program(1.0) 
[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"mldb_token", "mldb-4blgx74ype"}})]
{
    func main_image<ios18>(tensor<fp16, [1, 3072, 11, 11]> input) {
            tensor<fp16, [768, 3072, 1, 1]> vision_model_conv1_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1769600))))[name = tensor<string, []>("vision_model_conv1_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1781952))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2224384))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2236736))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2679168))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2691520))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3133952))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3146304))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3588736))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_0_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3601088))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5370624))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_0_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5419840))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7189376))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7201728))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7644160))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7656512))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8098944))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8111296))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8553728))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8566080))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9008512))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_1_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9020864))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(10790400))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_1_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(10839616))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12609152))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12621504))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13063936))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13076288))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13518720))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13531072))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13973504))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13985856))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14428288))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_2_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14440640))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16210176))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_2_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16259392))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18028928))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18041280))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18483712))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18496064))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18938496))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18950848))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19393280))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19405632))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19848064))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_3_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19860416))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21629952))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_3_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21679168))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23448704))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23461056))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23903488))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23915840))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24358272))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24370624))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24813056))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24825408))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(25267840))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_4_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(25280192))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27049728))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_4_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27098944))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(28868480))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(28880832))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29323264))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29335616))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29778048))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29790400))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30232832))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30245184))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30687616))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_5_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30699968))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(32469504))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_5_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(32518720))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34288256))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34300608))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34743040))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34755392))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35197824))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35210176))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35652608))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35664960))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(36107392))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_6_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(36119744))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37889280))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_6_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37938496))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39708032))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39720384))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40162816))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40175168))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40617600))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40629952))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41072384))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41084736))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41527168))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_7_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41539520))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43309056))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_7_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43358272))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45127808))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45140160))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45582592))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45594944))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46037376))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46049728))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46492160))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46504512))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46946944))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_8_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46959296))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48728832))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_8_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48778048))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50547584))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50559936))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51002368))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51014720))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51457152))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51469504))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51911936))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51924288))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52366720))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_9_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52379072))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54148608))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_9_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54197824))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55967360))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55979712))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56422144))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56434496))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56876928))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56889280))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57331712))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57344064))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57786496))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_10_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57798848))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59568384))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_10_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59617600))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61387136))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61399488))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61841920))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61854272))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62296704))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62309056))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62751488))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62763840))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63206272))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_11_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63218624))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64988160))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_11_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(65037376))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(66806912))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [512, 768]> vision_proj_0_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [512, 768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(66819264))), lut = tensor<fp16, [64, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67114240))))[name = tensor<string, []>("vision_proj_0_weight_cast_fp16")];
            tensor<int32, []> var_15 = const()[name = tensor<string, []>("op_15"), val = tensor<int32, []>(1)];
            tensor<int32, [2]> var_28 = const()[name = tensor<string, []>("op_28"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_30 = const()[name = tensor<string, []>("op_30"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_3_pad_type_0 = const()[name = tensor<string, []>("x_3_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_3_pad_0 = const()[name = tensor<string, []>("x_3_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [1, 768, 11, 11]> x_3_cast_fp16 = conv(dilations = var_30, groups = var_15, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = var_28, weight = vision_model_conv1_weight_cast_fp16, x = input)[name = tensor<string, []>("x_3_cast_fp16")];
            tensor<int32, [3]> var_35 = const()[name = tensor<string, []>("op_35"), val = tensor<int32, [3]>([1, 768, -1])];
            tensor<fp16, [1, 768, 121]> x_5_cast_fp16 = reshape(shape = var_35, x = x_3_cast_fp16)[name = tensor<string, []>("x_5_cast_fp16")];
            tensor<bool, []> x_9_interleave_0 = const()[name = tensor<string, []>("x_9_interleave_0"), val = tensor<bool, []>(false)];
            tensor<int32, []> const_80 = const()[name = tensor<string, []>("const_80"), val = tensor<int32, []>(2)];
            tensor<fp16, [1, 768, 1]> const_79_to_fp16 = const()[name = tensor<string, []>("const_79_to_fp16"), val = tensor<fp16, [1, 768, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/unique_weight.bin"), offset = tensor<uint64, []>(64)))];
            tensor<fp16, [1, 768, 122]> x_9_cast_fp16 = concat(axis = const_80, interleave = x_9_interleave_0, values = (const_79_to_fp16, x_5_cast_fp16))[name = tensor<string, []>("x_9_cast_fp16")];
            tensor<fp16, [1, 768, 122]> const_81_to_fp16 = const()[name = tensor<string, []>("const_81_to_fp16"), val = tensor<fp16, [1, 768, 122]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67147136)))];
            tensor<fp16, [1, 768, 122]> inputs_1_cast_fp16 = add(x = x_9_cast_fp16, y = const_81_to_fp16)[name = tensor<string, []>("inputs_1_cast_fp16")];
            tensor<int32, [1]> inputs_3_axes_0 = const()[name = tensor<string, []>("inputs_3_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<fp16, [1, 768, 1, 122]> inputs_3_cast_fp16 = expand_dims(axes = inputs_3_axes_0, x = inputs_1_cast_fp16)[name = tensor<string, []>("inputs_3_cast_fp16")];
            tensor<int32, [1]> out_1_axes_0 = const()[name = tensor<string, []>("out_1_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_59_to_fp16 = const()[name = tensor<string, []>("op_59_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_1_cast_fp16 = layer_norm(axes = out_1_axes_0, epsilon = var_59_to_fp16, x = inputs_3_cast_fp16)[name = tensor<string, []>("out_1_cast_fp16")];
            tensor<fp16, [768]> inputs_5_mean_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_mean_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67334592)))];
            tensor<fp16, [768]> inputs_5_variance_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_variance_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67336192)))];
            tensor<fp16, [768]> inputs_5_gamma_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67337792)))];
            tensor<fp16, [768]> inputs_5_beta_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67339392)))];
            tensor<fp16, []> inputs_5_epsilon_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> inputs_5_cast_fp16 = batch_norm(beta = inputs_5_beta_0_to_fp16, epsilon = inputs_5_epsilon_0_to_fp16, gamma = inputs_5_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_1_cast_fp16)[name = tensor<string, []>("inputs_5_cast_fp16")];
            tensor<int32, [1]> out_3_axes_0 = const()[name = tensor<string, []>("out_3_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_109_to_fp16 = const()[name = tensor<string, []>("op_109_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_3_cast_fp16 = layer_norm(axes = out_3_axes_0, epsilon = var_109_to_fp16, x = inputs_5_cast_fp16)[name = tensor<string, []>("out_3_cast_fp16")];
            tensor<fp16, [768]> query_1_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_1_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67340992)))];
            tensor<fp16, [768]> query_1_beta_0_to_fp16 = const()[name = tensor<string, []>("query_1_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67342592)))];
            tensor<fp16, []> query_1_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_1_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_1_cast_fp16 = batch_norm(beta = query_1_beta_0_to_fp16, epsilon = query_1_epsilon_0_to_fp16, gamma = query_1_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_3_cast_fp16)[name = tensor<string, []>("query_1_cast_fp16")];
            tensor<int32, [2]> var_125 = const()[name = tensor<string, []>("op_125"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_127 = const()[name = tensor<string, []>("op_127"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_129_pad_type_0 = const()[name = tensor<string, []>("op_129_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_129_pad_0 = const()[name = tensor<string, []>("op_129_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67344192)))];
            tensor<fp16, [1, 768, 1, 122]> var_129_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_query_bias_to_fp16, dilations = var_127, groups = var_15, pad = var_129_pad_0, pad_type = var_129_pad_type_0, strides = var_125, weight = vision_model_transformer_resblocks_0_attn_query_weight_cast_fp16, x = query_1_cast_fp16)[name = tensor<string, []>("op_129_cast_fp16")];
            tensor<int32, [2]> var_132 = const()[name = tensor<string, []>("op_132"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_134 = const()[name = tensor<string, []>("op_134"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_1_pad_type_0 = const()[name = tensor<string, []>("k_1_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_1_pad_0 = const()[name = tensor<string, []>("k_1_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67345792)))];
            tensor<fp16, [1, 768, 1, 122]> k_1_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_key_bias_to_fp16, dilations = var_134, groups = var_15, pad = k_1_pad_0, pad_type = k_1_pad_type_0, strides = var_132, weight = vision_model_transformer_resblocks_0_attn_key_weight_cast_fp16, x = query_1_cast_fp16)[name = tensor<string, []>("k_1_cast_fp16")];
            tensor<int32, [2]> var_139 = const()[name = tensor<string, []>("op_139"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_141 = const()[name = tensor<string, []>("op_141"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_143_pad_type_0 = const()[name = tensor<string, []>("op_143_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_143_pad_0 = const()[name = tensor<string, []>("op_143_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67347392)))];
            tensor<fp16, [1, 768, 1, 122]> var_143_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_value_bias_to_fp16, dilations = var_141, groups = var_15, pad = var_143_pad_0, pad_type = var_143_pad_type_0, strides = var_139, weight = vision_model_transformer_resblocks_0_attn_value_weight_cast_fp16, x = query_1_cast_fp16)[name = tensor<string, []>("op_143_cast_fp16")];
            tensor<int32, [12]> tile_0 = const()[name = tensor<string, []>("tile_0"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_144_axis_0 = const()[name = tensor<string, []>("op_144_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_144_cast_fp16_11 = split(axis = var_144_axis_0, split_sizes = tile_0, x = var_129_cast_fp16)[name = tensor<string, []>("op_144_cast_fp16")];
            tensor<int32, [4]> var_157_perm_0 = const()[name = tensor<string, []>("op_157_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_1 = const()[name = tensor<string, []>("tile_1"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_158_axis_0 = const()[name = tensor<string, []>("op_158_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_13 = transpose(perm = var_157_perm_0, x = k_1_cast_fp16)[name = tensor<string, []>("transpose_13")];
            tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_158_cast_fp16_11 = split(axis = var_158_axis_0, split_sizes = tile_1, x = transpose_13)[name = tensor<string, []>("op_158_cast_fp16")];
            tensor<int32, [12]> tile_2 = const()[name = tensor<string, []>("tile_2"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_171_axis_0 = const()[name = tensor<string, []>("op_171_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_171_cast_fp16_11 = split(axis = var_171_axis_0, split_sizes = tile_2, x = var_143_cast_fp16)[name = tensor<string, []>("op_171_cast_fp16")];
            tensor<string, []> var_185_equation_0 = const()[name = tensor<string, []>("op_185_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_185_cast_fp16 = einsum(equation = var_185_equation_0, values = (var_158_cast_fp16_0, var_144_cast_fp16_0))[name = tensor<string, []>("op_185_cast_fp16")];
            tensor<fp16, []> var_186_to_fp16 = const()[name = tensor<string, []>("op_186_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_1_cast_fp16 = mul(x = var_185_cast_fp16, y = var_186_to_fp16)[name = tensor<string, []>("aw_1_cast_fp16")];
            tensor<string, []> var_189_equation_0 = const()[name = tensor<string, []>("op_189_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_189_cast_fp16 = einsum(equation = var_189_equation_0, values = (var_158_cast_fp16_1, var_144_cast_fp16_1))[name = tensor<string, []>("op_189_cast_fp16")];
            tensor<fp16, []> var_190_to_fp16 = const()[name = tensor<string, []>("op_190_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_3_cast_fp16 = mul(x = var_189_cast_fp16, y = var_190_to_fp16)[name = tensor<string, []>("aw_3_cast_fp16")];
            tensor<string, []> var_193_equation_0 = const()[name = tensor<string, []>("op_193_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_193_cast_fp16 = einsum(equation = var_193_equation_0, values = (var_158_cast_fp16_2, var_144_cast_fp16_2))[name = tensor<string, []>("op_193_cast_fp16")];
            tensor<fp16, []> var_194_to_fp16 = const()[name = tensor<string, []>("op_194_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_5_cast_fp16 = mul(x = var_193_cast_fp16, y = var_194_to_fp16)[name = tensor<string, []>("aw_5_cast_fp16")];
            tensor<string, []> var_197_equation_0 = const()[name = tensor<string, []>("op_197_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_197_cast_fp16 = einsum(equation = var_197_equation_0, values = (var_158_cast_fp16_3, var_144_cast_fp16_3))[name = tensor<string, []>("op_197_cast_fp16")];
            tensor<fp16, []> var_198_to_fp16 = const()[name = tensor<string, []>("op_198_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_7_cast_fp16 = mul(x = var_197_cast_fp16, y = var_198_to_fp16)[name = tensor<string, []>("aw_7_cast_fp16")];
            tensor<string, []> var_201_equation_0 = const()[name = tensor<string, []>("op_201_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_201_cast_fp16 = einsum(equation = var_201_equation_0, values = (var_158_cast_fp16_4, var_144_cast_fp16_4))[name = tensor<string, []>("op_201_cast_fp16")];
            tensor<fp16, []> var_202_to_fp16 = const()[name = tensor<string, []>("op_202_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_9_cast_fp16 = mul(x = var_201_cast_fp16, y = var_202_to_fp16)[name = tensor<string, []>("aw_9_cast_fp16")];
            tensor<string, []> var_205_equation_0 = const()[name = tensor<string, []>("op_205_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_205_cast_fp16 = einsum(equation = var_205_equation_0, values = (var_158_cast_fp16_5, var_144_cast_fp16_5))[name = tensor<string, []>("op_205_cast_fp16")];
            tensor<fp16, []> var_206_to_fp16 = const()[name = tensor<string, []>("op_206_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_11_cast_fp16 = mul(x = var_205_cast_fp16, y = var_206_to_fp16)[name = tensor<string, []>("aw_11_cast_fp16")];
            tensor<string, []> var_209_equation_0 = const()[name = tensor<string, []>("op_209_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_209_cast_fp16 = einsum(equation = var_209_equation_0, values = (var_158_cast_fp16_6, var_144_cast_fp16_6))[name = tensor<string, []>("op_209_cast_fp16")];
            tensor<fp16, []> var_210_to_fp16 = const()[name = tensor<string, []>("op_210_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_13_cast_fp16 = mul(x = var_209_cast_fp16, y = var_210_to_fp16)[name = tensor<string, []>("aw_13_cast_fp16")];
            tensor<string, []> var_213_equation_0 = const()[name = tensor<string, []>("op_213_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_213_cast_fp16 = einsum(equation = var_213_equation_0, values = (var_158_cast_fp16_7, var_144_cast_fp16_7))[name = tensor<string, []>("op_213_cast_fp16")];
            tensor<fp16, []> var_214_to_fp16 = const()[name = tensor<string, []>("op_214_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_15_cast_fp16 = mul(x = var_213_cast_fp16, y = var_214_to_fp16)[name = tensor<string, []>("aw_15_cast_fp16")];
            tensor<string, []> var_217_equation_0 = const()[name = tensor<string, []>("op_217_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_217_cast_fp16 = einsum(equation = var_217_equation_0, values = (var_158_cast_fp16_8, var_144_cast_fp16_8))[name = tensor<string, []>("op_217_cast_fp16")];
            tensor<fp16, []> var_218_to_fp16 = const()[name = tensor<string, []>("op_218_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_17_cast_fp16 = mul(x = var_217_cast_fp16, y = var_218_to_fp16)[name = tensor<string, []>("aw_17_cast_fp16")];
            tensor<string, []> var_221_equation_0 = const()[name = tensor<string, []>("op_221_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_221_cast_fp16 = einsum(equation = var_221_equation_0, values = (var_158_cast_fp16_9, var_144_cast_fp16_9))[name = tensor<string, []>("op_221_cast_fp16")];
            tensor<fp16, []> var_222_to_fp16 = const()[name = tensor<string, []>("op_222_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_19_cast_fp16 = mul(x = var_221_cast_fp16, y = var_222_to_fp16)[name = tensor<string, []>("aw_19_cast_fp16")];
            tensor<string, []> var_225_equation_0 = const()[name = tensor<string, []>("op_225_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_225_cast_fp16 = einsum(equation = var_225_equation_0, values = (var_158_cast_fp16_10, var_144_cast_fp16_10))[name = tensor<string, []>("op_225_cast_fp16")];
            tensor<fp16, []> var_226_to_fp16 = const()[name = tensor<string, []>("op_226_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_21_cast_fp16 = mul(x = var_225_cast_fp16, y = var_226_to_fp16)[name = tensor<string, []>("aw_21_cast_fp16")];
            tensor<string, []> var_229_equation_0 = const()[name = tensor<string, []>("op_229_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_229_cast_fp16 = einsum(equation = var_229_equation_0, values = (var_158_cast_fp16_11, var_144_cast_fp16_11))[name = tensor<string, []>("op_229_cast_fp16")];
            tensor<fp16, []> var_230_to_fp16 = const()[name = tensor<string, []>("op_230_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_23_cast_fp16 = mul(x = var_229_cast_fp16, y = var_230_to_fp16)[name = tensor<string, []>("aw_23_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_232_cast_fp16 = softmax(axis = var_15, x = aw_1_cast_fp16)[name = tensor<string, []>("op_232_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_233_cast_fp16 = softmax(axis = var_15, x = aw_3_cast_fp16)[name = tensor<string, []>("op_233_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_234_cast_fp16 = softmax(axis = var_15, x = aw_5_cast_fp16)[name = tensor<string, []>("op_234_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_235_cast_fp16 = softmax(axis = var_15, x = aw_7_cast_fp16)[name = tensor<string, []>("op_235_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_236_cast_fp16 = softmax(axis = var_15, x = aw_9_cast_fp16)[name = tensor<string, []>("op_236_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_237_cast_fp16 = softmax(axis = var_15, x = aw_11_cast_fp16)[name = tensor<string, []>("op_237_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_238_cast_fp16 = softmax(axis = var_15, x = aw_13_cast_fp16)[name = tensor<string, []>("op_238_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_239_cast_fp16 = softmax(axis = var_15, x = aw_15_cast_fp16)[name = tensor<string, []>("op_239_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_240_cast_fp16 = softmax(axis = var_15, x = aw_17_cast_fp16)[name = tensor<string, []>("op_240_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_241_cast_fp16 = softmax(axis = var_15, x = aw_19_cast_fp16)[name = tensor<string, []>("op_241_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_242_cast_fp16 = softmax(axis = var_15, x = aw_21_cast_fp16)[name = tensor<string, []>("op_242_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_243_cast_fp16 = softmax(axis = var_15, x = aw_23_cast_fp16)[name = tensor<string, []>("op_243_cast_fp16")];
            tensor<string, []> var_245_equation_0 = const()[name = tensor<string, []>("op_245_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_245_cast_fp16 = einsum(equation = var_245_equation_0, values = (var_171_cast_fp16_0, var_232_cast_fp16))[name = tensor<string, []>("op_245_cast_fp16")];
            tensor<string, []> var_247_equation_0 = const()[name = tensor<string, []>("op_247_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_247_cast_fp16 = einsum(equation = var_247_equation_0, values = (var_171_cast_fp16_1, var_233_cast_fp16))[name = tensor<string, []>("op_247_cast_fp16")];
            tensor<string, []> var_249_equation_0 = const()[name = tensor<string, []>("op_249_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_249_cast_fp16 = einsum(equation = var_249_equation_0, values = (var_171_cast_fp16_2, var_234_cast_fp16))[name = tensor<string, []>("op_249_cast_fp16")];
            tensor<string, []> var_251_equation_0 = const()[name = tensor<string, []>("op_251_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_251_cast_fp16 = einsum(equation = var_251_equation_0, values = (var_171_cast_fp16_3, var_235_cast_fp16))[name = tensor<string, []>("op_251_cast_fp16")];
            tensor<string, []> var_253_equation_0 = const()[name = tensor<string, []>("op_253_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_253_cast_fp16 = einsum(equation = var_253_equation_0, values = (var_171_cast_fp16_4, var_236_cast_fp16))[name = tensor<string, []>("op_253_cast_fp16")];
            tensor<string, []> var_255_equation_0 = const()[name = tensor<string, []>("op_255_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_255_cast_fp16 = einsum(equation = var_255_equation_0, values = (var_171_cast_fp16_5, var_237_cast_fp16))[name = tensor<string, []>("op_255_cast_fp16")];
            tensor<string, []> var_257_equation_0 = const()[name = tensor<string, []>("op_257_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_257_cast_fp16 = einsum(equation = var_257_equation_0, values = (var_171_cast_fp16_6, var_238_cast_fp16))[name = tensor<string, []>("op_257_cast_fp16")];
            tensor<string, []> var_259_equation_0 = const()[name = tensor<string, []>("op_259_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_259_cast_fp16 = einsum(equation = var_259_equation_0, values = (var_171_cast_fp16_7, var_239_cast_fp16))[name = tensor<string, []>("op_259_cast_fp16")];
            tensor<string, []> var_261_equation_0 = const()[name = tensor<string, []>("op_261_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_261_cast_fp16 = einsum(equation = var_261_equation_0, values = (var_171_cast_fp16_8, var_240_cast_fp16))[name = tensor<string, []>("op_261_cast_fp16")];
            tensor<string, []> var_263_equation_0 = const()[name = tensor<string, []>("op_263_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_263_cast_fp16 = einsum(equation = var_263_equation_0, values = (var_171_cast_fp16_9, var_241_cast_fp16))[name = tensor<string, []>("op_263_cast_fp16")];
            tensor<string, []> var_265_equation_0 = const()[name = tensor<string, []>("op_265_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_265_cast_fp16 = einsum(equation = var_265_equation_0, values = (var_171_cast_fp16_10, var_242_cast_fp16))[name = tensor<string, []>("op_265_cast_fp16")];
            tensor<string, []> var_267_equation_0 = const()[name = tensor<string, []>("op_267_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_267_cast_fp16 = einsum(equation = var_267_equation_0, values = (var_171_cast_fp16_11, var_243_cast_fp16))[name = tensor<string, []>("op_267_cast_fp16")];
            tensor<bool, []> input_1_interleave_0 = const()[name = tensor<string, []>("input_1_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_1_cast_fp16 = concat(axis = var_15, interleave = input_1_interleave_0, values = (var_245_cast_fp16, var_247_cast_fp16, var_249_cast_fp16, var_251_cast_fp16, var_253_cast_fp16, var_255_cast_fp16, var_257_cast_fp16, var_259_cast_fp16, var_261_cast_fp16, var_263_cast_fp16, var_265_cast_fp16, var_267_cast_fp16))[name = tensor<string, []>("input_1_cast_fp16")];
            tensor<int32, [2]> var_272 = const()[name = tensor<string, []>("op_272"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_274 = const()[name = tensor<string, []>("op_274"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_276_pad_type_0 = const()[name = tensor<string, []>("op_276_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_276_pad_0 = const()[name = tensor<string, []>("op_276_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67348992)))];
            tensor<fp16, [1, 768, 1, 122]> var_276_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_out_proj_bias_to_fp16, dilations = var_274, groups = var_15, pad = var_276_pad_0, pad_type = var_276_pad_type_0, strides = var_272, weight = vision_model_transformer_resblocks_0_attn_out_proj_weight_cast_fp16, x = input_1_cast_fp16)[name = tensor<string, []>("op_276_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_7_cast_fp16 = add(x = inputs_5_cast_fp16, y = var_276_cast_fp16)[name = tensor<string, []>("inputs_7_cast_fp16")];
            tensor<int32, [1]> out_5_axes_0 = const()[name = tensor<string, []>("out_5_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_286_to_fp16 = const()[name = tensor<string, []>("op_286_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_5_cast_fp16 = layer_norm(axes = out_5_axes_0, epsilon = var_286_to_fp16, x = inputs_7_cast_fp16)[name = tensor<string, []>("out_5_cast_fp16")];
            tensor<fp16, [768]> input_3_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_3_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67350592)))];
            tensor<fp16, [768]> input_3_beta_0_to_fp16 = const()[name = tensor<string, []>("input_3_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67352192)))];
            tensor<fp16, []> input_3_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_3_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_3_cast_fp16 = batch_norm(beta = input_3_beta_0_to_fp16, epsilon = input_3_epsilon_0_to_fp16, gamma = input_3_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_5_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
            tensor<int32, [2]> var_300 = const()[name = tensor<string, []>("op_300"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_302 = const()[name = tensor<string, []>("op_302"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_11_pad_type_0 = const()[name = tensor<string, []>("x_11_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_11_pad_0 = const()[name = tensor<string, []>("x_11_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_0_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67353792)))];
            tensor<fp16, [1, 3072, 1, 122]> x_11_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_mlp_c_fc_bias_to_fp16, dilations = var_302, groups = var_15, pad = x_11_pad_0, pad_type = x_11_pad_type_0, strides = var_300, weight = vision_model_transformer_resblocks_0_mlp_c_fc_weight_cast_fp16, x = input_3_cast_fp16)[name = tensor<string, []>("x_11_cast_fp16")];
            tensor<fp16, []> var_305_to_fp16 = const()[name = tensor<string, []>("op_305_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_306_cast_fp16 = mul(x = x_11_cast_fp16, y = var_305_to_fp16)[name = tensor<string, []>("op_306_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_307_cast_fp16 = sigmoid(x = var_306_cast_fp16)[name = tensor<string, []>("op_307_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_5_cast_fp16 = mul(x = x_11_cast_fp16, y = var_307_cast_fp16)[name = tensor<string, []>("input_5_cast_fp16")];
            tensor<int32, [2]> var_311 = const()[name = tensor<string, []>("op_311"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_313 = const()[name = tensor<string, []>("op_313"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_315_pad_type_0 = const()[name = tensor<string, []>("op_315_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_315_pad_0 = const()[name = tensor<string, []>("op_315_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67360000)))];
            tensor<fp16, [1, 768, 1, 122]> var_315_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_mlp_c_proj_bias_to_fp16, dilations = var_313, groups = var_15, pad = var_315_pad_0, pad_type = var_315_pad_type_0, strides = var_311, weight = vision_model_transformer_resblocks_0_mlp_c_proj_weight_cast_fp16, x = input_5_cast_fp16)[name = tensor<string, []>("op_315_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_9_cast_fp16 = add(x = inputs_7_cast_fp16, y = var_315_cast_fp16)[name = tensor<string, []>("inputs_9_cast_fp16")];
            tensor<int32, [1]> out_7_axes_0 = const()[name = tensor<string, []>("out_7_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_329_to_fp16 = const()[name = tensor<string, []>("op_329_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_7_cast_fp16 = layer_norm(axes = out_7_axes_0, epsilon = var_329_to_fp16, x = inputs_9_cast_fp16)[name = tensor<string, []>("out_7_cast_fp16")];
            tensor<fp16, [768]> query_3_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_3_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67361600)))];
            tensor<fp16, [768]> query_3_beta_0_to_fp16 = const()[name = tensor<string, []>("query_3_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67363200)))];
            tensor<fp16, []> query_3_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_3_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_3_cast_fp16 = batch_norm(beta = query_3_beta_0_to_fp16, epsilon = query_3_epsilon_0_to_fp16, gamma = query_3_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_7_cast_fp16)[name = tensor<string, []>("query_3_cast_fp16")];
            tensor<int32, [2]> var_345 = const()[name = tensor<string, []>("op_345"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_347 = const()[name = tensor<string, []>("op_347"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_349_pad_type_0 = const()[name = tensor<string, []>("op_349_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_349_pad_0 = const()[name = tensor<string, []>("op_349_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67364800)))];
            tensor<fp16, [1, 768, 1, 122]> var_349_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_query_bias_to_fp16, dilations = var_347, groups = var_15, pad = var_349_pad_0, pad_type = var_349_pad_type_0, strides = var_345, weight = vision_model_transformer_resblocks_1_attn_query_weight_cast_fp16, x = query_3_cast_fp16)[name = tensor<string, []>("op_349_cast_fp16")];
            tensor<int32, [2]> var_352 = const()[name = tensor<string, []>("op_352"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_354 = const()[name = tensor<string, []>("op_354"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_3_pad_type_0 = const()[name = tensor<string, []>("k_3_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_3_pad_0 = const()[name = tensor<string, []>("k_3_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67366400)))];
            tensor<fp16, [1, 768, 1, 122]> k_3_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_key_bias_to_fp16, dilations = var_354, groups = var_15, pad = k_3_pad_0, pad_type = k_3_pad_type_0, strides = var_352, weight = vision_model_transformer_resblocks_1_attn_key_weight_cast_fp16, x = query_3_cast_fp16)[name = tensor<string, []>("k_3_cast_fp16")];
            tensor<int32, [2]> var_359 = const()[name = tensor<string, []>("op_359"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_361 = const()[name = tensor<string, []>("op_361"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_363_pad_type_0 = const()[name = tensor<string, []>("op_363_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_363_pad_0 = const()[name = tensor<string, []>("op_363_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67368000)))];
            tensor<fp16, [1, 768, 1, 122]> var_363_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_value_bias_to_fp16, dilations = var_361, groups = var_15, pad = var_363_pad_0, pad_type = var_363_pad_type_0, strides = var_359, weight = vision_model_transformer_resblocks_1_attn_value_weight_cast_fp16, x = query_3_cast_fp16)[name = tensor<string, []>("op_363_cast_fp16")];
            tensor<int32, [12]> tile_3 = const()[name = tensor<string, []>("tile_3"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_364_axis_0 = const()[name = tensor<string, []>("op_364_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_364_cast_fp16_11 = split(axis = var_364_axis_0, split_sizes = tile_3, x = var_349_cast_fp16)[name = tensor<string, []>("op_364_cast_fp16")];
            tensor<int32, [4]> var_377_perm_0 = const()[name = tensor<string, []>("op_377_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_4 = const()[name = tensor<string, []>("tile_4"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_378_axis_0 = const()[name = tensor<string, []>("op_378_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_12 = transpose(perm = var_377_perm_0, x = k_3_cast_fp16)[name = tensor<string, []>("transpose_12")];
            tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_378_cast_fp16_11 = split(axis = var_378_axis_0, split_sizes = tile_4, x = transpose_12)[name = tensor<string, []>("op_378_cast_fp16")];
            tensor<int32, [12]> tile_5 = const()[name = tensor<string, []>("tile_5"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_391_axis_0 = const()[name = tensor<string, []>("op_391_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_391_cast_fp16_11 = split(axis = var_391_axis_0, split_sizes = tile_5, x = var_363_cast_fp16)[name = tensor<string, []>("op_391_cast_fp16")];
            tensor<string, []> var_405_equation_0 = const()[name = tensor<string, []>("op_405_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_405_cast_fp16 = einsum(equation = var_405_equation_0, values = (var_378_cast_fp16_0, var_364_cast_fp16_0))[name = tensor<string, []>("op_405_cast_fp16")];
            tensor<fp16, []> var_406_to_fp16 = const()[name = tensor<string, []>("op_406_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_25_cast_fp16 = mul(x = var_405_cast_fp16, y = var_406_to_fp16)[name = tensor<string, []>("aw_25_cast_fp16")];
            tensor<string, []> var_409_equation_0 = const()[name = tensor<string, []>("op_409_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_409_cast_fp16 = einsum(equation = var_409_equation_0, values = (var_378_cast_fp16_1, var_364_cast_fp16_1))[name = tensor<string, []>("op_409_cast_fp16")];
            tensor<fp16, []> var_410_to_fp16 = const()[name = tensor<string, []>("op_410_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_27_cast_fp16 = mul(x = var_409_cast_fp16, y = var_410_to_fp16)[name = tensor<string, []>("aw_27_cast_fp16")];
            tensor<string, []> var_413_equation_0 = const()[name = tensor<string, []>("op_413_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_413_cast_fp16 = einsum(equation = var_413_equation_0, values = (var_378_cast_fp16_2, var_364_cast_fp16_2))[name = tensor<string, []>("op_413_cast_fp16")];
            tensor<fp16, []> var_414_to_fp16 = const()[name = tensor<string, []>("op_414_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_29_cast_fp16 = mul(x = var_413_cast_fp16, y = var_414_to_fp16)[name = tensor<string, []>("aw_29_cast_fp16")];
            tensor<string, []> var_417_equation_0 = const()[name = tensor<string, []>("op_417_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_417_cast_fp16 = einsum(equation = var_417_equation_0, values = (var_378_cast_fp16_3, var_364_cast_fp16_3))[name = tensor<string, []>("op_417_cast_fp16")];
            tensor<fp16, []> var_418_to_fp16 = const()[name = tensor<string, []>("op_418_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_31_cast_fp16 = mul(x = var_417_cast_fp16, y = var_418_to_fp16)[name = tensor<string, []>("aw_31_cast_fp16")];
            tensor<string, []> var_421_equation_0 = const()[name = tensor<string, []>("op_421_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_421_cast_fp16 = einsum(equation = var_421_equation_0, values = (var_378_cast_fp16_4, var_364_cast_fp16_4))[name = tensor<string, []>("op_421_cast_fp16")];
            tensor<fp16, []> var_422_to_fp16 = const()[name = tensor<string, []>("op_422_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_33_cast_fp16 = mul(x = var_421_cast_fp16, y = var_422_to_fp16)[name = tensor<string, []>("aw_33_cast_fp16")];
            tensor<string, []> var_425_equation_0 = const()[name = tensor<string, []>("op_425_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_425_cast_fp16 = einsum(equation = var_425_equation_0, values = (var_378_cast_fp16_5, var_364_cast_fp16_5))[name = tensor<string, []>("op_425_cast_fp16")];
            tensor<fp16, []> var_426_to_fp16 = const()[name = tensor<string, []>("op_426_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_35_cast_fp16 = mul(x = var_425_cast_fp16, y = var_426_to_fp16)[name = tensor<string, []>("aw_35_cast_fp16")];
            tensor<string, []> var_429_equation_0 = const()[name = tensor<string, []>("op_429_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_429_cast_fp16 = einsum(equation = var_429_equation_0, values = (var_378_cast_fp16_6, var_364_cast_fp16_6))[name = tensor<string, []>("op_429_cast_fp16")];
            tensor<fp16, []> var_430_to_fp16 = const()[name = tensor<string, []>("op_430_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_37_cast_fp16 = mul(x = var_429_cast_fp16, y = var_430_to_fp16)[name = tensor<string, []>("aw_37_cast_fp16")];
            tensor<string, []> var_433_equation_0 = const()[name = tensor<string, []>("op_433_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_433_cast_fp16 = einsum(equation = var_433_equation_0, values = (var_378_cast_fp16_7, var_364_cast_fp16_7))[name = tensor<string, []>("op_433_cast_fp16")];
            tensor<fp16, []> var_434_to_fp16 = const()[name = tensor<string, []>("op_434_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_39_cast_fp16 = mul(x = var_433_cast_fp16, y = var_434_to_fp16)[name = tensor<string, []>("aw_39_cast_fp16")];
            tensor<string, []> var_437_equation_0 = const()[name = tensor<string, []>("op_437_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_437_cast_fp16 = einsum(equation = var_437_equation_0, values = (var_378_cast_fp16_8, var_364_cast_fp16_8))[name = tensor<string, []>("op_437_cast_fp16")];
            tensor<fp16, []> var_438_to_fp16 = const()[name = tensor<string, []>("op_438_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_41_cast_fp16 = mul(x = var_437_cast_fp16, y = var_438_to_fp16)[name = tensor<string, []>("aw_41_cast_fp16")];
            tensor<string, []> var_441_equation_0 = const()[name = tensor<string, []>("op_441_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_441_cast_fp16 = einsum(equation = var_441_equation_0, values = (var_378_cast_fp16_9, var_364_cast_fp16_9))[name = tensor<string, []>("op_441_cast_fp16")];
            tensor<fp16, []> var_442_to_fp16 = const()[name = tensor<string, []>("op_442_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_43_cast_fp16 = mul(x = var_441_cast_fp16, y = var_442_to_fp16)[name = tensor<string, []>("aw_43_cast_fp16")];
            tensor<string, []> var_445_equation_0 = const()[name = tensor<string, []>("op_445_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_445_cast_fp16 = einsum(equation = var_445_equation_0, values = (var_378_cast_fp16_10, var_364_cast_fp16_10))[name = tensor<string, []>("op_445_cast_fp16")];
            tensor<fp16, []> var_446_to_fp16 = const()[name = tensor<string, []>("op_446_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_45_cast_fp16 = mul(x = var_445_cast_fp16, y = var_446_to_fp16)[name = tensor<string, []>("aw_45_cast_fp16")];
            tensor<string, []> var_449_equation_0 = const()[name = tensor<string, []>("op_449_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_449_cast_fp16 = einsum(equation = var_449_equation_0, values = (var_378_cast_fp16_11, var_364_cast_fp16_11))[name = tensor<string, []>("op_449_cast_fp16")];
            tensor<fp16, []> var_450_to_fp16 = const()[name = tensor<string, []>("op_450_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_47_cast_fp16 = mul(x = var_449_cast_fp16, y = var_450_to_fp16)[name = tensor<string, []>("aw_47_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_452_cast_fp16 = softmax(axis = var_15, x = aw_25_cast_fp16)[name = tensor<string, []>("op_452_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_453_cast_fp16 = softmax(axis = var_15, x = aw_27_cast_fp16)[name = tensor<string, []>("op_453_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_454_cast_fp16 = softmax(axis = var_15, x = aw_29_cast_fp16)[name = tensor<string, []>("op_454_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_455_cast_fp16 = softmax(axis = var_15, x = aw_31_cast_fp16)[name = tensor<string, []>("op_455_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_456_cast_fp16 = softmax(axis = var_15, x = aw_33_cast_fp16)[name = tensor<string, []>("op_456_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_457_cast_fp16 = softmax(axis = var_15, x = aw_35_cast_fp16)[name = tensor<string, []>("op_457_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_458_cast_fp16 = softmax(axis = var_15, x = aw_37_cast_fp16)[name = tensor<string, []>("op_458_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_459_cast_fp16 = softmax(axis = var_15, x = aw_39_cast_fp16)[name = tensor<string, []>("op_459_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_460_cast_fp16 = softmax(axis = var_15, x = aw_41_cast_fp16)[name = tensor<string, []>("op_460_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_461_cast_fp16 = softmax(axis = var_15, x = aw_43_cast_fp16)[name = tensor<string, []>("op_461_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_462_cast_fp16 = softmax(axis = var_15, x = aw_45_cast_fp16)[name = tensor<string, []>("op_462_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_463_cast_fp16 = softmax(axis = var_15, x = aw_47_cast_fp16)[name = tensor<string, []>("op_463_cast_fp16")];
            tensor<string, []> var_465_equation_0 = const()[name = tensor<string, []>("op_465_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_465_cast_fp16 = einsum(equation = var_465_equation_0, values = (var_391_cast_fp16_0, var_452_cast_fp16))[name = tensor<string, []>("op_465_cast_fp16")];
            tensor<string, []> var_467_equation_0 = const()[name = tensor<string, []>("op_467_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_467_cast_fp16 = einsum(equation = var_467_equation_0, values = (var_391_cast_fp16_1, var_453_cast_fp16))[name = tensor<string, []>("op_467_cast_fp16")];
            tensor<string, []> var_469_equation_0 = const()[name = tensor<string, []>("op_469_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_469_cast_fp16 = einsum(equation = var_469_equation_0, values = (var_391_cast_fp16_2, var_454_cast_fp16))[name = tensor<string, []>("op_469_cast_fp16")];
            tensor<string, []> var_471_equation_0 = const()[name = tensor<string, []>("op_471_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_471_cast_fp16 = einsum(equation = var_471_equation_0, values = (var_391_cast_fp16_3, var_455_cast_fp16))[name = tensor<string, []>("op_471_cast_fp16")];
            tensor<string, []> var_473_equation_0 = const()[name = tensor<string, []>("op_473_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_473_cast_fp16 = einsum(equation = var_473_equation_0, values = (var_391_cast_fp16_4, var_456_cast_fp16))[name = tensor<string, []>("op_473_cast_fp16")];
            tensor<string, []> var_475_equation_0 = const()[name = tensor<string, []>("op_475_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_475_cast_fp16 = einsum(equation = var_475_equation_0, values = (var_391_cast_fp16_5, var_457_cast_fp16))[name = tensor<string, []>("op_475_cast_fp16")];
            tensor<string, []> var_477_equation_0 = const()[name = tensor<string, []>("op_477_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_477_cast_fp16 = einsum(equation = var_477_equation_0, values = (var_391_cast_fp16_6, var_458_cast_fp16))[name = tensor<string, []>("op_477_cast_fp16")];
            tensor<string, []> var_479_equation_0 = const()[name = tensor<string, []>("op_479_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_479_cast_fp16 = einsum(equation = var_479_equation_0, values = (var_391_cast_fp16_7, var_459_cast_fp16))[name = tensor<string, []>("op_479_cast_fp16")];
            tensor<string, []> var_481_equation_0 = const()[name = tensor<string, []>("op_481_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_481_cast_fp16 = einsum(equation = var_481_equation_0, values = (var_391_cast_fp16_8, var_460_cast_fp16))[name = tensor<string, []>("op_481_cast_fp16")];
            tensor<string, []> var_483_equation_0 = const()[name = tensor<string, []>("op_483_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_483_cast_fp16 = einsum(equation = var_483_equation_0, values = (var_391_cast_fp16_9, var_461_cast_fp16))[name = tensor<string, []>("op_483_cast_fp16")];
            tensor<string, []> var_485_equation_0 = const()[name = tensor<string, []>("op_485_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_485_cast_fp16 = einsum(equation = var_485_equation_0, values = (var_391_cast_fp16_10, var_462_cast_fp16))[name = tensor<string, []>("op_485_cast_fp16")];
            tensor<string, []> var_487_equation_0 = const()[name = tensor<string, []>("op_487_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_487_cast_fp16 = einsum(equation = var_487_equation_0, values = (var_391_cast_fp16_11, var_463_cast_fp16))[name = tensor<string, []>("op_487_cast_fp16")];
            tensor<bool, []> input_7_interleave_0 = const()[name = tensor<string, []>("input_7_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_7_cast_fp16 = concat(axis = var_15, interleave = input_7_interleave_0, values = (var_465_cast_fp16, var_467_cast_fp16, var_469_cast_fp16, var_471_cast_fp16, var_473_cast_fp16, var_475_cast_fp16, var_477_cast_fp16, var_479_cast_fp16, var_481_cast_fp16, var_483_cast_fp16, var_485_cast_fp16, var_487_cast_fp16))[name = tensor<string, []>("input_7_cast_fp16")];
            tensor<int32, [2]> var_492 = const()[name = tensor<string, []>("op_492"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_494 = const()[name = tensor<string, []>("op_494"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_496_pad_type_0 = const()[name = tensor<string, []>("op_496_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_496_pad_0 = const()[name = tensor<string, []>("op_496_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67369600)))];
            tensor<fp16, [1, 768, 1, 122]> var_496_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_out_proj_bias_to_fp16, dilations = var_494, groups = var_15, pad = var_496_pad_0, pad_type = var_496_pad_type_0, strides = var_492, weight = vision_model_transformer_resblocks_1_attn_out_proj_weight_cast_fp16, x = input_7_cast_fp16)[name = tensor<string, []>("op_496_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_11_cast_fp16 = add(x = inputs_9_cast_fp16, y = var_496_cast_fp16)[name = tensor<string, []>("inputs_11_cast_fp16")];
            tensor<int32, [1]> out_9_axes_0 = const()[name = tensor<string, []>("out_9_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_506_to_fp16 = const()[name = tensor<string, []>("op_506_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_9_cast_fp16 = layer_norm(axes = out_9_axes_0, epsilon = var_506_to_fp16, x = inputs_11_cast_fp16)[name = tensor<string, []>("out_9_cast_fp16")];
            tensor<fp16, [768]> input_9_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_9_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67371200)))];
            tensor<fp16, [768]> input_9_beta_0_to_fp16 = const()[name = tensor<string, []>("input_9_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67372800)))];
            tensor<fp16, []> input_9_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_9_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_9_cast_fp16 = batch_norm(beta = input_9_beta_0_to_fp16, epsilon = input_9_epsilon_0_to_fp16, gamma = input_9_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_9_cast_fp16)[name = tensor<string, []>("input_9_cast_fp16")];
            tensor<int32, [2]> var_520 = const()[name = tensor<string, []>("op_520"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_522 = const()[name = tensor<string, []>("op_522"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_13_pad_type_0 = const()[name = tensor<string, []>("x_13_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_13_pad_0 = const()[name = tensor<string, []>("x_13_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_1_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67374400)))];
            tensor<fp16, [1, 3072, 1, 122]> x_13_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_mlp_c_fc_bias_to_fp16, dilations = var_522, groups = var_15, pad = x_13_pad_0, pad_type = x_13_pad_type_0, strides = var_520, weight = vision_model_transformer_resblocks_1_mlp_c_fc_weight_cast_fp16, x = input_9_cast_fp16)[name = tensor<string, []>("x_13_cast_fp16")];
            tensor<fp16, []> var_525_to_fp16 = const()[name = tensor<string, []>("op_525_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_526_cast_fp16 = mul(x = x_13_cast_fp16, y = var_525_to_fp16)[name = tensor<string, []>("op_526_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_527_cast_fp16 = sigmoid(x = var_526_cast_fp16)[name = tensor<string, []>("op_527_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_11_cast_fp16 = mul(x = x_13_cast_fp16, y = var_527_cast_fp16)[name = tensor<string, []>("input_11_cast_fp16")];
            tensor<int32, [2]> var_531 = const()[name = tensor<string, []>("op_531"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_533 = const()[name = tensor<string, []>("op_533"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_535_pad_type_0 = const()[name = tensor<string, []>("op_535_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_535_pad_0 = const()[name = tensor<string, []>("op_535_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67380608)))];
            tensor<fp16, [1, 768, 1, 122]> var_535_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_mlp_c_proj_bias_to_fp16, dilations = var_533, groups = var_15, pad = var_535_pad_0, pad_type = var_535_pad_type_0, strides = var_531, weight = vision_model_transformer_resblocks_1_mlp_c_proj_weight_cast_fp16, x = input_11_cast_fp16)[name = tensor<string, []>("op_535_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_13_cast_fp16 = add(x = inputs_11_cast_fp16, y = var_535_cast_fp16)[name = tensor<string, []>("inputs_13_cast_fp16")];
            tensor<int32, [1]> out_11_axes_0 = const()[name = tensor<string, []>("out_11_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_549_to_fp16 = const()[name = tensor<string, []>("op_549_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_11_cast_fp16 = layer_norm(axes = out_11_axes_0, epsilon = var_549_to_fp16, x = inputs_13_cast_fp16)[name = tensor<string, []>("out_11_cast_fp16")];
            tensor<fp16, [768]> query_5_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_5_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67382208)))];
            tensor<fp16, [768]> query_5_beta_0_to_fp16 = const()[name = tensor<string, []>("query_5_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67383808)))];
            tensor<fp16, []> query_5_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_5_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_5_cast_fp16 = batch_norm(beta = query_5_beta_0_to_fp16, epsilon = query_5_epsilon_0_to_fp16, gamma = query_5_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_11_cast_fp16)[name = tensor<string, []>("query_5_cast_fp16")];
            tensor<int32, [2]> var_565 = const()[name = tensor<string, []>("op_565"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_567 = const()[name = tensor<string, []>("op_567"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_569_pad_type_0 = const()[name = tensor<string, []>("op_569_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_569_pad_0 = const()[name = tensor<string, []>("op_569_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67385408)))];
            tensor<fp16, [1, 768, 1, 122]> var_569_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_query_bias_to_fp16, dilations = var_567, groups = var_15, pad = var_569_pad_0, pad_type = var_569_pad_type_0, strides = var_565, weight = vision_model_transformer_resblocks_2_attn_query_weight_cast_fp16, x = query_5_cast_fp16)[name = tensor<string, []>("op_569_cast_fp16")];
            tensor<int32, [2]> var_572 = const()[name = tensor<string, []>("op_572"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_574 = const()[name = tensor<string, []>("op_574"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_5_pad_type_0 = const()[name = tensor<string, []>("k_5_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_5_pad_0 = const()[name = tensor<string, []>("k_5_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67387008)))];
            tensor<fp16, [1, 768, 1, 122]> k_5_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_key_bias_to_fp16, dilations = var_574, groups = var_15, pad = k_5_pad_0, pad_type = k_5_pad_type_0, strides = var_572, weight = vision_model_transformer_resblocks_2_attn_key_weight_cast_fp16, x = query_5_cast_fp16)[name = tensor<string, []>("k_5_cast_fp16")];
            tensor<int32, [2]> var_579 = const()[name = tensor<string, []>("op_579"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_581 = const()[name = tensor<string, []>("op_581"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_583_pad_type_0 = const()[name = tensor<string, []>("op_583_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_583_pad_0 = const()[name = tensor<string, []>("op_583_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67388608)))];
            tensor<fp16, [1, 768, 1, 122]> var_583_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_value_bias_to_fp16, dilations = var_581, groups = var_15, pad = var_583_pad_0, pad_type = var_583_pad_type_0, strides = var_579, weight = vision_model_transformer_resblocks_2_attn_value_weight_cast_fp16, x = query_5_cast_fp16)[name = tensor<string, []>("op_583_cast_fp16")];
            tensor<int32, [12]> tile_6 = const()[name = tensor<string, []>("tile_6"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_584_axis_0 = const()[name = tensor<string, []>("op_584_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_584_cast_fp16_11 = split(axis = var_584_axis_0, split_sizes = tile_6, x = var_569_cast_fp16)[name = tensor<string, []>("op_584_cast_fp16")];
            tensor<int32, [4]> var_597_perm_0 = const()[name = tensor<string, []>("op_597_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_7 = const()[name = tensor<string, []>("tile_7"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_598_axis_0 = const()[name = tensor<string, []>("op_598_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_11 = transpose(perm = var_597_perm_0, x = k_5_cast_fp16)[name = tensor<string, []>("transpose_11")];
            tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_598_cast_fp16_11 = split(axis = var_598_axis_0, split_sizes = tile_7, x = transpose_11)[name = tensor<string, []>("op_598_cast_fp16")];
            tensor<int32, [12]> tile_8 = const()[name = tensor<string, []>("tile_8"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_611_axis_0 = const()[name = tensor<string, []>("op_611_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_611_cast_fp16_11 = split(axis = var_611_axis_0, split_sizes = tile_8, x = var_583_cast_fp16)[name = tensor<string, []>("op_611_cast_fp16")];
            tensor<string, []> var_625_equation_0 = const()[name = tensor<string, []>("op_625_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_625_cast_fp16 = einsum(equation = var_625_equation_0, values = (var_598_cast_fp16_0, var_584_cast_fp16_0))[name = tensor<string, []>("op_625_cast_fp16")];
            tensor<fp16, []> var_626_to_fp16 = const()[name = tensor<string, []>("op_626_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_49_cast_fp16 = mul(x = var_625_cast_fp16, y = var_626_to_fp16)[name = tensor<string, []>("aw_49_cast_fp16")];
            tensor<string, []> var_629_equation_0 = const()[name = tensor<string, []>("op_629_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_629_cast_fp16 = einsum(equation = var_629_equation_0, values = (var_598_cast_fp16_1, var_584_cast_fp16_1))[name = tensor<string, []>("op_629_cast_fp16")];
            tensor<fp16, []> var_630_to_fp16 = const()[name = tensor<string, []>("op_630_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_51_cast_fp16 = mul(x = var_629_cast_fp16, y = var_630_to_fp16)[name = tensor<string, []>("aw_51_cast_fp16")];
            tensor<string, []> var_633_equation_0 = const()[name = tensor<string, []>("op_633_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_633_cast_fp16 = einsum(equation = var_633_equation_0, values = (var_598_cast_fp16_2, var_584_cast_fp16_2))[name = tensor<string, []>("op_633_cast_fp16")];
            tensor<fp16, []> var_634_to_fp16 = const()[name = tensor<string, []>("op_634_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_53_cast_fp16 = mul(x = var_633_cast_fp16, y = var_634_to_fp16)[name = tensor<string, []>("aw_53_cast_fp16")];
            tensor<string, []> var_637_equation_0 = const()[name = tensor<string, []>("op_637_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_637_cast_fp16 = einsum(equation = var_637_equation_0, values = (var_598_cast_fp16_3, var_584_cast_fp16_3))[name = tensor<string, []>("op_637_cast_fp16")];
            tensor<fp16, []> var_638_to_fp16 = const()[name = tensor<string, []>("op_638_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_55_cast_fp16 = mul(x = var_637_cast_fp16, y = var_638_to_fp16)[name = tensor<string, []>("aw_55_cast_fp16")];
            tensor<string, []> var_641_equation_0 = const()[name = tensor<string, []>("op_641_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_641_cast_fp16 = einsum(equation = var_641_equation_0, values = (var_598_cast_fp16_4, var_584_cast_fp16_4))[name = tensor<string, []>("op_641_cast_fp16")];
            tensor<fp16, []> var_642_to_fp16 = const()[name = tensor<string, []>("op_642_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_57_cast_fp16 = mul(x = var_641_cast_fp16, y = var_642_to_fp16)[name = tensor<string, []>("aw_57_cast_fp16")];
            tensor<string, []> var_645_equation_0 = const()[name = tensor<string, []>("op_645_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_645_cast_fp16 = einsum(equation = var_645_equation_0, values = (var_598_cast_fp16_5, var_584_cast_fp16_5))[name = tensor<string, []>("op_645_cast_fp16")];
            tensor<fp16, []> var_646_to_fp16 = const()[name = tensor<string, []>("op_646_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_59_cast_fp16 = mul(x = var_645_cast_fp16, y = var_646_to_fp16)[name = tensor<string, []>("aw_59_cast_fp16")];
            tensor<string, []> var_649_equation_0 = const()[name = tensor<string, []>("op_649_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_649_cast_fp16 = einsum(equation = var_649_equation_0, values = (var_598_cast_fp16_6, var_584_cast_fp16_6))[name = tensor<string, []>("op_649_cast_fp16")];
            tensor<fp16, []> var_650_to_fp16 = const()[name = tensor<string, []>("op_650_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_61_cast_fp16 = mul(x = var_649_cast_fp16, y = var_650_to_fp16)[name = tensor<string, []>("aw_61_cast_fp16")];
            tensor<string, []> var_653_equation_0 = const()[name = tensor<string, []>("op_653_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_653_cast_fp16 = einsum(equation = var_653_equation_0, values = (var_598_cast_fp16_7, var_584_cast_fp16_7))[name = tensor<string, []>("op_653_cast_fp16")];
            tensor<fp16, []> var_654_to_fp16 = const()[name = tensor<string, []>("op_654_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_63_cast_fp16 = mul(x = var_653_cast_fp16, y = var_654_to_fp16)[name = tensor<string, []>("aw_63_cast_fp16")];
            tensor<string, []> var_657_equation_0 = const()[name = tensor<string, []>("op_657_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_657_cast_fp16 = einsum(equation = var_657_equation_0, values = (var_598_cast_fp16_8, var_584_cast_fp16_8))[name = tensor<string, []>("op_657_cast_fp16")];
            tensor<fp16, []> var_658_to_fp16 = const()[name = tensor<string, []>("op_658_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_65_cast_fp16 = mul(x = var_657_cast_fp16, y = var_658_to_fp16)[name = tensor<string, []>("aw_65_cast_fp16")];
            tensor<string, []> var_661_equation_0 = const()[name = tensor<string, []>("op_661_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_661_cast_fp16 = einsum(equation = var_661_equation_0, values = (var_598_cast_fp16_9, var_584_cast_fp16_9))[name = tensor<string, []>("op_661_cast_fp16")];
            tensor<fp16, []> var_662_to_fp16 = const()[name = tensor<string, []>("op_662_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_67_cast_fp16 = mul(x = var_661_cast_fp16, y = var_662_to_fp16)[name = tensor<string, []>("aw_67_cast_fp16")];
            tensor<string, []> var_665_equation_0 = const()[name = tensor<string, []>("op_665_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_665_cast_fp16 = einsum(equation = var_665_equation_0, values = (var_598_cast_fp16_10, var_584_cast_fp16_10))[name = tensor<string, []>("op_665_cast_fp16")];
            tensor<fp16, []> var_666_to_fp16 = const()[name = tensor<string, []>("op_666_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_69_cast_fp16 = mul(x = var_665_cast_fp16, y = var_666_to_fp16)[name = tensor<string, []>("aw_69_cast_fp16")];
            tensor<string, []> var_669_equation_0 = const()[name = tensor<string, []>("op_669_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_669_cast_fp16 = einsum(equation = var_669_equation_0, values = (var_598_cast_fp16_11, var_584_cast_fp16_11))[name = tensor<string, []>("op_669_cast_fp16")];
            tensor<fp16, []> var_670_to_fp16 = const()[name = tensor<string, []>("op_670_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_71_cast_fp16 = mul(x = var_669_cast_fp16, y = var_670_to_fp16)[name = tensor<string, []>("aw_71_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_672_cast_fp16 = softmax(axis = var_15, x = aw_49_cast_fp16)[name = tensor<string, []>("op_672_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_673_cast_fp16 = softmax(axis = var_15, x = aw_51_cast_fp16)[name = tensor<string, []>("op_673_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_674_cast_fp16 = softmax(axis = var_15, x = aw_53_cast_fp16)[name = tensor<string, []>("op_674_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_675_cast_fp16 = softmax(axis = var_15, x = aw_55_cast_fp16)[name = tensor<string, []>("op_675_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_676_cast_fp16 = softmax(axis = var_15, x = aw_57_cast_fp16)[name = tensor<string, []>("op_676_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_677_cast_fp16 = softmax(axis = var_15, x = aw_59_cast_fp16)[name = tensor<string, []>("op_677_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_678_cast_fp16 = softmax(axis = var_15, x = aw_61_cast_fp16)[name = tensor<string, []>("op_678_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_679_cast_fp16 = softmax(axis = var_15, x = aw_63_cast_fp16)[name = tensor<string, []>("op_679_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_680_cast_fp16 = softmax(axis = var_15, x = aw_65_cast_fp16)[name = tensor<string, []>("op_680_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_681_cast_fp16 = softmax(axis = var_15, x = aw_67_cast_fp16)[name = tensor<string, []>("op_681_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_682_cast_fp16 = softmax(axis = var_15, x = aw_69_cast_fp16)[name = tensor<string, []>("op_682_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_683_cast_fp16 = softmax(axis = var_15, x = aw_71_cast_fp16)[name = tensor<string, []>("op_683_cast_fp16")];
            tensor<string, []> var_685_equation_0 = const()[name = tensor<string, []>("op_685_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_685_cast_fp16 = einsum(equation = var_685_equation_0, values = (var_611_cast_fp16_0, var_672_cast_fp16))[name = tensor<string, []>("op_685_cast_fp16")];
            tensor<string, []> var_687_equation_0 = const()[name = tensor<string, []>("op_687_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_687_cast_fp16 = einsum(equation = var_687_equation_0, values = (var_611_cast_fp16_1, var_673_cast_fp16))[name = tensor<string, []>("op_687_cast_fp16")];
            tensor<string, []> var_689_equation_0 = const()[name = tensor<string, []>("op_689_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_689_cast_fp16 = einsum(equation = var_689_equation_0, values = (var_611_cast_fp16_2, var_674_cast_fp16))[name = tensor<string, []>("op_689_cast_fp16")];
            tensor<string, []> var_691_equation_0 = const()[name = tensor<string, []>("op_691_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_691_cast_fp16 = einsum(equation = var_691_equation_0, values = (var_611_cast_fp16_3, var_675_cast_fp16))[name = tensor<string, []>("op_691_cast_fp16")];
            tensor<string, []> var_693_equation_0 = const()[name = tensor<string, []>("op_693_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_693_cast_fp16 = einsum(equation = var_693_equation_0, values = (var_611_cast_fp16_4, var_676_cast_fp16))[name = tensor<string, []>("op_693_cast_fp16")];
            tensor<string, []> var_695_equation_0 = const()[name = tensor<string, []>("op_695_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_695_cast_fp16 = einsum(equation = var_695_equation_0, values = (var_611_cast_fp16_5, var_677_cast_fp16))[name = tensor<string, []>("op_695_cast_fp16")];
            tensor<string, []> var_697_equation_0 = const()[name = tensor<string, []>("op_697_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_697_cast_fp16 = einsum(equation = var_697_equation_0, values = (var_611_cast_fp16_6, var_678_cast_fp16))[name = tensor<string, []>("op_697_cast_fp16")];
            tensor<string, []> var_699_equation_0 = const()[name = tensor<string, []>("op_699_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_699_cast_fp16 = einsum(equation = var_699_equation_0, values = (var_611_cast_fp16_7, var_679_cast_fp16))[name = tensor<string, []>("op_699_cast_fp16")];
            tensor<string, []> var_701_equation_0 = const()[name = tensor<string, []>("op_701_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_701_cast_fp16 = einsum(equation = var_701_equation_0, values = (var_611_cast_fp16_8, var_680_cast_fp16))[name = tensor<string, []>("op_701_cast_fp16")];
            tensor<string, []> var_703_equation_0 = const()[name = tensor<string, []>("op_703_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_703_cast_fp16 = einsum(equation = var_703_equation_0, values = (var_611_cast_fp16_9, var_681_cast_fp16))[name = tensor<string, []>("op_703_cast_fp16")];
            tensor<string, []> var_705_equation_0 = const()[name = tensor<string, []>("op_705_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_705_cast_fp16 = einsum(equation = var_705_equation_0, values = (var_611_cast_fp16_10, var_682_cast_fp16))[name = tensor<string, []>("op_705_cast_fp16")];
            tensor<string, []> var_707_equation_0 = const()[name = tensor<string, []>("op_707_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_707_cast_fp16 = einsum(equation = var_707_equation_0, values = (var_611_cast_fp16_11, var_683_cast_fp16))[name = tensor<string, []>("op_707_cast_fp16")];
            tensor<bool, []> input_13_interleave_0 = const()[name = tensor<string, []>("input_13_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_13_cast_fp16 = concat(axis = var_15, interleave = input_13_interleave_0, values = (var_685_cast_fp16, var_687_cast_fp16, var_689_cast_fp16, var_691_cast_fp16, var_693_cast_fp16, var_695_cast_fp16, var_697_cast_fp16, var_699_cast_fp16, var_701_cast_fp16, var_703_cast_fp16, var_705_cast_fp16, var_707_cast_fp16))[name = tensor<string, []>("input_13_cast_fp16")];
            tensor<int32, [2]> var_712 = const()[name = tensor<string, []>("op_712"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_714 = const()[name = tensor<string, []>("op_714"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_716_pad_type_0 = const()[name = tensor<string, []>("op_716_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_716_pad_0 = const()[name = tensor<string, []>("op_716_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67390208)))];
            tensor<fp16, [1, 768, 1, 122]> var_716_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_out_proj_bias_to_fp16, dilations = var_714, groups = var_15, pad = var_716_pad_0, pad_type = var_716_pad_type_0, strides = var_712, weight = vision_model_transformer_resblocks_2_attn_out_proj_weight_cast_fp16, x = input_13_cast_fp16)[name = tensor<string, []>("op_716_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_15_cast_fp16 = add(x = inputs_13_cast_fp16, y = var_716_cast_fp16)[name = tensor<string, []>("inputs_15_cast_fp16")];
            tensor<int32, [1]> out_13_axes_0 = const()[name = tensor<string, []>("out_13_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_726_to_fp16 = const()[name = tensor<string, []>("op_726_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_13_cast_fp16 = layer_norm(axes = out_13_axes_0, epsilon = var_726_to_fp16, x = inputs_15_cast_fp16)[name = tensor<string, []>("out_13_cast_fp16")];
            tensor<fp16, [768]> input_15_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_15_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67391808)))];
            tensor<fp16, [768]> input_15_beta_0_to_fp16 = const()[name = tensor<string, []>("input_15_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67393408)))];
            tensor<fp16, []> input_15_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_15_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_15_cast_fp16 = batch_norm(beta = input_15_beta_0_to_fp16, epsilon = input_15_epsilon_0_to_fp16, gamma = input_15_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_13_cast_fp16)[name = tensor<string, []>("input_15_cast_fp16")];
            tensor<int32, [2]> var_740 = const()[name = tensor<string, []>("op_740"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_742 = const()[name = tensor<string, []>("op_742"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_15_pad_type_0 = const()[name = tensor<string, []>("x_15_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_15_pad_0 = const()[name = tensor<string, []>("x_15_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_2_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67395008)))];
            tensor<fp16, [1, 3072, 1, 122]> x_15_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_mlp_c_fc_bias_to_fp16, dilations = var_742, groups = var_15, pad = x_15_pad_0, pad_type = x_15_pad_type_0, strides = var_740, weight = vision_model_transformer_resblocks_2_mlp_c_fc_weight_cast_fp16, x = input_15_cast_fp16)[name = tensor<string, []>("x_15_cast_fp16")];
            tensor<fp16, []> var_745_to_fp16 = const()[name = tensor<string, []>("op_745_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_746_cast_fp16 = mul(x = x_15_cast_fp16, y = var_745_to_fp16)[name = tensor<string, []>("op_746_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_747_cast_fp16 = sigmoid(x = var_746_cast_fp16)[name = tensor<string, []>("op_747_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_17_cast_fp16 = mul(x = x_15_cast_fp16, y = var_747_cast_fp16)[name = tensor<string, []>("input_17_cast_fp16")];
            tensor<int32, [2]> var_751 = const()[name = tensor<string, []>("op_751"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_753 = const()[name = tensor<string, []>("op_753"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_755_pad_type_0 = const()[name = tensor<string, []>("op_755_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_755_pad_0 = const()[name = tensor<string, []>("op_755_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67401216)))];
            tensor<fp16, [1, 768, 1, 122]> var_755_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_mlp_c_proj_bias_to_fp16, dilations = var_753, groups = var_15, pad = var_755_pad_0, pad_type = var_755_pad_type_0, strides = var_751, weight = vision_model_transformer_resblocks_2_mlp_c_proj_weight_cast_fp16, x = input_17_cast_fp16)[name = tensor<string, []>("op_755_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_17_cast_fp16 = add(x = inputs_15_cast_fp16, y = var_755_cast_fp16)[name = tensor<string, []>("inputs_17_cast_fp16")];
            tensor<int32, [1]> out_15_axes_0 = const()[name = tensor<string, []>("out_15_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_769_to_fp16 = const()[name = tensor<string, []>("op_769_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_15_cast_fp16 = layer_norm(axes = out_15_axes_0, epsilon = var_769_to_fp16, x = inputs_17_cast_fp16)[name = tensor<string, []>("out_15_cast_fp16")];
            tensor<fp16, [768]> query_7_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_7_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67402816)))];
            tensor<fp16, [768]> query_7_beta_0_to_fp16 = const()[name = tensor<string, []>("query_7_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67404416)))];
            tensor<fp16, []> query_7_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_7_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_7_cast_fp16 = batch_norm(beta = query_7_beta_0_to_fp16, epsilon = query_7_epsilon_0_to_fp16, gamma = query_7_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_15_cast_fp16)[name = tensor<string, []>("query_7_cast_fp16")];
            tensor<int32, [2]> var_785 = const()[name = tensor<string, []>("op_785"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_787 = const()[name = tensor<string, []>("op_787"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_789_pad_type_0 = const()[name = tensor<string, []>("op_789_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_789_pad_0 = const()[name = tensor<string, []>("op_789_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67406016)))];
            tensor<fp16, [1, 768, 1, 122]> var_789_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_query_bias_to_fp16, dilations = var_787, groups = var_15, pad = var_789_pad_0, pad_type = var_789_pad_type_0, strides = var_785, weight = vision_model_transformer_resblocks_3_attn_query_weight_cast_fp16, x = query_7_cast_fp16)[name = tensor<string, []>("op_789_cast_fp16")];
            tensor<int32, [2]> var_792 = const()[name = tensor<string, []>("op_792"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_794 = const()[name = tensor<string, []>("op_794"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_7_pad_type_0 = const()[name = tensor<string, []>("k_7_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_7_pad_0 = const()[name = tensor<string, []>("k_7_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67407616)))];
            tensor<fp16, [1, 768, 1, 122]> k_7_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_key_bias_to_fp16, dilations = var_794, groups = var_15, pad = k_7_pad_0, pad_type = k_7_pad_type_0, strides = var_792, weight = vision_model_transformer_resblocks_3_attn_key_weight_cast_fp16, x = query_7_cast_fp16)[name = tensor<string, []>("k_7_cast_fp16")];
            tensor<int32, [2]> var_799 = const()[name = tensor<string, []>("op_799"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_801 = const()[name = tensor<string, []>("op_801"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_803_pad_type_0 = const()[name = tensor<string, []>("op_803_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_803_pad_0 = const()[name = tensor<string, []>("op_803_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67409216)))];
            tensor<fp16, [1, 768, 1, 122]> var_803_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_value_bias_to_fp16, dilations = var_801, groups = var_15, pad = var_803_pad_0, pad_type = var_803_pad_type_0, strides = var_799, weight = vision_model_transformer_resblocks_3_attn_value_weight_cast_fp16, x = query_7_cast_fp16)[name = tensor<string, []>("op_803_cast_fp16")];
            tensor<int32, [12]> tile_9 = const()[name = tensor<string, []>("tile_9"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_804_axis_0 = const()[name = tensor<string, []>("op_804_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_804_cast_fp16_11 = split(axis = var_804_axis_0, split_sizes = tile_9, x = var_789_cast_fp16)[name = tensor<string, []>("op_804_cast_fp16")];
            tensor<int32, [4]> var_817_perm_0 = const()[name = tensor<string, []>("op_817_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_10 = const()[name = tensor<string, []>("tile_10"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_818_axis_0 = const()[name = tensor<string, []>("op_818_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_10 = transpose(perm = var_817_perm_0, x = k_7_cast_fp16)[name = tensor<string, []>("transpose_10")];
            tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_818_cast_fp16_11 = split(axis = var_818_axis_0, split_sizes = tile_10, x = transpose_10)[name = tensor<string, []>("op_818_cast_fp16")];
            tensor<int32, [12]> tile_11 = const()[name = tensor<string, []>("tile_11"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_831_axis_0 = const()[name = tensor<string, []>("op_831_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_831_cast_fp16_11 = split(axis = var_831_axis_0, split_sizes = tile_11, x = var_803_cast_fp16)[name = tensor<string, []>("op_831_cast_fp16")];
            tensor<string, []> var_845_equation_0 = const()[name = tensor<string, []>("op_845_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_845_cast_fp16 = einsum(equation = var_845_equation_0, values = (var_818_cast_fp16_0, var_804_cast_fp16_0))[name = tensor<string, []>("op_845_cast_fp16")];
            tensor<fp16, []> var_846_to_fp16 = const()[name = tensor<string, []>("op_846_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_73_cast_fp16 = mul(x = var_845_cast_fp16, y = var_846_to_fp16)[name = tensor<string, []>("aw_73_cast_fp16")];
            tensor<string, []> var_849_equation_0 = const()[name = tensor<string, []>("op_849_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_849_cast_fp16 = einsum(equation = var_849_equation_0, values = (var_818_cast_fp16_1, var_804_cast_fp16_1))[name = tensor<string, []>("op_849_cast_fp16")];
            tensor<fp16, []> var_850_to_fp16 = const()[name = tensor<string, []>("op_850_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_75_cast_fp16 = mul(x = var_849_cast_fp16, y = var_850_to_fp16)[name = tensor<string, []>("aw_75_cast_fp16")];
            tensor<string, []> var_853_equation_0 = const()[name = tensor<string, []>("op_853_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_853_cast_fp16 = einsum(equation = var_853_equation_0, values = (var_818_cast_fp16_2, var_804_cast_fp16_2))[name = tensor<string, []>("op_853_cast_fp16")];
            tensor<fp16, []> var_854_to_fp16 = const()[name = tensor<string, []>("op_854_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_77_cast_fp16 = mul(x = var_853_cast_fp16, y = var_854_to_fp16)[name = tensor<string, []>("aw_77_cast_fp16")];
            tensor<string, []> var_857_equation_0 = const()[name = tensor<string, []>("op_857_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_857_cast_fp16 = einsum(equation = var_857_equation_0, values = (var_818_cast_fp16_3, var_804_cast_fp16_3))[name = tensor<string, []>("op_857_cast_fp16")];
            tensor<fp16, []> var_858_to_fp16 = const()[name = tensor<string, []>("op_858_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_79_cast_fp16 = mul(x = var_857_cast_fp16, y = var_858_to_fp16)[name = tensor<string, []>("aw_79_cast_fp16")];
            tensor<string, []> var_861_equation_0 = const()[name = tensor<string, []>("op_861_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_861_cast_fp16 = einsum(equation = var_861_equation_0, values = (var_818_cast_fp16_4, var_804_cast_fp16_4))[name = tensor<string, []>("op_861_cast_fp16")];
            tensor<fp16, []> var_862_to_fp16 = const()[name = tensor<string, []>("op_862_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_81_cast_fp16 = mul(x = var_861_cast_fp16, y = var_862_to_fp16)[name = tensor<string, []>("aw_81_cast_fp16")];
            tensor<string, []> var_865_equation_0 = const()[name = tensor<string, []>("op_865_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_865_cast_fp16 = einsum(equation = var_865_equation_0, values = (var_818_cast_fp16_5, var_804_cast_fp16_5))[name = tensor<string, []>("op_865_cast_fp16")];
            tensor<fp16, []> var_866_to_fp16 = const()[name = tensor<string, []>("op_866_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_83_cast_fp16 = mul(x = var_865_cast_fp16, y = var_866_to_fp16)[name = tensor<string, []>("aw_83_cast_fp16")];
            tensor<string, []> var_869_equation_0 = const()[name = tensor<string, []>("op_869_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_869_cast_fp16 = einsum(equation = var_869_equation_0, values = (var_818_cast_fp16_6, var_804_cast_fp16_6))[name = tensor<string, []>("op_869_cast_fp16")];
            tensor<fp16, []> var_870_to_fp16 = const()[name = tensor<string, []>("op_870_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_85_cast_fp16 = mul(x = var_869_cast_fp16, y = var_870_to_fp16)[name = tensor<string, []>("aw_85_cast_fp16")];
            tensor<string, []> var_873_equation_0 = const()[name = tensor<string, []>("op_873_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_873_cast_fp16 = einsum(equation = var_873_equation_0, values = (var_818_cast_fp16_7, var_804_cast_fp16_7))[name = tensor<string, []>("op_873_cast_fp16")];
            tensor<fp16, []> var_874_to_fp16 = const()[name = tensor<string, []>("op_874_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_87_cast_fp16 = mul(x = var_873_cast_fp16, y = var_874_to_fp16)[name = tensor<string, []>("aw_87_cast_fp16")];
            tensor<string, []> var_877_equation_0 = const()[name = tensor<string, []>("op_877_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_877_cast_fp16 = einsum(equation = var_877_equation_0, values = (var_818_cast_fp16_8, var_804_cast_fp16_8))[name = tensor<string, []>("op_877_cast_fp16")];
            tensor<fp16, []> var_878_to_fp16 = const()[name = tensor<string, []>("op_878_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_89_cast_fp16 = mul(x = var_877_cast_fp16, y = var_878_to_fp16)[name = tensor<string, []>("aw_89_cast_fp16")];
            tensor<string, []> var_881_equation_0 = const()[name = tensor<string, []>("op_881_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_881_cast_fp16 = einsum(equation = var_881_equation_0, values = (var_818_cast_fp16_9, var_804_cast_fp16_9))[name = tensor<string, []>("op_881_cast_fp16")];
            tensor<fp16, []> var_882_to_fp16 = const()[name = tensor<string, []>("op_882_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_91_cast_fp16 = mul(x = var_881_cast_fp16, y = var_882_to_fp16)[name = tensor<string, []>("aw_91_cast_fp16")];
            tensor<string, []> var_885_equation_0 = const()[name = tensor<string, []>("op_885_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_885_cast_fp16 = einsum(equation = var_885_equation_0, values = (var_818_cast_fp16_10, var_804_cast_fp16_10))[name = tensor<string, []>("op_885_cast_fp16")];
            tensor<fp16, []> var_886_to_fp16 = const()[name = tensor<string, []>("op_886_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_93_cast_fp16 = mul(x = var_885_cast_fp16, y = var_886_to_fp16)[name = tensor<string, []>("aw_93_cast_fp16")];
            tensor<string, []> var_889_equation_0 = const()[name = tensor<string, []>("op_889_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_889_cast_fp16 = einsum(equation = var_889_equation_0, values = (var_818_cast_fp16_11, var_804_cast_fp16_11))[name = tensor<string, []>("op_889_cast_fp16")];
            tensor<fp16, []> var_890_to_fp16 = const()[name = tensor<string, []>("op_890_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_95_cast_fp16 = mul(x = var_889_cast_fp16, y = var_890_to_fp16)[name = tensor<string, []>("aw_95_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_892_cast_fp16 = softmax(axis = var_15, x = aw_73_cast_fp16)[name = tensor<string, []>("op_892_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_893_cast_fp16 = softmax(axis = var_15, x = aw_75_cast_fp16)[name = tensor<string, []>("op_893_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_894_cast_fp16 = softmax(axis = var_15, x = aw_77_cast_fp16)[name = tensor<string, []>("op_894_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_895_cast_fp16 = softmax(axis = var_15, x = aw_79_cast_fp16)[name = tensor<string, []>("op_895_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_896_cast_fp16 = softmax(axis = var_15, x = aw_81_cast_fp16)[name = tensor<string, []>("op_896_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_897_cast_fp16 = softmax(axis = var_15, x = aw_83_cast_fp16)[name = tensor<string, []>("op_897_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_898_cast_fp16 = softmax(axis = var_15, x = aw_85_cast_fp16)[name = tensor<string, []>("op_898_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_899_cast_fp16 = softmax(axis = var_15, x = aw_87_cast_fp16)[name = tensor<string, []>("op_899_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_900_cast_fp16 = softmax(axis = var_15, x = aw_89_cast_fp16)[name = tensor<string, []>("op_900_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_901_cast_fp16 = softmax(axis = var_15, x = aw_91_cast_fp16)[name = tensor<string, []>("op_901_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_902_cast_fp16 = softmax(axis = var_15, x = aw_93_cast_fp16)[name = tensor<string, []>("op_902_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_903_cast_fp16 = softmax(axis = var_15, x = aw_95_cast_fp16)[name = tensor<string, []>("op_903_cast_fp16")];
            tensor<string, []> var_905_equation_0 = const()[name = tensor<string, []>("op_905_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_905_cast_fp16 = einsum(equation = var_905_equation_0, values = (var_831_cast_fp16_0, var_892_cast_fp16))[name = tensor<string, []>("op_905_cast_fp16")];
            tensor<string, []> var_907_equation_0 = const()[name = tensor<string, []>("op_907_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_907_cast_fp16 = einsum(equation = var_907_equation_0, values = (var_831_cast_fp16_1, var_893_cast_fp16))[name = tensor<string, []>("op_907_cast_fp16")];
            tensor<string, []> var_909_equation_0 = const()[name = tensor<string, []>("op_909_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_909_cast_fp16 = einsum(equation = var_909_equation_0, values = (var_831_cast_fp16_2, var_894_cast_fp16))[name = tensor<string, []>("op_909_cast_fp16")];
            tensor<string, []> var_911_equation_0 = const()[name = tensor<string, []>("op_911_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_911_cast_fp16 = einsum(equation = var_911_equation_0, values = (var_831_cast_fp16_3, var_895_cast_fp16))[name = tensor<string, []>("op_911_cast_fp16")];
            tensor<string, []> var_913_equation_0 = const()[name = tensor<string, []>("op_913_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_913_cast_fp16 = einsum(equation = var_913_equation_0, values = (var_831_cast_fp16_4, var_896_cast_fp16))[name = tensor<string, []>("op_913_cast_fp16")];
            tensor<string, []> var_915_equation_0 = const()[name = tensor<string, []>("op_915_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_915_cast_fp16 = einsum(equation = var_915_equation_0, values = (var_831_cast_fp16_5, var_897_cast_fp16))[name = tensor<string, []>("op_915_cast_fp16")];
            tensor<string, []> var_917_equation_0 = const()[name = tensor<string, []>("op_917_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_917_cast_fp16 = einsum(equation = var_917_equation_0, values = (var_831_cast_fp16_6, var_898_cast_fp16))[name = tensor<string, []>("op_917_cast_fp16")];
            tensor<string, []> var_919_equation_0 = const()[name = tensor<string, []>("op_919_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_919_cast_fp16 = einsum(equation = var_919_equation_0, values = (var_831_cast_fp16_7, var_899_cast_fp16))[name = tensor<string, []>("op_919_cast_fp16")];
            tensor<string, []> var_921_equation_0 = const()[name = tensor<string, []>("op_921_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_921_cast_fp16 = einsum(equation = var_921_equation_0, values = (var_831_cast_fp16_8, var_900_cast_fp16))[name = tensor<string, []>("op_921_cast_fp16")];
            tensor<string, []> var_923_equation_0 = const()[name = tensor<string, []>("op_923_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_923_cast_fp16 = einsum(equation = var_923_equation_0, values = (var_831_cast_fp16_9, var_901_cast_fp16))[name = tensor<string, []>("op_923_cast_fp16")];
            tensor<string, []> var_925_equation_0 = const()[name = tensor<string, []>("op_925_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_925_cast_fp16 = einsum(equation = var_925_equation_0, values = (var_831_cast_fp16_10, var_902_cast_fp16))[name = tensor<string, []>("op_925_cast_fp16")];
            tensor<string, []> var_927_equation_0 = const()[name = tensor<string, []>("op_927_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_927_cast_fp16 = einsum(equation = var_927_equation_0, values = (var_831_cast_fp16_11, var_903_cast_fp16))[name = tensor<string, []>("op_927_cast_fp16")];
            tensor<bool, []> input_19_interleave_0 = const()[name = tensor<string, []>("input_19_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_19_cast_fp16 = concat(axis = var_15, interleave = input_19_interleave_0, values = (var_905_cast_fp16, var_907_cast_fp16, var_909_cast_fp16, var_911_cast_fp16, var_913_cast_fp16, var_915_cast_fp16, var_917_cast_fp16, var_919_cast_fp16, var_921_cast_fp16, var_923_cast_fp16, var_925_cast_fp16, var_927_cast_fp16))[name = tensor<string, []>("input_19_cast_fp16")];
            tensor<int32, [2]> var_932 = const()[name = tensor<string, []>("op_932"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_934 = const()[name = tensor<string, []>("op_934"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_936_pad_type_0 = const()[name = tensor<string, []>("op_936_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_936_pad_0 = const()[name = tensor<string, []>("op_936_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67410816)))];
            tensor<fp16, [1, 768, 1, 122]> var_936_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_out_proj_bias_to_fp16, dilations = var_934, groups = var_15, pad = var_936_pad_0, pad_type = var_936_pad_type_0, strides = var_932, weight = vision_model_transformer_resblocks_3_attn_out_proj_weight_cast_fp16, x = input_19_cast_fp16)[name = tensor<string, []>("op_936_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_19_cast_fp16 = add(x = inputs_17_cast_fp16, y = var_936_cast_fp16)[name = tensor<string, []>("inputs_19_cast_fp16")];
            tensor<int32, [1]> out_17_axes_0 = const()[name = tensor<string, []>("out_17_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_946_to_fp16 = const()[name = tensor<string, []>("op_946_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_17_cast_fp16 = layer_norm(axes = out_17_axes_0, epsilon = var_946_to_fp16, x = inputs_19_cast_fp16)[name = tensor<string, []>("out_17_cast_fp16")];
            tensor<fp16, [768]> input_21_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_21_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67412416)))];
            tensor<fp16, [768]> input_21_beta_0_to_fp16 = const()[name = tensor<string, []>("input_21_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67414016)))];
            tensor<fp16, []> input_21_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_21_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_21_cast_fp16 = batch_norm(beta = input_21_beta_0_to_fp16, epsilon = input_21_epsilon_0_to_fp16, gamma = input_21_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_17_cast_fp16)[name = tensor<string, []>("input_21_cast_fp16")];
            tensor<int32, [2]> var_960 = const()[name = tensor<string, []>("op_960"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_962 = const()[name = tensor<string, []>("op_962"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_17_pad_type_0 = const()[name = tensor<string, []>("x_17_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_17_pad_0 = const()[name = tensor<string, []>("x_17_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_3_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67415616)))];
            tensor<fp16, [1, 3072, 1, 122]> x_17_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_mlp_c_fc_bias_to_fp16, dilations = var_962, groups = var_15, pad = x_17_pad_0, pad_type = x_17_pad_type_0, strides = var_960, weight = vision_model_transformer_resblocks_3_mlp_c_fc_weight_cast_fp16, x = input_21_cast_fp16)[name = tensor<string, []>("x_17_cast_fp16")];
            tensor<fp16, []> var_965_to_fp16 = const()[name = tensor<string, []>("op_965_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_966_cast_fp16 = mul(x = x_17_cast_fp16, y = var_965_to_fp16)[name = tensor<string, []>("op_966_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_967_cast_fp16 = sigmoid(x = var_966_cast_fp16)[name = tensor<string, []>("op_967_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_23_cast_fp16 = mul(x = x_17_cast_fp16, y = var_967_cast_fp16)[name = tensor<string, []>("input_23_cast_fp16")];
            tensor<int32, [2]> var_971 = const()[name = tensor<string, []>("op_971"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_973 = const()[name = tensor<string, []>("op_973"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_975_pad_type_0 = const()[name = tensor<string, []>("op_975_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_975_pad_0 = const()[name = tensor<string, []>("op_975_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67421824)))];
            tensor<fp16, [1, 768, 1, 122]> var_975_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_mlp_c_proj_bias_to_fp16, dilations = var_973, groups = var_15, pad = var_975_pad_0, pad_type = var_975_pad_type_0, strides = var_971, weight = vision_model_transformer_resblocks_3_mlp_c_proj_weight_cast_fp16, x = input_23_cast_fp16)[name = tensor<string, []>("op_975_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_21_cast_fp16 = add(x = inputs_19_cast_fp16, y = var_975_cast_fp16)[name = tensor<string, []>("inputs_21_cast_fp16")];
            tensor<int32, [1]> out_19_axes_0 = const()[name = tensor<string, []>("out_19_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_989_to_fp16 = const()[name = tensor<string, []>("op_989_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_19_cast_fp16 = layer_norm(axes = out_19_axes_0, epsilon = var_989_to_fp16, x = inputs_21_cast_fp16)[name = tensor<string, []>("out_19_cast_fp16")];
            tensor<fp16, [768]> query_9_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_9_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67423424)))];
            tensor<fp16, [768]> query_9_beta_0_to_fp16 = const()[name = tensor<string, []>("query_9_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67425024)))];
            tensor<fp16, []> query_9_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_9_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_9_cast_fp16 = batch_norm(beta = query_9_beta_0_to_fp16, epsilon = query_9_epsilon_0_to_fp16, gamma = query_9_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_19_cast_fp16)[name = tensor<string, []>("query_9_cast_fp16")];
            tensor<int32, [2]> var_1005 = const()[name = tensor<string, []>("op_1005"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1007 = const()[name = tensor<string, []>("op_1007"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1009_pad_type_0 = const()[name = tensor<string, []>("op_1009_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1009_pad_0 = const()[name = tensor<string, []>("op_1009_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67426624)))];
            tensor<fp16, [1, 768, 1, 122]> var_1009_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_query_bias_to_fp16, dilations = var_1007, groups = var_15, pad = var_1009_pad_0, pad_type = var_1009_pad_type_0, strides = var_1005, weight = vision_model_transformer_resblocks_4_attn_query_weight_cast_fp16, x = query_9_cast_fp16)[name = tensor<string, []>("op_1009_cast_fp16")];
            tensor<int32, [2]> var_1012 = const()[name = tensor<string, []>("op_1012"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1014 = const()[name = tensor<string, []>("op_1014"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_9_pad_type_0 = const()[name = tensor<string, []>("k_9_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_9_pad_0 = const()[name = tensor<string, []>("k_9_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67428224)))];
            tensor<fp16, [1, 768, 1, 122]> k_9_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_key_bias_to_fp16, dilations = var_1014, groups = var_15, pad = k_9_pad_0, pad_type = k_9_pad_type_0, strides = var_1012, weight = vision_model_transformer_resblocks_4_attn_key_weight_cast_fp16, x = query_9_cast_fp16)[name = tensor<string, []>("k_9_cast_fp16")];
            tensor<int32, [2]> var_1019 = const()[name = tensor<string, []>("op_1019"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1021 = const()[name = tensor<string, []>("op_1021"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1023_pad_type_0 = const()[name = tensor<string, []>("op_1023_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1023_pad_0 = const()[name = tensor<string, []>("op_1023_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67429824)))];
            tensor<fp16, [1, 768, 1, 122]> var_1023_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_value_bias_to_fp16, dilations = var_1021, groups = var_15, pad = var_1023_pad_0, pad_type = var_1023_pad_type_0, strides = var_1019, weight = vision_model_transformer_resblocks_4_attn_value_weight_cast_fp16, x = query_9_cast_fp16)[name = tensor<string, []>("op_1023_cast_fp16")];
            tensor<int32, [12]> tile_12 = const()[name = tensor<string, []>("tile_12"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1024_axis_0 = const()[name = tensor<string, []>("op_1024_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1024_cast_fp16_11 = split(axis = var_1024_axis_0, split_sizes = tile_12, x = var_1009_cast_fp16)[name = tensor<string, []>("op_1024_cast_fp16")];
            tensor<int32, [4]> var_1037_perm_0 = const()[name = tensor<string, []>("op_1037_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_13 = const()[name = tensor<string, []>("tile_13"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1038_axis_0 = const()[name = tensor<string, []>("op_1038_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_9 = transpose(perm = var_1037_perm_0, x = k_9_cast_fp16)[name = tensor<string, []>("transpose_9")];
            tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_1038_cast_fp16_11 = split(axis = var_1038_axis_0, split_sizes = tile_13, x = transpose_9)[name = tensor<string, []>("op_1038_cast_fp16")];
            tensor<int32, [12]> tile_14 = const()[name = tensor<string, []>("tile_14"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1051_axis_0 = const()[name = tensor<string, []>("op_1051_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1051_cast_fp16_11 = split(axis = var_1051_axis_0, split_sizes = tile_14, x = var_1023_cast_fp16)[name = tensor<string, []>("op_1051_cast_fp16")];
            tensor<string, []> var_1065_equation_0 = const()[name = tensor<string, []>("op_1065_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1065_cast_fp16 = einsum(equation = var_1065_equation_0, values = (var_1038_cast_fp16_0, var_1024_cast_fp16_0))[name = tensor<string, []>("op_1065_cast_fp16")];
            tensor<fp16, []> var_1066_to_fp16 = const()[name = tensor<string, []>("op_1066_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_97_cast_fp16 = mul(x = var_1065_cast_fp16, y = var_1066_to_fp16)[name = tensor<string, []>("aw_97_cast_fp16")];
            tensor<string, []> var_1069_equation_0 = const()[name = tensor<string, []>("op_1069_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1069_cast_fp16 = einsum(equation = var_1069_equation_0, values = (var_1038_cast_fp16_1, var_1024_cast_fp16_1))[name = tensor<string, []>("op_1069_cast_fp16")];
            tensor<fp16, []> var_1070_to_fp16 = const()[name = tensor<string, []>("op_1070_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_99_cast_fp16 = mul(x = var_1069_cast_fp16, y = var_1070_to_fp16)[name = tensor<string, []>("aw_99_cast_fp16")];
            tensor<string, []> var_1073_equation_0 = const()[name = tensor<string, []>("op_1073_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1073_cast_fp16 = einsum(equation = var_1073_equation_0, values = (var_1038_cast_fp16_2, var_1024_cast_fp16_2))[name = tensor<string, []>("op_1073_cast_fp16")];
            tensor<fp16, []> var_1074_to_fp16 = const()[name = tensor<string, []>("op_1074_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_101_cast_fp16 = mul(x = var_1073_cast_fp16, y = var_1074_to_fp16)[name = tensor<string, []>("aw_101_cast_fp16")];
            tensor<string, []> var_1077_equation_0 = const()[name = tensor<string, []>("op_1077_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1077_cast_fp16 = einsum(equation = var_1077_equation_0, values = (var_1038_cast_fp16_3, var_1024_cast_fp16_3))[name = tensor<string, []>("op_1077_cast_fp16")];
            tensor<fp16, []> var_1078_to_fp16 = const()[name = tensor<string, []>("op_1078_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_103_cast_fp16 = mul(x = var_1077_cast_fp16, y = var_1078_to_fp16)[name = tensor<string, []>("aw_103_cast_fp16")];
            tensor<string, []> var_1081_equation_0 = const()[name = tensor<string, []>("op_1081_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1081_cast_fp16 = einsum(equation = var_1081_equation_0, values = (var_1038_cast_fp16_4, var_1024_cast_fp16_4))[name = tensor<string, []>("op_1081_cast_fp16")];
            tensor<fp16, []> var_1082_to_fp16 = const()[name = tensor<string, []>("op_1082_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_105_cast_fp16 = mul(x = var_1081_cast_fp16, y = var_1082_to_fp16)[name = tensor<string, []>("aw_105_cast_fp16")];
            tensor<string, []> var_1085_equation_0 = const()[name = tensor<string, []>("op_1085_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1085_cast_fp16 = einsum(equation = var_1085_equation_0, values = (var_1038_cast_fp16_5, var_1024_cast_fp16_5))[name = tensor<string, []>("op_1085_cast_fp16")];
            tensor<fp16, []> var_1086_to_fp16 = const()[name = tensor<string, []>("op_1086_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_107_cast_fp16 = mul(x = var_1085_cast_fp16, y = var_1086_to_fp16)[name = tensor<string, []>("aw_107_cast_fp16")];
            tensor<string, []> var_1089_equation_0 = const()[name = tensor<string, []>("op_1089_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1089_cast_fp16 = einsum(equation = var_1089_equation_0, values = (var_1038_cast_fp16_6, var_1024_cast_fp16_6))[name = tensor<string, []>("op_1089_cast_fp16")];
            tensor<fp16, []> var_1090_to_fp16 = const()[name = tensor<string, []>("op_1090_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_109_cast_fp16 = mul(x = var_1089_cast_fp16, y = var_1090_to_fp16)[name = tensor<string, []>("aw_109_cast_fp16")];
            tensor<string, []> var_1093_equation_0 = const()[name = tensor<string, []>("op_1093_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1093_cast_fp16 = einsum(equation = var_1093_equation_0, values = (var_1038_cast_fp16_7, var_1024_cast_fp16_7))[name = tensor<string, []>("op_1093_cast_fp16")];
            tensor<fp16, []> var_1094_to_fp16 = const()[name = tensor<string, []>("op_1094_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_111_cast_fp16 = mul(x = var_1093_cast_fp16, y = var_1094_to_fp16)[name = tensor<string, []>("aw_111_cast_fp16")];
            tensor<string, []> var_1097_equation_0 = const()[name = tensor<string, []>("op_1097_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1097_cast_fp16 = einsum(equation = var_1097_equation_0, values = (var_1038_cast_fp16_8, var_1024_cast_fp16_8))[name = tensor<string, []>("op_1097_cast_fp16")];
            tensor<fp16, []> var_1098_to_fp16 = const()[name = tensor<string, []>("op_1098_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_113_cast_fp16 = mul(x = var_1097_cast_fp16, y = var_1098_to_fp16)[name = tensor<string, []>("aw_113_cast_fp16")];
            tensor<string, []> var_1101_equation_0 = const()[name = tensor<string, []>("op_1101_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1101_cast_fp16 = einsum(equation = var_1101_equation_0, values = (var_1038_cast_fp16_9, var_1024_cast_fp16_9))[name = tensor<string, []>("op_1101_cast_fp16")];
            tensor<fp16, []> var_1102_to_fp16 = const()[name = tensor<string, []>("op_1102_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_115_cast_fp16 = mul(x = var_1101_cast_fp16, y = var_1102_to_fp16)[name = tensor<string, []>("aw_115_cast_fp16")];
            tensor<string, []> var_1105_equation_0 = const()[name = tensor<string, []>("op_1105_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1105_cast_fp16 = einsum(equation = var_1105_equation_0, values = (var_1038_cast_fp16_10, var_1024_cast_fp16_10))[name = tensor<string, []>("op_1105_cast_fp16")];
            tensor<fp16, []> var_1106_to_fp16 = const()[name = tensor<string, []>("op_1106_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_117_cast_fp16 = mul(x = var_1105_cast_fp16, y = var_1106_to_fp16)[name = tensor<string, []>("aw_117_cast_fp16")];
            tensor<string, []> var_1109_equation_0 = const()[name = tensor<string, []>("op_1109_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1109_cast_fp16 = einsum(equation = var_1109_equation_0, values = (var_1038_cast_fp16_11, var_1024_cast_fp16_11))[name = tensor<string, []>("op_1109_cast_fp16")];
            tensor<fp16, []> var_1110_to_fp16 = const()[name = tensor<string, []>("op_1110_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_119_cast_fp16 = mul(x = var_1109_cast_fp16, y = var_1110_to_fp16)[name = tensor<string, []>("aw_119_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1112_cast_fp16 = softmax(axis = var_15, x = aw_97_cast_fp16)[name = tensor<string, []>("op_1112_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1113_cast_fp16 = softmax(axis = var_15, x = aw_99_cast_fp16)[name = tensor<string, []>("op_1113_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1114_cast_fp16 = softmax(axis = var_15, x = aw_101_cast_fp16)[name = tensor<string, []>("op_1114_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1115_cast_fp16 = softmax(axis = var_15, x = aw_103_cast_fp16)[name = tensor<string, []>("op_1115_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1116_cast_fp16 = softmax(axis = var_15, x = aw_105_cast_fp16)[name = tensor<string, []>("op_1116_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1117_cast_fp16 = softmax(axis = var_15, x = aw_107_cast_fp16)[name = tensor<string, []>("op_1117_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1118_cast_fp16 = softmax(axis = var_15, x = aw_109_cast_fp16)[name = tensor<string, []>("op_1118_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1119_cast_fp16 = softmax(axis = var_15, x = aw_111_cast_fp16)[name = tensor<string, []>("op_1119_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1120_cast_fp16 = softmax(axis = var_15, x = aw_113_cast_fp16)[name = tensor<string, []>("op_1120_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1121_cast_fp16 = softmax(axis = var_15, x = aw_115_cast_fp16)[name = tensor<string, []>("op_1121_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1122_cast_fp16 = softmax(axis = var_15, x = aw_117_cast_fp16)[name = tensor<string, []>("op_1122_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1123_cast_fp16 = softmax(axis = var_15, x = aw_119_cast_fp16)[name = tensor<string, []>("op_1123_cast_fp16")];
            tensor<string, []> var_1125_equation_0 = const()[name = tensor<string, []>("op_1125_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1125_cast_fp16 = einsum(equation = var_1125_equation_0, values = (var_1051_cast_fp16_0, var_1112_cast_fp16))[name = tensor<string, []>("op_1125_cast_fp16")];
            tensor<string, []> var_1127_equation_0 = const()[name = tensor<string, []>("op_1127_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1127_cast_fp16 = einsum(equation = var_1127_equation_0, values = (var_1051_cast_fp16_1, var_1113_cast_fp16))[name = tensor<string, []>("op_1127_cast_fp16")];
            tensor<string, []> var_1129_equation_0 = const()[name = tensor<string, []>("op_1129_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1129_cast_fp16 = einsum(equation = var_1129_equation_0, values = (var_1051_cast_fp16_2, var_1114_cast_fp16))[name = tensor<string, []>("op_1129_cast_fp16")];
            tensor<string, []> var_1131_equation_0 = const()[name = tensor<string, []>("op_1131_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1131_cast_fp16 = einsum(equation = var_1131_equation_0, values = (var_1051_cast_fp16_3, var_1115_cast_fp16))[name = tensor<string, []>("op_1131_cast_fp16")];
            tensor<string, []> var_1133_equation_0 = const()[name = tensor<string, []>("op_1133_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1133_cast_fp16 = einsum(equation = var_1133_equation_0, values = (var_1051_cast_fp16_4, var_1116_cast_fp16))[name = tensor<string, []>("op_1133_cast_fp16")];
            tensor<string, []> var_1135_equation_0 = const()[name = tensor<string, []>("op_1135_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1135_cast_fp16 = einsum(equation = var_1135_equation_0, values = (var_1051_cast_fp16_5, var_1117_cast_fp16))[name = tensor<string, []>("op_1135_cast_fp16")];
            tensor<string, []> var_1137_equation_0 = const()[name = tensor<string, []>("op_1137_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1137_cast_fp16 = einsum(equation = var_1137_equation_0, values = (var_1051_cast_fp16_6, var_1118_cast_fp16))[name = tensor<string, []>("op_1137_cast_fp16")];
            tensor<string, []> var_1139_equation_0 = const()[name = tensor<string, []>("op_1139_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1139_cast_fp16 = einsum(equation = var_1139_equation_0, values = (var_1051_cast_fp16_7, var_1119_cast_fp16))[name = tensor<string, []>("op_1139_cast_fp16")];
            tensor<string, []> var_1141_equation_0 = const()[name = tensor<string, []>("op_1141_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1141_cast_fp16 = einsum(equation = var_1141_equation_0, values = (var_1051_cast_fp16_8, var_1120_cast_fp16))[name = tensor<string, []>("op_1141_cast_fp16")];
            tensor<string, []> var_1143_equation_0 = const()[name = tensor<string, []>("op_1143_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1143_cast_fp16 = einsum(equation = var_1143_equation_0, values = (var_1051_cast_fp16_9, var_1121_cast_fp16))[name = tensor<string, []>("op_1143_cast_fp16")];
            tensor<string, []> var_1145_equation_0 = const()[name = tensor<string, []>("op_1145_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1145_cast_fp16 = einsum(equation = var_1145_equation_0, values = (var_1051_cast_fp16_10, var_1122_cast_fp16))[name = tensor<string, []>("op_1145_cast_fp16")];
            tensor<string, []> var_1147_equation_0 = const()[name = tensor<string, []>("op_1147_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1147_cast_fp16 = einsum(equation = var_1147_equation_0, values = (var_1051_cast_fp16_11, var_1123_cast_fp16))[name = tensor<string, []>("op_1147_cast_fp16")];
            tensor<bool, []> input_25_interleave_0 = const()[name = tensor<string, []>("input_25_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_25_cast_fp16 = concat(axis = var_15, interleave = input_25_interleave_0, values = (var_1125_cast_fp16, var_1127_cast_fp16, var_1129_cast_fp16, var_1131_cast_fp16, var_1133_cast_fp16, var_1135_cast_fp16, var_1137_cast_fp16, var_1139_cast_fp16, var_1141_cast_fp16, var_1143_cast_fp16, var_1145_cast_fp16, var_1147_cast_fp16))[name = tensor<string, []>("input_25_cast_fp16")];
            tensor<int32, [2]> var_1152 = const()[name = tensor<string, []>("op_1152"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1154 = const()[name = tensor<string, []>("op_1154"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1156_pad_type_0 = const()[name = tensor<string, []>("op_1156_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1156_pad_0 = const()[name = tensor<string, []>("op_1156_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67431424)))];
            tensor<fp16, [1, 768, 1, 122]> var_1156_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_out_proj_bias_to_fp16, dilations = var_1154, groups = var_15, pad = var_1156_pad_0, pad_type = var_1156_pad_type_0, strides = var_1152, weight = vision_model_transformer_resblocks_4_attn_out_proj_weight_cast_fp16, x = input_25_cast_fp16)[name = tensor<string, []>("op_1156_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_23_cast_fp16 = add(x = inputs_21_cast_fp16, y = var_1156_cast_fp16)[name = tensor<string, []>("inputs_23_cast_fp16")];
            tensor<int32, [1]> out_21_axes_0 = const()[name = tensor<string, []>("out_21_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1166_to_fp16 = const()[name = tensor<string, []>("op_1166_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_21_cast_fp16 = layer_norm(axes = out_21_axes_0, epsilon = var_1166_to_fp16, x = inputs_23_cast_fp16)[name = tensor<string, []>("out_21_cast_fp16")];
            tensor<fp16, [768]> input_27_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_27_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67433024)))];
            tensor<fp16, [768]> input_27_beta_0_to_fp16 = const()[name = tensor<string, []>("input_27_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67434624)))];
            tensor<fp16, []> input_27_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_27_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_27_cast_fp16 = batch_norm(beta = input_27_beta_0_to_fp16, epsilon = input_27_epsilon_0_to_fp16, gamma = input_27_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_21_cast_fp16)[name = tensor<string, []>("input_27_cast_fp16")];
            tensor<int32, [2]> var_1180 = const()[name = tensor<string, []>("op_1180"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1182 = const()[name = tensor<string, []>("op_1182"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_19_pad_type_0 = const()[name = tensor<string, []>("x_19_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_19_pad_0 = const()[name = tensor<string, []>("x_19_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_4_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67436224)))];
            tensor<fp16, [1, 3072, 1, 122]> x_19_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_mlp_c_fc_bias_to_fp16, dilations = var_1182, groups = var_15, pad = x_19_pad_0, pad_type = x_19_pad_type_0, strides = var_1180, weight = vision_model_transformer_resblocks_4_mlp_c_fc_weight_cast_fp16, x = input_27_cast_fp16)[name = tensor<string, []>("x_19_cast_fp16")];
            tensor<fp16, []> var_1185_to_fp16 = const()[name = tensor<string, []>("op_1185_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_1186_cast_fp16 = mul(x = x_19_cast_fp16, y = var_1185_to_fp16)[name = tensor<string, []>("op_1186_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_1187_cast_fp16 = sigmoid(x = var_1186_cast_fp16)[name = tensor<string, []>("op_1187_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_29_cast_fp16 = mul(x = x_19_cast_fp16, y = var_1187_cast_fp16)[name = tensor<string, []>("input_29_cast_fp16")];
            tensor<int32, [2]> var_1191 = const()[name = tensor<string, []>("op_1191"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1193 = const()[name = tensor<string, []>("op_1193"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1195_pad_type_0 = const()[name = tensor<string, []>("op_1195_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1195_pad_0 = const()[name = tensor<string, []>("op_1195_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67442432)))];
            tensor<fp16, [1, 768, 1, 122]> var_1195_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_mlp_c_proj_bias_to_fp16, dilations = var_1193, groups = var_15, pad = var_1195_pad_0, pad_type = var_1195_pad_type_0, strides = var_1191, weight = vision_model_transformer_resblocks_4_mlp_c_proj_weight_cast_fp16, x = input_29_cast_fp16)[name = tensor<string, []>("op_1195_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_25_cast_fp16 = add(x = inputs_23_cast_fp16, y = var_1195_cast_fp16)[name = tensor<string, []>("inputs_25_cast_fp16")];
            tensor<int32, [1]> out_23_axes_0 = const()[name = tensor<string, []>("out_23_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1209_to_fp16 = const()[name = tensor<string, []>("op_1209_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_23_cast_fp16 = layer_norm(axes = out_23_axes_0, epsilon = var_1209_to_fp16, x = inputs_25_cast_fp16)[name = tensor<string, []>("out_23_cast_fp16")];
            tensor<fp16, [768]> query_11_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_11_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67444032)))];
            tensor<fp16, [768]> query_11_beta_0_to_fp16 = const()[name = tensor<string, []>("query_11_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67445632)))];
            tensor<fp16, []> query_11_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_11_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_11_cast_fp16 = batch_norm(beta = query_11_beta_0_to_fp16, epsilon = query_11_epsilon_0_to_fp16, gamma = query_11_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_23_cast_fp16)[name = tensor<string, []>("query_11_cast_fp16")];
            tensor<int32, [2]> var_1225 = const()[name = tensor<string, []>("op_1225"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1227 = const()[name = tensor<string, []>("op_1227"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1229_pad_type_0 = const()[name = tensor<string, []>("op_1229_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1229_pad_0 = const()[name = tensor<string, []>("op_1229_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67447232)))];
            tensor<fp16, [1, 768, 1, 122]> var_1229_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_query_bias_to_fp16, dilations = var_1227, groups = var_15, pad = var_1229_pad_0, pad_type = var_1229_pad_type_0, strides = var_1225, weight = vision_model_transformer_resblocks_5_attn_query_weight_cast_fp16, x = query_11_cast_fp16)[name = tensor<string, []>("op_1229_cast_fp16")];
            tensor<int32, [2]> var_1232 = const()[name = tensor<string, []>("op_1232"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1234 = const()[name = tensor<string, []>("op_1234"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_11_pad_type_0 = const()[name = tensor<string, []>("k_11_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_11_pad_0 = const()[name = tensor<string, []>("k_11_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67448832)))];
            tensor<fp16, [1, 768, 1, 122]> k_11_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_key_bias_to_fp16, dilations = var_1234, groups = var_15, pad = k_11_pad_0, pad_type = k_11_pad_type_0, strides = var_1232, weight = vision_model_transformer_resblocks_5_attn_key_weight_cast_fp16, x = query_11_cast_fp16)[name = tensor<string, []>("k_11_cast_fp16")];
            tensor<int32, [2]> var_1239 = const()[name = tensor<string, []>("op_1239"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1241 = const()[name = tensor<string, []>("op_1241"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1243_pad_type_0 = const()[name = tensor<string, []>("op_1243_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1243_pad_0 = const()[name = tensor<string, []>("op_1243_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67450432)))];
            tensor<fp16, [1, 768, 1, 122]> var_1243_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_value_bias_to_fp16, dilations = var_1241, groups = var_15, pad = var_1243_pad_0, pad_type = var_1243_pad_type_0, strides = var_1239, weight = vision_model_transformer_resblocks_5_attn_value_weight_cast_fp16, x = query_11_cast_fp16)[name = tensor<string, []>("op_1243_cast_fp16")];
            tensor<int32, [12]> tile_15 = const()[name = tensor<string, []>("tile_15"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1244_axis_0 = const()[name = tensor<string, []>("op_1244_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1244_cast_fp16_11 = split(axis = var_1244_axis_0, split_sizes = tile_15, x = var_1229_cast_fp16)[name = tensor<string, []>("op_1244_cast_fp16")];
            tensor<int32, [4]> var_1257_perm_0 = const()[name = tensor<string, []>("op_1257_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_16 = const()[name = tensor<string, []>("tile_16"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1258_axis_0 = const()[name = tensor<string, []>("op_1258_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_8 = transpose(perm = var_1257_perm_0, x = k_11_cast_fp16)[name = tensor<string, []>("transpose_8")];
            tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_1258_cast_fp16_11 = split(axis = var_1258_axis_0, split_sizes = tile_16, x = transpose_8)[name = tensor<string, []>("op_1258_cast_fp16")];
            tensor<int32, [12]> tile_17 = const()[name = tensor<string, []>("tile_17"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1271_axis_0 = const()[name = tensor<string, []>("op_1271_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1271_cast_fp16_11 = split(axis = var_1271_axis_0, split_sizes = tile_17, x = var_1243_cast_fp16)[name = tensor<string, []>("op_1271_cast_fp16")];
            tensor<string, []> var_1285_equation_0 = const()[name = tensor<string, []>("op_1285_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1285_cast_fp16 = einsum(equation = var_1285_equation_0, values = (var_1258_cast_fp16_0, var_1244_cast_fp16_0))[name = tensor<string, []>("op_1285_cast_fp16")];
            tensor<fp16, []> var_1286_to_fp16 = const()[name = tensor<string, []>("op_1286_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_121_cast_fp16 = mul(x = var_1285_cast_fp16, y = var_1286_to_fp16)[name = tensor<string, []>("aw_121_cast_fp16")];
            tensor<string, []> var_1289_equation_0 = const()[name = tensor<string, []>("op_1289_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1289_cast_fp16 = einsum(equation = var_1289_equation_0, values = (var_1258_cast_fp16_1, var_1244_cast_fp16_1))[name = tensor<string, []>("op_1289_cast_fp16")];
            tensor<fp16, []> var_1290_to_fp16 = const()[name = tensor<string, []>("op_1290_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_123_cast_fp16 = mul(x = var_1289_cast_fp16, y = var_1290_to_fp16)[name = tensor<string, []>("aw_123_cast_fp16")];
            tensor<string, []> var_1293_equation_0 = const()[name = tensor<string, []>("op_1293_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1293_cast_fp16 = einsum(equation = var_1293_equation_0, values = (var_1258_cast_fp16_2, var_1244_cast_fp16_2))[name = tensor<string, []>("op_1293_cast_fp16")];
            tensor<fp16, []> var_1294_to_fp16 = const()[name = tensor<string, []>("op_1294_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_125_cast_fp16 = mul(x = var_1293_cast_fp16, y = var_1294_to_fp16)[name = tensor<string, []>("aw_125_cast_fp16")];
            tensor<string, []> var_1297_equation_0 = const()[name = tensor<string, []>("op_1297_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1297_cast_fp16 = einsum(equation = var_1297_equation_0, values = (var_1258_cast_fp16_3, var_1244_cast_fp16_3))[name = tensor<string, []>("op_1297_cast_fp16")];
            tensor<fp16, []> var_1298_to_fp16 = const()[name = tensor<string, []>("op_1298_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_127_cast_fp16 = mul(x = var_1297_cast_fp16, y = var_1298_to_fp16)[name = tensor<string, []>("aw_127_cast_fp16")];
            tensor<string, []> var_1301_equation_0 = const()[name = tensor<string, []>("op_1301_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1301_cast_fp16 = einsum(equation = var_1301_equation_0, values = (var_1258_cast_fp16_4, var_1244_cast_fp16_4))[name = tensor<string, []>("op_1301_cast_fp16")];
            tensor<fp16, []> var_1302_to_fp16 = const()[name = tensor<string, []>("op_1302_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_129_cast_fp16 = mul(x = var_1301_cast_fp16, y = var_1302_to_fp16)[name = tensor<string, []>("aw_129_cast_fp16")];
            tensor<string, []> var_1305_equation_0 = const()[name = tensor<string, []>("op_1305_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1305_cast_fp16 = einsum(equation = var_1305_equation_0, values = (var_1258_cast_fp16_5, var_1244_cast_fp16_5))[name = tensor<string, []>("op_1305_cast_fp16")];
            tensor<fp16, []> var_1306_to_fp16 = const()[name = tensor<string, []>("op_1306_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_131_cast_fp16 = mul(x = var_1305_cast_fp16, y = var_1306_to_fp16)[name = tensor<string, []>("aw_131_cast_fp16")];
            tensor<string, []> var_1309_equation_0 = const()[name = tensor<string, []>("op_1309_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1309_cast_fp16 = einsum(equation = var_1309_equation_0, values = (var_1258_cast_fp16_6, var_1244_cast_fp16_6))[name = tensor<string, []>("op_1309_cast_fp16")];
            tensor<fp16, []> var_1310_to_fp16 = const()[name = tensor<string, []>("op_1310_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_133_cast_fp16 = mul(x = var_1309_cast_fp16, y = var_1310_to_fp16)[name = tensor<string, []>("aw_133_cast_fp16")];
            tensor<string, []> var_1313_equation_0 = const()[name = tensor<string, []>("op_1313_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1313_cast_fp16 = einsum(equation = var_1313_equation_0, values = (var_1258_cast_fp16_7, var_1244_cast_fp16_7))[name = tensor<string, []>("op_1313_cast_fp16")];
            tensor<fp16, []> var_1314_to_fp16 = const()[name = tensor<string, []>("op_1314_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_135_cast_fp16 = mul(x = var_1313_cast_fp16, y = var_1314_to_fp16)[name = tensor<string, []>("aw_135_cast_fp16")];
            tensor<string, []> var_1317_equation_0 = const()[name = tensor<string, []>("op_1317_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1317_cast_fp16 = einsum(equation = var_1317_equation_0, values = (var_1258_cast_fp16_8, var_1244_cast_fp16_8))[name = tensor<string, []>("op_1317_cast_fp16")];
            tensor<fp16, []> var_1318_to_fp16 = const()[name = tensor<string, []>("op_1318_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_137_cast_fp16 = mul(x = var_1317_cast_fp16, y = var_1318_to_fp16)[name = tensor<string, []>("aw_137_cast_fp16")];
            tensor<string, []> var_1321_equation_0 = const()[name = tensor<string, []>("op_1321_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1321_cast_fp16 = einsum(equation = var_1321_equation_0, values = (var_1258_cast_fp16_9, var_1244_cast_fp16_9))[name = tensor<string, []>("op_1321_cast_fp16")];
            tensor<fp16, []> var_1322_to_fp16 = const()[name = tensor<string, []>("op_1322_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_139_cast_fp16 = mul(x = var_1321_cast_fp16, y = var_1322_to_fp16)[name = tensor<string, []>("aw_139_cast_fp16")];
            tensor<string, []> var_1325_equation_0 = const()[name = tensor<string, []>("op_1325_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1325_cast_fp16 = einsum(equation = var_1325_equation_0, values = (var_1258_cast_fp16_10, var_1244_cast_fp16_10))[name = tensor<string, []>("op_1325_cast_fp16")];
            tensor<fp16, []> var_1326_to_fp16 = const()[name = tensor<string, []>("op_1326_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_141_cast_fp16 = mul(x = var_1325_cast_fp16, y = var_1326_to_fp16)[name = tensor<string, []>("aw_141_cast_fp16")];
            tensor<string, []> var_1329_equation_0 = const()[name = tensor<string, []>("op_1329_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1329_cast_fp16 = einsum(equation = var_1329_equation_0, values = (var_1258_cast_fp16_11, var_1244_cast_fp16_11))[name = tensor<string, []>("op_1329_cast_fp16")];
            tensor<fp16, []> var_1330_to_fp16 = const()[name = tensor<string, []>("op_1330_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_143_cast_fp16 = mul(x = var_1329_cast_fp16, y = var_1330_to_fp16)[name = tensor<string, []>("aw_143_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1332_cast_fp16 = softmax(axis = var_15, x = aw_121_cast_fp16)[name = tensor<string, []>("op_1332_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1333_cast_fp16 = softmax(axis = var_15, x = aw_123_cast_fp16)[name = tensor<string, []>("op_1333_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1334_cast_fp16 = softmax(axis = var_15, x = aw_125_cast_fp16)[name = tensor<string, []>("op_1334_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1335_cast_fp16 = softmax(axis = var_15, x = aw_127_cast_fp16)[name = tensor<string, []>("op_1335_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1336_cast_fp16 = softmax(axis = var_15, x = aw_129_cast_fp16)[name = tensor<string, []>("op_1336_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1337_cast_fp16 = softmax(axis = var_15, x = aw_131_cast_fp16)[name = tensor<string, []>("op_1337_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1338_cast_fp16 = softmax(axis = var_15, x = aw_133_cast_fp16)[name = tensor<string, []>("op_1338_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1339_cast_fp16 = softmax(axis = var_15, x = aw_135_cast_fp16)[name = tensor<string, []>("op_1339_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1340_cast_fp16 = softmax(axis = var_15, x = aw_137_cast_fp16)[name = tensor<string, []>("op_1340_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1341_cast_fp16 = softmax(axis = var_15, x = aw_139_cast_fp16)[name = tensor<string, []>("op_1341_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1342_cast_fp16 = softmax(axis = var_15, x = aw_141_cast_fp16)[name = tensor<string, []>("op_1342_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1343_cast_fp16 = softmax(axis = var_15, x = aw_143_cast_fp16)[name = tensor<string, []>("op_1343_cast_fp16")];
            tensor<string, []> var_1345_equation_0 = const()[name = tensor<string, []>("op_1345_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1345_cast_fp16 = einsum(equation = var_1345_equation_0, values = (var_1271_cast_fp16_0, var_1332_cast_fp16))[name = tensor<string, []>("op_1345_cast_fp16")];
            tensor<string, []> var_1347_equation_0 = const()[name = tensor<string, []>("op_1347_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1347_cast_fp16 = einsum(equation = var_1347_equation_0, values = (var_1271_cast_fp16_1, var_1333_cast_fp16))[name = tensor<string, []>("op_1347_cast_fp16")];
            tensor<string, []> var_1349_equation_0 = const()[name = tensor<string, []>("op_1349_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1349_cast_fp16 = einsum(equation = var_1349_equation_0, values = (var_1271_cast_fp16_2, var_1334_cast_fp16))[name = tensor<string, []>("op_1349_cast_fp16")];
            tensor<string, []> var_1351_equation_0 = const()[name = tensor<string, []>("op_1351_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1351_cast_fp16 = einsum(equation = var_1351_equation_0, values = (var_1271_cast_fp16_3, var_1335_cast_fp16))[name = tensor<string, []>("op_1351_cast_fp16")];
            tensor<string, []> var_1353_equation_0 = const()[name = tensor<string, []>("op_1353_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1353_cast_fp16 = einsum(equation = var_1353_equation_0, values = (var_1271_cast_fp16_4, var_1336_cast_fp16))[name = tensor<string, []>("op_1353_cast_fp16")];
            tensor<string, []> var_1355_equation_0 = const()[name = tensor<string, []>("op_1355_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1355_cast_fp16 = einsum(equation = var_1355_equation_0, values = (var_1271_cast_fp16_5, var_1337_cast_fp16))[name = tensor<string, []>("op_1355_cast_fp16")];
            tensor<string, []> var_1357_equation_0 = const()[name = tensor<string, []>("op_1357_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1357_cast_fp16 = einsum(equation = var_1357_equation_0, values = (var_1271_cast_fp16_6, var_1338_cast_fp16))[name = tensor<string, []>("op_1357_cast_fp16")];
            tensor<string, []> var_1359_equation_0 = const()[name = tensor<string, []>("op_1359_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1359_cast_fp16 = einsum(equation = var_1359_equation_0, values = (var_1271_cast_fp16_7, var_1339_cast_fp16))[name = tensor<string, []>("op_1359_cast_fp16")];
            tensor<string, []> var_1361_equation_0 = const()[name = tensor<string, []>("op_1361_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1361_cast_fp16 = einsum(equation = var_1361_equation_0, values = (var_1271_cast_fp16_8, var_1340_cast_fp16))[name = tensor<string, []>("op_1361_cast_fp16")];
            tensor<string, []> var_1363_equation_0 = const()[name = tensor<string, []>("op_1363_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1363_cast_fp16 = einsum(equation = var_1363_equation_0, values = (var_1271_cast_fp16_9, var_1341_cast_fp16))[name = tensor<string, []>("op_1363_cast_fp16")];
            tensor<string, []> var_1365_equation_0 = const()[name = tensor<string, []>("op_1365_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1365_cast_fp16 = einsum(equation = var_1365_equation_0, values = (var_1271_cast_fp16_10, var_1342_cast_fp16))[name = tensor<string, []>("op_1365_cast_fp16")];
            tensor<string, []> var_1367_equation_0 = const()[name = tensor<string, []>("op_1367_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1367_cast_fp16 = einsum(equation = var_1367_equation_0, values = (var_1271_cast_fp16_11, var_1343_cast_fp16))[name = tensor<string, []>("op_1367_cast_fp16")];
            tensor<bool, []> input_31_interleave_0 = const()[name = tensor<string, []>("input_31_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_31_cast_fp16 = concat(axis = var_15, interleave = input_31_interleave_0, values = (var_1345_cast_fp16, var_1347_cast_fp16, var_1349_cast_fp16, var_1351_cast_fp16, var_1353_cast_fp16, var_1355_cast_fp16, var_1357_cast_fp16, var_1359_cast_fp16, var_1361_cast_fp16, var_1363_cast_fp16, var_1365_cast_fp16, var_1367_cast_fp16))[name = tensor<string, []>("input_31_cast_fp16")];
            tensor<int32, [2]> var_1372 = const()[name = tensor<string, []>("op_1372"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1374 = const()[name = tensor<string, []>("op_1374"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1376_pad_type_0 = const()[name = tensor<string, []>("op_1376_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1376_pad_0 = const()[name = tensor<string, []>("op_1376_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67452032)))];
            tensor<fp16, [1, 768, 1, 122]> var_1376_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_out_proj_bias_to_fp16, dilations = var_1374, groups = var_15, pad = var_1376_pad_0, pad_type = var_1376_pad_type_0, strides = var_1372, weight = vision_model_transformer_resblocks_5_attn_out_proj_weight_cast_fp16, x = input_31_cast_fp16)[name = tensor<string, []>("op_1376_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_27_cast_fp16 = add(x = inputs_25_cast_fp16, y = var_1376_cast_fp16)[name = tensor<string, []>("inputs_27_cast_fp16")];
            tensor<int32, [1]> out_25_axes_0 = const()[name = tensor<string, []>("out_25_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1386_to_fp16 = const()[name = tensor<string, []>("op_1386_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_25_cast_fp16 = layer_norm(axes = out_25_axes_0, epsilon = var_1386_to_fp16, x = inputs_27_cast_fp16)[name = tensor<string, []>("out_25_cast_fp16")];
            tensor<fp16, [768]> input_33_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_33_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67453632)))];
            tensor<fp16, [768]> input_33_beta_0_to_fp16 = const()[name = tensor<string, []>("input_33_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67455232)))];
            tensor<fp16, []> input_33_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_33_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_33_cast_fp16 = batch_norm(beta = input_33_beta_0_to_fp16, epsilon = input_33_epsilon_0_to_fp16, gamma = input_33_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_25_cast_fp16)[name = tensor<string, []>("input_33_cast_fp16")];
            tensor<int32, [2]> var_1400 = const()[name = tensor<string, []>("op_1400"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1402 = const()[name = tensor<string, []>("op_1402"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_21_pad_type_0 = const()[name = tensor<string, []>("x_21_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_21_pad_0 = const()[name = tensor<string, []>("x_21_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_5_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67456832)))];
            tensor<fp16, [1, 3072, 1, 122]> x_21_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_mlp_c_fc_bias_to_fp16, dilations = var_1402, groups = var_15, pad = x_21_pad_0, pad_type = x_21_pad_type_0, strides = var_1400, weight = vision_model_transformer_resblocks_5_mlp_c_fc_weight_cast_fp16, x = input_33_cast_fp16)[name = tensor<string, []>("x_21_cast_fp16")];
            tensor<fp16, []> var_1405_to_fp16 = const()[name = tensor<string, []>("op_1405_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_1406_cast_fp16 = mul(x = x_21_cast_fp16, y = var_1405_to_fp16)[name = tensor<string, []>("op_1406_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_1407_cast_fp16 = sigmoid(x = var_1406_cast_fp16)[name = tensor<string, []>("op_1407_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_35_cast_fp16 = mul(x = x_21_cast_fp16, y = var_1407_cast_fp16)[name = tensor<string, []>("input_35_cast_fp16")];
            tensor<int32, [2]> var_1411 = const()[name = tensor<string, []>("op_1411"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1413 = const()[name = tensor<string, []>("op_1413"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1415_pad_type_0 = const()[name = tensor<string, []>("op_1415_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1415_pad_0 = const()[name = tensor<string, []>("op_1415_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67463040)))];
            tensor<fp16, [1, 768, 1, 122]> var_1415_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_mlp_c_proj_bias_to_fp16, dilations = var_1413, groups = var_15, pad = var_1415_pad_0, pad_type = var_1415_pad_type_0, strides = var_1411, weight = vision_model_transformer_resblocks_5_mlp_c_proj_weight_cast_fp16, x = input_35_cast_fp16)[name = tensor<string, []>("op_1415_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_29_cast_fp16 = add(x = inputs_27_cast_fp16, y = var_1415_cast_fp16)[name = tensor<string, []>("inputs_29_cast_fp16")];
            tensor<int32, [1]> out_27_axes_0 = const()[name = tensor<string, []>("out_27_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1429_to_fp16 = const()[name = tensor<string, []>("op_1429_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_27_cast_fp16 = layer_norm(axes = out_27_axes_0, epsilon = var_1429_to_fp16, x = inputs_29_cast_fp16)[name = tensor<string, []>("out_27_cast_fp16")];
            tensor<fp16, [768]> query_13_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_13_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67464640)))];
            tensor<fp16, [768]> query_13_beta_0_to_fp16 = const()[name = tensor<string, []>("query_13_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67466240)))];
            tensor<fp16, []> query_13_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_13_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_13_cast_fp16 = batch_norm(beta = query_13_beta_0_to_fp16, epsilon = query_13_epsilon_0_to_fp16, gamma = query_13_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_27_cast_fp16)[name = tensor<string, []>("query_13_cast_fp16")];
            tensor<int32, [2]> var_1445 = const()[name = tensor<string, []>("op_1445"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1447 = const()[name = tensor<string, []>("op_1447"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1449_pad_type_0 = const()[name = tensor<string, []>("op_1449_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1449_pad_0 = const()[name = tensor<string, []>("op_1449_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67467840)))];
            tensor<fp16, [1, 768, 1, 122]> var_1449_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_query_bias_to_fp16, dilations = var_1447, groups = var_15, pad = var_1449_pad_0, pad_type = var_1449_pad_type_0, strides = var_1445, weight = vision_model_transformer_resblocks_6_attn_query_weight_cast_fp16, x = query_13_cast_fp16)[name = tensor<string, []>("op_1449_cast_fp16")];
            tensor<int32, [2]> var_1452 = const()[name = tensor<string, []>("op_1452"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1454 = const()[name = tensor<string, []>("op_1454"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_13_pad_type_0 = const()[name = tensor<string, []>("k_13_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_13_pad_0 = const()[name = tensor<string, []>("k_13_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67469440)))];
            tensor<fp16, [1, 768, 1, 122]> k_13_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_key_bias_to_fp16, dilations = var_1454, groups = var_15, pad = k_13_pad_0, pad_type = k_13_pad_type_0, strides = var_1452, weight = vision_model_transformer_resblocks_6_attn_key_weight_cast_fp16, x = query_13_cast_fp16)[name = tensor<string, []>("k_13_cast_fp16")];
            tensor<int32, [2]> var_1459 = const()[name = tensor<string, []>("op_1459"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1461 = const()[name = tensor<string, []>("op_1461"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1463_pad_type_0 = const()[name = tensor<string, []>("op_1463_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1463_pad_0 = const()[name = tensor<string, []>("op_1463_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67471040)))];
            tensor<fp16, [1, 768, 1, 122]> var_1463_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_value_bias_to_fp16, dilations = var_1461, groups = var_15, pad = var_1463_pad_0, pad_type = var_1463_pad_type_0, strides = var_1459, weight = vision_model_transformer_resblocks_6_attn_value_weight_cast_fp16, x = query_13_cast_fp16)[name = tensor<string, []>("op_1463_cast_fp16")];
            tensor<int32, [12]> tile_18 = const()[name = tensor<string, []>("tile_18"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1464_axis_0 = const()[name = tensor<string, []>("op_1464_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1464_cast_fp16_11 = split(axis = var_1464_axis_0, split_sizes = tile_18, x = var_1449_cast_fp16)[name = tensor<string, []>("op_1464_cast_fp16")];
            tensor<int32, [4]> var_1477_perm_0 = const()[name = tensor<string, []>("op_1477_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_19 = const()[name = tensor<string, []>("tile_19"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1478_axis_0 = const()[name = tensor<string, []>("op_1478_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_7 = transpose(perm = var_1477_perm_0, x = k_13_cast_fp16)[name = tensor<string, []>("transpose_7")];
            tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_1478_cast_fp16_11 = split(axis = var_1478_axis_0, split_sizes = tile_19, x = transpose_7)[name = tensor<string, []>("op_1478_cast_fp16")];
            tensor<int32, [12]> tile_20 = const()[name = tensor<string, []>("tile_20"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1491_axis_0 = const()[name = tensor<string, []>("op_1491_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1491_cast_fp16_11 = split(axis = var_1491_axis_0, split_sizes = tile_20, x = var_1463_cast_fp16)[name = tensor<string, []>("op_1491_cast_fp16")];
            tensor<string, []> var_1505_equation_0 = const()[name = tensor<string, []>("op_1505_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1505_cast_fp16 = einsum(equation = var_1505_equation_0, values = (var_1478_cast_fp16_0, var_1464_cast_fp16_0))[name = tensor<string, []>("op_1505_cast_fp16")];
            tensor<fp16, []> var_1506_to_fp16 = const()[name = tensor<string, []>("op_1506_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_145_cast_fp16 = mul(x = var_1505_cast_fp16, y = var_1506_to_fp16)[name = tensor<string, []>("aw_145_cast_fp16")];
            tensor<string, []> var_1509_equation_0 = const()[name = tensor<string, []>("op_1509_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1509_cast_fp16 = einsum(equation = var_1509_equation_0, values = (var_1478_cast_fp16_1, var_1464_cast_fp16_1))[name = tensor<string, []>("op_1509_cast_fp16")];
            tensor<fp16, []> var_1510_to_fp16 = const()[name = tensor<string, []>("op_1510_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_147_cast_fp16 = mul(x = var_1509_cast_fp16, y = var_1510_to_fp16)[name = tensor<string, []>("aw_147_cast_fp16")];
            tensor<string, []> var_1513_equation_0 = const()[name = tensor<string, []>("op_1513_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1513_cast_fp16 = einsum(equation = var_1513_equation_0, values = (var_1478_cast_fp16_2, var_1464_cast_fp16_2))[name = tensor<string, []>("op_1513_cast_fp16")];
            tensor<fp16, []> var_1514_to_fp16 = const()[name = tensor<string, []>("op_1514_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_149_cast_fp16 = mul(x = var_1513_cast_fp16, y = var_1514_to_fp16)[name = tensor<string, []>("aw_149_cast_fp16")];
            tensor<string, []> var_1517_equation_0 = const()[name = tensor<string, []>("op_1517_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1517_cast_fp16 = einsum(equation = var_1517_equation_0, values = (var_1478_cast_fp16_3, var_1464_cast_fp16_3))[name = tensor<string, []>("op_1517_cast_fp16")];
            tensor<fp16, []> var_1518_to_fp16 = const()[name = tensor<string, []>("op_1518_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_151_cast_fp16 = mul(x = var_1517_cast_fp16, y = var_1518_to_fp16)[name = tensor<string, []>("aw_151_cast_fp16")];
            tensor<string, []> var_1521_equation_0 = const()[name = tensor<string, []>("op_1521_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1521_cast_fp16 = einsum(equation = var_1521_equation_0, values = (var_1478_cast_fp16_4, var_1464_cast_fp16_4))[name = tensor<string, []>("op_1521_cast_fp16")];
            tensor<fp16, []> var_1522_to_fp16 = const()[name = tensor<string, []>("op_1522_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_153_cast_fp16 = mul(x = var_1521_cast_fp16, y = var_1522_to_fp16)[name = tensor<string, []>("aw_153_cast_fp16")];
            tensor<string, []> var_1525_equation_0 = const()[name = tensor<string, []>("op_1525_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1525_cast_fp16 = einsum(equation = var_1525_equation_0, values = (var_1478_cast_fp16_5, var_1464_cast_fp16_5))[name = tensor<string, []>("op_1525_cast_fp16")];
            tensor<fp16, []> var_1526_to_fp16 = const()[name = tensor<string, []>("op_1526_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_155_cast_fp16 = mul(x = var_1525_cast_fp16, y = var_1526_to_fp16)[name = tensor<string, []>("aw_155_cast_fp16")];
            tensor<string, []> var_1529_equation_0 = const()[name = tensor<string, []>("op_1529_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1529_cast_fp16 = einsum(equation = var_1529_equation_0, values = (var_1478_cast_fp16_6, var_1464_cast_fp16_6))[name = tensor<string, []>("op_1529_cast_fp16")];
            tensor<fp16, []> var_1530_to_fp16 = const()[name = tensor<string, []>("op_1530_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_157_cast_fp16 = mul(x = var_1529_cast_fp16, y = var_1530_to_fp16)[name = tensor<string, []>("aw_157_cast_fp16")];
            tensor<string, []> var_1533_equation_0 = const()[name = tensor<string, []>("op_1533_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1533_cast_fp16 = einsum(equation = var_1533_equation_0, values = (var_1478_cast_fp16_7, var_1464_cast_fp16_7))[name = tensor<string, []>("op_1533_cast_fp16")];
            tensor<fp16, []> var_1534_to_fp16 = const()[name = tensor<string, []>("op_1534_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_159_cast_fp16 = mul(x = var_1533_cast_fp16, y = var_1534_to_fp16)[name = tensor<string, []>("aw_159_cast_fp16")];
            tensor<string, []> var_1537_equation_0 = const()[name = tensor<string, []>("op_1537_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1537_cast_fp16 = einsum(equation = var_1537_equation_0, values = (var_1478_cast_fp16_8, var_1464_cast_fp16_8))[name = tensor<string, []>("op_1537_cast_fp16")];
            tensor<fp16, []> var_1538_to_fp16 = const()[name = tensor<string, []>("op_1538_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_161_cast_fp16 = mul(x = var_1537_cast_fp16, y = var_1538_to_fp16)[name = tensor<string, []>("aw_161_cast_fp16")];
            tensor<string, []> var_1541_equation_0 = const()[name = tensor<string, []>("op_1541_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1541_cast_fp16 = einsum(equation = var_1541_equation_0, values = (var_1478_cast_fp16_9, var_1464_cast_fp16_9))[name = tensor<string, []>("op_1541_cast_fp16")];
            tensor<fp16, []> var_1542_to_fp16 = const()[name = tensor<string, []>("op_1542_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_163_cast_fp16 = mul(x = var_1541_cast_fp16, y = var_1542_to_fp16)[name = tensor<string, []>("aw_163_cast_fp16")];
            tensor<string, []> var_1545_equation_0 = const()[name = tensor<string, []>("op_1545_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1545_cast_fp16 = einsum(equation = var_1545_equation_0, values = (var_1478_cast_fp16_10, var_1464_cast_fp16_10))[name = tensor<string, []>("op_1545_cast_fp16")];
            tensor<fp16, []> var_1546_to_fp16 = const()[name = tensor<string, []>("op_1546_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_165_cast_fp16 = mul(x = var_1545_cast_fp16, y = var_1546_to_fp16)[name = tensor<string, []>("aw_165_cast_fp16")];
            tensor<string, []> var_1549_equation_0 = const()[name = tensor<string, []>("op_1549_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1549_cast_fp16 = einsum(equation = var_1549_equation_0, values = (var_1478_cast_fp16_11, var_1464_cast_fp16_11))[name = tensor<string, []>("op_1549_cast_fp16")];
            tensor<fp16, []> var_1550_to_fp16 = const()[name = tensor<string, []>("op_1550_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_167_cast_fp16 = mul(x = var_1549_cast_fp16, y = var_1550_to_fp16)[name = tensor<string, []>("aw_167_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1552_cast_fp16 = softmax(axis = var_15, x = aw_145_cast_fp16)[name = tensor<string, []>("op_1552_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1553_cast_fp16 = softmax(axis = var_15, x = aw_147_cast_fp16)[name = tensor<string, []>("op_1553_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1554_cast_fp16 = softmax(axis = var_15, x = aw_149_cast_fp16)[name = tensor<string, []>("op_1554_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1555_cast_fp16 = softmax(axis = var_15, x = aw_151_cast_fp16)[name = tensor<string, []>("op_1555_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1556_cast_fp16 = softmax(axis = var_15, x = aw_153_cast_fp16)[name = tensor<string, []>("op_1556_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1557_cast_fp16 = softmax(axis = var_15, x = aw_155_cast_fp16)[name = tensor<string, []>("op_1557_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1558_cast_fp16 = softmax(axis = var_15, x = aw_157_cast_fp16)[name = tensor<string, []>("op_1558_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1559_cast_fp16 = softmax(axis = var_15, x = aw_159_cast_fp16)[name = tensor<string, []>("op_1559_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1560_cast_fp16 = softmax(axis = var_15, x = aw_161_cast_fp16)[name = tensor<string, []>("op_1560_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1561_cast_fp16 = softmax(axis = var_15, x = aw_163_cast_fp16)[name = tensor<string, []>("op_1561_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1562_cast_fp16 = softmax(axis = var_15, x = aw_165_cast_fp16)[name = tensor<string, []>("op_1562_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1563_cast_fp16 = softmax(axis = var_15, x = aw_167_cast_fp16)[name = tensor<string, []>("op_1563_cast_fp16")];
            tensor<string, []> var_1565_equation_0 = const()[name = tensor<string, []>("op_1565_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1565_cast_fp16 = einsum(equation = var_1565_equation_0, values = (var_1491_cast_fp16_0, var_1552_cast_fp16))[name = tensor<string, []>("op_1565_cast_fp16")];
            tensor<string, []> var_1567_equation_0 = const()[name = tensor<string, []>("op_1567_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1567_cast_fp16 = einsum(equation = var_1567_equation_0, values = (var_1491_cast_fp16_1, var_1553_cast_fp16))[name = tensor<string, []>("op_1567_cast_fp16")];
            tensor<string, []> var_1569_equation_0 = const()[name = tensor<string, []>("op_1569_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1569_cast_fp16 = einsum(equation = var_1569_equation_0, values = (var_1491_cast_fp16_2, var_1554_cast_fp16))[name = tensor<string, []>("op_1569_cast_fp16")];
            tensor<string, []> var_1571_equation_0 = const()[name = tensor<string, []>("op_1571_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1571_cast_fp16 = einsum(equation = var_1571_equation_0, values = (var_1491_cast_fp16_3, var_1555_cast_fp16))[name = tensor<string, []>("op_1571_cast_fp16")];
            tensor<string, []> var_1573_equation_0 = const()[name = tensor<string, []>("op_1573_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1573_cast_fp16 = einsum(equation = var_1573_equation_0, values = (var_1491_cast_fp16_4, var_1556_cast_fp16))[name = tensor<string, []>("op_1573_cast_fp16")];
            tensor<string, []> var_1575_equation_0 = const()[name = tensor<string, []>("op_1575_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1575_cast_fp16 = einsum(equation = var_1575_equation_0, values = (var_1491_cast_fp16_5, var_1557_cast_fp16))[name = tensor<string, []>("op_1575_cast_fp16")];
            tensor<string, []> var_1577_equation_0 = const()[name = tensor<string, []>("op_1577_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1577_cast_fp16 = einsum(equation = var_1577_equation_0, values = (var_1491_cast_fp16_6, var_1558_cast_fp16))[name = tensor<string, []>("op_1577_cast_fp16")];
            tensor<string, []> var_1579_equation_0 = const()[name = tensor<string, []>("op_1579_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1579_cast_fp16 = einsum(equation = var_1579_equation_0, values = (var_1491_cast_fp16_7, var_1559_cast_fp16))[name = tensor<string, []>("op_1579_cast_fp16")];
            tensor<string, []> var_1581_equation_0 = const()[name = tensor<string, []>("op_1581_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1581_cast_fp16 = einsum(equation = var_1581_equation_0, values = (var_1491_cast_fp16_8, var_1560_cast_fp16))[name = tensor<string, []>("op_1581_cast_fp16")];
            tensor<string, []> var_1583_equation_0 = const()[name = tensor<string, []>("op_1583_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1583_cast_fp16 = einsum(equation = var_1583_equation_0, values = (var_1491_cast_fp16_9, var_1561_cast_fp16))[name = tensor<string, []>("op_1583_cast_fp16")];
            tensor<string, []> var_1585_equation_0 = const()[name = tensor<string, []>("op_1585_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1585_cast_fp16 = einsum(equation = var_1585_equation_0, values = (var_1491_cast_fp16_10, var_1562_cast_fp16))[name = tensor<string, []>("op_1585_cast_fp16")];
            tensor<string, []> var_1587_equation_0 = const()[name = tensor<string, []>("op_1587_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1587_cast_fp16 = einsum(equation = var_1587_equation_0, values = (var_1491_cast_fp16_11, var_1563_cast_fp16))[name = tensor<string, []>("op_1587_cast_fp16")];
            tensor<bool, []> input_37_interleave_0 = const()[name = tensor<string, []>("input_37_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_37_cast_fp16 = concat(axis = var_15, interleave = input_37_interleave_0, values = (var_1565_cast_fp16, var_1567_cast_fp16, var_1569_cast_fp16, var_1571_cast_fp16, var_1573_cast_fp16, var_1575_cast_fp16, var_1577_cast_fp16, var_1579_cast_fp16, var_1581_cast_fp16, var_1583_cast_fp16, var_1585_cast_fp16, var_1587_cast_fp16))[name = tensor<string, []>("input_37_cast_fp16")];
            tensor<int32, [2]> var_1592 = const()[name = tensor<string, []>("op_1592"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1594 = const()[name = tensor<string, []>("op_1594"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1596_pad_type_0 = const()[name = tensor<string, []>("op_1596_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1596_pad_0 = const()[name = tensor<string, []>("op_1596_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67472640)))];
            tensor<fp16, [1, 768, 1, 122]> var_1596_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_out_proj_bias_to_fp16, dilations = var_1594, groups = var_15, pad = var_1596_pad_0, pad_type = var_1596_pad_type_0, strides = var_1592, weight = vision_model_transformer_resblocks_6_attn_out_proj_weight_cast_fp16, x = input_37_cast_fp16)[name = tensor<string, []>("op_1596_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_31_cast_fp16 = add(x = inputs_29_cast_fp16, y = var_1596_cast_fp16)[name = tensor<string, []>("inputs_31_cast_fp16")];
            tensor<int32, [1]> out_29_axes_0 = const()[name = tensor<string, []>("out_29_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1606_to_fp16 = const()[name = tensor<string, []>("op_1606_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_29_cast_fp16 = layer_norm(axes = out_29_axes_0, epsilon = var_1606_to_fp16, x = inputs_31_cast_fp16)[name = tensor<string, []>("out_29_cast_fp16")];
            tensor<fp16, [768]> input_39_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_39_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67474240)))];
            tensor<fp16, [768]> input_39_beta_0_to_fp16 = const()[name = tensor<string, []>("input_39_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67475840)))];
            tensor<fp16, []> input_39_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_39_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_39_cast_fp16 = batch_norm(beta = input_39_beta_0_to_fp16, epsilon = input_39_epsilon_0_to_fp16, gamma = input_39_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_29_cast_fp16)[name = tensor<string, []>("input_39_cast_fp16")];
            tensor<int32, [2]> var_1620 = const()[name = tensor<string, []>("op_1620"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1622 = const()[name = tensor<string, []>("op_1622"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_23_pad_type_0 = const()[name = tensor<string, []>("x_23_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_23_pad_0 = const()[name = tensor<string, []>("x_23_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_6_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67477440)))];
            tensor<fp16, [1, 3072, 1, 122]> x_23_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_mlp_c_fc_bias_to_fp16, dilations = var_1622, groups = var_15, pad = x_23_pad_0, pad_type = x_23_pad_type_0, strides = var_1620, weight = vision_model_transformer_resblocks_6_mlp_c_fc_weight_cast_fp16, x = input_39_cast_fp16)[name = tensor<string, []>("x_23_cast_fp16")];
            tensor<fp16, []> var_1625_to_fp16 = const()[name = tensor<string, []>("op_1625_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_1626_cast_fp16 = mul(x = x_23_cast_fp16, y = var_1625_to_fp16)[name = tensor<string, []>("op_1626_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_1627_cast_fp16 = sigmoid(x = var_1626_cast_fp16)[name = tensor<string, []>("op_1627_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_41_cast_fp16 = mul(x = x_23_cast_fp16, y = var_1627_cast_fp16)[name = tensor<string, []>("input_41_cast_fp16")];
            tensor<int32, [2]> var_1631 = const()[name = tensor<string, []>("op_1631"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1633 = const()[name = tensor<string, []>("op_1633"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1635_pad_type_0 = const()[name = tensor<string, []>("op_1635_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1635_pad_0 = const()[name = tensor<string, []>("op_1635_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67483648)))];
            tensor<fp16, [1, 768, 1, 122]> var_1635_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_mlp_c_proj_bias_to_fp16, dilations = var_1633, groups = var_15, pad = var_1635_pad_0, pad_type = var_1635_pad_type_0, strides = var_1631, weight = vision_model_transformer_resblocks_6_mlp_c_proj_weight_cast_fp16, x = input_41_cast_fp16)[name = tensor<string, []>("op_1635_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_33_cast_fp16 = add(x = inputs_31_cast_fp16, y = var_1635_cast_fp16)[name = tensor<string, []>("inputs_33_cast_fp16")];
            tensor<int32, [1]> out_31_axes_0 = const()[name = tensor<string, []>("out_31_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1649_to_fp16 = const()[name = tensor<string, []>("op_1649_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_31_cast_fp16 = layer_norm(axes = out_31_axes_0, epsilon = var_1649_to_fp16, x = inputs_33_cast_fp16)[name = tensor<string, []>("out_31_cast_fp16")];
            tensor<fp16, [768]> query_15_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_15_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67485248)))];
            tensor<fp16, [768]> query_15_beta_0_to_fp16 = const()[name = tensor<string, []>("query_15_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67486848)))];
            tensor<fp16, []> query_15_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_15_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_15_cast_fp16 = batch_norm(beta = query_15_beta_0_to_fp16, epsilon = query_15_epsilon_0_to_fp16, gamma = query_15_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_31_cast_fp16)[name = tensor<string, []>("query_15_cast_fp16")];
            tensor<int32, [2]> var_1665 = const()[name = tensor<string, []>("op_1665"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1667 = const()[name = tensor<string, []>("op_1667"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1669_pad_type_0 = const()[name = tensor<string, []>("op_1669_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1669_pad_0 = const()[name = tensor<string, []>("op_1669_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67488448)))];
            tensor<fp16, [1, 768, 1, 122]> var_1669_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_query_bias_to_fp16, dilations = var_1667, groups = var_15, pad = var_1669_pad_0, pad_type = var_1669_pad_type_0, strides = var_1665, weight = vision_model_transformer_resblocks_7_attn_query_weight_cast_fp16, x = query_15_cast_fp16)[name = tensor<string, []>("op_1669_cast_fp16")];
            tensor<int32, [2]> var_1672 = const()[name = tensor<string, []>("op_1672"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1674 = const()[name = tensor<string, []>("op_1674"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_15_pad_type_0 = const()[name = tensor<string, []>("k_15_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_15_pad_0 = const()[name = tensor<string, []>("k_15_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67490048)))];
            tensor<fp16, [1, 768, 1, 122]> k_15_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_key_bias_to_fp16, dilations = var_1674, groups = var_15, pad = k_15_pad_0, pad_type = k_15_pad_type_0, strides = var_1672, weight = vision_model_transformer_resblocks_7_attn_key_weight_cast_fp16, x = query_15_cast_fp16)[name = tensor<string, []>("k_15_cast_fp16")];
            tensor<int32, [2]> var_1679 = const()[name = tensor<string, []>("op_1679"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1681 = const()[name = tensor<string, []>("op_1681"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1683_pad_type_0 = const()[name = tensor<string, []>("op_1683_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1683_pad_0 = const()[name = tensor<string, []>("op_1683_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67491648)))];
            tensor<fp16, [1, 768, 1, 122]> var_1683_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_value_bias_to_fp16, dilations = var_1681, groups = var_15, pad = var_1683_pad_0, pad_type = var_1683_pad_type_0, strides = var_1679, weight = vision_model_transformer_resblocks_7_attn_value_weight_cast_fp16, x = query_15_cast_fp16)[name = tensor<string, []>("op_1683_cast_fp16")];
            tensor<int32, [12]> tile_21 = const()[name = tensor<string, []>("tile_21"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1684_axis_0 = const()[name = tensor<string, []>("op_1684_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1684_cast_fp16_11 = split(axis = var_1684_axis_0, split_sizes = tile_21, x = var_1669_cast_fp16)[name = tensor<string, []>("op_1684_cast_fp16")];
            tensor<int32, [4]> var_1697_perm_0 = const()[name = tensor<string, []>("op_1697_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_22 = const()[name = tensor<string, []>("tile_22"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1698_axis_0 = const()[name = tensor<string, []>("op_1698_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_6 = transpose(perm = var_1697_perm_0, x = k_15_cast_fp16)[name = tensor<string, []>("transpose_6")];
            tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_1698_cast_fp16_11 = split(axis = var_1698_axis_0, split_sizes = tile_22, x = transpose_6)[name = tensor<string, []>("op_1698_cast_fp16")];
            tensor<int32, [12]> tile_23 = const()[name = tensor<string, []>("tile_23"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1711_axis_0 = const()[name = tensor<string, []>("op_1711_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1711_cast_fp16_11 = split(axis = var_1711_axis_0, split_sizes = tile_23, x = var_1683_cast_fp16)[name = tensor<string, []>("op_1711_cast_fp16")];
            tensor<string, []> var_1725_equation_0 = const()[name = tensor<string, []>("op_1725_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1725_cast_fp16 = einsum(equation = var_1725_equation_0, values = (var_1698_cast_fp16_0, var_1684_cast_fp16_0))[name = tensor<string, []>("op_1725_cast_fp16")];
            tensor<fp16, []> var_1726_to_fp16 = const()[name = tensor<string, []>("op_1726_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_169_cast_fp16 = mul(x = var_1725_cast_fp16, y = var_1726_to_fp16)[name = tensor<string, []>("aw_169_cast_fp16")];
            tensor<string, []> var_1729_equation_0 = const()[name = tensor<string, []>("op_1729_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1729_cast_fp16 = einsum(equation = var_1729_equation_0, values = (var_1698_cast_fp16_1, var_1684_cast_fp16_1))[name = tensor<string, []>("op_1729_cast_fp16")];
            tensor<fp16, []> var_1730_to_fp16 = const()[name = tensor<string, []>("op_1730_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_171_cast_fp16 = mul(x = var_1729_cast_fp16, y = var_1730_to_fp16)[name = tensor<string, []>("aw_171_cast_fp16")];
            tensor<string, []> var_1733_equation_0 = const()[name = tensor<string, []>("op_1733_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1733_cast_fp16 = einsum(equation = var_1733_equation_0, values = (var_1698_cast_fp16_2, var_1684_cast_fp16_2))[name = tensor<string, []>("op_1733_cast_fp16")];
            tensor<fp16, []> var_1734_to_fp16 = const()[name = tensor<string, []>("op_1734_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_173_cast_fp16 = mul(x = var_1733_cast_fp16, y = var_1734_to_fp16)[name = tensor<string, []>("aw_173_cast_fp16")];
            tensor<string, []> var_1737_equation_0 = const()[name = tensor<string, []>("op_1737_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1737_cast_fp16 = einsum(equation = var_1737_equation_0, values = (var_1698_cast_fp16_3, var_1684_cast_fp16_3))[name = tensor<string, []>("op_1737_cast_fp16")];
            tensor<fp16, []> var_1738_to_fp16 = const()[name = tensor<string, []>("op_1738_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_175_cast_fp16 = mul(x = var_1737_cast_fp16, y = var_1738_to_fp16)[name = tensor<string, []>("aw_175_cast_fp16")];
            tensor<string, []> var_1741_equation_0 = const()[name = tensor<string, []>("op_1741_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1741_cast_fp16 = einsum(equation = var_1741_equation_0, values = (var_1698_cast_fp16_4, var_1684_cast_fp16_4))[name = tensor<string, []>("op_1741_cast_fp16")];
            tensor<fp16, []> var_1742_to_fp16 = const()[name = tensor<string, []>("op_1742_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_177_cast_fp16 = mul(x = var_1741_cast_fp16, y = var_1742_to_fp16)[name = tensor<string, []>("aw_177_cast_fp16")];
            tensor<string, []> var_1745_equation_0 = const()[name = tensor<string, []>("op_1745_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1745_cast_fp16 = einsum(equation = var_1745_equation_0, values = (var_1698_cast_fp16_5, var_1684_cast_fp16_5))[name = tensor<string, []>("op_1745_cast_fp16")];
            tensor<fp16, []> var_1746_to_fp16 = const()[name = tensor<string, []>("op_1746_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_179_cast_fp16 = mul(x = var_1745_cast_fp16, y = var_1746_to_fp16)[name = tensor<string, []>("aw_179_cast_fp16")];
            tensor<string, []> var_1749_equation_0 = const()[name = tensor<string, []>("op_1749_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1749_cast_fp16 = einsum(equation = var_1749_equation_0, values = (var_1698_cast_fp16_6, var_1684_cast_fp16_6))[name = tensor<string, []>("op_1749_cast_fp16")];
            tensor<fp16, []> var_1750_to_fp16 = const()[name = tensor<string, []>("op_1750_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_181_cast_fp16 = mul(x = var_1749_cast_fp16, y = var_1750_to_fp16)[name = tensor<string, []>("aw_181_cast_fp16")];
            tensor<string, []> var_1753_equation_0 = const()[name = tensor<string, []>("op_1753_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1753_cast_fp16 = einsum(equation = var_1753_equation_0, values = (var_1698_cast_fp16_7, var_1684_cast_fp16_7))[name = tensor<string, []>("op_1753_cast_fp16")];
            tensor<fp16, []> var_1754_to_fp16 = const()[name = tensor<string, []>("op_1754_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_183_cast_fp16 = mul(x = var_1753_cast_fp16, y = var_1754_to_fp16)[name = tensor<string, []>("aw_183_cast_fp16")];
            tensor<string, []> var_1757_equation_0 = const()[name = tensor<string, []>("op_1757_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1757_cast_fp16 = einsum(equation = var_1757_equation_0, values = (var_1698_cast_fp16_8, var_1684_cast_fp16_8))[name = tensor<string, []>("op_1757_cast_fp16")];
            tensor<fp16, []> var_1758_to_fp16 = const()[name = tensor<string, []>("op_1758_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_185_cast_fp16 = mul(x = var_1757_cast_fp16, y = var_1758_to_fp16)[name = tensor<string, []>("aw_185_cast_fp16")];
            tensor<string, []> var_1761_equation_0 = const()[name = tensor<string, []>("op_1761_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1761_cast_fp16 = einsum(equation = var_1761_equation_0, values = (var_1698_cast_fp16_9, var_1684_cast_fp16_9))[name = tensor<string, []>("op_1761_cast_fp16")];
            tensor<fp16, []> var_1762_to_fp16 = const()[name = tensor<string, []>("op_1762_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_187_cast_fp16 = mul(x = var_1761_cast_fp16, y = var_1762_to_fp16)[name = tensor<string, []>("aw_187_cast_fp16")];
            tensor<string, []> var_1765_equation_0 = const()[name = tensor<string, []>("op_1765_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1765_cast_fp16 = einsum(equation = var_1765_equation_0, values = (var_1698_cast_fp16_10, var_1684_cast_fp16_10))[name = tensor<string, []>("op_1765_cast_fp16")];
            tensor<fp16, []> var_1766_to_fp16 = const()[name = tensor<string, []>("op_1766_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_189_cast_fp16 = mul(x = var_1765_cast_fp16, y = var_1766_to_fp16)[name = tensor<string, []>("aw_189_cast_fp16")];
            tensor<string, []> var_1769_equation_0 = const()[name = tensor<string, []>("op_1769_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1769_cast_fp16 = einsum(equation = var_1769_equation_0, values = (var_1698_cast_fp16_11, var_1684_cast_fp16_11))[name = tensor<string, []>("op_1769_cast_fp16")];
            tensor<fp16, []> var_1770_to_fp16 = const()[name = tensor<string, []>("op_1770_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_191_cast_fp16 = mul(x = var_1769_cast_fp16, y = var_1770_to_fp16)[name = tensor<string, []>("aw_191_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1772_cast_fp16 = softmax(axis = var_15, x = aw_169_cast_fp16)[name = tensor<string, []>("op_1772_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1773_cast_fp16 = softmax(axis = var_15, x = aw_171_cast_fp16)[name = tensor<string, []>("op_1773_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1774_cast_fp16 = softmax(axis = var_15, x = aw_173_cast_fp16)[name = tensor<string, []>("op_1774_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1775_cast_fp16 = softmax(axis = var_15, x = aw_175_cast_fp16)[name = tensor<string, []>("op_1775_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1776_cast_fp16 = softmax(axis = var_15, x = aw_177_cast_fp16)[name = tensor<string, []>("op_1776_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1777_cast_fp16 = softmax(axis = var_15, x = aw_179_cast_fp16)[name = tensor<string, []>("op_1777_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1778_cast_fp16 = softmax(axis = var_15, x = aw_181_cast_fp16)[name = tensor<string, []>("op_1778_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1779_cast_fp16 = softmax(axis = var_15, x = aw_183_cast_fp16)[name = tensor<string, []>("op_1779_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1780_cast_fp16 = softmax(axis = var_15, x = aw_185_cast_fp16)[name = tensor<string, []>("op_1780_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1781_cast_fp16 = softmax(axis = var_15, x = aw_187_cast_fp16)[name = tensor<string, []>("op_1781_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1782_cast_fp16 = softmax(axis = var_15, x = aw_189_cast_fp16)[name = tensor<string, []>("op_1782_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_1783_cast_fp16 = softmax(axis = var_15, x = aw_191_cast_fp16)[name = tensor<string, []>("op_1783_cast_fp16")];
            tensor<string, []> var_1785_equation_0 = const()[name = tensor<string, []>("op_1785_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1785_cast_fp16 = einsum(equation = var_1785_equation_0, values = (var_1711_cast_fp16_0, var_1772_cast_fp16))[name = tensor<string, []>("op_1785_cast_fp16")];
            tensor<string, []> var_1787_equation_0 = const()[name = tensor<string, []>("op_1787_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1787_cast_fp16 = einsum(equation = var_1787_equation_0, values = (var_1711_cast_fp16_1, var_1773_cast_fp16))[name = tensor<string, []>("op_1787_cast_fp16")];
            tensor<string, []> var_1789_equation_0 = const()[name = tensor<string, []>("op_1789_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1789_cast_fp16 = einsum(equation = var_1789_equation_0, values = (var_1711_cast_fp16_2, var_1774_cast_fp16))[name = tensor<string, []>("op_1789_cast_fp16")];
            tensor<string, []> var_1791_equation_0 = const()[name = tensor<string, []>("op_1791_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1791_cast_fp16 = einsum(equation = var_1791_equation_0, values = (var_1711_cast_fp16_3, var_1775_cast_fp16))[name = tensor<string, []>("op_1791_cast_fp16")];
            tensor<string, []> var_1793_equation_0 = const()[name = tensor<string, []>("op_1793_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1793_cast_fp16 = einsum(equation = var_1793_equation_0, values = (var_1711_cast_fp16_4, var_1776_cast_fp16))[name = tensor<string, []>("op_1793_cast_fp16")];
            tensor<string, []> var_1795_equation_0 = const()[name = tensor<string, []>("op_1795_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1795_cast_fp16 = einsum(equation = var_1795_equation_0, values = (var_1711_cast_fp16_5, var_1777_cast_fp16))[name = tensor<string, []>("op_1795_cast_fp16")];
            tensor<string, []> var_1797_equation_0 = const()[name = tensor<string, []>("op_1797_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1797_cast_fp16 = einsum(equation = var_1797_equation_0, values = (var_1711_cast_fp16_6, var_1778_cast_fp16))[name = tensor<string, []>("op_1797_cast_fp16")];
            tensor<string, []> var_1799_equation_0 = const()[name = tensor<string, []>("op_1799_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1799_cast_fp16 = einsum(equation = var_1799_equation_0, values = (var_1711_cast_fp16_7, var_1779_cast_fp16))[name = tensor<string, []>("op_1799_cast_fp16")];
            tensor<string, []> var_1801_equation_0 = const()[name = tensor<string, []>("op_1801_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1801_cast_fp16 = einsum(equation = var_1801_equation_0, values = (var_1711_cast_fp16_8, var_1780_cast_fp16))[name = tensor<string, []>("op_1801_cast_fp16")];
            tensor<string, []> var_1803_equation_0 = const()[name = tensor<string, []>("op_1803_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1803_cast_fp16 = einsum(equation = var_1803_equation_0, values = (var_1711_cast_fp16_9, var_1781_cast_fp16))[name = tensor<string, []>("op_1803_cast_fp16")];
            tensor<string, []> var_1805_equation_0 = const()[name = tensor<string, []>("op_1805_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1805_cast_fp16 = einsum(equation = var_1805_equation_0, values = (var_1711_cast_fp16_10, var_1782_cast_fp16))[name = tensor<string, []>("op_1805_cast_fp16")];
            tensor<string, []> var_1807_equation_0 = const()[name = tensor<string, []>("op_1807_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_1807_cast_fp16 = einsum(equation = var_1807_equation_0, values = (var_1711_cast_fp16_11, var_1783_cast_fp16))[name = tensor<string, []>("op_1807_cast_fp16")];
            tensor<bool, []> input_43_interleave_0 = const()[name = tensor<string, []>("input_43_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_43_cast_fp16 = concat(axis = var_15, interleave = input_43_interleave_0, values = (var_1785_cast_fp16, var_1787_cast_fp16, var_1789_cast_fp16, var_1791_cast_fp16, var_1793_cast_fp16, var_1795_cast_fp16, var_1797_cast_fp16, var_1799_cast_fp16, var_1801_cast_fp16, var_1803_cast_fp16, var_1805_cast_fp16, var_1807_cast_fp16))[name = tensor<string, []>("input_43_cast_fp16")];
            tensor<int32, [2]> var_1812 = const()[name = tensor<string, []>("op_1812"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1814 = const()[name = tensor<string, []>("op_1814"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1816_pad_type_0 = const()[name = tensor<string, []>("op_1816_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1816_pad_0 = const()[name = tensor<string, []>("op_1816_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67493248)))];
            tensor<fp16, [1, 768, 1, 122]> var_1816_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_out_proj_bias_to_fp16, dilations = var_1814, groups = var_15, pad = var_1816_pad_0, pad_type = var_1816_pad_type_0, strides = var_1812, weight = vision_model_transformer_resblocks_7_attn_out_proj_weight_cast_fp16, x = input_43_cast_fp16)[name = tensor<string, []>("op_1816_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_35_cast_fp16 = add(x = inputs_33_cast_fp16, y = var_1816_cast_fp16)[name = tensor<string, []>("inputs_35_cast_fp16")];
            tensor<int32, [1]> out_33_axes_0 = const()[name = tensor<string, []>("out_33_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1826_to_fp16 = const()[name = tensor<string, []>("op_1826_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_33_cast_fp16 = layer_norm(axes = out_33_axes_0, epsilon = var_1826_to_fp16, x = inputs_35_cast_fp16)[name = tensor<string, []>("out_33_cast_fp16")];
            tensor<fp16, [768]> input_45_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_45_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67494848)))];
            tensor<fp16, [768]> input_45_beta_0_to_fp16 = const()[name = tensor<string, []>("input_45_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67496448)))];
            tensor<fp16, []> input_45_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_45_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_45_cast_fp16 = batch_norm(beta = input_45_beta_0_to_fp16, epsilon = input_45_epsilon_0_to_fp16, gamma = input_45_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_33_cast_fp16)[name = tensor<string, []>("input_45_cast_fp16")];
            tensor<int32, [2]> var_1840 = const()[name = tensor<string, []>("op_1840"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1842 = const()[name = tensor<string, []>("op_1842"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_25_pad_type_0 = const()[name = tensor<string, []>("x_25_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_25_pad_0 = const()[name = tensor<string, []>("x_25_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_7_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67498048)))];
            tensor<fp16, [1, 3072, 1, 122]> x_25_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_mlp_c_fc_bias_to_fp16, dilations = var_1842, groups = var_15, pad = x_25_pad_0, pad_type = x_25_pad_type_0, strides = var_1840, weight = vision_model_transformer_resblocks_7_mlp_c_fc_weight_cast_fp16, x = input_45_cast_fp16)[name = tensor<string, []>("x_25_cast_fp16")];
            tensor<fp16, []> var_1845_to_fp16 = const()[name = tensor<string, []>("op_1845_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_1846_cast_fp16 = mul(x = x_25_cast_fp16, y = var_1845_to_fp16)[name = tensor<string, []>("op_1846_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_1847_cast_fp16 = sigmoid(x = var_1846_cast_fp16)[name = tensor<string, []>("op_1847_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_47_cast_fp16 = mul(x = x_25_cast_fp16, y = var_1847_cast_fp16)[name = tensor<string, []>("input_47_cast_fp16")];
            tensor<int32, [2]> var_1851 = const()[name = tensor<string, []>("op_1851"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1853 = const()[name = tensor<string, []>("op_1853"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1855_pad_type_0 = const()[name = tensor<string, []>("op_1855_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1855_pad_0 = const()[name = tensor<string, []>("op_1855_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67504256)))];
            tensor<fp16, [1, 768, 1, 122]> var_1855_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_mlp_c_proj_bias_to_fp16, dilations = var_1853, groups = var_15, pad = var_1855_pad_0, pad_type = var_1855_pad_type_0, strides = var_1851, weight = vision_model_transformer_resblocks_7_mlp_c_proj_weight_cast_fp16, x = input_47_cast_fp16)[name = tensor<string, []>("op_1855_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> x_27_cast_fp16 = add(x = inputs_35_cast_fp16, y = var_1855_cast_fp16)[name = tensor<string, []>("x_27_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1]> tpe_to_fp16 = const()[name = tensor<string, []>("tpe_to_fp16"), val = tensor<fp16, [1, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/unique_weight.bin"), offset = tensor<uint64, []>(1664)))];
            tensor<fp16, [1, 768, 1, 122]> x_29_cast_fp16 = add(x = x_27_cast_fp16, y = tpe_to_fp16)[name = tensor<string, []>("x_29_cast_fp16")];
            tensor<int32, [4]> var_1863_perm_0 = const()[name = tensor<string, []>("op_1863_perm_0"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [1]> out_35_axes_0 = const()[name = tensor<string, []>("out_35_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1879_to_fp16 = const()[name = tensor<string, []>("op_1879_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> transpose_5 = transpose(perm = var_1863_perm_0, x = x_29_cast_fp16)[name = tensor<string, []>("transpose_5")];
            tensor<fp16, [1, 768, 1, 122]> out_35_cast_fp16 = layer_norm(axes = out_35_axes_0, epsilon = var_1879_to_fp16, x = transpose_5)[name = tensor<string, []>("out_35_cast_fp16")];
            tensor<fp16, [768]> query_17_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_17_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67530496)))];
            tensor<fp16, [768]> query_17_beta_0_to_fp16 = const()[name = tensor<string, []>("query_17_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67532096)))];
            tensor<fp16, []> query_17_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_17_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_17_cast_fp16 = batch_norm(beta = query_17_beta_0_to_fp16, epsilon = query_17_epsilon_0_to_fp16, gamma = query_17_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_35_cast_fp16)[name = tensor<string, []>("query_17_cast_fp16")];
            tensor<int32, [2]> var_1895 = const()[name = tensor<string, []>("op_1895"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1897 = const()[name = tensor<string, []>("op_1897"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1899_pad_type_0 = const()[name = tensor<string, []>("op_1899_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1899_pad_0 = const()[name = tensor<string, []>("op_1899_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67533696)))];
            tensor<fp16, [1, 768, 1, 122]> var_1899_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_query_bias_to_fp16, dilations = var_1897, groups = var_15, pad = var_1899_pad_0, pad_type = var_1899_pad_type_0, strides = var_1895, weight = vision_model_transformer_resblocks_8_attn_query_weight_cast_fp16, x = query_17_cast_fp16)[name = tensor<string, []>("op_1899_cast_fp16")];
            tensor<int32, [2]> var_1902 = const()[name = tensor<string, []>("op_1902"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1904 = const()[name = tensor<string, []>("op_1904"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_17_pad_type_0 = const()[name = tensor<string, []>("k_17_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_17_pad_0 = const()[name = tensor<string, []>("k_17_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67535296)))];
            tensor<fp16, [1, 768, 1, 122]> k_17_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_key_bias_to_fp16, dilations = var_1904, groups = var_15, pad = k_17_pad_0, pad_type = k_17_pad_type_0, strides = var_1902, weight = vision_model_transformer_resblocks_8_attn_key_weight_cast_fp16, x = query_17_cast_fp16)[name = tensor<string, []>("k_17_cast_fp16")];
            tensor<int32, [2]> var_1909 = const()[name = tensor<string, []>("op_1909"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1911 = const()[name = tensor<string, []>("op_1911"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1913_pad_type_0 = const()[name = tensor<string, []>("op_1913_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1913_pad_0 = const()[name = tensor<string, []>("op_1913_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67536896)))];
            tensor<fp16, [1, 768, 1, 122]> var_1913_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_value_bias_to_fp16, dilations = var_1911, groups = var_15, pad = var_1913_pad_0, pad_type = var_1913_pad_type_0, strides = var_1909, weight = vision_model_transformer_resblocks_8_attn_value_weight_cast_fp16, x = query_17_cast_fp16)[name = tensor<string, []>("op_1913_cast_fp16")];
            tensor<int32, [12]> tile_24 = const()[name = tensor<string, []>("tile_24"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1914_axis_0 = const()[name = tensor<string, []>("op_1914_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1914_cast_fp16_11 = split(axis = var_1914_axis_0, split_sizes = tile_24, x = var_1899_cast_fp16)[name = tensor<string, []>("op_1914_cast_fp16")];
            tensor<int32, [4]> var_1927_perm_0 = const()[name = tensor<string, []>("op_1927_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_25 = const()[name = tensor<string, []>("tile_25"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1928_axis_0 = const()[name = tensor<string, []>("op_1928_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_4 = transpose(perm = var_1927_perm_0, x = k_17_cast_fp16)[name = tensor<string, []>("transpose_4")];
            tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_1928_cast_fp16_11 = split(axis = var_1928_axis_0, split_sizes = tile_25, x = transpose_4)[name = tensor<string, []>("op_1928_cast_fp16")];
            tensor<int32, [12]> tile_26 = const()[name = tensor<string, []>("tile_26"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1941_axis_0 = const()[name = tensor<string, []>("op_1941_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_1941_cast_fp16_11 = split(axis = var_1941_axis_0, split_sizes = tile_26, x = var_1913_cast_fp16)[name = tensor<string, []>("op_1941_cast_fp16")];
            tensor<string, []> var_1955_equation_0 = const()[name = tensor<string, []>("op_1955_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1955_cast_fp16 = einsum(equation = var_1955_equation_0, values = (var_1928_cast_fp16_0, var_1914_cast_fp16_0))[name = tensor<string, []>("op_1955_cast_fp16")];
            tensor<fp16, []> var_1956_to_fp16 = const()[name = tensor<string, []>("op_1956_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_193_cast_fp16 = mul(x = var_1955_cast_fp16, y = var_1956_to_fp16)[name = tensor<string, []>("aw_193_cast_fp16")];
            tensor<string, []> var_1959_equation_0 = const()[name = tensor<string, []>("op_1959_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1959_cast_fp16 = einsum(equation = var_1959_equation_0, values = (var_1928_cast_fp16_1, var_1914_cast_fp16_1))[name = tensor<string, []>("op_1959_cast_fp16")];
            tensor<fp16, []> var_1960_to_fp16 = const()[name = tensor<string, []>("op_1960_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_195_cast_fp16 = mul(x = var_1959_cast_fp16, y = var_1960_to_fp16)[name = tensor<string, []>("aw_195_cast_fp16")];
            tensor<string, []> var_1963_equation_0 = const()[name = tensor<string, []>("op_1963_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1963_cast_fp16 = einsum(equation = var_1963_equation_0, values = (var_1928_cast_fp16_2, var_1914_cast_fp16_2))[name = tensor<string, []>("op_1963_cast_fp16")];
            tensor<fp16, []> var_1964_to_fp16 = const()[name = tensor<string, []>("op_1964_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_197_cast_fp16 = mul(x = var_1963_cast_fp16, y = var_1964_to_fp16)[name = tensor<string, []>("aw_197_cast_fp16")];
            tensor<string, []> var_1967_equation_0 = const()[name = tensor<string, []>("op_1967_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1967_cast_fp16 = einsum(equation = var_1967_equation_0, values = (var_1928_cast_fp16_3, var_1914_cast_fp16_3))[name = tensor<string, []>("op_1967_cast_fp16")];
            tensor<fp16, []> var_1968_to_fp16 = const()[name = tensor<string, []>("op_1968_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_199_cast_fp16 = mul(x = var_1967_cast_fp16, y = var_1968_to_fp16)[name = tensor<string, []>("aw_199_cast_fp16")];
            tensor<string, []> var_1971_equation_0 = const()[name = tensor<string, []>("op_1971_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1971_cast_fp16 = einsum(equation = var_1971_equation_0, values = (var_1928_cast_fp16_4, var_1914_cast_fp16_4))[name = tensor<string, []>("op_1971_cast_fp16")];
            tensor<fp16, []> var_1972_to_fp16 = const()[name = tensor<string, []>("op_1972_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_201_cast_fp16 = mul(x = var_1971_cast_fp16, y = var_1972_to_fp16)[name = tensor<string, []>("aw_201_cast_fp16")];
            tensor<string, []> var_1975_equation_0 = const()[name = tensor<string, []>("op_1975_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1975_cast_fp16 = einsum(equation = var_1975_equation_0, values = (var_1928_cast_fp16_5, var_1914_cast_fp16_5))[name = tensor<string, []>("op_1975_cast_fp16")];
            tensor<fp16, []> var_1976_to_fp16 = const()[name = tensor<string, []>("op_1976_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_203_cast_fp16 = mul(x = var_1975_cast_fp16, y = var_1976_to_fp16)[name = tensor<string, []>("aw_203_cast_fp16")];
            tensor<string, []> var_1979_equation_0 = const()[name = tensor<string, []>("op_1979_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1979_cast_fp16 = einsum(equation = var_1979_equation_0, values = (var_1928_cast_fp16_6, var_1914_cast_fp16_6))[name = tensor<string, []>("op_1979_cast_fp16")];
            tensor<fp16, []> var_1980_to_fp16 = const()[name = tensor<string, []>("op_1980_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_205_cast_fp16 = mul(x = var_1979_cast_fp16, y = var_1980_to_fp16)[name = tensor<string, []>("aw_205_cast_fp16")];
            tensor<string, []> var_1983_equation_0 = const()[name = tensor<string, []>("op_1983_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1983_cast_fp16 = einsum(equation = var_1983_equation_0, values = (var_1928_cast_fp16_7, var_1914_cast_fp16_7))[name = tensor<string, []>("op_1983_cast_fp16")];
            tensor<fp16, []> var_1984_to_fp16 = const()[name = tensor<string, []>("op_1984_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_207_cast_fp16 = mul(x = var_1983_cast_fp16, y = var_1984_to_fp16)[name = tensor<string, []>("aw_207_cast_fp16")];
            tensor<string, []> var_1987_equation_0 = const()[name = tensor<string, []>("op_1987_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1987_cast_fp16 = einsum(equation = var_1987_equation_0, values = (var_1928_cast_fp16_8, var_1914_cast_fp16_8))[name = tensor<string, []>("op_1987_cast_fp16")];
            tensor<fp16, []> var_1988_to_fp16 = const()[name = tensor<string, []>("op_1988_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_209_cast_fp16 = mul(x = var_1987_cast_fp16, y = var_1988_to_fp16)[name = tensor<string, []>("aw_209_cast_fp16")];
            tensor<string, []> var_1991_equation_0 = const()[name = tensor<string, []>("op_1991_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1991_cast_fp16 = einsum(equation = var_1991_equation_0, values = (var_1928_cast_fp16_9, var_1914_cast_fp16_9))[name = tensor<string, []>("op_1991_cast_fp16")];
            tensor<fp16, []> var_1992_to_fp16 = const()[name = tensor<string, []>("op_1992_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_211_cast_fp16 = mul(x = var_1991_cast_fp16, y = var_1992_to_fp16)[name = tensor<string, []>("aw_211_cast_fp16")];
            tensor<string, []> var_1995_equation_0 = const()[name = tensor<string, []>("op_1995_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1995_cast_fp16 = einsum(equation = var_1995_equation_0, values = (var_1928_cast_fp16_10, var_1914_cast_fp16_10))[name = tensor<string, []>("op_1995_cast_fp16")];
            tensor<fp16, []> var_1996_to_fp16 = const()[name = tensor<string, []>("op_1996_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_213_cast_fp16 = mul(x = var_1995_cast_fp16, y = var_1996_to_fp16)[name = tensor<string, []>("aw_213_cast_fp16")];
            tensor<string, []> var_1999_equation_0 = const()[name = tensor<string, []>("op_1999_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_1999_cast_fp16 = einsum(equation = var_1999_equation_0, values = (var_1928_cast_fp16_11, var_1914_cast_fp16_11))[name = tensor<string, []>("op_1999_cast_fp16")];
            tensor<fp16, []> var_2000_to_fp16 = const()[name = tensor<string, []>("op_2000_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_215_cast_fp16 = mul(x = var_1999_cast_fp16, y = var_2000_to_fp16)[name = tensor<string, []>("aw_215_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2002_cast_fp16 = softmax(axis = var_15, x = aw_193_cast_fp16)[name = tensor<string, []>("op_2002_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2003_cast_fp16 = softmax(axis = var_15, x = aw_195_cast_fp16)[name = tensor<string, []>("op_2003_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2004_cast_fp16 = softmax(axis = var_15, x = aw_197_cast_fp16)[name = tensor<string, []>("op_2004_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2005_cast_fp16 = softmax(axis = var_15, x = aw_199_cast_fp16)[name = tensor<string, []>("op_2005_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2006_cast_fp16 = softmax(axis = var_15, x = aw_201_cast_fp16)[name = tensor<string, []>("op_2006_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2007_cast_fp16 = softmax(axis = var_15, x = aw_203_cast_fp16)[name = tensor<string, []>("op_2007_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2008_cast_fp16 = softmax(axis = var_15, x = aw_205_cast_fp16)[name = tensor<string, []>("op_2008_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2009_cast_fp16 = softmax(axis = var_15, x = aw_207_cast_fp16)[name = tensor<string, []>("op_2009_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2010_cast_fp16 = softmax(axis = var_15, x = aw_209_cast_fp16)[name = tensor<string, []>("op_2010_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2011_cast_fp16 = softmax(axis = var_15, x = aw_211_cast_fp16)[name = tensor<string, []>("op_2011_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2012_cast_fp16 = softmax(axis = var_15, x = aw_213_cast_fp16)[name = tensor<string, []>("op_2012_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2013_cast_fp16 = softmax(axis = var_15, x = aw_215_cast_fp16)[name = tensor<string, []>("op_2013_cast_fp16")];
            tensor<string, []> var_2015_equation_0 = const()[name = tensor<string, []>("op_2015_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2015_cast_fp16 = einsum(equation = var_2015_equation_0, values = (var_1941_cast_fp16_0, var_2002_cast_fp16))[name = tensor<string, []>("op_2015_cast_fp16")];
            tensor<string, []> var_2017_equation_0 = const()[name = tensor<string, []>("op_2017_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2017_cast_fp16 = einsum(equation = var_2017_equation_0, values = (var_1941_cast_fp16_1, var_2003_cast_fp16))[name = tensor<string, []>("op_2017_cast_fp16")];
            tensor<string, []> var_2019_equation_0 = const()[name = tensor<string, []>("op_2019_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2019_cast_fp16 = einsum(equation = var_2019_equation_0, values = (var_1941_cast_fp16_2, var_2004_cast_fp16))[name = tensor<string, []>("op_2019_cast_fp16")];
            tensor<string, []> var_2021_equation_0 = const()[name = tensor<string, []>("op_2021_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2021_cast_fp16 = einsum(equation = var_2021_equation_0, values = (var_1941_cast_fp16_3, var_2005_cast_fp16))[name = tensor<string, []>("op_2021_cast_fp16")];
            tensor<string, []> var_2023_equation_0 = const()[name = tensor<string, []>("op_2023_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2023_cast_fp16 = einsum(equation = var_2023_equation_0, values = (var_1941_cast_fp16_4, var_2006_cast_fp16))[name = tensor<string, []>("op_2023_cast_fp16")];
            tensor<string, []> var_2025_equation_0 = const()[name = tensor<string, []>("op_2025_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2025_cast_fp16 = einsum(equation = var_2025_equation_0, values = (var_1941_cast_fp16_5, var_2007_cast_fp16))[name = tensor<string, []>("op_2025_cast_fp16")];
            tensor<string, []> var_2027_equation_0 = const()[name = tensor<string, []>("op_2027_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2027_cast_fp16 = einsum(equation = var_2027_equation_0, values = (var_1941_cast_fp16_6, var_2008_cast_fp16))[name = tensor<string, []>("op_2027_cast_fp16")];
            tensor<string, []> var_2029_equation_0 = const()[name = tensor<string, []>("op_2029_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2029_cast_fp16 = einsum(equation = var_2029_equation_0, values = (var_1941_cast_fp16_7, var_2009_cast_fp16))[name = tensor<string, []>("op_2029_cast_fp16")];
            tensor<string, []> var_2031_equation_0 = const()[name = tensor<string, []>("op_2031_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2031_cast_fp16 = einsum(equation = var_2031_equation_0, values = (var_1941_cast_fp16_8, var_2010_cast_fp16))[name = tensor<string, []>("op_2031_cast_fp16")];
            tensor<string, []> var_2033_equation_0 = const()[name = tensor<string, []>("op_2033_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2033_cast_fp16 = einsum(equation = var_2033_equation_0, values = (var_1941_cast_fp16_9, var_2011_cast_fp16))[name = tensor<string, []>("op_2033_cast_fp16")];
            tensor<string, []> var_2035_equation_0 = const()[name = tensor<string, []>("op_2035_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2035_cast_fp16 = einsum(equation = var_2035_equation_0, values = (var_1941_cast_fp16_10, var_2012_cast_fp16))[name = tensor<string, []>("op_2035_cast_fp16")];
            tensor<string, []> var_2037_equation_0 = const()[name = tensor<string, []>("op_2037_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2037_cast_fp16 = einsum(equation = var_2037_equation_0, values = (var_1941_cast_fp16_11, var_2013_cast_fp16))[name = tensor<string, []>("op_2037_cast_fp16")];
            tensor<bool, []> input_49_interleave_0 = const()[name = tensor<string, []>("input_49_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_49_cast_fp16 = concat(axis = var_15, interleave = input_49_interleave_0, values = (var_2015_cast_fp16, var_2017_cast_fp16, var_2019_cast_fp16, var_2021_cast_fp16, var_2023_cast_fp16, var_2025_cast_fp16, var_2027_cast_fp16, var_2029_cast_fp16, var_2031_cast_fp16, var_2033_cast_fp16, var_2035_cast_fp16, var_2037_cast_fp16))[name = tensor<string, []>("input_49_cast_fp16")];
            tensor<int32, [2]> var_2042 = const()[name = tensor<string, []>("op_2042"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2044 = const()[name = tensor<string, []>("op_2044"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2046_pad_type_0 = const()[name = tensor<string, []>("op_2046_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2046_pad_0 = const()[name = tensor<string, []>("op_2046_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67538496)))];
            tensor<fp16, [1, 768, 1, 122]> var_2046_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_out_proj_bias_to_fp16, dilations = var_2044, groups = var_15, pad = var_2046_pad_0, pad_type = var_2046_pad_type_0, strides = var_2042, weight = vision_model_transformer_resblocks_8_attn_out_proj_weight_cast_fp16, x = input_49_cast_fp16)[name = tensor<string, []>("op_2046_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_39_cast_fp16 = add(x = transpose_5, y = var_2046_cast_fp16)[name = tensor<string, []>("inputs_39_cast_fp16")];
            tensor<int32, [1]> out_37_axes_0 = const()[name = tensor<string, []>("out_37_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2056_to_fp16 = const()[name = tensor<string, []>("op_2056_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_37_cast_fp16 = layer_norm(axes = out_37_axes_0, epsilon = var_2056_to_fp16, x = inputs_39_cast_fp16)[name = tensor<string, []>("out_37_cast_fp16")];
            tensor<fp16, [768]> input_51_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_51_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67540096)))];
            tensor<fp16, [768]> input_51_beta_0_to_fp16 = const()[name = tensor<string, []>("input_51_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67541696)))];
            tensor<fp16, []> input_51_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_51_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_51_cast_fp16 = batch_norm(beta = input_51_beta_0_to_fp16, epsilon = input_51_epsilon_0_to_fp16, gamma = input_51_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_37_cast_fp16)[name = tensor<string, []>("input_51_cast_fp16")];
            tensor<int32, [2]> var_2070 = const()[name = tensor<string, []>("op_2070"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2072 = const()[name = tensor<string, []>("op_2072"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_31_pad_type_0 = const()[name = tensor<string, []>("x_31_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_31_pad_0 = const()[name = tensor<string, []>("x_31_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_8_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67543296)))];
            tensor<fp16, [1, 3072, 1, 122]> x_31_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_mlp_c_fc_bias_to_fp16, dilations = var_2072, groups = var_15, pad = x_31_pad_0, pad_type = x_31_pad_type_0, strides = var_2070, weight = vision_model_transformer_resblocks_8_mlp_c_fc_weight_cast_fp16, x = input_51_cast_fp16)[name = tensor<string, []>("x_31_cast_fp16")];
            tensor<fp16, []> var_2075_to_fp16 = const()[name = tensor<string, []>("op_2075_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_2076_cast_fp16 = mul(x = x_31_cast_fp16, y = var_2075_to_fp16)[name = tensor<string, []>("op_2076_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_2077_cast_fp16 = sigmoid(x = var_2076_cast_fp16)[name = tensor<string, []>("op_2077_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_53_cast_fp16 = mul(x = x_31_cast_fp16, y = var_2077_cast_fp16)[name = tensor<string, []>("input_53_cast_fp16")];
            tensor<int32, [2]> var_2081 = const()[name = tensor<string, []>("op_2081"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2083 = const()[name = tensor<string, []>("op_2083"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2085_pad_type_0 = const()[name = tensor<string, []>("op_2085_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2085_pad_0 = const()[name = tensor<string, []>("op_2085_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67549504)))];
            tensor<fp16, [1, 768, 1, 122]> var_2085_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_mlp_c_proj_bias_to_fp16, dilations = var_2083, groups = var_15, pad = var_2085_pad_0, pad_type = var_2085_pad_type_0, strides = var_2081, weight = vision_model_transformer_resblocks_8_mlp_c_proj_weight_cast_fp16, x = input_53_cast_fp16)[name = tensor<string, []>("op_2085_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_41_cast_fp16 = add(x = inputs_39_cast_fp16, y = var_2085_cast_fp16)[name = tensor<string, []>("inputs_41_cast_fp16")];
            tensor<int32, [1]> out_39_axes_0 = const()[name = tensor<string, []>("out_39_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2099_to_fp16 = const()[name = tensor<string, []>("op_2099_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_39_cast_fp16 = layer_norm(axes = out_39_axes_0, epsilon = var_2099_to_fp16, x = inputs_41_cast_fp16)[name = tensor<string, []>("out_39_cast_fp16")];
            tensor<fp16, [768]> query_19_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_19_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67551104)))];
            tensor<fp16, [768]> query_19_beta_0_to_fp16 = const()[name = tensor<string, []>("query_19_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67552704)))];
            tensor<fp16, []> query_19_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_19_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_19_cast_fp16 = batch_norm(beta = query_19_beta_0_to_fp16, epsilon = query_19_epsilon_0_to_fp16, gamma = query_19_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_39_cast_fp16)[name = tensor<string, []>("query_19_cast_fp16")];
            tensor<int32, [2]> var_2115 = const()[name = tensor<string, []>("op_2115"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2117 = const()[name = tensor<string, []>("op_2117"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2119_pad_type_0 = const()[name = tensor<string, []>("op_2119_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2119_pad_0 = const()[name = tensor<string, []>("op_2119_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67554304)))];
            tensor<fp16, [1, 768, 1, 122]> var_2119_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_query_bias_to_fp16, dilations = var_2117, groups = var_15, pad = var_2119_pad_0, pad_type = var_2119_pad_type_0, strides = var_2115, weight = vision_model_transformer_resblocks_9_attn_query_weight_cast_fp16, x = query_19_cast_fp16)[name = tensor<string, []>("op_2119_cast_fp16")];
            tensor<int32, [2]> var_2122 = const()[name = tensor<string, []>("op_2122"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2124 = const()[name = tensor<string, []>("op_2124"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_19_pad_type_0 = const()[name = tensor<string, []>("k_19_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_19_pad_0 = const()[name = tensor<string, []>("k_19_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67555904)))];
            tensor<fp16, [1, 768, 1, 122]> k_19_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_key_bias_to_fp16, dilations = var_2124, groups = var_15, pad = k_19_pad_0, pad_type = k_19_pad_type_0, strides = var_2122, weight = vision_model_transformer_resblocks_9_attn_key_weight_cast_fp16, x = query_19_cast_fp16)[name = tensor<string, []>("k_19_cast_fp16")];
            tensor<int32, [2]> var_2129 = const()[name = tensor<string, []>("op_2129"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2131 = const()[name = tensor<string, []>("op_2131"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2133_pad_type_0 = const()[name = tensor<string, []>("op_2133_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2133_pad_0 = const()[name = tensor<string, []>("op_2133_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67557504)))];
            tensor<fp16, [1, 768, 1, 122]> var_2133_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_value_bias_to_fp16, dilations = var_2131, groups = var_15, pad = var_2133_pad_0, pad_type = var_2133_pad_type_0, strides = var_2129, weight = vision_model_transformer_resblocks_9_attn_value_weight_cast_fp16, x = query_19_cast_fp16)[name = tensor<string, []>("op_2133_cast_fp16")];
            tensor<int32, [12]> tile_27 = const()[name = tensor<string, []>("tile_27"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2134_axis_0 = const()[name = tensor<string, []>("op_2134_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_2134_cast_fp16_11 = split(axis = var_2134_axis_0, split_sizes = tile_27, x = var_2119_cast_fp16)[name = tensor<string, []>("op_2134_cast_fp16")];
            tensor<int32, [4]> var_2147_perm_0 = const()[name = tensor<string, []>("op_2147_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_28 = const()[name = tensor<string, []>("tile_28"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2148_axis_0 = const()[name = tensor<string, []>("op_2148_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_3 = transpose(perm = var_2147_perm_0, x = k_19_cast_fp16)[name = tensor<string, []>("transpose_3")];
            tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_2148_cast_fp16_11 = split(axis = var_2148_axis_0, split_sizes = tile_28, x = transpose_3)[name = tensor<string, []>("op_2148_cast_fp16")];
            tensor<int32, [12]> tile_29 = const()[name = tensor<string, []>("tile_29"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2161_axis_0 = const()[name = tensor<string, []>("op_2161_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_2161_cast_fp16_11 = split(axis = var_2161_axis_0, split_sizes = tile_29, x = var_2133_cast_fp16)[name = tensor<string, []>("op_2161_cast_fp16")];
            tensor<string, []> var_2175_equation_0 = const()[name = tensor<string, []>("op_2175_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2175_cast_fp16 = einsum(equation = var_2175_equation_0, values = (var_2148_cast_fp16_0, var_2134_cast_fp16_0))[name = tensor<string, []>("op_2175_cast_fp16")];
            tensor<fp16, []> var_2176_to_fp16 = const()[name = tensor<string, []>("op_2176_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_217_cast_fp16 = mul(x = var_2175_cast_fp16, y = var_2176_to_fp16)[name = tensor<string, []>("aw_217_cast_fp16")];
            tensor<string, []> var_2179_equation_0 = const()[name = tensor<string, []>("op_2179_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2179_cast_fp16 = einsum(equation = var_2179_equation_0, values = (var_2148_cast_fp16_1, var_2134_cast_fp16_1))[name = tensor<string, []>("op_2179_cast_fp16")];
            tensor<fp16, []> var_2180_to_fp16 = const()[name = tensor<string, []>("op_2180_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_219_cast_fp16 = mul(x = var_2179_cast_fp16, y = var_2180_to_fp16)[name = tensor<string, []>("aw_219_cast_fp16")];
            tensor<string, []> var_2183_equation_0 = const()[name = tensor<string, []>("op_2183_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2183_cast_fp16 = einsum(equation = var_2183_equation_0, values = (var_2148_cast_fp16_2, var_2134_cast_fp16_2))[name = tensor<string, []>("op_2183_cast_fp16")];
            tensor<fp16, []> var_2184_to_fp16 = const()[name = tensor<string, []>("op_2184_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_221_cast_fp16 = mul(x = var_2183_cast_fp16, y = var_2184_to_fp16)[name = tensor<string, []>("aw_221_cast_fp16")];
            tensor<string, []> var_2187_equation_0 = const()[name = tensor<string, []>("op_2187_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2187_cast_fp16 = einsum(equation = var_2187_equation_0, values = (var_2148_cast_fp16_3, var_2134_cast_fp16_3))[name = tensor<string, []>("op_2187_cast_fp16")];
            tensor<fp16, []> var_2188_to_fp16 = const()[name = tensor<string, []>("op_2188_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_223_cast_fp16 = mul(x = var_2187_cast_fp16, y = var_2188_to_fp16)[name = tensor<string, []>("aw_223_cast_fp16")];
            tensor<string, []> var_2191_equation_0 = const()[name = tensor<string, []>("op_2191_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2191_cast_fp16 = einsum(equation = var_2191_equation_0, values = (var_2148_cast_fp16_4, var_2134_cast_fp16_4))[name = tensor<string, []>("op_2191_cast_fp16")];
            tensor<fp16, []> var_2192_to_fp16 = const()[name = tensor<string, []>("op_2192_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_225_cast_fp16 = mul(x = var_2191_cast_fp16, y = var_2192_to_fp16)[name = tensor<string, []>("aw_225_cast_fp16")];
            tensor<string, []> var_2195_equation_0 = const()[name = tensor<string, []>("op_2195_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2195_cast_fp16 = einsum(equation = var_2195_equation_0, values = (var_2148_cast_fp16_5, var_2134_cast_fp16_5))[name = tensor<string, []>("op_2195_cast_fp16")];
            tensor<fp16, []> var_2196_to_fp16 = const()[name = tensor<string, []>("op_2196_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_227_cast_fp16 = mul(x = var_2195_cast_fp16, y = var_2196_to_fp16)[name = tensor<string, []>("aw_227_cast_fp16")];
            tensor<string, []> var_2199_equation_0 = const()[name = tensor<string, []>("op_2199_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2199_cast_fp16 = einsum(equation = var_2199_equation_0, values = (var_2148_cast_fp16_6, var_2134_cast_fp16_6))[name = tensor<string, []>("op_2199_cast_fp16")];
            tensor<fp16, []> var_2200_to_fp16 = const()[name = tensor<string, []>("op_2200_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_229_cast_fp16 = mul(x = var_2199_cast_fp16, y = var_2200_to_fp16)[name = tensor<string, []>("aw_229_cast_fp16")];
            tensor<string, []> var_2203_equation_0 = const()[name = tensor<string, []>("op_2203_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2203_cast_fp16 = einsum(equation = var_2203_equation_0, values = (var_2148_cast_fp16_7, var_2134_cast_fp16_7))[name = tensor<string, []>("op_2203_cast_fp16")];
            tensor<fp16, []> var_2204_to_fp16 = const()[name = tensor<string, []>("op_2204_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_231_cast_fp16 = mul(x = var_2203_cast_fp16, y = var_2204_to_fp16)[name = tensor<string, []>("aw_231_cast_fp16")];
            tensor<string, []> var_2207_equation_0 = const()[name = tensor<string, []>("op_2207_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2207_cast_fp16 = einsum(equation = var_2207_equation_0, values = (var_2148_cast_fp16_8, var_2134_cast_fp16_8))[name = tensor<string, []>("op_2207_cast_fp16")];
            tensor<fp16, []> var_2208_to_fp16 = const()[name = tensor<string, []>("op_2208_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_233_cast_fp16 = mul(x = var_2207_cast_fp16, y = var_2208_to_fp16)[name = tensor<string, []>("aw_233_cast_fp16")];
            tensor<string, []> var_2211_equation_0 = const()[name = tensor<string, []>("op_2211_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2211_cast_fp16 = einsum(equation = var_2211_equation_0, values = (var_2148_cast_fp16_9, var_2134_cast_fp16_9))[name = tensor<string, []>("op_2211_cast_fp16")];
            tensor<fp16, []> var_2212_to_fp16 = const()[name = tensor<string, []>("op_2212_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_235_cast_fp16 = mul(x = var_2211_cast_fp16, y = var_2212_to_fp16)[name = tensor<string, []>("aw_235_cast_fp16")];
            tensor<string, []> var_2215_equation_0 = const()[name = tensor<string, []>("op_2215_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2215_cast_fp16 = einsum(equation = var_2215_equation_0, values = (var_2148_cast_fp16_10, var_2134_cast_fp16_10))[name = tensor<string, []>("op_2215_cast_fp16")];
            tensor<fp16, []> var_2216_to_fp16 = const()[name = tensor<string, []>("op_2216_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_237_cast_fp16 = mul(x = var_2215_cast_fp16, y = var_2216_to_fp16)[name = tensor<string, []>("aw_237_cast_fp16")];
            tensor<string, []> var_2219_equation_0 = const()[name = tensor<string, []>("op_2219_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2219_cast_fp16 = einsum(equation = var_2219_equation_0, values = (var_2148_cast_fp16_11, var_2134_cast_fp16_11))[name = tensor<string, []>("op_2219_cast_fp16")];
            tensor<fp16, []> var_2220_to_fp16 = const()[name = tensor<string, []>("op_2220_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_239_cast_fp16 = mul(x = var_2219_cast_fp16, y = var_2220_to_fp16)[name = tensor<string, []>("aw_239_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2222_cast_fp16 = softmax(axis = var_15, x = aw_217_cast_fp16)[name = tensor<string, []>("op_2222_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2223_cast_fp16 = softmax(axis = var_15, x = aw_219_cast_fp16)[name = tensor<string, []>("op_2223_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2224_cast_fp16 = softmax(axis = var_15, x = aw_221_cast_fp16)[name = tensor<string, []>("op_2224_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2225_cast_fp16 = softmax(axis = var_15, x = aw_223_cast_fp16)[name = tensor<string, []>("op_2225_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2226_cast_fp16 = softmax(axis = var_15, x = aw_225_cast_fp16)[name = tensor<string, []>("op_2226_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2227_cast_fp16 = softmax(axis = var_15, x = aw_227_cast_fp16)[name = tensor<string, []>("op_2227_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2228_cast_fp16 = softmax(axis = var_15, x = aw_229_cast_fp16)[name = tensor<string, []>("op_2228_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2229_cast_fp16 = softmax(axis = var_15, x = aw_231_cast_fp16)[name = tensor<string, []>("op_2229_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2230_cast_fp16 = softmax(axis = var_15, x = aw_233_cast_fp16)[name = tensor<string, []>("op_2230_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2231_cast_fp16 = softmax(axis = var_15, x = aw_235_cast_fp16)[name = tensor<string, []>("op_2231_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2232_cast_fp16 = softmax(axis = var_15, x = aw_237_cast_fp16)[name = tensor<string, []>("op_2232_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2233_cast_fp16 = softmax(axis = var_15, x = aw_239_cast_fp16)[name = tensor<string, []>("op_2233_cast_fp16")];
            tensor<string, []> var_2235_equation_0 = const()[name = tensor<string, []>("op_2235_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2235_cast_fp16 = einsum(equation = var_2235_equation_0, values = (var_2161_cast_fp16_0, var_2222_cast_fp16))[name = tensor<string, []>("op_2235_cast_fp16")];
            tensor<string, []> var_2237_equation_0 = const()[name = tensor<string, []>("op_2237_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2237_cast_fp16 = einsum(equation = var_2237_equation_0, values = (var_2161_cast_fp16_1, var_2223_cast_fp16))[name = tensor<string, []>("op_2237_cast_fp16")];
            tensor<string, []> var_2239_equation_0 = const()[name = tensor<string, []>("op_2239_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2239_cast_fp16 = einsum(equation = var_2239_equation_0, values = (var_2161_cast_fp16_2, var_2224_cast_fp16))[name = tensor<string, []>("op_2239_cast_fp16")];
            tensor<string, []> var_2241_equation_0 = const()[name = tensor<string, []>("op_2241_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2241_cast_fp16 = einsum(equation = var_2241_equation_0, values = (var_2161_cast_fp16_3, var_2225_cast_fp16))[name = tensor<string, []>("op_2241_cast_fp16")];
            tensor<string, []> var_2243_equation_0 = const()[name = tensor<string, []>("op_2243_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2243_cast_fp16 = einsum(equation = var_2243_equation_0, values = (var_2161_cast_fp16_4, var_2226_cast_fp16))[name = tensor<string, []>("op_2243_cast_fp16")];
            tensor<string, []> var_2245_equation_0 = const()[name = tensor<string, []>("op_2245_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2245_cast_fp16 = einsum(equation = var_2245_equation_0, values = (var_2161_cast_fp16_5, var_2227_cast_fp16))[name = tensor<string, []>("op_2245_cast_fp16")];
            tensor<string, []> var_2247_equation_0 = const()[name = tensor<string, []>("op_2247_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2247_cast_fp16 = einsum(equation = var_2247_equation_0, values = (var_2161_cast_fp16_6, var_2228_cast_fp16))[name = tensor<string, []>("op_2247_cast_fp16")];
            tensor<string, []> var_2249_equation_0 = const()[name = tensor<string, []>("op_2249_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2249_cast_fp16 = einsum(equation = var_2249_equation_0, values = (var_2161_cast_fp16_7, var_2229_cast_fp16))[name = tensor<string, []>("op_2249_cast_fp16")];
            tensor<string, []> var_2251_equation_0 = const()[name = tensor<string, []>("op_2251_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2251_cast_fp16 = einsum(equation = var_2251_equation_0, values = (var_2161_cast_fp16_8, var_2230_cast_fp16))[name = tensor<string, []>("op_2251_cast_fp16")];
            tensor<string, []> var_2253_equation_0 = const()[name = tensor<string, []>("op_2253_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2253_cast_fp16 = einsum(equation = var_2253_equation_0, values = (var_2161_cast_fp16_9, var_2231_cast_fp16))[name = tensor<string, []>("op_2253_cast_fp16")];
            tensor<string, []> var_2255_equation_0 = const()[name = tensor<string, []>("op_2255_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2255_cast_fp16 = einsum(equation = var_2255_equation_0, values = (var_2161_cast_fp16_10, var_2232_cast_fp16))[name = tensor<string, []>("op_2255_cast_fp16")];
            tensor<string, []> var_2257_equation_0 = const()[name = tensor<string, []>("op_2257_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2257_cast_fp16 = einsum(equation = var_2257_equation_0, values = (var_2161_cast_fp16_11, var_2233_cast_fp16))[name = tensor<string, []>("op_2257_cast_fp16")];
            tensor<bool, []> input_55_interleave_0 = const()[name = tensor<string, []>("input_55_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_55_cast_fp16 = concat(axis = var_15, interleave = input_55_interleave_0, values = (var_2235_cast_fp16, var_2237_cast_fp16, var_2239_cast_fp16, var_2241_cast_fp16, var_2243_cast_fp16, var_2245_cast_fp16, var_2247_cast_fp16, var_2249_cast_fp16, var_2251_cast_fp16, var_2253_cast_fp16, var_2255_cast_fp16, var_2257_cast_fp16))[name = tensor<string, []>("input_55_cast_fp16")];
            tensor<int32, [2]> var_2262 = const()[name = tensor<string, []>("op_2262"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2264 = const()[name = tensor<string, []>("op_2264"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2266_pad_type_0 = const()[name = tensor<string, []>("op_2266_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2266_pad_0 = const()[name = tensor<string, []>("op_2266_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67559104)))];
            tensor<fp16, [1, 768, 1, 122]> var_2266_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_out_proj_bias_to_fp16, dilations = var_2264, groups = var_15, pad = var_2266_pad_0, pad_type = var_2266_pad_type_0, strides = var_2262, weight = vision_model_transformer_resblocks_9_attn_out_proj_weight_cast_fp16, x = input_55_cast_fp16)[name = tensor<string, []>("op_2266_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_43_cast_fp16 = add(x = inputs_41_cast_fp16, y = var_2266_cast_fp16)[name = tensor<string, []>("inputs_43_cast_fp16")];
            tensor<int32, [1]> out_41_axes_0 = const()[name = tensor<string, []>("out_41_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2276_to_fp16 = const()[name = tensor<string, []>("op_2276_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_41_cast_fp16 = layer_norm(axes = out_41_axes_0, epsilon = var_2276_to_fp16, x = inputs_43_cast_fp16)[name = tensor<string, []>("out_41_cast_fp16")];
            tensor<fp16, [768]> input_57_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_57_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67560704)))];
            tensor<fp16, [768]> input_57_beta_0_to_fp16 = const()[name = tensor<string, []>("input_57_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67562304)))];
            tensor<fp16, []> input_57_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_57_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_57_cast_fp16 = batch_norm(beta = input_57_beta_0_to_fp16, epsilon = input_57_epsilon_0_to_fp16, gamma = input_57_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_41_cast_fp16)[name = tensor<string, []>("input_57_cast_fp16")];
            tensor<int32, [2]> var_2290 = const()[name = tensor<string, []>("op_2290"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2292 = const()[name = tensor<string, []>("op_2292"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_33_pad_type_0 = const()[name = tensor<string, []>("x_33_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_33_pad_0 = const()[name = tensor<string, []>("x_33_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_9_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67563904)))];
            tensor<fp16, [1, 3072, 1, 122]> x_33_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_mlp_c_fc_bias_to_fp16, dilations = var_2292, groups = var_15, pad = x_33_pad_0, pad_type = x_33_pad_type_0, strides = var_2290, weight = vision_model_transformer_resblocks_9_mlp_c_fc_weight_cast_fp16, x = input_57_cast_fp16)[name = tensor<string, []>("x_33_cast_fp16")];
            tensor<fp16, []> var_2295_to_fp16 = const()[name = tensor<string, []>("op_2295_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_2296_cast_fp16 = mul(x = x_33_cast_fp16, y = var_2295_to_fp16)[name = tensor<string, []>("op_2296_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_2297_cast_fp16 = sigmoid(x = var_2296_cast_fp16)[name = tensor<string, []>("op_2297_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_59_cast_fp16 = mul(x = x_33_cast_fp16, y = var_2297_cast_fp16)[name = tensor<string, []>("input_59_cast_fp16")];
            tensor<int32, [2]> var_2301 = const()[name = tensor<string, []>("op_2301"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2303 = const()[name = tensor<string, []>("op_2303"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2305_pad_type_0 = const()[name = tensor<string, []>("op_2305_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2305_pad_0 = const()[name = tensor<string, []>("op_2305_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67570112)))];
            tensor<fp16, [1, 768, 1, 122]> var_2305_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_mlp_c_proj_bias_to_fp16, dilations = var_2303, groups = var_15, pad = var_2305_pad_0, pad_type = var_2305_pad_type_0, strides = var_2301, weight = vision_model_transformer_resblocks_9_mlp_c_proj_weight_cast_fp16, x = input_59_cast_fp16)[name = tensor<string, []>("op_2305_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_45_cast_fp16 = add(x = inputs_43_cast_fp16, y = var_2305_cast_fp16)[name = tensor<string, []>("inputs_45_cast_fp16")];
            tensor<int32, [1]> out_43_axes_0 = const()[name = tensor<string, []>("out_43_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2319_to_fp16 = const()[name = tensor<string, []>("op_2319_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_43_cast_fp16 = layer_norm(axes = out_43_axes_0, epsilon = var_2319_to_fp16, x = inputs_45_cast_fp16)[name = tensor<string, []>("out_43_cast_fp16")];
            tensor<fp16, [768]> query_21_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_21_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67571712)))];
            tensor<fp16, [768]> query_21_beta_0_to_fp16 = const()[name = tensor<string, []>("query_21_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67573312)))];
            tensor<fp16, []> query_21_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_21_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_21_cast_fp16 = batch_norm(beta = query_21_beta_0_to_fp16, epsilon = query_21_epsilon_0_to_fp16, gamma = query_21_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_43_cast_fp16)[name = tensor<string, []>("query_21_cast_fp16")];
            tensor<int32, [2]> var_2335 = const()[name = tensor<string, []>("op_2335"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2337 = const()[name = tensor<string, []>("op_2337"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2339_pad_type_0 = const()[name = tensor<string, []>("op_2339_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2339_pad_0 = const()[name = tensor<string, []>("op_2339_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67574912)))];
            tensor<fp16, [1, 768, 1, 122]> var_2339_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_query_bias_to_fp16, dilations = var_2337, groups = var_15, pad = var_2339_pad_0, pad_type = var_2339_pad_type_0, strides = var_2335, weight = vision_model_transformer_resblocks_10_attn_query_weight_cast_fp16, x = query_21_cast_fp16)[name = tensor<string, []>("op_2339_cast_fp16")];
            tensor<int32, [2]> var_2342 = const()[name = tensor<string, []>("op_2342"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2344 = const()[name = tensor<string, []>("op_2344"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_21_pad_type_0 = const()[name = tensor<string, []>("k_21_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_21_pad_0 = const()[name = tensor<string, []>("k_21_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67576512)))];
            tensor<fp16, [1, 768, 1, 122]> k_21_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_key_bias_to_fp16, dilations = var_2344, groups = var_15, pad = k_21_pad_0, pad_type = k_21_pad_type_0, strides = var_2342, weight = vision_model_transformer_resblocks_10_attn_key_weight_cast_fp16, x = query_21_cast_fp16)[name = tensor<string, []>("k_21_cast_fp16")];
            tensor<int32, [2]> var_2349 = const()[name = tensor<string, []>("op_2349"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2351 = const()[name = tensor<string, []>("op_2351"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2353_pad_type_0 = const()[name = tensor<string, []>("op_2353_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2353_pad_0 = const()[name = tensor<string, []>("op_2353_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67578112)))];
            tensor<fp16, [1, 768, 1, 122]> var_2353_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_value_bias_to_fp16, dilations = var_2351, groups = var_15, pad = var_2353_pad_0, pad_type = var_2353_pad_type_0, strides = var_2349, weight = vision_model_transformer_resblocks_10_attn_value_weight_cast_fp16, x = query_21_cast_fp16)[name = tensor<string, []>("op_2353_cast_fp16")];
            tensor<int32, [12]> tile_30 = const()[name = tensor<string, []>("tile_30"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2354_axis_0 = const()[name = tensor<string, []>("op_2354_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_2354_cast_fp16_11 = split(axis = var_2354_axis_0, split_sizes = tile_30, x = var_2339_cast_fp16)[name = tensor<string, []>("op_2354_cast_fp16")];
            tensor<int32, [4]> var_2367_perm_0 = const()[name = tensor<string, []>("op_2367_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_31 = const()[name = tensor<string, []>("tile_31"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2368_axis_0 = const()[name = tensor<string, []>("op_2368_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_2 = transpose(perm = var_2367_perm_0, x = k_21_cast_fp16)[name = tensor<string, []>("transpose_2")];
            tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_2368_cast_fp16_11 = split(axis = var_2368_axis_0, split_sizes = tile_31, x = transpose_2)[name = tensor<string, []>("op_2368_cast_fp16")];
            tensor<int32, [12]> tile_32 = const()[name = tensor<string, []>("tile_32"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2381_axis_0 = const()[name = tensor<string, []>("op_2381_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_2381_cast_fp16_11 = split(axis = var_2381_axis_0, split_sizes = tile_32, x = var_2353_cast_fp16)[name = tensor<string, []>("op_2381_cast_fp16")];
            tensor<string, []> var_2395_equation_0 = const()[name = tensor<string, []>("op_2395_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2395_cast_fp16 = einsum(equation = var_2395_equation_0, values = (var_2368_cast_fp16_0, var_2354_cast_fp16_0))[name = tensor<string, []>("op_2395_cast_fp16")];
            tensor<fp16, []> var_2396_to_fp16 = const()[name = tensor<string, []>("op_2396_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_241_cast_fp16 = mul(x = var_2395_cast_fp16, y = var_2396_to_fp16)[name = tensor<string, []>("aw_241_cast_fp16")];
            tensor<string, []> var_2399_equation_0 = const()[name = tensor<string, []>("op_2399_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2399_cast_fp16 = einsum(equation = var_2399_equation_0, values = (var_2368_cast_fp16_1, var_2354_cast_fp16_1))[name = tensor<string, []>("op_2399_cast_fp16")];
            tensor<fp16, []> var_2400_to_fp16 = const()[name = tensor<string, []>("op_2400_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_243_cast_fp16 = mul(x = var_2399_cast_fp16, y = var_2400_to_fp16)[name = tensor<string, []>("aw_243_cast_fp16")];
            tensor<string, []> var_2403_equation_0 = const()[name = tensor<string, []>("op_2403_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2403_cast_fp16 = einsum(equation = var_2403_equation_0, values = (var_2368_cast_fp16_2, var_2354_cast_fp16_2))[name = tensor<string, []>("op_2403_cast_fp16")];
            tensor<fp16, []> var_2404_to_fp16 = const()[name = tensor<string, []>("op_2404_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_245_cast_fp16 = mul(x = var_2403_cast_fp16, y = var_2404_to_fp16)[name = tensor<string, []>("aw_245_cast_fp16")];
            tensor<string, []> var_2407_equation_0 = const()[name = tensor<string, []>("op_2407_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2407_cast_fp16 = einsum(equation = var_2407_equation_0, values = (var_2368_cast_fp16_3, var_2354_cast_fp16_3))[name = tensor<string, []>("op_2407_cast_fp16")];
            tensor<fp16, []> var_2408_to_fp16 = const()[name = tensor<string, []>("op_2408_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_247_cast_fp16 = mul(x = var_2407_cast_fp16, y = var_2408_to_fp16)[name = tensor<string, []>("aw_247_cast_fp16")];
            tensor<string, []> var_2411_equation_0 = const()[name = tensor<string, []>("op_2411_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2411_cast_fp16 = einsum(equation = var_2411_equation_0, values = (var_2368_cast_fp16_4, var_2354_cast_fp16_4))[name = tensor<string, []>("op_2411_cast_fp16")];
            tensor<fp16, []> var_2412_to_fp16 = const()[name = tensor<string, []>("op_2412_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_249_cast_fp16 = mul(x = var_2411_cast_fp16, y = var_2412_to_fp16)[name = tensor<string, []>("aw_249_cast_fp16")];
            tensor<string, []> var_2415_equation_0 = const()[name = tensor<string, []>("op_2415_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2415_cast_fp16 = einsum(equation = var_2415_equation_0, values = (var_2368_cast_fp16_5, var_2354_cast_fp16_5))[name = tensor<string, []>("op_2415_cast_fp16")];
            tensor<fp16, []> var_2416_to_fp16 = const()[name = tensor<string, []>("op_2416_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_251_cast_fp16 = mul(x = var_2415_cast_fp16, y = var_2416_to_fp16)[name = tensor<string, []>("aw_251_cast_fp16")];
            tensor<string, []> var_2419_equation_0 = const()[name = tensor<string, []>("op_2419_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2419_cast_fp16 = einsum(equation = var_2419_equation_0, values = (var_2368_cast_fp16_6, var_2354_cast_fp16_6))[name = tensor<string, []>("op_2419_cast_fp16")];
            tensor<fp16, []> var_2420_to_fp16 = const()[name = tensor<string, []>("op_2420_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_253_cast_fp16 = mul(x = var_2419_cast_fp16, y = var_2420_to_fp16)[name = tensor<string, []>("aw_253_cast_fp16")];
            tensor<string, []> var_2423_equation_0 = const()[name = tensor<string, []>("op_2423_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2423_cast_fp16 = einsum(equation = var_2423_equation_0, values = (var_2368_cast_fp16_7, var_2354_cast_fp16_7))[name = tensor<string, []>("op_2423_cast_fp16")];
            tensor<fp16, []> var_2424_to_fp16 = const()[name = tensor<string, []>("op_2424_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_255_cast_fp16 = mul(x = var_2423_cast_fp16, y = var_2424_to_fp16)[name = tensor<string, []>("aw_255_cast_fp16")];
            tensor<string, []> var_2427_equation_0 = const()[name = tensor<string, []>("op_2427_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2427_cast_fp16 = einsum(equation = var_2427_equation_0, values = (var_2368_cast_fp16_8, var_2354_cast_fp16_8))[name = tensor<string, []>("op_2427_cast_fp16")];
            tensor<fp16, []> var_2428_to_fp16 = const()[name = tensor<string, []>("op_2428_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_257_cast_fp16 = mul(x = var_2427_cast_fp16, y = var_2428_to_fp16)[name = tensor<string, []>("aw_257_cast_fp16")];
            tensor<string, []> var_2431_equation_0 = const()[name = tensor<string, []>("op_2431_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2431_cast_fp16 = einsum(equation = var_2431_equation_0, values = (var_2368_cast_fp16_9, var_2354_cast_fp16_9))[name = tensor<string, []>("op_2431_cast_fp16")];
            tensor<fp16, []> var_2432_to_fp16 = const()[name = tensor<string, []>("op_2432_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_259_cast_fp16 = mul(x = var_2431_cast_fp16, y = var_2432_to_fp16)[name = tensor<string, []>("aw_259_cast_fp16")];
            tensor<string, []> var_2435_equation_0 = const()[name = tensor<string, []>("op_2435_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2435_cast_fp16 = einsum(equation = var_2435_equation_0, values = (var_2368_cast_fp16_10, var_2354_cast_fp16_10))[name = tensor<string, []>("op_2435_cast_fp16")];
            tensor<fp16, []> var_2436_to_fp16 = const()[name = tensor<string, []>("op_2436_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_261_cast_fp16 = mul(x = var_2435_cast_fp16, y = var_2436_to_fp16)[name = tensor<string, []>("aw_261_cast_fp16")];
            tensor<string, []> var_2439_equation_0 = const()[name = tensor<string, []>("op_2439_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2439_cast_fp16 = einsum(equation = var_2439_equation_0, values = (var_2368_cast_fp16_11, var_2354_cast_fp16_11))[name = tensor<string, []>("op_2439_cast_fp16")];
            tensor<fp16, []> var_2440_to_fp16 = const()[name = tensor<string, []>("op_2440_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_263_cast_fp16 = mul(x = var_2439_cast_fp16, y = var_2440_to_fp16)[name = tensor<string, []>("aw_263_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2442_cast_fp16 = softmax(axis = var_15, x = aw_241_cast_fp16)[name = tensor<string, []>("op_2442_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2443_cast_fp16 = softmax(axis = var_15, x = aw_243_cast_fp16)[name = tensor<string, []>("op_2443_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2444_cast_fp16 = softmax(axis = var_15, x = aw_245_cast_fp16)[name = tensor<string, []>("op_2444_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2445_cast_fp16 = softmax(axis = var_15, x = aw_247_cast_fp16)[name = tensor<string, []>("op_2445_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2446_cast_fp16 = softmax(axis = var_15, x = aw_249_cast_fp16)[name = tensor<string, []>("op_2446_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2447_cast_fp16 = softmax(axis = var_15, x = aw_251_cast_fp16)[name = tensor<string, []>("op_2447_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2448_cast_fp16 = softmax(axis = var_15, x = aw_253_cast_fp16)[name = tensor<string, []>("op_2448_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2449_cast_fp16 = softmax(axis = var_15, x = aw_255_cast_fp16)[name = tensor<string, []>("op_2449_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2450_cast_fp16 = softmax(axis = var_15, x = aw_257_cast_fp16)[name = tensor<string, []>("op_2450_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2451_cast_fp16 = softmax(axis = var_15, x = aw_259_cast_fp16)[name = tensor<string, []>("op_2451_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2452_cast_fp16 = softmax(axis = var_15, x = aw_261_cast_fp16)[name = tensor<string, []>("op_2452_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2453_cast_fp16 = softmax(axis = var_15, x = aw_263_cast_fp16)[name = tensor<string, []>("op_2453_cast_fp16")];
            tensor<string, []> var_2455_equation_0 = const()[name = tensor<string, []>("op_2455_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2455_cast_fp16 = einsum(equation = var_2455_equation_0, values = (var_2381_cast_fp16_0, var_2442_cast_fp16))[name = tensor<string, []>("op_2455_cast_fp16")];
            tensor<string, []> var_2457_equation_0 = const()[name = tensor<string, []>("op_2457_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2457_cast_fp16 = einsum(equation = var_2457_equation_0, values = (var_2381_cast_fp16_1, var_2443_cast_fp16))[name = tensor<string, []>("op_2457_cast_fp16")];
            tensor<string, []> var_2459_equation_0 = const()[name = tensor<string, []>("op_2459_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2459_cast_fp16 = einsum(equation = var_2459_equation_0, values = (var_2381_cast_fp16_2, var_2444_cast_fp16))[name = tensor<string, []>("op_2459_cast_fp16")];
            tensor<string, []> var_2461_equation_0 = const()[name = tensor<string, []>("op_2461_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2461_cast_fp16 = einsum(equation = var_2461_equation_0, values = (var_2381_cast_fp16_3, var_2445_cast_fp16))[name = tensor<string, []>("op_2461_cast_fp16")];
            tensor<string, []> var_2463_equation_0 = const()[name = tensor<string, []>("op_2463_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2463_cast_fp16 = einsum(equation = var_2463_equation_0, values = (var_2381_cast_fp16_4, var_2446_cast_fp16))[name = tensor<string, []>("op_2463_cast_fp16")];
            tensor<string, []> var_2465_equation_0 = const()[name = tensor<string, []>("op_2465_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2465_cast_fp16 = einsum(equation = var_2465_equation_0, values = (var_2381_cast_fp16_5, var_2447_cast_fp16))[name = tensor<string, []>("op_2465_cast_fp16")];
            tensor<string, []> var_2467_equation_0 = const()[name = tensor<string, []>("op_2467_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2467_cast_fp16 = einsum(equation = var_2467_equation_0, values = (var_2381_cast_fp16_6, var_2448_cast_fp16))[name = tensor<string, []>("op_2467_cast_fp16")];
            tensor<string, []> var_2469_equation_0 = const()[name = tensor<string, []>("op_2469_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2469_cast_fp16 = einsum(equation = var_2469_equation_0, values = (var_2381_cast_fp16_7, var_2449_cast_fp16))[name = tensor<string, []>("op_2469_cast_fp16")];
            tensor<string, []> var_2471_equation_0 = const()[name = tensor<string, []>("op_2471_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2471_cast_fp16 = einsum(equation = var_2471_equation_0, values = (var_2381_cast_fp16_8, var_2450_cast_fp16))[name = tensor<string, []>("op_2471_cast_fp16")];
            tensor<string, []> var_2473_equation_0 = const()[name = tensor<string, []>("op_2473_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2473_cast_fp16 = einsum(equation = var_2473_equation_0, values = (var_2381_cast_fp16_9, var_2451_cast_fp16))[name = tensor<string, []>("op_2473_cast_fp16")];
            tensor<string, []> var_2475_equation_0 = const()[name = tensor<string, []>("op_2475_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2475_cast_fp16 = einsum(equation = var_2475_equation_0, values = (var_2381_cast_fp16_10, var_2452_cast_fp16))[name = tensor<string, []>("op_2475_cast_fp16")];
            tensor<string, []> var_2477_equation_0 = const()[name = tensor<string, []>("op_2477_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2477_cast_fp16 = einsum(equation = var_2477_equation_0, values = (var_2381_cast_fp16_11, var_2453_cast_fp16))[name = tensor<string, []>("op_2477_cast_fp16")];
            tensor<bool, []> input_61_interleave_0 = const()[name = tensor<string, []>("input_61_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_61_cast_fp16 = concat(axis = var_15, interleave = input_61_interleave_0, values = (var_2455_cast_fp16, var_2457_cast_fp16, var_2459_cast_fp16, var_2461_cast_fp16, var_2463_cast_fp16, var_2465_cast_fp16, var_2467_cast_fp16, var_2469_cast_fp16, var_2471_cast_fp16, var_2473_cast_fp16, var_2475_cast_fp16, var_2477_cast_fp16))[name = tensor<string, []>("input_61_cast_fp16")];
            tensor<int32, [2]> var_2482 = const()[name = tensor<string, []>("op_2482"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2484 = const()[name = tensor<string, []>("op_2484"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2486_pad_type_0 = const()[name = tensor<string, []>("op_2486_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2486_pad_0 = const()[name = tensor<string, []>("op_2486_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67579712)))];
            tensor<fp16, [1, 768, 1, 122]> var_2486_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_out_proj_bias_to_fp16, dilations = var_2484, groups = var_15, pad = var_2486_pad_0, pad_type = var_2486_pad_type_0, strides = var_2482, weight = vision_model_transformer_resblocks_10_attn_out_proj_weight_cast_fp16, x = input_61_cast_fp16)[name = tensor<string, []>("op_2486_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_47_cast_fp16 = add(x = inputs_45_cast_fp16, y = var_2486_cast_fp16)[name = tensor<string, []>("inputs_47_cast_fp16")];
            tensor<int32, [1]> out_45_axes_0 = const()[name = tensor<string, []>("out_45_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2496_to_fp16 = const()[name = tensor<string, []>("op_2496_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_45_cast_fp16 = layer_norm(axes = out_45_axes_0, epsilon = var_2496_to_fp16, x = inputs_47_cast_fp16)[name = tensor<string, []>("out_45_cast_fp16")];
            tensor<fp16, [768]> input_63_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_63_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67581312)))];
            tensor<fp16, [768]> input_63_beta_0_to_fp16 = const()[name = tensor<string, []>("input_63_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67582912)))];
            tensor<fp16, []> input_63_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_63_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_63_cast_fp16 = batch_norm(beta = input_63_beta_0_to_fp16, epsilon = input_63_epsilon_0_to_fp16, gamma = input_63_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_45_cast_fp16)[name = tensor<string, []>("input_63_cast_fp16")];
            tensor<int32, [2]> var_2510 = const()[name = tensor<string, []>("op_2510"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2512 = const()[name = tensor<string, []>("op_2512"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_35_pad_type_0 = const()[name = tensor<string, []>("x_35_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_35_pad_0 = const()[name = tensor<string, []>("x_35_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_10_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67584512)))];
            tensor<fp16, [1, 3072, 1, 122]> x_35_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_mlp_c_fc_bias_to_fp16, dilations = var_2512, groups = var_15, pad = x_35_pad_0, pad_type = x_35_pad_type_0, strides = var_2510, weight = vision_model_transformer_resblocks_10_mlp_c_fc_weight_cast_fp16, x = input_63_cast_fp16)[name = tensor<string, []>("x_35_cast_fp16")];
            tensor<fp16, []> var_2515_to_fp16 = const()[name = tensor<string, []>("op_2515_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_2516_cast_fp16 = mul(x = x_35_cast_fp16, y = var_2515_to_fp16)[name = tensor<string, []>("op_2516_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_2517_cast_fp16 = sigmoid(x = var_2516_cast_fp16)[name = tensor<string, []>("op_2517_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_65_cast_fp16 = mul(x = x_35_cast_fp16, y = var_2517_cast_fp16)[name = tensor<string, []>("input_65_cast_fp16")];
            tensor<int32, [2]> var_2521 = const()[name = tensor<string, []>("op_2521"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2523 = const()[name = tensor<string, []>("op_2523"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2525_pad_type_0 = const()[name = tensor<string, []>("op_2525_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2525_pad_0 = const()[name = tensor<string, []>("op_2525_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67590720)))];
            tensor<fp16, [1, 768, 1, 122]> var_2525_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_mlp_c_proj_bias_to_fp16, dilations = var_2523, groups = var_15, pad = var_2525_pad_0, pad_type = var_2525_pad_type_0, strides = var_2521, weight = vision_model_transformer_resblocks_10_mlp_c_proj_weight_cast_fp16, x = input_65_cast_fp16)[name = tensor<string, []>("op_2525_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_49_cast_fp16 = add(x = inputs_47_cast_fp16, y = var_2525_cast_fp16)[name = tensor<string, []>("inputs_49_cast_fp16")];
            tensor<int32, [1]> out_47_axes_0 = const()[name = tensor<string, []>("out_47_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2539_to_fp16 = const()[name = tensor<string, []>("op_2539_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_47_cast_fp16 = layer_norm(axes = out_47_axes_0, epsilon = var_2539_to_fp16, x = inputs_49_cast_fp16)[name = tensor<string, []>("out_47_cast_fp16")];
            tensor<fp16, [768]> query_23_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_23_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67592320)))];
            tensor<fp16, [768]> query_23_beta_0_to_fp16 = const()[name = tensor<string, []>("query_23_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67593920)))];
            tensor<fp16, []> query_23_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_23_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> query_23_cast_fp16 = batch_norm(beta = query_23_beta_0_to_fp16, epsilon = query_23_epsilon_0_to_fp16, gamma = query_23_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_47_cast_fp16)[name = tensor<string, []>("query_23_cast_fp16")];
            tensor<int32, [2]> var_2555 = const()[name = tensor<string, []>("op_2555"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2557 = const()[name = tensor<string, []>("op_2557"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2559_pad_type_0 = const()[name = tensor<string, []>("op_2559_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2559_pad_0 = const()[name = tensor<string, []>("op_2559_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67595520)))];
            tensor<fp16, [1, 768, 1, 122]> var_2559_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_query_bias_to_fp16, dilations = var_2557, groups = var_15, pad = var_2559_pad_0, pad_type = var_2559_pad_type_0, strides = var_2555, weight = vision_model_transformer_resblocks_11_attn_query_weight_cast_fp16, x = query_23_cast_fp16)[name = tensor<string, []>("op_2559_cast_fp16")];
            tensor<int32, [2]> var_2562 = const()[name = tensor<string, []>("op_2562"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2564 = const()[name = tensor<string, []>("op_2564"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_pad_type_0 = const()[name = tensor<string, []>("k_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_pad_0 = const()[name = tensor<string, []>("k_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67597120)))];
            tensor<fp16, [1, 768, 1, 122]> k_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_key_bias_to_fp16, dilations = var_2564, groups = var_15, pad = k_pad_0, pad_type = k_pad_type_0, strides = var_2562, weight = vision_model_transformer_resblocks_11_attn_key_weight_cast_fp16, x = query_23_cast_fp16)[name = tensor<string, []>("k_cast_fp16")];
            tensor<int32, [2]> var_2569 = const()[name = tensor<string, []>("op_2569"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2571 = const()[name = tensor<string, []>("op_2571"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2573_pad_type_0 = const()[name = tensor<string, []>("op_2573_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2573_pad_0 = const()[name = tensor<string, []>("op_2573_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67598720)))];
            tensor<fp16, [1, 768, 1, 122]> var_2573_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_value_bias_to_fp16, dilations = var_2571, groups = var_15, pad = var_2573_pad_0, pad_type = var_2573_pad_type_0, strides = var_2569, weight = vision_model_transformer_resblocks_11_attn_value_weight_cast_fp16, x = query_23_cast_fp16)[name = tensor<string, []>("op_2573_cast_fp16")];
            tensor<int32, [12]> tile_33 = const()[name = tensor<string, []>("tile_33"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2574_axis_0 = const()[name = tensor<string, []>("op_2574_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_2574_cast_fp16_11 = split(axis = var_2574_axis_0, split_sizes = tile_33, x = var_2559_cast_fp16)[name = tensor<string, []>("op_2574_cast_fp16")];
            tensor<int32, [4]> var_2587_perm_0 = const()[name = tensor<string, []>("op_2587_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_34 = const()[name = tensor<string, []>("tile_34"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2588_axis_0 = const()[name = tensor<string, []>("op_2588_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 122, 1, 768]> transpose_1 = transpose(perm = var_2587_perm_0, x = k_cast_fp16)[name = tensor<string, []>("transpose_1")];
            tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_0, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_1, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_2, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_3, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_4, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_5, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_6, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_7, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_8, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_9, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_10, tensor<fp16, [1, 122, 1, 64]> var_2588_cast_fp16_11 = split(axis = var_2588_axis_0, split_sizes = tile_34, x = transpose_1)[name = tensor<string, []>("op_2588_cast_fp16")];
            tensor<int32, [12]> tile_35 = const()[name = tensor<string, []>("tile_35"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2601_axis_0 = const()[name = tensor<string, []>("op_2601_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_0, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_1, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_2, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_3, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_4, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_5, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_6, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_7, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_8, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_9, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_10, tensor<fp16, [1, 64, 1, 122]> var_2601_cast_fp16_11 = split(axis = var_2601_axis_0, split_sizes = tile_35, x = var_2573_cast_fp16)[name = tensor<string, []>("op_2601_cast_fp16")];
            tensor<string, []> var_2615_equation_0 = const()[name = tensor<string, []>("op_2615_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2615_cast_fp16 = einsum(equation = var_2615_equation_0, values = (var_2588_cast_fp16_0, var_2574_cast_fp16_0))[name = tensor<string, []>("op_2615_cast_fp16")];
            tensor<fp16, []> var_2616_to_fp16 = const()[name = tensor<string, []>("op_2616_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_265_cast_fp16 = mul(x = var_2615_cast_fp16, y = var_2616_to_fp16)[name = tensor<string, []>("aw_265_cast_fp16")];
            tensor<string, []> var_2619_equation_0 = const()[name = tensor<string, []>("op_2619_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2619_cast_fp16 = einsum(equation = var_2619_equation_0, values = (var_2588_cast_fp16_1, var_2574_cast_fp16_1))[name = tensor<string, []>("op_2619_cast_fp16")];
            tensor<fp16, []> var_2620_to_fp16 = const()[name = tensor<string, []>("op_2620_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_267_cast_fp16 = mul(x = var_2619_cast_fp16, y = var_2620_to_fp16)[name = tensor<string, []>("aw_267_cast_fp16")];
            tensor<string, []> var_2623_equation_0 = const()[name = tensor<string, []>("op_2623_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2623_cast_fp16 = einsum(equation = var_2623_equation_0, values = (var_2588_cast_fp16_2, var_2574_cast_fp16_2))[name = tensor<string, []>("op_2623_cast_fp16")];
            tensor<fp16, []> var_2624_to_fp16 = const()[name = tensor<string, []>("op_2624_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_269_cast_fp16 = mul(x = var_2623_cast_fp16, y = var_2624_to_fp16)[name = tensor<string, []>("aw_269_cast_fp16")];
            tensor<string, []> var_2627_equation_0 = const()[name = tensor<string, []>("op_2627_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2627_cast_fp16 = einsum(equation = var_2627_equation_0, values = (var_2588_cast_fp16_3, var_2574_cast_fp16_3))[name = tensor<string, []>("op_2627_cast_fp16")];
            tensor<fp16, []> var_2628_to_fp16 = const()[name = tensor<string, []>("op_2628_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_271_cast_fp16 = mul(x = var_2627_cast_fp16, y = var_2628_to_fp16)[name = tensor<string, []>("aw_271_cast_fp16")];
            tensor<string, []> var_2631_equation_0 = const()[name = tensor<string, []>("op_2631_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2631_cast_fp16 = einsum(equation = var_2631_equation_0, values = (var_2588_cast_fp16_4, var_2574_cast_fp16_4))[name = tensor<string, []>("op_2631_cast_fp16")];
            tensor<fp16, []> var_2632_to_fp16 = const()[name = tensor<string, []>("op_2632_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_273_cast_fp16 = mul(x = var_2631_cast_fp16, y = var_2632_to_fp16)[name = tensor<string, []>("aw_273_cast_fp16")];
            tensor<string, []> var_2635_equation_0 = const()[name = tensor<string, []>("op_2635_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2635_cast_fp16 = einsum(equation = var_2635_equation_0, values = (var_2588_cast_fp16_5, var_2574_cast_fp16_5))[name = tensor<string, []>("op_2635_cast_fp16")];
            tensor<fp16, []> var_2636_to_fp16 = const()[name = tensor<string, []>("op_2636_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_275_cast_fp16 = mul(x = var_2635_cast_fp16, y = var_2636_to_fp16)[name = tensor<string, []>("aw_275_cast_fp16")];
            tensor<string, []> var_2639_equation_0 = const()[name = tensor<string, []>("op_2639_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2639_cast_fp16 = einsum(equation = var_2639_equation_0, values = (var_2588_cast_fp16_6, var_2574_cast_fp16_6))[name = tensor<string, []>("op_2639_cast_fp16")];
            tensor<fp16, []> var_2640_to_fp16 = const()[name = tensor<string, []>("op_2640_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_277_cast_fp16 = mul(x = var_2639_cast_fp16, y = var_2640_to_fp16)[name = tensor<string, []>("aw_277_cast_fp16")];
            tensor<string, []> var_2643_equation_0 = const()[name = tensor<string, []>("op_2643_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2643_cast_fp16 = einsum(equation = var_2643_equation_0, values = (var_2588_cast_fp16_7, var_2574_cast_fp16_7))[name = tensor<string, []>("op_2643_cast_fp16")];
            tensor<fp16, []> var_2644_to_fp16 = const()[name = tensor<string, []>("op_2644_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_279_cast_fp16 = mul(x = var_2643_cast_fp16, y = var_2644_to_fp16)[name = tensor<string, []>("aw_279_cast_fp16")];
            tensor<string, []> var_2647_equation_0 = const()[name = tensor<string, []>("op_2647_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2647_cast_fp16 = einsum(equation = var_2647_equation_0, values = (var_2588_cast_fp16_8, var_2574_cast_fp16_8))[name = tensor<string, []>("op_2647_cast_fp16")];
            tensor<fp16, []> var_2648_to_fp16 = const()[name = tensor<string, []>("op_2648_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_281_cast_fp16 = mul(x = var_2647_cast_fp16, y = var_2648_to_fp16)[name = tensor<string, []>("aw_281_cast_fp16")];
            tensor<string, []> var_2651_equation_0 = const()[name = tensor<string, []>("op_2651_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2651_cast_fp16 = einsum(equation = var_2651_equation_0, values = (var_2588_cast_fp16_9, var_2574_cast_fp16_9))[name = tensor<string, []>("op_2651_cast_fp16")];
            tensor<fp16, []> var_2652_to_fp16 = const()[name = tensor<string, []>("op_2652_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_283_cast_fp16 = mul(x = var_2651_cast_fp16, y = var_2652_to_fp16)[name = tensor<string, []>("aw_283_cast_fp16")];
            tensor<string, []> var_2655_equation_0 = const()[name = tensor<string, []>("op_2655_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2655_cast_fp16 = einsum(equation = var_2655_equation_0, values = (var_2588_cast_fp16_10, var_2574_cast_fp16_10))[name = tensor<string, []>("op_2655_cast_fp16")];
            tensor<fp16, []> var_2656_to_fp16 = const()[name = tensor<string, []>("op_2656_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_285_cast_fp16 = mul(x = var_2655_cast_fp16, y = var_2656_to_fp16)[name = tensor<string, []>("aw_285_cast_fp16")];
            tensor<string, []> var_2659_equation_0 = const()[name = tensor<string, []>("op_2659_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 122, 1, 122]> var_2659_cast_fp16 = einsum(equation = var_2659_equation_0, values = (var_2588_cast_fp16_11, var_2574_cast_fp16_11))[name = tensor<string, []>("op_2659_cast_fp16")];
            tensor<fp16, []> var_2660_to_fp16 = const()[name = tensor<string, []>("op_2660_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 122, 1, 122]> aw_cast_fp16 = mul(x = var_2659_cast_fp16, y = var_2660_to_fp16)[name = tensor<string, []>("aw_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2662_cast_fp16 = softmax(axis = var_15, x = aw_265_cast_fp16)[name = tensor<string, []>("op_2662_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2663_cast_fp16 = softmax(axis = var_15, x = aw_267_cast_fp16)[name = tensor<string, []>("op_2663_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2664_cast_fp16 = softmax(axis = var_15, x = aw_269_cast_fp16)[name = tensor<string, []>("op_2664_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2665_cast_fp16 = softmax(axis = var_15, x = aw_271_cast_fp16)[name = tensor<string, []>("op_2665_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2666_cast_fp16 = softmax(axis = var_15, x = aw_273_cast_fp16)[name = tensor<string, []>("op_2666_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2667_cast_fp16 = softmax(axis = var_15, x = aw_275_cast_fp16)[name = tensor<string, []>("op_2667_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2668_cast_fp16 = softmax(axis = var_15, x = aw_277_cast_fp16)[name = tensor<string, []>("op_2668_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2669_cast_fp16 = softmax(axis = var_15, x = aw_279_cast_fp16)[name = tensor<string, []>("op_2669_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2670_cast_fp16 = softmax(axis = var_15, x = aw_281_cast_fp16)[name = tensor<string, []>("op_2670_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2671_cast_fp16 = softmax(axis = var_15, x = aw_283_cast_fp16)[name = tensor<string, []>("op_2671_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2672_cast_fp16 = softmax(axis = var_15, x = aw_285_cast_fp16)[name = tensor<string, []>("op_2672_cast_fp16")];
            tensor<fp16, [1, 122, 1, 122]> var_2673_cast_fp16 = softmax(axis = var_15, x = aw_cast_fp16)[name = tensor<string, []>("op_2673_cast_fp16")];
            tensor<string, []> var_2675_equation_0 = const()[name = tensor<string, []>("op_2675_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2675_cast_fp16 = einsum(equation = var_2675_equation_0, values = (var_2601_cast_fp16_0, var_2662_cast_fp16))[name = tensor<string, []>("op_2675_cast_fp16")];
            tensor<string, []> var_2677_equation_0 = const()[name = tensor<string, []>("op_2677_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2677_cast_fp16 = einsum(equation = var_2677_equation_0, values = (var_2601_cast_fp16_1, var_2663_cast_fp16))[name = tensor<string, []>("op_2677_cast_fp16")];
            tensor<string, []> var_2679_equation_0 = const()[name = tensor<string, []>("op_2679_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2679_cast_fp16 = einsum(equation = var_2679_equation_0, values = (var_2601_cast_fp16_2, var_2664_cast_fp16))[name = tensor<string, []>("op_2679_cast_fp16")];
            tensor<string, []> var_2681_equation_0 = const()[name = tensor<string, []>("op_2681_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2681_cast_fp16 = einsum(equation = var_2681_equation_0, values = (var_2601_cast_fp16_3, var_2665_cast_fp16))[name = tensor<string, []>("op_2681_cast_fp16")];
            tensor<string, []> var_2683_equation_0 = const()[name = tensor<string, []>("op_2683_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2683_cast_fp16 = einsum(equation = var_2683_equation_0, values = (var_2601_cast_fp16_4, var_2666_cast_fp16))[name = tensor<string, []>("op_2683_cast_fp16")];
            tensor<string, []> var_2685_equation_0 = const()[name = tensor<string, []>("op_2685_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2685_cast_fp16 = einsum(equation = var_2685_equation_0, values = (var_2601_cast_fp16_5, var_2667_cast_fp16))[name = tensor<string, []>("op_2685_cast_fp16")];
            tensor<string, []> var_2687_equation_0 = const()[name = tensor<string, []>("op_2687_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2687_cast_fp16 = einsum(equation = var_2687_equation_0, values = (var_2601_cast_fp16_6, var_2668_cast_fp16))[name = tensor<string, []>("op_2687_cast_fp16")];
            tensor<string, []> var_2689_equation_0 = const()[name = tensor<string, []>("op_2689_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2689_cast_fp16 = einsum(equation = var_2689_equation_0, values = (var_2601_cast_fp16_7, var_2669_cast_fp16))[name = tensor<string, []>("op_2689_cast_fp16")];
            tensor<string, []> var_2691_equation_0 = const()[name = tensor<string, []>("op_2691_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2691_cast_fp16 = einsum(equation = var_2691_equation_0, values = (var_2601_cast_fp16_8, var_2670_cast_fp16))[name = tensor<string, []>("op_2691_cast_fp16")];
            tensor<string, []> var_2693_equation_0 = const()[name = tensor<string, []>("op_2693_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2693_cast_fp16 = einsum(equation = var_2693_equation_0, values = (var_2601_cast_fp16_9, var_2671_cast_fp16))[name = tensor<string, []>("op_2693_cast_fp16")];
            tensor<string, []> var_2695_equation_0 = const()[name = tensor<string, []>("op_2695_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2695_cast_fp16 = einsum(equation = var_2695_equation_0, values = (var_2601_cast_fp16_10, var_2672_cast_fp16))[name = tensor<string, []>("op_2695_cast_fp16")];
            tensor<string, []> var_2697_equation_0 = const()[name = tensor<string, []>("op_2697_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 122]> var_2697_cast_fp16 = einsum(equation = var_2697_equation_0, values = (var_2601_cast_fp16_11, var_2673_cast_fp16))[name = tensor<string, []>("op_2697_cast_fp16")];
            tensor<bool, []> input_67_interleave_0 = const()[name = tensor<string, []>("input_67_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 122]> input_67_cast_fp16 = concat(axis = var_15, interleave = input_67_interleave_0, values = (var_2675_cast_fp16, var_2677_cast_fp16, var_2679_cast_fp16, var_2681_cast_fp16, var_2683_cast_fp16, var_2685_cast_fp16, var_2687_cast_fp16, var_2689_cast_fp16, var_2691_cast_fp16, var_2693_cast_fp16, var_2695_cast_fp16, var_2697_cast_fp16))[name = tensor<string, []>("input_67_cast_fp16")];
            tensor<int32, [2]> var_2702 = const()[name = tensor<string, []>("op_2702"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2704 = const()[name = tensor<string, []>("op_2704"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2706_pad_type_0 = const()[name = tensor<string, []>("op_2706_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2706_pad_0 = const()[name = tensor<string, []>("op_2706_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67600320)))];
            tensor<fp16, [1, 768, 1, 122]> var_2706_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_out_proj_bias_to_fp16, dilations = var_2704, groups = var_15, pad = var_2706_pad_0, pad_type = var_2706_pad_type_0, strides = var_2702, weight = vision_model_transformer_resblocks_11_attn_out_proj_weight_cast_fp16, x = input_67_cast_fp16)[name = tensor<string, []>("op_2706_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> inputs_51_cast_fp16 = add(x = inputs_49_cast_fp16, y = var_2706_cast_fp16)[name = tensor<string, []>("inputs_51_cast_fp16")];
            tensor<int32, [1]> out_49_axes_0 = const()[name = tensor<string, []>("out_49_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2716_to_fp16 = const()[name = tensor<string, []>("op_2716_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> out_49_cast_fp16 = layer_norm(axes = out_49_axes_0, epsilon = var_2716_to_fp16, x = inputs_51_cast_fp16)[name = tensor<string, []>("out_49_cast_fp16")];
            tensor<fp16, [768]> input_69_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_69_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67601920)))];
            tensor<fp16, [768]> input_69_beta_0_to_fp16 = const()[name = tensor<string, []>("input_69_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67603520)))];
            tensor<fp16, []> input_69_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_69_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 122]> input_69_cast_fp16 = batch_norm(beta = input_69_beta_0_to_fp16, epsilon = input_69_epsilon_0_to_fp16, gamma = input_69_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_49_cast_fp16)[name = tensor<string, []>("input_69_cast_fp16")];
            tensor<int32, [2]> var_2730 = const()[name = tensor<string, []>("op_2730"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2732 = const()[name = tensor<string, []>("op_2732"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_37_pad_type_0 = const()[name = tensor<string, []>("x_37_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_37_pad_0 = const()[name = tensor<string, []>("x_37_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_11_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67605120)))];
            tensor<fp16, [1, 3072, 1, 122]> x_37_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_mlp_c_fc_bias_to_fp16, dilations = var_2732, groups = var_15, pad = x_37_pad_0, pad_type = x_37_pad_type_0, strides = var_2730, weight = vision_model_transformer_resblocks_11_mlp_c_fc_weight_cast_fp16, x = input_69_cast_fp16)[name = tensor<string, []>("x_37_cast_fp16")];
            tensor<fp16, []> var_2735_to_fp16 = const()[name = tensor<string, []>("op_2735_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 122]> var_2736_cast_fp16 = mul(x = x_37_cast_fp16, y = var_2735_to_fp16)[name = tensor<string, []>("op_2736_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> var_2737_cast_fp16 = sigmoid(x = var_2736_cast_fp16)[name = tensor<string, []>("op_2737_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 122]> input_71_cast_fp16 = mul(x = x_37_cast_fp16, y = var_2737_cast_fp16)[name = tensor<string, []>("input_71_cast_fp16")];
            tensor<int32, [2]> var_2741 = const()[name = tensor<string, []>("op_2741"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2743 = const()[name = tensor<string, []>("op_2743"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2745_pad_type_0 = const()[name = tensor<string, []>("op_2745_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2745_pad_0 = const()[name = tensor<string, []>("op_2745_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67611328)))];
            tensor<fp16, [1, 768, 1, 122]> var_2745_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_mlp_c_proj_bias_to_fp16, dilations = var_2743, groups = var_15, pad = var_2745_pad_0, pad_type = var_2745_pad_type_0, strides = var_2741, weight = vision_model_transformer_resblocks_11_mlp_c_proj_weight_cast_fp16, x = input_71_cast_fp16)[name = tensor<string, []>("op_2745_cast_fp16")];
            tensor<fp16, [1, 768, 1, 122]> x_39_cast_fp16 = add(x = inputs_51_cast_fp16, y = var_2745_cast_fp16)[name = tensor<string, []>("x_39_cast_fp16")];
            tensor<int32, [4]> var_2749 = const()[name = tensor<string, []>("op_2749"), val = tensor<int32, [4]>([0, 2, 3, 1])];
            tensor<int32, [4]> x_begin_0 = const()[name = tensor<string, []>("x_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> x_end_0 = const()[name = tensor<string, []>("x_end_0"), val = tensor<int32, [4]>([1, 768, 1, 1])];
            tensor<bool, [4]> x_end_mask_0 = const()[name = tensor<string, []>("x_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
            tensor<fp16, [1, 768, 1, 1]> x_cast_fp16 = slice_by_index(begin = x_begin_0, end = x_end_0, end_mask = x_end_mask_0, x = x_39_cast_fp16)[name = tensor<string, []>("x_cast_fp16")];
            tensor<int32, [1]> reduce_max_0_axes_0 = const()[name = tensor<string, []>("reduce_max_0_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<bool, []> reduce_max_0_keep_dims_0 = const()[name = tensor<string, []>("reduce_max_0_keep_dims_0"), val = tensor<bool, []>(true)];
            tensor<fp16, [1, 768, 1, 1]> reduce_max_0_cast_fp16 = reduce_max(axes = reduce_max_0_axes_0, keep_dims = reduce_max_0_keep_dims_0, x = x_cast_fp16)[name = tensor<string, []>("reduce_max_0_cast_fp16")];
            tensor<int32, [1]> out_axes_0 = const()[name = tensor<string, []>("out_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2765_to_fp16 = const()[name = tensor<string, []>("op_2765_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1]> out_cast_fp16 = layer_norm(axes = out_axes_0, epsilon = var_2765_to_fp16, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("out_cast_fp16")];
            tensor<fp16, [768]> var_2774_gamma_0_to_fp16 = const()[name = tensor<string, []>("op_2774_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67612928)))];
            tensor<fp16, [768]> var_2774_beta_0_to_fp16 = const()[name = tensor<string, []>("op_2774_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67614528)))];
            tensor<fp16, []> var_2774_epsilon_0_to_fp16 = const()[name = tensor<string, []>("op_2774_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1]> var_2774_cast_fp16 = batch_norm(beta = var_2774_beta_0_to_fp16, epsilon = var_2774_epsilon_0_to_fp16, gamma = var_2774_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_cast_fp16)[name = tensor<string, []>("op_2774_cast_fp16")];
            tensor<int32, [4]> var_2777_begin_0 = const()[name = tensor<string, []>("op_2777_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> var_2777_end_0 = const()[name = tensor<string, []>("op_2777_end_0"), val = tensor<int32, [4]>([1, 768, 1, 1])];
            tensor<bool, [4]> var_2777_end_mask_0 = const()[name = tensor<string, []>("op_2777_end_mask_0"), val = tensor<bool, [4]>([true, true, false, true])];
            tensor<bool, [4]> var_2777_squeeze_mask_0 = const()[name = tensor<string, []>("op_2777_squeeze_mask_0"), val = tensor<bool, [4]>([false, false, true, false])];
            tensor<fp16, [1, 768, 1]> var_2777_cast_fp16 = slice_by_index(begin = var_2777_begin_0, end = var_2777_end_0, end_mask = var_2777_end_mask_0, squeeze_mask = var_2777_squeeze_mask_0, x = var_2774_cast_fp16)[name = tensor<string, []>("op_2777_cast_fp16")];
            tensor<int32, [3]> input_73_begin_0 = const()[name = tensor<string, []>("input_73_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> input_73_end_0 = const()[name = tensor<string, []>("input_73_end_0"), val = tensor<int32, [3]>([1, 768, 1])];
            tensor<bool, [3]> input_73_end_mask_0 = const()[name = tensor<string, []>("input_73_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<bool, [3]> input_73_squeeze_mask_0 = const()[name = tensor<string, []>("input_73_squeeze_mask_0"), val = tensor<bool, [3]>([false, false, true])];
            tensor<fp16, [1, 768]> hidden_embed = slice_by_index(begin = input_73_begin_0, end = input_73_end_0, end_mask = input_73_end_mask_0, squeeze_mask = input_73_squeeze_mask_0, x = var_2777_cast_fp16)[name = tensor<string, []>("input_73_cast_fp16")];
            tensor<fp16, [512]> linear_0_bias_0_to_fp16 = const()[name = tensor<string, []>("linear_0_bias_0_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67616128)))];
            tensor<fp16, [1, 512]> linear_0_cast_fp16 = linear(bias = linear_0_bias_0_to_fp16, weight = vision_proj_0_weight_cast_fp16, x = hidden_embed)[name = tensor<string, []>("linear_0_cast_fp16")];
            tensor<int32, [1]> var_2788 = const()[name = tensor<string, []>("op_2788"), val = tensor<int32, [1]>([-1])];
            tensor<bool, []> var_2789 = const()[name = tensor<string, []>("op_2789"), val = tensor<bool, []>(true)];
            tensor<fp16, [1, 1]> var_2791_cast_fp16 = reduce_l2_norm(axes = var_2788, keep_dims = var_2789, x = linear_0_cast_fp16)[name = tensor<string, []>("op_2791_cast_fp16")];
            tensor<fp16, [1, 512]> vision_embed = real_div(x = linear_0_cast_fp16, y = var_2791_cast_fp16)[name = tensor<string, []>("op_2792_cast_fp16")];
            tensor<fp16, [1, 1, 122, 768]> spatial_embed = transpose(perm = var_2749, x = x_39_cast_fp16)[name = tensor<string, []>("transpose_0")];
        } -> (spatial_embed, hidden_embed, vision_embed);
    func main_video<ios18>(tensor<fp16, [16, 3072, 11, 11]> input) {
            tensor<fp16, [768, 3072, 1, 1]> vision_model_conv1_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1769600))))[name = tensor<string, []>("vision_model_conv1_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1781952))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2224384))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2236736))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2679168))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2691520))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3133952))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_0_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3146304))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3588736))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_0_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3601088))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5370624))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_0_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5419840))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7189376))))[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7201728))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7644160))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7656512))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8098944))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8111296))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8553728))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_1_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8566080))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9008512))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_1_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9020864))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(10790400))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_1_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(10839616))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12609152))))[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12621504))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13063936))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13076288))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13518720))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13531072))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13973504))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_2_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13985856))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14428288))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_2_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14440640))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16210176))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_2_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16259392))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18028928))))[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18041280))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18483712))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18496064))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18938496))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18950848))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19393280))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_3_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19405632))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19848064))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_3_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19860416))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21629952))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_3_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21679168))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23448704))))[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23461056))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23903488))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23915840))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24358272))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24370624))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24813056))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_4_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24825408))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(25267840))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_4_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(25280192))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27049728))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_4_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27098944))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(28868480))))[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(28880832))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29323264))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29335616))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29778048))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29790400))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30232832))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_5_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30245184))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30687616))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_5_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30699968))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(32469504))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_5_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(32518720))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34288256))))[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34300608))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34743040))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34755392))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35197824))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35210176))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35652608))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_6_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35664960))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(36107392))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_6_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(36119744))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37889280))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_6_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37938496))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39708032))))[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39720384))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40162816))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40175168))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40617600))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40629952))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41072384))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_7_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41084736))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41527168))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_7_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41539520))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43309056))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_7_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43358272))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45127808))))[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45140160))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45582592))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45594944))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46037376))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46049728))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46492160))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_8_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46504512))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46946944))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_8_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46959296))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48728832))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_8_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48778048))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50547584))))[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50559936))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51002368))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51014720))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51457152))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51469504))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51911936))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_9_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51924288))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52366720))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_9_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52379072))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54148608))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_9_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54197824))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55967360))))[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55979712))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56422144))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56434496))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56876928))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56889280))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57331712))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_10_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57344064))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57786496))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_10_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57798848))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59568384))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_10_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59617600))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61387136))))[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_query_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61399488))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61841920))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_query_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_key_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61854272))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62296704))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_key_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_value_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62309056))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62751488))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_value_weight_cast_fp16")];
            tensor<fp16, [768, 768, 1, 1]> vision_model_transformer_resblocks_11_attn_out_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62763840))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63206272))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_out_proj_weight_cast_fp16")];
            tensor<fp16, [3072, 768, 1, 1]> vision_model_transformer_resblocks_11_mlp_c_fc_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [3072, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63218624))), lut = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64988160))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_fc_weight_cast_fp16")];
            tensor<fp16, [768, 3072, 1, 1]> vision_model_transformer_resblocks_11_mlp_c_proj_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [768, 3072, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(65037376))), lut = tensor<fp16, [96, 1, 1, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(66806912))))[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_proj_weight_cast_fp16")];
            tensor<fp16, [512, 768]> vision_proj_0_weight_cast_fp16 = constexpr_lut_to_dense(indices = tensor<uint6, [512, 768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(66819264))), lut = tensor<fp16, [64, 1, 64, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67114240))))[name = tensor<string, []>("vision_proj_0_weight_cast_fp16")];
            tensor<int32, []> var_15 = const()[name = tensor<string, []>("op_15"), val = tensor<int32, []>(1)];
            tensor<int32, [2]> var_28 = const()[name = tensor<string, []>("op_28"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_30 = const()[name = tensor<string, []>("op_30"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_3_pad_type_0 = const()[name = tensor<string, []>("x_3_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_3_pad_0 = const()[name = tensor<string, []>("x_3_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [16, 768, 11, 11]> x_3_cast_fp16 = conv(dilations = var_30, groups = var_15, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = var_28, weight = vision_model_conv1_weight_cast_fp16, x = input)[name = tensor<string, []>("x_3_cast_fp16")];
            tensor<int32, [3]> var_35 = const()[name = tensor<string, []>("op_35"), val = tensor<int32, [3]>([16, 768, -1])];
            tensor<fp16, [16, 768, 121]> x_5_cast_fp16 = reshape(shape = var_35, x = x_3_cast_fp16)[name = tensor<string, []>("x_5_cast_fp16")];
            tensor<bool, []> x_9_interleave_0 = const()[name = tensor<string, []>("x_9_interleave_0"), val = tensor<bool, []>(false)];
            tensor<int32, []> const_80 = const()[name = tensor<string, []>("const_80"), val = tensor<int32, []>(2)];
            tensor<fp16, [16, 768, 1]> const_79_to_fp16 = const()[name = tensor<string, []>("const_79_to_fp16"), val = tensor<fp16, [16, 768, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67122496)))];
            tensor<fp16, [16, 768, 122]> x_9_cast_fp16 = concat(axis = const_80, interleave = x_9_interleave_0, values = (const_79_to_fp16, x_5_cast_fp16))[name = tensor<string, []>("x_9_cast_fp16")];
            tensor<fp16, [1, 768, 122]> const_81_to_fp16 = const()[name = tensor<string, []>("const_81_to_fp16"), val = tensor<fp16, [1, 768, 122]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67147136)))];
            tensor<fp16, [16, 768, 122]> inputs_1_cast_fp16 = add(x = x_9_cast_fp16, y = const_81_to_fp16)[name = tensor<string, []>("inputs_1_cast_fp16")];
            tensor<int32, [1]> inputs_3_axes_0 = const()[name = tensor<string, []>("inputs_3_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<fp16, [16, 768, 1, 122]> inputs_3_cast_fp16 = expand_dims(axes = inputs_3_axes_0, x = inputs_1_cast_fp16)[name = tensor<string, []>("inputs_3_cast_fp16")];
            tensor<int32, [1]> out_1_axes_0 = const()[name = tensor<string, []>("out_1_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_59_to_fp16 = const()[name = tensor<string, []>("op_59_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_1_cast_fp16 = layer_norm(axes = out_1_axes_0, epsilon = var_59_to_fp16, x = inputs_3_cast_fp16)[name = tensor<string, []>("out_1_cast_fp16")];
            tensor<fp16, [768]> inputs_5_mean_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_mean_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67334592)))];
            tensor<fp16, [768]> inputs_5_variance_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_variance_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67336192)))];
            tensor<fp16, [768]> inputs_5_gamma_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67337792)))];
            tensor<fp16, [768]> inputs_5_beta_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67339392)))];
            tensor<fp16, []> inputs_5_epsilon_0_to_fp16 = const()[name = tensor<string, []>("inputs_5_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> inputs_5_cast_fp16 = batch_norm(beta = inputs_5_beta_0_to_fp16, epsilon = inputs_5_epsilon_0_to_fp16, gamma = inputs_5_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_1_cast_fp16)[name = tensor<string, []>("inputs_5_cast_fp16")];
            tensor<int32, [1]> out_3_axes_0 = const()[name = tensor<string, []>("out_3_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_109_to_fp16 = const()[name = tensor<string, []>("op_109_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_3_cast_fp16 = layer_norm(axes = out_3_axes_0, epsilon = var_109_to_fp16, x = inputs_5_cast_fp16)[name = tensor<string, []>("out_3_cast_fp16")];
            tensor<fp16, [768]> query_1_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_1_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67340992)))];
            tensor<fp16, [768]> query_1_beta_0_to_fp16 = const()[name = tensor<string, []>("query_1_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67342592)))];
            tensor<fp16, []> query_1_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_1_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_1_cast_fp16 = batch_norm(beta = query_1_beta_0_to_fp16, epsilon = query_1_epsilon_0_to_fp16, gamma = query_1_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_3_cast_fp16)[name = tensor<string, []>("query_1_cast_fp16")];
            tensor<int32, [2]> var_125 = const()[name = tensor<string, []>("op_125"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_127 = const()[name = tensor<string, []>("op_127"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_129_pad_type_0 = const()[name = tensor<string, []>("op_129_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_129_pad_0 = const()[name = tensor<string, []>("op_129_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67344192)))];
            tensor<fp16, [16, 768, 1, 122]> var_129_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_query_bias_to_fp16, dilations = var_127, groups = var_15, pad = var_129_pad_0, pad_type = var_129_pad_type_0, strides = var_125, weight = vision_model_transformer_resblocks_0_attn_query_weight_cast_fp16, x = query_1_cast_fp16)[name = tensor<string, []>("op_129_cast_fp16")];
            tensor<int32, [2]> var_132 = const()[name = tensor<string, []>("op_132"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_134 = const()[name = tensor<string, []>("op_134"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_1_pad_type_0 = const()[name = tensor<string, []>("k_1_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_1_pad_0 = const()[name = tensor<string, []>("k_1_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67345792)))];
            tensor<fp16, [16, 768, 1, 122]> k_1_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_key_bias_to_fp16, dilations = var_134, groups = var_15, pad = k_1_pad_0, pad_type = k_1_pad_type_0, strides = var_132, weight = vision_model_transformer_resblocks_0_attn_key_weight_cast_fp16, x = query_1_cast_fp16)[name = tensor<string, []>("k_1_cast_fp16")];
            tensor<int32, [2]> var_139 = const()[name = tensor<string, []>("op_139"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_141 = const()[name = tensor<string, []>("op_141"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_143_pad_type_0 = const()[name = tensor<string, []>("op_143_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_143_pad_0 = const()[name = tensor<string, []>("op_143_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67347392)))];
            tensor<fp16, [16, 768, 1, 122]> var_143_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_value_bias_to_fp16, dilations = var_141, groups = var_15, pad = var_143_pad_0, pad_type = var_143_pad_type_0, strides = var_139, weight = vision_model_transformer_resblocks_0_attn_value_weight_cast_fp16, x = query_1_cast_fp16)[name = tensor<string, []>("op_143_cast_fp16")];
            tensor<int32, [12]> tile_0 = const()[name = tensor<string, []>("tile_0"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_144_axis_0 = const()[name = tensor<string, []>("op_144_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_144_cast_fp16_11 = split(axis = var_144_axis_0, split_sizes = tile_0, x = var_129_cast_fp16)[name = tensor<string, []>("op_144_cast_fp16")];
            tensor<int32, [4]> var_157_perm_0 = const()[name = tensor<string, []>("op_157_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_1 = const()[name = tensor<string, []>("tile_1"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_158_axis_0 = const()[name = tensor<string, []>("op_158_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_13 = transpose(perm = var_157_perm_0, x = k_1_cast_fp16)[name = tensor<string, []>("transpose_13")];
            tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_158_cast_fp16_11 = split(axis = var_158_axis_0, split_sizes = tile_1, x = transpose_13)[name = tensor<string, []>("op_158_cast_fp16")];
            tensor<int32, [12]> tile_2 = const()[name = tensor<string, []>("tile_2"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_171_axis_0 = const()[name = tensor<string, []>("op_171_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_171_cast_fp16_11 = split(axis = var_171_axis_0, split_sizes = tile_2, x = var_143_cast_fp16)[name = tensor<string, []>("op_171_cast_fp16")];
            tensor<string, []> var_185_equation_0 = const()[name = tensor<string, []>("op_185_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_185_cast_fp16 = einsum(equation = var_185_equation_0, values = (var_158_cast_fp16_0, var_144_cast_fp16_0))[name = tensor<string, []>("op_185_cast_fp16")];
            tensor<fp16, []> var_186_to_fp16 = const()[name = tensor<string, []>("op_186_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_1_cast_fp16 = mul(x = var_185_cast_fp16, y = var_186_to_fp16)[name = tensor<string, []>("aw_1_cast_fp16")];
            tensor<string, []> var_189_equation_0 = const()[name = tensor<string, []>("op_189_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_189_cast_fp16 = einsum(equation = var_189_equation_0, values = (var_158_cast_fp16_1, var_144_cast_fp16_1))[name = tensor<string, []>("op_189_cast_fp16")];
            tensor<fp16, []> var_190_to_fp16 = const()[name = tensor<string, []>("op_190_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_3_cast_fp16 = mul(x = var_189_cast_fp16, y = var_190_to_fp16)[name = tensor<string, []>("aw_3_cast_fp16")];
            tensor<string, []> var_193_equation_0 = const()[name = tensor<string, []>("op_193_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_193_cast_fp16 = einsum(equation = var_193_equation_0, values = (var_158_cast_fp16_2, var_144_cast_fp16_2))[name = tensor<string, []>("op_193_cast_fp16")];
            tensor<fp16, []> var_194_to_fp16 = const()[name = tensor<string, []>("op_194_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_5_cast_fp16 = mul(x = var_193_cast_fp16, y = var_194_to_fp16)[name = tensor<string, []>("aw_5_cast_fp16")];
            tensor<string, []> var_197_equation_0 = const()[name = tensor<string, []>("op_197_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_197_cast_fp16 = einsum(equation = var_197_equation_0, values = (var_158_cast_fp16_3, var_144_cast_fp16_3))[name = tensor<string, []>("op_197_cast_fp16")];
            tensor<fp16, []> var_198_to_fp16 = const()[name = tensor<string, []>("op_198_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_7_cast_fp16 = mul(x = var_197_cast_fp16, y = var_198_to_fp16)[name = tensor<string, []>("aw_7_cast_fp16")];
            tensor<string, []> var_201_equation_0 = const()[name = tensor<string, []>("op_201_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_201_cast_fp16 = einsum(equation = var_201_equation_0, values = (var_158_cast_fp16_4, var_144_cast_fp16_4))[name = tensor<string, []>("op_201_cast_fp16")];
            tensor<fp16, []> var_202_to_fp16 = const()[name = tensor<string, []>("op_202_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_9_cast_fp16 = mul(x = var_201_cast_fp16, y = var_202_to_fp16)[name = tensor<string, []>("aw_9_cast_fp16")];
            tensor<string, []> var_205_equation_0 = const()[name = tensor<string, []>("op_205_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_205_cast_fp16 = einsum(equation = var_205_equation_0, values = (var_158_cast_fp16_5, var_144_cast_fp16_5))[name = tensor<string, []>("op_205_cast_fp16")];
            tensor<fp16, []> var_206_to_fp16 = const()[name = tensor<string, []>("op_206_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_11_cast_fp16 = mul(x = var_205_cast_fp16, y = var_206_to_fp16)[name = tensor<string, []>("aw_11_cast_fp16")];
            tensor<string, []> var_209_equation_0 = const()[name = tensor<string, []>("op_209_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_209_cast_fp16 = einsum(equation = var_209_equation_0, values = (var_158_cast_fp16_6, var_144_cast_fp16_6))[name = tensor<string, []>("op_209_cast_fp16")];
            tensor<fp16, []> var_210_to_fp16 = const()[name = tensor<string, []>("op_210_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_13_cast_fp16 = mul(x = var_209_cast_fp16, y = var_210_to_fp16)[name = tensor<string, []>("aw_13_cast_fp16")];
            tensor<string, []> var_213_equation_0 = const()[name = tensor<string, []>("op_213_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_213_cast_fp16 = einsum(equation = var_213_equation_0, values = (var_158_cast_fp16_7, var_144_cast_fp16_7))[name = tensor<string, []>("op_213_cast_fp16")];
            tensor<fp16, []> var_214_to_fp16 = const()[name = tensor<string, []>("op_214_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_15_cast_fp16 = mul(x = var_213_cast_fp16, y = var_214_to_fp16)[name = tensor<string, []>("aw_15_cast_fp16")];
            tensor<string, []> var_217_equation_0 = const()[name = tensor<string, []>("op_217_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_217_cast_fp16 = einsum(equation = var_217_equation_0, values = (var_158_cast_fp16_8, var_144_cast_fp16_8))[name = tensor<string, []>("op_217_cast_fp16")];
            tensor<fp16, []> var_218_to_fp16 = const()[name = tensor<string, []>("op_218_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_17_cast_fp16 = mul(x = var_217_cast_fp16, y = var_218_to_fp16)[name = tensor<string, []>("aw_17_cast_fp16")];
            tensor<string, []> var_221_equation_0 = const()[name = tensor<string, []>("op_221_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_221_cast_fp16 = einsum(equation = var_221_equation_0, values = (var_158_cast_fp16_9, var_144_cast_fp16_9))[name = tensor<string, []>("op_221_cast_fp16")];
            tensor<fp16, []> var_222_to_fp16 = const()[name = tensor<string, []>("op_222_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_19_cast_fp16 = mul(x = var_221_cast_fp16, y = var_222_to_fp16)[name = tensor<string, []>("aw_19_cast_fp16")];
            tensor<string, []> var_225_equation_0 = const()[name = tensor<string, []>("op_225_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_225_cast_fp16 = einsum(equation = var_225_equation_0, values = (var_158_cast_fp16_10, var_144_cast_fp16_10))[name = tensor<string, []>("op_225_cast_fp16")];
            tensor<fp16, []> var_226_to_fp16 = const()[name = tensor<string, []>("op_226_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_21_cast_fp16 = mul(x = var_225_cast_fp16, y = var_226_to_fp16)[name = tensor<string, []>("aw_21_cast_fp16")];
            tensor<string, []> var_229_equation_0 = const()[name = tensor<string, []>("op_229_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_229_cast_fp16 = einsum(equation = var_229_equation_0, values = (var_158_cast_fp16_11, var_144_cast_fp16_11))[name = tensor<string, []>("op_229_cast_fp16")];
            tensor<fp16, []> var_230_to_fp16 = const()[name = tensor<string, []>("op_230_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_23_cast_fp16 = mul(x = var_229_cast_fp16, y = var_230_to_fp16)[name = tensor<string, []>("aw_23_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_232_cast_fp16 = softmax(axis = var_15, x = aw_1_cast_fp16)[name = tensor<string, []>("op_232_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_233_cast_fp16 = softmax(axis = var_15, x = aw_3_cast_fp16)[name = tensor<string, []>("op_233_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_234_cast_fp16 = softmax(axis = var_15, x = aw_5_cast_fp16)[name = tensor<string, []>("op_234_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_235_cast_fp16 = softmax(axis = var_15, x = aw_7_cast_fp16)[name = tensor<string, []>("op_235_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_236_cast_fp16 = softmax(axis = var_15, x = aw_9_cast_fp16)[name = tensor<string, []>("op_236_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_237_cast_fp16 = softmax(axis = var_15, x = aw_11_cast_fp16)[name = tensor<string, []>("op_237_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_238_cast_fp16 = softmax(axis = var_15, x = aw_13_cast_fp16)[name = tensor<string, []>("op_238_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_239_cast_fp16 = softmax(axis = var_15, x = aw_15_cast_fp16)[name = tensor<string, []>("op_239_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_240_cast_fp16 = softmax(axis = var_15, x = aw_17_cast_fp16)[name = tensor<string, []>("op_240_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_241_cast_fp16 = softmax(axis = var_15, x = aw_19_cast_fp16)[name = tensor<string, []>("op_241_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_242_cast_fp16 = softmax(axis = var_15, x = aw_21_cast_fp16)[name = tensor<string, []>("op_242_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_243_cast_fp16 = softmax(axis = var_15, x = aw_23_cast_fp16)[name = tensor<string, []>("op_243_cast_fp16")];
            tensor<string, []> var_245_equation_0 = const()[name = tensor<string, []>("op_245_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_245_cast_fp16 = einsum(equation = var_245_equation_0, values = (var_171_cast_fp16_0, var_232_cast_fp16))[name = tensor<string, []>("op_245_cast_fp16")];
            tensor<string, []> var_247_equation_0 = const()[name = tensor<string, []>("op_247_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_247_cast_fp16 = einsum(equation = var_247_equation_0, values = (var_171_cast_fp16_1, var_233_cast_fp16))[name = tensor<string, []>("op_247_cast_fp16")];
            tensor<string, []> var_249_equation_0 = const()[name = tensor<string, []>("op_249_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_249_cast_fp16 = einsum(equation = var_249_equation_0, values = (var_171_cast_fp16_2, var_234_cast_fp16))[name = tensor<string, []>("op_249_cast_fp16")];
            tensor<string, []> var_251_equation_0 = const()[name = tensor<string, []>("op_251_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_251_cast_fp16 = einsum(equation = var_251_equation_0, values = (var_171_cast_fp16_3, var_235_cast_fp16))[name = tensor<string, []>("op_251_cast_fp16")];
            tensor<string, []> var_253_equation_0 = const()[name = tensor<string, []>("op_253_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_253_cast_fp16 = einsum(equation = var_253_equation_0, values = (var_171_cast_fp16_4, var_236_cast_fp16))[name = tensor<string, []>("op_253_cast_fp16")];
            tensor<string, []> var_255_equation_0 = const()[name = tensor<string, []>("op_255_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_255_cast_fp16 = einsum(equation = var_255_equation_0, values = (var_171_cast_fp16_5, var_237_cast_fp16))[name = tensor<string, []>("op_255_cast_fp16")];
            tensor<string, []> var_257_equation_0 = const()[name = tensor<string, []>("op_257_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_257_cast_fp16 = einsum(equation = var_257_equation_0, values = (var_171_cast_fp16_6, var_238_cast_fp16))[name = tensor<string, []>("op_257_cast_fp16")];
            tensor<string, []> var_259_equation_0 = const()[name = tensor<string, []>("op_259_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_259_cast_fp16 = einsum(equation = var_259_equation_0, values = (var_171_cast_fp16_7, var_239_cast_fp16))[name = tensor<string, []>("op_259_cast_fp16")];
            tensor<string, []> var_261_equation_0 = const()[name = tensor<string, []>("op_261_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_261_cast_fp16 = einsum(equation = var_261_equation_0, values = (var_171_cast_fp16_8, var_240_cast_fp16))[name = tensor<string, []>("op_261_cast_fp16")];
            tensor<string, []> var_263_equation_0 = const()[name = tensor<string, []>("op_263_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_263_cast_fp16 = einsum(equation = var_263_equation_0, values = (var_171_cast_fp16_9, var_241_cast_fp16))[name = tensor<string, []>("op_263_cast_fp16")];
            tensor<string, []> var_265_equation_0 = const()[name = tensor<string, []>("op_265_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_265_cast_fp16 = einsum(equation = var_265_equation_0, values = (var_171_cast_fp16_10, var_242_cast_fp16))[name = tensor<string, []>("op_265_cast_fp16")];
            tensor<string, []> var_267_equation_0 = const()[name = tensor<string, []>("op_267_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_267_cast_fp16 = einsum(equation = var_267_equation_0, values = (var_171_cast_fp16_11, var_243_cast_fp16))[name = tensor<string, []>("op_267_cast_fp16")];
            tensor<bool, []> input_1_interleave_0 = const()[name = tensor<string, []>("input_1_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_1_cast_fp16 = concat(axis = var_15, interleave = input_1_interleave_0, values = (var_245_cast_fp16, var_247_cast_fp16, var_249_cast_fp16, var_251_cast_fp16, var_253_cast_fp16, var_255_cast_fp16, var_257_cast_fp16, var_259_cast_fp16, var_261_cast_fp16, var_263_cast_fp16, var_265_cast_fp16, var_267_cast_fp16))[name = tensor<string, []>("input_1_cast_fp16")];
            tensor<int32, [2]> var_272 = const()[name = tensor<string, []>("op_272"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_274 = const()[name = tensor<string, []>("op_274"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_276_pad_type_0 = const()[name = tensor<string, []>("op_276_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_276_pad_0 = const()[name = tensor<string, []>("op_276_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67348992)))];
            tensor<fp16, [16, 768, 1, 122]> var_276_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_attn_out_proj_bias_to_fp16, dilations = var_274, groups = var_15, pad = var_276_pad_0, pad_type = var_276_pad_type_0, strides = var_272, weight = vision_model_transformer_resblocks_0_attn_out_proj_weight_cast_fp16, x = input_1_cast_fp16)[name = tensor<string, []>("op_276_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_7_cast_fp16 = add(x = inputs_5_cast_fp16, y = var_276_cast_fp16)[name = tensor<string, []>("inputs_7_cast_fp16")];
            tensor<int32, [1]> out_5_axes_0 = const()[name = tensor<string, []>("out_5_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_286_to_fp16 = const()[name = tensor<string, []>("op_286_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_5_cast_fp16 = layer_norm(axes = out_5_axes_0, epsilon = var_286_to_fp16, x = inputs_7_cast_fp16)[name = tensor<string, []>("out_5_cast_fp16")];
            tensor<fp16, [768]> input_3_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_3_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67350592)))];
            tensor<fp16, [768]> input_3_beta_0_to_fp16 = const()[name = tensor<string, []>("input_3_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67352192)))];
            tensor<fp16, []> input_3_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_3_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_3_cast_fp16 = batch_norm(beta = input_3_beta_0_to_fp16, epsilon = input_3_epsilon_0_to_fp16, gamma = input_3_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_5_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
            tensor<int32, [2]> var_300 = const()[name = tensor<string, []>("op_300"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_302 = const()[name = tensor<string, []>("op_302"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_11_pad_type_0 = const()[name = tensor<string, []>("x_11_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_11_pad_0 = const()[name = tensor<string, []>("x_11_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_0_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67353792)))];
            tensor<fp16, [16, 3072, 1, 122]> x_11_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_mlp_c_fc_bias_to_fp16, dilations = var_302, groups = var_15, pad = x_11_pad_0, pad_type = x_11_pad_type_0, strides = var_300, weight = vision_model_transformer_resblocks_0_mlp_c_fc_weight_cast_fp16, x = input_3_cast_fp16)[name = tensor<string, []>("x_11_cast_fp16")];
            tensor<fp16, []> var_305_to_fp16 = const()[name = tensor<string, []>("op_305_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_306_cast_fp16 = mul(x = x_11_cast_fp16, y = var_305_to_fp16)[name = tensor<string, []>("op_306_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_307_cast_fp16 = sigmoid(x = var_306_cast_fp16)[name = tensor<string, []>("op_307_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_5_cast_fp16 = mul(x = x_11_cast_fp16, y = var_307_cast_fp16)[name = tensor<string, []>("input_5_cast_fp16")];
            tensor<int32, [2]> var_311 = const()[name = tensor<string, []>("op_311"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_313 = const()[name = tensor<string, []>("op_313"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_315_pad_type_0 = const()[name = tensor<string, []>("op_315_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_315_pad_0 = const()[name = tensor<string, []>("op_315_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_0_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_0_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67360000)))];
            tensor<fp16, [16, 768, 1, 122]> var_315_cast_fp16 = conv(bias = vision_model_transformer_resblocks_0_mlp_c_proj_bias_to_fp16, dilations = var_313, groups = var_15, pad = var_315_pad_0, pad_type = var_315_pad_type_0, strides = var_311, weight = vision_model_transformer_resblocks_0_mlp_c_proj_weight_cast_fp16, x = input_5_cast_fp16)[name = tensor<string, []>("op_315_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_9_cast_fp16 = add(x = inputs_7_cast_fp16, y = var_315_cast_fp16)[name = tensor<string, []>("inputs_9_cast_fp16")];
            tensor<int32, [1]> out_7_axes_0 = const()[name = tensor<string, []>("out_7_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_329_to_fp16 = const()[name = tensor<string, []>("op_329_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_7_cast_fp16 = layer_norm(axes = out_7_axes_0, epsilon = var_329_to_fp16, x = inputs_9_cast_fp16)[name = tensor<string, []>("out_7_cast_fp16")];
            tensor<fp16, [768]> query_3_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_3_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67361600)))];
            tensor<fp16, [768]> query_3_beta_0_to_fp16 = const()[name = tensor<string, []>("query_3_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67363200)))];
            tensor<fp16, []> query_3_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_3_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_3_cast_fp16 = batch_norm(beta = query_3_beta_0_to_fp16, epsilon = query_3_epsilon_0_to_fp16, gamma = query_3_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_7_cast_fp16)[name = tensor<string, []>("query_3_cast_fp16")];
            tensor<int32, [2]> var_345 = const()[name = tensor<string, []>("op_345"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_347 = const()[name = tensor<string, []>("op_347"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_349_pad_type_0 = const()[name = tensor<string, []>("op_349_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_349_pad_0 = const()[name = tensor<string, []>("op_349_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67364800)))];
            tensor<fp16, [16, 768, 1, 122]> var_349_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_query_bias_to_fp16, dilations = var_347, groups = var_15, pad = var_349_pad_0, pad_type = var_349_pad_type_0, strides = var_345, weight = vision_model_transformer_resblocks_1_attn_query_weight_cast_fp16, x = query_3_cast_fp16)[name = tensor<string, []>("op_349_cast_fp16")];
            tensor<int32, [2]> var_352 = const()[name = tensor<string, []>("op_352"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_354 = const()[name = tensor<string, []>("op_354"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_3_pad_type_0 = const()[name = tensor<string, []>("k_3_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_3_pad_0 = const()[name = tensor<string, []>("k_3_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67366400)))];
            tensor<fp16, [16, 768, 1, 122]> k_3_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_key_bias_to_fp16, dilations = var_354, groups = var_15, pad = k_3_pad_0, pad_type = k_3_pad_type_0, strides = var_352, weight = vision_model_transformer_resblocks_1_attn_key_weight_cast_fp16, x = query_3_cast_fp16)[name = tensor<string, []>("k_3_cast_fp16")];
            tensor<int32, [2]> var_359 = const()[name = tensor<string, []>("op_359"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_361 = const()[name = tensor<string, []>("op_361"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_363_pad_type_0 = const()[name = tensor<string, []>("op_363_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_363_pad_0 = const()[name = tensor<string, []>("op_363_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67368000)))];
            tensor<fp16, [16, 768, 1, 122]> var_363_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_value_bias_to_fp16, dilations = var_361, groups = var_15, pad = var_363_pad_0, pad_type = var_363_pad_type_0, strides = var_359, weight = vision_model_transformer_resblocks_1_attn_value_weight_cast_fp16, x = query_3_cast_fp16)[name = tensor<string, []>("op_363_cast_fp16")];
            tensor<int32, [12]> tile_3 = const()[name = tensor<string, []>("tile_3"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_364_axis_0 = const()[name = tensor<string, []>("op_364_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_364_cast_fp16_11 = split(axis = var_364_axis_0, split_sizes = tile_3, x = var_349_cast_fp16)[name = tensor<string, []>("op_364_cast_fp16")];
            tensor<int32, [4]> var_377_perm_0 = const()[name = tensor<string, []>("op_377_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_4 = const()[name = tensor<string, []>("tile_4"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_378_axis_0 = const()[name = tensor<string, []>("op_378_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_12 = transpose(perm = var_377_perm_0, x = k_3_cast_fp16)[name = tensor<string, []>("transpose_12")];
            tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_378_cast_fp16_11 = split(axis = var_378_axis_0, split_sizes = tile_4, x = transpose_12)[name = tensor<string, []>("op_378_cast_fp16")];
            tensor<int32, [12]> tile_5 = const()[name = tensor<string, []>("tile_5"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_391_axis_0 = const()[name = tensor<string, []>("op_391_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_391_cast_fp16_11 = split(axis = var_391_axis_0, split_sizes = tile_5, x = var_363_cast_fp16)[name = tensor<string, []>("op_391_cast_fp16")];
            tensor<string, []> var_405_equation_0 = const()[name = tensor<string, []>("op_405_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_405_cast_fp16 = einsum(equation = var_405_equation_0, values = (var_378_cast_fp16_0, var_364_cast_fp16_0))[name = tensor<string, []>("op_405_cast_fp16")];
            tensor<fp16, []> var_406_to_fp16 = const()[name = tensor<string, []>("op_406_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_25_cast_fp16 = mul(x = var_405_cast_fp16, y = var_406_to_fp16)[name = tensor<string, []>("aw_25_cast_fp16")];
            tensor<string, []> var_409_equation_0 = const()[name = tensor<string, []>("op_409_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_409_cast_fp16 = einsum(equation = var_409_equation_0, values = (var_378_cast_fp16_1, var_364_cast_fp16_1))[name = tensor<string, []>("op_409_cast_fp16")];
            tensor<fp16, []> var_410_to_fp16 = const()[name = tensor<string, []>("op_410_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_27_cast_fp16 = mul(x = var_409_cast_fp16, y = var_410_to_fp16)[name = tensor<string, []>("aw_27_cast_fp16")];
            tensor<string, []> var_413_equation_0 = const()[name = tensor<string, []>("op_413_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_413_cast_fp16 = einsum(equation = var_413_equation_0, values = (var_378_cast_fp16_2, var_364_cast_fp16_2))[name = tensor<string, []>("op_413_cast_fp16")];
            tensor<fp16, []> var_414_to_fp16 = const()[name = tensor<string, []>("op_414_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_29_cast_fp16 = mul(x = var_413_cast_fp16, y = var_414_to_fp16)[name = tensor<string, []>("aw_29_cast_fp16")];
            tensor<string, []> var_417_equation_0 = const()[name = tensor<string, []>("op_417_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_417_cast_fp16 = einsum(equation = var_417_equation_0, values = (var_378_cast_fp16_3, var_364_cast_fp16_3))[name = tensor<string, []>("op_417_cast_fp16")];
            tensor<fp16, []> var_418_to_fp16 = const()[name = tensor<string, []>("op_418_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_31_cast_fp16 = mul(x = var_417_cast_fp16, y = var_418_to_fp16)[name = tensor<string, []>("aw_31_cast_fp16")];
            tensor<string, []> var_421_equation_0 = const()[name = tensor<string, []>("op_421_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_421_cast_fp16 = einsum(equation = var_421_equation_0, values = (var_378_cast_fp16_4, var_364_cast_fp16_4))[name = tensor<string, []>("op_421_cast_fp16")];
            tensor<fp16, []> var_422_to_fp16 = const()[name = tensor<string, []>("op_422_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_33_cast_fp16 = mul(x = var_421_cast_fp16, y = var_422_to_fp16)[name = tensor<string, []>("aw_33_cast_fp16")];
            tensor<string, []> var_425_equation_0 = const()[name = tensor<string, []>("op_425_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_425_cast_fp16 = einsum(equation = var_425_equation_0, values = (var_378_cast_fp16_5, var_364_cast_fp16_5))[name = tensor<string, []>("op_425_cast_fp16")];
            tensor<fp16, []> var_426_to_fp16 = const()[name = tensor<string, []>("op_426_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_35_cast_fp16 = mul(x = var_425_cast_fp16, y = var_426_to_fp16)[name = tensor<string, []>("aw_35_cast_fp16")];
            tensor<string, []> var_429_equation_0 = const()[name = tensor<string, []>("op_429_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_429_cast_fp16 = einsum(equation = var_429_equation_0, values = (var_378_cast_fp16_6, var_364_cast_fp16_6))[name = tensor<string, []>("op_429_cast_fp16")];
            tensor<fp16, []> var_430_to_fp16 = const()[name = tensor<string, []>("op_430_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_37_cast_fp16 = mul(x = var_429_cast_fp16, y = var_430_to_fp16)[name = tensor<string, []>("aw_37_cast_fp16")];
            tensor<string, []> var_433_equation_0 = const()[name = tensor<string, []>("op_433_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_433_cast_fp16 = einsum(equation = var_433_equation_0, values = (var_378_cast_fp16_7, var_364_cast_fp16_7))[name = tensor<string, []>("op_433_cast_fp16")];
            tensor<fp16, []> var_434_to_fp16 = const()[name = tensor<string, []>("op_434_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_39_cast_fp16 = mul(x = var_433_cast_fp16, y = var_434_to_fp16)[name = tensor<string, []>("aw_39_cast_fp16")];
            tensor<string, []> var_437_equation_0 = const()[name = tensor<string, []>("op_437_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_437_cast_fp16 = einsum(equation = var_437_equation_0, values = (var_378_cast_fp16_8, var_364_cast_fp16_8))[name = tensor<string, []>("op_437_cast_fp16")];
            tensor<fp16, []> var_438_to_fp16 = const()[name = tensor<string, []>("op_438_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_41_cast_fp16 = mul(x = var_437_cast_fp16, y = var_438_to_fp16)[name = tensor<string, []>("aw_41_cast_fp16")];
            tensor<string, []> var_441_equation_0 = const()[name = tensor<string, []>("op_441_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_441_cast_fp16 = einsum(equation = var_441_equation_0, values = (var_378_cast_fp16_9, var_364_cast_fp16_9))[name = tensor<string, []>("op_441_cast_fp16")];
            tensor<fp16, []> var_442_to_fp16 = const()[name = tensor<string, []>("op_442_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_43_cast_fp16 = mul(x = var_441_cast_fp16, y = var_442_to_fp16)[name = tensor<string, []>("aw_43_cast_fp16")];
            tensor<string, []> var_445_equation_0 = const()[name = tensor<string, []>("op_445_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_445_cast_fp16 = einsum(equation = var_445_equation_0, values = (var_378_cast_fp16_10, var_364_cast_fp16_10))[name = tensor<string, []>("op_445_cast_fp16")];
            tensor<fp16, []> var_446_to_fp16 = const()[name = tensor<string, []>("op_446_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_45_cast_fp16 = mul(x = var_445_cast_fp16, y = var_446_to_fp16)[name = tensor<string, []>("aw_45_cast_fp16")];
            tensor<string, []> var_449_equation_0 = const()[name = tensor<string, []>("op_449_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_449_cast_fp16 = einsum(equation = var_449_equation_0, values = (var_378_cast_fp16_11, var_364_cast_fp16_11))[name = tensor<string, []>("op_449_cast_fp16")];
            tensor<fp16, []> var_450_to_fp16 = const()[name = tensor<string, []>("op_450_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_47_cast_fp16 = mul(x = var_449_cast_fp16, y = var_450_to_fp16)[name = tensor<string, []>("aw_47_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_452_cast_fp16 = softmax(axis = var_15, x = aw_25_cast_fp16)[name = tensor<string, []>("op_452_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_453_cast_fp16 = softmax(axis = var_15, x = aw_27_cast_fp16)[name = tensor<string, []>("op_453_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_454_cast_fp16 = softmax(axis = var_15, x = aw_29_cast_fp16)[name = tensor<string, []>("op_454_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_455_cast_fp16 = softmax(axis = var_15, x = aw_31_cast_fp16)[name = tensor<string, []>("op_455_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_456_cast_fp16 = softmax(axis = var_15, x = aw_33_cast_fp16)[name = tensor<string, []>("op_456_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_457_cast_fp16 = softmax(axis = var_15, x = aw_35_cast_fp16)[name = tensor<string, []>("op_457_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_458_cast_fp16 = softmax(axis = var_15, x = aw_37_cast_fp16)[name = tensor<string, []>("op_458_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_459_cast_fp16 = softmax(axis = var_15, x = aw_39_cast_fp16)[name = tensor<string, []>("op_459_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_460_cast_fp16 = softmax(axis = var_15, x = aw_41_cast_fp16)[name = tensor<string, []>("op_460_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_461_cast_fp16 = softmax(axis = var_15, x = aw_43_cast_fp16)[name = tensor<string, []>("op_461_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_462_cast_fp16 = softmax(axis = var_15, x = aw_45_cast_fp16)[name = tensor<string, []>("op_462_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_463_cast_fp16 = softmax(axis = var_15, x = aw_47_cast_fp16)[name = tensor<string, []>("op_463_cast_fp16")];
            tensor<string, []> var_465_equation_0 = const()[name = tensor<string, []>("op_465_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_465_cast_fp16 = einsum(equation = var_465_equation_0, values = (var_391_cast_fp16_0, var_452_cast_fp16))[name = tensor<string, []>("op_465_cast_fp16")];
            tensor<string, []> var_467_equation_0 = const()[name = tensor<string, []>("op_467_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_467_cast_fp16 = einsum(equation = var_467_equation_0, values = (var_391_cast_fp16_1, var_453_cast_fp16))[name = tensor<string, []>("op_467_cast_fp16")];
            tensor<string, []> var_469_equation_0 = const()[name = tensor<string, []>("op_469_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_469_cast_fp16 = einsum(equation = var_469_equation_0, values = (var_391_cast_fp16_2, var_454_cast_fp16))[name = tensor<string, []>("op_469_cast_fp16")];
            tensor<string, []> var_471_equation_0 = const()[name = tensor<string, []>("op_471_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_471_cast_fp16 = einsum(equation = var_471_equation_0, values = (var_391_cast_fp16_3, var_455_cast_fp16))[name = tensor<string, []>("op_471_cast_fp16")];
            tensor<string, []> var_473_equation_0 = const()[name = tensor<string, []>("op_473_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_473_cast_fp16 = einsum(equation = var_473_equation_0, values = (var_391_cast_fp16_4, var_456_cast_fp16))[name = tensor<string, []>("op_473_cast_fp16")];
            tensor<string, []> var_475_equation_0 = const()[name = tensor<string, []>("op_475_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_475_cast_fp16 = einsum(equation = var_475_equation_0, values = (var_391_cast_fp16_5, var_457_cast_fp16))[name = tensor<string, []>("op_475_cast_fp16")];
            tensor<string, []> var_477_equation_0 = const()[name = tensor<string, []>("op_477_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_477_cast_fp16 = einsum(equation = var_477_equation_0, values = (var_391_cast_fp16_6, var_458_cast_fp16))[name = tensor<string, []>("op_477_cast_fp16")];
            tensor<string, []> var_479_equation_0 = const()[name = tensor<string, []>("op_479_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_479_cast_fp16 = einsum(equation = var_479_equation_0, values = (var_391_cast_fp16_7, var_459_cast_fp16))[name = tensor<string, []>("op_479_cast_fp16")];
            tensor<string, []> var_481_equation_0 = const()[name = tensor<string, []>("op_481_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_481_cast_fp16 = einsum(equation = var_481_equation_0, values = (var_391_cast_fp16_8, var_460_cast_fp16))[name = tensor<string, []>("op_481_cast_fp16")];
            tensor<string, []> var_483_equation_0 = const()[name = tensor<string, []>("op_483_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_483_cast_fp16 = einsum(equation = var_483_equation_0, values = (var_391_cast_fp16_9, var_461_cast_fp16))[name = tensor<string, []>("op_483_cast_fp16")];
            tensor<string, []> var_485_equation_0 = const()[name = tensor<string, []>("op_485_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_485_cast_fp16 = einsum(equation = var_485_equation_0, values = (var_391_cast_fp16_10, var_462_cast_fp16))[name = tensor<string, []>("op_485_cast_fp16")];
            tensor<string, []> var_487_equation_0 = const()[name = tensor<string, []>("op_487_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_487_cast_fp16 = einsum(equation = var_487_equation_0, values = (var_391_cast_fp16_11, var_463_cast_fp16))[name = tensor<string, []>("op_487_cast_fp16")];
            tensor<bool, []> input_7_interleave_0 = const()[name = tensor<string, []>("input_7_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_7_cast_fp16 = concat(axis = var_15, interleave = input_7_interleave_0, values = (var_465_cast_fp16, var_467_cast_fp16, var_469_cast_fp16, var_471_cast_fp16, var_473_cast_fp16, var_475_cast_fp16, var_477_cast_fp16, var_479_cast_fp16, var_481_cast_fp16, var_483_cast_fp16, var_485_cast_fp16, var_487_cast_fp16))[name = tensor<string, []>("input_7_cast_fp16")];
            tensor<int32, [2]> var_492 = const()[name = tensor<string, []>("op_492"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_494 = const()[name = tensor<string, []>("op_494"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_496_pad_type_0 = const()[name = tensor<string, []>("op_496_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_496_pad_0 = const()[name = tensor<string, []>("op_496_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67369600)))];
            tensor<fp16, [16, 768, 1, 122]> var_496_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_attn_out_proj_bias_to_fp16, dilations = var_494, groups = var_15, pad = var_496_pad_0, pad_type = var_496_pad_type_0, strides = var_492, weight = vision_model_transformer_resblocks_1_attn_out_proj_weight_cast_fp16, x = input_7_cast_fp16)[name = tensor<string, []>("op_496_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_11_cast_fp16 = add(x = inputs_9_cast_fp16, y = var_496_cast_fp16)[name = tensor<string, []>("inputs_11_cast_fp16")];
            tensor<int32, [1]> out_9_axes_0 = const()[name = tensor<string, []>("out_9_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_506_to_fp16 = const()[name = tensor<string, []>("op_506_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_9_cast_fp16 = layer_norm(axes = out_9_axes_0, epsilon = var_506_to_fp16, x = inputs_11_cast_fp16)[name = tensor<string, []>("out_9_cast_fp16")];
            tensor<fp16, [768]> input_9_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_9_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67371200)))];
            tensor<fp16, [768]> input_9_beta_0_to_fp16 = const()[name = tensor<string, []>("input_9_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67372800)))];
            tensor<fp16, []> input_9_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_9_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_9_cast_fp16 = batch_norm(beta = input_9_beta_0_to_fp16, epsilon = input_9_epsilon_0_to_fp16, gamma = input_9_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_9_cast_fp16)[name = tensor<string, []>("input_9_cast_fp16")];
            tensor<int32, [2]> var_520 = const()[name = tensor<string, []>("op_520"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_522 = const()[name = tensor<string, []>("op_522"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_13_pad_type_0 = const()[name = tensor<string, []>("x_13_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_13_pad_0 = const()[name = tensor<string, []>("x_13_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_1_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67374400)))];
            tensor<fp16, [16, 3072, 1, 122]> x_13_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_mlp_c_fc_bias_to_fp16, dilations = var_522, groups = var_15, pad = x_13_pad_0, pad_type = x_13_pad_type_0, strides = var_520, weight = vision_model_transformer_resblocks_1_mlp_c_fc_weight_cast_fp16, x = input_9_cast_fp16)[name = tensor<string, []>("x_13_cast_fp16")];
            tensor<fp16, []> var_525_to_fp16 = const()[name = tensor<string, []>("op_525_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_526_cast_fp16 = mul(x = x_13_cast_fp16, y = var_525_to_fp16)[name = tensor<string, []>("op_526_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_527_cast_fp16 = sigmoid(x = var_526_cast_fp16)[name = tensor<string, []>("op_527_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_11_cast_fp16 = mul(x = x_13_cast_fp16, y = var_527_cast_fp16)[name = tensor<string, []>("input_11_cast_fp16")];
            tensor<int32, [2]> var_531 = const()[name = tensor<string, []>("op_531"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_533 = const()[name = tensor<string, []>("op_533"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_535_pad_type_0 = const()[name = tensor<string, []>("op_535_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_535_pad_0 = const()[name = tensor<string, []>("op_535_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_1_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_1_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67380608)))];
            tensor<fp16, [16, 768, 1, 122]> var_535_cast_fp16 = conv(bias = vision_model_transformer_resblocks_1_mlp_c_proj_bias_to_fp16, dilations = var_533, groups = var_15, pad = var_535_pad_0, pad_type = var_535_pad_type_0, strides = var_531, weight = vision_model_transformer_resblocks_1_mlp_c_proj_weight_cast_fp16, x = input_11_cast_fp16)[name = tensor<string, []>("op_535_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_13_cast_fp16 = add(x = inputs_11_cast_fp16, y = var_535_cast_fp16)[name = tensor<string, []>("inputs_13_cast_fp16")];
            tensor<int32, [1]> out_11_axes_0 = const()[name = tensor<string, []>("out_11_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_549_to_fp16 = const()[name = tensor<string, []>("op_549_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_11_cast_fp16 = layer_norm(axes = out_11_axes_0, epsilon = var_549_to_fp16, x = inputs_13_cast_fp16)[name = tensor<string, []>("out_11_cast_fp16")];
            tensor<fp16, [768]> query_5_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_5_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67382208)))];
            tensor<fp16, [768]> query_5_beta_0_to_fp16 = const()[name = tensor<string, []>("query_5_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67383808)))];
            tensor<fp16, []> query_5_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_5_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_5_cast_fp16 = batch_norm(beta = query_5_beta_0_to_fp16, epsilon = query_5_epsilon_0_to_fp16, gamma = query_5_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_11_cast_fp16)[name = tensor<string, []>("query_5_cast_fp16")];
            tensor<int32, [2]> var_565 = const()[name = tensor<string, []>("op_565"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_567 = const()[name = tensor<string, []>("op_567"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_569_pad_type_0 = const()[name = tensor<string, []>("op_569_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_569_pad_0 = const()[name = tensor<string, []>("op_569_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67385408)))];
            tensor<fp16, [16, 768, 1, 122]> var_569_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_query_bias_to_fp16, dilations = var_567, groups = var_15, pad = var_569_pad_0, pad_type = var_569_pad_type_0, strides = var_565, weight = vision_model_transformer_resblocks_2_attn_query_weight_cast_fp16, x = query_5_cast_fp16)[name = tensor<string, []>("op_569_cast_fp16")];
            tensor<int32, [2]> var_572 = const()[name = tensor<string, []>("op_572"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_574 = const()[name = tensor<string, []>("op_574"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_5_pad_type_0 = const()[name = tensor<string, []>("k_5_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_5_pad_0 = const()[name = tensor<string, []>("k_5_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67387008)))];
            tensor<fp16, [16, 768, 1, 122]> k_5_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_key_bias_to_fp16, dilations = var_574, groups = var_15, pad = k_5_pad_0, pad_type = k_5_pad_type_0, strides = var_572, weight = vision_model_transformer_resblocks_2_attn_key_weight_cast_fp16, x = query_5_cast_fp16)[name = tensor<string, []>("k_5_cast_fp16")];
            tensor<int32, [2]> var_579 = const()[name = tensor<string, []>("op_579"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_581 = const()[name = tensor<string, []>("op_581"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_583_pad_type_0 = const()[name = tensor<string, []>("op_583_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_583_pad_0 = const()[name = tensor<string, []>("op_583_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67388608)))];
            tensor<fp16, [16, 768, 1, 122]> var_583_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_value_bias_to_fp16, dilations = var_581, groups = var_15, pad = var_583_pad_0, pad_type = var_583_pad_type_0, strides = var_579, weight = vision_model_transformer_resblocks_2_attn_value_weight_cast_fp16, x = query_5_cast_fp16)[name = tensor<string, []>("op_583_cast_fp16")];
            tensor<int32, [12]> tile_6 = const()[name = tensor<string, []>("tile_6"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_584_axis_0 = const()[name = tensor<string, []>("op_584_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_584_cast_fp16_11 = split(axis = var_584_axis_0, split_sizes = tile_6, x = var_569_cast_fp16)[name = tensor<string, []>("op_584_cast_fp16")];
            tensor<int32, [4]> var_597_perm_0 = const()[name = tensor<string, []>("op_597_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_7 = const()[name = tensor<string, []>("tile_7"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_598_axis_0 = const()[name = tensor<string, []>("op_598_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_11 = transpose(perm = var_597_perm_0, x = k_5_cast_fp16)[name = tensor<string, []>("transpose_11")];
            tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_598_cast_fp16_11 = split(axis = var_598_axis_0, split_sizes = tile_7, x = transpose_11)[name = tensor<string, []>("op_598_cast_fp16")];
            tensor<int32, [12]> tile_8 = const()[name = tensor<string, []>("tile_8"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_611_axis_0 = const()[name = tensor<string, []>("op_611_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_611_cast_fp16_11 = split(axis = var_611_axis_0, split_sizes = tile_8, x = var_583_cast_fp16)[name = tensor<string, []>("op_611_cast_fp16")];
            tensor<string, []> var_625_equation_0 = const()[name = tensor<string, []>("op_625_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_625_cast_fp16 = einsum(equation = var_625_equation_0, values = (var_598_cast_fp16_0, var_584_cast_fp16_0))[name = tensor<string, []>("op_625_cast_fp16")];
            tensor<fp16, []> var_626_to_fp16 = const()[name = tensor<string, []>("op_626_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_49_cast_fp16 = mul(x = var_625_cast_fp16, y = var_626_to_fp16)[name = tensor<string, []>("aw_49_cast_fp16")];
            tensor<string, []> var_629_equation_0 = const()[name = tensor<string, []>("op_629_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_629_cast_fp16 = einsum(equation = var_629_equation_0, values = (var_598_cast_fp16_1, var_584_cast_fp16_1))[name = tensor<string, []>("op_629_cast_fp16")];
            tensor<fp16, []> var_630_to_fp16 = const()[name = tensor<string, []>("op_630_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_51_cast_fp16 = mul(x = var_629_cast_fp16, y = var_630_to_fp16)[name = tensor<string, []>("aw_51_cast_fp16")];
            tensor<string, []> var_633_equation_0 = const()[name = tensor<string, []>("op_633_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_633_cast_fp16 = einsum(equation = var_633_equation_0, values = (var_598_cast_fp16_2, var_584_cast_fp16_2))[name = tensor<string, []>("op_633_cast_fp16")];
            tensor<fp16, []> var_634_to_fp16 = const()[name = tensor<string, []>("op_634_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_53_cast_fp16 = mul(x = var_633_cast_fp16, y = var_634_to_fp16)[name = tensor<string, []>("aw_53_cast_fp16")];
            tensor<string, []> var_637_equation_0 = const()[name = tensor<string, []>("op_637_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_637_cast_fp16 = einsum(equation = var_637_equation_0, values = (var_598_cast_fp16_3, var_584_cast_fp16_3))[name = tensor<string, []>("op_637_cast_fp16")];
            tensor<fp16, []> var_638_to_fp16 = const()[name = tensor<string, []>("op_638_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_55_cast_fp16 = mul(x = var_637_cast_fp16, y = var_638_to_fp16)[name = tensor<string, []>("aw_55_cast_fp16")];
            tensor<string, []> var_641_equation_0 = const()[name = tensor<string, []>("op_641_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_641_cast_fp16 = einsum(equation = var_641_equation_0, values = (var_598_cast_fp16_4, var_584_cast_fp16_4))[name = tensor<string, []>("op_641_cast_fp16")];
            tensor<fp16, []> var_642_to_fp16 = const()[name = tensor<string, []>("op_642_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_57_cast_fp16 = mul(x = var_641_cast_fp16, y = var_642_to_fp16)[name = tensor<string, []>("aw_57_cast_fp16")];
            tensor<string, []> var_645_equation_0 = const()[name = tensor<string, []>("op_645_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_645_cast_fp16 = einsum(equation = var_645_equation_0, values = (var_598_cast_fp16_5, var_584_cast_fp16_5))[name = tensor<string, []>("op_645_cast_fp16")];
            tensor<fp16, []> var_646_to_fp16 = const()[name = tensor<string, []>("op_646_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_59_cast_fp16 = mul(x = var_645_cast_fp16, y = var_646_to_fp16)[name = tensor<string, []>("aw_59_cast_fp16")];
            tensor<string, []> var_649_equation_0 = const()[name = tensor<string, []>("op_649_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_649_cast_fp16 = einsum(equation = var_649_equation_0, values = (var_598_cast_fp16_6, var_584_cast_fp16_6))[name = tensor<string, []>("op_649_cast_fp16")];
            tensor<fp16, []> var_650_to_fp16 = const()[name = tensor<string, []>("op_650_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_61_cast_fp16 = mul(x = var_649_cast_fp16, y = var_650_to_fp16)[name = tensor<string, []>("aw_61_cast_fp16")];
            tensor<string, []> var_653_equation_0 = const()[name = tensor<string, []>("op_653_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_653_cast_fp16 = einsum(equation = var_653_equation_0, values = (var_598_cast_fp16_7, var_584_cast_fp16_7))[name = tensor<string, []>("op_653_cast_fp16")];
            tensor<fp16, []> var_654_to_fp16 = const()[name = tensor<string, []>("op_654_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_63_cast_fp16 = mul(x = var_653_cast_fp16, y = var_654_to_fp16)[name = tensor<string, []>("aw_63_cast_fp16")];
            tensor<string, []> var_657_equation_0 = const()[name = tensor<string, []>("op_657_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_657_cast_fp16 = einsum(equation = var_657_equation_0, values = (var_598_cast_fp16_8, var_584_cast_fp16_8))[name = tensor<string, []>("op_657_cast_fp16")];
            tensor<fp16, []> var_658_to_fp16 = const()[name = tensor<string, []>("op_658_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_65_cast_fp16 = mul(x = var_657_cast_fp16, y = var_658_to_fp16)[name = tensor<string, []>("aw_65_cast_fp16")];
            tensor<string, []> var_661_equation_0 = const()[name = tensor<string, []>("op_661_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_661_cast_fp16 = einsum(equation = var_661_equation_0, values = (var_598_cast_fp16_9, var_584_cast_fp16_9))[name = tensor<string, []>("op_661_cast_fp16")];
            tensor<fp16, []> var_662_to_fp16 = const()[name = tensor<string, []>("op_662_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_67_cast_fp16 = mul(x = var_661_cast_fp16, y = var_662_to_fp16)[name = tensor<string, []>("aw_67_cast_fp16")];
            tensor<string, []> var_665_equation_0 = const()[name = tensor<string, []>("op_665_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_665_cast_fp16 = einsum(equation = var_665_equation_0, values = (var_598_cast_fp16_10, var_584_cast_fp16_10))[name = tensor<string, []>("op_665_cast_fp16")];
            tensor<fp16, []> var_666_to_fp16 = const()[name = tensor<string, []>("op_666_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_69_cast_fp16 = mul(x = var_665_cast_fp16, y = var_666_to_fp16)[name = tensor<string, []>("aw_69_cast_fp16")];
            tensor<string, []> var_669_equation_0 = const()[name = tensor<string, []>("op_669_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_669_cast_fp16 = einsum(equation = var_669_equation_0, values = (var_598_cast_fp16_11, var_584_cast_fp16_11))[name = tensor<string, []>("op_669_cast_fp16")];
            tensor<fp16, []> var_670_to_fp16 = const()[name = tensor<string, []>("op_670_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_71_cast_fp16 = mul(x = var_669_cast_fp16, y = var_670_to_fp16)[name = tensor<string, []>("aw_71_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_672_cast_fp16 = softmax(axis = var_15, x = aw_49_cast_fp16)[name = tensor<string, []>("op_672_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_673_cast_fp16 = softmax(axis = var_15, x = aw_51_cast_fp16)[name = tensor<string, []>("op_673_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_674_cast_fp16 = softmax(axis = var_15, x = aw_53_cast_fp16)[name = tensor<string, []>("op_674_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_675_cast_fp16 = softmax(axis = var_15, x = aw_55_cast_fp16)[name = tensor<string, []>("op_675_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_676_cast_fp16 = softmax(axis = var_15, x = aw_57_cast_fp16)[name = tensor<string, []>("op_676_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_677_cast_fp16 = softmax(axis = var_15, x = aw_59_cast_fp16)[name = tensor<string, []>("op_677_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_678_cast_fp16 = softmax(axis = var_15, x = aw_61_cast_fp16)[name = tensor<string, []>("op_678_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_679_cast_fp16 = softmax(axis = var_15, x = aw_63_cast_fp16)[name = tensor<string, []>("op_679_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_680_cast_fp16 = softmax(axis = var_15, x = aw_65_cast_fp16)[name = tensor<string, []>("op_680_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_681_cast_fp16 = softmax(axis = var_15, x = aw_67_cast_fp16)[name = tensor<string, []>("op_681_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_682_cast_fp16 = softmax(axis = var_15, x = aw_69_cast_fp16)[name = tensor<string, []>("op_682_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_683_cast_fp16 = softmax(axis = var_15, x = aw_71_cast_fp16)[name = tensor<string, []>("op_683_cast_fp16")];
            tensor<string, []> var_685_equation_0 = const()[name = tensor<string, []>("op_685_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_685_cast_fp16 = einsum(equation = var_685_equation_0, values = (var_611_cast_fp16_0, var_672_cast_fp16))[name = tensor<string, []>("op_685_cast_fp16")];
            tensor<string, []> var_687_equation_0 = const()[name = tensor<string, []>("op_687_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_687_cast_fp16 = einsum(equation = var_687_equation_0, values = (var_611_cast_fp16_1, var_673_cast_fp16))[name = tensor<string, []>("op_687_cast_fp16")];
            tensor<string, []> var_689_equation_0 = const()[name = tensor<string, []>("op_689_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_689_cast_fp16 = einsum(equation = var_689_equation_0, values = (var_611_cast_fp16_2, var_674_cast_fp16))[name = tensor<string, []>("op_689_cast_fp16")];
            tensor<string, []> var_691_equation_0 = const()[name = tensor<string, []>("op_691_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_691_cast_fp16 = einsum(equation = var_691_equation_0, values = (var_611_cast_fp16_3, var_675_cast_fp16))[name = tensor<string, []>("op_691_cast_fp16")];
            tensor<string, []> var_693_equation_0 = const()[name = tensor<string, []>("op_693_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_693_cast_fp16 = einsum(equation = var_693_equation_0, values = (var_611_cast_fp16_4, var_676_cast_fp16))[name = tensor<string, []>("op_693_cast_fp16")];
            tensor<string, []> var_695_equation_0 = const()[name = tensor<string, []>("op_695_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_695_cast_fp16 = einsum(equation = var_695_equation_0, values = (var_611_cast_fp16_5, var_677_cast_fp16))[name = tensor<string, []>("op_695_cast_fp16")];
            tensor<string, []> var_697_equation_0 = const()[name = tensor<string, []>("op_697_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_697_cast_fp16 = einsum(equation = var_697_equation_0, values = (var_611_cast_fp16_6, var_678_cast_fp16))[name = tensor<string, []>("op_697_cast_fp16")];
            tensor<string, []> var_699_equation_0 = const()[name = tensor<string, []>("op_699_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_699_cast_fp16 = einsum(equation = var_699_equation_0, values = (var_611_cast_fp16_7, var_679_cast_fp16))[name = tensor<string, []>("op_699_cast_fp16")];
            tensor<string, []> var_701_equation_0 = const()[name = tensor<string, []>("op_701_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_701_cast_fp16 = einsum(equation = var_701_equation_0, values = (var_611_cast_fp16_8, var_680_cast_fp16))[name = tensor<string, []>("op_701_cast_fp16")];
            tensor<string, []> var_703_equation_0 = const()[name = tensor<string, []>("op_703_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_703_cast_fp16 = einsum(equation = var_703_equation_0, values = (var_611_cast_fp16_9, var_681_cast_fp16))[name = tensor<string, []>("op_703_cast_fp16")];
            tensor<string, []> var_705_equation_0 = const()[name = tensor<string, []>("op_705_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_705_cast_fp16 = einsum(equation = var_705_equation_0, values = (var_611_cast_fp16_10, var_682_cast_fp16))[name = tensor<string, []>("op_705_cast_fp16")];
            tensor<string, []> var_707_equation_0 = const()[name = tensor<string, []>("op_707_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_707_cast_fp16 = einsum(equation = var_707_equation_0, values = (var_611_cast_fp16_11, var_683_cast_fp16))[name = tensor<string, []>("op_707_cast_fp16")];
            tensor<bool, []> input_13_interleave_0 = const()[name = tensor<string, []>("input_13_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_13_cast_fp16 = concat(axis = var_15, interleave = input_13_interleave_0, values = (var_685_cast_fp16, var_687_cast_fp16, var_689_cast_fp16, var_691_cast_fp16, var_693_cast_fp16, var_695_cast_fp16, var_697_cast_fp16, var_699_cast_fp16, var_701_cast_fp16, var_703_cast_fp16, var_705_cast_fp16, var_707_cast_fp16))[name = tensor<string, []>("input_13_cast_fp16")];
            tensor<int32, [2]> var_712 = const()[name = tensor<string, []>("op_712"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_714 = const()[name = tensor<string, []>("op_714"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_716_pad_type_0 = const()[name = tensor<string, []>("op_716_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_716_pad_0 = const()[name = tensor<string, []>("op_716_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67390208)))];
            tensor<fp16, [16, 768, 1, 122]> var_716_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_attn_out_proj_bias_to_fp16, dilations = var_714, groups = var_15, pad = var_716_pad_0, pad_type = var_716_pad_type_0, strides = var_712, weight = vision_model_transformer_resblocks_2_attn_out_proj_weight_cast_fp16, x = input_13_cast_fp16)[name = tensor<string, []>("op_716_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_15_cast_fp16 = add(x = inputs_13_cast_fp16, y = var_716_cast_fp16)[name = tensor<string, []>("inputs_15_cast_fp16")];
            tensor<int32, [1]> out_13_axes_0 = const()[name = tensor<string, []>("out_13_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_726_to_fp16 = const()[name = tensor<string, []>("op_726_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_13_cast_fp16 = layer_norm(axes = out_13_axes_0, epsilon = var_726_to_fp16, x = inputs_15_cast_fp16)[name = tensor<string, []>("out_13_cast_fp16")];
            tensor<fp16, [768]> input_15_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_15_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67391808)))];
            tensor<fp16, [768]> input_15_beta_0_to_fp16 = const()[name = tensor<string, []>("input_15_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67393408)))];
            tensor<fp16, []> input_15_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_15_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_15_cast_fp16 = batch_norm(beta = input_15_beta_0_to_fp16, epsilon = input_15_epsilon_0_to_fp16, gamma = input_15_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_13_cast_fp16)[name = tensor<string, []>("input_15_cast_fp16")];
            tensor<int32, [2]> var_740 = const()[name = tensor<string, []>("op_740"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_742 = const()[name = tensor<string, []>("op_742"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_15_pad_type_0 = const()[name = tensor<string, []>("x_15_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_15_pad_0 = const()[name = tensor<string, []>("x_15_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_2_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67395008)))];
            tensor<fp16, [16, 3072, 1, 122]> x_15_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_mlp_c_fc_bias_to_fp16, dilations = var_742, groups = var_15, pad = x_15_pad_0, pad_type = x_15_pad_type_0, strides = var_740, weight = vision_model_transformer_resblocks_2_mlp_c_fc_weight_cast_fp16, x = input_15_cast_fp16)[name = tensor<string, []>("x_15_cast_fp16")];
            tensor<fp16, []> var_745_to_fp16 = const()[name = tensor<string, []>("op_745_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_746_cast_fp16 = mul(x = x_15_cast_fp16, y = var_745_to_fp16)[name = tensor<string, []>("op_746_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_747_cast_fp16 = sigmoid(x = var_746_cast_fp16)[name = tensor<string, []>("op_747_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_17_cast_fp16 = mul(x = x_15_cast_fp16, y = var_747_cast_fp16)[name = tensor<string, []>("input_17_cast_fp16")];
            tensor<int32, [2]> var_751 = const()[name = tensor<string, []>("op_751"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_753 = const()[name = tensor<string, []>("op_753"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_755_pad_type_0 = const()[name = tensor<string, []>("op_755_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_755_pad_0 = const()[name = tensor<string, []>("op_755_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_2_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_2_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67401216)))];
            tensor<fp16, [16, 768, 1, 122]> var_755_cast_fp16 = conv(bias = vision_model_transformer_resblocks_2_mlp_c_proj_bias_to_fp16, dilations = var_753, groups = var_15, pad = var_755_pad_0, pad_type = var_755_pad_type_0, strides = var_751, weight = vision_model_transformer_resblocks_2_mlp_c_proj_weight_cast_fp16, x = input_17_cast_fp16)[name = tensor<string, []>("op_755_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_17_cast_fp16 = add(x = inputs_15_cast_fp16, y = var_755_cast_fp16)[name = tensor<string, []>("inputs_17_cast_fp16")];
            tensor<int32, [1]> out_15_axes_0 = const()[name = tensor<string, []>("out_15_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_769_to_fp16 = const()[name = tensor<string, []>("op_769_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_15_cast_fp16 = layer_norm(axes = out_15_axes_0, epsilon = var_769_to_fp16, x = inputs_17_cast_fp16)[name = tensor<string, []>("out_15_cast_fp16")];
            tensor<fp16, [768]> query_7_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_7_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67402816)))];
            tensor<fp16, [768]> query_7_beta_0_to_fp16 = const()[name = tensor<string, []>("query_7_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67404416)))];
            tensor<fp16, []> query_7_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_7_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_7_cast_fp16 = batch_norm(beta = query_7_beta_0_to_fp16, epsilon = query_7_epsilon_0_to_fp16, gamma = query_7_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_15_cast_fp16)[name = tensor<string, []>("query_7_cast_fp16")];
            tensor<int32, [2]> var_785 = const()[name = tensor<string, []>("op_785"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_787 = const()[name = tensor<string, []>("op_787"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_789_pad_type_0 = const()[name = tensor<string, []>("op_789_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_789_pad_0 = const()[name = tensor<string, []>("op_789_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67406016)))];
            tensor<fp16, [16, 768, 1, 122]> var_789_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_query_bias_to_fp16, dilations = var_787, groups = var_15, pad = var_789_pad_0, pad_type = var_789_pad_type_0, strides = var_785, weight = vision_model_transformer_resblocks_3_attn_query_weight_cast_fp16, x = query_7_cast_fp16)[name = tensor<string, []>("op_789_cast_fp16")];
            tensor<int32, [2]> var_792 = const()[name = tensor<string, []>("op_792"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_794 = const()[name = tensor<string, []>("op_794"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_7_pad_type_0 = const()[name = tensor<string, []>("k_7_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_7_pad_0 = const()[name = tensor<string, []>("k_7_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67407616)))];
            tensor<fp16, [16, 768, 1, 122]> k_7_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_key_bias_to_fp16, dilations = var_794, groups = var_15, pad = k_7_pad_0, pad_type = k_7_pad_type_0, strides = var_792, weight = vision_model_transformer_resblocks_3_attn_key_weight_cast_fp16, x = query_7_cast_fp16)[name = tensor<string, []>("k_7_cast_fp16")];
            tensor<int32, [2]> var_799 = const()[name = tensor<string, []>("op_799"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_801 = const()[name = tensor<string, []>("op_801"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_803_pad_type_0 = const()[name = tensor<string, []>("op_803_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_803_pad_0 = const()[name = tensor<string, []>("op_803_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67409216)))];
            tensor<fp16, [16, 768, 1, 122]> var_803_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_value_bias_to_fp16, dilations = var_801, groups = var_15, pad = var_803_pad_0, pad_type = var_803_pad_type_0, strides = var_799, weight = vision_model_transformer_resblocks_3_attn_value_weight_cast_fp16, x = query_7_cast_fp16)[name = tensor<string, []>("op_803_cast_fp16")];
            tensor<int32, [12]> tile_9 = const()[name = tensor<string, []>("tile_9"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_804_axis_0 = const()[name = tensor<string, []>("op_804_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_804_cast_fp16_11 = split(axis = var_804_axis_0, split_sizes = tile_9, x = var_789_cast_fp16)[name = tensor<string, []>("op_804_cast_fp16")];
            tensor<int32, [4]> var_817_perm_0 = const()[name = tensor<string, []>("op_817_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_10 = const()[name = tensor<string, []>("tile_10"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_818_axis_0 = const()[name = tensor<string, []>("op_818_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_10 = transpose(perm = var_817_perm_0, x = k_7_cast_fp16)[name = tensor<string, []>("transpose_10")];
            tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_818_cast_fp16_11 = split(axis = var_818_axis_0, split_sizes = tile_10, x = transpose_10)[name = tensor<string, []>("op_818_cast_fp16")];
            tensor<int32, [12]> tile_11 = const()[name = tensor<string, []>("tile_11"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_831_axis_0 = const()[name = tensor<string, []>("op_831_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_831_cast_fp16_11 = split(axis = var_831_axis_0, split_sizes = tile_11, x = var_803_cast_fp16)[name = tensor<string, []>("op_831_cast_fp16")];
            tensor<string, []> var_845_equation_0 = const()[name = tensor<string, []>("op_845_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_845_cast_fp16 = einsum(equation = var_845_equation_0, values = (var_818_cast_fp16_0, var_804_cast_fp16_0))[name = tensor<string, []>("op_845_cast_fp16")];
            tensor<fp16, []> var_846_to_fp16 = const()[name = tensor<string, []>("op_846_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_73_cast_fp16 = mul(x = var_845_cast_fp16, y = var_846_to_fp16)[name = tensor<string, []>("aw_73_cast_fp16")];
            tensor<string, []> var_849_equation_0 = const()[name = tensor<string, []>("op_849_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_849_cast_fp16 = einsum(equation = var_849_equation_0, values = (var_818_cast_fp16_1, var_804_cast_fp16_1))[name = tensor<string, []>("op_849_cast_fp16")];
            tensor<fp16, []> var_850_to_fp16 = const()[name = tensor<string, []>("op_850_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_75_cast_fp16 = mul(x = var_849_cast_fp16, y = var_850_to_fp16)[name = tensor<string, []>("aw_75_cast_fp16")];
            tensor<string, []> var_853_equation_0 = const()[name = tensor<string, []>("op_853_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_853_cast_fp16 = einsum(equation = var_853_equation_0, values = (var_818_cast_fp16_2, var_804_cast_fp16_2))[name = tensor<string, []>("op_853_cast_fp16")];
            tensor<fp16, []> var_854_to_fp16 = const()[name = tensor<string, []>("op_854_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_77_cast_fp16 = mul(x = var_853_cast_fp16, y = var_854_to_fp16)[name = tensor<string, []>("aw_77_cast_fp16")];
            tensor<string, []> var_857_equation_0 = const()[name = tensor<string, []>("op_857_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_857_cast_fp16 = einsum(equation = var_857_equation_0, values = (var_818_cast_fp16_3, var_804_cast_fp16_3))[name = tensor<string, []>("op_857_cast_fp16")];
            tensor<fp16, []> var_858_to_fp16 = const()[name = tensor<string, []>("op_858_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_79_cast_fp16 = mul(x = var_857_cast_fp16, y = var_858_to_fp16)[name = tensor<string, []>("aw_79_cast_fp16")];
            tensor<string, []> var_861_equation_0 = const()[name = tensor<string, []>("op_861_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_861_cast_fp16 = einsum(equation = var_861_equation_0, values = (var_818_cast_fp16_4, var_804_cast_fp16_4))[name = tensor<string, []>("op_861_cast_fp16")];
            tensor<fp16, []> var_862_to_fp16 = const()[name = tensor<string, []>("op_862_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_81_cast_fp16 = mul(x = var_861_cast_fp16, y = var_862_to_fp16)[name = tensor<string, []>("aw_81_cast_fp16")];
            tensor<string, []> var_865_equation_0 = const()[name = tensor<string, []>("op_865_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_865_cast_fp16 = einsum(equation = var_865_equation_0, values = (var_818_cast_fp16_5, var_804_cast_fp16_5))[name = tensor<string, []>("op_865_cast_fp16")];
            tensor<fp16, []> var_866_to_fp16 = const()[name = tensor<string, []>("op_866_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_83_cast_fp16 = mul(x = var_865_cast_fp16, y = var_866_to_fp16)[name = tensor<string, []>("aw_83_cast_fp16")];
            tensor<string, []> var_869_equation_0 = const()[name = tensor<string, []>("op_869_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_869_cast_fp16 = einsum(equation = var_869_equation_0, values = (var_818_cast_fp16_6, var_804_cast_fp16_6))[name = tensor<string, []>("op_869_cast_fp16")];
            tensor<fp16, []> var_870_to_fp16 = const()[name = tensor<string, []>("op_870_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_85_cast_fp16 = mul(x = var_869_cast_fp16, y = var_870_to_fp16)[name = tensor<string, []>("aw_85_cast_fp16")];
            tensor<string, []> var_873_equation_0 = const()[name = tensor<string, []>("op_873_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_873_cast_fp16 = einsum(equation = var_873_equation_0, values = (var_818_cast_fp16_7, var_804_cast_fp16_7))[name = tensor<string, []>("op_873_cast_fp16")];
            tensor<fp16, []> var_874_to_fp16 = const()[name = tensor<string, []>("op_874_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_87_cast_fp16 = mul(x = var_873_cast_fp16, y = var_874_to_fp16)[name = tensor<string, []>("aw_87_cast_fp16")];
            tensor<string, []> var_877_equation_0 = const()[name = tensor<string, []>("op_877_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_877_cast_fp16 = einsum(equation = var_877_equation_0, values = (var_818_cast_fp16_8, var_804_cast_fp16_8))[name = tensor<string, []>("op_877_cast_fp16")];
            tensor<fp16, []> var_878_to_fp16 = const()[name = tensor<string, []>("op_878_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_89_cast_fp16 = mul(x = var_877_cast_fp16, y = var_878_to_fp16)[name = tensor<string, []>("aw_89_cast_fp16")];
            tensor<string, []> var_881_equation_0 = const()[name = tensor<string, []>("op_881_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_881_cast_fp16 = einsum(equation = var_881_equation_0, values = (var_818_cast_fp16_9, var_804_cast_fp16_9))[name = tensor<string, []>("op_881_cast_fp16")];
            tensor<fp16, []> var_882_to_fp16 = const()[name = tensor<string, []>("op_882_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_91_cast_fp16 = mul(x = var_881_cast_fp16, y = var_882_to_fp16)[name = tensor<string, []>("aw_91_cast_fp16")];
            tensor<string, []> var_885_equation_0 = const()[name = tensor<string, []>("op_885_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_885_cast_fp16 = einsum(equation = var_885_equation_0, values = (var_818_cast_fp16_10, var_804_cast_fp16_10))[name = tensor<string, []>("op_885_cast_fp16")];
            tensor<fp16, []> var_886_to_fp16 = const()[name = tensor<string, []>("op_886_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_93_cast_fp16 = mul(x = var_885_cast_fp16, y = var_886_to_fp16)[name = tensor<string, []>("aw_93_cast_fp16")];
            tensor<string, []> var_889_equation_0 = const()[name = tensor<string, []>("op_889_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_889_cast_fp16 = einsum(equation = var_889_equation_0, values = (var_818_cast_fp16_11, var_804_cast_fp16_11))[name = tensor<string, []>("op_889_cast_fp16")];
            tensor<fp16, []> var_890_to_fp16 = const()[name = tensor<string, []>("op_890_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_95_cast_fp16 = mul(x = var_889_cast_fp16, y = var_890_to_fp16)[name = tensor<string, []>("aw_95_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_892_cast_fp16 = softmax(axis = var_15, x = aw_73_cast_fp16)[name = tensor<string, []>("op_892_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_893_cast_fp16 = softmax(axis = var_15, x = aw_75_cast_fp16)[name = tensor<string, []>("op_893_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_894_cast_fp16 = softmax(axis = var_15, x = aw_77_cast_fp16)[name = tensor<string, []>("op_894_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_895_cast_fp16 = softmax(axis = var_15, x = aw_79_cast_fp16)[name = tensor<string, []>("op_895_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_896_cast_fp16 = softmax(axis = var_15, x = aw_81_cast_fp16)[name = tensor<string, []>("op_896_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_897_cast_fp16 = softmax(axis = var_15, x = aw_83_cast_fp16)[name = tensor<string, []>("op_897_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_898_cast_fp16 = softmax(axis = var_15, x = aw_85_cast_fp16)[name = tensor<string, []>("op_898_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_899_cast_fp16 = softmax(axis = var_15, x = aw_87_cast_fp16)[name = tensor<string, []>("op_899_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_900_cast_fp16 = softmax(axis = var_15, x = aw_89_cast_fp16)[name = tensor<string, []>("op_900_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_901_cast_fp16 = softmax(axis = var_15, x = aw_91_cast_fp16)[name = tensor<string, []>("op_901_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_902_cast_fp16 = softmax(axis = var_15, x = aw_93_cast_fp16)[name = tensor<string, []>("op_902_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_903_cast_fp16 = softmax(axis = var_15, x = aw_95_cast_fp16)[name = tensor<string, []>("op_903_cast_fp16")];
            tensor<string, []> var_905_equation_0 = const()[name = tensor<string, []>("op_905_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_905_cast_fp16 = einsum(equation = var_905_equation_0, values = (var_831_cast_fp16_0, var_892_cast_fp16))[name = tensor<string, []>("op_905_cast_fp16")];
            tensor<string, []> var_907_equation_0 = const()[name = tensor<string, []>("op_907_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_907_cast_fp16 = einsum(equation = var_907_equation_0, values = (var_831_cast_fp16_1, var_893_cast_fp16))[name = tensor<string, []>("op_907_cast_fp16")];
            tensor<string, []> var_909_equation_0 = const()[name = tensor<string, []>("op_909_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_909_cast_fp16 = einsum(equation = var_909_equation_0, values = (var_831_cast_fp16_2, var_894_cast_fp16))[name = tensor<string, []>("op_909_cast_fp16")];
            tensor<string, []> var_911_equation_0 = const()[name = tensor<string, []>("op_911_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_911_cast_fp16 = einsum(equation = var_911_equation_0, values = (var_831_cast_fp16_3, var_895_cast_fp16))[name = tensor<string, []>("op_911_cast_fp16")];
            tensor<string, []> var_913_equation_0 = const()[name = tensor<string, []>("op_913_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_913_cast_fp16 = einsum(equation = var_913_equation_0, values = (var_831_cast_fp16_4, var_896_cast_fp16))[name = tensor<string, []>("op_913_cast_fp16")];
            tensor<string, []> var_915_equation_0 = const()[name = tensor<string, []>("op_915_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_915_cast_fp16 = einsum(equation = var_915_equation_0, values = (var_831_cast_fp16_5, var_897_cast_fp16))[name = tensor<string, []>("op_915_cast_fp16")];
            tensor<string, []> var_917_equation_0 = const()[name = tensor<string, []>("op_917_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_917_cast_fp16 = einsum(equation = var_917_equation_0, values = (var_831_cast_fp16_6, var_898_cast_fp16))[name = tensor<string, []>("op_917_cast_fp16")];
            tensor<string, []> var_919_equation_0 = const()[name = tensor<string, []>("op_919_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_919_cast_fp16 = einsum(equation = var_919_equation_0, values = (var_831_cast_fp16_7, var_899_cast_fp16))[name = tensor<string, []>("op_919_cast_fp16")];
            tensor<string, []> var_921_equation_0 = const()[name = tensor<string, []>("op_921_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_921_cast_fp16 = einsum(equation = var_921_equation_0, values = (var_831_cast_fp16_8, var_900_cast_fp16))[name = tensor<string, []>("op_921_cast_fp16")];
            tensor<string, []> var_923_equation_0 = const()[name = tensor<string, []>("op_923_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_923_cast_fp16 = einsum(equation = var_923_equation_0, values = (var_831_cast_fp16_9, var_901_cast_fp16))[name = tensor<string, []>("op_923_cast_fp16")];
            tensor<string, []> var_925_equation_0 = const()[name = tensor<string, []>("op_925_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_925_cast_fp16 = einsum(equation = var_925_equation_0, values = (var_831_cast_fp16_10, var_902_cast_fp16))[name = tensor<string, []>("op_925_cast_fp16")];
            tensor<string, []> var_927_equation_0 = const()[name = tensor<string, []>("op_927_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_927_cast_fp16 = einsum(equation = var_927_equation_0, values = (var_831_cast_fp16_11, var_903_cast_fp16))[name = tensor<string, []>("op_927_cast_fp16")];
            tensor<bool, []> input_19_interleave_0 = const()[name = tensor<string, []>("input_19_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_19_cast_fp16 = concat(axis = var_15, interleave = input_19_interleave_0, values = (var_905_cast_fp16, var_907_cast_fp16, var_909_cast_fp16, var_911_cast_fp16, var_913_cast_fp16, var_915_cast_fp16, var_917_cast_fp16, var_919_cast_fp16, var_921_cast_fp16, var_923_cast_fp16, var_925_cast_fp16, var_927_cast_fp16))[name = tensor<string, []>("input_19_cast_fp16")];
            tensor<int32, [2]> var_932 = const()[name = tensor<string, []>("op_932"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_934 = const()[name = tensor<string, []>("op_934"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_936_pad_type_0 = const()[name = tensor<string, []>("op_936_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_936_pad_0 = const()[name = tensor<string, []>("op_936_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67410816)))];
            tensor<fp16, [16, 768, 1, 122]> var_936_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_attn_out_proj_bias_to_fp16, dilations = var_934, groups = var_15, pad = var_936_pad_0, pad_type = var_936_pad_type_0, strides = var_932, weight = vision_model_transformer_resblocks_3_attn_out_proj_weight_cast_fp16, x = input_19_cast_fp16)[name = tensor<string, []>("op_936_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_19_cast_fp16 = add(x = inputs_17_cast_fp16, y = var_936_cast_fp16)[name = tensor<string, []>("inputs_19_cast_fp16")];
            tensor<int32, [1]> out_17_axes_0 = const()[name = tensor<string, []>("out_17_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_946_to_fp16 = const()[name = tensor<string, []>("op_946_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_17_cast_fp16 = layer_norm(axes = out_17_axes_0, epsilon = var_946_to_fp16, x = inputs_19_cast_fp16)[name = tensor<string, []>("out_17_cast_fp16")];
            tensor<fp16, [768]> input_21_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_21_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67412416)))];
            tensor<fp16, [768]> input_21_beta_0_to_fp16 = const()[name = tensor<string, []>("input_21_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67414016)))];
            tensor<fp16, []> input_21_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_21_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_21_cast_fp16 = batch_norm(beta = input_21_beta_0_to_fp16, epsilon = input_21_epsilon_0_to_fp16, gamma = input_21_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_17_cast_fp16)[name = tensor<string, []>("input_21_cast_fp16")];
            tensor<int32, [2]> var_960 = const()[name = tensor<string, []>("op_960"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_962 = const()[name = tensor<string, []>("op_962"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_17_pad_type_0 = const()[name = tensor<string, []>("x_17_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_17_pad_0 = const()[name = tensor<string, []>("x_17_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_3_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67415616)))];
            tensor<fp16, [16, 3072, 1, 122]> x_17_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_mlp_c_fc_bias_to_fp16, dilations = var_962, groups = var_15, pad = x_17_pad_0, pad_type = x_17_pad_type_0, strides = var_960, weight = vision_model_transformer_resblocks_3_mlp_c_fc_weight_cast_fp16, x = input_21_cast_fp16)[name = tensor<string, []>("x_17_cast_fp16")];
            tensor<fp16, []> var_965_to_fp16 = const()[name = tensor<string, []>("op_965_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_966_cast_fp16 = mul(x = x_17_cast_fp16, y = var_965_to_fp16)[name = tensor<string, []>("op_966_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_967_cast_fp16 = sigmoid(x = var_966_cast_fp16)[name = tensor<string, []>("op_967_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_23_cast_fp16 = mul(x = x_17_cast_fp16, y = var_967_cast_fp16)[name = tensor<string, []>("input_23_cast_fp16")];
            tensor<int32, [2]> var_971 = const()[name = tensor<string, []>("op_971"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_973 = const()[name = tensor<string, []>("op_973"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_975_pad_type_0 = const()[name = tensor<string, []>("op_975_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_975_pad_0 = const()[name = tensor<string, []>("op_975_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_3_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_3_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67421824)))];
            tensor<fp16, [16, 768, 1, 122]> var_975_cast_fp16 = conv(bias = vision_model_transformer_resblocks_3_mlp_c_proj_bias_to_fp16, dilations = var_973, groups = var_15, pad = var_975_pad_0, pad_type = var_975_pad_type_0, strides = var_971, weight = vision_model_transformer_resblocks_3_mlp_c_proj_weight_cast_fp16, x = input_23_cast_fp16)[name = tensor<string, []>("op_975_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_21_cast_fp16 = add(x = inputs_19_cast_fp16, y = var_975_cast_fp16)[name = tensor<string, []>("inputs_21_cast_fp16")];
            tensor<int32, [1]> out_19_axes_0 = const()[name = tensor<string, []>("out_19_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_989_to_fp16 = const()[name = tensor<string, []>("op_989_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_19_cast_fp16 = layer_norm(axes = out_19_axes_0, epsilon = var_989_to_fp16, x = inputs_21_cast_fp16)[name = tensor<string, []>("out_19_cast_fp16")];
            tensor<fp16, [768]> query_9_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_9_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67423424)))];
            tensor<fp16, [768]> query_9_beta_0_to_fp16 = const()[name = tensor<string, []>("query_9_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67425024)))];
            tensor<fp16, []> query_9_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_9_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_9_cast_fp16 = batch_norm(beta = query_9_beta_0_to_fp16, epsilon = query_9_epsilon_0_to_fp16, gamma = query_9_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_19_cast_fp16)[name = tensor<string, []>("query_9_cast_fp16")];
            tensor<int32, [2]> var_1005 = const()[name = tensor<string, []>("op_1005"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1007 = const()[name = tensor<string, []>("op_1007"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1009_pad_type_0 = const()[name = tensor<string, []>("op_1009_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1009_pad_0 = const()[name = tensor<string, []>("op_1009_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67426624)))];
            tensor<fp16, [16, 768, 1, 122]> var_1009_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_query_bias_to_fp16, dilations = var_1007, groups = var_15, pad = var_1009_pad_0, pad_type = var_1009_pad_type_0, strides = var_1005, weight = vision_model_transformer_resblocks_4_attn_query_weight_cast_fp16, x = query_9_cast_fp16)[name = tensor<string, []>("op_1009_cast_fp16")];
            tensor<int32, [2]> var_1012 = const()[name = tensor<string, []>("op_1012"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1014 = const()[name = tensor<string, []>("op_1014"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_9_pad_type_0 = const()[name = tensor<string, []>("k_9_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_9_pad_0 = const()[name = tensor<string, []>("k_9_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67428224)))];
            tensor<fp16, [16, 768, 1, 122]> k_9_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_key_bias_to_fp16, dilations = var_1014, groups = var_15, pad = k_9_pad_0, pad_type = k_9_pad_type_0, strides = var_1012, weight = vision_model_transformer_resblocks_4_attn_key_weight_cast_fp16, x = query_9_cast_fp16)[name = tensor<string, []>("k_9_cast_fp16")];
            tensor<int32, [2]> var_1019 = const()[name = tensor<string, []>("op_1019"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1021 = const()[name = tensor<string, []>("op_1021"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1023_pad_type_0 = const()[name = tensor<string, []>("op_1023_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1023_pad_0 = const()[name = tensor<string, []>("op_1023_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67429824)))];
            tensor<fp16, [16, 768, 1, 122]> var_1023_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_value_bias_to_fp16, dilations = var_1021, groups = var_15, pad = var_1023_pad_0, pad_type = var_1023_pad_type_0, strides = var_1019, weight = vision_model_transformer_resblocks_4_attn_value_weight_cast_fp16, x = query_9_cast_fp16)[name = tensor<string, []>("op_1023_cast_fp16")];
            tensor<int32, [12]> tile_12 = const()[name = tensor<string, []>("tile_12"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1024_axis_0 = const()[name = tensor<string, []>("op_1024_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1024_cast_fp16_11 = split(axis = var_1024_axis_0, split_sizes = tile_12, x = var_1009_cast_fp16)[name = tensor<string, []>("op_1024_cast_fp16")];
            tensor<int32, [4]> var_1037_perm_0 = const()[name = tensor<string, []>("op_1037_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_13 = const()[name = tensor<string, []>("tile_13"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1038_axis_0 = const()[name = tensor<string, []>("op_1038_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_9 = transpose(perm = var_1037_perm_0, x = k_9_cast_fp16)[name = tensor<string, []>("transpose_9")];
            tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_1038_cast_fp16_11 = split(axis = var_1038_axis_0, split_sizes = tile_13, x = transpose_9)[name = tensor<string, []>("op_1038_cast_fp16")];
            tensor<int32, [12]> tile_14 = const()[name = tensor<string, []>("tile_14"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1051_axis_0 = const()[name = tensor<string, []>("op_1051_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1051_cast_fp16_11 = split(axis = var_1051_axis_0, split_sizes = tile_14, x = var_1023_cast_fp16)[name = tensor<string, []>("op_1051_cast_fp16")];
            tensor<string, []> var_1065_equation_0 = const()[name = tensor<string, []>("op_1065_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1065_cast_fp16 = einsum(equation = var_1065_equation_0, values = (var_1038_cast_fp16_0, var_1024_cast_fp16_0))[name = tensor<string, []>("op_1065_cast_fp16")];
            tensor<fp16, []> var_1066_to_fp16 = const()[name = tensor<string, []>("op_1066_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_97_cast_fp16 = mul(x = var_1065_cast_fp16, y = var_1066_to_fp16)[name = tensor<string, []>("aw_97_cast_fp16")];
            tensor<string, []> var_1069_equation_0 = const()[name = tensor<string, []>("op_1069_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1069_cast_fp16 = einsum(equation = var_1069_equation_0, values = (var_1038_cast_fp16_1, var_1024_cast_fp16_1))[name = tensor<string, []>("op_1069_cast_fp16")];
            tensor<fp16, []> var_1070_to_fp16 = const()[name = tensor<string, []>("op_1070_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_99_cast_fp16 = mul(x = var_1069_cast_fp16, y = var_1070_to_fp16)[name = tensor<string, []>("aw_99_cast_fp16")];
            tensor<string, []> var_1073_equation_0 = const()[name = tensor<string, []>("op_1073_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1073_cast_fp16 = einsum(equation = var_1073_equation_0, values = (var_1038_cast_fp16_2, var_1024_cast_fp16_2))[name = tensor<string, []>("op_1073_cast_fp16")];
            tensor<fp16, []> var_1074_to_fp16 = const()[name = tensor<string, []>("op_1074_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_101_cast_fp16 = mul(x = var_1073_cast_fp16, y = var_1074_to_fp16)[name = tensor<string, []>("aw_101_cast_fp16")];
            tensor<string, []> var_1077_equation_0 = const()[name = tensor<string, []>("op_1077_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1077_cast_fp16 = einsum(equation = var_1077_equation_0, values = (var_1038_cast_fp16_3, var_1024_cast_fp16_3))[name = tensor<string, []>("op_1077_cast_fp16")];
            tensor<fp16, []> var_1078_to_fp16 = const()[name = tensor<string, []>("op_1078_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_103_cast_fp16 = mul(x = var_1077_cast_fp16, y = var_1078_to_fp16)[name = tensor<string, []>("aw_103_cast_fp16")];
            tensor<string, []> var_1081_equation_0 = const()[name = tensor<string, []>("op_1081_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1081_cast_fp16 = einsum(equation = var_1081_equation_0, values = (var_1038_cast_fp16_4, var_1024_cast_fp16_4))[name = tensor<string, []>("op_1081_cast_fp16")];
            tensor<fp16, []> var_1082_to_fp16 = const()[name = tensor<string, []>("op_1082_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_105_cast_fp16 = mul(x = var_1081_cast_fp16, y = var_1082_to_fp16)[name = tensor<string, []>("aw_105_cast_fp16")];
            tensor<string, []> var_1085_equation_0 = const()[name = tensor<string, []>("op_1085_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1085_cast_fp16 = einsum(equation = var_1085_equation_0, values = (var_1038_cast_fp16_5, var_1024_cast_fp16_5))[name = tensor<string, []>("op_1085_cast_fp16")];
            tensor<fp16, []> var_1086_to_fp16 = const()[name = tensor<string, []>("op_1086_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_107_cast_fp16 = mul(x = var_1085_cast_fp16, y = var_1086_to_fp16)[name = tensor<string, []>("aw_107_cast_fp16")];
            tensor<string, []> var_1089_equation_0 = const()[name = tensor<string, []>("op_1089_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1089_cast_fp16 = einsum(equation = var_1089_equation_0, values = (var_1038_cast_fp16_6, var_1024_cast_fp16_6))[name = tensor<string, []>("op_1089_cast_fp16")];
            tensor<fp16, []> var_1090_to_fp16 = const()[name = tensor<string, []>("op_1090_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_109_cast_fp16 = mul(x = var_1089_cast_fp16, y = var_1090_to_fp16)[name = tensor<string, []>("aw_109_cast_fp16")];
            tensor<string, []> var_1093_equation_0 = const()[name = tensor<string, []>("op_1093_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1093_cast_fp16 = einsum(equation = var_1093_equation_0, values = (var_1038_cast_fp16_7, var_1024_cast_fp16_7))[name = tensor<string, []>("op_1093_cast_fp16")];
            tensor<fp16, []> var_1094_to_fp16 = const()[name = tensor<string, []>("op_1094_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_111_cast_fp16 = mul(x = var_1093_cast_fp16, y = var_1094_to_fp16)[name = tensor<string, []>("aw_111_cast_fp16")];
            tensor<string, []> var_1097_equation_0 = const()[name = tensor<string, []>("op_1097_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1097_cast_fp16 = einsum(equation = var_1097_equation_0, values = (var_1038_cast_fp16_8, var_1024_cast_fp16_8))[name = tensor<string, []>("op_1097_cast_fp16")];
            tensor<fp16, []> var_1098_to_fp16 = const()[name = tensor<string, []>("op_1098_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_113_cast_fp16 = mul(x = var_1097_cast_fp16, y = var_1098_to_fp16)[name = tensor<string, []>("aw_113_cast_fp16")];
            tensor<string, []> var_1101_equation_0 = const()[name = tensor<string, []>("op_1101_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1101_cast_fp16 = einsum(equation = var_1101_equation_0, values = (var_1038_cast_fp16_9, var_1024_cast_fp16_9))[name = tensor<string, []>("op_1101_cast_fp16")];
            tensor<fp16, []> var_1102_to_fp16 = const()[name = tensor<string, []>("op_1102_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_115_cast_fp16 = mul(x = var_1101_cast_fp16, y = var_1102_to_fp16)[name = tensor<string, []>("aw_115_cast_fp16")];
            tensor<string, []> var_1105_equation_0 = const()[name = tensor<string, []>("op_1105_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1105_cast_fp16 = einsum(equation = var_1105_equation_0, values = (var_1038_cast_fp16_10, var_1024_cast_fp16_10))[name = tensor<string, []>("op_1105_cast_fp16")];
            tensor<fp16, []> var_1106_to_fp16 = const()[name = tensor<string, []>("op_1106_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_117_cast_fp16 = mul(x = var_1105_cast_fp16, y = var_1106_to_fp16)[name = tensor<string, []>("aw_117_cast_fp16")];
            tensor<string, []> var_1109_equation_0 = const()[name = tensor<string, []>("op_1109_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1109_cast_fp16 = einsum(equation = var_1109_equation_0, values = (var_1038_cast_fp16_11, var_1024_cast_fp16_11))[name = tensor<string, []>("op_1109_cast_fp16")];
            tensor<fp16, []> var_1110_to_fp16 = const()[name = tensor<string, []>("op_1110_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_119_cast_fp16 = mul(x = var_1109_cast_fp16, y = var_1110_to_fp16)[name = tensor<string, []>("aw_119_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1112_cast_fp16 = softmax(axis = var_15, x = aw_97_cast_fp16)[name = tensor<string, []>("op_1112_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1113_cast_fp16 = softmax(axis = var_15, x = aw_99_cast_fp16)[name = tensor<string, []>("op_1113_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1114_cast_fp16 = softmax(axis = var_15, x = aw_101_cast_fp16)[name = tensor<string, []>("op_1114_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1115_cast_fp16 = softmax(axis = var_15, x = aw_103_cast_fp16)[name = tensor<string, []>("op_1115_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1116_cast_fp16 = softmax(axis = var_15, x = aw_105_cast_fp16)[name = tensor<string, []>("op_1116_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1117_cast_fp16 = softmax(axis = var_15, x = aw_107_cast_fp16)[name = tensor<string, []>("op_1117_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1118_cast_fp16 = softmax(axis = var_15, x = aw_109_cast_fp16)[name = tensor<string, []>("op_1118_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1119_cast_fp16 = softmax(axis = var_15, x = aw_111_cast_fp16)[name = tensor<string, []>("op_1119_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1120_cast_fp16 = softmax(axis = var_15, x = aw_113_cast_fp16)[name = tensor<string, []>("op_1120_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1121_cast_fp16 = softmax(axis = var_15, x = aw_115_cast_fp16)[name = tensor<string, []>("op_1121_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1122_cast_fp16 = softmax(axis = var_15, x = aw_117_cast_fp16)[name = tensor<string, []>("op_1122_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1123_cast_fp16 = softmax(axis = var_15, x = aw_119_cast_fp16)[name = tensor<string, []>("op_1123_cast_fp16")];
            tensor<string, []> var_1125_equation_0 = const()[name = tensor<string, []>("op_1125_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1125_cast_fp16 = einsum(equation = var_1125_equation_0, values = (var_1051_cast_fp16_0, var_1112_cast_fp16))[name = tensor<string, []>("op_1125_cast_fp16")];
            tensor<string, []> var_1127_equation_0 = const()[name = tensor<string, []>("op_1127_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1127_cast_fp16 = einsum(equation = var_1127_equation_0, values = (var_1051_cast_fp16_1, var_1113_cast_fp16))[name = tensor<string, []>("op_1127_cast_fp16")];
            tensor<string, []> var_1129_equation_0 = const()[name = tensor<string, []>("op_1129_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1129_cast_fp16 = einsum(equation = var_1129_equation_0, values = (var_1051_cast_fp16_2, var_1114_cast_fp16))[name = tensor<string, []>("op_1129_cast_fp16")];
            tensor<string, []> var_1131_equation_0 = const()[name = tensor<string, []>("op_1131_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1131_cast_fp16 = einsum(equation = var_1131_equation_0, values = (var_1051_cast_fp16_3, var_1115_cast_fp16))[name = tensor<string, []>("op_1131_cast_fp16")];
            tensor<string, []> var_1133_equation_0 = const()[name = tensor<string, []>("op_1133_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1133_cast_fp16 = einsum(equation = var_1133_equation_0, values = (var_1051_cast_fp16_4, var_1116_cast_fp16))[name = tensor<string, []>("op_1133_cast_fp16")];
            tensor<string, []> var_1135_equation_0 = const()[name = tensor<string, []>("op_1135_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1135_cast_fp16 = einsum(equation = var_1135_equation_0, values = (var_1051_cast_fp16_5, var_1117_cast_fp16))[name = tensor<string, []>("op_1135_cast_fp16")];
            tensor<string, []> var_1137_equation_0 = const()[name = tensor<string, []>("op_1137_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1137_cast_fp16 = einsum(equation = var_1137_equation_0, values = (var_1051_cast_fp16_6, var_1118_cast_fp16))[name = tensor<string, []>("op_1137_cast_fp16")];
            tensor<string, []> var_1139_equation_0 = const()[name = tensor<string, []>("op_1139_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1139_cast_fp16 = einsum(equation = var_1139_equation_0, values = (var_1051_cast_fp16_7, var_1119_cast_fp16))[name = tensor<string, []>("op_1139_cast_fp16")];
            tensor<string, []> var_1141_equation_0 = const()[name = tensor<string, []>("op_1141_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1141_cast_fp16 = einsum(equation = var_1141_equation_0, values = (var_1051_cast_fp16_8, var_1120_cast_fp16))[name = tensor<string, []>("op_1141_cast_fp16")];
            tensor<string, []> var_1143_equation_0 = const()[name = tensor<string, []>("op_1143_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1143_cast_fp16 = einsum(equation = var_1143_equation_0, values = (var_1051_cast_fp16_9, var_1121_cast_fp16))[name = tensor<string, []>("op_1143_cast_fp16")];
            tensor<string, []> var_1145_equation_0 = const()[name = tensor<string, []>("op_1145_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1145_cast_fp16 = einsum(equation = var_1145_equation_0, values = (var_1051_cast_fp16_10, var_1122_cast_fp16))[name = tensor<string, []>("op_1145_cast_fp16")];
            tensor<string, []> var_1147_equation_0 = const()[name = tensor<string, []>("op_1147_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1147_cast_fp16 = einsum(equation = var_1147_equation_0, values = (var_1051_cast_fp16_11, var_1123_cast_fp16))[name = tensor<string, []>("op_1147_cast_fp16")];
            tensor<bool, []> input_25_interleave_0 = const()[name = tensor<string, []>("input_25_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_25_cast_fp16 = concat(axis = var_15, interleave = input_25_interleave_0, values = (var_1125_cast_fp16, var_1127_cast_fp16, var_1129_cast_fp16, var_1131_cast_fp16, var_1133_cast_fp16, var_1135_cast_fp16, var_1137_cast_fp16, var_1139_cast_fp16, var_1141_cast_fp16, var_1143_cast_fp16, var_1145_cast_fp16, var_1147_cast_fp16))[name = tensor<string, []>("input_25_cast_fp16")];
            tensor<int32, [2]> var_1152 = const()[name = tensor<string, []>("op_1152"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1154 = const()[name = tensor<string, []>("op_1154"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1156_pad_type_0 = const()[name = tensor<string, []>("op_1156_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1156_pad_0 = const()[name = tensor<string, []>("op_1156_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67431424)))];
            tensor<fp16, [16, 768, 1, 122]> var_1156_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_attn_out_proj_bias_to_fp16, dilations = var_1154, groups = var_15, pad = var_1156_pad_0, pad_type = var_1156_pad_type_0, strides = var_1152, weight = vision_model_transformer_resblocks_4_attn_out_proj_weight_cast_fp16, x = input_25_cast_fp16)[name = tensor<string, []>("op_1156_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_23_cast_fp16 = add(x = inputs_21_cast_fp16, y = var_1156_cast_fp16)[name = tensor<string, []>("inputs_23_cast_fp16")];
            tensor<int32, [1]> out_21_axes_0 = const()[name = tensor<string, []>("out_21_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1166_to_fp16 = const()[name = tensor<string, []>("op_1166_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_21_cast_fp16 = layer_norm(axes = out_21_axes_0, epsilon = var_1166_to_fp16, x = inputs_23_cast_fp16)[name = tensor<string, []>("out_21_cast_fp16")];
            tensor<fp16, [768]> input_27_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_27_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67433024)))];
            tensor<fp16, [768]> input_27_beta_0_to_fp16 = const()[name = tensor<string, []>("input_27_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67434624)))];
            tensor<fp16, []> input_27_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_27_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_27_cast_fp16 = batch_norm(beta = input_27_beta_0_to_fp16, epsilon = input_27_epsilon_0_to_fp16, gamma = input_27_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_21_cast_fp16)[name = tensor<string, []>("input_27_cast_fp16")];
            tensor<int32, [2]> var_1180 = const()[name = tensor<string, []>("op_1180"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1182 = const()[name = tensor<string, []>("op_1182"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_19_pad_type_0 = const()[name = tensor<string, []>("x_19_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_19_pad_0 = const()[name = tensor<string, []>("x_19_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_4_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67436224)))];
            tensor<fp16, [16, 3072, 1, 122]> x_19_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_mlp_c_fc_bias_to_fp16, dilations = var_1182, groups = var_15, pad = x_19_pad_0, pad_type = x_19_pad_type_0, strides = var_1180, weight = vision_model_transformer_resblocks_4_mlp_c_fc_weight_cast_fp16, x = input_27_cast_fp16)[name = tensor<string, []>("x_19_cast_fp16")];
            tensor<fp16, []> var_1185_to_fp16 = const()[name = tensor<string, []>("op_1185_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_1186_cast_fp16 = mul(x = x_19_cast_fp16, y = var_1185_to_fp16)[name = tensor<string, []>("op_1186_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_1187_cast_fp16 = sigmoid(x = var_1186_cast_fp16)[name = tensor<string, []>("op_1187_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_29_cast_fp16 = mul(x = x_19_cast_fp16, y = var_1187_cast_fp16)[name = tensor<string, []>("input_29_cast_fp16")];
            tensor<int32, [2]> var_1191 = const()[name = tensor<string, []>("op_1191"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1193 = const()[name = tensor<string, []>("op_1193"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1195_pad_type_0 = const()[name = tensor<string, []>("op_1195_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1195_pad_0 = const()[name = tensor<string, []>("op_1195_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_4_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_4_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67442432)))];
            tensor<fp16, [16, 768, 1, 122]> var_1195_cast_fp16 = conv(bias = vision_model_transformer_resblocks_4_mlp_c_proj_bias_to_fp16, dilations = var_1193, groups = var_15, pad = var_1195_pad_0, pad_type = var_1195_pad_type_0, strides = var_1191, weight = vision_model_transformer_resblocks_4_mlp_c_proj_weight_cast_fp16, x = input_29_cast_fp16)[name = tensor<string, []>("op_1195_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_25_cast_fp16 = add(x = inputs_23_cast_fp16, y = var_1195_cast_fp16)[name = tensor<string, []>("inputs_25_cast_fp16")];
            tensor<int32, [1]> out_23_axes_0 = const()[name = tensor<string, []>("out_23_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1209_to_fp16 = const()[name = tensor<string, []>("op_1209_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_23_cast_fp16 = layer_norm(axes = out_23_axes_0, epsilon = var_1209_to_fp16, x = inputs_25_cast_fp16)[name = tensor<string, []>("out_23_cast_fp16")];
            tensor<fp16, [768]> query_11_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_11_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67444032)))];
            tensor<fp16, [768]> query_11_beta_0_to_fp16 = const()[name = tensor<string, []>("query_11_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67445632)))];
            tensor<fp16, []> query_11_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_11_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_11_cast_fp16 = batch_norm(beta = query_11_beta_0_to_fp16, epsilon = query_11_epsilon_0_to_fp16, gamma = query_11_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_23_cast_fp16)[name = tensor<string, []>("query_11_cast_fp16")];
            tensor<int32, [2]> var_1225 = const()[name = tensor<string, []>("op_1225"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1227 = const()[name = tensor<string, []>("op_1227"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1229_pad_type_0 = const()[name = tensor<string, []>("op_1229_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1229_pad_0 = const()[name = tensor<string, []>("op_1229_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67447232)))];
            tensor<fp16, [16, 768, 1, 122]> var_1229_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_query_bias_to_fp16, dilations = var_1227, groups = var_15, pad = var_1229_pad_0, pad_type = var_1229_pad_type_0, strides = var_1225, weight = vision_model_transformer_resblocks_5_attn_query_weight_cast_fp16, x = query_11_cast_fp16)[name = tensor<string, []>("op_1229_cast_fp16")];
            tensor<int32, [2]> var_1232 = const()[name = tensor<string, []>("op_1232"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1234 = const()[name = tensor<string, []>("op_1234"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_11_pad_type_0 = const()[name = tensor<string, []>("k_11_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_11_pad_0 = const()[name = tensor<string, []>("k_11_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67448832)))];
            tensor<fp16, [16, 768, 1, 122]> k_11_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_key_bias_to_fp16, dilations = var_1234, groups = var_15, pad = k_11_pad_0, pad_type = k_11_pad_type_0, strides = var_1232, weight = vision_model_transformer_resblocks_5_attn_key_weight_cast_fp16, x = query_11_cast_fp16)[name = tensor<string, []>("k_11_cast_fp16")];
            tensor<int32, [2]> var_1239 = const()[name = tensor<string, []>("op_1239"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1241 = const()[name = tensor<string, []>("op_1241"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1243_pad_type_0 = const()[name = tensor<string, []>("op_1243_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1243_pad_0 = const()[name = tensor<string, []>("op_1243_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67450432)))];
            tensor<fp16, [16, 768, 1, 122]> var_1243_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_value_bias_to_fp16, dilations = var_1241, groups = var_15, pad = var_1243_pad_0, pad_type = var_1243_pad_type_0, strides = var_1239, weight = vision_model_transformer_resblocks_5_attn_value_weight_cast_fp16, x = query_11_cast_fp16)[name = tensor<string, []>("op_1243_cast_fp16")];
            tensor<int32, [12]> tile_15 = const()[name = tensor<string, []>("tile_15"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1244_axis_0 = const()[name = tensor<string, []>("op_1244_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1244_cast_fp16_11 = split(axis = var_1244_axis_0, split_sizes = tile_15, x = var_1229_cast_fp16)[name = tensor<string, []>("op_1244_cast_fp16")];
            tensor<int32, [4]> var_1257_perm_0 = const()[name = tensor<string, []>("op_1257_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_16 = const()[name = tensor<string, []>("tile_16"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1258_axis_0 = const()[name = tensor<string, []>("op_1258_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_8 = transpose(perm = var_1257_perm_0, x = k_11_cast_fp16)[name = tensor<string, []>("transpose_8")];
            tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_1258_cast_fp16_11 = split(axis = var_1258_axis_0, split_sizes = tile_16, x = transpose_8)[name = tensor<string, []>("op_1258_cast_fp16")];
            tensor<int32, [12]> tile_17 = const()[name = tensor<string, []>("tile_17"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1271_axis_0 = const()[name = tensor<string, []>("op_1271_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1271_cast_fp16_11 = split(axis = var_1271_axis_0, split_sizes = tile_17, x = var_1243_cast_fp16)[name = tensor<string, []>("op_1271_cast_fp16")];
            tensor<string, []> var_1285_equation_0 = const()[name = tensor<string, []>("op_1285_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1285_cast_fp16 = einsum(equation = var_1285_equation_0, values = (var_1258_cast_fp16_0, var_1244_cast_fp16_0))[name = tensor<string, []>("op_1285_cast_fp16")];
            tensor<fp16, []> var_1286_to_fp16 = const()[name = tensor<string, []>("op_1286_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_121_cast_fp16 = mul(x = var_1285_cast_fp16, y = var_1286_to_fp16)[name = tensor<string, []>("aw_121_cast_fp16")];
            tensor<string, []> var_1289_equation_0 = const()[name = tensor<string, []>("op_1289_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1289_cast_fp16 = einsum(equation = var_1289_equation_0, values = (var_1258_cast_fp16_1, var_1244_cast_fp16_1))[name = tensor<string, []>("op_1289_cast_fp16")];
            tensor<fp16, []> var_1290_to_fp16 = const()[name = tensor<string, []>("op_1290_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_123_cast_fp16 = mul(x = var_1289_cast_fp16, y = var_1290_to_fp16)[name = tensor<string, []>("aw_123_cast_fp16")];
            tensor<string, []> var_1293_equation_0 = const()[name = tensor<string, []>("op_1293_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1293_cast_fp16 = einsum(equation = var_1293_equation_0, values = (var_1258_cast_fp16_2, var_1244_cast_fp16_2))[name = tensor<string, []>("op_1293_cast_fp16")];
            tensor<fp16, []> var_1294_to_fp16 = const()[name = tensor<string, []>("op_1294_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_125_cast_fp16 = mul(x = var_1293_cast_fp16, y = var_1294_to_fp16)[name = tensor<string, []>("aw_125_cast_fp16")];
            tensor<string, []> var_1297_equation_0 = const()[name = tensor<string, []>("op_1297_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1297_cast_fp16 = einsum(equation = var_1297_equation_0, values = (var_1258_cast_fp16_3, var_1244_cast_fp16_3))[name = tensor<string, []>("op_1297_cast_fp16")];
            tensor<fp16, []> var_1298_to_fp16 = const()[name = tensor<string, []>("op_1298_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_127_cast_fp16 = mul(x = var_1297_cast_fp16, y = var_1298_to_fp16)[name = tensor<string, []>("aw_127_cast_fp16")];
            tensor<string, []> var_1301_equation_0 = const()[name = tensor<string, []>("op_1301_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1301_cast_fp16 = einsum(equation = var_1301_equation_0, values = (var_1258_cast_fp16_4, var_1244_cast_fp16_4))[name = tensor<string, []>("op_1301_cast_fp16")];
            tensor<fp16, []> var_1302_to_fp16 = const()[name = tensor<string, []>("op_1302_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_129_cast_fp16 = mul(x = var_1301_cast_fp16, y = var_1302_to_fp16)[name = tensor<string, []>("aw_129_cast_fp16")];
            tensor<string, []> var_1305_equation_0 = const()[name = tensor<string, []>("op_1305_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1305_cast_fp16 = einsum(equation = var_1305_equation_0, values = (var_1258_cast_fp16_5, var_1244_cast_fp16_5))[name = tensor<string, []>("op_1305_cast_fp16")];
            tensor<fp16, []> var_1306_to_fp16 = const()[name = tensor<string, []>("op_1306_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_131_cast_fp16 = mul(x = var_1305_cast_fp16, y = var_1306_to_fp16)[name = tensor<string, []>("aw_131_cast_fp16")];
            tensor<string, []> var_1309_equation_0 = const()[name = tensor<string, []>("op_1309_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1309_cast_fp16 = einsum(equation = var_1309_equation_0, values = (var_1258_cast_fp16_6, var_1244_cast_fp16_6))[name = tensor<string, []>("op_1309_cast_fp16")];
            tensor<fp16, []> var_1310_to_fp16 = const()[name = tensor<string, []>("op_1310_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_133_cast_fp16 = mul(x = var_1309_cast_fp16, y = var_1310_to_fp16)[name = tensor<string, []>("aw_133_cast_fp16")];
            tensor<string, []> var_1313_equation_0 = const()[name = tensor<string, []>("op_1313_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1313_cast_fp16 = einsum(equation = var_1313_equation_0, values = (var_1258_cast_fp16_7, var_1244_cast_fp16_7))[name = tensor<string, []>("op_1313_cast_fp16")];
            tensor<fp16, []> var_1314_to_fp16 = const()[name = tensor<string, []>("op_1314_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_135_cast_fp16 = mul(x = var_1313_cast_fp16, y = var_1314_to_fp16)[name = tensor<string, []>("aw_135_cast_fp16")];
            tensor<string, []> var_1317_equation_0 = const()[name = tensor<string, []>("op_1317_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1317_cast_fp16 = einsum(equation = var_1317_equation_0, values = (var_1258_cast_fp16_8, var_1244_cast_fp16_8))[name = tensor<string, []>("op_1317_cast_fp16")];
            tensor<fp16, []> var_1318_to_fp16 = const()[name = tensor<string, []>("op_1318_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_137_cast_fp16 = mul(x = var_1317_cast_fp16, y = var_1318_to_fp16)[name = tensor<string, []>("aw_137_cast_fp16")];
            tensor<string, []> var_1321_equation_0 = const()[name = tensor<string, []>("op_1321_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1321_cast_fp16 = einsum(equation = var_1321_equation_0, values = (var_1258_cast_fp16_9, var_1244_cast_fp16_9))[name = tensor<string, []>("op_1321_cast_fp16")];
            tensor<fp16, []> var_1322_to_fp16 = const()[name = tensor<string, []>("op_1322_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_139_cast_fp16 = mul(x = var_1321_cast_fp16, y = var_1322_to_fp16)[name = tensor<string, []>("aw_139_cast_fp16")];
            tensor<string, []> var_1325_equation_0 = const()[name = tensor<string, []>("op_1325_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1325_cast_fp16 = einsum(equation = var_1325_equation_0, values = (var_1258_cast_fp16_10, var_1244_cast_fp16_10))[name = tensor<string, []>("op_1325_cast_fp16")];
            tensor<fp16, []> var_1326_to_fp16 = const()[name = tensor<string, []>("op_1326_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_141_cast_fp16 = mul(x = var_1325_cast_fp16, y = var_1326_to_fp16)[name = tensor<string, []>("aw_141_cast_fp16")];
            tensor<string, []> var_1329_equation_0 = const()[name = tensor<string, []>("op_1329_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1329_cast_fp16 = einsum(equation = var_1329_equation_0, values = (var_1258_cast_fp16_11, var_1244_cast_fp16_11))[name = tensor<string, []>("op_1329_cast_fp16")];
            tensor<fp16, []> var_1330_to_fp16 = const()[name = tensor<string, []>("op_1330_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_143_cast_fp16 = mul(x = var_1329_cast_fp16, y = var_1330_to_fp16)[name = tensor<string, []>("aw_143_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1332_cast_fp16 = softmax(axis = var_15, x = aw_121_cast_fp16)[name = tensor<string, []>("op_1332_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1333_cast_fp16 = softmax(axis = var_15, x = aw_123_cast_fp16)[name = tensor<string, []>("op_1333_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1334_cast_fp16 = softmax(axis = var_15, x = aw_125_cast_fp16)[name = tensor<string, []>("op_1334_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1335_cast_fp16 = softmax(axis = var_15, x = aw_127_cast_fp16)[name = tensor<string, []>("op_1335_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1336_cast_fp16 = softmax(axis = var_15, x = aw_129_cast_fp16)[name = tensor<string, []>("op_1336_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1337_cast_fp16 = softmax(axis = var_15, x = aw_131_cast_fp16)[name = tensor<string, []>("op_1337_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1338_cast_fp16 = softmax(axis = var_15, x = aw_133_cast_fp16)[name = tensor<string, []>("op_1338_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1339_cast_fp16 = softmax(axis = var_15, x = aw_135_cast_fp16)[name = tensor<string, []>("op_1339_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1340_cast_fp16 = softmax(axis = var_15, x = aw_137_cast_fp16)[name = tensor<string, []>("op_1340_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1341_cast_fp16 = softmax(axis = var_15, x = aw_139_cast_fp16)[name = tensor<string, []>("op_1341_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1342_cast_fp16 = softmax(axis = var_15, x = aw_141_cast_fp16)[name = tensor<string, []>("op_1342_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1343_cast_fp16 = softmax(axis = var_15, x = aw_143_cast_fp16)[name = tensor<string, []>("op_1343_cast_fp16")];
            tensor<string, []> var_1345_equation_0 = const()[name = tensor<string, []>("op_1345_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1345_cast_fp16 = einsum(equation = var_1345_equation_0, values = (var_1271_cast_fp16_0, var_1332_cast_fp16))[name = tensor<string, []>("op_1345_cast_fp16")];
            tensor<string, []> var_1347_equation_0 = const()[name = tensor<string, []>("op_1347_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1347_cast_fp16 = einsum(equation = var_1347_equation_0, values = (var_1271_cast_fp16_1, var_1333_cast_fp16))[name = tensor<string, []>("op_1347_cast_fp16")];
            tensor<string, []> var_1349_equation_0 = const()[name = tensor<string, []>("op_1349_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1349_cast_fp16 = einsum(equation = var_1349_equation_0, values = (var_1271_cast_fp16_2, var_1334_cast_fp16))[name = tensor<string, []>("op_1349_cast_fp16")];
            tensor<string, []> var_1351_equation_0 = const()[name = tensor<string, []>("op_1351_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1351_cast_fp16 = einsum(equation = var_1351_equation_0, values = (var_1271_cast_fp16_3, var_1335_cast_fp16))[name = tensor<string, []>("op_1351_cast_fp16")];
            tensor<string, []> var_1353_equation_0 = const()[name = tensor<string, []>("op_1353_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1353_cast_fp16 = einsum(equation = var_1353_equation_0, values = (var_1271_cast_fp16_4, var_1336_cast_fp16))[name = tensor<string, []>("op_1353_cast_fp16")];
            tensor<string, []> var_1355_equation_0 = const()[name = tensor<string, []>("op_1355_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1355_cast_fp16 = einsum(equation = var_1355_equation_0, values = (var_1271_cast_fp16_5, var_1337_cast_fp16))[name = tensor<string, []>("op_1355_cast_fp16")];
            tensor<string, []> var_1357_equation_0 = const()[name = tensor<string, []>("op_1357_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1357_cast_fp16 = einsum(equation = var_1357_equation_0, values = (var_1271_cast_fp16_6, var_1338_cast_fp16))[name = tensor<string, []>("op_1357_cast_fp16")];
            tensor<string, []> var_1359_equation_0 = const()[name = tensor<string, []>("op_1359_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1359_cast_fp16 = einsum(equation = var_1359_equation_0, values = (var_1271_cast_fp16_7, var_1339_cast_fp16))[name = tensor<string, []>("op_1359_cast_fp16")];
            tensor<string, []> var_1361_equation_0 = const()[name = tensor<string, []>("op_1361_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1361_cast_fp16 = einsum(equation = var_1361_equation_0, values = (var_1271_cast_fp16_8, var_1340_cast_fp16))[name = tensor<string, []>("op_1361_cast_fp16")];
            tensor<string, []> var_1363_equation_0 = const()[name = tensor<string, []>("op_1363_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1363_cast_fp16 = einsum(equation = var_1363_equation_0, values = (var_1271_cast_fp16_9, var_1341_cast_fp16))[name = tensor<string, []>("op_1363_cast_fp16")];
            tensor<string, []> var_1365_equation_0 = const()[name = tensor<string, []>("op_1365_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1365_cast_fp16 = einsum(equation = var_1365_equation_0, values = (var_1271_cast_fp16_10, var_1342_cast_fp16))[name = tensor<string, []>("op_1365_cast_fp16")];
            tensor<string, []> var_1367_equation_0 = const()[name = tensor<string, []>("op_1367_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1367_cast_fp16 = einsum(equation = var_1367_equation_0, values = (var_1271_cast_fp16_11, var_1343_cast_fp16))[name = tensor<string, []>("op_1367_cast_fp16")];
            tensor<bool, []> input_31_interleave_0 = const()[name = tensor<string, []>("input_31_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_31_cast_fp16 = concat(axis = var_15, interleave = input_31_interleave_0, values = (var_1345_cast_fp16, var_1347_cast_fp16, var_1349_cast_fp16, var_1351_cast_fp16, var_1353_cast_fp16, var_1355_cast_fp16, var_1357_cast_fp16, var_1359_cast_fp16, var_1361_cast_fp16, var_1363_cast_fp16, var_1365_cast_fp16, var_1367_cast_fp16))[name = tensor<string, []>("input_31_cast_fp16")];
            tensor<int32, [2]> var_1372 = const()[name = tensor<string, []>("op_1372"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1374 = const()[name = tensor<string, []>("op_1374"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1376_pad_type_0 = const()[name = tensor<string, []>("op_1376_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1376_pad_0 = const()[name = tensor<string, []>("op_1376_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67452032)))];
            tensor<fp16, [16, 768, 1, 122]> var_1376_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_attn_out_proj_bias_to_fp16, dilations = var_1374, groups = var_15, pad = var_1376_pad_0, pad_type = var_1376_pad_type_0, strides = var_1372, weight = vision_model_transformer_resblocks_5_attn_out_proj_weight_cast_fp16, x = input_31_cast_fp16)[name = tensor<string, []>("op_1376_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_27_cast_fp16 = add(x = inputs_25_cast_fp16, y = var_1376_cast_fp16)[name = tensor<string, []>("inputs_27_cast_fp16")];
            tensor<int32, [1]> out_25_axes_0 = const()[name = tensor<string, []>("out_25_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1386_to_fp16 = const()[name = tensor<string, []>("op_1386_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_25_cast_fp16 = layer_norm(axes = out_25_axes_0, epsilon = var_1386_to_fp16, x = inputs_27_cast_fp16)[name = tensor<string, []>("out_25_cast_fp16")];
            tensor<fp16, [768]> input_33_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_33_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67453632)))];
            tensor<fp16, [768]> input_33_beta_0_to_fp16 = const()[name = tensor<string, []>("input_33_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67455232)))];
            tensor<fp16, []> input_33_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_33_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_33_cast_fp16 = batch_norm(beta = input_33_beta_0_to_fp16, epsilon = input_33_epsilon_0_to_fp16, gamma = input_33_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_25_cast_fp16)[name = tensor<string, []>("input_33_cast_fp16")];
            tensor<int32, [2]> var_1400 = const()[name = tensor<string, []>("op_1400"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1402 = const()[name = tensor<string, []>("op_1402"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_21_pad_type_0 = const()[name = tensor<string, []>("x_21_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_21_pad_0 = const()[name = tensor<string, []>("x_21_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_5_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67456832)))];
            tensor<fp16, [16, 3072, 1, 122]> x_21_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_mlp_c_fc_bias_to_fp16, dilations = var_1402, groups = var_15, pad = x_21_pad_0, pad_type = x_21_pad_type_0, strides = var_1400, weight = vision_model_transformer_resblocks_5_mlp_c_fc_weight_cast_fp16, x = input_33_cast_fp16)[name = tensor<string, []>("x_21_cast_fp16")];
            tensor<fp16, []> var_1405_to_fp16 = const()[name = tensor<string, []>("op_1405_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_1406_cast_fp16 = mul(x = x_21_cast_fp16, y = var_1405_to_fp16)[name = tensor<string, []>("op_1406_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_1407_cast_fp16 = sigmoid(x = var_1406_cast_fp16)[name = tensor<string, []>("op_1407_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_35_cast_fp16 = mul(x = x_21_cast_fp16, y = var_1407_cast_fp16)[name = tensor<string, []>("input_35_cast_fp16")];
            tensor<int32, [2]> var_1411 = const()[name = tensor<string, []>("op_1411"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1413 = const()[name = tensor<string, []>("op_1413"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1415_pad_type_0 = const()[name = tensor<string, []>("op_1415_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1415_pad_0 = const()[name = tensor<string, []>("op_1415_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_5_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_5_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67463040)))];
            tensor<fp16, [16, 768, 1, 122]> var_1415_cast_fp16 = conv(bias = vision_model_transformer_resblocks_5_mlp_c_proj_bias_to_fp16, dilations = var_1413, groups = var_15, pad = var_1415_pad_0, pad_type = var_1415_pad_type_0, strides = var_1411, weight = vision_model_transformer_resblocks_5_mlp_c_proj_weight_cast_fp16, x = input_35_cast_fp16)[name = tensor<string, []>("op_1415_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_29_cast_fp16 = add(x = inputs_27_cast_fp16, y = var_1415_cast_fp16)[name = tensor<string, []>("inputs_29_cast_fp16")];
            tensor<int32, [1]> out_27_axes_0 = const()[name = tensor<string, []>("out_27_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1429_to_fp16 = const()[name = tensor<string, []>("op_1429_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_27_cast_fp16 = layer_norm(axes = out_27_axes_0, epsilon = var_1429_to_fp16, x = inputs_29_cast_fp16)[name = tensor<string, []>("out_27_cast_fp16")];
            tensor<fp16, [768]> query_13_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_13_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67464640)))];
            tensor<fp16, [768]> query_13_beta_0_to_fp16 = const()[name = tensor<string, []>("query_13_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67466240)))];
            tensor<fp16, []> query_13_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_13_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_13_cast_fp16 = batch_norm(beta = query_13_beta_0_to_fp16, epsilon = query_13_epsilon_0_to_fp16, gamma = query_13_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_27_cast_fp16)[name = tensor<string, []>("query_13_cast_fp16")];
            tensor<int32, [2]> var_1445 = const()[name = tensor<string, []>("op_1445"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1447 = const()[name = tensor<string, []>("op_1447"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1449_pad_type_0 = const()[name = tensor<string, []>("op_1449_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1449_pad_0 = const()[name = tensor<string, []>("op_1449_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67467840)))];
            tensor<fp16, [16, 768, 1, 122]> var_1449_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_query_bias_to_fp16, dilations = var_1447, groups = var_15, pad = var_1449_pad_0, pad_type = var_1449_pad_type_0, strides = var_1445, weight = vision_model_transformer_resblocks_6_attn_query_weight_cast_fp16, x = query_13_cast_fp16)[name = tensor<string, []>("op_1449_cast_fp16")];
            tensor<int32, [2]> var_1452 = const()[name = tensor<string, []>("op_1452"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1454 = const()[name = tensor<string, []>("op_1454"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_13_pad_type_0 = const()[name = tensor<string, []>("k_13_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_13_pad_0 = const()[name = tensor<string, []>("k_13_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67469440)))];
            tensor<fp16, [16, 768, 1, 122]> k_13_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_key_bias_to_fp16, dilations = var_1454, groups = var_15, pad = k_13_pad_0, pad_type = k_13_pad_type_0, strides = var_1452, weight = vision_model_transformer_resblocks_6_attn_key_weight_cast_fp16, x = query_13_cast_fp16)[name = tensor<string, []>("k_13_cast_fp16")];
            tensor<int32, [2]> var_1459 = const()[name = tensor<string, []>("op_1459"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1461 = const()[name = tensor<string, []>("op_1461"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1463_pad_type_0 = const()[name = tensor<string, []>("op_1463_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1463_pad_0 = const()[name = tensor<string, []>("op_1463_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67471040)))];
            tensor<fp16, [16, 768, 1, 122]> var_1463_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_value_bias_to_fp16, dilations = var_1461, groups = var_15, pad = var_1463_pad_0, pad_type = var_1463_pad_type_0, strides = var_1459, weight = vision_model_transformer_resblocks_6_attn_value_weight_cast_fp16, x = query_13_cast_fp16)[name = tensor<string, []>("op_1463_cast_fp16")];
            tensor<int32, [12]> tile_18 = const()[name = tensor<string, []>("tile_18"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1464_axis_0 = const()[name = tensor<string, []>("op_1464_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1464_cast_fp16_11 = split(axis = var_1464_axis_0, split_sizes = tile_18, x = var_1449_cast_fp16)[name = tensor<string, []>("op_1464_cast_fp16")];
            tensor<int32, [4]> var_1477_perm_0 = const()[name = tensor<string, []>("op_1477_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_19 = const()[name = tensor<string, []>("tile_19"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1478_axis_0 = const()[name = tensor<string, []>("op_1478_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_7 = transpose(perm = var_1477_perm_0, x = k_13_cast_fp16)[name = tensor<string, []>("transpose_7")];
            tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_1478_cast_fp16_11 = split(axis = var_1478_axis_0, split_sizes = tile_19, x = transpose_7)[name = tensor<string, []>("op_1478_cast_fp16")];
            tensor<int32, [12]> tile_20 = const()[name = tensor<string, []>("tile_20"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1491_axis_0 = const()[name = tensor<string, []>("op_1491_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1491_cast_fp16_11 = split(axis = var_1491_axis_0, split_sizes = tile_20, x = var_1463_cast_fp16)[name = tensor<string, []>("op_1491_cast_fp16")];
            tensor<string, []> var_1505_equation_0 = const()[name = tensor<string, []>("op_1505_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1505_cast_fp16 = einsum(equation = var_1505_equation_0, values = (var_1478_cast_fp16_0, var_1464_cast_fp16_0))[name = tensor<string, []>("op_1505_cast_fp16")];
            tensor<fp16, []> var_1506_to_fp16 = const()[name = tensor<string, []>("op_1506_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_145_cast_fp16 = mul(x = var_1505_cast_fp16, y = var_1506_to_fp16)[name = tensor<string, []>("aw_145_cast_fp16")];
            tensor<string, []> var_1509_equation_0 = const()[name = tensor<string, []>("op_1509_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1509_cast_fp16 = einsum(equation = var_1509_equation_0, values = (var_1478_cast_fp16_1, var_1464_cast_fp16_1))[name = tensor<string, []>("op_1509_cast_fp16")];
            tensor<fp16, []> var_1510_to_fp16 = const()[name = tensor<string, []>("op_1510_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_147_cast_fp16 = mul(x = var_1509_cast_fp16, y = var_1510_to_fp16)[name = tensor<string, []>("aw_147_cast_fp16")];
            tensor<string, []> var_1513_equation_0 = const()[name = tensor<string, []>("op_1513_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1513_cast_fp16 = einsum(equation = var_1513_equation_0, values = (var_1478_cast_fp16_2, var_1464_cast_fp16_2))[name = tensor<string, []>("op_1513_cast_fp16")];
            tensor<fp16, []> var_1514_to_fp16 = const()[name = tensor<string, []>("op_1514_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_149_cast_fp16 = mul(x = var_1513_cast_fp16, y = var_1514_to_fp16)[name = tensor<string, []>("aw_149_cast_fp16")];
            tensor<string, []> var_1517_equation_0 = const()[name = tensor<string, []>("op_1517_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1517_cast_fp16 = einsum(equation = var_1517_equation_0, values = (var_1478_cast_fp16_3, var_1464_cast_fp16_3))[name = tensor<string, []>("op_1517_cast_fp16")];
            tensor<fp16, []> var_1518_to_fp16 = const()[name = tensor<string, []>("op_1518_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_151_cast_fp16 = mul(x = var_1517_cast_fp16, y = var_1518_to_fp16)[name = tensor<string, []>("aw_151_cast_fp16")];
            tensor<string, []> var_1521_equation_0 = const()[name = tensor<string, []>("op_1521_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1521_cast_fp16 = einsum(equation = var_1521_equation_0, values = (var_1478_cast_fp16_4, var_1464_cast_fp16_4))[name = tensor<string, []>("op_1521_cast_fp16")];
            tensor<fp16, []> var_1522_to_fp16 = const()[name = tensor<string, []>("op_1522_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_153_cast_fp16 = mul(x = var_1521_cast_fp16, y = var_1522_to_fp16)[name = tensor<string, []>("aw_153_cast_fp16")];
            tensor<string, []> var_1525_equation_0 = const()[name = tensor<string, []>("op_1525_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1525_cast_fp16 = einsum(equation = var_1525_equation_0, values = (var_1478_cast_fp16_5, var_1464_cast_fp16_5))[name = tensor<string, []>("op_1525_cast_fp16")];
            tensor<fp16, []> var_1526_to_fp16 = const()[name = tensor<string, []>("op_1526_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_155_cast_fp16 = mul(x = var_1525_cast_fp16, y = var_1526_to_fp16)[name = tensor<string, []>("aw_155_cast_fp16")];
            tensor<string, []> var_1529_equation_0 = const()[name = tensor<string, []>("op_1529_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1529_cast_fp16 = einsum(equation = var_1529_equation_0, values = (var_1478_cast_fp16_6, var_1464_cast_fp16_6))[name = tensor<string, []>("op_1529_cast_fp16")];
            tensor<fp16, []> var_1530_to_fp16 = const()[name = tensor<string, []>("op_1530_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_157_cast_fp16 = mul(x = var_1529_cast_fp16, y = var_1530_to_fp16)[name = tensor<string, []>("aw_157_cast_fp16")];
            tensor<string, []> var_1533_equation_0 = const()[name = tensor<string, []>("op_1533_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1533_cast_fp16 = einsum(equation = var_1533_equation_0, values = (var_1478_cast_fp16_7, var_1464_cast_fp16_7))[name = tensor<string, []>("op_1533_cast_fp16")];
            tensor<fp16, []> var_1534_to_fp16 = const()[name = tensor<string, []>("op_1534_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_159_cast_fp16 = mul(x = var_1533_cast_fp16, y = var_1534_to_fp16)[name = tensor<string, []>("aw_159_cast_fp16")];
            tensor<string, []> var_1537_equation_0 = const()[name = tensor<string, []>("op_1537_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1537_cast_fp16 = einsum(equation = var_1537_equation_0, values = (var_1478_cast_fp16_8, var_1464_cast_fp16_8))[name = tensor<string, []>("op_1537_cast_fp16")];
            tensor<fp16, []> var_1538_to_fp16 = const()[name = tensor<string, []>("op_1538_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_161_cast_fp16 = mul(x = var_1537_cast_fp16, y = var_1538_to_fp16)[name = tensor<string, []>("aw_161_cast_fp16")];
            tensor<string, []> var_1541_equation_0 = const()[name = tensor<string, []>("op_1541_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1541_cast_fp16 = einsum(equation = var_1541_equation_0, values = (var_1478_cast_fp16_9, var_1464_cast_fp16_9))[name = tensor<string, []>("op_1541_cast_fp16")];
            tensor<fp16, []> var_1542_to_fp16 = const()[name = tensor<string, []>("op_1542_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_163_cast_fp16 = mul(x = var_1541_cast_fp16, y = var_1542_to_fp16)[name = tensor<string, []>("aw_163_cast_fp16")];
            tensor<string, []> var_1545_equation_0 = const()[name = tensor<string, []>("op_1545_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1545_cast_fp16 = einsum(equation = var_1545_equation_0, values = (var_1478_cast_fp16_10, var_1464_cast_fp16_10))[name = tensor<string, []>("op_1545_cast_fp16")];
            tensor<fp16, []> var_1546_to_fp16 = const()[name = tensor<string, []>("op_1546_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_165_cast_fp16 = mul(x = var_1545_cast_fp16, y = var_1546_to_fp16)[name = tensor<string, []>("aw_165_cast_fp16")];
            tensor<string, []> var_1549_equation_0 = const()[name = tensor<string, []>("op_1549_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1549_cast_fp16 = einsum(equation = var_1549_equation_0, values = (var_1478_cast_fp16_11, var_1464_cast_fp16_11))[name = tensor<string, []>("op_1549_cast_fp16")];
            tensor<fp16, []> var_1550_to_fp16 = const()[name = tensor<string, []>("op_1550_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_167_cast_fp16 = mul(x = var_1549_cast_fp16, y = var_1550_to_fp16)[name = tensor<string, []>("aw_167_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1552_cast_fp16 = softmax(axis = var_15, x = aw_145_cast_fp16)[name = tensor<string, []>("op_1552_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1553_cast_fp16 = softmax(axis = var_15, x = aw_147_cast_fp16)[name = tensor<string, []>("op_1553_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1554_cast_fp16 = softmax(axis = var_15, x = aw_149_cast_fp16)[name = tensor<string, []>("op_1554_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1555_cast_fp16 = softmax(axis = var_15, x = aw_151_cast_fp16)[name = tensor<string, []>("op_1555_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1556_cast_fp16 = softmax(axis = var_15, x = aw_153_cast_fp16)[name = tensor<string, []>("op_1556_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1557_cast_fp16 = softmax(axis = var_15, x = aw_155_cast_fp16)[name = tensor<string, []>("op_1557_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1558_cast_fp16 = softmax(axis = var_15, x = aw_157_cast_fp16)[name = tensor<string, []>("op_1558_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1559_cast_fp16 = softmax(axis = var_15, x = aw_159_cast_fp16)[name = tensor<string, []>("op_1559_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1560_cast_fp16 = softmax(axis = var_15, x = aw_161_cast_fp16)[name = tensor<string, []>("op_1560_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1561_cast_fp16 = softmax(axis = var_15, x = aw_163_cast_fp16)[name = tensor<string, []>("op_1561_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1562_cast_fp16 = softmax(axis = var_15, x = aw_165_cast_fp16)[name = tensor<string, []>("op_1562_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1563_cast_fp16 = softmax(axis = var_15, x = aw_167_cast_fp16)[name = tensor<string, []>("op_1563_cast_fp16")];
            tensor<string, []> var_1565_equation_0 = const()[name = tensor<string, []>("op_1565_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1565_cast_fp16 = einsum(equation = var_1565_equation_0, values = (var_1491_cast_fp16_0, var_1552_cast_fp16))[name = tensor<string, []>("op_1565_cast_fp16")];
            tensor<string, []> var_1567_equation_0 = const()[name = tensor<string, []>("op_1567_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1567_cast_fp16 = einsum(equation = var_1567_equation_0, values = (var_1491_cast_fp16_1, var_1553_cast_fp16))[name = tensor<string, []>("op_1567_cast_fp16")];
            tensor<string, []> var_1569_equation_0 = const()[name = tensor<string, []>("op_1569_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1569_cast_fp16 = einsum(equation = var_1569_equation_0, values = (var_1491_cast_fp16_2, var_1554_cast_fp16))[name = tensor<string, []>("op_1569_cast_fp16")];
            tensor<string, []> var_1571_equation_0 = const()[name = tensor<string, []>("op_1571_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1571_cast_fp16 = einsum(equation = var_1571_equation_0, values = (var_1491_cast_fp16_3, var_1555_cast_fp16))[name = tensor<string, []>("op_1571_cast_fp16")];
            tensor<string, []> var_1573_equation_0 = const()[name = tensor<string, []>("op_1573_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1573_cast_fp16 = einsum(equation = var_1573_equation_0, values = (var_1491_cast_fp16_4, var_1556_cast_fp16))[name = tensor<string, []>("op_1573_cast_fp16")];
            tensor<string, []> var_1575_equation_0 = const()[name = tensor<string, []>("op_1575_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1575_cast_fp16 = einsum(equation = var_1575_equation_0, values = (var_1491_cast_fp16_5, var_1557_cast_fp16))[name = tensor<string, []>("op_1575_cast_fp16")];
            tensor<string, []> var_1577_equation_0 = const()[name = tensor<string, []>("op_1577_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1577_cast_fp16 = einsum(equation = var_1577_equation_0, values = (var_1491_cast_fp16_6, var_1558_cast_fp16))[name = tensor<string, []>("op_1577_cast_fp16")];
            tensor<string, []> var_1579_equation_0 = const()[name = tensor<string, []>("op_1579_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1579_cast_fp16 = einsum(equation = var_1579_equation_0, values = (var_1491_cast_fp16_7, var_1559_cast_fp16))[name = tensor<string, []>("op_1579_cast_fp16")];
            tensor<string, []> var_1581_equation_0 = const()[name = tensor<string, []>("op_1581_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1581_cast_fp16 = einsum(equation = var_1581_equation_0, values = (var_1491_cast_fp16_8, var_1560_cast_fp16))[name = tensor<string, []>("op_1581_cast_fp16")];
            tensor<string, []> var_1583_equation_0 = const()[name = tensor<string, []>("op_1583_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1583_cast_fp16 = einsum(equation = var_1583_equation_0, values = (var_1491_cast_fp16_9, var_1561_cast_fp16))[name = tensor<string, []>("op_1583_cast_fp16")];
            tensor<string, []> var_1585_equation_0 = const()[name = tensor<string, []>("op_1585_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1585_cast_fp16 = einsum(equation = var_1585_equation_0, values = (var_1491_cast_fp16_10, var_1562_cast_fp16))[name = tensor<string, []>("op_1585_cast_fp16")];
            tensor<string, []> var_1587_equation_0 = const()[name = tensor<string, []>("op_1587_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1587_cast_fp16 = einsum(equation = var_1587_equation_0, values = (var_1491_cast_fp16_11, var_1563_cast_fp16))[name = tensor<string, []>("op_1587_cast_fp16")];
            tensor<bool, []> input_37_interleave_0 = const()[name = tensor<string, []>("input_37_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_37_cast_fp16 = concat(axis = var_15, interleave = input_37_interleave_0, values = (var_1565_cast_fp16, var_1567_cast_fp16, var_1569_cast_fp16, var_1571_cast_fp16, var_1573_cast_fp16, var_1575_cast_fp16, var_1577_cast_fp16, var_1579_cast_fp16, var_1581_cast_fp16, var_1583_cast_fp16, var_1585_cast_fp16, var_1587_cast_fp16))[name = tensor<string, []>("input_37_cast_fp16")];
            tensor<int32, [2]> var_1592 = const()[name = tensor<string, []>("op_1592"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1594 = const()[name = tensor<string, []>("op_1594"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1596_pad_type_0 = const()[name = tensor<string, []>("op_1596_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1596_pad_0 = const()[name = tensor<string, []>("op_1596_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67472640)))];
            tensor<fp16, [16, 768, 1, 122]> var_1596_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_attn_out_proj_bias_to_fp16, dilations = var_1594, groups = var_15, pad = var_1596_pad_0, pad_type = var_1596_pad_type_0, strides = var_1592, weight = vision_model_transformer_resblocks_6_attn_out_proj_weight_cast_fp16, x = input_37_cast_fp16)[name = tensor<string, []>("op_1596_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_31_cast_fp16 = add(x = inputs_29_cast_fp16, y = var_1596_cast_fp16)[name = tensor<string, []>("inputs_31_cast_fp16")];
            tensor<int32, [1]> out_29_axes_0 = const()[name = tensor<string, []>("out_29_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1606_to_fp16 = const()[name = tensor<string, []>("op_1606_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_29_cast_fp16 = layer_norm(axes = out_29_axes_0, epsilon = var_1606_to_fp16, x = inputs_31_cast_fp16)[name = tensor<string, []>("out_29_cast_fp16")];
            tensor<fp16, [768]> input_39_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_39_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67474240)))];
            tensor<fp16, [768]> input_39_beta_0_to_fp16 = const()[name = tensor<string, []>("input_39_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67475840)))];
            tensor<fp16, []> input_39_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_39_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_39_cast_fp16 = batch_norm(beta = input_39_beta_0_to_fp16, epsilon = input_39_epsilon_0_to_fp16, gamma = input_39_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_29_cast_fp16)[name = tensor<string, []>("input_39_cast_fp16")];
            tensor<int32, [2]> var_1620 = const()[name = tensor<string, []>("op_1620"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1622 = const()[name = tensor<string, []>("op_1622"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_23_pad_type_0 = const()[name = tensor<string, []>("x_23_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_23_pad_0 = const()[name = tensor<string, []>("x_23_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_6_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67477440)))];
            tensor<fp16, [16, 3072, 1, 122]> x_23_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_mlp_c_fc_bias_to_fp16, dilations = var_1622, groups = var_15, pad = x_23_pad_0, pad_type = x_23_pad_type_0, strides = var_1620, weight = vision_model_transformer_resblocks_6_mlp_c_fc_weight_cast_fp16, x = input_39_cast_fp16)[name = tensor<string, []>("x_23_cast_fp16")];
            tensor<fp16, []> var_1625_to_fp16 = const()[name = tensor<string, []>("op_1625_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_1626_cast_fp16 = mul(x = x_23_cast_fp16, y = var_1625_to_fp16)[name = tensor<string, []>("op_1626_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_1627_cast_fp16 = sigmoid(x = var_1626_cast_fp16)[name = tensor<string, []>("op_1627_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_41_cast_fp16 = mul(x = x_23_cast_fp16, y = var_1627_cast_fp16)[name = tensor<string, []>("input_41_cast_fp16")];
            tensor<int32, [2]> var_1631 = const()[name = tensor<string, []>("op_1631"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1633 = const()[name = tensor<string, []>("op_1633"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1635_pad_type_0 = const()[name = tensor<string, []>("op_1635_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1635_pad_0 = const()[name = tensor<string, []>("op_1635_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_6_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_6_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67483648)))];
            tensor<fp16, [16, 768, 1, 122]> var_1635_cast_fp16 = conv(bias = vision_model_transformer_resblocks_6_mlp_c_proj_bias_to_fp16, dilations = var_1633, groups = var_15, pad = var_1635_pad_0, pad_type = var_1635_pad_type_0, strides = var_1631, weight = vision_model_transformer_resblocks_6_mlp_c_proj_weight_cast_fp16, x = input_41_cast_fp16)[name = tensor<string, []>("op_1635_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_33_cast_fp16 = add(x = inputs_31_cast_fp16, y = var_1635_cast_fp16)[name = tensor<string, []>("inputs_33_cast_fp16")];
            tensor<int32, [1]> out_31_axes_0 = const()[name = tensor<string, []>("out_31_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1649_to_fp16 = const()[name = tensor<string, []>("op_1649_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_31_cast_fp16 = layer_norm(axes = out_31_axes_0, epsilon = var_1649_to_fp16, x = inputs_33_cast_fp16)[name = tensor<string, []>("out_31_cast_fp16")];
            tensor<fp16, [768]> query_15_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_15_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67485248)))];
            tensor<fp16, [768]> query_15_beta_0_to_fp16 = const()[name = tensor<string, []>("query_15_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67486848)))];
            tensor<fp16, []> query_15_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_15_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> query_15_cast_fp16 = batch_norm(beta = query_15_beta_0_to_fp16, epsilon = query_15_epsilon_0_to_fp16, gamma = query_15_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_31_cast_fp16)[name = tensor<string, []>("query_15_cast_fp16")];
            tensor<int32, [2]> var_1665 = const()[name = tensor<string, []>("op_1665"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1667 = const()[name = tensor<string, []>("op_1667"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1669_pad_type_0 = const()[name = tensor<string, []>("op_1669_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1669_pad_0 = const()[name = tensor<string, []>("op_1669_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67488448)))];
            tensor<fp16, [16, 768, 1, 122]> var_1669_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_query_bias_to_fp16, dilations = var_1667, groups = var_15, pad = var_1669_pad_0, pad_type = var_1669_pad_type_0, strides = var_1665, weight = vision_model_transformer_resblocks_7_attn_query_weight_cast_fp16, x = query_15_cast_fp16)[name = tensor<string, []>("op_1669_cast_fp16")];
            tensor<int32, [2]> var_1672 = const()[name = tensor<string, []>("op_1672"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1674 = const()[name = tensor<string, []>("op_1674"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_15_pad_type_0 = const()[name = tensor<string, []>("k_15_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_15_pad_0 = const()[name = tensor<string, []>("k_15_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67490048)))];
            tensor<fp16, [16, 768, 1, 122]> k_15_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_key_bias_to_fp16, dilations = var_1674, groups = var_15, pad = k_15_pad_0, pad_type = k_15_pad_type_0, strides = var_1672, weight = vision_model_transformer_resblocks_7_attn_key_weight_cast_fp16, x = query_15_cast_fp16)[name = tensor<string, []>("k_15_cast_fp16")];
            tensor<int32, [2]> var_1679 = const()[name = tensor<string, []>("op_1679"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1681 = const()[name = tensor<string, []>("op_1681"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1683_pad_type_0 = const()[name = tensor<string, []>("op_1683_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1683_pad_0 = const()[name = tensor<string, []>("op_1683_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67491648)))];
            tensor<fp16, [16, 768, 1, 122]> var_1683_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_value_bias_to_fp16, dilations = var_1681, groups = var_15, pad = var_1683_pad_0, pad_type = var_1683_pad_type_0, strides = var_1679, weight = vision_model_transformer_resblocks_7_attn_value_weight_cast_fp16, x = query_15_cast_fp16)[name = tensor<string, []>("op_1683_cast_fp16")];
            tensor<int32, [12]> tile_21 = const()[name = tensor<string, []>("tile_21"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1684_axis_0 = const()[name = tensor<string, []>("op_1684_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1684_cast_fp16_11 = split(axis = var_1684_axis_0, split_sizes = tile_21, x = var_1669_cast_fp16)[name = tensor<string, []>("op_1684_cast_fp16")];
            tensor<int32, [4]> var_1697_perm_0 = const()[name = tensor<string, []>("op_1697_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_22 = const()[name = tensor<string, []>("tile_22"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1698_axis_0 = const()[name = tensor<string, []>("op_1698_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [16, 122, 1, 768]> transpose_6 = transpose(perm = var_1697_perm_0, x = k_15_cast_fp16)[name = tensor<string, []>("transpose_6")];
            tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_0, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_1, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_2, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_3, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_4, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_5, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_6, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_7, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_8, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_9, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_10, tensor<fp16, [16, 122, 1, 64]> var_1698_cast_fp16_11 = split(axis = var_1698_axis_0, split_sizes = tile_22, x = transpose_6)[name = tensor<string, []>("op_1698_cast_fp16")];
            tensor<int32, [12]> tile_23 = const()[name = tensor<string, []>("tile_23"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1711_axis_0 = const()[name = tensor<string, []>("op_1711_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_0, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_1, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_2, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_3, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_4, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_5, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_6, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_7, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_8, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_9, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_10, tensor<fp16, [16, 64, 1, 122]> var_1711_cast_fp16_11 = split(axis = var_1711_axis_0, split_sizes = tile_23, x = var_1683_cast_fp16)[name = tensor<string, []>("op_1711_cast_fp16")];
            tensor<string, []> var_1725_equation_0 = const()[name = tensor<string, []>("op_1725_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1725_cast_fp16 = einsum(equation = var_1725_equation_0, values = (var_1698_cast_fp16_0, var_1684_cast_fp16_0))[name = tensor<string, []>("op_1725_cast_fp16")];
            tensor<fp16, []> var_1726_to_fp16 = const()[name = tensor<string, []>("op_1726_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_169_cast_fp16 = mul(x = var_1725_cast_fp16, y = var_1726_to_fp16)[name = tensor<string, []>("aw_169_cast_fp16")];
            tensor<string, []> var_1729_equation_0 = const()[name = tensor<string, []>("op_1729_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1729_cast_fp16 = einsum(equation = var_1729_equation_0, values = (var_1698_cast_fp16_1, var_1684_cast_fp16_1))[name = tensor<string, []>("op_1729_cast_fp16")];
            tensor<fp16, []> var_1730_to_fp16 = const()[name = tensor<string, []>("op_1730_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_171_cast_fp16 = mul(x = var_1729_cast_fp16, y = var_1730_to_fp16)[name = tensor<string, []>("aw_171_cast_fp16")];
            tensor<string, []> var_1733_equation_0 = const()[name = tensor<string, []>("op_1733_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1733_cast_fp16 = einsum(equation = var_1733_equation_0, values = (var_1698_cast_fp16_2, var_1684_cast_fp16_2))[name = tensor<string, []>("op_1733_cast_fp16")];
            tensor<fp16, []> var_1734_to_fp16 = const()[name = tensor<string, []>("op_1734_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_173_cast_fp16 = mul(x = var_1733_cast_fp16, y = var_1734_to_fp16)[name = tensor<string, []>("aw_173_cast_fp16")];
            tensor<string, []> var_1737_equation_0 = const()[name = tensor<string, []>("op_1737_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1737_cast_fp16 = einsum(equation = var_1737_equation_0, values = (var_1698_cast_fp16_3, var_1684_cast_fp16_3))[name = tensor<string, []>("op_1737_cast_fp16")];
            tensor<fp16, []> var_1738_to_fp16 = const()[name = tensor<string, []>("op_1738_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_175_cast_fp16 = mul(x = var_1737_cast_fp16, y = var_1738_to_fp16)[name = tensor<string, []>("aw_175_cast_fp16")];
            tensor<string, []> var_1741_equation_0 = const()[name = tensor<string, []>("op_1741_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1741_cast_fp16 = einsum(equation = var_1741_equation_0, values = (var_1698_cast_fp16_4, var_1684_cast_fp16_4))[name = tensor<string, []>("op_1741_cast_fp16")];
            tensor<fp16, []> var_1742_to_fp16 = const()[name = tensor<string, []>("op_1742_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_177_cast_fp16 = mul(x = var_1741_cast_fp16, y = var_1742_to_fp16)[name = tensor<string, []>("aw_177_cast_fp16")];
            tensor<string, []> var_1745_equation_0 = const()[name = tensor<string, []>("op_1745_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1745_cast_fp16 = einsum(equation = var_1745_equation_0, values = (var_1698_cast_fp16_5, var_1684_cast_fp16_5))[name = tensor<string, []>("op_1745_cast_fp16")];
            tensor<fp16, []> var_1746_to_fp16 = const()[name = tensor<string, []>("op_1746_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_179_cast_fp16 = mul(x = var_1745_cast_fp16, y = var_1746_to_fp16)[name = tensor<string, []>("aw_179_cast_fp16")];
            tensor<string, []> var_1749_equation_0 = const()[name = tensor<string, []>("op_1749_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1749_cast_fp16 = einsum(equation = var_1749_equation_0, values = (var_1698_cast_fp16_6, var_1684_cast_fp16_6))[name = tensor<string, []>("op_1749_cast_fp16")];
            tensor<fp16, []> var_1750_to_fp16 = const()[name = tensor<string, []>("op_1750_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_181_cast_fp16 = mul(x = var_1749_cast_fp16, y = var_1750_to_fp16)[name = tensor<string, []>("aw_181_cast_fp16")];
            tensor<string, []> var_1753_equation_0 = const()[name = tensor<string, []>("op_1753_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1753_cast_fp16 = einsum(equation = var_1753_equation_0, values = (var_1698_cast_fp16_7, var_1684_cast_fp16_7))[name = tensor<string, []>("op_1753_cast_fp16")];
            tensor<fp16, []> var_1754_to_fp16 = const()[name = tensor<string, []>("op_1754_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_183_cast_fp16 = mul(x = var_1753_cast_fp16, y = var_1754_to_fp16)[name = tensor<string, []>("aw_183_cast_fp16")];
            tensor<string, []> var_1757_equation_0 = const()[name = tensor<string, []>("op_1757_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1757_cast_fp16 = einsum(equation = var_1757_equation_0, values = (var_1698_cast_fp16_8, var_1684_cast_fp16_8))[name = tensor<string, []>("op_1757_cast_fp16")];
            tensor<fp16, []> var_1758_to_fp16 = const()[name = tensor<string, []>("op_1758_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_185_cast_fp16 = mul(x = var_1757_cast_fp16, y = var_1758_to_fp16)[name = tensor<string, []>("aw_185_cast_fp16")];
            tensor<string, []> var_1761_equation_0 = const()[name = tensor<string, []>("op_1761_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1761_cast_fp16 = einsum(equation = var_1761_equation_0, values = (var_1698_cast_fp16_9, var_1684_cast_fp16_9))[name = tensor<string, []>("op_1761_cast_fp16")];
            tensor<fp16, []> var_1762_to_fp16 = const()[name = tensor<string, []>("op_1762_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_187_cast_fp16 = mul(x = var_1761_cast_fp16, y = var_1762_to_fp16)[name = tensor<string, []>("aw_187_cast_fp16")];
            tensor<string, []> var_1765_equation_0 = const()[name = tensor<string, []>("op_1765_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1765_cast_fp16 = einsum(equation = var_1765_equation_0, values = (var_1698_cast_fp16_10, var_1684_cast_fp16_10))[name = tensor<string, []>("op_1765_cast_fp16")];
            tensor<fp16, []> var_1766_to_fp16 = const()[name = tensor<string, []>("op_1766_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_189_cast_fp16 = mul(x = var_1765_cast_fp16, y = var_1766_to_fp16)[name = tensor<string, []>("aw_189_cast_fp16")];
            tensor<string, []> var_1769_equation_0 = const()[name = tensor<string, []>("op_1769_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [16, 122, 1, 122]> var_1769_cast_fp16 = einsum(equation = var_1769_equation_0, values = (var_1698_cast_fp16_11, var_1684_cast_fp16_11))[name = tensor<string, []>("op_1769_cast_fp16")];
            tensor<fp16, []> var_1770_to_fp16 = const()[name = tensor<string, []>("op_1770_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [16, 122, 1, 122]> aw_191_cast_fp16 = mul(x = var_1769_cast_fp16, y = var_1770_to_fp16)[name = tensor<string, []>("aw_191_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1772_cast_fp16 = softmax(axis = var_15, x = aw_169_cast_fp16)[name = tensor<string, []>("op_1772_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1773_cast_fp16 = softmax(axis = var_15, x = aw_171_cast_fp16)[name = tensor<string, []>("op_1773_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1774_cast_fp16 = softmax(axis = var_15, x = aw_173_cast_fp16)[name = tensor<string, []>("op_1774_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1775_cast_fp16 = softmax(axis = var_15, x = aw_175_cast_fp16)[name = tensor<string, []>("op_1775_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1776_cast_fp16 = softmax(axis = var_15, x = aw_177_cast_fp16)[name = tensor<string, []>("op_1776_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1777_cast_fp16 = softmax(axis = var_15, x = aw_179_cast_fp16)[name = tensor<string, []>("op_1777_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1778_cast_fp16 = softmax(axis = var_15, x = aw_181_cast_fp16)[name = tensor<string, []>("op_1778_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1779_cast_fp16 = softmax(axis = var_15, x = aw_183_cast_fp16)[name = tensor<string, []>("op_1779_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1780_cast_fp16 = softmax(axis = var_15, x = aw_185_cast_fp16)[name = tensor<string, []>("op_1780_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1781_cast_fp16 = softmax(axis = var_15, x = aw_187_cast_fp16)[name = tensor<string, []>("op_1781_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1782_cast_fp16 = softmax(axis = var_15, x = aw_189_cast_fp16)[name = tensor<string, []>("op_1782_cast_fp16")];
            tensor<fp16, [16, 122, 1, 122]> var_1783_cast_fp16 = softmax(axis = var_15, x = aw_191_cast_fp16)[name = tensor<string, []>("op_1783_cast_fp16")];
            tensor<string, []> var_1785_equation_0 = const()[name = tensor<string, []>("op_1785_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1785_cast_fp16 = einsum(equation = var_1785_equation_0, values = (var_1711_cast_fp16_0, var_1772_cast_fp16))[name = tensor<string, []>("op_1785_cast_fp16")];
            tensor<string, []> var_1787_equation_0 = const()[name = tensor<string, []>("op_1787_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1787_cast_fp16 = einsum(equation = var_1787_equation_0, values = (var_1711_cast_fp16_1, var_1773_cast_fp16))[name = tensor<string, []>("op_1787_cast_fp16")];
            tensor<string, []> var_1789_equation_0 = const()[name = tensor<string, []>("op_1789_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1789_cast_fp16 = einsum(equation = var_1789_equation_0, values = (var_1711_cast_fp16_2, var_1774_cast_fp16))[name = tensor<string, []>("op_1789_cast_fp16")];
            tensor<string, []> var_1791_equation_0 = const()[name = tensor<string, []>("op_1791_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1791_cast_fp16 = einsum(equation = var_1791_equation_0, values = (var_1711_cast_fp16_3, var_1775_cast_fp16))[name = tensor<string, []>("op_1791_cast_fp16")];
            tensor<string, []> var_1793_equation_0 = const()[name = tensor<string, []>("op_1793_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1793_cast_fp16 = einsum(equation = var_1793_equation_0, values = (var_1711_cast_fp16_4, var_1776_cast_fp16))[name = tensor<string, []>("op_1793_cast_fp16")];
            tensor<string, []> var_1795_equation_0 = const()[name = tensor<string, []>("op_1795_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1795_cast_fp16 = einsum(equation = var_1795_equation_0, values = (var_1711_cast_fp16_5, var_1777_cast_fp16))[name = tensor<string, []>("op_1795_cast_fp16")];
            tensor<string, []> var_1797_equation_0 = const()[name = tensor<string, []>("op_1797_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1797_cast_fp16 = einsum(equation = var_1797_equation_0, values = (var_1711_cast_fp16_6, var_1778_cast_fp16))[name = tensor<string, []>("op_1797_cast_fp16")];
            tensor<string, []> var_1799_equation_0 = const()[name = tensor<string, []>("op_1799_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1799_cast_fp16 = einsum(equation = var_1799_equation_0, values = (var_1711_cast_fp16_7, var_1779_cast_fp16))[name = tensor<string, []>("op_1799_cast_fp16")];
            tensor<string, []> var_1801_equation_0 = const()[name = tensor<string, []>("op_1801_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1801_cast_fp16 = einsum(equation = var_1801_equation_0, values = (var_1711_cast_fp16_8, var_1780_cast_fp16))[name = tensor<string, []>("op_1801_cast_fp16")];
            tensor<string, []> var_1803_equation_0 = const()[name = tensor<string, []>("op_1803_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1803_cast_fp16 = einsum(equation = var_1803_equation_0, values = (var_1711_cast_fp16_9, var_1781_cast_fp16))[name = tensor<string, []>("op_1803_cast_fp16")];
            tensor<string, []> var_1805_equation_0 = const()[name = tensor<string, []>("op_1805_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1805_cast_fp16 = einsum(equation = var_1805_equation_0, values = (var_1711_cast_fp16_10, var_1782_cast_fp16))[name = tensor<string, []>("op_1805_cast_fp16")];
            tensor<string, []> var_1807_equation_0 = const()[name = tensor<string, []>("op_1807_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [16, 64, 1, 122]> var_1807_cast_fp16 = einsum(equation = var_1807_equation_0, values = (var_1711_cast_fp16_11, var_1783_cast_fp16))[name = tensor<string, []>("op_1807_cast_fp16")];
            tensor<bool, []> input_43_interleave_0 = const()[name = tensor<string, []>("input_43_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [16, 768, 1, 122]> input_43_cast_fp16 = concat(axis = var_15, interleave = input_43_interleave_0, values = (var_1785_cast_fp16, var_1787_cast_fp16, var_1789_cast_fp16, var_1791_cast_fp16, var_1793_cast_fp16, var_1795_cast_fp16, var_1797_cast_fp16, var_1799_cast_fp16, var_1801_cast_fp16, var_1803_cast_fp16, var_1805_cast_fp16, var_1807_cast_fp16))[name = tensor<string, []>("input_43_cast_fp16")];
            tensor<int32, [2]> var_1812 = const()[name = tensor<string, []>("op_1812"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1814 = const()[name = tensor<string, []>("op_1814"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1816_pad_type_0 = const()[name = tensor<string, []>("op_1816_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1816_pad_0 = const()[name = tensor<string, []>("op_1816_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67493248)))];
            tensor<fp16, [16, 768, 1, 122]> var_1816_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_attn_out_proj_bias_to_fp16, dilations = var_1814, groups = var_15, pad = var_1816_pad_0, pad_type = var_1816_pad_type_0, strides = var_1812, weight = vision_model_transformer_resblocks_7_attn_out_proj_weight_cast_fp16, x = input_43_cast_fp16)[name = tensor<string, []>("op_1816_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> inputs_35_cast_fp16 = add(x = inputs_33_cast_fp16, y = var_1816_cast_fp16)[name = tensor<string, []>("inputs_35_cast_fp16")];
            tensor<int32, [1]> out_33_axes_0 = const()[name = tensor<string, []>("out_33_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1826_to_fp16 = const()[name = tensor<string, []>("op_1826_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> out_33_cast_fp16 = layer_norm(axes = out_33_axes_0, epsilon = var_1826_to_fp16, x = inputs_35_cast_fp16)[name = tensor<string, []>("out_33_cast_fp16")];
            tensor<fp16, [768]> input_45_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_45_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67494848)))];
            tensor<fp16, [768]> input_45_beta_0_to_fp16 = const()[name = tensor<string, []>("input_45_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67496448)))];
            tensor<fp16, []> input_45_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_45_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [16, 768, 1, 122]> input_45_cast_fp16 = batch_norm(beta = input_45_beta_0_to_fp16, epsilon = input_45_epsilon_0_to_fp16, gamma = input_45_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_33_cast_fp16)[name = tensor<string, []>("input_45_cast_fp16")];
            tensor<int32, [2]> var_1840 = const()[name = tensor<string, []>("op_1840"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1842 = const()[name = tensor<string, []>("op_1842"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_25_pad_type_0 = const()[name = tensor<string, []>("x_25_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_25_pad_0 = const()[name = tensor<string, []>("x_25_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_7_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67498048)))];
            tensor<fp16, [16, 3072, 1, 122]> x_25_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_mlp_c_fc_bias_to_fp16, dilations = var_1842, groups = var_15, pad = x_25_pad_0, pad_type = x_25_pad_type_0, strides = var_1840, weight = vision_model_transformer_resblocks_7_mlp_c_fc_weight_cast_fp16, x = input_45_cast_fp16)[name = tensor<string, []>("x_25_cast_fp16")];
            tensor<fp16, []> var_1845_to_fp16 = const()[name = tensor<string, []>("op_1845_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [16, 3072, 1, 122]> var_1846_cast_fp16 = mul(x = x_25_cast_fp16, y = var_1845_to_fp16)[name = tensor<string, []>("op_1846_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> var_1847_cast_fp16 = sigmoid(x = var_1846_cast_fp16)[name = tensor<string, []>("op_1847_cast_fp16")];
            tensor<fp16, [16, 3072, 1, 122]> input_47_cast_fp16 = mul(x = x_25_cast_fp16, y = var_1847_cast_fp16)[name = tensor<string, []>("input_47_cast_fp16")];
            tensor<int32, [2]> var_1851 = const()[name = tensor<string, []>("op_1851"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1853 = const()[name = tensor<string, []>("op_1853"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1855_pad_type_0 = const()[name = tensor<string, []>("op_1855_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1855_pad_0 = const()[name = tensor<string, []>("op_1855_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_7_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_7_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67504256)))];
            tensor<fp16, [16, 768, 1, 122]> var_1855_cast_fp16 = conv(bias = vision_model_transformer_resblocks_7_mlp_c_proj_bias_to_fp16, dilations = var_1853, groups = var_15, pad = var_1855_pad_0, pad_type = var_1855_pad_type_0, strides = var_1851, weight = vision_model_transformer_resblocks_7_mlp_c_proj_weight_cast_fp16, x = input_47_cast_fp16)[name = tensor<string, []>("op_1855_cast_fp16")];
            tensor<fp16, [16, 768, 1, 122]> x_27_cast_fp16 = add(x = inputs_35_cast_fp16, y = var_1855_cast_fp16)[name = tensor<string, []>("x_27_cast_fp16")];
            tensor<fp16, [16, 768, 1, 1]> tpe_to_fp16 = const()[name = tensor<string, []>("tpe_to_fp16"), val = tensor<fp16, [16, 768, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67505856)))];
            tensor<fp16, [16, 768, 1, 122]> x_29_cast_fp16 = add(x = x_27_cast_fp16, y = tpe_to_fp16)[name = tensor<string, []>("x_29_cast_fp16")];
            tensor<int32, [4]> var_1863_perm_0 = const()[name = tensor<string, []>("op_1863_perm_0"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [4]> var_1865 = const()[name = tensor<string, []>("op_1865"), val = tensor<int32, [4]>([1, 768, 1, -1])];
            tensor<fp16, [1, 768, 16, 122]> transpose_5 = transpose(perm = var_1863_perm_0, x = x_29_cast_fp16)[name = tensor<string, []>("transpose_5")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_37_cast_fp16 = reshape(shape = var_1865, x = transpose_5)[name = tensor<string, []>("inputs_37_cast_fp16")];
            tensor<int32, [1]> out_35_axes_0 = const()[name = tensor<string, []>("out_35_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_1879_to_fp16 = const()[name = tensor<string, []>("op_1879_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_35_cast_fp16 = layer_norm(axes = out_35_axes_0, epsilon = var_1879_to_fp16, x = inputs_37_cast_fp16)[name = tensor<string, []>("out_35_cast_fp16")];
            tensor<fp16, [768]> query_17_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_17_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67530496)))];
            tensor<fp16, [768]> query_17_beta_0_to_fp16 = const()[name = tensor<string, []>("query_17_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67532096)))];
            tensor<fp16, []> query_17_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_17_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> query_17_cast_fp16 = batch_norm(beta = query_17_beta_0_to_fp16, epsilon = query_17_epsilon_0_to_fp16, gamma = query_17_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_35_cast_fp16)[name = tensor<string, []>("query_17_cast_fp16")];
            tensor<int32, [2]> var_1895 = const()[name = tensor<string, []>("op_1895"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1897 = const()[name = tensor<string, []>("op_1897"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1899_pad_type_0 = const()[name = tensor<string, []>("op_1899_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1899_pad_0 = const()[name = tensor<string, []>("op_1899_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67533696)))];
            tensor<fp16, [1, 768, 1, 1952]> var_1899_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_query_bias_to_fp16, dilations = var_1897, groups = var_15, pad = var_1899_pad_0, pad_type = var_1899_pad_type_0, strides = var_1895, weight = vision_model_transformer_resblocks_8_attn_query_weight_cast_fp16, x = query_17_cast_fp16)[name = tensor<string, []>("op_1899_cast_fp16")];
            tensor<int32, [2]> var_1902 = const()[name = tensor<string, []>("op_1902"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1904 = const()[name = tensor<string, []>("op_1904"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_17_pad_type_0 = const()[name = tensor<string, []>("k_17_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_17_pad_0 = const()[name = tensor<string, []>("k_17_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67535296)))];
            tensor<fp16, [1, 768, 1, 1952]> k_17_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_key_bias_to_fp16, dilations = var_1904, groups = var_15, pad = k_17_pad_0, pad_type = k_17_pad_type_0, strides = var_1902, weight = vision_model_transformer_resblocks_8_attn_key_weight_cast_fp16, x = query_17_cast_fp16)[name = tensor<string, []>("k_17_cast_fp16")];
            tensor<int32, [2]> var_1909 = const()[name = tensor<string, []>("op_1909"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_1911 = const()[name = tensor<string, []>("op_1911"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_1913_pad_type_0 = const()[name = tensor<string, []>("op_1913_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_1913_pad_0 = const()[name = tensor<string, []>("op_1913_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67536896)))];
            tensor<fp16, [1, 768, 1, 1952]> var_1913_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_value_bias_to_fp16, dilations = var_1911, groups = var_15, pad = var_1913_pad_0, pad_type = var_1913_pad_type_0, strides = var_1909, weight = vision_model_transformer_resblocks_8_attn_value_weight_cast_fp16, x = query_17_cast_fp16)[name = tensor<string, []>("op_1913_cast_fp16")];
            tensor<int32, [12]> tile_24 = const()[name = tensor<string, []>("tile_24"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1914_axis_0 = const()[name = tensor<string, []>("op_1914_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_1914_cast_fp16_11 = split(axis = var_1914_axis_0, split_sizes = tile_24, x = var_1899_cast_fp16)[name = tensor<string, []>("op_1914_cast_fp16")];
            tensor<int32, [4]> var_1927_perm_0 = const()[name = tensor<string, []>("op_1927_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_25 = const()[name = tensor<string, []>("tile_25"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1928_axis_0 = const()[name = tensor<string, []>("op_1928_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 1952, 1, 768]> transpose_4 = transpose(perm = var_1927_perm_0, x = k_17_cast_fp16)[name = tensor<string, []>("transpose_4")];
            tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_0, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_1, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_2, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_3, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_4, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_5, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_6, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_7, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_8, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_9, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_10, tensor<fp16, [1, 1952, 1, 64]> var_1928_cast_fp16_11 = split(axis = var_1928_axis_0, split_sizes = tile_25, x = transpose_4)[name = tensor<string, []>("op_1928_cast_fp16")];
            tensor<int32, [12]> tile_26 = const()[name = tensor<string, []>("tile_26"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_1941_axis_0 = const()[name = tensor<string, []>("op_1941_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_1941_cast_fp16_11 = split(axis = var_1941_axis_0, split_sizes = tile_26, x = var_1913_cast_fp16)[name = tensor<string, []>("op_1941_cast_fp16")];
            tensor<string, []> var_1955_equation_0 = const()[name = tensor<string, []>("op_1955_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1955_cast_fp16 = einsum(equation = var_1955_equation_0, values = (var_1928_cast_fp16_0, var_1914_cast_fp16_0))[name = tensor<string, []>("op_1955_cast_fp16")];
            tensor<fp16, []> var_1956_to_fp16 = const()[name = tensor<string, []>("op_1956_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_193_cast_fp16 = mul(x = var_1955_cast_fp16, y = var_1956_to_fp16)[name = tensor<string, []>("aw_193_cast_fp16")];
            tensor<string, []> var_1959_equation_0 = const()[name = tensor<string, []>("op_1959_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1959_cast_fp16 = einsum(equation = var_1959_equation_0, values = (var_1928_cast_fp16_1, var_1914_cast_fp16_1))[name = tensor<string, []>("op_1959_cast_fp16")];
            tensor<fp16, []> var_1960_to_fp16 = const()[name = tensor<string, []>("op_1960_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_195_cast_fp16 = mul(x = var_1959_cast_fp16, y = var_1960_to_fp16)[name = tensor<string, []>("aw_195_cast_fp16")];
            tensor<string, []> var_1963_equation_0 = const()[name = tensor<string, []>("op_1963_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1963_cast_fp16 = einsum(equation = var_1963_equation_0, values = (var_1928_cast_fp16_2, var_1914_cast_fp16_2))[name = tensor<string, []>("op_1963_cast_fp16")];
            tensor<fp16, []> var_1964_to_fp16 = const()[name = tensor<string, []>("op_1964_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_197_cast_fp16 = mul(x = var_1963_cast_fp16, y = var_1964_to_fp16)[name = tensor<string, []>("aw_197_cast_fp16")];
            tensor<string, []> var_1967_equation_0 = const()[name = tensor<string, []>("op_1967_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1967_cast_fp16 = einsum(equation = var_1967_equation_0, values = (var_1928_cast_fp16_3, var_1914_cast_fp16_3))[name = tensor<string, []>("op_1967_cast_fp16")];
            tensor<fp16, []> var_1968_to_fp16 = const()[name = tensor<string, []>("op_1968_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_199_cast_fp16 = mul(x = var_1967_cast_fp16, y = var_1968_to_fp16)[name = tensor<string, []>("aw_199_cast_fp16")];
            tensor<string, []> var_1971_equation_0 = const()[name = tensor<string, []>("op_1971_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1971_cast_fp16 = einsum(equation = var_1971_equation_0, values = (var_1928_cast_fp16_4, var_1914_cast_fp16_4))[name = tensor<string, []>("op_1971_cast_fp16")];
            tensor<fp16, []> var_1972_to_fp16 = const()[name = tensor<string, []>("op_1972_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_201_cast_fp16 = mul(x = var_1971_cast_fp16, y = var_1972_to_fp16)[name = tensor<string, []>("aw_201_cast_fp16")];
            tensor<string, []> var_1975_equation_0 = const()[name = tensor<string, []>("op_1975_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1975_cast_fp16 = einsum(equation = var_1975_equation_0, values = (var_1928_cast_fp16_5, var_1914_cast_fp16_5))[name = tensor<string, []>("op_1975_cast_fp16")];
            tensor<fp16, []> var_1976_to_fp16 = const()[name = tensor<string, []>("op_1976_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_203_cast_fp16 = mul(x = var_1975_cast_fp16, y = var_1976_to_fp16)[name = tensor<string, []>("aw_203_cast_fp16")];
            tensor<string, []> var_1979_equation_0 = const()[name = tensor<string, []>("op_1979_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1979_cast_fp16 = einsum(equation = var_1979_equation_0, values = (var_1928_cast_fp16_6, var_1914_cast_fp16_6))[name = tensor<string, []>("op_1979_cast_fp16")];
            tensor<fp16, []> var_1980_to_fp16 = const()[name = tensor<string, []>("op_1980_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_205_cast_fp16 = mul(x = var_1979_cast_fp16, y = var_1980_to_fp16)[name = tensor<string, []>("aw_205_cast_fp16")];
            tensor<string, []> var_1983_equation_0 = const()[name = tensor<string, []>("op_1983_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1983_cast_fp16 = einsum(equation = var_1983_equation_0, values = (var_1928_cast_fp16_7, var_1914_cast_fp16_7))[name = tensor<string, []>("op_1983_cast_fp16")];
            tensor<fp16, []> var_1984_to_fp16 = const()[name = tensor<string, []>("op_1984_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_207_cast_fp16 = mul(x = var_1983_cast_fp16, y = var_1984_to_fp16)[name = tensor<string, []>("aw_207_cast_fp16")];
            tensor<string, []> var_1987_equation_0 = const()[name = tensor<string, []>("op_1987_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1987_cast_fp16 = einsum(equation = var_1987_equation_0, values = (var_1928_cast_fp16_8, var_1914_cast_fp16_8))[name = tensor<string, []>("op_1987_cast_fp16")];
            tensor<fp16, []> var_1988_to_fp16 = const()[name = tensor<string, []>("op_1988_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_209_cast_fp16 = mul(x = var_1987_cast_fp16, y = var_1988_to_fp16)[name = tensor<string, []>("aw_209_cast_fp16")];
            tensor<string, []> var_1991_equation_0 = const()[name = tensor<string, []>("op_1991_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1991_cast_fp16 = einsum(equation = var_1991_equation_0, values = (var_1928_cast_fp16_9, var_1914_cast_fp16_9))[name = tensor<string, []>("op_1991_cast_fp16")];
            tensor<fp16, []> var_1992_to_fp16 = const()[name = tensor<string, []>("op_1992_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_211_cast_fp16 = mul(x = var_1991_cast_fp16, y = var_1992_to_fp16)[name = tensor<string, []>("aw_211_cast_fp16")];
            tensor<string, []> var_1995_equation_0 = const()[name = tensor<string, []>("op_1995_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1995_cast_fp16 = einsum(equation = var_1995_equation_0, values = (var_1928_cast_fp16_10, var_1914_cast_fp16_10))[name = tensor<string, []>("op_1995_cast_fp16")];
            tensor<fp16, []> var_1996_to_fp16 = const()[name = tensor<string, []>("op_1996_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_213_cast_fp16 = mul(x = var_1995_cast_fp16, y = var_1996_to_fp16)[name = tensor<string, []>("aw_213_cast_fp16")];
            tensor<string, []> var_1999_equation_0 = const()[name = tensor<string, []>("op_1999_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_1999_cast_fp16 = einsum(equation = var_1999_equation_0, values = (var_1928_cast_fp16_11, var_1914_cast_fp16_11))[name = tensor<string, []>("op_1999_cast_fp16")];
            tensor<fp16, []> var_2000_to_fp16 = const()[name = tensor<string, []>("op_2000_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_215_cast_fp16 = mul(x = var_1999_cast_fp16, y = var_2000_to_fp16)[name = tensor<string, []>("aw_215_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2002_cast_fp16 = softmax(axis = var_15, x = aw_193_cast_fp16)[name = tensor<string, []>("op_2002_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2003_cast_fp16 = softmax(axis = var_15, x = aw_195_cast_fp16)[name = tensor<string, []>("op_2003_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2004_cast_fp16 = softmax(axis = var_15, x = aw_197_cast_fp16)[name = tensor<string, []>("op_2004_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2005_cast_fp16 = softmax(axis = var_15, x = aw_199_cast_fp16)[name = tensor<string, []>("op_2005_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2006_cast_fp16 = softmax(axis = var_15, x = aw_201_cast_fp16)[name = tensor<string, []>("op_2006_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2007_cast_fp16 = softmax(axis = var_15, x = aw_203_cast_fp16)[name = tensor<string, []>("op_2007_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2008_cast_fp16 = softmax(axis = var_15, x = aw_205_cast_fp16)[name = tensor<string, []>("op_2008_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2009_cast_fp16 = softmax(axis = var_15, x = aw_207_cast_fp16)[name = tensor<string, []>("op_2009_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2010_cast_fp16 = softmax(axis = var_15, x = aw_209_cast_fp16)[name = tensor<string, []>("op_2010_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2011_cast_fp16 = softmax(axis = var_15, x = aw_211_cast_fp16)[name = tensor<string, []>("op_2011_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2012_cast_fp16 = softmax(axis = var_15, x = aw_213_cast_fp16)[name = tensor<string, []>("op_2012_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2013_cast_fp16 = softmax(axis = var_15, x = aw_215_cast_fp16)[name = tensor<string, []>("op_2013_cast_fp16")];
            tensor<string, []> var_2015_equation_0 = const()[name = tensor<string, []>("op_2015_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2015_cast_fp16 = einsum(equation = var_2015_equation_0, values = (var_1941_cast_fp16_0, var_2002_cast_fp16))[name = tensor<string, []>("op_2015_cast_fp16")];
            tensor<string, []> var_2017_equation_0 = const()[name = tensor<string, []>("op_2017_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2017_cast_fp16 = einsum(equation = var_2017_equation_0, values = (var_1941_cast_fp16_1, var_2003_cast_fp16))[name = tensor<string, []>("op_2017_cast_fp16")];
            tensor<string, []> var_2019_equation_0 = const()[name = tensor<string, []>("op_2019_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2019_cast_fp16 = einsum(equation = var_2019_equation_0, values = (var_1941_cast_fp16_2, var_2004_cast_fp16))[name = tensor<string, []>("op_2019_cast_fp16")];
            tensor<string, []> var_2021_equation_0 = const()[name = tensor<string, []>("op_2021_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2021_cast_fp16 = einsum(equation = var_2021_equation_0, values = (var_1941_cast_fp16_3, var_2005_cast_fp16))[name = tensor<string, []>("op_2021_cast_fp16")];
            tensor<string, []> var_2023_equation_0 = const()[name = tensor<string, []>("op_2023_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2023_cast_fp16 = einsum(equation = var_2023_equation_0, values = (var_1941_cast_fp16_4, var_2006_cast_fp16))[name = tensor<string, []>("op_2023_cast_fp16")];
            tensor<string, []> var_2025_equation_0 = const()[name = tensor<string, []>("op_2025_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2025_cast_fp16 = einsum(equation = var_2025_equation_0, values = (var_1941_cast_fp16_5, var_2007_cast_fp16))[name = tensor<string, []>("op_2025_cast_fp16")];
            tensor<string, []> var_2027_equation_0 = const()[name = tensor<string, []>("op_2027_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2027_cast_fp16 = einsum(equation = var_2027_equation_0, values = (var_1941_cast_fp16_6, var_2008_cast_fp16))[name = tensor<string, []>("op_2027_cast_fp16")];
            tensor<string, []> var_2029_equation_0 = const()[name = tensor<string, []>("op_2029_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2029_cast_fp16 = einsum(equation = var_2029_equation_0, values = (var_1941_cast_fp16_7, var_2009_cast_fp16))[name = tensor<string, []>("op_2029_cast_fp16")];
            tensor<string, []> var_2031_equation_0 = const()[name = tensor<string, []>("op_2031_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2031_cast_fp16 = einsum(equation = var_2031_equation_0, values = (var_1941_cast_fp16_8, var_2010_cast_fp16))[name = tensor<string, []>("op_2031_cast_fp16")];
            tensor<string, []> var_2033_equation_0 = const()[name = tensor<string, []>("op_2033_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2033_cast_fp16 = einsum(equation = var_2033_equation_0, values = (var_1941_cast_fp16_9, var_2011_cast_fp16))[name = tensor<string, []>("op_2033_cast_fp16")];
            tensor<string, []> var_2035_equation_0 = const()[name = tensor<string, []>("op_2035_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2035_cast_fp16 = einsum(equation = var_2035_equation_0, values = (var_1941_cast_fp16_10, var_2012_cast_fp16))[name = tensor<string, []>("op_2035_cast_fp16")];
            tensor<string, []> var_2037_equation_0 = const()[name = tensor<string, []>("op_2037_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2037_cast_fp16 = einsum(equation = var_2037_equation_0, values = (var_1941_cast_fp16_11, var_2013_cast_fp16))[name = tensor<string, []>("op_2037_cast_fp16")];
            tensor<bool, []> input_49_interleave_0 = const()[name = tensor<string, []>("input_49_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 1952]> input_49_cast_fp16 = concat(axis = var_15, interleave = input_49_interleave_0, values = (var_2015_cast_fp16, var_2017_cast_fp16, var_2019_cast_fp16, var_2021_cast_fp16, var_2023_cast_fp16, var_2025_cast_fp16, var_2027_cast_fp16, var_2029_cast_fp16, var_2031_cast_fp16, var_2033_cast_fp16, var_2035_cast_fp16, var_2037_cast_fp16))[name = tensor<string, []>("input_49_cast_fp16")];
            tensor<int32, [2]> var_2042 = const()[name = tensor<string, []>("op_2042"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2044 = const()[name = tensor<string, []>("op_2044"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2046_pad_type_0 = const()[name = tensor<string, []>("op_2046_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2046_pad_0 = const()[name = tensor<string, []>("op_2046_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67538496)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2046_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_attn_out_proj_bias_to_fp16, dilations = var_2044, groups = var_15, pad = var_2046_pad_0, pad_type = var_2046_pad_type_0, strides = var_2042, weight = vision_model_transformer_resblocks_8_attn_out_proj_weight_cast_fp16, x = input_49_cast_fp16)[name = tensor<string, []>("op_2046_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_39_cast_fp16 = add(x = inputs_37_cast_fp16, y = var_2046_cast_fp16)[name = tensor<string, []>("inputs_39_cast_fp16")];
            tensor<int32, [1]> out_37_axes_0 = const()[name = tensor<string, []>("out_37_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2056_to_fp16 = const()[name = tensor<string, []>("op_2056_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_37_cast_fp16 = layer_norm(axes = out_37_axes_0, epsilon = var_2056_to_fp16, x = inputs_39_cast_fp16)[name = tensor<string, []>("out_37_cast_fp16")];
            tensor<fp16, [768]> input_51_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_51_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67540096)))];
            tensor<fp16, [768]> input_51_beta_0_to_fp16 = const()[name = tensor<string, []>("input_51_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67541696)))];
            tensor<fp16, []> input_51_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_51_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> input_51_cast_fp16 = batch_norm(beta = input_51_beta_0_to_fp16, epsilon = input_51_epsilon_0_to_fp16, gamma = input_51_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_37_cast_fp16)[name = tensor<string, []>("input_51_cast_fp16")];
            tensor<int32, [2]> var_2070 = const()[name = tensor<string, []>("op_2070"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2072 = const()[name = tensor<string, []>("op_2072"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_31_pad_type_0 = const()[name = tensor<string, []>("x_31_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_31_pad_0 = const()[name = tensor<string, []>("x_31_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_8_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67543296)))];
            tensor<fp16, [1, 3072, 1, 1952]> x_31_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_mlp_c_fc_bias_to_fp16, dilations = var_2072, groups = var_15, pad = x_31_pad_0, pad_type = x_31_pad_type_0, strides = var_2070, weight = vision_model_transformer_resblocks_8_mlp_c_fc_weight_cast_fp16, x = input_51_cast_fp16)[name = tensor<string, []>("x_31_cast_fp16")];
            tensor<fp16, []> var_2075_to_fp16 = const()[name = tensor<string, []>("op_2075_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 1952]> var_2076_cast_fp16 = mul(x = x_31_cast_fp16, y = var_2075_to_fp16)[name = tensor<string, []>("op_2076_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> var_2077_cast_fp16 = sigmoid(x = var_2076_cast_fp16)[name = tensor<string, []>("op_2077_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> input_53_cast_fp16 = mul(x = x_31_cast_fp16, y = var_2077_cast_fp16)[name = tensor<string, []>("input_53_cast_fp16")];
            tensor<int32, [2]> var_2081 = const()[name = tensor<string, []>("op_2081"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2083 = const()[name = tensor<string, []>("op_2083"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2085_pad_type_0 = const()[name = tensor<string, []>("op_2085_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2085_pad_0 = const()[name = tensor<string, []>("op_2085_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_8_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_8_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67549504)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2085_cast_fp16 = conv(bias = vision_model_transformer_resblocks_8_mlp_c_proj_bias_to_fp16, dilations = var_2083, groups = var_15, pad = var_2085_pad_0, pad_type = var_2085_pad_type_0, strides = var_2081, weight = vision_model_transformer_resblocks_8_mlp_c_proj_weight_cast_fp16, x = input_53_cast_fp16)[name = tensor<string, []>("op_2085_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_41_cast_fp16 = add(x = inputs_39_cast_fp16, y = var_2085_cast_fp16)[name = tensor<string, []>("inputs_41_cast_fp16")];
            tensor<int32, [1]> out_39_axes_0 = const()[name = tensor<string, []>("out_39_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2099_to_fp16 = const()[name = tensor<string, []>("op_2099_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_39_cast_fp16 = layer_norm(axes = out_39_axes_0, epsilon = var_2099_to_fp16, x = inputs_41_cast_fp16)[name = tensor<string, []>("out_39_cast_fp16")];
            tensor<fp16, [768]> query_19_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_19_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67551104)))];
            tensor<fp16, [768]> query_19_beta_0_to_fp16 = const()[name = tensor<string, []>("query_19_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67552704)))];
            tensor<fp16, []> query_19_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_19_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> query_19_cast_fp16 = batch_norm(beta = query_19_beta_0_to_fp16, epsilon = query_19_epsilon_0_to_fp16, gamma = query_19_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_39_cast_fp16)[name = tensor<string, []>("query_19_cast_fp16")];
            tensor<int32, [2]> var_2115 = const()[name = tensor<string, []>("op_2115"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2117 = const()[name = tensor<string, []>("op_2117"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2119_pad_type_0 = const()[name = tensor<string, []>("op_2119_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2119_pad_0 = const()[name = tensor<string, []>("op_2119_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67554304)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2119_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_query_bias_to_fp16, dilations = var_2117, groups = var_15, pad = var_2119_pad_0, pad_type = var_2119_pad_type_0, strides = var_2115, weight = vision_model_transformer_resblocks_9_attn_query_weight_cast_fp16, x = query_19_cast_fp16)[name = tensor<string, []>("op_2119_cast_fp16")];
            tensor<int32, [2]> var_2122 = const()[name = tensor<string, []>("op_2122"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2124 = const()[name = tensor<string, []>("op_2124"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_19_pad_type_0 = const()[name = tensor<string, []>("k_19_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_19_pad_0 = const()[name = tensor<string, []>("k_19_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67555904)))];
            tensor<fp16, [1, 768, 1, 1952]> k_19_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_key_bias_to_fp16, dilations = var_2124, groups = var_15, pad = k_19_pad_0, pad_type = k_19_pad_type_0, strides = var_2122, weight = vision_model_transformer_resblocks_9_attn_key_weight_cast_fp16, x = query_19_cast_fp16)[name = tensor<string, []>("k_19_cast_fp16")];
            tensor<int32, [2]> var_2129 = const()[name = tensor<string, []>("op_2129"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2131 = const()[name = tensor<string, []>("op_2131"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2133_pad_type_0 = const()[name = tensor<string, []>("op_2133_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2133_pad_0 = const()[name = tensor<string, []>("op_2133_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67557504)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2133_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_value_bias_to_fp16, dilations = var_2131, groups = var_15, pad = var_2133_pad_0, pad_type = var_2133_pad_type_0, strides = var_2129, weight = vision_model_transformer_resblocks_9_attn_value_weight_cast_fp16, x = query_19_cast_fp16)[name = tensor<string, []>("op_2133_cast_fp16")];
            tensor<int32, [12]> tile_27 = const()[name = tensor<string, []>("tile_27"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2134_axis_0 = const()[name = tensor<string, []>("op_2134_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_2134_cast_fp16_11 = split(axis = var_2134_axis_0, split_sizes = tile_27, x = var_2119_cast_fp16)[name = tensor<string, []>("op_2134_cast_fp16")];
            tensor<int32, [4]> var_2147_perm_0 = const()[name = tensor<string, []>("op_2147_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_28 = const()[name = tensor<string, []>("tile_28"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2148_axis_0 = const()[name = tensor<string, []>("op_2148_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 1952, 1, 768]> transpose_3 = transpose(perm = var_2147_perm_0, x = k_19_cast_fp16)[name = tensor<string, []>("transpose_3")];
            tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_0, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_1, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_2, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_3, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_4, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_5, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_6, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_7, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_8, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_9, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_10, tensor<fp16, [1, 1952, 1, 64]> var_2148_cast_fp16_11 = split(axis = var_2148_axis_0, split_sizes = tile_28, x = transpose_3)[name = tensor<string, []>("op_2148_cast_fp16")];
            tensor<int32, [12]> tile_29 = const()[name = tensor<string, []>("tile_29"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2161_axis_0 = const()[name = tensor<string, []>("op_2161_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_2161_cast_fp16_11 = split(axis = var_2161_axis_0, split_sizes = tile_29, x = var_2133_cast_fp16)[name = tensor<string, []>("op_2161_cast_fp16")];
            tensor<string, []> var_2175_equation_0 = const()[name = tensor<string, []>("op_2175_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2175_cast_fp16 = einsum(equation = var_2175_equation_0, values = (var_2148_cast_fp16_0, var_2134_cast_fp16_0))[name = tensor<string, []>("op_2175_cast_fp16")];
            tensor<fp16, []> var_2176_to_fp16 = const()[name = tensor<string, []>("op_2176_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_217_cast_fp16 = mul(x = var_2175_cast_fp16, y = var_2176_to_fp16)[name = tensor<string, []>("aw_217_cast_fp16")];
            tensor<string, []> var_2179_equation_0 = const()[name = tensor<string, []>("op_2179_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2179_cast_fp16 = einsum(equation = var_2179_equation_0, values = (var_2148_cast_fp16_1, var_2134_cast_fp16_1))[name = tensor<string, []>("op_2179_cast_fp16")];
            tensor<fp16, []> var_2180_to_fp16 = const()[name = tensor<string, []>("op_2180_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_219_cast_fp16 = mul(x = var_2179_cast_fp16, y = var_2180_to_fp16)[name = tensor<string, []>("aw_219_cast_fp16")];
            tensor<string, []> var_2183_equation_0 = const()[name = tensor<string, []>("op_2183_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2183_cast_fp16 = einsum(equation = var_2183_equation_0, values = (var_2148_cast_fp16_2, var_2134_cast_fp16_2))[name = tensor<string, []>("op_2183_cast_fp16")];
            tensor<fp16, []> var_2184_to_fp16 = const()[name = tensor<string, []>("op_2184_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_221_cast_fp16 = mul(x = var_2183_cast_fp16, y = var_2184_to_fp16)[name = tensor<string, []>("aw_221_cast_fp16")];
            tensor<string, []> var_2187_equation_0 = const()[name = tensor<string, []>("op_2187_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2187_cast_fp16 = einsum(equation = var_2187_equation_0, values = (var_2148_cast_fp16_3, var_2134_cast_fp16_3))[name = tensor<string, []>("op_2187_cast_fp16")];
            tensor<fp16, []> var_2188_to_fp16 = const()[name = tensor<string, []>("op_2188_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_223_cast_fp16 = mul(x = var_2187_cast_fp16, y = var_2188_to_fp16)[name = tensor<string, []>("aw_223_cast_fp16")];
            tensor<string, []> var_2191_equation_0 = const()[name = tensor<string, []>("op_2191_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2191_cast_fp16 = einsum(equation = var_2191_equation_0, values = (var_2148_cast_fp16_4, var_2134_cast_fp16_4))[name = tensor<string, []>("op_2191_cast_fp16")];
            tensor<fp16, []> var_2192_to_fp16 = const()[name = tensor<string, []>("op_2192_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_225_cast_fp16 = mul(x = var_2191_cast_fp16, y = var_2192_to_fp16)[name = tensor<string, []>("aw_225_cast_fp16")];
            tensor<string, []> var_2195_equation_0 = const()[name = tensor<string, []>("op_2195_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2195_cast_fp16 = einsum(equation = var_2195_equation_0, values = (var_2148_cast_fp16_5, var_2134_cast_fp16_5))[name = tensor<string, []>("op_2195_cast_fp16")];
            tensor<fp16, []> var_2196_to_fp16 = const()[name = tensor<string, []>("op_2196_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_227_cast_fp16 = mul(x = var_2195_cast_fp16, y = var_2196_to_fp16)[name = tensor<string, []>("aw_227_cast_fp16")];
            tensor<string, []> var_2199_equation_0 = const()[name = tensor<string, []>("op_2199_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2199_cast_fp16 = einsum(equation = var_2199_equation_0, values = (var_2148_cast_fp16_6, var_2134_cast_fp16_6))[name = tensor<string, []>("op_2199_cast_fp16")];
            tensor<fp16, []> var_2200_to_fp16 = const()[name = tensor<string, []>("op_2200_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_229_cast_fp16 = mul(x = var_2199_cast_fp16, y = var_2200_to_fp16)[name = tensor<string, []>("aw_229_cast_fp16")];
            tensor<string, []> var_2203_equation_0 = const()[name = tensor<string, []>("op_2203_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2203_cast_fp16 = einsum(equation = var_2203_equation_0, values = (var_2148_cast_fp16_7, var_2134_cast_fp16_7))[name = tensor<string, []>("op_2203_cast_fp16")];
            tensor<fp16, []> var_2204_to_fp16 = const()[name = tensor<string, []>("op_2204_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_231_cast_fp16 = mul(x = var_2203_cast_fp16, y = var_2204_to_fp16)[name = tensor<string, []>("aw_231_cast_fp16")];
            tensor<string, []> var_2207_equation_0 = const()[name = tensor<string, []>("op_2207_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2207_cast_fp16 = einsum(equation = var_2207_equation_0, values = (var_2148_cast_fp16_8, var_2134_cast_fp16_8))[name = tensor<string, []>("op_2207_cast_fp16")];
            tensor<fp16, []> var_2208_to_fp16 = const()[name = tensor<string, []>("op_2208_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_233_cast_fp16 = mul(x = var_2207_cast_fp16, y = var_2208_to_fp16)[name = tensor<string, []>("aw_233_cast_fp16")];
            tensor<string, []> var_2211_equation_0 = const()[name = tensor<string, []>("op_2211_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2211_cast_fp16 = einsum(equation = var_2211_equation_0, values = (var_2148_cast_fp16_9, var_2134_cast_fp16_9))[name = tensor<string, []>("op_2211_cast_fp16")];
            tensor<fp16, []> var_2212_to_fp16 = const()[name = tensor<string, []>("op_2212_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_235_cast_fp16 = mul(x = var_2211_cast_fp16, y = var_2212_to_fp16)[name = tensor<string, []>("aw_235_cast_fp16")];
            tensor<string, []> var_2215_equation_0 = const()[name = tensor<string, []>("op_2215_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2215_cast_fp16 = einsum(equation = var_2215_equation_0, values = (var_2148_cast_fp16_10, var_2134_cast_fp16_10))[name = tensor<string, []>("op_2215_cast_fp16")];
            tensor<fp16, []> var_2216_to_fp16 = const()[name = tensor<string, []>("op_2216_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_237_cast_fp16 = mul(x = var_2215_cast_fp16, y = var_2216_to_fp16)[name = tensor<string, []>("aw_237_cast_fp16")];
            tensor<string, []> var_2219_equation_0 = const()[name = tensor<string, []>("op_2219_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2219_cast_fp16 = einsum(equation = var_2219_equation_0, values = (var_2148_cast_fp16_11, var_2134_cast_fp16_11))[name = tensor<string, []>("op_2219_cast_fp16")];
            tensor<fp16, []> var_2220_to_fp16 = const()[name = tensor<string, []>("op_2220_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_239_cast_fp16 = mul(x = var_2219_cast_fp16, y = var_2220_to_fp16)[name = tensor<string, []>("aw_239_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2222_cast_fp16 = softmax(axis = var_15, x = aw_217_cast_fp16)[name = tensor<string, []>("op_2222_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2223_cast_fp16 = softmax(axis = var_15, x = aw_219_cast_fp16)[name = tensor<string, []>("op_2223_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2224_cast_fp16 = softmax(axis = var_15, x = aw_221_cast_fp16)[name = tensor<string, []>("op_2224_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2225_cast_fp16 = softmax(axis = var_15, x = aw_223_cast_fp16)[name = tensor<string, []>("op_2225_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2226_cast_fp16 = softmax(axis = var_15, x = aw_225_cast_fp16)[name = tensor<string, []>("op_2226_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2227_cast_fp16 = softmax(axis = var_15, x = aw_227_cast_fp16)[name = tensor<string, []>("op_2227_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2228_cast_fp16 = softmax(axis = var_15, x = aw_229_cast_fp16)[name = tensor<string, []>("op_2228_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2229_cast_fp16 = softmax(axis = var_15, x = aw_231_cast_fp16)[name = tensor<string, []>("op_2229_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2230_cast_fp16 = softmax(axis = var_15, x = aw_233_cast_fp16)[name = tensor<string, []>("op_2230_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2231_cast_fp16 = softmax(axis = var_15, x = aw_235_cast_fp16)[name = tensor<string, []>("op_2231_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2232_cast_fp16 = softmax(axis = var_15, x = aw_237_cast_fp16)[name = tensor<string, []>("op_2232_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2233_cast_fp16 = softmax(axis = var_15, x = aw_239_cast_fp16)[name = tensor<string, []>("op_2233_cast_fp16")];
            tensor<string, []> var_2235_equation_0 = const()[name = tensor<string, []>("op_2235_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2235_cast_fp16 = einsum(equation = var_2235_equation_0, values = (var_2161_cast_fp16_0, var_2222_cast_fp16))[name = tensor<string, []>("op_2235_cast_fp16")];
            tensor<string, []> var_2237_equation_0 = const()[name = tensor<string, []>("op_2237_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2237_cast_fp16 = einsum(equation = var_2237_equation_0, values = (var_2161_cast_fp16_1, var_2223_cast_fp16))[name = tensor<string, []>("op_2237_cast_fp16")];
            tensor<string, []> var_2239_equation_0 = const()[name = tensor<string, []>("op_2239_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2239_cast_fp16 = einsum(equation = var_2239_equation_0, values = (var_2161_cast_fp16_2, var_2224_cast_fp16))[name = tensor<string, []>("op_2239_cast_fp16")];
            tensor<string, []> var_2241_equation_0 = const()[name = tensor<string, []>("op_2241_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2241_cast_fp16 = einsum(equation = var_2241_equation_0, values = (var_2161_cast_fp16_3, var_2225_cast_fp16))[name = tensor<string, []>("op_2241_cast_fp16")];
            tensor<string, []> var_2243_equation_0 = const()[name = tensor<string, []>("op_2243_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2243_cast_fp16 = einsum(equation = var_2243_equation_0, values = (var_2161_cast_fp16_4, var_2226_cast_fp16))[name = tensor<string, []>("op_2243_cast_fp16")];
            tensor<string, []> var_2245_equation_0 = const()[name = tensor<string, []>("op_2245_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2245_cast_fp16 = einsum(equation = var_2245_equation_0, values = (var_2161_cast_fp16_5, var_2227_cast_fp16))[name = tensor<string, []>("op_2245_cast_fp16")];
            tensor<string, []> var_2247_equation_0 = const()[name = tensor<string, []>("op_2247_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2247_cast_fp16 = einsum(equation = var_2247_equation_0, values = (var_2161_cast_fp16_6, var_2228_cast_fp16))[name = tensor<string, []>("op_2247_cast_fp16")];
            tensor<string, []> var_2249_equation_0 = const()[name = tensor<string, []>("op_2249_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2249_cast_fp16 = einsum(equation = var_2249_equation_0, values = (var_2161_cast_fp16_7, var_2229_cast_fp16))[name = tensor<string, []>("op_2249_cast_fp16")];
            tensor<string, []> var_2251_equation_0 = const()[name = tensor<string, []>("op_2251_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2251_cast_fp16 = einsum(equation = var_2251_equation_0, values = (var_2161_cast_fp16_8, var_2230_cast_fp16))[name = tensor<string, []>("op_2251_cast_fp16")];
            tensor<string, []> var_2253_equation_0 = const()[name = tensor<string, []>("op_2253_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2253_cast_fp16 = einsum(equation = var_2253_equation_0, values = (var_2161_cast_fp16_9, var_2231_cast_fp16))[name = tensor<string, []>("op_2253_cast_fp16")];
            tensor<string, []> var_2255_equation_0 = const()[name = tensor<string, []>("op_2255_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2255_cast_fp16 = einsum(equation = var_2255_equation_0, values = (var_2161_cast_fp16_10, var_2232_cast_fp16))[name = tensor<string, []>("op_2255_cast_fp16")];
            tensor<string, []> var_2257_equation_0 = const()[name = tensor<string, []>("op_2257_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2257_cast_fp16 = einsum(equation = var_2257_equation_0, values = (var_2161_cast_fp16_11, var_2233_cast_fp16))[name = tensor<string, []>("op_2257_cast_fp16")];
            tensor<bool, []> input_55_interleave_0 = const()[name = tensor<string, []>("input_55_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 1952]> input_55_cast_fp16 = concat(axis = var_15, interleave = input_55_interleave_0, values = (var_2235_cast_fp16, var_2237_cast_fp16, var_2239_cast_fp16, var_2241_cast_fp16, var_2243_cast_fp16, var_2245_cast_fp16, var_2247_cast_fp16, var_2249_cast_fp16, var_2251_cast_fp16, var_2253_cast_fp16, var_2255_cast_fp16, var_2257_cast_fp16))[name = tensor<string, []>("input_55_cast_fp16")];
            tensor<int32, [2]> var_2262 = const()[name = tensor<string, []>("op_2262"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2264 = const()[name = tensor<string, []>("op_2264"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2266_pad_type_0 = const()[name = tensor<string, []>("op_2266_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2266_pad_0 = const()[name = tensor<string, []>("op_2266_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67559104)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2266_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_attn_out_proj_bias_to_fp16, dilations = var_2264, groups = var_15, pad = var_2266_pad_0, pad_type = var_2266_pad_type_0, strides = var_2262, weight = vision_model_transformer_resblocks_9_attn_out_proj_weight_cast_fp16, x = input_55_cast_fp16)[name = tensor<string, []>("op_2266_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_43_cast_fp16 = add(x = inputs_41_cast_fp16, y = var_2266_cast_fp16)[name = tensor<string, []>("inputs_43_cast_fp16")];
            tensor<int32, [1]> out_41_axes_0 = const()[name = tensor<string, []>("out_41_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2276_to_fp16 = const()[name = tensor<string, []>("op_2276_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_41_cast_fp16 = layer_norm(axes = out_41_axes_0, epsilon = var_2276_to_fp16, x = inputs_43_cast_fp16)[name = tensor<string, []>("out_41_cast_fp16")];
            tensor<fp16, [768]> input_57_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_57_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67560704)))];
            tensor<fp16, [768]> input_57_beta_0_to_fp16 = const()[name = tensor<string, []>("input_57_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67562304)))];
            tensor<fp16, []> input_57_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_57_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> input_57_cast_fp16 = batch_norm(beta = input_57_beta_0_to_fp16, epsilon = input_57_epsilon_0_to_fp16, gamma = input_57_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_41_cast_fp16)[name = tensor<string, []>("input_57_cast_fp16")];
            tensor<int32, [2]> var_2290 = const()[name = tensor<string, []>("op_2290"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2292 = const()[name = tensor<string, []>("op_2292"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_33_pad_type_0 = const()[name = tensor<string, []>("x_33_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_33_pad_0 = const()[name = tensor<string, []>("x_33_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_9_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67563904)))];
            tensor<fp16, [1, 3072, 1, 1952]> x_33_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_mlp_c_fc_bias_to_fp16, dilations = var_2292, groups = var_15, pad = x_33_pad_0, pad_type = x_33_pad_type_0, strides = var_2290, weight = vision_model_transformer_resblocks_9_mlp_c_fc_weight_cast_fp16, x = input_57_cast_fp16)[name = tensor<string, []>("x_33_cast_fp16")];
            tensor<fp16, []> var_2295_to_fp16 = const()[name = tensor<string, []>("op_2295_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 1952]> var_2296_cast_fp16 = mul(x = x_33_cast_fp16, y = var_2295_to_fp16)[name = tensor<string, []>("op_2296_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> var_2297_cast_fp16 = sigmoid(x = var_2296_cast_fp16)[name = tensor<string, []>("op_2297_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> input_59_cast_fp16 = mul(x = x_33_cast_fp16, y = var_2297_cast_fp16)[name = tensor<string, []>("input_59_cast_fp16")];
            tensor<int32, [2]> var_2301 = const()[name = tensor<string, []>("op_2301"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2303 = const()[name = tensor<string, []>("op_2303"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2305_pad_type_0 = const()[name = tensor<string, []>("op_2305_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2305_pad_0 = const()[name = tensor<string, []>("op_2305_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_9_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_9_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67570112)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2305_cast_fp16 = conv(bias = vision_model_transformer_resblocks_9_mlp_c_proj_bias_to_fp16, dilations = var_2303, groups = var_15, pad = var_2305_pad_0, pad_type = var_2305_pad_type_0, strides = var_2301, weight = vision_model_transformer_resblocks_9_mlp_c_proj_weight_cast_fp16, x = input_59_cast_fp16)[name = tensor<string, []>("op_2305_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_45_cast_fp16 = add(x = inputs_43_cast_fp16, y = var_2305_cast_fp16)[name = tensor<string, []>("inputs_45_cast_fp16")];
            tensor<int32, [1]> out_43_axes_0 = const()[name = tensor<string, []>("out_43_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2319_to_fp16 = const()[name = tensor<string, []>("op_2319_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_43_cast_fp16 = layer_norm(axes = out_43_axes_0, epsilon = var_2319_to_fp16, x = inputs_45_cast_fp16)[name = tensor<string, []>("out_43_cast_fp16")];
            tensor<fp16, [768]> query_21_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_21_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67571712)))];
            tensor<fp16, [768]> query_21_beta_0_to_fp16 = const()[name = tensor<string, []>("query_21_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67573312)))];
            tensor<fp16, []> query_21_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_21_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> query_21_cast_fp16 = batch_norm(beta = query_21_beta_0_to_fp16, epsilon = query_21_epsilon_0_to_fp16, gamma = query_21_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_43_cast_fp16)[name = tensor<string, []>("query_21_cast_fp16")];
            tensor<int32, [2]> var_2335 = const()[name = tensor<string, []>("op_2335"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2337 = const()[name = tensor<string, []>("op_2337"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2339_pad_type_0 = const()[name = tensor<string, []>("op_2339_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2339_pad_0 = const()[name = tensor<string, []>("op_2339_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67574912)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2339_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_query_bias_to_fp16, dilations = var_2337, groups = var_15, pad = var_2339_pad_0, pad_type = var_2339_pad_type_0, strides = var_2335, weight = vision_model_transformer_resblocks_10_attn_query_weight_cast_fp16, x = query_21_cast_fp16)[name = tensor<string, []>("op_2339_cast_fp16")];
            tensor<int32, [2]> var_2342 = const()[name = tensor<string, []>("op_2342"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2344 = const()[name = tensor<string, []>("op_2344"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_21_pad_type_0 = const()[name = tensor<string, []>("k_21_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_21_pad_0 = const()[name = tensor<string, []>("k_21_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67576512)))];
            tensor<fp16, [1, 768, 1, 1952]> k_21_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_key_bias_to_fp16, dilations = var_2344, groups = var_15, pad = k_21_pad_0, pad_type = k_21_pad_type_0, strides = var_2342, weight = vision_model_transformer_resblocks_10_attn_key_weight_cast_fp16, x = query_21_cast_fp16)[name = tensor<string, []>("k_21_cast_fp16")];
            tensor<int32, [2]> var_2349 = const()[name = tensor<string, []>("op_2349"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2351 = const()[name = tensor<string, []>("op_2351"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2353_pad_type_0 = const()[name = tensor<string, []>("op_2353_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2353_pad_0 = const()[name = tensor<string, []>("op_2353_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67578112)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2353_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_value_bias_to_fp16, dilations = var_2351, groups = var_15, pad = var_2353_pad_0, pad_type = var_2353_pad_type_0, strides = var_2349, weight = vision_model_transformer_resblocks_10_attn_value_weight_cast_fp16, x = query_21_cast_fp16)[name = tensor<string, []>("op_2353_cast_fp16")];
            tensor<int32, [12]> tile_30 = const()[name = tensor<string, []>("tile_30"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2354_axis_0 = const()[name = tensor<string, []>("op_2354_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_2354_cast_fp16_11 = split(axis = var_2354_axis_0, split_sizes = tile_30, x = var_2339_cast_fp16)[name = tensor<string, []>("op_2354_cast_fp16")];
            tensor<int32, [4]> var_2367_perm_0 = const()[name = tensor<string, []>("op_2367_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_31 = const()[name = tensor<string, []>("tile_31"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2368_axis_0 = const()[name = tensor<string, []>("op_2368_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 1952, 1, 768]> transpose_2 = transpose(perm = var_2367_perm_0, x = k_21_cast_fp16)[name = tensor<string, []>("transpose_2")];
            tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_0, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_1, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_2, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_3, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_4, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_5, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_6, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_7, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_8, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_9, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_10, tensor<fp16, [1, 1952, 1, 64]> var_2368_cast_fp16_11 = split(axis = var_2368_axis_0, split_sizes = tile_31, x = transpose_2)[name = tensor<string, []>("op_2368_cast_fp16")];
            tensor<int32, [12]> tile_32 = const()[name = tensor<string, []>("tile_32"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2381_axis_0 = const()[name = tensor<string, []>("op_2381_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_2381_cast_fp16_11 = split(axis = var_2381_axis_0, split_sizes = tile_32, x = var_2353_cast_fp16)[name = tensor<string, []>("op_2381_cast_fp16")];
            tensor<string, []> var_2395_equation_0 = const()[name = tensor<string, []>("op_2395_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2395_cast_fp16 = einsum(equation = var_2395_equation_0, values = (var_2368_cast_fp16_0, var_2354_cast_fp16_0))[name = tensor<string, []>("op_2395_cast_fp16")];
            tensor<fp16, []> var_2396_to_fp16 = const()[name = tensor<string, []>("op_2396_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_241_cast_fp16 = mul(x = var_2395_cast_fp16, y = var_2396_to_fp16)[name = tensor<string, []>("aw_241_cast_fp16")];
            tensor<string, []> var_2399_equation_0 = const()[name = tensor<string, []>("op_2399_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2399_cast_fp16 = einsum(equation = var_2399_equation_0, values = (var_2368_cast_fp16_1, var_2354_cast_fp16_1))[name = tensor<string, []>("op_2399_cast_fp16")];
            tensor<fp16, []> var_2400_to_fp16 = const()[name = tensor<string, []>("op_2400_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_243_cast_fp16 = mul(x = var_2399_cast_fp16, y = var_2400_to_fp16)[name = tensor<string, []>("aw_243_cast_fp16")];
            tensor<string, []> var_2403_equation_0 = const()[name = tensor<string, []>("op_2403_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2403_cast_fp16 = einsum(equation = var_2403_equation_0, values = (var_2368_cast_fp16_2, var_2354_cast_fp16_2))[name = tensor<string, []>("op_2403_cast_fp16")];
            tensor<fp16, []> var_2404_to_fp16 = const()[name = tensor<string, []>("op_2404_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_245_cast_fp16 = mul(x = var_2403_cast_fp16, y = var_2404_to_fp16)[name = tensor<string, []>("aw_245_cast_fp16")];
            tensor<string, []> var_2407_equation_0 = const()[name = tensor<string, []>("op_2407_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2407_cast_fp16 = einsum(equation = var_2407_equation_0, values = (var_2368_cast_fp16_3, var_2354_cast_fp16_3))[name = tensor<string, []>("op_2407_cast_fp16")];
            tensor<fp16, []> var_2408_to_fp16 = const()[name = tensor<string, []>("op_2408_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_247_cast_fp16 = mul(x = var_2407_cast_fp16, y = var_2408_to_fp16)[name = tensor<string, []>("aw_247_cast_fp16")];
            tensor<string, []> var_2411_equation_0 = const()[name = tensor<string, []>("op_2411_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2411_cast_fp16 = einsum(equation = var_2411_equation_0, values = (var_2368_cast_fp16_4, var_2354_cast_fp16_4))[name = tensor<string, []>("op_2411_cast_fp16")];
            tensor<fp16, []> var_2412_to_fp16 = const()[name = tensor<string, []>("op_2412_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_249_cast_fp16 = mul(x = var_2411_cast_fp16, y = var_2412_to_fp16)[name = tensor<string, []>("aw_249_cast_fp16")];
            tensor<string, []> var_2415_equation_0 = const()[name = tensor<string, []>("op_2415_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2415_cast_fp16 = einsum(equation = var_2415_equation_0, values = (var_2368_cast_fp16_5, var_2354_cast_fp16_5))[name = tensor<string, []>("op_2415_cast_fp16")];
            tensor<fp16, []> var_2416_to_fp16 = const()[name = tensor<string, []>("op_2416_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_251_cast_fp16 = mul(x = var_2415_cast_fp16, y = var_2416_to_fp16)[name = tensor<string, []>("aw_251_cast_fp16")];
            tensor<string, []> var_2419_equation_0 = const()[name = tensor<string, []>("op_2419_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2419_cast_fp16 = einsum(equation = var_2419_equation_0, values = (var_2368_cast_fp16_6, var_2354_cast_fp16_6))[name = tensor<string, []>("op_2419_cast_fp16")];
            tensor<fp16, []> var_2420_to_fp16 = const()[name = tensor<string, []>("op_2420_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_253_cast_fp16 = mul(x = var_2419_cast_fp16, y = var_2420_to_fp16)[name = tensor<string, []>("aw_253_cast_fp16")];
            tensor<string, []> var_2423_equation_0 = const()[name = tensor<string, []>("op_2423_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2423_cast_fp16 = einsum(equation = var_2423_equation_0, values = (var_2368_cast_fp16_7, var_2354_cast_fp16_7))[name = tensor<string, []>("op_2423_cast_fp16")];
            tensor<fp16, []> var_2424_to_fp16 = const()[name = tensor<string, []>("op_2424_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_255_cast_fp16 = mul(x = var_2423_cast_fp16, y = var_2424_to_fp16)[name = tensor<string, []>("aw_255_cast_fp16")];
            tensor<string, []> var_2427_equation_0 = const()[name = tensor<string, []>("op_2427_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2427_cast_fp16 = einsum(equation = var_2427_equation_0, values = (var_2368_cast_fp16_8, var_2354_cast_fp16_8))[name = tensor<string, []>("op_2427_cast_fp16")];
            tensor<fp16, []> var_2428_to_fp16 = const()[name = tensor<string, []>("op_2428_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_257_cast_fp16 = mul(x = var_2427_cast_fp16, y = var_2428_to_fp16)[name = tensor<string, []>("aw_257_cast_fp16")];
            tensor<string, []> var_2431_equation_0 = const()[name = tensor<string, []>("op_2431_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2431_cast_fp16 = einsum(equation = var_2431_equation_0, values = (var_2368_cast_fp16_9, var_2354_cast_fp16_9))[name = tensor<string, []>("op_2431_cast_fp16")];
            tensor<fp16, []> var_2432_to_fp16 = const()[name = tensor<string, []>("op_2432_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_259_cast_fp16 = mul(x = var_2431_cast_fp16, y = var_2432_to_fp16)[name = tensor<string, []>("aw_259_cast_fp16")];
            tensor<string, []> var_2435_equation_0 = const()[name = tensor<string, []>("op_2435_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2435_cast_fp16 = einsum(equation = var_2435_equation_0, values = (var_2368_cast_fp16_10, var_2354_cast_fp16_10))[name = tensor<string, []>("op_2435_cast_fp16")];
            tensor<fp16, []> var_2436_to_fp16 = const()[name = tensor<string, []>("op_2436_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_261_cast_fp16 = mul(x = var_2435_cast_fp16, y = var_2436_to_fp16)[name = tensor<string, []>("aw_261_cast_fp16")];
            tensor<string, []> var_2439_equation_0 = const()[name = tensor<string, []>("op_2439_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2439_cast_fp16 = einsum(equation = var_2439_equation_0, values = (var_2368_cast_fp16_11, var_2354_cast_fp16_11))[name = tensor<string, []>("op_2439_cast_fp16")];
            tensor<fp16, []> var_2440_to_fp16 = const()[name = tensor<string, []>("op_2440_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_263_cast_fp16 = mul(x = var_2439_cast_fp16, y = var_2440_to_fp16)[name = tensor<string, []>("aw_263_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2442_cast_fp16 = softmax(axis = var_15, x = aw_241_cast_fp16)[name = tensor<string, []>("op_2442_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2443_cast_fp16 = softmax(axis = var_15, x = aw_243_cast_fp16)[name = tensor<string, []>("op_2443_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2444_cast_fp16 = softmax(axis = var_15, x = aw_245_cast_fp16)[name = tensor<string, []>("op_2444_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2445_cast_fp16 = softmax(axis = var_15, x = aw_247_cast_fp16)[name = tensor<string, []>("op_2445_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2446_cast_fp16 = softmax(axis = var_15, x = aw_249_cast_fp16)[name = tensor<string, []>("op_2446_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2447_cast_fp16 = softmax(axis = var_15, x = aw_251_cast_fp16)[name = tensor<string, []>("op_2447_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2448_cast_fp16 = softmax(axis = var_15, x = aw_253_cast_fp16)[name = tensor<string, []>("op_2448_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2449_cast_fp16 = softmax(axis = var_15, x = aw_255_cast_fp16)[name = tensor<string, []>("op_2449_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2450_cast_fp16 = softmax(axis = var_15, x = aw_257_cast_fp16)[name = tensor<string, []>("op_2450_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2451_cast_fp16 = softmax(axis = var_15, x = aw_259_cast_fp16)[name = tensor<string, []>("op_2451_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2452_cast_fp16 = softmax(axis = var_15, x = aw_261_cast_fp16)[name = tensor<string, []>("op_2452_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2453_cast_fp16 = softmax(axis = var_15, x = aw_263_cast_fp16)[name = tensor<string, []>("op_2453_cast_fp16")];
            tensor<string, []> var_2455_equation_0 = const()[name = tensor<string, []>("op_2455_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2455_cast_fp16 = einsum(equation = var_2455_equation_0, values = (var_2381_cast_fp16_0, var_2442_cast_fp16))[name = tensor<string, []>("op_2455_cast_fp16")];
            tensor<string, []> var_2457_equation_0 = const()[name = tensor<string, []>("op_2457_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2457_cast_fp16 = einsum(equation = var_2457_equation_0, values = (var_2381_cast_fp16_1, var_2443_cast_fp16))[name = tensor<string, []>("op_2457_cast_fp16")];
            tensor<string, []> var_2459_equation_0 = const()[name = tensor<string, []>("op_2459_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2459_cast_fp16 = einsum(equation = var_2459_equation_0, values = (var_2381_cast_fp16_2, var_2444_cast_fp16))[name = tensor<string, []>("op_2459_cast_fp16")];
            tensor<string, []> var_2461_equation_0 = const()[name = tensor<string, []>("op_2461_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2461_cast_fp16 = einsum(equation = var_2461_equation_0, values = (var_2381_cast_fp16_3, var_2445_cast_fp16))[name = tensor<string, []>("op_2461_cast_fp16")];
            tensor<string, []> var_2463_equation_0 = const()[name = tensor<string, []>("op_2463_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2463_cast_fp16 = einsum(equation = var_2463_equation_0, values = (var_2381_cast_fp16_4, var_2446_cast_fp16))[name = tensor<string, []>("op_2463_cast_fp16")];
            tensor<string, []> var_2465_equation_0 = const()[name = tensor<string, []>("op_2465_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2465_cast_fp16 = einsum(equation = var_2465_equation_0, values = (var_2381_cast_fp16_5, var_2447_cast_fp16))[name = tensor<string, []>("op_2465_cast_fp16")];
            tensor<string, []> var_2467_equation_0 = const()[name = tensor<string, []>("op_2467_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2467_cast_fp16 = einsum(equation = var_2467_equation_0, values = (var_2381_cast_fp16_6, var_2448_cast_fp16))[name = tensor<string, []>("op_2467_cast_fp16")];
            tensor<string, []> var_2469_equation_0 = const()[name = tensor<string, []>("op_2469_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2469_cast_fp16 = einsum(equation = var_2469_equation_0, values = (var_2381_cast_fp16_7, var_2449_cast_fp16))[name = tensor<string, []>("op_2469_cast_fp16")];
            tensor<string, []> var_2471_equation_0 = const()[name = tensor<string, []>("op_2471_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2471_cast_fp16 = einsum(equation = var_2471_equation_0, values = (var_2381_cast_fp16_8, var_2450_cast_fp16))[name = tensor<string, []>("op_2471_cast_fp16")];
            tensor<string, []> var_2473_equation_0 = const()[name = tensor<string, []>("op_2473_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2473_cast_fp16 = einsum(equation = var_2473_equation_0, values = (var_2381_cast_fp16_9, var_2451_cast_fp16))[name = tensor<string, []>("op_2473_cast_fp16")];
            tensor<string, []> var_2475_equation_0 = const()[name = tensor<string, []>("op_2475_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2475_cast_fp16 = einsum(equation = var_2475_equation_0, values = (var_2381_cast_fp16_10, var_2452_cast_fp16))[name = tensor<string, []>("op_2475_cast_fp16")];
            tensor<string, []> var_2477_equation_0 = const()[name = tensor<string, []>("op_2477_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2477_cast_fp16 = einsum(equation = var_2477_equation_0, values = (var_2381_cast_fp16_11, var_2453_cast_fp16))[name = tensor<string, []>("op_2477_cast_fp16")];
            tensor<bool, []> input_61_interleave_0 = const()[name = tensor<string, []>("input_61_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 1952]> input_61_cast_fp16 = concat(axis = var_15, interleave = input_61_interleave_0, values = (var_2455_cast_fp16, var_2457_cast_fp16, var_2459_cast_fp16, var_2461_cast_fp16, var_2463_cast_fp16, var_2465_cast_fp16, var_2467_cast_fp16, var_2469_cast_fp16, var_2471_cast_fp16, var_2473_cast_fp16, var_2475_cast_fp16, var_2477_cast_fp16))[name = tensor<string, []>("input_61_cast_fp16")];
            tensor<int32, [2]> var_2482 = const()[name = tensor<string, []>("op_2482"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2484 = const()[name = tensor<string, []>("op_2484"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2486_pad_type_0 = const()[name = tensor<string, []>("op_2486_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2486_pad_0 = const()[name = tensor<string, []>("op_2486_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67579712)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2486_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_attn_out_proj_bias_to_fp16, dilations = var_2484, groups = var_15, pad = var_2486_pad_0, pad_type = var_2486_pad_type_0, strides = var_2482, weight = vision_model_transformer_resblocks_10_attn_out_proj_weight_cast_fp16, x = input_61_cast_fp16)[name = tensor<string, []>("op_2486_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_47_cast_fp16 = add(x = inputs_45_cast_fp16, y = var_2486_cast_fp16)[name = tensor<string, []>("inputs_47_cast_fp16")];
            tensor<int32, [1]> out_45_axes_0 = const()[name = tensor<string, []>("out_45_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2496_to_fp16 = const()[name = tensor<string, []>("op_2496_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_45_cast_fp16 = layer_norm(axes = out_45_axes_0, epsilon = var_2496_to_fp16, x = inputs_47_cast_fp16)[name = tensor<string, []>("out_45_cast_fp16")];
            tensor<fp16, [768]> input_63_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_63_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67581312)))];
            tensor<fp16, [768]> input_63_beta_0_to_fp16 = const()[name = tensor<string, []>("input_63_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67582912)))];
            tensor<fp16, []> input_63_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_63_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> input_63_cast_fp16 = batch_norm(beta = input_63_beta_0_to_fp16, epsilon = input_63_epsilon_0_to_fp16, gamma = input_63_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_45_cast_fp16)[name = tensor<string, []>("input_63_cast_fp16")];
            tensor<int32, [2]> var_2510 = const()[name = tensor<string, []>("op_2510"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2512 = const()[name = tensor<string, []>("op_2512"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_35_pad_type_0 = const()[name = tensor<string, []>("x_35_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_35_pad_0 = const()[name = tensor<string, []>("x_35_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_10_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67584512)))];
            tensor<fp16, [1, 3072, 1, 1952]> x_35_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_mlp_c_fc_bias_to_fp16, dilations = var_2512, groups = var_15, pad = x_35_pad_0, pad_type = x_35_pad_type_0, strides = var_2510, weight = vision_model_transformer_resblocks_10_mlp_c_fc_weight_cast_fp16, x = input_63_cast_fp16)[name = tensor<string, []>("x_35_cast_fp16")];
            tensor<fp16, []> var_2515_to_fp16 = const()[name = tensor<string, []>("op_2515_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 1952]> var_2516_cast_fp16 = mul(x = x_35_cast_fp16, y = var_2515_to_fp16)[name = tensor<string, []>("op_2516_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> var_2517_cast_fp16 = sigmoid(x = var_2516_cast_fp16)[name = tensor<string, []>("op_2517_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> input_65_cast_fp16 = mul(x = x_35_cast_fp16, y = var_2517_cast_fp16)[name = tensor<string, []>("input_65_cast_fp16")];
            tensor<int32, [2]> var_2521 = const()[name = tensor<string, []>("op_2521"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2523 = const()[name = tensor<string, []>("op_2523"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2525_pad_type_0 = const()[name = tensor<string, []>("op_2525_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2525_pad_0 = const()[name = tensor<string, []>("op_2525_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_10_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_10_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67590720)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2525_cast_fp16 = conv(bias = vision_model_transformer_resblocks_10_mlp_c_proj_bias_to_fp16, dilations = var_2523, groups = var_15, pad = var_2525_pad_0, pad_type = var_2525_pad_type_0, strides = var_2521, weight = vision_model_transformer_resblocks_10_mlp_c_proj_weight_cast_fp16, x = input_65_cast_fp16)[name = tensor<string, []>("op_2525_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_49_cast_fp16 = add(x = inputs_47_cast_fp16, y = var_2525_cast_fp16)[name = tensor<string, []>("inputs_49_cast_fp16")];
            tensor<int32, [1]> out_47_axes_0 = const()[name = tensor<string, []>("out_47_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2539_to_fp16 = const()[name = tensor<string, []>("op_2539_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_47_cast_fp16 = layer_norm(axes = out_47_axes_0, epsilon = var_2539_to_fp16, x = inputs_49_cast_fp16)[name = tensor<string, []>("out_47_cast_fp16")];
            tensor<fp16, [768]> query_23_gamma_0_to_fp16 = const()[name = tensor<string, []>("query_23_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67592320)))];
            tensor<fp16, [768]> query_23_beta_0_to_fp16 = const()[name = tensor<string, []>("query_23_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67593920)))];
            tensor<fp16, []> query_23_epsilon_0_to_fp16 = const()[name = tensor<string, []>("query_23_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> query_23_cast_fp16 = batch_norm(beta = query_23_beta_0_to_fp16, epsilon = query_23_epsilon_0_to_fp16, gamma = query_23_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_47_cast_fp16)[name = tensor<string, []>("query_23_cast_fp16")];
            tensor<int32, [2]> var_2555 = const()[name = tensor<string, []>("op_2555"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2557 = const()[name = tensor<string, []>("op_2557"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2559_pad_type_0 = const()[name = tensor<string, []>("op_2559_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2559_pad_0 = const()[name = tensor<string, []>("op_2559_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_query_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_query_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67595520)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2559_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_query_bias_to_fp16, dilations = var_2557, groups = var_15, pad = var_2559_pad_0, pad_type = var_2559_pad_type_0, strides = var_2555, weight = vision_model_transformer_resblocks_11_attn_query_weight_cast_fp16, x = query_23_cast_fp16)[name = tensor<string, []>("op_2559_cast_fp16")];
            tensor<int32, [2]> var_2562 = const()[name = tensor<string, []>("op_2562"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2564 = const()[name = tensor<string, []>("op_2564"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> k_pad_type_0 = const()[name = tensor<string, []>("k_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> k_pad_0 = const()[name = tensor<string, []>("k_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_key_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_key_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67597120)))];
            tensor<fp16, [1, 768, 1, 1952]> k_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_key_bias_to_fp16, dilations = var_2564, groups = var_15, pad = k_pad_0, pad_type = k_pad_type_0, strides = var_2562, weight = vision_model_transformer_resblocks_11_attn_key_weight_cast_fp16, x = query_23_cast_fp16)[name = tensor<string, []>("k_cast_fp16")];
            tensor<int32, [2]> var_2569 = const()[name = tensor<string, []>("op_2569"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2571 = const()[name = tensor<string, []>("op_2571"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2573_pad_type_0 = const()[name = tensor<string, []>("op_2573_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2573_pad_0 = const()[name = tensor<string, []>("op_2573_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_value_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_value_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67598720)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2573_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_value_bias_to_fp16, dilations = var_2571, groups = var_15, pad = var_2573_pad_0, pad_type = var_2573_pad_type_0, strides = var_2569, weight = vision_model_transformer_resblocks_11_attn_value_weight_cast_fp16, x = query_23_cast_fp16)[name = tensor<string, []>("op_2573_cast_fp16")];
            tensor<int32, [12]> tile_33 = const()[name = tensor<string, []>("tile_33"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2574_axis_0 = const()[name = tensor<string, []>("op_2574_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_2574_cast_fp16_11 = split(axis = var_2574_axis_0, split_sizes = tile_33, x = var_2559_cast_fp16)[name = tensor<string, []>("op_2574_cast_fp16")];
            tensor<int32, [4]> var_2587_perm_0 = const()[name = tensor<string, []>("op_2587_perm_0"), val = tensor<int32, [4]>([0, 3, 2, 1])];
            tensor<int32, [12]> tile_34 = const()[name = tensor<string, []>("tile_34"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2588_axis_0 = const()[name = tensor<string, []>("op_2588_axis_0"), val = tensor<int32, []>(3)];
            tensor<fp16, [1, 1952, 1, 768]> transpose_1 = transpose(perm = var_2587_perm_0, x = k_cast_fp16)[name = tensor<string, []>("transpose_1")];
            tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_0, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_1, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_2, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_3, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_4, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_5, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_6, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_7, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_8, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_9, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_10, tensor<fp16, [1, 1952, 1, 64]> var_2588_cast_fp16_11 = split(axis = var_2588_axis_0, split_sizes = tile_34, x = transpose_1)[name = tensor<string, []>("op_2588_cast_fp16")];
            tensor<int32, [12]> tile_35 = const()[name = tensor<string, []>("tile_35"), val = tensor<int32, [12]>([64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64])];
            tensor<int32, []> var_2601_axis_0 = const()[name = tensor<string, []>("op_2601_axis_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_0, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_1, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_2, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_3, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_4, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_5, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_6, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_7, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_8, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_9, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_10, tensor<fp16, [1, 64, 1, 1952]> var_2601_cast_fp16_11 = split(axis = var_2601_axis_0, split_sizes = tile_35, x = var_2573_cast_fp16)[name = tensor<string, []>("op_2601_cast_fp16")];
            tensor<string, []> var_2615_equation_0 = const()[name = tensor<string, []>("op_2615_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2615_cast_fp16 = einsum(equation = var_2615_equation_0, values = (var_2588_cast_fp16_0, var_2574_cast_fp16_0))[name = tensor<string, []>("op_2615_cast_fp16")];
            tensor<fp16, []> var_2616_to_fp16 = const()[name = tensor<string, []>("op_2616_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_265_cast_fp16 = mul(x = var_2615_cast_fp16, y = var_2616_to_fp16)[name = tensor<string, []>("aw_265_cast_fp16")];
            tensor<string, []> var_2619_equation_0 = const()[name = tensor<string, []>("op_2619_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2619_cast_fp16 = einsum(equation = var_2619_equation_0, values = (var_2588_cast_fp16_1, var_2574_cast_fp16_1))[name = tensor<string, []>("op_2619_cast_fp16")];
            tensor<fp16, []> var_2620_to_fp16 = const()[name = tensor<string, []>("op_2620_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_267_cast_fp16 = mul(x = var_2619_cast_fp16, y = var_2620_to_fp16)[name = tensor<string, []>("aw_267_cast_fp16")];
            tensor<string, []> var_2623_equation_0 = const()[name = tensor<string, []>("op_2623_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2623_cast_fp16 = einsum(equation = var_2623_equation_0, values = (var_2588_cast_fp16_2, var_2574_cast_fp16_2))[name = tensor<string, []>("op_2623_cast_fp16")];
            tensor<fp16, []> var_2624_to_fp16 = const()[name = tensor<string, []>("op_2624_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_269_cast_fp16 = mul(x = var_2623_cast_fp16, y = var_2624_to_fp16)[name = tensor<string, []>("aw_269_cast_fp16")];
            tensor<string, []> var_2627_equation_0 = const()[name = tensor<string, []>("op_2627_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2627_cast_fp16 = einsum(equation = var_2627_equation_0, values = (var_2588_cast_fp16_3, var_2574_cast_fp16_3))[name = tensor<string, []>("op_2627_cast_fp16")];
            tensor<fp16, []> var_2628_to_fp16 = const()[name = tensor<string, []>("op_2628_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_271_cast_fp16 = mul(x = var_2627_cast_fp16, y = var_2628_to_fp16)[name = tensor<string, []>("aw_271_cast_fp16")];
            tensor<string, []> var_2631_equation_0 = const()[name = tensor<string, []>("op_2631_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2631_cast_fp16 = einsum(equation = var_2631_equation_0, values = (var_2588_cast_fp16_4, var_2574_cast_fp16_4))[name = tensor<string, []>("op_2631_cast_fp16")];
            tensor<fp16, []> var_2632_to_fp16 = const()[name = tensor<string, []>("op_2632_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_273_cast_fp16 = mul(x = var_2631_cast_fp16, y = var_2632_to_fp16)[name = tensor<string, []>("aw_273_cast_fp16")];
            tensor<string, []> var_2635_equation_0 = const()[name = tensor<string, []>("op_2635_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2635_cast_fp16 = einsum(equation = var_2635_equation_0, values = (var_2588_cast_fp16_5, var_2574_cast_fp16_5))[name = tensor<string, []>("op_2635_cast_fp16")];
            tensor<fp16, []> var_2636_to_fp16 = const()[name = tensor<string, []>("op_2636_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_275_cast_fp16 = mul(x = var_2635_cast_fp16, y = var_2636_to_fp16)[name = tensor<string, []>("aw_275_cast_fp16")];
            tensor<string, []> var_2639_equation_0 = const()[name = tensor<string, []>("op_2639_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2639_cast_fp16 = einsum(equation = var_2639_equation_0, values = (var_2588_cast_fp16_6, var_2574_cast_fp16_6))[name = tensor<string, []>("op_2639_cast_fp16")];
            tensor<fp16, []> var_2640_to_fp16 = const()[name = tensor<string, []>("op_2640_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_277_cast_fp16 = mul(x = var_2639_cast_fp16, y = var_2640_to_fp16)[name = tensor<string, []>("aw_277_cast_fp16")];
            tensor<string, []> var_2643_equation_0 = const()[name = tensor<string, []>("op_2643_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2643_cast_fp16 = einsum(equation = var_2643_equation_0, values = (var_2588_cast_fp16_7, var_2574_cast_fp16_7))[name = tensor<string, []>("op_2643_cast_fp16")];
            tensor<fp16, []> var_2644_to_fp16 = const()[name = tensor<string, []>("op_2644_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_279_cast_fp16 = mul(x = var_2643_cast_fp16, y = var_2644_to_fp16)[name = tensor<string, []>("aw_279_cast_fp16")];
            tensor<string, []> var_2647_equation_0 = const()[name = tensor<string, []>("op_2647_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2647_cast_fp16 = einsum(equation = var_2647_equation_0, values = (var_2588_cast_fp16_8, var_2574_cast_fp16_8))[name = tensor<string, []>("op_2647_cast_fp16")];
            tensor<fp16, []> var_2648_to_fp16 = const()[name = tensor<string, []>("op_2648_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_281_cast_fp16 = mul(x = var_2647_cast_fp16, y = var_2648_to_fp16)[name = tensor<string, []>("aw_281_cast_fp16")];
            tensor<string, []> var_2651_equation_0 = const()[name = tensor<string, []>("op_2651_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2651_cast_fp16 = einsum(equation = var_2651_equation_0, values = (var_2588_cast_fp16_9, var_2574_cast_fp16_9))[name = tensor<string, []>("op_2651_cast_fp16")];
            tensor<fp16, []> var_2652_to_fp16 = const()[name = tensor<string, []>("op_2652_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_283_cast_fp16 = mul(x = var_2651_cast_fp16, y = var_2652_to_fp16)[name = tensor<string, []>("aw_283_cast_fp16")];
            tensor<string, []> var_2655_equation_0 = const()[name = tensor<string, []>("op_2655_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2655_cast_fp16 = einsum(equation = var_2655_equation_0, values = (var_2588_cast_fp16_10, var_2574_cast_fp16_10))[name = tensor<string, []>("op_2655_cast_fp16")];
            tensor<fp16, []> var_2656_to_fp16 = const()[name = tensor<string, []>("op_2656_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_285_cast_fp16 = mul(x = var_2655_cast_fp16, y = var_2656_to_fp16)[name = tensor<string, []>("aw_285_cast_fp16")];
            tensor<string, []> var_2659_equation_0 = const()[name = tensor<string, []>("op_2659_equation_0"), val = tensor<string, []>("bkhc,bchq->bkhq")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2659_cast_fp16 = einsum(equation = var_2659_equation_0, values = (var_2588_cast_fp16_11, var_2574_cast_fp16_11))[name = tensor<string, []>("op_2659_cast_fp16")];
            tensor<fp16, []> var_2660_to_fp16 = const()[name = tensor<string, []>("op_2660_to_fp16"), val = tensor<fp16, []>(0.125)];
            tensor<fp16, [1, 1952, 1, 1952]> aw_cast_fp16 = mul(x = var_2659_cast_fp16, y = var_2660_to_fp16)[name = tensor<string, []>("aw_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2662_cast_fp16 = softmax(axis = var_15, x = aw_265_cast_fp16)[name = tensor<string, []>("op_2662_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2663_cast_fp16 = softmax(axis = var_15, x = aw_267_cast_fp16)[name = tensor<string, []>("op_2663_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2664_cast_fp16 = softmax(axis = var_15, x = aw_269_cast_fp16)[name = tensor<string, []>("op_2664_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2665_cast_fp16 = softmax(axis = var_15, x = aw_271_cast_fp16)[name = tensor<string, []>("op_2665_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2666_cast_fp16 = softmax(axis = var_15, x = aw_273_cast_fp16)[name = tensor<string, []>("op_2666_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2667_cast_fp16 = softmax(axis = var_15, x = aw_275_cast_fp16)[name = tensor<string, []>("op_2667_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2668_cast_fp16 = softmax(axis = var_15, x = aw_277_cast_fp16)[name = tensor<string, []>("op_2668_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2669_cast_fp16 = softmax(axis = var_15, x = aw_279_cast_fp16)[name = tensor<string, []>("op_2669_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2670_cast_fp16 = softmax(axis = var_15, x = aw_281_cast_fp16)[name = tensor<string, []>("op_2670_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2671_cast_fp16 = softmax(axis = var_15, x = aw_283_cast_fp16)[name = tensor<string, []>("op_2671_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2672_cast_fp16 = softmax(axis = var_15, x = aw_285_cast_fp16)[name = tensor<string, []>("op_2672_cast_fp16")];
            tensor<fp16, [1, 1952, 1, 1952]> var_2673_cast_fp16 = softmax(axis = var_15, x = aw_cast_fp16)[name = tensor<string, []>("op_2673_cast_fp16")];
            tensor<string, []> var_2675_equation_0 = const()[name = tensor<string, []>("op_2675_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2675_cast_fp16 = einsum(equation = var_2675_equation_0, values = (var_2601_cast_fp16_0, var_2662_cast_fp16))[name = tensor<string, []>("op_2675_cast_fp16")];
            tensor<string, []> var_2677_equation_0 = const()[name = tensor<string, []>("op_2677_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2677_cast_fp16 = einsum(equation = var_2677_equation_0, values = (var_2601_cast_fp16_1, var_2663_cast_fp16))[name = tensor<string, []>("op_2677_cast_fp16")];
            tensor<string, []> var_2679_equation_0 = const()[name = tensor<string, []>("op_2679_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2679_cast_fp16 = einsum(equation = var_2679_equation_0, values = (var_2601_cast_fp16_2, var_2664_cast_fp16))[name = tensor<string, []>("op_2679_cast_fp16")];
            tensor<string, []> var_2681_equation_0 = const()[name = tensor<string, []>("op_2681_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2681_cast_fp16 = einsum(equation = var_2681_equation_0, values = (var_2601_cast_fp16_3, var_2665_cast_fp16))[name = tensor<string, []>("op_2681_cast_fp16")];
            tensor<string, []> var_2683_equation_0 = const()[name = tensor<string, []>("op_2683_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2683_cast_fp16 = einsum(equation = var_2683_equation_0, values = (var_2601_cast_fp16_4, var_2666_cast_fp16))[name = tensor<string, []>("op_2683_cast_fp16")];
            tensor<string, []> var_2685_equation_0 = const()[name = tensor<string, []>("op_2685_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2685_cast_fp16 = einsum(equation = var_2685_equation_0, values = (var_2601_cast_fp16_5, var_2667_cast_fp16))[name = tensor<string, []>("op_2685_cast_fp16")];
            tensor<string, []> var_2687_equation_0 = const()[name = tensor<string, []>("op_2687_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2687_cast_fp16 = einsum(equation = var_2687_equation_0, values = (var_2601_cast_fp16_6, var_2668_cast_fp16))[name = tensor<string, []>("op_2687_cast_fp16")];
            tensor<string, []> var_2689_equation_0 = const()[name = tensor<string, []>("op_2689_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2689_cast_fp16 = einsum(equation = var_2689_equation_0, values = (var_2601_cast_fp16_7, var_2669_cast_fp16))[name = tensor<string, []>("op_2689_cast_fp16")];
            tensor<string, []> var_2691_equation_0 = const()[name = tensor<string, []>("op_2691_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2691_cast_fp16 = einsum(equation = var_2691_equation_0, values = (var_2601_cast_fp16_8, var_2670_cast_fp16))[name = tensor<string, []>("op_2691_cast_fp16")];
            tensor<string, []> var_2693_equation_0 = const()[name = tensor<string, []>("op_2693_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2693_cast_fp16 = einsum(equation = var_2693_equation_0, values = (var_2601_cast_fp16_9, var_2671_cast_fp16))[name = tensor<string, []>("op_2693_cast_fp16")];
            tensor<string, []> var_2695_equation_0 = const()[name = tensor<string, []>("op_2695_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2695_cast_fp16 = einsum(equation = var_2695_equation_0, values = (var_2601_cast_fp16_10, var_2672_cast_fp16))[name = tensor<string, []>("op_2695_cast_fp16")];
            tensor<string, []> var_2697_equation_0 = const()[name = tensor<string, []>("op_2697_equation_0"), val = tensor<string, []>("bchk,bkhq->bchq")];
            tensor<fp16, [1, 64, 1, 1952]> var_2697_cast_fp16 = einsum(equation = var_2697_equation_0, values = (var_2601_cast_fp16_11, var_2673_cast_fp16))[name = tensor<string, []>("op_2697_cast_fp16")];
            tensor<bool, []> input_67_interleave_0 = const()[name = tensor<string, []>("input_67_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 768, 1, 1952]> input_67_cast_fp16 = concat(axis = var_15, interleave = input_67_interleave_0, values = (var_2675_cast_fp16, var_2677_cast_fp16, var_2679_cast_fp16, var_2681_cast_fp16, var_2683_cast_fp16, var_2685_cast_fp16, var_2687_cast_fp16, var_2689_cast_fp16, var_2691_cast_fp16, var_2693_cast_fp16, var_2695_cast_fp16, var_2697_cast_fp16))[name = tensor<string, []>("input_67_cast_fp16")];
            tensor<int32, [2]> var_2702 = const()[name = tensor<string, []>("op_2702"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2704 = const()[name = tensor<string, []>("op_2704"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2706_pad_type_0 = const()[name = tensor<string, []>("op_2706_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2706_pad_0 = const()[name = tensor<string, []>("op_2706_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_attn_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_attn_out_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67600320)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2706_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_attn_out_proj_bias_to_fp16, dilations = var_2704, groups = var_15, pad = var_2706_pad_0, pad_type = var_2706_pad_type_0, strides = var_2702, weight = vision_model_transformer_resblocks_11_attn_out_proj_weight_cast_fp16, x = input_67_cast_fp16)[name = tensor<string, []>("op_2706_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> inputs_51_cast_fp16 = add(x = inputs_49_cast_fp16, y = var_2706_cast_fp16)[name = tensor<string, []>("inputs_51_cast_fp16")];
            tensor<int32, [1]> out_49_axes_0 = const()[name = tensor<string, []>("out_49_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2716_to_fp16 = const()[name = tensor<string, []>("op_2716_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> out_49_cast_fp16 = layer_norm(axes = out_49_axes_0, epsilon = var_2716_to_fp16, x = inputs_51_cast_fp16)[name = tensor<string, []>("out_49_cast_fp16")];
            tensor<fp16, [768]> input_69_gamma_0_to_fp16 = const()[name = tensor<string, []>("input_69_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67601920)))];
            tensor<fp16, [768]> input_69_beta_0_to_fp16 = const()[name = tensor<string, []>("input_69_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67603520)))];
            tensor<fp16, []> input_69_epsilon_0_to_fp16 = const()[name = tensor<string, []>("input_69_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1952]> input_69_cast_fp16 = batch_norm(beta = input_69_beta_0_to_fp16, epsilon = input_69_epsilon_0_to_fp16, gamma = input_69_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_49_cast_fp16)[name = tensor<string, []>("input_69_cast_fp16")];
            tensor<int32, [2]> var_2730 = const()[name = tensor<string, []>("op_2730"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2732 = const()[name = tensor<string, []>("op_2732"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> x_37_pad_type_0 = const()[name = tensor<string, []>("x_37_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> x_37_pad_0 = const()[name = tensor<string, []>("x_37_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [3072]> vision_model_transformer_resblocks_11_mlp_c_fc_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_fc_bias_to_fp16"), val = tensor<fp16, [3072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67605120)))];
            tensor<fp16, [1, 3072, 1, 1952]> x_37_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_mlp_c_fc_bias_to_fp16, dilations = var_2732, groups = var_15, pad = x_37_pad_0, pad_type = x_37_pad_type_0, strides = var_2730, weight = vision_model_transformer_resblocks_11_mlp_c_fc_weight_cast_fp16, x = input_69_cast_fp16)[name = tensor<string, []>("x_37_cast_fp16")];
            tensor<fp16, []> var_2735_to_fp16 = const()[name = tensor<string, []>("op_2735_to_fp16"), val = tensor<fp16, []>(1.70214844)];
            tensor<fp16, [1, 3072, 1, 1952]> var_2736_cast_fp16 = mul(x = x_37_cast_fp16, y = var_2735_to_fp16)[name = tensor<string, []>("op_2736_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> var_2737_cast_fp16 = sigmoid(x = var_2736_cast_fp16)[name = tensor<string, []>("op_2737_cast_fp16")];
            tensor<fp16, [1, 3072, 1, 1952]> input_71_cast_fp16 = mul(x = x_37_cast_fp16, y = var_2737_cast_fp16)[name = tensor<string, []>("input_71_cast_fp16")];
            tensor<int32, [2]> var_2741 = const()[name = tensor<string, []>("op_2741"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [2]> var_2743 = const()[name = tensor<string, []>("op_2743"), val = tensor<int32, [2]>([1, 1])];
            tensor<string, []> var_2745_pad_type_0 = const()[name = tensor<string, []>("op_2745_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [4]> var_2745_pad_0 = const()[name = tensor<string, []>("op_2745_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<fp16, [768]> vision_model_transformer_resblocks_11_mlp_c_proj_bias_to_fp16 = const()[name = tensor<string, []>("vision_model_transformer_resblocks_11_mlp_c_proj_bias_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67611328)))];
            tensor<fp16, [1, 768, 1, 1952]> var_2745_cast_fp16 = conv(bias = vision_model_transformer_resblocks_11_mlp_c_proj_bias_to_fp16, dilations = var_2743, groups = var_15, pad = var_2745_pad_0, pad_type = var_2745_pad_type_0, strides = var_2741, weight = vision_model_transformer_resblocks_11_mlp_c_proj_weight_cast_fp16, x = input_71_cast_fp16)[name = tensor<string, []>("op_2745_cast_fp16")];
            tensor<fp16, [1, 768, 1, 1952]> x_39_cast_fp16 = add(x = inputs_51_cast_fp16, y = var_2745_cast_fp16)[name = tensor<string, []>("x_39_cast_fp16")];
            tensor<int32, [4]> var_2747 = const()[name = tensor<string, []>("op_2747"), val = tensor<int32, [4]>([1, 768, 16, -1])];
            tensor<fp16, [1, 768, 16, 122]> x_41_cast_fp16 = reshape(shape = var_2747, x = x_39_cast_fp16)[name = tensor<string, []>("x_41_cast_fp16")];
            tensor<int32, [4]> var_2749 = const()[name = tensor<string, []>("op_2749"), val = tensor<int32, [4]>([0, 2, 3, 1])];
            tensor<int32, [4]> x_begin_0 = const()[name = tensor<string, []>("x_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> x_end_0 = const()[name = tensor<string, []>("x_end_0"), val = tensor<int32, [4]>([1, 768, 16, 1])];
            tensor<bool, [4]> x_end_mask_0 = const()[name = tensor<string, []>("x_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
            tensor<fp16, [1, 768, 16, 1]> x_cast_fp16 = slice_by_index(begin = x_begin_0, end = x_end_0, end_mask = x_end_mask_0, x = x_41_cast_fp16)[name = tensor<string, []>("x_cast_fp16")];
            tensor<int32, [1]> reduce_max_0_axes_0 = const()[name = tensor<string, []>("reduce_max_0_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<bool, []> reduce_max_0_keep_dims_0 = const()[name = tensor<string, []>("reduce_max_0_keep_dims_0"), val = tensor<bool, []>(true)];
            tensor<fp16, [1, 768, 1, 1]> reduce_max_0_cast_fp16 = reduce_max(axes = reduce_max_0_axes_0, keep_dims = reduce_max_0_keep_dims_0, x = x_cast_fp16)[name = tensor<string, []>("reduce_max_0_cast_fp16")];
            tensor<int32, [1]> out_axes_0 = const()[name = tensor<string, []>("out_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, []> var_2765_to_fp16 = const()[name = tensor<string, []>("op_2765_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1]> out_cast_fp16 = layer_norm(axes = out_axes_0, epsilon = var_2765_to_fp16, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("out_cast_fp16")];
            tensor<fp16, [768]> var_2774_gamma_0_to_fp16 = const()[name = tensor<string, []>("op_2774_gamma_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67612928)))];
            tensor<fp16, [768]> var_2774_beta_0_to_fp16 = const()[name = tensor<string, []>("op_2774_beta_0_to_fp16"), val = tensor<fp16, [768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67614528)))];
            tensor<fp16, []> var_2774_epsilon_0_to_fp16 = const()[name = tensor<string, []>("op_2774_epsilon_0_to_fp16"), val = tensor<fp16, []>(1.00135803e-05)];
            tensor<fp16, [1, 768, 1, 1]> var_2774_cast_fp16 = batch_norm(beta = var_2774_beta_0_to_fp16, epsilon = var_2774_epsilon_0_to_fp16, gamma = var_2774_gamma_0_to_fp16, mean = inputs_5_mean_0_to_fp16, variance = inputs_5_variance_0_to_fp16, x = out_cast_fp16)[name = tensor<string, []>("op_2774_cast_fp16")];
            tensor<int32, [4]> var_2777_begin_0 = const()[name = tensor<string, []>("op_2777_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> var_2777_end_0 = const()[name = tensor<string, []>("op_2777_end_0"), val = tensor<int32, [4]>([1, 768, 1, 1])];
            tensor<bool, [4]> var_2777_end_mask_0 = const()[name = tensor<string, []>("op_2777_end_mask_0"), val = tensor<bool, [4]>([true, true, false, true])];
            tensor<bool, [4]> var_2777_squeeze_mask_0 = const()[name = tensor<string, []>("op_2777_squeeze_mask_0"), val = tensor<bool, [4]>([false, false, true, false])];
            tensor<fp16, [1, 768, 1]> var_2777_cast_fp16 = slice_by_index(begin = var_2777_begin_0, end = var_2777_end_0, end_mask = var_2777_end_mask_0, squeeze_mask = var_2777_squeeze_mask_0, x = var_2774_cast_fp16)[name = tensor<string, []>("op_2777_cast_fp16")];
            tensor<int32, [3]> input_73_begin_0 = const()[name = tensor<string, []>("input_73_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> input_73_end_0 = const()[name = tensor<string, []>("input_73_end_0"), val = tensor<int32, [3]>([1, 768, 1])];
            tensor<bool, [3]> input_73_end_mask_0 = const()[name = tensor<string, []>("input_73_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<bool, [3]> input_73_squeeze_mask_0 = const()[name = tensor<string, []>("input_73_squeeze_mask_0"), val = tensor<bool, [3]>([false, false, true])];
            tensor<fp16, [1, 768]> hidden_embed = slice_by_index(begin = input_73_begin_0, end = input_73_end_0, end_mask = input_73_end_mask_0, squeeze_mask = input_73_squeeze_mask_0, x = var_2777_cast_fp16)[name = tensor<string, []>("input_73_cast_fp16")];
            tensor<fp16, [512]> linear_0_bias_0_to_fp16 = const()[name = tensor<string, []>("linear_0_bias_0_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(67616128)))];
            tensor<fp16, [1, 512]> linear_0_cast_fp16 = linear(bias = linear_0_bias_0_to_fp16, weight = vision_proj_0_weight_cast_fp16, x = hidden_embed)[name = tensor<string, []>("linear_0_cast_fp16")];
            tensor<int32, [1]> var_2788 = const()[name = tensor<string, []>("op_2788"), val = tensor<int32, [1]>([-1])];
            tensor<bool, []> var_2789 = const()[name = tensor<string, []>("op_2789"), val = tensor<bool, []>(true)];
            tensor<fp16, [1, 1]> var_2791_cast_fp16 = reduce_l2_norm(axes = var_2788, keep_dims = var_2789, x = linear_0_cast_fp16)[name = tensor<string, []>("op_2791_cast_fp16")];
            tensor<fp16, [1, 512]> vision_embed = real_div(x = linear_0_cast_fp16, y = var_2791_cast_fp16)[name = tensor<string, []>("op_2792_cast_fp16")];
            tensor<fp16, [1, 16, 122, 768]> spatial_embed = transpose(perm = var_2749, x = x_41_cast_fp16)[name = tensor<string, []>("transpose_0")];
        } -> (spatial_embed, hidden_embed, vision_embed);
}