program(1.3) [buildInfo = dict({{"coremlc-component-MIL", "3404.14.1"}, {"coremlc-version", "3404.19.1"}, {"coremltools-component-torch", "2.1.2"}, {"coremltools-version", "7.2"}}), mldb_token = string("mldb-lqgweemg9p")] { func main(tensor audio, tensor cast_244_in_state, tensor input1_3_cast_fp16_in_state, tensor input_107_cast_fp16_in_state, tensor input_117_cast_fp16_in_state, tensor input_127_cast_fp16_in_state, tensor input_137_cast_fp16_in_state, tensor input_13_cast_fp16_concat_in_state, tensor input_147_cast_fp16_in_state, tensor input_157_cast_fp16_in_state, tensor input_167_cast_fp16_in_state, tensor input_177_cast_fp16_in_state, tensor input_17_cast_fp16_in_state, tensor input_187_cast_fp16_in_state, tensor input_197_cast_fp16_in_state, tensor input_207_cast_fp16_in_state, tensor input_217_cast_fp16_in_state, tensor input_227_cast_fp16_in_state, tensor input_237_cast_fp16_in_state, tensor input_23_cast_fp16_concat_in_state, tensor input_247_cast_fp16_in_state, tensor input_257_cast_fp16_in_state, tensor input_267_cast_fp16_in_state, tensor input_277_cast_fp16_in_state, tensor input_27_cast_fp16_in_state, tensor input_287_cast_fp16_in_state, tensor input_297_cast_fp16_in_state, tensor input_307_cast_fp16_in_state, tensor input_317_cast_fp16_in_state, tensor input_327_cast_fp16_in_state, tensor input_337_cast_fp16_in_state, tensor input_347_cast_fp16_in_state, tensor input_357_cast_fp16_in_state, tensor input_367_cast_fp16_in_state, tensor input_377_cast_fp16_in_state, tensor input_37_cast_fp16_in_state, tensor input_387_cast_fp16_in_state, tensor input_397_cast_fp16_in_state, tensor input_407_cast_fp16_in_state, tensor input_417_cast_fp16_in_state, tensor input_427_cast_fp16_in_state, tensor input_437_cast_fp16_in_state, tensor input_447_cast_fp16_in_state, tensor input_457_cast_fp16_in_state, tensor input_467_cast_fp16_in_state, tensor input_477_cast_fp16_in_state, tensor input_47_cast_fp16_in_state, tensor input_487_cast_fp16_in_state, tensor input_497_cast_fp16_in_state, tensor input_4_cast_fp16_in_state, tensor input_507_cast_fp16_in_state, tensor input_517_cast_fp16_in_state, tensor input_527_cast_fp16_in_state, tensor input_537_cast_fp16_in_state, tensor input_547_cast_fp16_in_state, tensor input_557_cast_fp16_in_state, tensor input_567_cast_fp16_in_state, tensor input_577_cast_fp16_in_state, tensor input_57_cast_fp16_in_state, tensor input_587_cast_fp16_in_state, tensor input_597_cast_fp16_concat_in_state, tensor input_67_cast_fp16_in_state, tensor input_77_cast_fp16_in_state, tensor input_7_cast_fp16_in_state, tensor input_87_cast_fp16_in_state, tensor input_97_cast_fp16_in_state, tensor var_3626_cast_fp16_concat_in_state) [FlexibleShapeInformation = tuple>>, tuple, ?>>>>((("DefaultShapes", {{"audio", [1, 2, 480]}}), ("RangeDims", {{"audio", [[1, 1], [2, 2], [480, 480]]}}))), UserMetadata = dict({{"iteration", "3496760"}, {"taskid", "vh2i2s97ic"}})] { int32 var_17 = const()[name = string("op_17"), val = int32(1)]; tensor var_21 = const()[name = string("op_21"), val = tensor([40])]; tensor var_23 = const()[name = string("op_23"), val = tensor([1])]; string input0_1_pad_type_0 = const()[name = string("input0_1_pad_type_0"), val = string("custom")]; tensor input0_1_pad_0 = const()[name = string("input0_1_pad_0"), val = tensor([40, 40])]; string audio_to_fp16_dtype_0 = const()[name = string("audio_to_fp16_dtype_0"), val = string("fp16")]; tensor front_end_0_weight_to_fp16 = const()[name = string("front_end_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(64)))]; tensor cast_244 = cast(dtype = audio_to_fp16_dtype_0, x = audio)[name = string("cast_244")]; tensor cast_244_expanded = concat(axis = int32(-1), interleave = bool(false), values = (cast_244_in_state, cast_244)); tensor cast_244_out_state = slice_by_size(begin = tensor([0, 0, -40]), size = tensor([1, 2, 40]), x = cast_244_expanded); tensor input0_1_cast_fp16 = conv(dilations = var_23, groups = var_17, pad = tensor([0, 0]), pad_type = input0_1_pad_type_0, strides = var_21, weight = front_end_0_weight_to_fp16, x = cast_244_expanded); tensor var_26_cast_fp16 = relu(x = input0_1_cast_fp16)[name = string("op_26_cast_fp16")]; bool var_29 = const()[name = string("op_29"), val = bool(true)]; tensor var_34 = const()[name = string("op_34"), val = tensor([1])]; tensor mean_y_4_cast_fp16 = reduce_mean(axes = var_34, keep_dims = var_29, x = var_26_cast_fp16)[name = string("mean_y_4_cast_fp16")]; tensor var_36_cast_fp16 = sub(x = var_26_cast_fp16, y = mean_y_4_cast_fp16)[name = string("op_36_cast_fp16")]; tensor var_37_cast_fp16 = square(x = var_36_cast_fp16); tensor var_38 = const()[name = string("op_38"), val = tensor([1])]; tensor var_39_cast_fp16 = reduce_mean(axes = var_38, keep_dims = var_29, x = var_37_cast_fp16)[name = string("op_39_cast_fp16")]; fp16 var_40_to_fp16 = const()[name = string("op_40_to_fp16"), val = fp16(0x1p-14)]; tensor var_41_cast_fp16 = add(x = var_39_cast_fp16, y = var_40_to_fp16)[name = string("op_41_cast_fp16")]; tensor std_y_4_cast_fp16 = sqrt(x = var_41_cast_fp16)[name = string("std_y_4_cast_fp16")]; tensor front_norm_norm_gamma_to_fp16 = const()[name = string("front_norm_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(82048)))]; tensor var_44_cast_fp16 = mul(x = front_norm_norm_gamma_to_fp16, y = var_36_cast_fp16)[name = string("op_44_cast_fp16")]; tensor var_45_cast_fp16 = real_div(x = var_44_cast_fp16, y = std_y_4_cast_fp16)[name = string("op_45_cast_fp16")]; tensor front_norm_norm_beta_to_fp16 = const()[name = string("front_norm_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(82624)))]; tensor input_593_cast_fp16 = add(x = var_45_cast_fp16, y = front_norm_norm_beta_to_fp16)[name = string("input_593_cast_fp16")]; int32 var_48 = const()[name = string("op_48"), val = int32(1)]; tensor var_53 = const()[name = string("op_53"), val = tensor([1])]; tensor var_55 = const()[name = string("op_55"), val = tensor([1])]; string input_597_pad_type_0 = const()[name = string("input_597_pad_type_0"), val = string("custom")]; tensor input_597_pad_0 = const()[name = string("input_597_pad_0"), val = tensor([0, 0])]; tensor to_latent_weight_to_fp16 = const()[name = string("to_latent_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(83200)))]; tensor input_597_cast_fp16 = conv(dilations = var_55, groups = var_48, pad = input_597_pad_0, pad_type = input_597_pad_type_0, strides = var_53, weight = to_latent_weight_to_fp16, x = input_593_cast_fp16)[name = string("input_597_cast_fp16")]; int32 var_64 = const()[name = string("op_64"), val = int32(1)]; int32 var_65 = const()[name = string("op_65"), val = int32(128)]; bool var_68 = const()[name = string("op_68"), val = bool(true)]; tensor var_140 = const()[name = string("op_140"), val = tensor([1])]; tensor var_142 = const()[name = string("op_142"), val = tensor([1])]; string input_5_pad_type_0 = const()[name = string("input_5_pad_type_0"), val = string("custom")]; tensor input_5_pad_0 = const()[name = string("input_5_pad_0"), val = tensor([0, 0])]; tensor sep_module_0_tcn_0_weight_to_fp16 = const()[name = string("sep_module_0_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(148800)))]; tensor input_5_cast_fp16 = conv(dilations = var_142, groups = var_64, pad = input_5_pad_0, pad_type = input_5_pad_type_0, strides = var_140, weight = sep_module_0_tcn_0_weight_to_fp16, x = input_597_cast_fp16)[name = string("input_5_cast_fp16")]; fp32 var_146_alpha_1 = const()[name = string("op_146_alpha_1"), val = fp32(0x1.b816dp-2)]; tensor var_146_cast_fp16 = leaky_relu(alpha = var_146_alpha_1, x = input_5_cast_fp16)[name = string("op_146_cast_fp16")]; tensor var_150 = const()[name = string("op_150"), val = tensor([1])]; tensor mean_y_3_cast_fp16 = reduce_mean(axes = var_150, keep_dims = var_68, x = var_146_cast_fp16)[name = string("mean_y_3_cast_fp16")]; tensor var_152_cast_fp16 = sub(x = var_146_cast_fp16, y = mean_y_3_cast_fp16)[name = string("op_152_cast_fp16")]; tensor var_153_cast_fp16 = square(x = var_152_cast_fp16); tensor var_154 = const()[name = string("op_154"), val = tensor([1])]; tensor var_155_cast_fp16 = reduce_mean(axes = var_154, keep_dims = var_68, x = var_153_cast_fp16)[name = string("op_155_cast_fp16")]; fp16 var_156_to_fp16 = const()[name = string("op_156_to_fp16"), val = fp16(0x1p-14)]; tensor var_157_cast_fp16 = add(x = var_155_cast_fp16, y = var_156_to_fp16)[name = string("op_157_cast_fp16")]; tensor std_y_3_cast_fp16 = sqrt(x = var_157_cast_fp16)[name = string("std_y_3_cast_fp16")]; tensor sep_module_0_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_0_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(181632)))]; tensor var_160_cast_fp16 = mul(x = sep_module_0_tcn_2_norm_gamma_to_fp16, y = var_152_cast_fp16)[name = string("op_160_cast_fp16")]; tensor var_161_cast_fp16 = real_div(x = var_160_cast_fp16, y = std_y_3_cast_fp16)[name = string("op_161_cast_fp16")]; tensor sep_module_0_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_0_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(181952)))]; tensor input_7_cast_fp16 = add(x = var_161_cast_fp16, y = sep_module_0_tcn_2_norm_beta_to_fp16)[name = string("input_7_cast_fp16")]; tensor input_9_pad_0 = const()[name = string("input_9_pad_0"), val = tensor([0, 0, 0, 0, 1, 1])]; string input_9_mode_0 = const()[name = string("input_9_mode_0"), val = string("constant")]; fp16 const_0_to_fp16 = const()[name = string("const_0_to_fp16"), val = fp16(0x0p+0)]; tensor input_9_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_7_cast_fp16_in_state, input_7_cast_fp16)); tensor input_7_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_9_cast_fp16); tensor var_166 = const()[name = string("op_166"), val = tensor([1])]; tensor var_168 = const()[name = string("op_168"), val = tensor([1])]; string input_11_pad_type_0 = const()[name = string("input_11_pad_type_0"), val = string("custom")]; tensor input_11_pad_0 = const()[name = string("input_11_pad_0"), val = tensor([0, 0])]; tensor sep_module_0_tcn_4_weight_to_fp16 = const()[name = string("sep_module_0_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(182272)))]; tensor input_11_cast_fp16 = conv(dilations = var_168, groups = var_65, pad = input_11_pad_0, pad_type = input_11_pad_type_0, strides = var_166, weight = sep_module_0_tcn_4_weight_to_fp16, x = input_9_cast_fp16)[name = string("input_11_cast_fp16")]; fp32 var_172_alpha_1 = const()[name = string("op_172_alpha_1"), val = fp32(-0x1.05d43ap-2)]; tensor var_172_cast_fp16 = leaky_relu(alpha = var_172_alpha_1, x = input_11_cast_fp16)[name = string("op_172_cast_fp16")]; tensor var_176 = const()[name = string("op_176"), val = tensor([1])]; tensor mean_y_5_cast_fp16 = reduce_mean(axes = var_176, keep_dims = var_68, x = var_172_cast_fp16)[name = string("mean_y_5_cast_fp16")]; tensor var_178_cast_fp16 = sub(x = var_172_cast_fp16, y = mean_y_5_cast_fp16)[name = string("op_178_cast_fp16")]; tensor var_179_cast_fp16 = square(x = var_178_cast_fp16); tensor var_180 = const()[name = string("op_180"), val = tensor([1])]; tensor var_181_cast_fp16 = reduce_mean(axes = var_180, keep_dims = var_68, x = var_179_cast_fp16)[name = string("op_181_cast_fp16")]; fp16 var_182_to_fp16 = const()[name = string("op_182_to_fp16"), val = fp16(0x1p-14)]; tensor var_183_cast_fp16 = add(x = var_181_cast_fp16, y = var_182_to_fp16)[name = string("op_183_cast_fp16")]; tensor std_y_5_cast_fp16 = sqrt(x = var_183_cast_fp16)[name = string("std_y_5_cast_fp16")]; tensor sep_module_0_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_0_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(183104)))]; tensor var_186_cast_fp16 = mul(x = sep_module_0_tcn_6_norm_gamma_to_fp16, y = var_178_cast_fp16)[name = string("op_186_cast_fp16")]; tensor var_187_cast_fp16 = real_div(x = var_186_cast_fp16, y = std_y_5_cast_fp16)[name = string("op_187_cast_fp16")]; tensor sep_module_0_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_0_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(183424)))]; tensor y_2_cast_fp16 = add(x = var_187_cast_fp16, y = sep_module_0_tcn_6_norm_beta_to_fp16)[name = string("y_2_cast_fp16")]; tensor input_597_cast_fp16_concat_expanded = concat(axis = int32(-1), interleave = bool(false), values = (input_597_cast_fp16_concat_in_state, input_597_cast_fp16)); tensor input_597_cast_fp16_delayed = slice_by_size(begin = tensor([0, 0, 0]), size = tensor([1, 128, 12]), x = input_597_cast_fp16_concat_expanded); tensor input_597_cast_fp16_concat_out_state = slice_by_size(begin = tensor([0, 0, -1]), size = tensor([1, 128, 1]), x = input_597_cast_fp16_concat_expanded); tensor input_13_cast_fp16 = add(x = input_597_cast_fp16_delayed, y = y_2_cast_fp16)[name = string("input_13_cast_fp16")]; tensor var_198 = const()[name = string("op_198"), val = tensor([1])]; tensor var_200 = const()[name = string("op_200"), val = tensor([1])]; string input_15_pad_type_0 = const()[name = string("input_15_pad_type_0"), val = string("custom")]; tensor input_15_pad_0 = const()[name = string("input_15_pad_0"), val = tensor([0, 0])]; tensor sep_module_1_tcn_0_weight_to_fp16 = const()[name = string("sep_module_1_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(183744)))]; tensor input_15_cast_fp16 = conv(dilations = var_200, groups = var_64, pad = input_15_pad_0, pad_type = input_15_pad_type_0, strides = var_198, weight = sep_module_1_tcn_0_weight_to_fp16, x = input_13_cast_fp16)[name = string("input_15_cast_fp16")]; fp32 var_204_alpha_1 = const()[name = string("op_204_alpha_1"), val = fp32(0x1.a3e3c4p-2)]; tensor var_204_cast_fp16 = leaky_relu(alpha = var_204_alpha_1, x = input_15_cast_fp16)[name = string("op_204_cast_fp16")]; tensor var_208 = const()[name = string("op_208"), val = tensor([1])]; tensor mean_y_7_cast_fp16 = reduce_mean(axes = var_208, keep_dims = var_68, x = var_204_cast_fp16)[name = string("mean_y_7_cast_fp16")]; tensor var_210_cast_fp16 = sub(x = var_204_cast_fp16, y = mean_y_7_cast_fp16)[name = string("op_210_cast_fp16")]; tensor var_211_cast_fp16 = square(x = var_210_cast_fp16); tensor var_212 = const()[name = string("op_212"), val = tensor([1])]; tensor var_213_cast_fp16 = reduce_mean(axes = var_212, keep_dims = var_68, x = var_211_cast_fp16)[name = string("op_213_cast_fp16")]; fp16 var_214_to_fp16 = const()[name = string("op_214_to_fp16"), val = fp16(0x1p-14)]; tensor var_215_cast_fp16 = add(x = var_213_cast_fp16, y = var_214_to_fp16)[name = string("op_215_cast_fp16")]; tensor std_y_7_cast_fp16 = sqrt(x = var_215_cast_fp16)[name = string("std_y_7_cast_fp16")]; tensor sep_module_1_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_1_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(216576)))]; tensor var_218_cast_fp16 = mul(x = sep_module_1_tcn_2_norm_gamma_to_fp16, y = var_210_cast_fp16)[name = string("op_218_cast_fp16")]; tensor var_219_cast_fp16 = real_div(x = var_218_cast_fp16, y = std_y_7_cast_fp16)[name = string("op_219_cast_fp16")]; tensor sep_module_1_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_1_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(216896)))]; tensor input_17_cast_fp16 = add(x = var_219_cast_fp16, y = sep_module_1_tcn_2_norm_beta_to_fp16)[name = string("input_17_cast_fp16")]; tensor input_19_pad_0 = const()[name = string("input_19_pad_0"), val = tensor([0, 0, 0, 0, 2, 2])]; string input_19_mode_0 = const()[name = string("input_19_mode_0"), val = string("constant")]; fp16 const_1_to_fp16 = const()[name = string("const_1_to_fp16"), val = fp16(0x0p+0)]; tensor input_19_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_17_cast_fp16_in_state, input_17_cast_fp16)); tensor input_17_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_19_cast_fp16); tensor var_224 = const()[name = string("op_224"), val = tensor([1])]; tensor var_226 = const()[name = string("op_226"), val = tensor([2])]; string input_21_pad_type_0 = const()[name = string("input_21_pad_type_0"), val = string("custom")]; tensor input_21_pad_0 = const()[name = string("input_21_pad_0"), val = tensor([0, 0])]; tensor sep_module_1_tcn_4_weight_to_fp16 = const()[name = string("sep_module_1_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(217216)))]; tensor input_21_cast_fp16 = conv(dilations = var_226, groups = var_65, pad = input_21_pad_0, pad_type = input_21_pad_type_0, strides = var_224, weight = sep_module_1_tcn_4_weight_to_fp16, x = input_19_cast_fp16)[name = string("input_21_cast_fp16")]; fp32 var_230_alpha_1 = const()[name = string("op_230_alpha_1"), val = fp32(0x1.02ce0ap-6)]; tensor var_230_cast_fp16 = leaky_relu(alpha = var_230_alpha_1, x = input_21_cast_fp16)[name = string("op_230_cast_fp16")]; tensor var_234 = const()[name = string("op_234"), val = tensor([1])]; tensor mean_y_9_cast_fp16 = reduce_mean(axes = var_234, keep_dims = var_68, x = var_230_cast_fp16)[name = string("mean_y_9_cast_fp16")]; tensor var_236_cast_fp16 = sub(x = var_230_cast_fp16, y = mean_y_9_cast_fp16)[name = string("op_236_cast_fp16")]; tensor var_237_cast_fp16 = square(x = var_236_cast_fp16); tensor var_238 = const()[name = string("op_238"), val = tensor([1])]; tensor var_239_cast_fp16 = reduce_mean(axes = var_238, keep_dims = var_68, x = var_237_cast_fp16)[name = string("op_239_cast_fp16")]; fp16 var_240_to_fp16 = const()[name = string("op_240_to_fp16"), val = fp16(0x1p-14)]; tensor var_241_cast_fp16 = add(x = var_239_cast_fp16, y = var_240_to_fp16)[name = string("op_241_cast_fp16")]; tensor std_y_9_cast_fp16 = sqrt(x = var_241_cast_fp16)[name = string("std_y_9_cast_fp16")]; tensor sep_module_1_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_1_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(218048)))]; tensor var_244_cast_fp16 = mul(x = sep_module_1_tcn_6_norm_gamma_to_fp16, y = var_236_cast_fp16)[name = string("op_244_cast_fp16")]; tensor var_245_cast_fp16 = real_div(x = var_244_cast_fp16, y = std_y_9_cast_fp16)[name = string("op_245_cast_fp16")]; tensor sep_module_1_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_1_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(218368)))]; tensor y_4_cast_fp16 = add(x = var_245_cast_fp16, y = sep_module_1_tcn_6_norm_beta_to_fp16)[name = string("y_4_cast_fp16")]; tensor input_13_cast_fp16_concat_expanded = concat(axis = int32(-1), interleave = bool(false), values = (input_13_cast_fp16_concat_in_state, input_13_cast_fp16)); tensor input_13_cast_fp16_delayed = slice_by_size(begin = tensor([0, 0, 0]), size = tensor([1, 128, 12]), x = input_13_cast_fp16_concat_expanded); tensor input_13_cast_fp16_concat_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_13_cast_fp16_concat_expanded); tensor input_23_cast_fp16 = add(x = input_13_cast_fp16_delayed, y = y_4_cast_fp16)[name = string("input_23_cast_fp16")]; tensor var_256 = const()[name = string("op_256"), val = tensor([1])]; tensor var_258 = const()[name = string("op_258"), val = tensor([1])]; string input_25_pad_type_0 = const()[name = string("input_25_pad_type_0"), val = string("custom")]; tensor input_25_pad_0 = const()[name = string("input_25_pad_0"), val = tensor([0, 0])]; tensor sep_module_2_tcn_0_weight_to_fp16 = const()[name = string("sep_module_2_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(218688)))]; tensor input_25_cast_fp16 = conv(dilations = var_258, groups = var_64, pad = input_25_pad_0, pad_type = input_25_pad_type_0, strides = var_256, weight = sep_module_2_tcn_0_weight_to_fp16, x = input_23_cast_fp16)[name = string("input_25_cast_fp16")]; fp32 var_262_alpha_1 = const()[name = string("op_262_alpha_1"), val = fp32(0x1.b912fp-1)]; tensor var_262_cast_fp16 = leaky_relu(alpha = var_262_alpha_1, x = input_25_cast_fp16)[name = string("op_262_cast_fp16")]; tensor var_266 = const()[name = string("op_266"), val = tensor([1])]; tensor mean_y_11_cast_fp16 = reduce_mean(axes = var_266, keep_dims = var_68, x = var_262_cast_fp16)[name = string("mean_y_11_cast_fp16")]; tensor var_268_cast_fp16 = sub(x = var_262_cast_fp16, y = mean_y_11_cast_fp16)[name = string("op_268_cast_fp16")]; tensor var_269_cast_fp16 = square(x = var_268_cast_fp16); tensor var_270 = const()[name = string("op_270"), val = tensor([1])]; tensor var_271_cast_fp16 = reduce_mean(axes = var_270, keep_dims = var_68, x = var_269_cast_fp16)[name = string("op_271_cast_fp16")]; fp16 var_272_to_fp16 = const()[name = string("op_272_to_fp16"), val = fp16(0x1p-14)]; tensor var_273_cast_fp16 = add(x = var_271_cast_fp16, y = var_272_to_fp16)[name = string("op_273_cast_fp16")]; tensor std_y_11_cast_fp16 = sqrt(x = var_273_cast_fp16)[name = string("std_y_11_cast_fp16")]; tensor sep_module_2_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_2_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(251520)))]; tensor var_276_cast_fp16 = mul(x = sep_module_2_tcn_2_norm_gamma_to_fp16, y = var_268_cast_fp16)[name = string("op_276_cast_fp16")]; tensor var_277_cast_fp16 = real_div(x = var_276_cast_fp16, y = std_y_11_cast_fp16)[name = string("op_277_cast_fp16")]; tensor sep_module_2_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_2_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(251840)))]; tensor input_27_cast_fp16 = add(x = var_277_cast_fp16, y = sep_module_2_tcn_2_norm_beta_to_fp16)[name = string("input_27_cast_fp16")]; tensor input_29_pad_0 = const()[name = string("input_29_pad_0"), val = tensor([0, 0, 0, 0, 4, 4])]; string input_29_mode_0 = const()[name = string("input_29_mode_0"), val = string("constant")]; fp16 const_2_to_fp16 = const()[name = string("const_2_to_fp16"), val = fp16(0x0p+0)]; tensor input_29_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_27_cast_fp16_in_state, input_27_cast_fp16)); tensor input_27_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_29_cast_fp16); tensor var_282 = const()[name = string("op_282"), val = tensor([1])]; tensor var_284 = const()[name = string("op_284"), val = tensor([4])]; string input_31_pad_type_0 = const()[name = string("input_31_pad_type_0"), val = string("custom")]; tensor input_31_pad_0 = const()[name = string("input_31_pad_0"), val = tensor([0, 0])]; tensor sep_module_2_tcn_4_weight_to_fp16 = const()[name = string("sep_module_2_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(252160)))]; tensor input_31_cast_fp16 = conv(dilations = var_284, groups = var_65, pad = input_31_pad_0, pad_type = input_31_pad_type_0, strides = var_282, weight = sep_module_2_tcn_4_weight_to_fp16, x = input_29_cast_fp16)[name = string("input_31_cast_fp16")]; fp32 var_288_alpha_1 = const()[name = string("op_288_alpha_1"), val = fp32(0x1.a72c52p-1)]; tensor var_288_cast_fp16 = leaky_relu(alpha = var_288_alpha_1, x = input_31_cast_fp16)[name = string("op_288_cast_fp16")]; tensor var_292 = const()[name = string("op_292"), val = tensor([1])]; tensor mean_y_13_cast_fp16 = reduce_mean(axes = var_292, keep_dims = var_68, x = var_288_cast_fp16)[name = string("mean_y_13_cast_fp16")]; tensor var_294_cast_fp16 = sub(x = var_288_cast_fp16, y = mean_y_13_cast_fp16)[name = string("op_294_cast_fp16")]; tensor var_295_cast_fp16 = square(x = var_294_cast_fp16); tensor var_296 = const()[name = string("op_296"), val = tensor([1])]; tensor var_297_cast_fp16 = reduce_mean(axes = var_296, keep_dims = var_68, x = var_295_cast_fp16)[name = string("op_297_cast_fp16")]; fp16 var_298_to_fp16 = const()[name = string("op_298_to_fp16"), val = fp16(0x1p-14)]; tensor var_299_cast_fp16 = add(x = var_297_cast_fp16, y = var_298_to_fp16)[name = string("op_299_cast_fp16")]; tensor std_y_13_cast_fp16 = sqrt(x = var_299_cast_fp16)[name = string("std_y_13_cast_fp16")]; tensor sep_module_2_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_2_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(252992)))]; tensor var_302_cast_fp16 = mul(x = sep_module_2_tcn_6_norm_gamma_to_fp16, y = var_294_cast_fp16)[name = string("op_302_cast_fp16")]; tensor var_303_cast_fp16 = real_div(x = var_302_cast_fp16, y = std_y_13_cast_fp16)[name = string("op_303_cast_fp16")]; tensor sep_module_2_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_2_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(253312)))]; tensor y_6_cast_fp16 = add(x = var_303_cast_fp16, y = sep_module_2_tcn_6_norm_beta_to_fp16)[name = string("y_6_cast_fp16")]; tensor input_23_cast_fp16_concat_expanded = concat(axis = int32(-1), interleave = bool(false), values = (input_23_cast_fp16_concat_in_state, input_23_cast_fp16)); tensor input_23_cast_fp16_delayed = slice_by_size(begin = tensor([0, 0, 0]), size = tensor([1, 128, 12]), x = input_23_cast_fp16_concat_expanded); tensor input_23_cast_fp16_concat_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_23_cast_fp16_concat_expanded); tensor input_33_cast_fp16 = add(x = input_23_cast_fp16_delayed, y = y_6_cast_fp16)[name = string("input_33_cast_fp16")]; tensor var_314 = const()[name = string("op_314"), val = tensor([1])]; tensor var_316 = const()[name = string("op_316"), val = tensor([1])]; string input_35_pad_type_0 = const()[name = string("input_35_pad_type_0"), val = string("custom")]; tensor input_35_pad_0 = const()[name = string("input_35_pad_0"), val = tensor([0, 0])]; tensor sep_module_3_tcn_0_weight_to_fp16 = const()[name = string("sep_module_3_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(253632)))]; tensor input_35_cast_fp16 = conv(dilations = var_316, groups = var_64, pad = input_35_pad_0, pad_type = input_35_pad_type_0, strides = var_314, weight = sep_module_3_tcn_0_weight_to_fp16, x = input_33_cast_fp16)[name = string("input_35_cast_fp16")]; fp32 var_320_alpha_1 = const()[name = string("op_320_alpha_1"), val = fp32(0x1.0fd79ep-1)]; tensor var_320_cast_fp16 = leaky_relu(alpha = var_320_alpha_1, x = input_35_cast_fp16)[name = string("op_320_cast_fp16")]; tensor var_324 = const()[name = string("op_324"), val = tensor([1])]; tensor mean_y_15_cast_fp16 = reduce_mean(axes = var_324, keep_dims = var_68, x = var_320_cast_fp16)[name = string("mean_y_15_cast_fp16")]; tensor var_326_cast_fp16 = sub(x = var_320_cast_fp16, y = mean_y_15_cast_fp16)[name = string("op_326_cast_fp16")]; tensor var_327_cast_fp16 = square(x = var_326_cast_fp16); tensor var_328 = const()[name = string("op_328"), val = tensor([1])]; tensor var_329_cast_fp16 = reduce_mean(axes = var_328, keep_dims = var_68, x = var_327_cast_fp16)[name = string("op_329_cast_fp16")]; fp16 var_330_to_fp16 = const()[name = string("op_330_to_fp16"), val = fp16(0x1p-14)]; tensor var_331_cast_fp16 = add(x = var_329_cast_fp16, y = var_330_to_fp16)[name = string("op_331_cast_fp16")]; tensor std_y_15_cast_fp16 = sqrt(x = var_331_cast_fp16)[name = string("std_y_15_cast_fp16")]; tensor sep_module_3_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_3_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(286464)))]; tensor var_334_cast_fp16 = mul(x = sep_module_3_tcn_2_norm_gamma_to_fp16, y = var_326_cast_fp16)[name = string("op_334_cast_fp16")]; tensor var_335_cast_fp16 = real_div(x = var_334_cast_fp16, y = std_y_15_cast_fp16)[name = string("op_335_cast_fp16")]; tensor sep_module_3_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_3_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(286784)))]; tensor input_37_cast_fp16 = add(x = var_335_cast_fp16, y = sep_module_3_tcn_2_norm_beta_to_fp16)[name = string("input_37_cast_fp16")]; tensor input_39_pad_0 = const()[name = string("input_39_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_39_mode_0 = const()[name = string("input_39_mode_0"), val = string("constant")]; fp16 const_3_to_fp16 = const()[name = string("const_3_to_fp16"), val = fp16(0x0p+0)]; tensor input_39_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_37_cast_fp16_in_state, input_37_cast_fp16)); tensor input_37_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_39_cast_fp16); tensor var_340 = const()[name = string("op_340"), val = tensor([1])]; tensor var_342 = const()[name = string("op_342"), val = tensor([8])]; string input_41_pad_type_0 = const()[name = string("input_41_pad_type_0"), val = string("custom")]; tensor input_41_pad_0 = const()[name = string("input_41_pad_0"), val = tensor([0, 0])]; tensor sep_module_3_tcn_4_weight_to_fp16 = const()[name = string("sep_module_3_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(287104)))]; tensor input_41_cast_fp16 = conv(dilations = var_342, groups = var_65, pad = input_41_pad_0, pad_type = input_41_pad_type_0, strides = var_340, weight = sep_module_3_tcn_4_weight_to_fp16, x = input_39_cast_fp16)[name = string("input_41_cast_fp16")]; fp32 var_346_alpha_1 = const()[name = string("op_346_alpha_1"), val = fp32(0x1.4fbdep-4)]; tensor var_346_cast_fp16 = leaky_relu(alpha = var_346_alpha_1, x = input_41_cast_fp16)[name = string("op_346_cast_fp16")]; tensor var_350 = const()[name = string("op_350"), val = tensor([1])]; tensor mean_y_17_cast_fp16 = reduce_mean(axes = var_350, keep_dims = var_68, x = var_346_cast_fp16)[name = string("mean_y_17_cast_fp16")]; tensor var_352_cast_fp16 = sub(x = var_346_cast_fp16, y = mean_y_17_cast_fp16)[name = string("op_352_cast_fp16")]; tensor var_353_cast_fp16 = square(x = var_352_cast_fp16); tensor var_354 = const()[name = string("op_354"), val = tensor([1])]; tensor var_355_cast_fp16 = reduce_mean(axes = var_354, keep_dims = var_68, x = var_353_cast_fp16)[name = string("op_355_cast_fp16")]; fp16 var_356_to_fp16 = const()[name = string("op_356_to_fp16"), val = fp16(0x1p-14)]; tensor var_357_cast_fp16 = add(x = var_355_cast_fp16, y = var_356_to_fp16)[name = string("op_357_cast_fp16")]; tensor std_y_17_cast_fp16 = sqrt(x = var_357_cast_fp16)[name = string("std_y_17_cast_fp16")]; tensor sep_module_3_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_3_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(287936)))]; tensor var_360_cast_fp16 = mul(x = sep_module_3_tcn_6_norm_gamma_to_fp16, y = var_352_cast_fp16)[name = string("op_360_cast_fp16")]; tensor var_361_cast_fp16 = real_div(x = var_360_cast_fp16, y = std_y_17_cast_fp16)[name = string("op_361_cast_fp16")]; tensor sep_module_3_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_3_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(288256)))]; tensor y_8_cast_fp16 = add(x = var_361_cast_fp16, y = sep_module_3_tcn_6_norm_beta_to_fp16)[name = string("y_8_cast_fp16")]; tensor input_43_cast_fp16 = add(x = input_33_cast_fp16, y = y_8_cast_fp16)[name = string("input_43_cast_fp16")]; tensor var_372 = const()[name = string("op_372"), val = tensor([1])]; tensor var_374 = const()[name = string("op_374"), val = tensor([1])]; string input_45_pad_type_0 = const()[name = string("input_45_pad_type_0"), val = string("custom")]; tensor input_45_pad_0 = const()[name = string("input_45_pad_0"), val = tensor([0, 0])]; tensor sep_module_4_tcn_0_weight_to_fp16 = const()[name = string("sep_module_4_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(288576)))]; tensor input_45_cast_fp16 = conv(dilations = var_374, groups = var_64, pad = input_45_pad_0, pad_type = input_45_pad_type_0, strides = var_372, weight = sep_module_4_tcn_0_weight_to_fp16, x = input_43_cast_fp16)[name = string("input_45_cast_fp16")]; fp32 var_378_alpha_1 = const()[name = string("op_378_alpha_1"), val = fp32(0x1.830c74p-1)]; tensor var_378_cast_fp16 = leaky_relu(alpha = var_378_alpha_1, x = input_45_cast_fp16)[name = string("op_378_cast_fp16")]; tensor var_382 = const()[name = string("op_382"), val = tensor([1])]; tensor mean_y_19_cast_fp16 = reduce_mean(axes = var_382, keep_dims = var_68, x = var_378_cast_fp16)[name = string("mean_y_19_cast_fp16")]; tensor var_384_cast_fp16 = sub(x = var_378_cast_fp16, y = mean_y_19_cast_fp16)[name = string("op_384_cast_fp16")]; tensor var_385_cast_fp16 = square(x = var_384_cast_fp16); tensor var_386 = const()[name = string("op_386"), val = tensor([1])]; tensor var_387_cast_fp16 = reduce_mean(axes = var_386, keep_dims = var_68, x = var_385_cast_fp16)[name = string("op_387_cast_fp16")]; fp16 var_388_to_fp16 = const()[name = string("op_388_to_fp16"), val = fp16(0x1p-14)]; tensor var_389_cast_fp16 = add(x = var_387_cast_fp16, y = var_388_to_fp16)[name = string("op_389_cast_fp16")]; tensor std_y_19_cast_fp16 = sqrt(x = var_389_cast_fp16)[name = string("std_y_19_cast_fp16")]; tensor sep_module_4_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_4_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(321408)))]; tensor var_392_cast_fp16 = mul(x = sep_module_4_tcn_2_norm_gamma_to_fp16, y = var_384_cast_fp16)[name = string("op_392_cast_fp16")]; tensor var_393_cast_fp16 = real_div(x = var_392_cast_fp16, y = std_y_19_cast_fp16)[name = string("op_393_cast_fp16")]; tensor sep_module_4_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_4_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(321728)))]; tensor input_47_cast_fp16 = add(x = var_393_cast_fp16, y = sep_module_4_tcn_2_norm_beta_to_fp16)[name = string("input_47_cast_fp16")]; tensor input_49_pad_0 = const()[name = string("input_49_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_49_mode_0 = const()[name = string("input_49_mode_0"), val = string("constant")]; fp16 const_4_to_fp16 = const()[name = string("const_4_to_fp16"), val = fp16(0x0p+0)]; tensor input_49_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_47_cast_fp16_in_state, input_47_cast_fp16)); tensor input_47_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_49_cast_fp16); tensor var_398 = const()[name = string("op_398"), val = tensor([1])]; tensor var_400 = const()[name = string("op_400"), val = tensor([16])]; string input_51_pad_type_0 = const()[name = string("input_51_pad_type_0"), val = string("custom")]; tensor input_51_pad_0 = const()[name = string("input_51_pad_0"), val = tensor([0, 0])]; tensor sep_module_4_tcn_4_weight_to_fp16 = const()[name = string("sep_module_4_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(322048)))]; tensor input_51_cast_fp16 = conv(dilations = var_400, groups = var_65, pad = input_51_pad_0, pad_type = input_51_pad_type_0, strides = var_398, weight = sep_module_4_tcn_4_weight_to_fp16, x = input_49_cast_fp16)[name = string("input_51_cast_fp16")]; fp32 var_404_alpha_1 = const()[name = string("op_404_alpha_1"), val = fp32(0x1.02782ep-2)]; tensor var_404_cast_fp16 = leaky_relu(alpha = var_404_alpha_1, x = input_51_cast_fp16)[name = string("op_404_cast_fp16")]; tensor var_408 = const()[name = string("op_408"), val = tensor([1])]; tensor mean_y_21_cast_fp16 = reduce_mean(axes = var_408, keep_dims = var_68, x = var_404_cast_fp16)[name = string("mean_y_21_cast_fp16")]; tensor var_410_cast_fp16 = sub(x = var_404_cast_fp16, y = mean_y_21_cast_fp16)[name = string("op_410_cast_fp16")]; tensor var_411_cast_fp16 = square(x = var_410_cast_fp16); tensor var_412 = const()[name = string("op_412"), val = tensor([1])]; tensor var_413_cast_fp16 = reduce_mean(axes = var_412, keep_dims = var_68, x = var_411_cast_fp16)[name = string("op_413_cast_fp16")]; fp16 var_414_to_fp16 = const()[name = string("op_414_to_fp16"), val = fp16(0x1p-14)]; tensor var_415_cast_fp16 = add(x = var_413_cast_fp16, y = var_414_to_fp16)[name = string("op_415_cast_fp16")]; tensor std_y_21_cast_fp16 = sqrt(x = var_415_cast_fp16)[name = string("std_y_21_cast_fp16")]; tensor sep_module_4_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_4_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(322880)))]; tensor var_418_cast_fp16 = mul(x = sep_module_4_tcn_6_norm_gamma_to_fp16, y = var_410_cast_fp16)[name = string("op_418_cast_fp16")]; tensor var_419_cast_fp16 = real_div(x = var_418_cast_fp16, y = std_y_21_cast_fp16)[name = string("op_419_cast_fp16")]; tensor sep_module_4_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_4_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(323200)))]; tensor y_10_cast_fp16 = add(x = var_419_cast_fp16, y = sep_module_4_tcn_6_norm_beta_to_fp16)[name = string("y_10_cast_fp16")]; tensor input_53_cast_fp16 = add(x = input_43_cast_fp16, y = y_10_cast_fp16)[name = string("input_53_cast_fp16")]; tensor var_430 = const()[name = string("op_430"), val = tensor([1])]; tensor var_432 = const()[name = string("op_432"), val = tensor([1])]; string input_55_pad_type_0 = const()[name = string("input_55_pad_type_0"), val = string("custom")]; tensor input_55_pad_0 = const()[name = string("input_55_pad_0"), val = tensor([0, 0])]; tensor sep_module_5_tcn_0_weight_to_fp16 = const()[name = string("sep_module_5_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(323520)))]; tensor input_55_cast_fp16 = conv(dilations = var_432, groups = var_64, pad = input_55_pad_0, pad_type = input_55_pad_type_0, strides = var_430, weight = sep_module_5_tcn_0_weight_to_fp16, x = input_53_cast_fp16)[name = string("input_55_cast_fp16")]; fp32 var_436_alpha_1 = const()[name = string("op_436_alpha_1"), val = fp32(0x1.3cb15ep-1)]; tensor var_436_cast_fp16 = leaky_relu(alpha = var_436_alpha_1, x = input_55_cast_fp16)[name = string("op_436_cast_fp16")]; tensor var_440 = const()[name = string("op_440"), val = tensor([1])]; tensor mean_y_23_cast_fp16 = reduce_mean(axes = var_440, keep_dims = var_68, x = var_436_cast_fp16)[name = string("mean_y_23_cast_fp16")]; tensor var_442_cast_fp16 = sub(x = var_436_cast_fp16, y = mean_y_23_cast_fp16)[name = string("op_442_cast_fp16")]; tensor var_443_cast_fp16 = square(x = var_442_cast_fp16); tensor var_444 = const()[name = string("op_444"), val = tensor([1])]; tensor var_445_cast_fp16 = reduce_mean(axes = var_444, keep_dims = var_68, x = var_443_cast_fp16)[name = string("op_445_cast_fp16")]; fp16 var_446_to_fp16 = const()[name = string("op_446_to_fp16"), val = fp16(0x1p-14)]; tensor var_447_cast_fp16 = add(x = var_445_cast_fp16, y = var_446_to_fp16)[name = string("op_447_cast_fp16")]; tensor std_y_23_cast_fp16 = sqrt(x = var_447_cast_fp16)[name = string("std_y_23_cast_fp16")]; tensor sep_module_5_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_5_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(356352)))]; tensor var_450_cast_fp16 = mul(x = sep_module_5_tcn_2_norm_gamma_to_fp16, y = var_442_cast_fp16)[name = string("op_450_cast_fp16")]; tensor var_451_cast_fp16 = real_div(x = var_450_cast_fp16, y = std_y_23_cast_fp16)[name = string("op_451_cast_fp16")]; tensor sep_module_5_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_5_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(356672)))]; tensor input_57_cast_fp16 = add(x = var_451_cast_fp16, y = sep_module_5_tcn_2_norm_beta_to_fp16)[name = string("input_57_cast_fp16")]; tensor input_59_pad_0 = const()[name = string("input_59_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_59_mode_0 = const()[name = string("input_59_mode_0"), val = string("constant")]; fp16 const_5_to_fp16 = const()[name = string("const_5_to_fp16"), val = fp16(0x0p+0)]; tensor input_59_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_57_cast_fp16_in_state, input_57_cast_fp16)); tensor input_57_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_59_cast_fp16); tensor var_456 = const()[name = string("op_456"), val = tensor([1])]; tensor var_458 = const()[name = string("op_458"), val = tensor([32])]; string input_61_pad_type_0 = const()[name = string("input_61_pad_type_0"), val = string("custom")]; tensor input_61_pad_0 = const()[name = string("input_61_pad_0"), val = tensor([0, 0])]; tensor sep_module_5_tcn_4_weight_to_fp16 = const()[name = string("sep_module_5_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(356992)))]; tensor input_61_cast_fp16 = conv(dilations = var_458, groups = var_65, pad = input_61_pad_0, pad_type = input_61_pad_type_0, strides = var_456, weight = sep_module_5_tcn_4_weight_to_fp16, x = input_59_cast_fp16)[name = string("input_61_cast_fp16")]; fp32 var_462_alpha_1 = const()[name = string("op_462_alpha_1"), val = fp32(-0x1.0a0b82p-3)]; tensor var_462_cast_fp16 = leaky_relu(alpha = var_462_alpha_1, x = input_61_cast_fp16)[name = string("op_462_cast_fp16")]; tensor var_466 = const()[name = string("op_466"), val = tensor([1])]; tensor mean_y_25_cast_fp16 = reduce_mean(axes = var_466, keep_dims = var_68, x = var_462_cast_fp16)[name = string("mean_y_25_cast_fp16")]; tensor var_468_cast_fp16 = sub(x = var_462_cast_fp16, y = mean_y_25_cast_fp16)[name = string("op_468_cast_fp16")]; tensor var_469_cast_fp16 = square(x = var_468_cast_fp16); tensor var_470 = const()[name = string("op_470"), val = tensor([1])]; tensor var_471_cast_fp16 = reduce_mean(axes = var_470, keep_dims = var_68, x = var_469_cast_fp16)[name = string("op_471_cast_fp16")]; fp16 var_472_to_fp16 = const()[name = string("op_472_to_fp16"), val = fp16(0x1p-14)]; tensor var_473_cast_fp16 = add(x = var_471_cast_fp16, y = var_472_to_fp16)[name = string("op_473_cast_fp16")]; tensor std_y_25_cast_fp16 = sqrt(x = var_473_cast_fp16)[name = string("std_y_25_cast_fp16")]; tensor sep_module_5_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_5_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(357824)))]; tensor var_476_cast_fp16 = mul(x = sep_module_5_tcn_6_norm_gamma_to_fp16, y = var_468_cast_fp16)[name = string("op_476_cast_fp16")]; tensor var_477_cast_fp16 = real_div(x = var_476_cast_fp16, y = std_y_25_cast_fp16)[name = string("op_477_cast_fp16")]; tensor sep_module_5_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_5_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(358144)))]; tensor y_12_cast_fp16 = add(x = var_477_cast_fp16, y = sep_module_5_tcn_6_norm_beta_to_fp16)[name = string("y_12_cast_fp16")]; tensor input_63_cast_fp16 = add(x = input_53_cast_fp16, y = y_12_cast_fp16)[name = string("input_63_cast_fp16")]; tensor var_488 = const()[name = string("op_488"), val = tensor([1])]; tensor var_490 = const()[name = string("op_490"), val = tensor([1])]; string input_65_pad_type_0 = const()[name = string("input_65_pad_type_0"), val = string("custom")]; tensor input_65_pad_0 = const()[name = string("input_65_pad_0"), val = tensor([0, 0])]; tensor sep_module_6_tcn_0_weight_to_fp16 = const()[name = string("sep_module_6_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(358464)))]; tensor input_65_cast_fp16 = conv(dilations = var_490, groups = var_64, pad = input_65_pad_0, pad_type = input_65_pad_type_0, strides = var_488, weight = sep_module_6_tcn_0_weight_to_fp16, x = input_63_cast_fp16)[name = string("input_65_cast_fp16")]; fp32 var_494_alpha_1 = const()[name = string("op_494_alpha_1"), val = fp32(0x1.6dab66p-1)]; tensor var_494_cast_fp16 = leaky_relu(alpha = var_494_alpha_1, x = input_65_cast_fp16)[name = string("op_494_cast_fp16")]; tensor var_498 = const()[name = string("op_498"), val = tensor([1])]; tensor mean_y_27_cast_fp16 = reduce_mean(axes = var_498, keep_dims = var_68, x = var_494_cast_fp16)[name = string("mean_y_27_cast_fp16")]; tensor var_500_cast_fp16 = sub(x = var_494_cast_fp16, y = mean_y_27_cast_fp16)[name = string("op_500_cast_fp16")]; tensor var_501_cast_fp16 = square(x = var_500_cast_fp16); tensor var_502 = const()[name = string("op_502"), val = tensor([1])]; tensor var_503_cast_fp16 = reduce_mean(axes = var_502, keep_dims = var_68, x = var_501_cast_fp16)[name = string("op_503_cast_fp16")]; fp16 var_504_to_fp16 = const()[name = string("op_504_to_fp16"), val = fp16(0x1p-14)]; tensor var_505_cast_fp16 = add(x = var_503_cast_fp16, y = var_504_to_fp16)[name = string("op_505_cast_fp16")]; tensor std_y_27_cast_fp16 = sqrt(x = var_505_cast_fp16)[name = string("std_y_27_cast_fp16")]; tensor sep_module_6_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_6_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(391296)))]; tensor var_508_cast_fp16 = mul(x = sep_module_6_tcn_2_norm_gamma_to_fp16, y = var_500_cast_fp16)[name = string("op_508_cast_fp16")]; tensor var_509_cast_fp16 = real_div(x = var_508_cast_fp16, y = std_y_27_cast_fp16)[name = string("op_509_cast_fp16")]; tensor sep_module_6_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_6_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(391616)))]; tensor input_67_cast_fp16 = add(x = var_509_cast_fp16, y = sep_module_6_tcn_2_norm_beta_to_fp16)[name = string("input_67_cast_fp16")]; tensor input_69_pad_0 = const()[name = string("input_69_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_69_mode_0 = const()[name = string("input_69_mode_0"), val = string("constant")]; fp16 const_6_to_fp16 = const()[name = string("const_6_to_fp16"), val = fp16(0x0p+0)]; tensor input_69_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_67_cast_fp16_in_state, input_67_cast_fp16)); tensor input_67_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_69_cast_fp16); tensor var_514 = const()[name = string("op_514"), val = tensor([1])]; tensor var_516 = const()[name = string("op_516"), val = tensor([1])]; string input_71_pad_type_0 = const()[name = string("input_71_pad_type_0"), val = string("custom")]; tensor input_71_pad_0 = const()[name = string("input_71_pad_0"), val = tensor([0, 0])]; tensor sep_module_6_tcn_4_weight_to_fp16 = const()[name = string("sep_module_6_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(391936)))]; tensor input_71_cast_fp16 = conv(dilations = var_516, groups = var_65, pad = input_71_pad_0, pad_type = input_71_pad_type_0, strides = var_514, weight = sep_module_6_tcn_4_weight_to_fp16, x = input_69_cast_fp16)[name = string("input_71_cast_fp16")]; fp32 var_520_alpha_1 = const()[name = string("op_520_alpha_1"), val = fp32(0x1.6e4962p-4)]; tensor var_520_cast_fp16 = leaky_relu(alpha = var_520_alpha_1, x = input_71_cast_fp16)[name = string("op_520_cast_fp16")]; tensor var_524 = const()[name = string("op_524"), val = tensor([1])]; tensor mean_y_29_cast_fp16 = reduce_mean(axes = var_524, keep_dims = var_68, x = var_520_cast_fp16)[name = string("mean_y_29_cast_fp16")]; tensor var_526_cast_fp16 = sub(x = var_520_cast_fp16, y = mean_y_29_cast_fp16)[name = string("op_526_cast_fp16")]; tensor var_527_cast_fp16 = square(x = var_526_cast_fp16); tensor var_528 = const()[name = string("op_528"), val = tensor([1])]; tensor var_529_cast_fp16 = reduce_mean(axes = var_528, keep_dims = var_68, x = var_527_cast_fp16)[name = string("op_529_cast_fp16")]; fp16 var_530_to_fp16 = const()[name = string("op_530_to_fp16"), val = fp16(0x1p-14)]; tensor var_531_cast_fp16 = add(x = var_529_cast_fp16, y = var_530_to_fp16)[name = string("op_531_cast_fp16")]; tensor std_y_29_cast_fp16 = sqrt(x = var_531_cast_fp16)[name = string("std_y_29_cast_fp16")]; tensor sep_module_6_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_6_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(392768)))]; tensor var_534_cast_fp16 = mul(x = sep_module_6_tcn_6_norm_gamma_to_fp16, y = var_526_cast_fp16)[name = string("op_534_cast_fp16")]; tensor var_535_cast_fp16 = real_div(x = var_534_cast_fp16, y = std_y_29_cast_fp16)[name = string("op_535_cast_fp16")]; tensor sep_module_6_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_6_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(393088)))]; tensor y_14_cast_fp16 = add(x = var_535_cast_fp16, y = sep_module_6_tcn_6_norm_beta_to_fp16)[name = string("y_14_cast_fp16")]; tensor input_73_cast_fp16 = add(x = input_63_cast_fp16, y = y_14_cast_fp16)[name = string("input_73_cast_fp16")]; tensor var_546 = const()[name = string("op_546"), val = tensor([1])]; tensor var_548 = const()[name = string("op_548"), val = tensor([1])]; string input_75_pad_type_0 = const()[name = string("input_75_pad_type_0"), val = string("custom")]; tensor input_75_pad_0 = const()[name = string("input_75_pad_0"), val = tensor([0, 0])]; tensor sep_module_7_tcn_0_weight_to_fp16 = const()[name = string("sep_module_7_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(393408)))]; tensor input_75_cast_fp16 = conv(dilations = var_548, groups = var_64, pad = input_75_pad_0, pad_type = input_75_pad_type_0, strides = var_546, weight = sep_module_7_tcn_0_weight_to_fp16, x = input_73_cast_fp16)[name = string("input_75_cast_fp16")]; fp32 var_552_alpha_1 = const()[name = string("op_552_alpha_1"), val = fp32(0x1.4750dcp-1)]; tensor var_552_cast_fp16 = leaky_relu(alpha = var_552_alpha_1, x = input_75_cast_fp16)[name = string("op_552_cast_fp16")]; tensor var_556 = const()[name = string("op_556"), val = tensor([1])]; tensor mean_y_31_cast_fp16 = reduce_mean(axes = var_556, keep_dims = var_68, x = var_552_cast_fp16)[name = string("mean_y_31_cast_fp16")]; tensor var_558_cast_fp16 = sub(x = var_552_cast_fp16, y = mean_y_31_cast_fp16)[name = string("op_558_cast_fp16")]; tensor var_559_cast_fp16 = square(x = var_558_cast_fp16); tensor var_560 = const()[name = string("op_560"), val = tensor([1])]; tensor var_561_cast_fp16 = reduce_mean(axes = var_560, keep_dims = var_68, x = var_559_cast_fp16)[name = string("op_561_cast_fp16")]; fp16 var_562_to_fp16 = const()[name = string("op_562_to_fp16"), val = fp16(0x1p-14)]; tensor var_563_cast_fp16 = add(x = var_561_cast_fp16, y = var_562_to_fp16)[name = string("op_563_cast_fp16")]; tensor std_y_31_cast_fp16 = sqrt(x = var_563_cast_fp16)[name = string("std_y_31_cast_fp16")]; tensor sep_module_7_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_7_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(426240)))]; tensor var_566_cast_fp16 = mul(x = sep_module_7_tcn_2_norm_gamma_to_fp16, y = var_558_cast_fp16)[name = string("op_566_cast_fp16")]; tensor var_567_cast_fp16 = real_div(x = var_566_cast_fp16, y = std_y_31_cast_fp16)[name = string("op_567_cast_fp16")]; tensor sep_module_7_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_7_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(426560)))]; tensor input_77_cast_fp16 = add(x = var_567_cast_fp16, y = sep_module_7_tcn_2_norm_beta_to_fp16)[name = string("input_77_cast_fp16")]; tensor input_79_pad_0 = const()[name = string("input_79_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_79_mode_0 = const()[name = string("input_79_mode_0"), val = string("constant")]; fp16 const_7_to_fp16 = const()[name = string("const_7_to_fp16"), val = fp16(0x0p+0)]; tensor input_79_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_77_cast_fp16_in_state, input_77_cast_fp16)); tensor input_77_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_79_cast_fp16); tensor var_572 = const()[name = string("op_572"), val = tensor([1])]; tensor var_574 = const()[name = string("op_574"), val = tensor([2])]; string input_81_pad_type_0 = const()[name = string("input_81_pad_type_0"), val = string("custom")]; tensor input_81_pad_0 = const()[name = string("input_81_pad_0"), val = tensor([0, 0])]; tensor sep_module_7_tcn_4_weight_to_fp16 = const()[name = string("sep_module_7_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(426880)))]; tensor input_81_cast_fp16 = conv(dilations = var_574, groups = var_65, pad = input_81_pad_0, pad_type = input_81_pad_type_0, strides = var_572, weight = sep_module_7_tcn_4_weight_to_fp16, x = input_79_cast_fp16)[name = string("input_81_cast_fp16")]; fp32 var_578_alpha_1 = const()[name = string("op_578_alpha_1"), val = fp32(-0x1.ae57fcp-2)]; tensor var_578_cast_fp16 = leaky_relu(alpha = var_578_alpha_1, x = input_81_cast_fp16)[name = string("op_578_cast_fp16")]; tensor var_582 = const()[name = string("op_582"), val = tensor([1])]; tensor mean_y_33_cast_fp16 = reduce_mean(axes = var_582, keep_dims = var_68, x = var_578_cast_fp16)[name = string("mean_y_33_cast_fp16")]; tensor var_584_cast_fp16 = sub(x = var_578_cast_fp16, y = mean_y_33_cast_fp16)[name = string("op_584_cast_fp16")]; tensor var_585_cast_fp16 = square(x = var_584_cast_fp16); tensor var_586 = const()[name = string("op_586"), val = tensor([1])]; tensor var_587_cast_fp16 = reduce_mean(axes = var_586, keep_dims = var_68, x = var_585_cast_fp16)[name = string("op_587_cast_fp16")]; fp16 var_588_to_fp16 = const()[name = string("op_588_to_fp16"), val = fp16(0x1p-14)]; tensor var_589_cast_fp16 = add(x = var_587_cast_fp16, y = var_588_to_fp16)[name = string("op_589_cast_fp16")]; tensor std_y_33_cast_fp16 = sqrt(x = var_589_cast_fp16)[name = string("std_y_33_cast_fp16")]; tensor sep_module_7_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_7_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(427712)))]; tensor var_592_cast_fp16 = mul(x = sep_module_7_tcn_6_norm_gamma_to_fp16, y = var_584_cast_fp16)[name = string("op_592_cast_fp16")]; tensor var_593_cast_fp16 = real_div(x = var_592_cast_fp16, y = std_y_33_cast_fp16)[name = string("op_593_cast_fp16")]; tensor sep_module_7_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_7_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(428032)))]; tensor y_16_cast_fp16 = add(x = var_593_cast_fp16, y = sep_module_7_tcn_6_norm_beta_to_fp16)[name = string("y_16_cast_fp16")]; tensor input_83_cast_fp16 = add(x = input_73_cast_fp16, y = y_16_cast_fp16)[name = string("input_83_cast_fp16")]; tensor var_604 = const()[name = string("op_604"), val = tensor([1])]; tensor var_606 = const()[name = string("op_606"), val = tensor([1])]; string input_85_pad_type_0 = const()[name = string("input_85_pad_type_0"), val = string("custom")]; tensor input_85_pad_0 = const()[name = string("input_85_pad_0"), val = tensor([0, 0])]; tensor sep_module_8_tcn_0_weight_to_fp16 = const()[name = string("sep_module_8_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(428352)))]; tensor input_85_cast_fp16 = conv(dilations = var_606, groups = var_64, pad = input_85_pad_0, pad_type = input_85_pad_type_0, strides = var_604, weight = sep_module_8_tcn_0_weight_to_fp16, x = input_83_cast_fp16)[name = string("input_85_cast_fp16")]; fp32 var_610_alpha_1 = const()[name = string("op_610_alpha_1"), val = fp32(0x1.23d424p-1)]; tensor var_610_cast_fp16 = leaky_relu(alpha = var_610_alpha_1, x = input_85_cast_fp16)[name = string("op_610_cast_fp16")]; tensor var_614 = const()[name = string("op_614"), val = tensor([1])]; tensor mean_y_35_cast_fp16 = reduce_mean(axes = var_614, keep_dims = var_68, x = var_610_cast_fp16)[name = string("mean_y_35_cast_fp16")]; tensor var_616_cast_fp16 = sub(x = var_610_cast_fp16, y = mean_y_35_cast_fp16)[name = string("op_616_cast_fp16")]; tensor var_617_cast_fp16 = square(x = var_616_cast_fp16); tensor var_618 = const()[name = string("op_618"), val = tensor([1])]; tensor var_619_cast_fp16 = reduce_mean(axes = var_618, keep_dims = var_68, x = var_617_cast_fp16)[name = string("op_619_cast_fp16")]; fp16 var_620_to_fp16 = const()[name = string("op_620_to_fp16"), val = fp16(0x1p-14)]; tensor var_621_cast_fp16 = add(x = var_619_cast_fp16, y = var_620_to_fp16)[name = string("op_621_cast_fp16")]; tensor std_y_35_cast_fp16 = sqrt(x = var_621_cast_fp16)[name = string("std_y_35_cast_fp16")]; tensor sep_module_8_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_8_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(461184)))]; tensor var_624_cast_fp16 = mul(x = sep_module_8_tcn_2_norm_gamma_to_fp16, y = var_616_cast_fp16)[name = string("op_624_cast_fp16")]; tensor var_625_cast_fp16 = real_div(x = var_624_cast_fp16, y = std_y_35_cast_fp16)[name = string("op_625_cast_fp16")]; tensor sep_module_8_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_8_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(461504)))]; tensor input_87_cast_fp16 = add(x = var_625_cast_fp16, y = sep_module_8_tcn_2_norm_beta_to_fp16)[name = string("input_87_cast_fp16")]; tensor input_89_pad_0 = const()[name = string("input_89_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_89_mode_0 = const()[name = string("input_89_mode_0"), val = string("constant")]; fp16 const_8_to_fp16 = const()[name = string("const_8_to_fp16"), val = fp16(0x0p+0)]; tensor input_89_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_87_cast_fp16_in_state, input_87_cast_fp16)); tensor input_87_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_89_cast_fp16); tensor var_630 = const()[name = string("op_630"), val = tensor([1])]; tensor var_632 = const()[name = string("op_632"), val = tensor([4])]; string input_91_pad_type_0 = const()[name = string("input_91_pad_type_0"), val = string("custom")]; tensor input_91_pad_0 = const()[name = string("input_91_pad_0"), val = tensor([0, 0])]; tensor sep_module_8_tcn_4_weight_to_fp16 = const()[name = string("sep_module_8_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(461824)))]; tensor input_91_cast_fp16 = conv(dilations = var_632, groups = var_65, pad = input_91_pad_0, pad_type = input_91_pad_type_0, strides = var_630, weight = sep_module_8_tcn_4_weight_to_fp16, x = input_89_cast_fp16)[name = string("input_91_cast_fp16")]; fp32 var_636_alpha_1 = const()[name = string("op_636_alpha_1"), val = fp32(-0x1.1b43dcp-1)]; tensor var_636_cast_fp16 = leaky_relu(alpha = var_636_alpha_1, x = input_91_cast_fp16)[name = string("op_636_cast_fp16")]; tensor var_640 = const()[name = string("op_640"), val = tensor([1])]; tensor mean_y_37_cast_fp16 = reduce_mean(axes = var_640, keep_dims = var_68, x = var_636_cast_fp16)[name = string("mean_y_37_cast_fp16")]; tensor var_642_cast_fp16 = sub(x = var_636_cast_fp16, y = mean_y_37_cast_fp16)[name = string("op_642_cast_fp16")]; tensor var_643_cast_fp16 = square(x = var_642_cast_fp16); tensor var_644 = const()[name = string("op_644"), val = tensor([1])]; tensor var_645_cast_fp16 = reduce_mean(axes = var_644, keep_dims = var_68, x = var_643_cast_fp16)[name = string("op_645_cast_fp16")]; fp16 var_646_to_fp16 = const()[name = string("op_646_to_fp16"), val = fp16(0x1p-14)]; tensor var_647_cast_fp16 = add(x = var_645_cast_fp16, y = var_646_to_fp16)[name = string("op_647_cast_fp16")]; tensor std_y_37_cast_fp16 = sqrt(x = var_647_cast_fp16)[name = string("std_y_37_cast_fp16")]; tensor sep_module_8_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_8_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(462656)))]; tensor var_650_cast_fp16 = mul(x = sep_module_8_tcn_6_norm_gamma_to_fp16, y = var_642_cast_fp16)[name = string("op_650_cast_fp16")]; tensor var_651_cast_fp16 = real_div(x = var_650_cast_fp16, y = std_y_37_cast_fp16)[name = string("op_651_cast_fp16")]; tensor sep_module_8_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_8_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(462976)))]; tensor y_18_cast_fp16 = add(x = var_651_cast_fp16, y = sep_module_8_tcn_6_norm_beta_to_fp16)[name = string("y_18_cast_fp16")]; tensor input_93_cast_fp16 = add(x = input_83_cast_fp16, y = y_18_cast_fp16)[name = string("input_93_cast_fp16")]; tensor var_662 = const()[name = string("op_662"), val = tensor([1])]; tensor var_664 = const()[name = string("op_664"), val = tensor([1])]; string input_95_pad_type_0 = const()[name = string("input_95_pad_type_0"), val = string("custom")]; tensor input_95_pad_0 = const()[name = string("input_95_pad_0"), val = tensor([0, 0])]; tensor sep_module_9_tcn_0_weight_to_fp16 = const()[name = string("sep_module_9_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(463296)))]; tensor input_95_cast_fp16 = conv(dilations = var_664, groups = var_64, pad = input_95_pad_0, pad_type = input_95_pad_type_0, strides = var_662, weight = sep_module_9_tcn_0_weight_to_fp16, x = input_93_cast_fp16)[name = string("input_95_cast_fp16")]; fp32 var_668_alpha_1 = const()[name = string("op_668_alpha_1"), val = fp32(0x1.47184cp-1)]; tensor var_668_cast_fp16 = leaky_relu(alpha = var_668_alpha_1, x = input_95_cast_fp16)[name = string("op_668_cast_fp16")]; tensor var_672 = const()[name = string("op_672"), val = tensor([1])]; tensor mean_y_39_cast_fp16 = reduce_mean(axes = var_672, keep_dims = var_68, x = var_668_cast_fp16)[name = string("mean_y_39_cast_fp16")]; tensor var_674_cast_fp16 = sub(x = var_668_cast_fp16, y = mean_y_39_cast_fp16)[name = string("op_674_cast_fp16")]; tensor var_675_cast_fp16 = square(x = var_674_cast_fp16); tensor var_676 = const()[name = string("op_676"), val = tensor([1])]; tensor var_677_cast_fp16 = reduce_mean(axes = var_676, keep_dims = var_68, x = var_675_cast_fp16)[name = string("op_677_cast_fp16")]; fp16 var_678_to_fp16 = const()[name = string("op_678_to_fp16"), val = fp16(0x1p-14)]; tensor var_679_cast_fp16 = add(x = var_677_cast_fp16, y = var_678_to_fp16)[name = string("op_679_cast_fp16")]; tensor std_y_39_cast_fp16 = sqrt(x = var_679_cast_fp16)[name = string("std_y_39_cast_fp16")]; tensor sep_module_9_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_9_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(496128)))]; tensor var_682_cast_fp16 = mul(x = sep_module_9_tcn_2_norm_gamma_to_fp16, y = var_674_cast_fp16)[name = string("op_682_cast_fp16")]; tensor var_683_cast_fp16 = real_div(x = var_682_cast_fp16, y = std_y_39_cast_fp16)[name = string("op_683_cast_fp16")]; tensor sep_module_9_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_9_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(496448)))]; tensor input_97_cast_fp16 = add(x = var_683_cast_fp16, y = sep_module_9_tcn_2_norm_beta_to_fp16)[name = string("input_97_cast_fp16")]; tensor input_99_pad_0 = const()[name = string("input_99_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_99_mode_0 = const()[name = string("input_99_mode_0"), val = string("constant")]; fp16 const_9_to_fp16 = const()[name = string("const_9_to_fp16"), val = fp16(0x0p+0)]; tensor input_99_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_97_cast_fp16_in_state, input_97_cast_fp16)); tensor input_97_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_99_cast_fp16); tensor var_688 = const()[name = string("op_688"), val = tensor([1])]; tensor var_690 = const()[name = string("op_690"), val = tensor([8])]; string input_101_pad_type_0 = const()[name = string("input_101_pad_type_0"), val = string("custom")]; tensor input_101_pad_0 = const()[name = string("input_101_pad_0"), val = tensor([0, 0])]; tensor sep_module_9_tcn_4_weight_to_fp16 = const()[name = string("sep_module_9_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(496768)))]; tensor input_101_cast_fp16 = conv(dilations = var_690, groups = var_65, pad = input_101_pad_0, pad_type = input_101_pad_type_0, strides = var_688, weight = sep_module_9_tcn_4_weight_to_fp16, x = input_99_cast_fp16)[name = string("input_101_cast_fp16")]; fp32 var_694_alpha_1 = const()[name = string("op_694_alpha_1"), val = fp32(0x1.1cef64p-5)]; tensor var_694_cast_fp16 = leaky_relu(alpha = var_694_alpha_1, x = input_101_cast_fp16)[name = string("op_694_cast_fp16")]; tensor var_698 = const()[name = string("op_698"), val = tensor([1])]; tensor mean_y_41_cast_fp16 = reduce_mean(axes = var_698, keep_dims = var_68, x = var_694_cast_fp16)[name = string("mean_y_41_cast_fp16")]; tensor var_700_cast_fp16 = sub(x = var_694_cast_fp16, y = mean_y_41_cast_fp16)[name = string("op_700_cast_fp16")]; tensor var_701_cast_fp16 = square(x = var_700_cast_fp16); tensor var_702 = const()[name = string("op_702"), val = tensor([1])]; tensor var_703_cast_fp16 = reduce_mean(axes = var_702, keep_dims = var_68, x = var_701_cast_fp16)[name = string("op_703_cast_fp16")]; fp16 var_704_to_fp16 = const()[name = string("op_704_to_fp16"), val = fp16(0x1p-14)]; tensor var_705_cast_fp16 = add(x = var_703_cast_fp16, y = var_704_to_fp16)[name = string("op_705_cast_fp16")]; tensor std_y_41_cast_fp16 = sqrt(x = var_705_cast_fp16)[name = string("std_y_41_cast_fp16")]; tensor sep_module_9_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_9_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(497600)))]; tensor var_708_cast_fp16 = mul(x = sep_module_9_tcn_6_norm_gamma_to_fp16, y = var_700_cast_fp16)[name = string("op_708_cast_fp16")]; tensor var_709_cast_fp16 = real_div(x = var_708_cast_fp16, y = std_y_41_cast_fp16)[name = string("op_709_cast_fp16")]; tensor sep_module_9_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_9_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(497920)))]; tensor y_20_cast_fp16 = add(x = var_709_cast_fp16, y = sep_module_9_tcn_6_norm_beta_to_fp16)[name = string("y_20_cast_fp16")]; tensor input_103_cast_fp16 = add(x = input_93_cast_fp16, y = y_20_cast_fp16)[name = string("input_103_cast_fp16")]; tensor var_720 = const()[name = string("op_720"), val = tensor([1])]; tensor var_722 = const()[name = string("op_722"), val = tensor([1])]; string input_105_pad_type_0 = const()[name = string("input_105_pad_type_0"), val = string("custom")]; tensor input_105_pad_0 = const()[name = string("input_105_pad_0"), val = tensor([0, 0])]; tensor sep_module_10_tcn_0_weight_to_fp16 = const()[name = string("sep_module_10_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(498240)))]; tensor input_105_cast_fp16 = conv(dilations = var_722, groups = var_64, pad = input_105_pad_0, pad_type = input_105_pad_type_0, strides = var_720, weight = sep_module_10_tcn_0_weight_to_fp16, x = input_103_cast_fp16)[name = string("input_105_cast_fp16")]; fp32 var_726_alpha_1 = const()[name = string("op_726_alpha_1"), val = fp32(0x1.19731p-1)]; tensor var_726_cast_fp16 = leaky_relu(alpha = var_726_alpha_1, x = input_105_cast_fp16)[name = string("op_726_cast_fp16")]; tensor var_730 = const()[name = string("op_730"), val = tensor([1])]; tensor mean_y_43_cast_fp16 = reduce_mean(axes = var_730, keep_dims = var_68, x = var_726_cast_fp16)[name = string("mean_y_43_cast_fp16")]; tensor var_732_cast_fp16 = sub(x = var_726_cast_fp16, y = mean_y_43_cast_fp16)[name = string("op_732_cast_fp16")]; tensor var_733_cast_fp16 = square(x = var_732_cast_fp16); tensor var_734 = const()[name = string("op_734"), val = tensor([1])]; tensor var_735_cast_fp16 = reduce_mean(axes = var_734, keep_dims = var_68, x = var_733_cast_fp16)[name = string("op_735_cast_fp16")]; fp16 var_736_to_fp16 = const()[name = string("op_736_to_fp16"), val = fp16(0x1p-14)]; tensor var_737_cast_fp16 = add(x = var_735_cast_fp16, y = var_736_to_fp16)[name = string("op_737_cast_fp16")]; tensor std_y_43_cast_fp16 = sqrt(x = var_737_cast_fp16)[name = string("std_y_43_cast_fp16")]; tensor sep_module_10_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_10_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(531072)))]; tensor var_740_cast_fp16 = mul(x = sep_module_10_tcn_2_norm_gamma_to_fp16, y = var_732_cast_fp16)[name = string("op_740_cast_fp16")]; tensor var_741_cast_fp16 = real_div(x = var_740_cast_fp16, y = std_y_43_cast_fp16)[name = string("op_741_cast_fp16")]; tensor sep_module_10_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_10_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(531392)))]; tensor input_107_cast_fp16 = add(x = var_741_cast_fp16, y = sep_module_10_tcn_2_norm_beta_to_fp16)[name = string("input_107_cast_fp16")]; tensor input_109_pad_0 = const()[name = string("input_109_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_109_mode_0 = const()[name = string("input_109_mode_0"), val = string("constant")]; fp16 const_10_to_fp16 = const()[name = string("const_10_to_fp16"), val = fp16(0x0p+0)]; tensor input_109_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_107_cast_fp16_in_state, input_107_cast_fp16)); tensor input_107_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_109_cast_fp16); tensor var_746 = const()[name = string("op_746"), val = tensor([1])]; tensor var_748 = const()[name = string("op_748"), val = tensor([16])]; string input_111_pad_type_0 = const()[name = string("input_111_pad_type_0"), val = string("custom")]; tensor input_111_pad_0 = const()[name = string("input_111_pad_0"), val = tensor([0, 0])]; tensor sep_module_10_tcn_4_weight_to_fp16 = const()[name = string("sep_module_10_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(531712)))]; tensor input_111_cast_fp16 = conv(dilations = var_748, groups = var_65, pad = input_111_pad_0, pad_type = input_111_pad_type_0, strides = var_746, weight = sep_module_10_tcn_4_weight_to_fp16, x = input_109_cast_fp16)[name = string("input_111_cast_fp16")]; fp32 var_752_alpha_1 = const()[name = string("op_752_alpha_1"), val = fp32(0x1.222ba8p-5)]; tensor var_752_cast_fp16 = leaky_relu(alpha = var_752_alpha_1, x = input_111_cast_fp16)[name = string("op_752_cast_fp16")]; tensor var_756 = const()[name = string("op_756"), val = tensor([1])]; tensor mean_y_45_cast_fp16 = reduce_mean(axes = var_756, keep_dims = var_68, x = var_752_cast_fp16)[name = string("mean_y_45_cast_fp16")]; tensor var_758_cast_fp16 = sub(x = var_752_cast_fp16, y = mean_y_45_cast_fp16)[name = string("op_758_cast_fp16")]; tensor var_759_cast_fp16 = square(x = var_758_cast_fp16); tensor var_760 = const()[name = string("op_760"), val = tensor([1])]; tensor var_761_cast_fp16 = reduce_mean(axes = var_760, keep_dims = var_68, x = var_759_cast_fp16)[name = string("op_761_cast_fp16")]; fp16 var_762_to_fp16 = const()[name = string("op_762_to_fp16"), val = fp16(0x1p-14)]; tensor var_763_cast_fp16 = add(x = var_761_cast_fp16, y = var_762_to_fp16)[name = string("op_763_cast_fp16")]; tensor std_y_45_cast_fp16 = sqrt(x = var_763_cast_fp16)[name = string("std_y_45_cast_fp16")]; tensor sep_module_10_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_10_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(532544)))]; tensor var_766_cast_fp16 = mul(x = sep_module_10_tcn_6_norm_gamma_to_fp16, y = var_758_cast_fp16)[name = string("op_766_cast_fp16")]; tensor var_767_cast_fp16 = real_div(x = var_766_cast_fp16, y = std_y_45_cast_fp16)[name = string("op_767_cast_fp16")]; tensor sep_module_10_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_10_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(532864)))]; tensor y_22_cast_fp16 = add(x = var_767_cast_fp16, y = sep_module_10_tcn_6_norm_beta_to_fp16)[name = string("y_22_cast_fp16")]; tensor input_113_cast_fp16 = add(x = input_103_cast_fp16, y = y_22_cast_fp16)[name = string("input_113_cast_fp16")]; tensor var_778 = const()[name = string("op_778"), val = tensor([1])]; tensor var_780 = const()[name = string("op_780"), val = tensor([1])]; string input_115_pad_type_0 = const()[name = string("input_115_pad_type_0"), val = string("custom")]; tensor input_115_pad_0 = const()[name = string("input_115_pad_0"), val = tensor([0, 0])]; tensor sep_module_11_tcn_0_weight_to_fp16 = const()[name = string("sep_module_11_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(533184)))]; tensor input_115_cast_fp16 = conv(dilations = var_780, groups = var_64, pad = input_115_pad_0, pad_type = input_115_pad_type_0, strides = var_778, weight = sep_module_11_tcn_0_weight_to_fp16, x = input_113_cast_fp16)[name = string("input_115_cast_fp16")]; fp32 var_784_alpha_1 = const()[name = string("op_784_alpha_1"), val = fp32(0x1.b0b59ap-1)]; tensor var_784_cast_fp16 = leaky_relu(alpha = var_784_alpha_1, x = input_115_cast_fp16)[name = string("op_784_cast_fp16")]; tensor var_788 = const()[name = string("op_788"), val = tensor([1])]; tensor mean_y_47_cast_fp16 = reduce_mean(axes = var_788, keep_dims = var_68, x = var_784_cast_fp16)[name = string("mean_y_47_cast_fp16")]; tensor var_790_cast_fp16 = sub(x = var_784_cast_fp16, y = mean_y_47_cast_fp16)[name = string("op_790_cast_fp16")]; tensor var_791_cast_fp16 = square(x = var_790_cast_fp16); tensor var_792 = const()[name = string("op_792"), val = tensor([1])]; tensor var_793_cast_fp16 = reduce_mean(axes = var_792, keep_dims = var_68, x = var_791_cast_fp16)[name = string("op_793_cast_fp16")]; fp16 var_794_to_fp16 = const()[name = string("op_794_to_fp16"), val = fp16(0x1p-14)]; tensor var_795_cast_fp16 = add(x = var_793_cast_fp16, y = var_794_to_fp16)[name = string("op_795_cast_fp16")]; tensor std_y_47_cast_fp16 = sqrt(x = var_795_cast_fp16)[name = string("std_y_47_cast_fp16")]; tensor sep_module_11_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_11_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(566016)))]; tensor var_798_cast_fp16 = mul(x = sep_module_11_tcn_2_norm_gamma_to_fp16, y = var_790_cast_fp16)[name = string("op_798_cast_fp16")]; tensor var_799_cast_fp16 = real_div(x = var_798_cast_fp16, y = std_y_47_cast_fp16)[name = string("op_799_cast_fp16")]; tensor sep_module_11_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_11_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(566336)))]; tensor input_117_cast_fp16 = add(x = var_799_cast_fp16, y = sep_module_11_tcn_2_norm_beta_to_fp16)[name = string("input_117_cast_fp16")]; tensor input_119_pad_0 = const()[name = string("input_119_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_119_mode_0 = const()[name = string("input_119_mode_0"), val = string("constant")]; fp16 const_11_to_fp16 = const()[name = string("const_11_to_fp16"), val = fp16(0x0p+0)]; tensor input_119_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_117_cast_fp16_in_state, input_117_cast_fp16)); tensor input_117_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_119_cast_fp16); tensor var_804 = const()[name = string("op_804"), val = tensor([1])]; tensor var_806 = const()[name = string("op_806"), val = tensor([32])]; string input_121_pad_type_0 = const()[name = string("input_121_pad_type_0"), val = string("custom")]; tensor input_121_pad_0 = const()[name = string("input_121_pad_0"), val = tensor([0, 0])]; tensor sep_module_11_tcn_4_weight_to_fp16 = const()[name = string("sep_module_11_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(566656)))]; tensor input_121_cast_fp16 = conv(dilations = var_806, groups = var_65, pad = input_121_pad_0, pad_type = input_121_pad_type_0, strides = var_804, weight = sep_module_11_tcn_4_weight_to_fp16, x = input_119_cast_fp16)[name = string("input_121_cast_fp16")]; fp32 var_810_alpha_1 = const()[name = string("op_810_alpha_1"), val = fp32(0x1.82394ap-1)]; tensor var_810_cast_fp16 = leaky_relu(alpha = var_810_alpha_1, x = input_121_cast_fp16)[name = string("op_810_cast_fp16")]; tensor var_814 = const()[name = string("op_814"), val = tensor([1])]; tensor mean_y_49_cast_fp16 = reduce_mean(axes = var_814, keep_dims = var_68, x = var_810_cast_fp16)[name = string("mean_y_49_cast_fp16")]; tensor var_816_cast_fp16 = sub(x = var_810_cast_fp16, y = mean_y_49_cast_fp16)[name = string("op_816_cast_fp16")]; tensor var_817_cast_fp16 = square(x = var_816_cast_fp16); tensor var_818 = const()[name = string("op_818"), val = tensor([1])]; tensor var_819_cast_fp16 = reduce_mean(axes = var_818, keep_dims = var_68, x = var_817_cast_fp16)[name = string("op_819_cast_fp16")]; fp16 var_820_to_fp16 = const()[name = string("op_820_to_fp16"), val = fp16(0x1p-14)]; tensor var_821_cast_fp16 = add(x = var_819_cast_fp16, y = var_820_to_fp16)[name = string("op_821_cast_fp16")]; tensor std_y_49_cast_fp16 = sqrt(x = var_821_cast_fp16)[name = string("std_y_49_cast_fp16")]; tensor sep_module_11_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_11_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(567488)))]; tensor var_824_cast_fp16 = mul(x = sep_module_11_tcn_6_norm_gamma_to_fp16, y = var_816_cast_fp16)[name = string("op_824_cast_fp16")]; tensor var_825_cast_fp16 = real_div(x = var_824_cast_fp16, y = std_y_49_cast_fp16)[name = string("op_825_cast_fp16")]; tensor sep_module_11_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_11_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(567808)))]; tensor y_24_cast_fp16 = add(x = var_825_cast_fp16, y = sep_module_11_tcn_6_norm_beta_to_fp16)[name = string("y_24_cast_fp16")]; tensor input_123_cast_fp16 = add(x = input_113_cast_fp16, y = y_24_cast_fp16)[name = string("input_123_cast_fp16")]; tensor var_836 = const()[name = string("op_836"), val = tensor([1])]; tensor var_838 = const()[name = string("op_838"), val = tensor([1])]; string input_125_pad_type_0 = const()[name = string("input_125_pad_type_0"), val = string("custom")]; tensor input_125_pad_0 = const()[name = string("input_125_pad_0"), val = tensor([0, 0])]; tensor sep_module_12_tcn_0_weight_to_fp16 = const()[name = string("sep_module_12_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(568128)))]; tensor input_125_cast_fp16 = conv(dilations = var_838, groups = var_64, pad = input_125_pad_0, pad_type = input_125_pad_type_0, strides = var_836, weight = sep_module_12_tcn_0_weight_to_fp16, x = input_123_cast_fp16)[name = string("input_125_cast_fp16")]; fp32 var_842_alpha_1 = const()[name = string("op_842_alpha_1"), val = fp32(-0x1.825944p-3)]; tensor var_842_cast_fp16 = leaky_relu(alpha = var_842_alpha_1, x = input_125_cast_fp16)[name = string("op_842_cast_fp16")]; tensor var_846 = const()[name = string("op_846"), val = tensor([1])]; tensor mean_y_51_cast_fp16 = reduce_mean(axes = var_846, keep_dims = var_68, x = var_842_cast_fp16)[name = string("mean_y_51_cast_fp16")]; tensor var_848_cast_fp16 = sub(x = var_842_cast_fp16, y = mean_y_51_cast_fp16)[name = string("op_848_cast_fp16")]; tensor var_849_cast_fp16 = square(x = var_848_cast_fp16); tensor var_850 = const()[name = string("op_850"), val = tensor([1])]; tensor var_851_cast_fp16 = reduce_mean(axes = var_850, keep_dims = var_68, x = var_849_cast_fp16)[name = string("op_851_cast_fp16")]; fp16 var_852_to_fp16 = const()[name = string("op_852_to_fp16"), val = fp16(0x1p-14)]; tensor var_853_cast_fp16 = add(x = var_851_cast_fp16, y = var_852_to_fp16)[name = string("op_853_cast_fp16")]; tensor std_y_51_cast_fp16 = sqrt(x = var_853_cast_fp16)[name = string("std_y_51_cast_fp16")]; tensor sep_module_12_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_12_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(600960)))]; tensor var_856_cast_fp16 = mul(x = sep_module_12_tcn_2_norm_gamma_to_fp16, y = var_848_cast_fp16)[name = string("op_856_cast_fp16")]; tensor var_857_cast_fp16 = real_div(x = var_856_cast_fp16, y = std_y_51_cast_fp16)[name = string("op_857_cast_fp16")]; tensor sep_module_12_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_12_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(601280)))]; tensor input_127_cast_fp16 = add(x = var_857_cast_fp16, y = sep_module_12_tcn_2_norm_beta_to_fp16)[name = string("input_127_cast_fp16")]; tensor input_129_pad_0 = const()[name = string("input_129_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_129_mode_0 = const()[name = string("input_129_mode_0"), val = string("constant")]; fp16 const_12_to_fp16 = const()[name = string("const_12_to_fp16"), val = fp16(0x0p+0)]; tensor input_129_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_127_cast_fp16_in_state, input_127_cast_fp16)); tensor input_127_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_129_cast_fp16); tensor var_862 = const()[name = string("op_862"), val = tensor([1])]; tensor var_864 = const()[name = string("op_864"), val = tensor([1])]; string input_131_pad_type_0 = const()[name = string("input_131_pad_type_0"), val = string("custom")]; tensor input_131_pad_0 = const()[name = string("input_131_pad_0"), val = tensor([0, 0])]; tensor sep_module_12_tcn_4_weight_to_fp16 = const()[name = string("sep_module_12_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(601600)))]; tensor input_131_cast_fp16 = conv(dilations = var_864, groups = var_65, pad = input_131_pad_0, pad_type = input_131_pad_type_0, strides = var_862, weight = sep_module_12_tcn_4_weight_to_fp16, x = input_129_cast_fp16)[name = string("input_131_cast_fp16")]; fp32 var_868_alpha_1 = const()[name = string("op_868_alpha_1"), val = fp32(0x1.deba5ap-1)]; tensor var_868_cast_fp16 = leaky_relu(alpha = var_868_alpha_1, x = input_131_cast_fp16)[name = string("op_868_cast_fp16")]; tensor var_872 = const()[name = string("op_872"), val = tensor([1])]; tensor mean_y_53_cast_fp16 = reduce_mean(axes = var_872, keep_dims = var_68, x = var_868_cast_fp16)[name = string("mean_y_53_cast_fp16")]; tensor var_874_cast_fp16 = sub(x = var_868_cast_fp16, y = mean_y_53_cast_fp16)[name = string("op_874_cast_fp16")]; tensor var_875_cast_fp16 = square(x = var_874_cast_fp16); tensor var_876 = const()[name = string("op_876"), val = tensor([1])]; tensor var_877_cast_fp16 = reduce_mean(axes = var_876, keep_dims = var_68, x = var_875_cast_fp16)[name = string("op_877_cast_fp16")]; fp16 var_878_to_fp16 = const()[name = string("op_878_to_fp16"), val = fp16(0x1p-14)]; tensor var_879_cast_fp16 = add(x = var_877_cast_fp16, y = var_878_to_fp16)[name = string("op_879_cast_fp16")]; tensor std_y_53_cast_fp16 = sqrt(x = var_879_cast_fp16)[name = string("std_y_53_cast_fp16")]; tensor sep_module_12_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_12_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(602432)))]; tensor var_882_cast_fp16 = mul(x = sep_module_12_tcn_6_norm_gamma_to_fp16, y = var_874_cast_fp16)[name = string("op_882_cast_fp16")]; tensor var_883_cast_fp16 = real_div(x = var_882_cast_fp16, y = std_y_53_cast_fp16)[name = string("op_883_cast_fp16")]; tensor sep_module_12_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_12_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(602752)))]; tensor y_26_cast_fp16 = add(x = var_883_cast_fp16, y = sep_module_12_tcn_6_norm_beta_to_fp16)[name = string("y_26_cast_fp16")]; tensor input_133_cast_fp16 = add(x = input_123_cast_fp16, y = y_26_cast_fp16)[name = string("input_133_cast_fp16")]; tensor var_894 = const()[name = string("op_894"), val = tensor([1])]; tensor var_896 = const()[name = string("op_896"), val = tensor([1])]; string input_135_pad_type_0 = const()[name = string("input_135_pad_type_0"), val = string("custom")]; tensor input_135_pad_0 = const()[name = string("input_135_pad_0"), val = tensor([0, 0])]; tensor sep_module_13_tcn_0_weight_to_fp16 = const()[name = string("sep_module_13_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(603072)))]; tensor input_135_cast_fp16 = conv(dilations = var_896, groups = var_64, pad = input_135_pad_0, pad_type = input_135_pad_type_0, strides = var_894, weight = sep_module_13_tcn_0_weight_to_fp16, x = input_133_cast_fp16)[name = string("input_135_cast_fp16")]; fp32 var_900_alpha_1 = const()[name = string("op_900_alpha_1"), val = fp32(-0x1.25f6eap-2)]; tensor var_900_cast_fp16 = leaky_relu(alpha = var_900_alpha_1, x = input_135_cast_fp16)[name = string("op_900_cast_fp16")]; tensor var_904 = const()[name = string("op_904"), val = tensor([1])]; tensor mean_y_55_cast_fp16 = reduce_mean(axes = var_904, keep_dims = var_68, x = var_900_cast_fp16)[name = string("mean_y_55_cast_fp16")]; tensor var_906_cast_fp16 = sub(x = var_900_cast_fp16, y = mean_y_55_cast_fp16)[name = string("op_906_cast_fp16")]; tensor var_907_cast_fp16 = square(x = var_906_cast_fp16); tensor var_908 = const()[name = string("op_908"), val = tensor([1])]; tensor var_909_cast_fp16 = reduce_mean(axes = var_908, keep_dims = var_68, x = var_907_cast_fp16)[name = string("op_909_cast_fp16")]; fp16 var_910_to_fp16 = const()[name = string("op_910_to_fp16"), val = fp16(0x1p-14)]; tensor var_911_cast_fp16 = add(x = var_909_cast_fp16, y = var_910_to_fp16)[name = string("op_911_cast_fp16")]; tensor std_y_55_cast_fp16 = sqrt(x = var_911_cast_fp16)[name = string("std_y_55_cast_fp16")]; tensor sep_module_13_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_13_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(635904)))]; tensor var_914_cast_fp16 = mul(x = sep_module_13_tcn_2_norm_gamma_to_fp16, y = var_906_cast_fp16)[name = string("op_914_cast_fp16")]; tensor var_915_cast_fp16 = real_div(x = var_914_cast_fp16, y = std_y_55_cast_fp16)[name = string("op_915_cast_fp16")]; tensor sep_module_13_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_13_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(636224)))]; tensor input_137_cast_fp16 = add(x = var_915_cast_fp16, y = sep_module_13_tcn_2_norm_beta_to_fp16)[name = string("input_137_cast_fp16")]; tensor input_139_pad_0 = const()[name = string("input_139_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_139_mode_0 = const()[name = string("input_139_mode_0"), val = string("constant")]; fp16 const_13_to_fp16 = const()[name = string("const_13_to_fp16"), val = fp16(0x0p+0)]; tensor input_139_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_137_cast_fp16_in_state, input_137_cast_fp16)); tensor input_137_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_139_cast_fp16); tensor var_920 = const()[name = string("op_920"), val = tensor([1])]; tensor var_922 = const()[name = string("op_922"), val = tensor([2])]; string input_141_pad_type_0 = const()[name = string("input_141_pad_type_0"), val = string("custom")]; tensor input_141_pad_0 = const()[name = string("input_141_pad_0"), val = tensor([0, 0])]; tensor sep_module_13_tcn_4_weight_to_fp16 = const()[name = string("sep_module_13_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(636544)))]; tensor input_141_cast_fp16 = conv(dilations = var_922, groups = var_65, pad = input_141_pad_0, pad_type = input_141_pad_type_0, strides = var_920, weight = sep_module_13_tcn_4_weight_to_fp16, x = input_139_cast_fp16)[name = string("input_141_cast_fp16")]; fp32 var_926_alpha_1 = const()[name = string("op_926_alpha_1"), val = fp32(0x1.ce09a8p-1)]; tensor var_926_cast_fp16 = leaky_relu(alpha = var_926_alpha_1, x = input_141_cast_fp16)[name = string("op_926_cast_fp16")]; tensor var_930 = const()[name = string("op_930"), val = tensor([1])]; tensor mean_y_57_cast_fp16 = reduce_mean(axes = var_930, keep_dims = var_68, x = var_926_cast_fp16)[name = string("mean_y_57_cast_fp16")]; tensor var_932_cast_fp16 = sub(x = var_926_cast_fp16, y = mean_y_57_cast_fp16)[name = string("op_932_cast_fp16")]; tensor var_933_cast_fp16 = square(x = var_932_cast_fp16); tensor var_934 = const()[name = string("op_934"), val = tensor([1])]; tensor var_935_cast_fp16 = reduce_mean(axes = var_934, keep_dims = var_68, x = var_933_cast_fp16)[name = string("op_935_cast_fp16")]; fp16 var_936_to_fp16 = const()[name = string("op_936_to_fp16"), val = fp16(0x1p-14)]; tensor var_937_cast_fp16 = add(x = var_935_cast_fp16, y = var_936_to_fp16)[name = string("op_937_cast_fp16")]; tensor std_y_57_cast_fp16 = sqrt(x = var_937_cast_fp16)[name = string("std_y_57_cast_fp16")]; tensor sep_module_13_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_13_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(637376)))]; tensor var_940_cast_fp16 = mul(x = sep_module_13_tcn_6_norm_gamma_to_fp16, y = var_932_cast_fp16)[name = string("op_940_cast_fp16")]; tensor var_941_cast_fp16 = real_div(x = var_940_cast_fp16, y = std_y_57_cast_fp16)[name = string("op_941_cast_fp16")]; tensor sep_module_13_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_13_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(637696)))]; tensor y_28_cast_fp16 = add(x = var_941_cast_fp16, y = sep_module_13_tcn_6_norm_beta_to_fp16)[name = string("y_28_cast_fp16")]; tensor input_143_cast_fp16 = add(x = input_133_cast_fp16, y = y_28_cast_fp16)[name = string("input_143_cast_fp16")]; tensor var_952 = const()[name = string("op_952"), val = tensor([1])]; tensor var_954 = const()[name = string("op_954"), val = tensor([1])]; string input_145_pad_type_0 = const()[name = string("input_145_pad_type_0"), val = string("custom")]; tensor input_145_pad_0 = const()[name = string("input_145_pad_0"), val = tensor([0, 0])]; tensor sep_module_14_tcn_0_weight_to_fp16 = const()[name = string("sep_module_14_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(638016)))]; tensor input_145_cast_fp16 = conv(dilations = var_954, groups = var_64, pad = input_145_pad_0, pad_type = input_145_pad_type_0, strides = var_952, weight = sep_module_14_tcn_0_weight_to_fp16, x = input_143_cast_fp16)[name = string("input_145_cast_fp16")]; fp32 var_958_alpha_1 = const()[name = string("op_958_alpha_1"), val = fp32(0x1.c8577ap-2)]; tensor var_958_cast_fp16 = leaky_relu(alpha = var_958_alpha_1, x = input_145_cast_fp16)[name = string("op_958_cast_fp16")]; tensor var_962 = const()[name = string("op_962"), val = tensor([1])]; tensor mean_y_59_cast_fp16 = reduce_mean(axes = var_962, keep_dims = var_68, x = var_958_cast_fp16)[name = string("mean_y_59_cast_fp16")]; tensor var_964_cast_fp16 = sub(x = var_958_cast_fp16, y = mean_y_59_cast_fp16)[name = string("op_964_cast_fp16")]; tensor var_965_cast_fp16 = square(x = var_964_cast_fp16); tensor var_966 = const()[name = string("op_966"), val = tensor([1])]; tensor var_967_cast_fp16 = reduce_mean(axes = var_966, keep_dims = var_68, x = var_965_cast_fp16)[name = string("op_967_cast_fp16")]; fp16 var_968_to_fp16 = const()[name = string("op_968_to_fp16"), val = fp16(0x1p-14)]; tensor var_969_cast_fp16 = add(x = var_967_cast_fp16, y = var_968_to_fp16)[name = string("op_969_cast_fp16")]; tensor std_y_59_cast_fp16 = sqrt(x = var_969_cast_fp16)[name = string("std_y_59_cast_fp16")]; tensor sep_module_14_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_14_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(670848)))]; tensor var_972_cast_fp16 = mul(x = sep_module_14_tcn_2_norm_gamma_to_fp16, y = var_964_cast_fp16)[name = string("op_972_cast_fp16")]; tensor var_973_cast_fp16 = real_div(x = var_972_cast_fp16, y = std_y_59_cast_fp16)[name = string("op_973_cast_fp16")]; tensor sep_module_14_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_14_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(671168)))]; tensor input_147_cast_fp16 = add(x = var_973_cast_fp16, y = sep_module_14_tcn_2_norm_beta_to_fp16)[name = string("input_147_cast_fp16")]; tensor input_149_pad_0 = const()[name = string("input_149_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_149_mode_0 = const()[name = string("input_149_mode_0"), val = string("constant")]; fp16 const_14_to_fp16 = const()[name = string("const_14_to_fp16"), val = fp16(0x0p+0)]; tensor input_149_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_147_cast_fp16_in_state, input_147_cast_fp16)); tensor input_147_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_149_cast_fp16); tensor var_978 = const()[name = string("op_978"), val = tensor([1])]; tensor var_980 = const()[name = string("op_980"), val = tensor([4])]; string input_151_pad_type_0 = const()[name = string("input_151_pad_type_0"), val = string("custom")]; tensor input_151_pad_0 = const()[name = string("input_151_pad_0"), val = tensor([0, 0])]; tensor sep_module_14_tcn_4_weight_to_fp16 = const()[name = string("sep_module_14_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(671488)))]; tensor input_151_cast_fp16 = conv(dilations = var_980, groups = var_65, pad = input_151_pad_0, pad_type = input_151_pad_type_0, strides = var_978, weight = sep_module_14_tcn_4_weight_to_fp16, x = input_149_cast_fp16)[name = string("input_151_cast_fp16")]; fp32 var_984_alpha_1 = const()[name = string("op_984_alpha_1"), val = fp32(-0x1.244c42p-3)]; tensor var_984_cast_fp16 = leaky_relu(alpha = var_984_alpha_1, x = input_151_cast_fp16)[name = string("op_984_cast_fp16")]; tensor var_988 = const()[name = string("op_988"), val = tensor([1])]; tensor mean_y_61_cast_fp16 = reduce_mean(axes = var_988, keep_dims = var_68, x = var_984_cast_fp16)[name = string("mean_y_61_cast_fp16")]; tensor var_990_cast_fp16 = sub(x = var_984_cast_fp16, y = mean_y_61_cast_fp16)[name = string("op_990_cast_fp16")]; tensor var_991_cast_fp16 = square(x = var_990_cast_fp16); tensor var_992 = const()[name = string("op_992"), val = tensor([1])]; tensor var_993_cast_fp16 = reduce_mean(axes = var_992, keep_dims = var_68, x = var_991_cast_fp16)[name = string("op_993_cast_fp16")]; fp16 var_994_to_fp16 = const()[name = string("op_994_to_fp16"), val = fp16(0x1p-14)]; tensor var_995_cast_fp16 = add(x = var_993_cast_fp16, y = var_994_to_fp16)[name = string("op_995_cast_fp16")]; tensor std_y_61_cast_fp16 = sqrt(x = var_995_cast_fp16)[name = string("std_y_61_cast_fp16")]; tensor sep_module_14_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_14_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(672320)))]; tensor var_998_cast_fp16 = mul(x = sep_module_14_tcn_6_norm_gamma_to_fp16, y = var_990_cast_fp16)[name = string("op_998_cast_fp16")]; tensor var_999_cast_fp16 = real_div(x = var_998_cast_fp16, y = std_y_61_cast_fp16)[name = string("op_999_cast_fp16")]; tensor sep_module_14_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_14_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(672640)))]; tensor y_30_cast_fp16 = add(x = var_999_cast_fp16, y = sep_module_14_tcn_6_norm_beta_to_fp16)[name = string("y_30_cast_fp16")]; tensor input_153_cast_fp16 = add(x = input_143_cast_fp16, y = y_30_cast_fp16)[name = string("input_153_cast_fp16")]; tensor var_1010 = const()[name = string("op_1010"), val = tensor([1])]; tensor var_1012 = const()[name = string("op_1012"), val = tensor([1])]; string input_155_pad_type_0 = const()[name = string("input_155_pad_type_0"), val = string("custom")]; tensor input_155_pad_0 = const()[name = string("input_155_pad_0"), val = tensor([0, 0])]; tensor sep_module_15_tcn_0_weight_to_fp16 = const()[name = string("sep_module_15_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(672960)))]; tensor input_155_cast_fp16 = conv(dilations = var_1012, groups = var_64, pad = input_155_pad_0, pad_type = input_155_pad_type_0, strides = var_1010, weight = sep_module_15_tcn_0_weight_to_fp16, x = input_153_cast_fp16)[name = string("input_155_cast_fp16")]; fp32 var_1016_alpha_1 = const()[name = string("op_1016_alpha_1"), val = fp32(0x1.11004cp-1)]; tensor var_1016_cast_fp16 = leaky_relu(alpha = var_1016_alpha_1, x = input_155_cast_fp16)[name = string("op_1016_cast_fp16")]; tensor var_1020 = const()[name = string("op_1020"), val = tensor([1])]; tensor mean_y_63_cast_fp16 = reduce_mean(axes = var_1020, keep_dims = var_68, x = var_1016_cast_fp16)[name = string("mean_y_63_cast_fp16")]; tensor var_1022_cast_fp16 = sub(x = var_1016_cast_fp16, y = mean_y_63_cast_fp16)[name = string("op_1022_cast_fp16")]; tensor var_1023_cast_fp16 = square(x = var_1022_cast_fp16); tensor var_1024 = const()[name = string("op_1024"), val = tensor([1])]; tensor var_1025_cast_fp16 = reduce_mean(axes = var_1024, keep_dims = var_68, x = var_1023_cast_fp16)[name = string("op_1025_cast_fp16")]; fp16 var_1026_to_fp16 = const()[name = string("op_1026_to_fp16"), val = fp16(0x1p-14)]; tensor var_1027_cast_fp16 = add(x = var_1025_cast_fp16, y = var_1026_to_fp16)[name = string("op_1027_cast_fp16")]; tensor std_y_63_cast_fp16 = sqrt(x = var_1027_cast_fp16)[name = string("std_y_63_cast_fp16")]; tensor sep_module_15_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_15_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(705792)))]; tensor var_1030_cast_fp16 = mul(x = sep_module_15_tcn_2_norm_gamma_to_fp16, y = var_1022_cast_fp16)[name = string("op_1030_cast_fp16")]; tensor var_1031_cast_fp16 = real_div(x = var_1030_cast_fp16, y = std_y_63_cast_fp16)[name = string("op_1031_cast_fp16")]; tensor sep_module_15_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_15_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(706112)))]; tensor input_157_cast_fp16 = add(x = var_1031_cast_fp16, y = sep_module_15_tcn_2_norm_beta_to_fp16)[name = string("input_157_cast_fp16")]; tensor input_159_pad_0 = const()[name = string("input_159_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_159_mode_0 = const()[name = string("input_159_mode_0"), val = string("constant")]; fp16 const_15_to_fp16 = const()[name = string("const_15_to_fp16"), val = fp16(0x0p+0)]; tensor input_159_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_157_cast_fp16_in_state, input_157_cast_fp16)); tensor input_157_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_159_cast_fp16); tensor var_1036 = const()[name = string("op_1036"), val = tensor([1])]; tensor var_1038 = const()[name = string("op_1038"), val = tensor([8])]; string input_161_pad_type_0 = const()[name = string("input_161_pad_type_0"), val = string("custom")]; tensor input_161_pad_0 = const()[name = string("input_161_pad_0"), val = tensor([0, 0])]; tensor sep_module_15_tcn_4_weight_to_fp16 = const()[name = string("sep_module_15_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(706432)))]; tensor input_161_cast_fp16 = conv(dilations = var_1038, groups = var_65, pad = input_161_pad_0, pad_type = input_161_pad_type_0, strides = var_1036, weight = sep_module_15_tcn_4_weight_to_fp16, x = input_159_cast_fp16)[name = string("input_161_cast_fp16")]; fp32 var_1042_alpha_1 = const()[name = string("op_1042_alpha_1"), val = fp32(-0x1.da8e26p-3)]; tensor var_1042_cast_fp16 = leaky_relu(alpha = var_1042_alpha_1, x = input_161_cast_fp16)[name = string("op_1042_cast_fp16")]; tensor var_1046 = const()[name = string("op_1046"), val = tensor([1])]; tensor mean_y_65_cast_fp16 = reduce_mean(axes = var_1046, keep_dims = var_68, x = var_1042_cast_fp16)[name = string("mean_y_65_cast_fp16")]; tensor var_1048_cast_fp16 = sub(x = var_1042_cast_fp16, y = mean_y_65_cast_fp16)[name = string("op_1048_cast_fp16")]; tensor var_1049_cast_fp16 = square(x = var_1048_cast_fp16); tensor var_1050 = const()[name = string("op_1050"), val = tensor([1])]; tensor var_1051_cast_fp16 = reduce_mean(axes = var_1050, keep_dims = var_68, x = var_1049_cast_fp16)[name = string("op_1051_cast_fp16")]; fp16 var_1052_to_fp16 = const()[name = string("op_1052_to_fp16"), val = fp16(0x1p-14)]; tensor var_1053_cast_fp16 = add(x = var_1051_cast_fp16, y = var_1052_to_fp16)[name = string("op_1053_cast_fp16")]; tensor std_y_65_cast_fp16 = sqrt(x = var_1053_cast_fp16)[name = string("std_y_65_cast_fp16")]; tensor sep_module_15_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_15_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(707264)))]; tensor var_1056_cast_fp16 = mul(x = sep_module_15_tcn_6_norm_gamma_to_fp16, y = var_1048_cast_fp16)[name = string("op_1056_cast_fp16")]; tensor var_1057_cast_fp16 = real_div(x = var_1056_cast_fp16, y = std_y_65_cast_fp16)[name = string("op_1057_cast_fp16")]; tensor sep_module_15_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_15_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(707584)))]; tensor y_32_cast_fp16 = add(x = var_1057_cast_fp16, y = sep_module_15_tcn_6_norm_beta_to_fp16)[name = string("y_32_cast_fp16")]; tensor input_163_cast_fp16 = add(x = input_153_cast_fp16, y = y_32_cast_fp16)[name = string("input_163_cast_fp16")]; tensor var_1068 = const()[name = string("op_1068"), val = tensor([1])]; tensor var_1070 = const()[name = string("op_1070"), val = tensor([1])]; string input_165_pad_type_0 = const()[name = string("input_165_pad_type_0"), val = string("custom")]; tensor input_165_pad_0 = const()[name = string("input_165_pad_0"), val = tensor([0, 0])]; tensor sep_module_16_tcn_0_weight_to_fp16 = const()[name = string("sep_module_16_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(707904)))]; tensor input_165_cast_fp16 = conv(dilations = var_1070, groups = var_64, pad = input_165_pad_0, pad_type = input_165_pad_type_0, strides = var_1068, weight = sep_module_16_tcn_0_weight_to_fp16, x = input_163_cast_fp16)[name = string("input_165_cast_fp16")]; fp32 var_1074_alpha_1 = const()[name = string("op_1074_alpha_1"), val = fp32(0x1.8a0bb2p-1)]; tensor var_1074_cast_fp16 = leaky_relu(alpha = var_1074_alpha_1, x = input_165_cast_fp16)[name = string("op_1074_cast_fp16")]; tensor var_1078 = const()[name = string("op_1078"), val = tensor([1])]; tensor mean_y_67_cast_fp16 = reduce_mean(axes = var_1078, keep_dims = var_68, x = var_1074_cast_fp16)[name = string("mean_y_67_cast_fp16")]; tensor var_1080_cast_fp16 = sub(x = var_1074_cast_fp16, y = mean_y_67_cast_fp16)[name = string("op_1080_cast_fp16")]; tensor var_1081_cast_fp16 = square(x = var_1080_cast_fp16); tensor var_1082 = const()[name = string("op_1082"), val = tensor([1])]; tensor var_1083_cast_fp16 = reduce_mean(axes = var_1082, keep_dims = var_68, x = var_1081_cast_fp16)[name = string("op_1083_cast_fp16")]; fp16 var_1084_to_fp16 = const()[name = string("op_1084_to_fp16"), val = fp16(0x1p-14)]; tensor var_1085_cast_fp16 = add(x = var_1083_cast_fp16, y = var_1084_to_fp16)[name = string("op_1085_cast_fp16")]; tensor std_y_67_cast_fp16 = sqrt(x = var_1085_cast_fp16)[name = string("std_y_67_cast_fp16")]; tensor sep_module_16_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_16_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(740736)))]; tensor var_1088_cast_fp16 = mul(x = sep_module_16_tcn_2_norm_gamma_to_fp16, y = var_1080_cast_fp16)[name = string("op_1088_cast_fp16")]; tensor var_1089_cast_fp16 = real_div(x = var_1088_cast_fp16, y = std_y_67_cast_fp16)[name = string("op_1089_cast_fp16")]; tensor sep_module_16_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_16_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(741056)))]; tensor input_167_cast_fp16 = add(x = var_1089_cast_fp16, y = sep_module_16_tcn_2_norm_beta_to_fp16)[name = string("input_167_cast_fp16")]; tensor input_169_pad_0 = const()[name = string("input_169_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_169_mode_0 = const()[name = string("input_169_mode_0"), val = string("constant")]; fp16 const_16_to_fp16 = const()[name = string("const_16_to_fp16"), val = fp16(0x0p+0)]; tensor input_169_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_167_cast_fp16_in_state, input_167_cast_fp16)); tensor input_167_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_169_cast_fp16); tensor var_1094 = const()[name = string("op_1094"), val = tensor([1])]; tensor var_1096 = const()[name = string("op_1096"), val = tensor([16])]; string input_171_pad_type_0 = const()[name = string("input_171_pad_type_0"), val = string("custom")]; tensor input_171_pad_0 = const()[name = string("input_171_pad_0"), val = tensor([0, 0])]; tensor sep_module_16_tcn_4_weight_to_fp16 = const()[name = string("sep_module_16_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(741376)))]; tensor input_171_cast_fp16 = conv(dilations = var_1096, groups = var_65, pad = input_171_pad_0, pad_type = input_171_pad_type_0, strides = var_1094, weight = sep_module_16_tcn_4_weight_to_fp16, x = input_169_cast_fp16)[name = string("input_171_cast_fp16")]; fp32 var_1100_alpha_1 = const()[name = string("op_1100_alpha_1"), val = fp32(-0x1.81905ap-5)]; tensor var_1100_cast_fp16 = leaky_relu(alpha = var_1100_alpha_1, x = input_171_cast_fp16)[name = string("op_1100_cast_fp16")]; tensor var_1104 = const()[name = string("op_1104"), val = tensor([1])]; tensor mean_y_69_cast_fp16 = reduce_mean(axes = var_1104, keep_dims = var_68, x = var_1100_cast_fp16)[name = string("mean_y_69_cast_fp16")]; tensor var_1106_cast_fp16 = sub(x = var_1100_cast_fp16, y = mean_y_69_cast_fp16)[name = string("op_1106_cast_fp16")]; tensor var_1107_cast_fp16 = square(x = var_1106_cast_fp16); tensor var_1108 = const()[name = string("op_1108"), val = tensor([1])]; tensor var_1109_cast_fp16 = reduce_mean(axes = var_1108, keep_dims = var_68, x = var_1107_cast_fp16)[name = string("op_1109_cast_fp16")]; fp16 var_1110_to_fp16 = const()[name = string("op_1110_to_fp16"), val = fp16(0x1p-14)]; tensor var_1111_cast_fp16 = add(x = var_1109_cast_fp16, y = var_1110_to_fp16)[name = string("op_1111_cast_fp16")]; tensor std_y_69_cast_fp16 = sqrt(x = var_1111_cast_fp16)[name = string("std_y_69_cast_fp16")]; tensor sep_module_16_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_16_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(742208)))]; tensor var_1114_cast_fp16 = mul(x = sep_module_16_tcn_6_norm_gamma_to_fp16, y = var_1106_cast_fp16)[name = string("op_1114_cast_fp16")]; tensor var_1115_cast_fp16 = real_div(x = var_1114_cast_fp16, y = std_y_69_cast_fp16)[name = string("op_1115_cast_fp16")]; tensor sep_module_16_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_16_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(742528)))]; tensor y_34_cast_fp16 = add(x = var_1115_cast_fp16, y = sep_module_16_tcn_6_norm_beta_to_fp16)[name = string("y_34_cast_fp16")]; tensor input_173_cast_fp16 = add(x = input_163_cast_fp16, y = y_34_cast_fp16)[name = string("input_173_cast_fp16")]; tensor var_1126 = const()[name = string("op_1126"), val = tensor([1])]; tensor var_1128 = const()[name = string("op_1128"), val = tensor([1])]; string input_175_pad_type_0 = const()[name = string("input_175_pad_type_0"), val = string("custom")]; tensor input_175_pad_0 = const()[name = string("input_175_pad_0"), val = tensor([0, 0])]; tensor sep_module_17_tcn_0_weight_to_fp16 = const()[name = string("sep_module_17_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(742848)))]; tensor input_175_cast_fp16 = conv(dilations = var_1128, groups = var_64, pad = input_175_pad_0, pad_type = input_175_pad_type_0, strides = var_1126, weight = sep_module_17_tcn_0_weight_to_fp16, x = input_173_cast_fp16)[name = string("input_175_cast_fp16")]; fp32 var_1132_alpha_1 = const()[name = string("op_1132_alpha_1"), val = fp32(0x1.b891e6p-1)]; tensor var_1132_cast_fp16 = leaky_relu(alpha = var_1132_alpha_1, x = input_175_cast_fp16)[name = string("op_1132_cast_fp16")]; tensor var_1136 = const()[name = string("op_1136"), val = tensor([1])]; tensor mean_y_71_cast_fp16 = reduce_mean(axes = var_1136, keep_dims = var_68, x = var_1132_cast_fp16)[name = string("mean_y_71_cast_fp16")]; tensor var_1138_cast_fp16 = sub(x = var_1132_cast_fp16, y = mean_y_71_cast_fp16)[name = string("op_1138_cast_fp16")]; tensor var_1139_cast_fp16 = square(x = var_1138_cast_fp16); tensor var_1140 = const()[name = string("op_1140"), val = tensor([1])]; tensor var_1141_cast_fp16 = reduce_mean(axes = var_1140, keep_dims = var_68, x = var_1139_cast_fp16)[name = string("op_1141_cast_fp16")]; fp16 var_1142_to_fp16 = const()[name = string("op_1142_to_fp16"), val = fp16(0x1p-14)]; tensor var_1143_cast_fp16 = add(x = var_1141_cast_fp16, y = var_1142_to_fp16)[name = string("op_1143_cast_fp16")]; tensor std_y_71_cast_fp16 = sqrt(x = var_1143_cast_fp16)[name = string("std_y_71_cast_fp16")]; tensor sep_module_17_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_17_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(775680)))]; tensor var_1146_cast_fp16 = mul(x = sep_module_17_tcn_2_norm_gamma_to_fp16, y = var_1138_cast_fp16)[name = string("op_1146_cast_fp16")]; tensor var_1147_cast_fp16 = real_div(x = var_1146_cast_fp16, y = std_y_71_cast_fp16)[name = string("op_1147_cast_fp16")]; tensor sep_module_17_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_17_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(776000)))]; tensor input_177_cast_fp16 = add(x = var_1147_cast_fp16, y = sep_module_17_tcn_2_norm_beta_to_fp16)[name = string("input_177_cast_fp16")]; tensor input_179_pad_0 = const()[name = string("input_179_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_179_mode_0 = const()[name = string("input_179_mode_0"), val = string("constant")]; fp16 const_17_to_fp16 = const()[name = string("const_17_to_fp16"), val = fp16(0x0p+0)]; tensor input_179_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_177_cast_fp16_in_state, input_177_cast_fp16)); tensor input_177_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_179_cast_fp16); tensor var_1152 = const()[name = string("op_1152"), val = tensor([1])]; tensor var_1154 = const()[name = string("op_1154"), val = tensor([32])]; string input_181_pad_type_0 = const()[name = string("input_181_pad_type_0"), val = string("custom")]; tensor input_181_pad_0 = const()[name = string("input_181_pad_0"), val = tensor([0, 0])]; tensor sep_module_17_tcn_4_weight_to_fp16 = const()[name = string("sep_module_17_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(776320)))]; tensor input_181_cast_fp16 = conv(dilations = var_1154, groups = var_65, pad = input_181_pad_0, pad_type = input_181_pad_type_0, strides = var_1152, weight = sep_module_17_tcn_4_weight_to_fp16, x = input_179_cast_fp16)[name = string("input_181_cast_fp16")]; fp32 var_1158_alpha_1 = const()[name = string("op_1158_alpha_1"), val = fp32(0x1.5962dp-1)]; tensor var_1158_cast_fp16 = leaky_relu(alpha = var_1158_alpha_1, x = input_181_cast_fp16)[name = string("op_1158_cast_fp16")]; tensor var_1162 = const()[name = string("op_1162"), val = tensor([1])]; tensor mean_y_73_cast_fp16 = reduce_mean(axes = var_1162, keep_dims = var_68, x = var_1158_cast_fp16)[name = string("mean_y_73_cast_fp16")]; tensor var_1164_cast_fp16 = sub(x = var_1158_cast_fp16, y = mean_y_73_cast_fp16)[name = string("op_1164_cast_fp16")]; tensor var_1165_cast_fp16 = square(x = var_1164_cast_fp16); tensor var_1166 = const()[name = string("op_1166"), val = tensor([1])]; tensor var_1167_cast_fp16 = reduce_mean(axes = var_1166, keep_dims = var_68, x = var_1165_cast_fp16)[name = string("op_1167_cast_fp16")]; fp16 var_1168_to_fp16 = const()[name = string("op_1168_to_fp16"), val = fp16(0x1p-14)]; tensor var_1169_cast_fp16 = add(x = var_1167_cast_fp16, y = var_1168_to_fp16)[name = string("op_1169_cast_fp16")]; tensor std_y_73_cast_fp16 = sqrt(x = var_1169_cast_fp16)[name = string("std_y_73_cast_fp16")]; tensor sep_module_17_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_17_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(777152)))]; tensor var_1172_cast_fp16 = mul(x = sep_module_17_tcn_6_norm_gamma_to_fp16, y = var_1164_cast_fp16)[name = string("op_1172_cast_fp16")]; tensor var_1173_cast_fp16 = real_div(x = var_1172_cast_fp16, y = std_y_73_cast_fp16)[name = string("op_1173_cast_fp16")]; tensor sep_module_17_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_17_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(777472)))]; tensor y_36_cast_fp16 = add(x = var_1173_cast_fp16, y = sep_module_17_tcn_6_norm_beta_to_fp16)[name = string("y_36_cast_fp16")]; tensor input_183_cast_fp16 = add(x = input_173_cast_fp16, y = y_36_cast_fp16)[name = string("input_183_cast_fp16")]; tensor var_1184 = const()[name = string("op_1184"), val = tensor([1])]; tensor var_1186 = const()[name = string("op_1186"), val = tensor([1])]; string input_185_pad_type_0 = const()[name = string("input_185_pad_type_0"), val = string("custom")]; tensor input_185_pad_0 = const()[name = string("input_185_pad_0"), val = tensor([0, 0])]; tensor sep_module_18_tcn_0_weight_to_fp16 = const()[name = string("sep_module_18_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(777792)))]; tensor input_185_cast_fp16 = conv(dilations = var_1186, groups = var_64, pad = input_185_pad_0, pad_type = input_185_pad_type_0, strides = var_1184, weight = sep_module_18_tcn_0_weight_to_fp16, x = input_183_cast_fp16)[name = string("input_185_cast_fp16")]; fp32 var_1190_alpha_1 = const()[name = string("op_1190_alpha_1"), val = fp32(-0x1.b656ap-2)]; tensor var_1190_cast_fp16 = leaky_relu(alpha = var_1190_alpha_1, x = input_185_cast_fp16)[name = string("op_1190_cast_fp16")]; tensor var_1194 = const()[name = string("op_1194"), val = tensor([1])]; tensor mean_y_75_cast_fp16 = reduce_mean(axes = var_1194, keep_dims = var_68, x = var_1190_cast_fp16)[name = string("mean_y_75_cast_fp16")]; tensor var_1196_cast_fp16 = sub(x = var_1190_cast_fp16, y = mean_y_75_cast_fp16)[name = string("op_1196_cast_fp16")]; tensor var_1197_cast_fp16 = square(x = var_1196_cast_fp16); tensor var_1198 = const()[name = string("op_1198"), val = tensor([1])]; tensor var_1199_cast_fp16 = reduce_mean(axes = var_1198, keep_dims = var_68, x = var_1197_cast_fp16)[name = string("op_1199_cast_fp16")]; fp16 var_1200_to_fp16 = const()[name = string("op_1200_to_fp16"), val = fp16(0x1p-14)]; tensor var_1201_cast_fp16 = add(x = var_1199_cast_fp16, y = var_1200_to_fp16)[name = string("op_1201_cast_fp16")]; tensor std_y_75_cast_fp16 = sqrt(x = var_1201_cast_fp16)[name = string("std_y_75_cast_fp16")]; tensor sep_module_18_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_18_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(810624)))]; tensor var_1204_cast_fp16 = mul(x = sep_module_18_tcn_2_norm_gamma_to_fp16, y = var_1196_cast_fp16)[name = string("op_1204_cast_fp16")]; tensor var_1205_cast_fp16 = real_div(x = var_1204_cast_fp16, y = std_y_75_cast_fp16)[name = string("op_1205_cast_fp16")]; tensor sep_module_18_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_18_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(810944)))]; tensor input_187_cast_fp16 = add(x = var_1205_cast_fp16, y = sep_module_18_tcn_2_norm_beta_to_fp16)[name = string("input_187_cast_fp16")]; tensor input_189_pad_0 = const()[name = string("input_189_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_189_mode_0 = const()[name = string("input_189_mode_0"), val = string("constant")]; fp16 const_18_to_fp16 = const()[name = string("const_18_to_fp16"), val = fp16(0x0p+0)]; tensor input_189_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_187_cast_fp16_in_state, input_187_cast_fp16)); tensor input_187_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_189_cast_fp16); tensor var_1210 = const()[name = string("op_1210"), val = tensor([1])]; tensor var_1212 = const()[name = string("op_1212"), val = tensor([1])]; string input_191_pad_type_0 = const()[name = string("input_191_pad_type_0"), val = string("custom")]; tensor input_191_pad_0 = const()[name = string("input_191_pad_0"), val = tensor([0, 0])]; tensor sep_module_18_tcn_4_weight_to_fp16 = const()[name = string("sep_module_18_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(811264)))]; tensor input_191_cast_fp16 = conv(dilations = var_1212, groups = var_65, pad = input_191_pad_0, pad_type = input_191_pad_type_0, strides = var_1210, weight = sep_module_18_tcn_4_weight_to_fp16, x = input_189_cast_fp16)[name = string("input_191_cast_fp16")]; fp32 var_1216_alpha_1 = const()[name = string("op_1216_alpha_1"), val = fp32(0x1.b3187ep-1)]; tensor var_1216_cast_fp16 = leaky_relu(alpha = var_1216_alpha_1, x = input_191_cast_fp16)[name = string("op_1216_cast_fp16")]; tensor var_1220 = const()[name = string("op_1220"), val = tensor([1])]; tensor mean_y_77_cast_fp16 = reduce_mean(axes = var_1220, keep_dims = var_68, x = var_1216_cast_fp16)[name = string("mean_y_77_cast_fp16")]; tensor var_1222_cast_fp16 = sub(x = var_1216_cast_fp16, y = mean_y_77_cast_fp16)[name = string("op_1222_cast_fp16")]; tensor var_1223_cast_fp16 = square(x = var_1222_cast_fp16); tensor var_1224 = const()[name = string("op_1224"), val = tensor([1])]; tensor var_1225_cast_fp16 = reduce_mean(axes = var_1224, keep_dims = var_68, x = var_1223_cast_fp16)[name = string("op_1225_cast_fp16")]; fp16 var_1226_to_fp16 = const()[name = string("op_1226_to_fp16"), val = fp16(0x1p-14)]; tensor var_1227_cast_fp16 = add(x = var_1225_cast_fp16, y = var_1226_to_fp16)[name = string("op_1227_cast_fp16")]; tensor std_y_77_cast_fp16 = sqrt(x = var_1227_cast_fp16)[name = string("std_y_77_cast_fp16")]; tensor sep_module_18_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_18_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(812096)))]; tensor var_1230_cast_fp16 = mul(x = sep_module_18_tcn_6_norm_gamma_to_fp16, y = var_1222_cast_fp16)[name = string("op_1230_cast_fp16")]; tensor var_1231_cast_fp16 = real_div(x = var_1230_cast_fp16, y = std_y_77_cast_fp16)[name = string("op_1231_cast_fp16")]; tensor sep_module_18_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_18_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(812416)))]; tensor y_38_cast_fp16 = add(x = var_1231_cast_fp16, y = sep_module_18_tcn_6_norm_beta_to_fp16)[name = string("y_38_cast_fp16")]; tensor input_193_cast_fp16 = add(x = input_183_cast_fp16, y = y_38_cast_fp16)[name = string("input_193_cast_fp16")]; tensor var_1242 = const()[name = string("op_1242"), val = tensor([1])]; tensor var_1244 = const()[name = string("op_1244"), val = tensor([1])]; string input_195_pad_type_0 = const()[name = string("input_195_pad_type_0"), val = string("custom")]; tensor input_195_pad_0 = const()[name = string("input_195_pad_0"), val = tensor([0, 0])]; tensor sep_module_19_tcn_0_weight_to_fp16 = const()[name = string("sep_module_19_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(812736)))]; tensor input_195_cast_fp16 = conv(dilations = var_1244, groups = var_64, pad = input_195_pad_0, pad_type = input_195_pad_type_0, strides = var_1242, weight = sep_module_19_tcn_0_weight_to_fp16, x = input_193_cast_fp16)[name = string("input_195_cast_fp16")]; fp32 var_1248_alpha_1 = const()[name = string("op_1248_alpha_1"), val = fp32(0x1.828ca2p-1)]; tensor var_1248_cast_fp16 = leaky_relu(alpha = var_1248_alpha_1, x = input_195_cast_fp16)[name = string("op_1248_cast_fp16")]; tensor var_1252 = const()[name = string("op_1252"), val = tensor([1])]; tensor mean_y_79_cast_fp16 = reduce_mean(axes = var_1252, keep_dims = var_68, x = var_1248_cast_fp16)[name = string("mean_y_79_cast_fp16")]; tensor var_1254_cast_fp16 = sub(x = var_1248_cast_fp16, y = mean_y_79_cast_fp16)[name = string("op_1254_cast_fp16")]; tensor var_1255_cast_fp16 = square(x = var_1254_cast_fp16); tensor var_1256 = const()[name = string("op_1256"), val = tensor([1])]; tensor var_1257_cast_fp16 = reduce_mean(axes = var_1256, keep_dims = var_68, x = var_1255_cast_fp16)[name = string("op_1257_cast_fp16")]; fp16 var_1258_to_fp16 = const()[name = string("op_1258_to_fp16"), val = fp16(0x1p-14)]; tensor var_1259_cast_fp16 = add(x = var_1257_cast_fp16, y = var_1258_to_fp16)[name = string("op_1259_cast_fp16")]; tensor std_y_79_cast_fp16 = sqrt(x = var_1259_cast_fp16)[name = string("std_y_79_cast_fp16")]; tensor sep_module_19_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_19_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(845568)))]; tensor var_1262_cast_fp16 = mul(x = sep_module_19_tcn_2_norm_gamma_to_fp16, y = var_1254_cast_fp16)[name = string("op_1262_cast_fp16")]; tensor var_1263_cast_fp16 = real_div(x = var_1262_cast_fp16, y = std_y_79_cast_fp16)[name = string("op_1263_cast_fp16")]; tensor sep_module_19_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_19_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(845888)))]; tensor input_197_cast_fp16 = add(x = var_1263_cast_fp16, y = sep_module_19_tcn_2_norm_beta_to_fp16)[name = string("input_197_cast_fp16")]; tensor input_199_pad_0 = const()[name = string("input_199_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_199_mode_0 = const()[name = string("input_199_mode_0"), val = string("constant")]; fp16 const_19_to_fp16 = const()[name = string("const_19_to_fp16"), val = fp16(0x0p+0)]; tensor input_199_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_197_cast_fp16_in_state, input_197_cast_fp16)); tensor input_197_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_199_cast_fp16); tensor var_1268 = const()[name = string("op_1268"), val = tensor([1])]; tensor var_1270 = const()[name = string("op_1270"), val = tensor([2])]; string input_201_pad_type_0 = const()[name = string("input_201_pad_type_0"), val = string("custom")]; tensor input_201_pad_0 = const()[name = string("input_201_pad_0"), val = tensor([0, 0])]; tensor sep_module_19_tcn_4_weight_to_fp16 = const()[name = string("sep_module_19_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(846208)))]; tensor input_201_cast_fp16 = conv(dilations = var_1270, groups = var_65, pad = input_201_pad_0, pad_type = input_201_pad_type_0, strides = var_1268, weight = sep_module_19_tcn_4_weight_to_fp16, x = input_199_cast_fp16)[name = string("input_201_cast_fp16")]; fp32 var_1274_alpha_1 = const()[name = string("op_1274_alpha_1"), val = fp32(-0x1.30ea98p-5)]; tensor var_1274_cast_fp16 = leaky_relu(alpha = var_1274_alpha_1, x = input_201_cast_fp16)[name = string("op_1274_cast_fp16")]; tensor var_1278 = const()[name = string("op_1278"), val = tensor([1])]; tensor mean_y_81_cast_fp16 = reduce_mean(axes = var_1278, keep_dims = var_68, x = var_1274_cast_fp16)[name = string("mean_y_81_cast_fp16")]; tensor var_1280_cast_fp16 = sub(x = var_1274_cast_fp16, y = mean_y_81_cast_fp16)[name = string("op_1280_cast_fp16")]; tensor var_1281_cast_fp16 = square(x = var_1280_cast_fp16); tensor var_1282 = const()[name = string("op_1282"), val = tensor([1])]; tensor var_1283_cast_fp16 = reduce_mean(axes = var_1282, keep_dims = var_68, x = var_1281_cast_fp16)[name = string("op_1283_cast_fp16")]; fp16 var_1284_to_fp16 = const()[name = string("op_1284_to_fp16"), val = fp16(0x1p-14)]; tensor var_1285_cast_fp16 = add(x = var_1283_cast_fp16, y = var_1284_to_fp16)[name = string("op_1285_cast_fp16")]; tensor std_y_81_cast_fp16 = sqrt(x = var_1285_cast_fp16)[name = string("std_y_81_cast_fp16")]; tensor sep_module_19_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_19_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(847040)))]; tensor var_1288_cast_fp16 = mul(x = sep_module_19_tcn_6_norm_gamma_to_fp16, y = var_1280_cast_fp16)[name = string("op_1288_cast_fp16")]; tensor var_1289_cast_fp16 = real_div(x = var_1288_cast_fp16, y = std_y_81_cast_fp16)[name = string("op_1289_cast_fp16")]; tensor sep_module_19_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_19_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(847360)))]; tensor y_40_cast_fp16 = add(x = var_1289_cast_fp16, y = sep_module_19_tcn_6_norm_beta_to_fp16)[name = string("y_40_cast_fp16")]; tensor input_203_cast_fp16 = add(x = input_193_cast_fp16, y = y_40_cast_fp16)[name = string("input_203_cast_fp16")]; tensor var_1300 = const()[name = string("op_1300"), val = tensor([1])]; tensor var_1302 = const()[name = string("op_1302"), val = tensor([1])]; string input_205_pad_type_0 = const()[name = string("input_205_pad_type_0"), val = string("custom")]; tensor input_205_pad_0 = const()[name = string("input_205_pad_0"), val = tensor([0, 0])]; tensor sep_module_20_tcn_0_weight_to_fp16 = const()[name = string("sep_module_20_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(847680)))]; tensor input_205_cast_fp16 = conv(dilations = var_1302, groups = var_64, pad = input_205_pad_0, pad_type = input_205_pad_type_0, strides = var_1300, weight = sep_module_20_tcn_0_weight_to_fp16, x = input_203_cast_fp16)[name = string("input_205_cast_fp16")]; fp32 var_1306_alpha_1 = const()[name = string("op_1306_alpha_1"), val = fp32(-0x1.2e6fdp-1)]; tensor var_1306_cast_fp16 = leaky_relu(alpha = var_1306_alpha_1, x = input_205_cast_fp16)[name = string("op_1306_cast_fp16")]; tensor var_1310 = const()[name = string("op_1310"), val = tensor([1])]; tensor mean_y_83_cast_fp16 = reduce_mean(axes = var_1310, keep_dims = var_68, x = var_1306_cast_fp16)[name = string("mean_y_83_cast_fp16")]; tensor var_1312_cast_fp16 = sub(x = var_1306_cast_fp16, y = mean_y_83_cast_fp16)[name = string("op_1312_cast_fp16")]; tensor var_1313_cast_fp16 = square(x = var_1312_cast_fp16); tensor var_1314 = const()[name = string("op_1314"), val = tensor([1])]; tensor var_1315_cast_fp16 = reduce_mean(axes = var_1314, keep_dims = var_68, x = var_1313_cast_fp16)[name = string("op_1315_cast_fp16")]; fp16 var_1316_to_fp16 = const()[name = string("op_1316_to_fp16"), val = fp16(0x1p-14)]; tensor var_1317_cast_fp16 = add(x = var_1315_cast_fp16, y = var_1316_to_fp16)[name = string("op_1317_cast_fp16")]; tensor std_y_83_cast_fp16 = sqrt(x = var_1317_cast_fp16)[name = string("std_y_83_cast_fp16")]; tensor sep_module_20_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_20_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(880512)))]; tensor var_1320_cast_fp16 = mul(x = sep_module_20_tcn_2_norm_gamma_to_fp16, y = var_1312_cast_fp16)[name = string("op_1320_cast_fp16")]; tensor var_1321_cast_fp16 = real_div(x = var_1320_cast_fp16, y = std_y_83_cast_fp16)[name = string("op_1321_cast_fp16")]; tensor sep_module_20_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_20_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(880832)))]; tensor input_207_cast_fp16 = add(x = var_1321_cast_fp16, y = sep_module_20_tcn_2_norm_beta_to_fp16)[name = string("input_207_cast_fp16")]; tensor input_209_pad_0 = const()[name = string("input_209_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_209_mode_0 = const()[name = string("input_209_mode_0"), val = string("constant")]; fp16 const_20_to_fp16 = const()[name = string("const_20_to_fp16"), val = fp16(0x0p+0)]; tensor input_209_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_207_cast_fp16_in_state, input_207_cast_fp16)); tensor input_207_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_209_cast_fp16); tensor var_1326 = const()[name = string("op_1326"), val = tensor([1])]; tensor var_1328 = const()[name = string("op_1328"), val = tensor([4])]; string input_211_pad_type_0 = const()[name = string("input_211_pad_type_0"), val = string("custom")]; tensor input_211_pad_0 = const()[name = string("input_211_pad_0"), val = tensor([0, 0])]; tensor sep_module_20_tcn_4_weight_to_fp16 = const()[name = string("sep_module_20_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(881152)))]; tensor input_211_cast_fp16 = conv(dilations = var_1328, groups = var_65, pad = input_211_pad_0, pad_type = input_211_pad_type_0, strides = var_1326, weight = sep_module_20_tcn_4_weight_to_fp16, x = input_209_cast_fp16)[name = string("input_211_cast_fp16")]; fp32 var_1332_alpha_1 = const()[name = string("op_1332_alpha_1"), val = fp32(0x1.74ca0ep-1)]; tensor var_1332_cast_fp16 = leaky_relu(alpha = var_1332_alpha_1, x = input_211_cast_fp16)[name = string("op_1332_cast_fp16")]; tensor var_1336 = const()[name = string("op_1336"), val = tensor([1])]; tensor mean_y_85_cast_fp16 = reduce_mean(axes = var_1336, keep_dims = var_68, x = var_1332_cast_fp16)[name = string("mean_y_85_cast_fp16")]; tensor var_1338_cast_fp16 = sub(x = var_1332_cast_fp16, y = mean_y_85_cast_fp16)[name = string("op_1338_cast_fp16")]; tensor var_1339_cast_fp16 = square(x = var_1338_cast_fp16); tensor var_1340 = const()[name = string("op_1340"), val = tensor([1])]; tensor var_1341_cast_fp16 = reduce_mean(axes = var_1340, keep_dims = var_68, x = var_1339_cast_fp16)[name = string("op_1341_cast_fp16")]; fp16 var_1342_to_fp16 = const()[name = string("op_1342_to_fp16"), val = fp16(0x1p-14)]; tensor var_1343_cast_fp16 = add(x = var_1341_cast_fp16, y = var_1342_to_fp16)[name = string("op_1343_cast_fp16")]; tensor std_y_85_cast_fp16 = sqrt(x = var_1343_cast_fp16)[name = string("std_y_85_cast_fp16")]; tensor sep_module_20_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_20_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(881984)))]; tensor var_1346_cast_fp16 = mul(x = sep_module_20_tcn_6_norm_gamma_to_fp16, y = var_1338_cast_fp16)[name = string("op_1346_cast_fp16")]; tensor var_1347_cast_fp16 = real_div(x = var_1346_cast_fp16, y = std_y_85_cast_fp16)[name = string("op_1347_cast_fp16")]; tensor sep_module_20_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_20_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(882304)))]; tensor y_42_cast_fp16 = add(x = var_1347_cast_fp16, y = sep_module_20_tcn_6_norm_beta_to_fp16)[name = string("y_42_cast_fp16")]; tensor input_213_cast_fp16 = add(x = input_203_cast_fp16, y = y_42_cast_fp16)[name = string("input_213_cast_fp16")]; tensor var_1358 = const()[name = string("op_1358"), val = tensor([1])]; tensor var_1360 = const()[name = string("op_1360"), val = tensor([1])]; string input_215_pad_type_0 = const()[name = string("input_215_pad_type_0"), val = string("custom")]; tensor input_215_pad_0 = const()[name = string("input_215_pad_0"), val = tensor([0, 0])]; tensor sep_module_21_tcn_0_weight_to_fp16 = const()[name = string("sep_module_21_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(882624)))]; tensor input_215_cast_fp16 = conv(dilations = var_1360, groups = var_64, pad = input_215_pad_0, pad_type = input_215_pad_type_0, strides = var_1358, weight = sep_module_21_tcn_0_weight_to_fp16, x = input_213_cast_fp16)[name = string("input_215_cast_fp16")]; fp32 var_1364_alpha_1 = const()[name = string("op_1364_alpha_1"), val = fp32(-0x1.05b1bp-1)]; tensor var_1364_cast_fp16 = leaky_relu(alpha = var_1364_alpha_1, x = input_215_cast_fp16)[name = string("op_1364_cast_fp16")]; tensor var_1368 = const()[name = string("op_1368"), val = tensor([1])]; tensor mean_y_87_cast_fp16 = reduce_mean(axes = var_1368, keep_dims = var_68, x = var_1364_cast_fp16)[name = string("mean_y_87_cast_fp16")]; tensor var_1370_cast_fp16 = sub(x = var_1364_cast_fp16, y = mean_y_87_cast_fp16)[name = string("op_1370_cast_fp16")]; tensor var_1371_cast_fp16 = square(x = var_1370_cast_fp16); tensor var_1372 = const()[name = string("op_1372"), val = tensor([1])]; tensor var_1373_cast_fp16 = reduce_mean(axes = var_1372, keep_dims = var_68, x = var_1371_cast_fp16)[name = string("op_1373_cast_fp16")]; fp16 var_1374_to_fp16 = const()[name = string("op_1374_to_fp16"), val = fp16(0x1p-14)]; tensor var_1375_cast_fp16 = add(x = var_1373_cast_fp16, y = var_1374_to_fp16)[name = string("op_1375_cast_fp16")]; tensor std_y_87_cast_fp16 = sqrt(x = var_1375_cast_fp16)[name = string("std_y_87_cast_fp16")]; tensor sep_module_21_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_21_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(915456)))]; tensor var_1378_cast_fp16 = mul(x = sep_module_21_tcn_2_norm_gamma_to_fp16, y = var_1370_cast_fp16)[name = string("op_1378_cast_fp16")]; tensor var_1379_cast_fp16 = real_div(x = var_1378_cast_fp16, y = std_y_87_cast_fp16)[name = string("op_1379_cast_fp16")]; tensor sep_module_21_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_21_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(915776)))]; tensor input_217_cast_fp16 = add(x = var_1379_cast_fp16, y = sep_module_21_tcn_2_norm_beta_to_fp16)[name = string("input_217_cast_fp16")]; tensor input_219_pad_0 = const()[name = string("input_219_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_219_mode_0 = const()[name = string("input_219_mode_0"), val = string("constant")]; fp16 const_21_to_fp16 = const()[name = string("const_21_to_fp16"), val = fp16(0x0p+0)]; tensor input_219_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_217_cast_fp16_in_state, input_217_cast_fp16)); tensor input_217_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_219_cast_fp16); tensor var_1384 = const()[name = string("op_1384"), val = tensor([1])]; tensor var_1386 = const()[name = string("op_1386"), val = tensor([8])]; string input_221_pad_type_0 = const()[name = string("input_221_pad_type_0"), val = string("custom")]; tensor input_221_pad_0 = const()[name = string("input_221_pad_0"), val = tensor([0, 0])]; tensor sep_module_21_tcn_4_weight_to_fp16 = const()[name = string("sep_module_21_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(916096)))]; tensor input_221_cast_fp16 = conv(dilations = var_1386, groups = var_65, pad = input_221_pad_0, pad_type = input_221_pad_type_0, strides = var_1384, weight = sep_module_21_tcn_4_weight_to_fp16, x = input_219_cast_fp16)[name = string("input_221_cast_fp16")]; fp32 var_1390_alpha_1 = const()[name = string("op_1390_alpha_1"), val = fp32(0x1.8dfecep-1)]; tensor var_1390_cast_fp16 = leaky_relu(alpha = var_1390_alpha_1, x = input_221_cast_fp16)[name = string("op_1390_cast_fp16")]; tensor var_1394 = const()[name = string("op_1394"), val = tensor([1])]; tensor mean_y_89_cast_fp16 = reduce_mean(axes = var_1394, keep_dims = var_68, x = var_1390_cast_fp16)[name = string("mean_y_89_cast_fp16")]; tensor var_1396_cast_fp16 = sub(x = var_1390_cast_fp16, y = mean_y_89_cast_fp16)[name = string("op_1396_cast_fp16")]; tensor var_1397_cast_fp16 = square(x = var_1396_cast_fp16); tensor var_1398 = const()[name = string("op_1398"), val = tensor([1])]; tensor var_1399_cast_fp16 = reduce_mean(axes = var_1398, keep_dims = var_68, x = var_1397_cast_fp16)[name = string("op_1399_cast_fp16")]; fp16 var_1400_to_fp16 = const()[name = string("op_1400_to_fp16"), val = fp16(0x1p-14)]; tensor var_1401_cast_fp16 = add(x = var_1399_cast_fp16, y = var_1400_to_fp16)[name = string("op_1401_cast_fp16")]; tensor std_y_89_cast_fp16 = sqrt(x = var_1401_cast_fp16)[name = string("std_y_89_cast_fp16")]; tensor sep_module_21_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_21_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(916928)))]; tensor var_1404_cast_fp16 = mul(x = sep_module_21_tcn_6_norm_gamma_to_fp16, y = var_1396_cast_fp16)[name = string("op_1404_cast_fp16")]; tensor var_1405_cast_fp16 = real_div(x = var_1404_cast_fp16, y = std_y_89_cast_fp16)[name = string("op_1405_cast_fp16")]; tensor sep_module_21_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_21_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(917248)))]; tensor y_44_cast_fp16 = add(x = var_1405_cast_fp16, y = sep_module_21_tcn_6_norm_beta_to_fp16)[name = string("y_44_cast_fp16")]; tensor input_223_cast_fp16 = add(x = input_213_cast_fp16, y = y_44_cast_fp16)[name = string("input_223_cast_fp16")]; tensor var_1416 = const()[name = string("op_1416"), val = tensor([1])]; tensor var_1418 = const()[name = string("op_1418"), val = tensor([1])]; string input_225_pad_type_0 = const()[name = string("input_225_pad_type_0"), val = string("custom")]; tensor input_225_pad_0 = const()[name = string("input_225_pad_0"), val = tensor([0, 0])]; tensor sep_module_22_tcn_0_weight_to_fp16 = const()[name = string("sep_module_22_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(917568)))]; tensor input_225_cast_fp16 = conv(dilations = var_1418, groups = var_64, pad = input_225_pad_0, pad_type = input_225_pad_type_0, strides = var_1416, weight = sep_module_22_tcn_0_weight_to_fp16, x = input_223_cast_fp16)[name = string("input_225_cast_fp16")]; fp32 var_1422_alpha_1 = const()[name = string("op_1422_alpha_1"), val = fp32(-0x1.6bc5b4p-3)]; tensor var_1422_cast_fp16 = leaky_relu(alpha = var_1422_alpha_1, x = input_225_cast_fp16)[name = string("op_1422_cast_fp16")]; tensor var_1426 = const()[name = string("op_1426"), val = tensor([1])]; tensor mean_y_91_cast_fp16 = reduce_mean(axes = var_1426, keep_dims = var_68, x = var_1422_cast_fp16)[name = string("mean_y_91_cast_fp16")]; tensor var_1428_cast_fp16 = sub(x = var_1422_cast_fp16, y = mean_y_91_cast_fp16)[name = string("op_1428_cast_fp16")]; tensor var_1429_cast_fp16 = square(x = var_1428_cast_fp16); tensor var_1430 = const()[name = string("op_1430"), val = tensor([1])]; tensor var_1431_cast_fp16 = reduce_mean(axes = var_1430, keep_dims = var_68, x = var_1429_cast_fp16)[name = string("op_1431_cast_fp16")]; fp16 var_1432_to_fp16 = const()[name = string("op_1432_to_fp16"), val = fp16(0x1p-14)]; tensor var_1433_cast_fp16 = add(x = var_1431_cast_fp16, y = var_1432_to_fp16)[name = string("op_1433_cast_fp16")]; tensor std_y_91_cast_fp16 = sqrt(x = var_1433_cast_fp16)[name = string("std_y_91_cast_fp16")]; tensor sep_module_22_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_22_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(950400)))]; tensor var_1436_cast_fp16 = mul(x = sep_module_22_tcn_2_norm_gamma_to_fp16, y = var_1428_cast_fp16)[name = string("op_1436_cast_fp16")]; tensor var_1437_cast_fp16 = real_div(x = var_1436_cast_fp16, y = std_y_91_cast_fp16)[name = string("op_1437_cast_fp16")]; tensor sep_module_22_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_22_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(950720)))]; tensor input_227_cast_fp16 = add(x = var_1437_cast_fp16, y = sep_module_22_tcn_2_norm_beta_to_fp16)[name = string("input_227_cast_fp16")]; tensor input_229_pad_0 = const()[name = string("input_229_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_229_mode_0 = const()[name = string("input_229_mode_0"), val = string("constant")]; fp16 const_22_to_fp16 = const()[name = string("const_22_to_fp16"), val = fp16(0x0p+0)]; tensor input_229_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_227_cast_fp16_in_state, input_227_cast_fp16)); tensor input_227_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_229_cast_fp16); tensor var_1442 = const()[name = string("op_1442"), val = tensor([1])]; tensor var_1444 = const()[name = string("op_1444"), val = tensor([16])]; string input_231_pad_type_0 = const()[name = string("input_231_pad_type_0"), val = string("custom")]; tensor input_231_pad_0 = const()[name = string("input_231_pad_0"), val = tensor([0, 0])]; tensor sep_module_22_tcn_4_weight_to_fp16 = const()[name = string("sep_module_22_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(951040)))]; tensor input_231_cast_fp16 = conv(dilations = var_1444, groups = var_65, pad = input_231_pad_0, pad_type = input_231_pad_type_0, strides = var_1442, weight = sep_module_22_tcn_4_weight_to_fp16, x = input_229_cast_fp16)[name = string("input_231_cast_fp16")]; fp32 var_1448_alpha_1 = const()[name = string("op_1448_alpha_1"), val = fp32(0x1.d5e2b6p-1)]; tensor var_1448_cast_fp16 = leaky_relu(alpha = var_1448_alpha_1, x = input_231_cast_fp16)[name = string("op_1448_cast_fp16")]; tensor var_1452 = const()[name = string("op_1452"), val = tensor([1])]; tensor mean_y_93_cast_fp16 = reduce_mean(axes = var_1452, keep_dims = var_68, x = var_1448_cast_fp16)[name = string("mean_y_93_cast_fp16")]; tensor var_1454_cast_fp16 = sub(x = var_1448_cast_fp16, y = mean_y_93_cast_fp16)[name = string("op_1454_cast_fp16")]; tensor var_1455_cast_fp16 = square(x = var_1454_cast_fp16); tensor var_1456 = const()[name = string("op_1456"), val = tensor([1])]; tensor var_1457_cast_fp16 = reduce_mean(axes = var_1456, keep_dims = var_68, x = var_1455_cast_fp16)[name = string("op_1457_cast_fp16")]; fp16 var_1458_to_fp16 = const()[name = string("op_1458_to_fp16"), val = fp16(0x1p-14)]; tensor var_1459_cast_fp16 = add(x = var_1457_cast_fp16, y = var_1458_to_fp16)[name = string("op_1459_cast_fp16")]; tensor std_y_93_cast_fp16 = sqrt(x = var_1459_cast_fp16)[name = string("std_y_93_cast_fp16")]; tensor sep_module_22_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_22_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(951872)))]; tensor var_1462_cast_fp16 = mul(x = sep_module_22_tcn_6_norm_gamma_to_fp16, y = var_1454_cast_fp16)[name = string("op_1462_cast_fp16")]; tensor var_1463_cast_fp16 = real_div(x = var_1462_cast_fp16, y = std_y_93_cast_fp16)[name = string("op_1463_cast_fp16")]; tensor sep_module_22_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_22_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(952192)))]; tensor y_46_cast_fp16 = add(x = var_1463_cast_fp16, y = sep_module_22_tcn_6_norm_beta_to_fp16)[name = string("y_46_cast_fp16")]; tensor input_233_cast_fp16 = add(x = input_223_cast_fp16, y = y_46_cast_fp16)[name = string("input_233_cast_fp16")]; tensor var_1474 = const()[name = string("op_1474"), val = tensor([1])]; tensor var_1476 = const()[name = string("op_1476"), val = tensor([1])]; string input_235_pad_type_0 = const()[name = string("input_235_pad_type_0"), val = string("custom")]; tensor input_235_pad_0 = const()[name = string("input_235_pad_0"), val = tensor([0, 0])]; tensor sep_module_23_tcn_0_weight_to_fp16 = const()[name = string("sep_module_23_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(952512)))]; tensor input_235_cast_fp16 = conv(dilations = var_1476, groups = var_64, pad = input_235_pad_0, pad_type = input_235_pad_type_0, strides = var_1474, weight = sep_module_23_tcn_0_weight_to_fp16, x = input_233_cast_fp16)[name = string("input_235_cast_fp16")]; fp32 var_1480_alpha_1 = const()[name = string("op_1480_alpha_1"), val = fp32(0x1.f2dba8p-1)]; tensor var_1480_cast_fp16 = leaky_relu(alpha = var_1480_alpha_1, x = input_235_cast_fp16)[name = string("op_1480_cast_fp16")]; tensor var_1484 = const()[name = string("op_1484"), val = tensor([1])]; tensor mean_y_95_cast_fp16 = reduce_mean(axes = var_1484, keep_dims = var_68, x = var_1480_cast_fp16)[name = string("mean_y_95_cast_fp16")]; tensor var_1486_cast_fp16 = sub(x = var_1480_cast_fp16, y = mean_y_95_cast_fp16)[name = string("op_1486_cast_fp16")]; tensor var_1487_cast_fp16 = square(x = var_1486_cast_fp16); tensor var_1488 = const()[name = string("op_1488"), val = tensor([1])]; tensor var_1489_cast_fp16 = reduce_mean(axes = var_1488, keep_dims = var_68, x = var_1487_cast_fp16)[name = string("op_1489_cast_fp16")]; fp16 var_1490_to_fp16 = const()[name = string("op_1490_to_fp16"), val = fp16(0x1p-14)]; tensor var_1491_cast_fp16 = add(x = var_1489_cast_fp16, y = var_1490_to_fp16)[name = string("op_1491_cast_fp16")]; tensor std_y_95_cast_fp16 = sqrt(x = var_1491_cast_fp16)[name = string("std_y_95_cast_fp16")]; tensor sep_module_23_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_23_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(985344)))]; tensor var_1494_cast_fp16 = mul(x = sep_module_23_tcn_2_norm_gamma_to_fp16, y = var_1486_cast_fp16)[name = string("op_1494_cast_fp16")]; tensor var_1495_cast_fp16 = real_div(x = var_1494_cast_fp16, y = std_y_95_cast_fp16)[name = string("op_1495_cast_fp16")]; tensor sep_module_23_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_23_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(985664)))]; tensor input_237_cast_fp16 = add(x = var_1495_cast_fp16, y = sep_module_23_tcn_2_norm_beta_to_fp16)[name = string("input_237_cast_fp16")]; tensor input_239_pad_0 = const()[name = string("input_239_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_239_mode_0 = const()[name = string("input_239_mode_0"), val = string("constant")]; fp16 const_23_to_fp16 = const()[name = string("const_23_to_fp16"), val = fp16(0x0p+0)]; tensor input_239_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_237_cast_fp16_in_state, input_237_cast_fp16)); tensor input_237_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_239_cast_fp16); tensor var_1500 = const()[name = string("op_1500"), val = tensor([1])]; tensor var_1502 = const()[name = string("op_1502"), val = tensor([32])]; string input_241_pad_type_0 = const()[name = string("input_241_pad_type_0"), val = string("custom")]; tensor input_241_pad_0 = const()[name = string("input_241_pad_0"), val = tensor([0, 0])]; tensor sep_module_23_tcn_4_weight_to_fp16 = const()[name = string("sep_module_23_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(985984)))]; tensor input_241_cast_fp16 = conv(dilations = var_1502, groups = var_65, pad = input_241_pad_0, pad_type = input_241_pad_type_0, strides = var_1500, weight = sep_module_23_tcn_4_weight_to_fp16, x = input_239_cast_fp16)[name = string("input_241_cast_fp16")]; fp32 var_1506_alpha_1 = const()[name = string("op_1506_alpha_1"), val = fp32(0x1.f9816ep-1)]; tensor var_1506_cast_fp16 = leaky_relu(alpha = var_1506_alpha_1, x = input_241_cast_fp16)[name = string("op_1506_cast_fp16")]; tensor var_1510 = const()[name = string("op_1510"), val = tensor([1])]; tensor mean_y_97_cast_fp16 = reduce_mean(axes = var_1510, keep_dims = var_68, x = var_1506_cast_fp16)[name = string("mean_y_97_cast_fp16")]; tensor var_1512_cast_fp16 = sub(x = var_1506_cast_fp16, y = mean_y_97_cast_fp16)[name = string("op_1512_cast_fp16")]; tensor var_1513_cast_fp16 = square(x = var_1512_cast_fp16); tensor var_1514 = const()[name = string("op_1514"), val = tensor([1])]; tensor var_1515_cast_fp16 = reduce_mean(axes = var_1514, keep_dims = var_68, x = var_1513_cast_fp16)[name = string("op_1515_cast_fp16")]; fp16 var_1516_to_fp16 = const()[name = string("op_1516_to_fp16"), val = fp16(0x1p-14)]; tensor var_1517_cast_fp16 = add(x = var_1515_cast_fp16, y = var_1516_to_fp16)[name = string("op_1517_cast_fp16")]; tensor std_y_97_cast_fp16 = sqrt(x = var_1517_cast_fp16)[name = string("std_y_97_cast_fp16")]; tensor sep_module_23_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_23_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(986816)))]; tensor var_1520_cast_fp16 = mul(x = sep_module_23_tcn_6_norm_gamma_to_fp16, y = var_1512_cast_fp16)[name = string("op_1520_cast_fp16")]; tensor var_1521_cast_fp16 = real_div(x = var_1520_cast_fp16, y = std_y_97_cast_fp16)[name = string("op_1521_cast_fp16")]; tensor sep_module_23_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_23_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(987136)))]; tensor y_48_cast_fp16 = add(x = var_1521_cast_fp16, y = sep_module_23_tcn_6_norm_beta_to_fp16)[name = string("y_48_cast_fp16")]; tensor input_243_cast_fp16 = add(x = input_233_cast_fp16, y = y_48_cast_fp16)[name = string("input_243_cast_fp16")]; tensor var_1532 = const()[name = string("op_1532"), val = tensor([1])]; tensor var_1534 = const()[name = string("op_1534"), val = tensor([1])]; string input_245_pad_type_0 = const()[name = string("input_245_pad_type_0"), val = string("custom")]; tensor input_245_pad_0 = const()[name = string("input_245_pad_0"), val = tensor([0, 0])]; tensor sep_module_24_tcn_0_weight_to_fp16 = const()[name = string("sep_module_24_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(987456)))]; tensor input_245_cast_fp16 = conv(dilations = var_1534, groups = var_64, pad = input_245_pad_0, pad_type = input_245_pad_type_0, strides = var_1532, weight = sep_module_24_tcn_0_weight_to_fp16, x = input_243_cast_fp16)[name = string("input_245_cast_fp16")]; fp32 var_1538_alpha_1 = const()[name = string("op_1538_alpha_1"), val = fp32(-0x1.3a336ep-1)]; tensor var_1538_cast_fp16 = leaky_relu(alpha = var_1538_alpha_1, x = input_245_cast_fp16)[name = string("op_1538_cast_fp16")]; tensor var_1542 = const()[name = string("op_1542"), val = tensor([1])]; tensor mean_y_99_cast_fp16 = reduce_mean(axes = var_1542, keep_dims = var_68, x = var_1538_cast_fp16)[name = string("mean_y_99_cast_fp16")]; tensor var_1544_cast_fp16 = sub(x = var_1538_cast_fp16, y = mean_y_99_cast_fp16)[name = string("op_1544_cast_fp16")]; tensor var_1545_cast_fp16 = square(x = var_1544_cast_fp16); tensor var_1546 = const()[name = string("op_1546"), val = tensor([1])]; tensor var_1547_cast_fp16 = reduce_mean(axes = var_1546, keep_dims = var_68, x = var_1545_cast_fp16)[name = string("op_1547_cast_fp16")]; fp16 var_1548_to_fp16 = const()[name = string("op_1548_to_fp16"), val = fp16(0x1p-14)]; tensor var_1549_cast_fp16 = add(x = var_1547_cast_fp16, y = var_1548_to_fp16)[name = string("op_1549_cast_fp16")]; tensor std_y_99_cast_fp16 = sqrt(x = var_1549_cast_fp16)[name = string("std_y_99_cast_fp16")]; tensor sep_module_24_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_24_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1020288)))]; tensor var_1552_cast_fp16 = mul(x = sep_module_24_tcn_2_norm_gamma_to_fp16, y = var_1544_cast_fp16)[name = string("op_1552_cast_fp16")]; tensor var_1553_cast_fp16 = real_div(x = var_1552_cast_fp16, y = std_y_99_cast_fp16)[name = string("op_1553_cast_fp16")]; tensor sep_module_24_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_24_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1020608)))]; tensor input_247_cast_fp16 = add(x = var_1553_cast_fp16, y = sep_module_24_tcn_2_norm_beta_to_fp16)[name = string("input_247_cast_fp16")]; tensor input_249_pad_0 = const()[name = string("input_249_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_249_mode_0 = const()[name = string("input_249_mode_0"), val = string("constant")]; fp16 const_24_to_fp16 = const()[name = string("const_24_to_fp16"), val = fp16(0x0p+0)]; tensor input_249_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_247_cast_fp16_in_state, input_247_cast_fp16)); tensor input_247_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_249_cast_fp16); tensor var_1558 = const()[name = string("op_1558"), val = tensor([1])]; tensor var_1560 = const()[name = string("op_1560"), val = tensor([1])]; string input_251_pad_type_0 = const()[name = string("input_251_pad_type_0"), val = string("custom")]; tensor input_251_pad_0 = const()[name = string("input_251_pad_0"), val = tensor([0, 0])]; tensor sep_module_24_tcn_4_weight_to_fp16 = const()[name = string("sep_module_24_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1020928)))]; tensor input_251_cast_fp16 = conv(dilations = var_1560, groups = var_65, pad = input_251_pad_0, pad_type = input_251_pad_type_0, strides = var_1558, weight = sep_module_24_tcn_4_weight_to_fp16, x = input_249_cast_fp16)[name = string("input_251_cast_fp16")]; fp32 var_1564_alpha_1 = const()[name = string("op_1564_alpha_1"), val = fp32(0x1.86d8p-1)]; tensor var_1564_cast_fp16 = leaky_relu(alpha = var_1564_alpha_1, x = input_251_cast_fp16)[name = string("op_1564_cast_fp16")]; tensor var_1568 = const()[name = string("op_1568"), val = tensor([1])]; tensor mean_y_101_cast_fp16 = reduce_mean(axes = var_1568, keep_dims = var_68, x = var_1564_cast_fp16)[name = string("mean_y_101_cast_fp16")]; tensor var_1570_cast_fp16 = sub(x = var_1564_cast_fp16, y = mean_y_101_cast_fp16)[name = string("op_1570_cast_fp16")]; tensor var_1571_cast_fp16 = square(x = var_1570_cast_fp16); tensor var_1572 = const()[name = string("op_1572"), val = tensor([1])]; tensor var_1573_cast_fp16 = reduce_mean(axes = var_1572, keep_dims = var_68, x = var_1571_cast_fp16)[name = string("op_1573_cast_fp16")]; fp16 var_1574_to_fp16 = const()[name = string("op_1574_to_fp16"), val = fp16(0x1p-14)]; tensor var_1575_cast_fp16 = add(x = var_1573_cast_fp16, y = var_1574_to_fp16)[name = string("op_1575_cast_fp16")]; tensor std_y_101_cast_fp16 = sqrt(x = var_1575_cast_fp16)[name = string("std_y_101_cast_fp16")]; tensor sep_module_24_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_24_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1021760)))]; tensor var_1578_cast_fp16 = mul(x = sep_module_24_tcn_6_norm_gamma_to_fp16, y = var_1570_cast_fp16)[name = string("op_1578_cast_fp16")]; tensor var_1579_cast_fp16 = real_div(x = var_1578_cast_fp16, y = std_y_101_cast_fp16)[name = string("op_1579_cast_fp16")]; tensor sep_module_24_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_24_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1022080)))]; tensor y_50_cast_fp16 = add(x = var_1579_cast_fp16, y = sep_module_24_tcn_6_norm_beta_to_fp16)[name = string("y_50_cast_fp16")]; tensor input_253_cast_fp16 = add(x = input_243_cast_fp16, y = y_50_cast_fp16)[name = string("input_253_cast_fp16")]; tensor var_1590 = const()[name = string("op_1590"), val = tensor([1])]; tensor var_1592 = const()[name = string("op_1592"), val = tensor([1])]; string input_255_pad_type_0 = const()[name = string("input_255_pad_type_0"), val = string("custom")]; tensor input_255_pad_0 = const()[name = string("input_255_pad_0"), val = tensor([0, 0])]; tensor sep_module_25_tcn_0_weight_to_fp16 = const()[name = string("sep_module_25_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1022400)))]; tensor input_255_cast_fp16 = conv(dilations = var_1592, groups = var_64, pad = input_255_pad_0, pad_type = input_255_pad_type_0, strides = var_1590, weight = sep_module_25_tcn_0_weight_to_fp16, x = input_253_cast_fp16)[name = string("input_255_cast_fp16")]; fp32 var_1596_alpha_1 = const()[name = string("op_1596_alpha_1"), val = fp32(-0x1.72e744p-1)]; tensor var_1596_cast_fp16 = leaky_relu(alpha = var_1596_alpha_1, x = input_255_cast_fp16)[name = string("op_1596_cast_fp16")]; tensor var_1600 = const()[name = string("op_1600"), val = tensor([1])]; tensor mean_y_103_cast_fp16 = reduce_mean(axes = var_1600, keep_dims = var_68, x = var_1596_cast_fp16)[name = string("mean_y_103_cast_fp16")]; tensor var_1602_cast_fp16 = sub(x = var_1596_cast_fp16, y = mean_y_103_cast_fp16)[name = string("op_1602_cast_fp16")]; tensor var_1603_cast_fp16 = square(x = var_1602_cast_fp16); tensor var_1604 = const()[name = string("op_1604"), val = tensor([1])]; tensor var_1605_cast_fp16 = reduce_mean(axes = var_1604, keep_dims = var_68, x = var_1603_cast_fp16)[name = string("op_1605_cast_fp16")]; fp16 var_1606_to_fp16 = const()[name = string("op_1606_to_fp16"), val = fp16(0x1p-14)]; tensor var_1607_cast_fp16 = add(x = var_1605_cast_fp16, y = var_1606_to_fp16)[name = string("op_1607_cast_fp16")]; tensor std_y_103_cast_fp16 = sqrt(x = var_1607_cast_fp16)[name = string("std_y_103_cast_fp16")]; tensor sep_module_25_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_25_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1055232)))]; tensor var_1610_cast_fp16 = mul(x = sep_module_25_tcn_2_norm_gamma_to_fp16, y = var_1602_cast_fp16)[name = string("op_1610_cast_fp16")]; tensor var_1611_cast_fp16 = real_div(x = var_1610_cast_fp16, y = std_y_103_cast_fp16)[name = string("op_1611_cast_fp16")]; tensor sep_module_25_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_25_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1055552)))]; tensor input_257_cast_fp16 = add(x = var_1611_cast_fp16, y = sep_module_25_tcn_2_norm_beta_to_fp16)[name = string("input_257_cast_fp16")]; tensor input_259_pad_0 = const()[name = string("input_259_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_259_mode_0 = const()[name = string("input_259_mode_0"), val = string("constant")]; fp16 const_25_to_fp16 = const()[name = string("const_25_to_fp16"), val = fp16(0x0p+0)]; tensor input_259_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_257_cast_fp16_in_state, input_257_cast_fp16)); tensor input_257_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_259_cast_fp16); tensor var_1616 = const()[name = string("op_1616"), val = tensor([1])]; tensor var_1618 = const()[name = string("op_1618"), val = tensor([2])]; string input_261_pad_type_0 = const()[name = string("input_261_pad_type_0"), val = string("custom")]; tensor input_261_pad_0 = const()[name = string("input_261_pad_0"), val = tensor([0, 0])]; tensor sep_module_25_tcn_4_weight_to_fp16 = const()[name = string("sep_module_25_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1055872)))]; tensor input_261_cast_fp16 = conv(dilations = var_1618, groups = var_65, pad = input_261_pad_0, pad_type = input_261_pad_type_0, strides = var_1616, weight = sep_module_25_tcn_4_weight_to_fp16, x = input_259_cast_fp16)[name = string("input_261_cast_fp16")]; fp32 var_1622_alpha_1 = const()[name = string("op_1622_alpha_1"), val = fp32(0x1.878aeep-1)]; tensor var_1622_cast_fp16 = leaky_relu(alpha = var_1622_alpha_1, x = input_261_cast_fp16)[name = string("op_1622_cast_fp16")]; tensor var_1626 = const()[name = string("op_1626"), val = tensor([1])]; tensor mean_y_105_cast_fp16 = reduce_mean(axes = var_1626, keep_dims = var_68, x = var_1622_cast_fp16)[name = string("mean_y_105_cast_fp16")]; tensor var_1628_cast_fp16 = sub(x = var_1622_cast_fp16, y = mean_y_105_cast_fp16)[name = string("op_1628_cast_fp16")]; tensor var_1629_cast_fp16 = square(x = var_1628_cast_fp16); tensor var_1630 = const()[name = string("op_1630"), val = tensor([1])]; tensor var_1631_cast_fp16 = reduce_mean(axes = var_1630, keep_dims = var_68, x = var_1629_cast_fp16)[name = string("op_1631_cast_fp16")]; fp16 var_1632_to_fp16 = const()[name = string("op_1632_to_fp16"), val = fp16(0x1p-14)]; tensor var_1633_cast_fp16 = add(x = var_1631_cast_fp16, y = var_1632_to_fp16)[name = string("op_1633_cast_fp16")]; tensor std_y_105_cast_fp16 = sqrt(x = var_1633_cast_fp16)[name = string("std_y_105_cast_fp16")]; tensor sep_module_25_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_25_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1056704)))]; tensor var_1636_cast_fp16 = mul(x = sep_module_25_tcn_6_norm_gamma_to_fp16, y = var_1628_cast_fp16)[name = string("op_1636_cast_fp16")]; tensor var_1637_cast_fp16 = real_div(x = var_1636_cast_fp16, y = std_y_105_cast_fp16)[name = string("op_1637_cast_fp16")]; tensor sep_module_25_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_25_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1057024)))]; tensor y_52_cast_fp16 = add(x = var_1637_cast_fp16, y = sep_module_25_tcn_6_norm_beta_to_fp16)[name = string("y_52_cast_fp16")]; tensor input_263_cast_fp16 = add(x = input_253_cast_fp16, y = y_52_cast_fp16)[name = string("input_263_cast_fp16")]; tensor var_1648 = const()[name = string("op_1648"), val = tensor([1])]; tensor var_1650 = const()[name = string("op_1650"), val = tensor([1])]; string input_265_pad_type_0 = const()[name = string("input_265_pad_type_0"), val = string("custom")]; tensor input_265_pad_0 = const()[name = string("input_265_pad_0"), val = tensor([0, 0])]; tensor sep_module_26_tcn_0_weight_to_fp16 = const()[name = string("sep_module_26_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1057344)))]; tensor input_265_cast_fp16 = conv(dilations = var_1650, groups = var_64, pad = input_265_pad_0, pad_type = input_265_pad_type_0, strides = var_1648, weight = sep_module_26_tcn_0_weight_to_fp16, x = input_263_cast_fp16)[name = string("input_265_cast_fp16")]; fp32 var_1654_alpha_1 = const()[name = string("op_1654_alpha_1"), val = fp32(-0x1.e9fd0cp-2)]; tensor var_1654_cast_fp16 = leaky_relu(alpha = var_1654_alpha_1, x = input_265_cast_fp16)[name = string("op_1654_cast_fp16")]; tensor var_1658 = const()[name = string("op_1658"), val = tensor([1])]; tensor mean_y_107_cast_fp16 = reduce_mean(axes = var_1658, keep_dims = var_68, x = var_1654_cast_fp16)[name = string("mean_y_107_cast_fp16")]; tensor var_1660_cast_fp16 = sub(x = var_1654_cast_fp16, y = mean_y_107_cast_fp16)[name = string("op_1660_cast_fp16")]; tensor var_1661_cast_fp16 = square(x = var_1660_cast_fp16); tensor var_1662 = const()[name = string("op_1662"), val = tensor([1])]; tensor var_1663_cast_fp16 = reduce_mean(axes = var_1662, keep_dims = var_68, x = var_1661_cast_fp16)[name = string("op_1663_cast_fp16")]; fp16 var_1664_to_fp16 = const()[name = string("op_1664_to_fp16"), val = fp16(0x1p-14)]; tensor var_1665_cast_fp16 = add(x = var_1663_cast_fp16, y = var_1664_to_fp16)[name = string("op_1665_cast_fp16")]; tensor std_y_107_cast_fp16 = sqrt(x = var_1665_cast_fp16)[name = string("std_y_107_cast_fp16")]; tensor sep_module_26_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_26_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1090176)))]; tensor var_1668_cast_fp16 = mul(x = sep_module_26_tcn_2_norm_gamma_to_fp16, y = var_1660_cast_fp16)[name = string("op_1668_cast_fp16")]; tensor var_1669_cast_fp16 = real_div(x = var_1668_cast_fp16, y = std_y_107_cast_fp16)[name = string("op_1669_cast_fp16")]; tensor sep_module_26_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_26_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1090496)))]; tensor input_267_cast_fp16 = add(x = var_1669_cast_fp16, y = sep_module_26_tcn_2_norm_beta_to_fp16)[name = string("input_267_cast_fp16")]; tensor input_269_pad_0 = const()[name = string("input_269_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_269_mode_0 = const()[name = string("input_269_mode_0"), val = string("constant")]; fp16 const_26_to_fp16 = const()[name = string("const_26_to_fp16"), val = fp16(0x0p+0)]; tensor input_269_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_267_cast_fp16_in_state, input_267_cast_fp16)); tensor input_267_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_269_cast_fp16); tensor var_1674 = const()[name = string("op_1674"), val = tensor([1])]; tensor var_1676 = const()[name = string("op_1676"), val = tensor([4])]; string input_271_pad_type_0 = const()[name = string("input_271_pad_type_0"), val = string("custom")]; tensor input_271_pad_0 = const()[name = string("input_271_pad_0"), val = tensor([0, 0])]; tensor sep_module_26_tcn_4_weight_to_fp16 = const()[name = string("sep_module_26_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1090816)))]; tensor input_271_cast_fp16 = conv(dilations = var_1676, groups = var_65, pad = input_271_pad_0, pad_type = input_271_pad_type_0, strides = var_1674, weight = sep_module_26_tcn_4_weight_to_fp16, x = input_269_cast_fp16)[name = string("input_271_cast_fp16")]; fp32 var_1680_alpha_1 = const()[name = string("op_1680_alpha_1"), val = fp32(0x1.b4fce2p-1)]; tensor var_1680_cast_fp16 = leaky_relu(alpha = var_1680_alpha_1, x = input_271_cast_fp16)[name = string("op_1680_cast_fp16")]; tensor var_1684 = const()[name = string("op_1684"), val = tensor([1])]; tensor mean_y_109_cast_fp16 = reduce_mean(axes = var_1684, keep_dims = var_68, x = var_1680_cast_fp16)[name = string("mean_y_109_cast_fp16")]; tensor var_1686_cast_fp16 = sub(x = var_1680_cast_fp16, y = mean_y_109_cast_fp16)[name = string("op_1686_cast_fp16")]; tensor var_1687_cast_fp16 = square(x = var_1686_cast_fp16); tensor var_1688 = const()[name = string("op_1688"), val = tensor([1])]; tensor var_1689_cast_fp16 = reduce_mean(axes = var_1688, keep_dims = var_68, x = var_1687_cast_fp16)[name = string("op_1689_cast_fp16")]; fp16 var_1690_to_fp16 = const()[name = string("op_1690_to_fp16"), val = fp16(0x1p-14)]; tensor var_1691_cast_fp16 = add(x = var_1689_cast_fp16, y = var_1690_to_fp16)[name = string("op_1691_cast_fp16")]; tensor std_y_109_cast_fp16 = sqrt(x = var_1691_cast_fp16)[name = string("std_y_109_cast_fp16")]; tensor sep_module_26_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_26_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1091648)))]; tensor var_1694_cast_fp16 = mul(x = sep_module_26_tcn_6_norm_gamma_to_fp16, y = var_1686_cast_fp16)[name = string("op_1694_cast_fp16")]; tensor var_1695_cast_fp16 = real_div(x = var_1694_cast_fp16, y = std_y_109_cast_fp16)[name = string("op_1695_cast_fp16")]; tensor sep_module_26_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_26_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1091968)))]; tensor y_54_cast_fp16 = add(x = var_1695_cast_fp16, y = sep_module_26_tcn_6_norm_beta_to_fp16)[name = string("y_54_cast_fp16")]; tensor input_273_cast_fp16 = add(x = input_263_cast_fp16, y = y_54_cast_fp16)[name = string("input_273_cast_fp16")]; tensor var_1706 = const()[name = string("op_1706"), val = tensor([1])]; tensor var_1708 = const()[name = string("op_1708"), val = tensor([1])]; string input_275_pad_type_0 = const()[name = string("input_275_pad_type_0"), val = string("custom")]; tensor input_275_pad_0 = const()[name = string("input_275_pad_0"), val = tensor([0, 0])]; tensor sep_module_27_tcn_0_weight_to_fp16 = const()[name = string("sep_module_27_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1092288)))]; tensor input_275_cast_fp16 = conv(dilations = var_1708, groups = var_64, pad = input_275_pad_0, pad_type = input_275_pad_type_0, strides = var_1706, weight = sep_module_27_tcn_0_weight_to_fp16, x = input_273_cast_fp16)[name = string("input_275_cast_fp16")]; fp32 var_1712_alpha_1 = const()[name = string("op_1712_alpha_1"), val = fp32(-0x1.0a56fcp-2)]; tensor var_1712_cast_fp16 = leaky_relu(alpha = var_1712_alpha_1, x = input_275_cast_fp16)[name = string("op_1712_cast_fp16")]; tensor var_1716 = const()[name = string("op_1716"), val = tensor([1])]; tensor mean_y_111_cast_fp16 = reduce_mean(axes = var_1716, keep_dims = var_68, x = var_1712_cast_fp16)[name = string("mean_y_111_cast_fp16")]; tensor var_1718_cast_fp16 = sub(x = var_1712_cast_fp16, y = mean_y_111_cast_fp16)[name = string("op_1718_cast_fp16")]; tensor var_1719_cast_fp16 = square(x = var_1718_cast_fp16); tensor var_1720 = const()[name = string("op_1720"), val = tensor([1])]; tensor var_1721_cast_fp16 = reduce_mean(axes = var_1720, keep_dims = var_68, x = var_1719_cast_fp16)[name = string("op_1721_cast_fp16")]; fp16 var_1722_to_fp16 = const()[name = string("op_1722_to_fp16"), val = fp16(0x1p-14)]; tensor var_1723_cast_fp16 = add(x = var_1721_cast_fp16, y = var_1722_to_fp16)[name = string("op_1723_cast_fp16")]; tensor std_y_111_cast_fp16 = sqrt(x = var_1723_cast_fp16)[name = string("std_y_111_cast_fp16")]; tensor sep_module_27_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_27_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1125120)))]; tensor var_1726_cast_fp16 = mul(x = sep_module_27_tcn_2_norm_gamma_to_fp16, y = var_1718_cast_fp16)[name = string("op_1726_cast_fp16")]; tensor var_1727_cast_fp16 = real_div(x = var_1726_cast_fp16, y = std_y_111_cast_fp16)[name = string("op_1727_cast_fp16")]; tensor sep_module_27_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_27_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1125440)))]; tensor input_277_cast_fp16 = add(x = var_1727_cast_fp16, y = sep_module_27_tcn_2_norm_beta_to_fp16)[name = string("input_277_cast_fp16")]; tensor input_279_pad_0 = const()[name = string("input_279_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_279_mode_0 = const()[name = string("input_279_mode_0"), val = string("constant")]; fp16 const_27_to_fp16 = const()[name = string("const_27_to_fp16"), val = fp16(0x0p+0)]; tensor input_279_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_277_cast_fp16_in_state, input_277_cast_fp16)); tensor input_277_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_279_cast_fp16); tensor var_1732 = const()[name = string("op_1732"), val = tensor([1])]; tensor var_1734 = const()[name = string("op_1734"), val = tensor([8])]; string input_281_pad_type_0 = const()[name = string("input_281_pad_type_0"), val = string("custom")]; tensor input_281_pad_0 = const()[name = string("input_281_pad_0"), val = tensor([0, 0])]; tensor sep_module_27_tcn_4_weight_to_fp16 = const()[name = string("sep_module_27_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1125760)))]; tensor input_281_cast_fp16 = conv(dilations = var_1734, groups = var_65, pad = input_281_pad_0, pad_type = input_281_pad_type_0, strides = var_1732, weight = sep_module_27_tcn_4_weight_to_fp16, x = input_279_cast_fp16)[name = string("input_281_cast_fp16")]; fp32 var_1738_alpha_1 = const()[name = string("op_1738_alpha_1"), val = fp32(0x1.dfa992p-1)]; tensor var_1738_cast_fp16 = leaky_relu(alpha = var_1738_alpha_1, x = input_281_cast_fp16)[name = string("op_1738_cast_fp16")]; tensor var_1742 = const()[name = string("op_1742"), val = tensor([1])]; tensor mean_y_113_cast_fp16 = reduce_mean(axes = var_1742, keep_dims = var_68, x = var_1738_cast_fp16)[name = string("mean_y_113_cast_fp16")]; tensor var_1744_cast_fp16 = sub(x = var_1738_cast_fp16, y = mean_y_113_cast_fp16)[name = string("op_1744_cast_fp16")]; tensor var_1745_cast_fp16 = square(x = var_1744_cast_fp16); tensor var_1746 = const()[name = string("op_1746"), val = tensor([1])]; tensor var_1747_cast_fp16 = reduce_mean(axes = var_1746, keep_dims = var_68, x = var_1745_cast_fp16)[name = string("op_1747_cast_fp16")]; fp16 var_1748_to_fp16 = const()[name = string("op_1748_to_fp16"), val = fp16(0x1p-14)]; tensor var_1749_cast_fp16 = add(x = var_1747_cast_fp16, y = var_1748_to_fp16)[name = string("op_1749_cast_fp16")]; tensor std_y_113_cast_fp16 = sqrt(x = var_1749_cast_fp16)[name = string("std_y_113_cast_fp16")]; tensor sep_module_27_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_27_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1126592)))]; tensor var_1752_cast_fp16 = mul(x = sep_module_27_tcn_6_norm_gamma_to_fp16, y = var_1744_cast_fp16)[name = string("op_1752_cast_fp16")]; tensor var_1753_cast_fp16 = real_div(x = var_1752_cast_fp16, y = std_y_113_cast_fp16)[name = string("op_1753_cast_fp16")]; tensor sep_module_27_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_27_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1126912)))]; tensor y_56_cast_fp16 = add(x = var_1753_cast_fp16, y = sep_module_27_tcn_6_norm_beta_to_fp16)[name = string("y_56_cast_fp16")]; tensor input_283_cast_fp16 = add(x = input_273_cast_fp16, y = y_56_cast_fp16)[name = string("input_283_cast_fp16")]; tensor var_1764 = const()[name = string("op_1764"), val = tensor([1])]; tensor var_1766 = const()[name = string("op_1766"), val = tensor([1])]; string input_285_pad_type_0 = const()[name = string("input_285_pad_type_0"), val = string("custom")]; tensor input_285_pad_0 = const()[name = string("input_285_pad_0"), val = tensor([0, 0])]; tensor sep_module_28_tcn_0_weight_to_fp16 = const()[name = string("sep_module_28_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1127232)))]; tensor input_285_cast_fp16 = conv(dilations = var_1766, groups = var_64, pad = input_285_pad_0, pad_type = input_285_pad_type_0, strides = var_1764, weight = sep_module_28_tcn_0_weight_to_fp16, x = input_283_cast_fp16)[name = string("input_285_cast_fp16")]; fp32 var_1770_alpha_1 = const()[name = string("op_1770_alpha_1"), val = fp32(0x1.a686acp-1)]; tensor var_1770_cast_fp16 = leaky_relu(alpha = var_1770_alpha_1, x = input_285_cast_fp16)[name = string("op_1770_cast_fp16")]; tensor var_1774 = const()[name = string("op_1774"), val = tensor([1])]; tensor mean_y_115_cast_fp16 = reduce_mean(axes = var_1774, keep_dims = var_68, x = var_1770_cast_fp16)[name = string("mean_y_115_cast_fp16")]; tensor var_1776_cast_fp16 = sub(x = var_1770_cast_fp16, y = mean_y_115_cast_fp16)[name = string("op_1776_cast_fp16")]; tensor var_1777_cast_fp16 = square(x = var_1776_cast_fp16); tensor var_1778 = const()[name = string("op_1778"), val = tensor([1])]; tensor var_1779_cast_fp16 = reduce_mean(axes = var_1778, keep_dims = var_68, x = var_1777_cast_fp16)[name = string("op_1779_cast_fp16")]; fp16 var_1780_to_fp16 = const()[name = string("op_1780_to_fp16"), val = fp16(0x1p-14)]; tensor var_1781_cast_fp16 = add(x = var_1779_cast_fp16, y = var_1780_to_fp16)[name = string("op_1781_cast_fp16")]; tensor std_y_115_cast_fp16 = sqrt(x = var_1781_cast_fp16)[name = string("std_y_115_cast_fp16")]; tensor sep_module_28_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_28_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1160064)))]; tensor var_1784_cast_fp16 = mul(x = sep_module_28_tcn_2_norm_gamma_to_fp16, y = var_1776_cast_fp16)[name = string("op_1784_cast_fp16")]; tensor var_1785_cast_fp16 = real_div(x = var_1784_cast_fp16, y = std_y_115_cast_fp16)[name = string("op_1785_cast_fp16")]; tensor sep_module_28_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_28_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1160384)))]; tensor input_287_cast_fp16 = add(x = var_1785_cast_fp16, y = sep_module_28_tcn_2_norm_beta_to_fp16)[name = string("input_287_cast_fp16")]; tensor input_289_pad_0 = const()[name = string("input_289_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_289_mode_0 = const()[name = string("input_289_mode_0"), val = string("constant")]; fp16 const_28_to_fp16 = const()[name = string("const_28_to_fp16"), val = fp16(0x0p+0)]; tensor input_289_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_287_cast_fp16_in_state, input_287_cast_fp16)); tensor input_287_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_289_cast_fp16); tensor var_1790 = const()[name = string("op_1790"), val = tensor([1])]; tensor var_1792 = const()[name = string("op_1792"), val = tensor([16])]; string input_291_pad_type_0 = const()[name = string("input_291_pad_type_0"), val = string("custom")]; tensor input_291_pad_0 = const()[name = string("input_291_pad_0"), val = tensor([0, 0])]; tensor sep_module_28_tcn_4_weight_to_fp16 = const()[name = string("sep_module_28_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1160704)))]; tensor input_291_cast_fp16 = conv(dilations = var_1792, groups = var_65, pad = input_291_pad_0, pad_type = input_291_pad_type_0, strides = var_1790, weight = sep_module_28_tcn_4_weight_to_fp16, x = input_289_cast_fp16)[name = string("input_291_cast_fp16")]; fp32 var_1796_alpha_1 = const()[name = string("op_1796_alpha_1"), val = fp32(0x1.bb10ecp-1)]; tensor var_1796_cast_fp16 = leaky_relu(alpha = var_1796_alpha_1, x = input_291_cast_fp16)[name = string("op_1796_cast_fp16")]; tensor var_1800 = const()[name = string("op_1800"), val = tensor([1])]; tensor mean_y_117_cast_fp16 = reduce_mean(axes = var_1800, keep_dims = var_68, x = var_1796_cast_fp16)[name = string("mean_y_117_cast_fp16")]; tensor var_1802_cast_fp16 = sub(x = var_1796_cast_fp16, y = mean_y_117_cast_fp16)[name = string("op_1802_cast_fp16")]; tensor var_1803_cast_fp16 = square(x = var_1802_cast_fp16); tensor var_1804 = const()[name = string("op_1804"), val = tensor([1])]; tensor var_1805_cast_fp16 = reduce_mean(axes = var_1804, keep_dims = var_68, x = var_1803_cast_fp16)[name = string("op_1805_cast_fp16")]; fp16 var_1806_to_fp16 = const()[name = string("op_1806_to_fp16"), val = fp16(0x1p-14)]; tensor var_1807_cast_fp16 = add(x = var_1805_cast_fp16, y = var_1806_to_fp16)[name = string("op_1807_cast_fp16")]; tensor std_y_117_cast_fp16 = sqrt(x = var_1807_cast_fp16)[name = string("std_y_117_cast_fp16")]; tensor sep_module_28_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_28_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1161536)))]; tensor var_1810_cast_fp16 = mul(x = sep_module_28_tcn_6_norm_gamma_to_fp16, y = var_1802_cast_fp16)[name = string("op_1810_cast_fp16")]; tensor var_1811_cast_fp16 = real_div(x = var_1810_cast_fp16, y = std_y_117_cast_fp16)[name = string("op_1811_cast_fp16")]; tensor sep_module_28_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_28_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1161856)))]; tensor y_58_cast_fp16 = add(x = var_1811_cast_fp16, y = sep_module_28_tcn_6_norm_beta_to_fp16)[name = string("y_58_cast_fp16")]; tensor input_293_cast_fp16 = add(x = input_283_cast_fp16, y = y_58_cast_fp16)[name = string("input_293_cast_fp16")]; tensor var_1822 = const()[name = string("op_1822"), val = tensor([1])]; tensor var_1824 = const()[name = string("op_1824"), val = tensor([1])]; string input_295_pad_type_0 = const()[name = string("input_295_pad_type_0"), val = string("custom")]; tensor input_295_pad_0 = const()[name = string("input_295_pad_0"), val = tensor([0, 0])]; tensor sep_module_29_tcn_0_weight_to_fp16 = const()[name = string("sep_module_29_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1162176)))]; tensor input_295_cast_fp16 = conv(dilations = var_1824, groups = var_64, pad = input_295_pad_0, pad_type = input_295_pad_type_0, strides = var_1822, weight = sep_module_29_tcn_0_weight_to_fp16, x = input_293_cast_fp16)[name = string("input_295_cast_fp16")]; fp32 var_1828_alpha_1 = const()[name = string("op_1828_alpha_1"), val = fp32(0x1.edf4a4p-1)]; tensor var_1828_cast_fp16 = leaky_relu(alpha = var_1828_alpha_1, x = input_295_cast_fp16)[name = string("op_1828_cast_fp16")]; tensor var_1832 = const()[name = string("op_1832"), val = tensor([1])]; tensor mean_y_119_cast_fp16 = reduce_mean(axes = var_1832, keep_dims = var_68, x = var_1828_cast_fp16)[name = string("mean_y_119_cast_fp16")]; tensor var_1834_cast_fp16 = sub(x = var_1828_cast_fp16, y = mean_y_119_cast_fp16)[name = string("op_1834_cast_fp16")]; tensor var_1835_cast_fp16 = square(x = var_1834_cast_fp16); tensor var_1836 = const()[name = string("op_1836"), val = tensor([1])]; tensor var_1837_cast_fp16 = reduce_mean(axes = var_1836, keep_dims = var_68, x = var_1835_cast_fp16)[name = string("op_1837_cast_fp16")]; fp16 var_1838_to_fp16 = const()[name = string("op_1838_to_fp16"), val = fp16(0x1p-14)]; tensor var_1839_cast_fp16 = add(x = var_1837_cast_fp16, y = var_1838_to_fp16)[name = string("op_1839_cast_fp16")]; tensor std_y_119_cast_fp16 = sqrt(x = var_1839_cast_fp16)[name = string("std_y_119_cast_fp16")]; tensor sep_module_29_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_29_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1195008)))]; tensor var_1842_cast_fp16 = mul(x = sep_module_29_tcn_2_norm_gamma_to_fp16, y = var_1834_cast_fp16)[name = string("op_1842_cast_fp16")]; tensor var_1843_cast_fp16 = real_div(x = var_1842_cast_fp16, y = std_y_119_cast_fp16)[name = string("op_1843_cast_fp16")]; tensor sep_module_29_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_29_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1195328)))]; tensor input_297_cast_fp16 = add(x = var_1843_cast_fp16, y = sep_module_29_tcn_2_norm_beta_to_fp16)[name = string("input_297_cast_fp16")]; tensor input_299_pad_0 = const()[name = string("input_299_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_299_mode_0 = const()[name = string("input_299_mode_0"), val = string("constant")]; fp16 const_29_to_fp16 = const()[name = string("const_29_to_fp16"), val = fp16(0x0p+0)]; tensor input_299_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_297_cast_fp16_in_state, input_297_cast_fp16)); tensor input_297_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_299_cast_fp16); tensor var_1848 = const()[name = string("op_1848"), val = tensor([1])]; tensor var_1850 = const()[name = string("op_1850"), val = tensor([32])]; string input_301_pad_type_0 = const()[name = string("input_301_pad_type_0"), val = string("custom")]; tensor input_301_pad_0 = const()[name = string("input_301_pad_0"), val = tensor([0, 0])]; tensor sep_module_29_tcn_4_weight_to_fp16 = const()[name = string("sep_module_29_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1195648)))]; tensor input_301_cast_fp16 = conv(dilations = var_1850, groups = var_65, pad = input_301_pad_0, pad_type = input_301_pad_type_0, strides = var_1848, weight = sep_module_29_tcn_4_weight_to_fp16, x = input_299_cast_fp16)[name = string("input_301_cast_fp16")]; fp32 var_1854_alpha_1 = const()[name = string("op_1854_alpha_1"), val = fp32(0x1.e90c7cp-1)]; tensor var_1854_cast_fp16 = leaky_relu(alpha = var_1854_alpha_1, x = input_301_cast_fp16)[name = string("op_1854_cast_fp16")]; tensor var_1858 = const()[name = string("op_1858"), val = tensor([1])]; tensor mean_y_121_cast_fp16 = reduce_mean(axes = var_1858, keep_dims = var_68, x = var_1854_cast_fp16)[name = string("mean_y_121_cast_fp16")]; tensor var_1860_cast_fp16 = sub(x = var_1854_cast_fp16, y = mean_y_121_cast_fp16)[name = string("op_1860_cast_fp16")]; tensor var_1861_cast_fp16 = square(x = var_1860_cast_fp16); tensor var_1862 = const()[name = string("op_1862"), val = tensor([1])]; tensor var_1863_cast_fp16 = reduce_mean(axes = var_1862, keep_dims = var_68, x = var_1861_cast_fp16)[name = string("op_1863_cast_fp16")]; fp16 var_1864_to_fp16 = const()[name = string("op_1864_to_fp16"), val = fp16(0x1p-14)]; tensor var_1865_cast_fp16 = add(x = var_1863_cast_fp16, y = var_1864_to_fp16)[name = string("op_1865_cast_fp16")]; tensor std_y_121_cast_fp16 = sqrt(x = var_1865_cast_fp16)[name = string("std_y_121_cast_fp16")]; tensor sep_module_29_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_29_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1196480)))]; tensor var_1868_cast_fp16 = mul(x = sep_module_29_tcn_6_norm_gamma_to_fp16, y = var_1860_cast_fp16)[name = string("op_1868_cast_fp16")]; tensor var_1869_cast_fp16 = real_div(x = var_1868_cast_fp16, y = std_y_121_cast_fp16)[name = string("op_1869_cast_fp16")]; tensor sep_module_29_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_29_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1196800)))]; tensor y_60_cast_fp16 = add(x = var_1869_cast_fp16, y = sep_module_29_tcn_6_norm_beta_to_fp16)[name = string("y_60_cast_fp16")]; tensor input_303_cast_fp16 = add(x = input_293_cast_fp16, y = y_60_cast_fp16)[name = string("input_303_cast_fp16")]; tensor var_1880 = const()[name = string("op_1880"), val = tensor([1])]; tensor var_1882 = const()[name = string("op_1882"), val = tensor([1])]; string input_305_pad_type_0 = const()[name = string("input_305_pad_type_0"), val = string("custom")]; tensor input_305_pad_0 = const()[name = string("input_305_pad_0"), val = tensor([0, 0])]; tensor sep_module_30_tcn_0_weight_to_fp16 = const()[name = string("sep_module_30_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1197120)))]; tensor input_305_cast_fp16 = conv(dilations = var_1882, groups = var_64, pad = input_305_pad_0, pad_type = input_305_pad_type_0, strides = var_1880, weight = sep_module_30_tcn_0_weight_to_fp16, x = input_303_cast_fp16)[name = string("input_305_cast_fp16")]; fp32 var_1886_alpha_1 = const()[name = string("op_1886_alpha_1"), val = fp32(-0x1.6594aep-1)]; tensor var_1886_cast_fp16 = leaky_relu(alpha = var_1886_alpha_1, x = input_305_cast_fp16)[name = string("op_1886_cast_fp16")]; tensor var_1890 = const()[name = string("op_1890"), val = tensor([1])]; tensor mean_y_123_cast_fp16 = reduce_mean(axes = var_1890, keep_dims = var_68, x = var_1886_cast_fp16)[name = string("mean_y_123_cast_fp16")]; tensor var_1892_cast_fp16 = sub(x = var_1886_cast_fp16, y = mean_y_123_cast_fp16)[name = string("op_1892_cast_fp16")]; tensor var_1893_cast_fp16 = square(x = var_1892_cast_fp16); tensor var_1894 = const()[name = string("op_1894"), val = tensor([1])]; tensor var_1895_cast_fp16 = reduce_mean(axes = var_1894, keep_dims = var_68, x = var_1893_cast_fp16)[name = string("op_1895_cast_fp16")]; fp16 var_1896_to_fp16 = const()[name = string("op_1896_to_fp16"), val = fp16(0x1p-14)]; tensor var_1897_cast_fp16 = add(x = var_1895_cast_fp16, y = var_1896_to_fp16)[name = string("op_1897_cast_fp16")]; tensor std_y_123_cast_fp16 = sqrt(x = var_1897_cast_fp16)[name = string("std_y_123_cast_fp16")]; tensor sep_module_30_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_30_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1229952)))]; tensor var_1900_cast_fp16 = mul(x = sep_module_30_tcn_2_norm_gamma_to_fp16, y = var_1892_cast_fp16)[name = string("op_1900_cast_fp16")]; tensor var_1901_cast_fp16 = real_div(x = var_1900_cast_fp16, y = std_y_123_cast_fp16)[name = string("op_1901_cast_fp16")]; tensor sep_module_30_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_30_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1230272)))]; tensor input_307_cast_fp16 = add(x = var_1901_cast_fp16, y = sep_module_30_tcn_2_norm_beta_to_fp16)[name = string("input_307_cast_fp16")]; tensor input_309_pad_0 = const()[name = string("input_309_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_309_mode_0 = const()[name = string("input_309_mode_0"), val = string("constant")]; fp16 const_30_to_fp16 = const()[name = string("const_30_to_fp16"), val = fp16(0x0p+0)]; tensor input_309_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_307_cast_fp16_in_state, input_307_cast_fp16)); tensor input_307_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_309_cast_fp16); tensor var_1906 = const()[name = string("op_1906"), val = tensor([1])]; tensor var_1908 = const()[name = string("op_1908"), val = tensor([1])]; string input_311_pad_type_0 = const()[name = string("input_311_pad_type_0"), val = string("custom")]; tensor input_311_pad_0 = const()[name = string("input_311_pad_0"), val = tensor([0, 0])]; tensor sep_module_30_tcn_4_weight_to_fp16 = const()[name = string("sep_module_30_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1230592)))]; tensor input_311_cast_fp16 = conv(dilations = var_1908, groups = var_65, pad = input_311_pad_0, pad_type = input_311_pad_type_0, strides = var_1906, weight = sep_module_30_tcn_4_weight_to_fp16, x = input_309_cast_fp16)[name = string("input_311_cast_fp16")]; fp32 var_1912_alpha_1 = const()[name = string("op_1912_alpha_1"), val = fp32(0x1.2dac26p-1)]; tensor var_1912_cast_fp16 = leaky_relu(alpha = var_1912_alpha_1, x = input_311_cast_fp16)[name = string("op_1912_cast_fp16")]; tensor var_1916 = const()[name = string("op_1916"), val = tensor([1])]; tensor mean_y_125_cast_fp16 = reduce_mean(axes = var_1916, keep_dims = var_68, x = var_1912_cast_fp16)[name = string("mean_y_125_cast_fp16")]; tensor var_1918_cast_fp16 = sub(x = var_1912_cast_fp16, y = mean_y_125_cast_fp16)[name = string("op_1918_cast_fp16")]; tensor var_1919_cast_fp16 = square(x = var_1918_cast_fp16); tensor var_1920 = const()[name = string("op_1920"), val = tensor([1])]; tensor var_1921_cast_fp16 = reduce_mean(axes = var_1920, keep_dims = var_68, x = var_1919_cast_fp16)[name = string("op_1921_cast_fp16")]; fp16 var_1922_to_fp16 = const()[name = string("op_1922_to_fp16"), val = fp16(0x1p-14)]; tensor var_1923_cast_fp16 = add(x = var_1921_cast_fp16, y = var_1922_to_fp16)[name = string("op_1923_cast_fp16")]; tensor std_y_125_cast_fp16 = sqrt(x = var_1923_cast_fp16)[name = string("std_y_125_cast_fp16")]; tensor sep_module_30_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_30_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1231424)))]; tensor var_1926_cast_fp16 = mul(x = sep_module_30_tcn_6_norm_gamma_to_fp16, y = var_1918_cast_fp16)[name = string("op_1926_cast_fp16")]; tensor var_1927_cast_fp16 = real_div(x = var_1926_cast_fp16, y = std_y_125_cast_fp16)[name = string("op_1927_cast_fp16")]; tensor sep_module_30_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_30_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1231744)))]; tensor y_62_cast_fp16 = add(x = var_1927_cast_fp16, y = sep_module_30_tcn_6_norm_beta_to_fp16)[name = string("y_62_cast_fp16")]; tensor input_313_cast_fp16 = add(x = input_303_cast_fp16, y = y_62_cast_fp16)[name = string("input_313_cast_fp16")]; tensor var_1938 = const()[name = string("op_1938"), val = tensor([1])]; tensor var_1940 = const()[name = string("op_1940"), val = tensor([1])]; string input_315_pad_type_0 = const()[name = string("input_315_pad_type_0"), val = string("custom")]; tensor input_315_pad_0 = const()[name = string("input_315_pad_0"), val = tensor([0, 0])]; tensor sep_module_31_tcn_0_weight_to_fp16 = const()[name = string("sep_module_31_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1232064)))]; tensor input_315_cast_fp16 = conv(dilations = var_1940, groups = var_64, pad = input_315_pad_0, pad_type = input_315_pad_type_0, strides = var_1938, weight = sep_module_31_tcn_0_weight_to_fp16, x = input_313_cast_fp16)[name = string("input_315_cast_fp16")]; fp32 var_1944_alpha_1 = const()[name = string("op_1944_alpha_1"), val = fp32(-0x1.f14b7cp-3)]; tensor var_1944_cast_fp16 = leaky_relu(alpha = var_1944_alpha_1, x = input_315_cast_fp16)[name = string("op_1944_cast_fp16")]; tensor var_1948 = const()[name = string("op_1948"), val = tensor([1])]; tensor mean_y_127_cast_fp16 = reduce_mean(axes = var_1948, keep_dims = var_68, x = var_1944_cast_fp16)[name = string("mean_y_127_cast_fp16")]; tensor var_1950_cast_fp16 = sub(x = var_1944_cast_fp16, y = mean_y_127_cast_fp16)[name = string("op_1950_cast_fp16")]; tensor var_1951_cast_fp16 = square(x = var_1950_cast_fp16); tensor var_1952 = const()[name = string("op_1952"), val = tensor([1])]; tensor var_1953_cast_fp16 = reduce_mean(axes = var_1952, keep_dims = var_68, x = var_1951_cast_fp16)[name = string("op_1953_cast_fp16")]; fp16 var_1954_to_fp16 = const()[name = string("op_1954_to_fp16"), val = fp16(0x1p-14)]; tensor var_1955_cast_fp16 = add(x = var_1953_cast_fp16, y = var_1954_to_fp16)[name = string("op_1955_cast_fp16")]; tensor std_y_127_cast_fp16 = sqrt(x = var_1955_cast_fp16)[name = string("std_y_127_cast_fp16")]; tensor sep_module_31_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_31_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1264896)))]; tensor var_1958_cast_fp16 = mul(x = sep_module_31_tcn_2_norm_gamma_to_fp16, y = var_1950_cast_fp16)[name = string("op_1958_cast_fp16")]; tensor var_1959_cast_fp16 = real_div(x = var_1958_cast_fp16, y = std_y_127_cast_fp16)[name = string("op_1959_cast_fp16")]; tensor sep_module_31_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_31_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1265216)))]; tensor input_317_cast_fp16 = add(x = var_1959_cast_fp16, y = sep_module_31_tcn_2_norm_beta_to_fp16)[name = string("input_317_cast_fp16")]; tensor input_319_pad_0 = const()[name = string("input_319_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_319_mode_0 = const()[name = string("input_319_mode_0"), val = string("constant")]; fp16 const_31_to_fp16 = const()[name = string("const_31_to_fp16"), val = fp16(0x0p+0)]; tensor input_319_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_317_cast_fp16_in_state, input_317_cast_fp16)); tensor input_317_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_319_cast_fp16); tensor var_1964 = const()[name = string("op_1964"), val = tensor([1])]; tensor var_1966 = const()[name = string("op_1966"), val = tensor([2])]; string input_321_pad_type_0 = const()[name = string("input_321_pad_type_0"), val = string("custom")]; tensor input_321_pad_0 = const()[name = string("input_321_pad_0"), val = tensor([0, 0])]; tensor sep_module_31_tcn_4_weight_to_fp16 = const()[name = string("sep_module_31_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1265536)))]; tensor input_321_cast_fp16 = conv(dilations = var_1966, groups = var_65, pad = input_321_pad_0, pad_type = input_321_pad_type_0, strides = var_1964, weight = sep_module_31_tcn_4_weight_to_fp16, x = input_319_cast_fp16)[name = string("input_321_cast_fp16")]; fp32 var_1970_alpha_1 = const()[name = string("op_1970_alpha_1"), val = fp32(0x1.bdabf8p-1)]; tensor var_1970_cast_fp16 = leaky_relu(alpha = var_1970_alpha_1, x = input_321_cast_fp16)[name = string("op_1970_cast_fp16")]; tensor var_1974 = const()[name = string("op_1974"), val = tensor([1])]; tensor mean_y_129_cast_fp16 = reduce_mean(axes = var_1974, keep_dims = var_68, x = var_1970_cast_fp16)[name = string("mean_y_129_cast_fp16")]; tensor var_1976_cast_fp16 = sub(x = var_1970_cast_fp16, y = mean_y_129_cast_fp16)[name = string("op_1976_cast_fp16")]; tensor var_1977_cast_fp16 = square(x = var_1976_cast_fp16); tensor var_1978 = const()[name = string("op_1978"), val = tensor([1])]; tensor var_1979_cast_fp16 = reduce_mean(axes = var_1978, keep_dims = var_68, x = var_1977_cast_fp16)[name = string("op_1979_cast_fp16")]; fp16 var_1980_to_fp16 = const()[name = string("op_1980_to_fp16"), val = fp16(0x1p-14)]; tensor var_1981_cast_fp16 = add(x = var_1979_cast_fp16, y = var_1980_to_fp16)[name = string("op_1981_cast_fp16")]; tensor std_y_129_cast_fp16 = sqrt(x = var_1981_cast_fp16)[name = string("std_y_129_cast_fp16")]; tensor sep_module_31_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_31_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1266368)))]; tensor var_1984_cast_fp16 = mul(x = sep_module_31_tcn_6_norm_gamma_to_fp16, y = var_1976_cast_fp16)[name = string("op_1984_cast_fp16")]; tensor var_1985_cast_fp16 = real_div(x = var_1984_cast_fp16, y = std_y_129_cast_fp16)[name = string("op_1985_cast_fp16")]; tensor sep_module_31_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_31_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1266688)))]; tensor y_64_cast_fp16 = add(x = var_1985_cast_fp16, y = sep_module_31_tcn_6_norm_beta_to_fp16)[name = string("y_64_cast_fp16")]; tensor input_323_cast_fp16 = add(x = input_313_cast_fp16, y = y_64_cast_fp16)[name = string("input_323_cast_fp16")]; tensor var_1996 = const()[name = string("op_1996"), val = tensor([1])]; tensor var_1998 = const()[name = string("op_1998"), val = tensor([1])]; string input_325_pad_type_0 = const()[name = string("input_325_pad_type_0"), val = string("custom")]; tensor input_325_pad_0 = const()[name = string("input_325_pad_0"), val = tensor([0, 0])]; tensor sep_module_32_tcn_0_weight_to_fp16 = const()[name = string("sep_module_32_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1267008)))]; tensor input_325_cast_fp16 = conv(dilations = var_1998, groups = var_64, pad = input_325_pad_0, pad_type = input_325_pad_type_0, strides = var_1996, weight = sep_module_32_tcn_0_weight_to_fp16, x = input_323_cast_fp16)[name = string("input_325_cast_fp16")]; fp32 var_2002_alpha_1 = const()[name = string("op_2002_alpha_1"), val = fp32(-0x1.2bc8a8p-1)]; tensor var_2002_cast_fp16 = leaky_relu(alpha = var_2002_alpha_1, x = input_325_cast_fp16)[name = string("op_2002_cast_fp16")]; tensor var_2006 = const()[name = string("op_2006"), val = tensor([1])]; tensor mean_y_131_cast_fp16 = reduce_mean(axes = var_2006, keep_dims = var_68, x = var_2002_cast_fp16)[name = string("mean_y_131_cast_fp16")]; tensor var_2008_cast_fp16 = sub(x = var_2002_cast_fp16, y = mean_y_131_cast_fp16)[name = string("op_2008_cast_fp16")]; tensor var_2009_cast_fp16 = square(x = var_2008_cast_fp16); tensor var_2010 = const()[name = string("op_2010"), val = tensor([1])]; tensor var_2011_cast_fp16 = reduce_mean(axes = var_2010, keep_dims = var_68, x = var_2009_cast_fp16)[name = string("op_2011_cast_fp16")]; fp16 var_2012_to_fp16 = const()[name = string("op_2012_to_fp16"), val = fp16(0x1p-14)]; tensor var_2013_cast_fp16 = add(x = var_2011_cast_fp16, y = var_2012_to_fp16)[name = string("op_2013_cast_fp16")]; tensor std_y_131_cast_fp16 = sqrt(x = var_2013_cast_fp16)[name = string("std_y_131_cast_fp16")]; tensor sep_module_32_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_32_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1299840)))]; tensor var_2016_cast_fp16 = mul(x = sep_module_32_tcn_2_norm_gamma_to_fp16, y = var_2008_cast_fp16)[name = string("op_2016_cast_fp16")]; tensor var_2017_cast_fp16 = real_div(x = var_2016_cast_fp16, y = std_y_131_cast_fp16)[name = string("op_2017_cast_fp16")]; tensor sep_module_32_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_32_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1300160)))]; tensor input_327_cast_fp16 = add(x = var_2017_cast_fp16, y = sep_module_32_tcn_2_norm_beta_to_fp16)[name = string("input_327_cast_fp16")]; tensor input_329_pad_0 = const()[name = string("input_329_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_329_mode_0 = const()[name = string("input_329_mode_0"), val = string("constant")]; fp16 const_32_to_fp16 = const()[name = string("const_32_to_fp16"), val = fp16(0x0p+0)]; tensor input_329_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_327_cast_fp16_in_state, input_327_cast_fp16)); tensor input_327_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_329_cast_fp16); tensor var_2022 = const()[name = string("op_2022"), val = tensor([1])]; tensor var_2024 = const()[name = string("op_2024"), val = tensor([4])]; string input_331_pad_type_0 = const()[name = string("input_331_pad_type_0"), val = string("custom")]; tensor input_331_pad_0 = const()[name = string("input_331_pad_0"), val = tensor([0, 0])]; tensor sep_module_32_tcn_4_weight_to_fp16 = const()[name = string("sep_module_32_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1300480)))]; tensor input_331_cast_fp16 = conv(dilations = var_2024, groups = var_65, pad = input_331_pad_0, pad_type = input_331_pad_type_0, strides = var_2022, weight = sep_module_32_tcn_4_weight_to_fp16, x = input_329_cast_fp16)[name = string("input_331_cast_fp16")]; fp32 var_2028_alpha_1 = const()[name = string("op_2028_alpha_1"), val = fp32(0x1.79898ep-1)]; tensor var_2028_cast_fp16 = leaky_relu(alpha = var_2028_alpha_1, x = input_331_cast_fp16)[name = string("op_2028_cast_fp16")]; tensor var_2032 = const()[name = string("op_2032"), val = tensor([1])]; tensor mean_y_133_cast_fp16 = reduce_mean(axes = var_2032, keep_dims = var_68, x = var_2028_cast_fp16)[name = string("mean_y_133_cast_fp16")]; tensor var_2034_cast_fp16 = sub(x = var_2028_cast_fp16, y = mean_y_133_cast_fp16)[name = string("op_2034_cast_fp16")]; tensor var_2035_cast_fp16 = square(x = var_2034_cast_fp16); tensor var_2036 = const()[name = string("op_2036"), val = tensor([1])]; tensor var_2037_cast_fp16 = reduce_mean(axes = var_2036, keep_dims = var_68, x = var_2035_cast_fp16)[name = string("op_2037_cast_fp16")]; fp16 var_2038_to_fp16 = const()[name = string("op_2038_to_fp16"), val = fp16(0x1p-14)]; tensor var_2039_cast_fp16 = add(x = var_2037_cast_fp16, y = var_2038_to_fp16)[name = string("op_2039_cast_fp16")]; tensor std_y_133_cast_fp16 = sqrt(x = var_2039_cast_fp16)[name = string("std_y_133_cast_fp16")]; tensor sep_module_32_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_32_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1301312)))]; tensor var_2042_cast_fp16 = mul(x = sep_module_32_tcn_6_norm_gamma_to_fp16, y = var_2034_cast_fp16)[name = string("op_2042_cast_fp16")]; tensor var_2043_cast_fp16 = real_div(x = var_2042_cast_fp16, y = std_y_133_cast_fp16)[name = string("op_2043_cast_fp16")]; tensor sep_module_32_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_32_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1301632)))]; tensor y_66_cast_fp16 = add(x = var_2043_cast_fp16, y = sep_module_32_tcn_6_norm_beta_to_fp16)[name = string("y_66_cast_fp16")]; tensor input_333_cast_fp16 = add(x = input_323_cast_fp16, y = y_66_cast_fp16)[name = string("input_333_cast_fp16")]; tensor var_2054 = const()[name = string("op_2054"), val = tensor([1])]; tensor var_2056 = const()[name = string("op_2056"), val = tensor([1])]; string input_335_pad_type_0 = const()[name = string("input_335_pad_type_0"), val = string("custom")]; tensor input_335_pad_0 = const()[name = string("input_335_pad_0"), val = tensor([0, 0])]; tensor sep_module_33_tcn_0_weight_to_fp16 = const()[name = string("sep_module_33_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1301952)))]; tensor input_335_cast_fp16 = conv(dilations = var_2056, groups = var_64, pad = input_335_pad_0, pad_type = input_335_pad_type_0, strides = var_2054, weight = sep_module_33_tcn_0_weight_to_fp16, x = input_333_cast_fp16)[name = string("input_335_cast_fp16")]; fp32 var_2060_alpha_1 = const()[name = string("op_2060_alpha_1"), val = fp32(-0x1.41941ep-2)]; tensor var_2060_cast_fp16 = leaky_relu(alpha = var_2060_alpha_1, x = input_335_cast_fp16)[name = string("op_2060_cast_fp16")]; tensor var_2064 = const()[name = string("op_2064"), val = tensor([1])]; tensor mean_y_135_cast_fp16 = reduce_mean(axes = var_2064, keep_dims = var_68, x = var_2060_cast_fp16)[name = string("mean_y_135_cast_fp16")]; tensor var_2066_cast_fp16 = sub(x = var_2060_cast_fp16, y = mean_y_135_cast_fp16)[name = string("op_2066_cast_fp16")]; tensor var_2067_cast_fp16 = square(x = var_2066_cast_fp16); tensor var_2068 = const()[name = string("op_2068"), val = tensor([1])]; tensor var_2069_cast_fp16 = reduce_mean(axes = var_2068, keep_dims = var_68, x = var_2067_cast_fp16)[name = string("op_2069_cast_fp16")]; fp16 var_2070_to_fp16 = const()[name = string("op_2070_to_fp16"), val = fp16(0x1p-14)]; tensor var_2071_cast_fp16 = add(x = var_2069_cast_fp16, y = var_2070_to_fp16)[name = string("op_2071_cast_fp16")]; tensor std_y_135_cast_fp16 = sqrt(x = var_2071_cast_fp16)[name = string("std_y_135_cast_fp16")]; tensor sep_module_33_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_33_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1334784)))]; tensor var_2074_cast_fp16 = mul(x = sep_module_33_tcn_2_norm_gamma_to_fp16, y = var_2066_cast_fp16)[name = string("op_2074_cast_fp16")]; tensor var_2075_cast_fp16 = real_div(x = var_2074_cast_fp16, y = std_y_135_cast_fp16)[name = string("op_2075_cast_fp16")]; tensor sep_module_33_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_33_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1335104)))]; tensor input_337_cast_fp16 = add(x = var_2075_cast_fp16, y = sep_module_33_tcn_2_norm_beta_to_fp16)[name = string("input_337_cast_fp16")]; tensor input_339_pad_0 = const()[name = string("input_339_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_339_mode_0 = const()[name = string("input_339_mode_0"), val = string("constant")]; fp16 const_33_to_fp16 = const()[name = string("const_33_to_fp16"), val = fp16(0x0p+0)]; tensor input_339_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_337_cast_fp16_in_state, input_337_cast_fp16)); tensor input_337_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_339_cast_fp16); tensor var_2080 = const()[name = string("op_2080"), val = tensor([1])]; tensor var_2082 = const()[name = string("op_2082"), val = tensor([8])]; string input_341_pad_type_0 = const()[name = string("input_341_pad_type_0"), val = string("custom")]; tensor input_341_pad_0 = const()[name = string("input_341_pad_0"), val = tensor([0, 0])]; tensor sep_module_33_tcn_4_weight_to_fp16 = const()[name = string("sep_module_33_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1335424)))]; tensor input_341_cast_fp16 = conv(dilations = var_2082, groups = var_65, pad = input_341_pad_0, pad_type = input_341_pad_type_0, strides = var_2080, weight = sep_module_33_tcn_4_weight_to_fp16, x = input_339_cast_fp16)[name = string("input_341_cast_fp16")]; fp32 var_2086_alpha_1 = const()[name = string("op_2086_alpha_1"), val = fp32(0x1.ef8b12p-1)]; tensor var_2086_cast_fp16 = leaky_relu(alpha = var_2086_alpha_1, x = input_341_cast_fp16)[name = string("op_2086_cast_fp16")]; tensor var_2090 = const()[name = string("op_2090"), val = tensor([1])]; tensor mean_y_137_cast_fp16 = reduce_mean(axes = var_2090, keep_dims = var_68, x = var_2086_cast_fp16)[name = string("mean_y_137_cast_fp16")]; tensor var_2092_cast_fp16 = sub(x = var_2086_cast_fp16, y = mean_y_137_cast_fp16)[name = string("op_2092_cast_fp16")]; tensor var_2093_cast_fp16 = square(x = var_2092_cast_fp16); tensor var_2094 = const()[name = string("op_2094"), val = tensor([1])]; tensor var_2095_cast_fp16 = reduce_mean(axes = var_2094, keep_dims = var_68, x = var_2093_cast_fp16)[name = string("op_2095_cast_fp16")]; fp16 var_2096_to_fp16 = const()[name = string("op_2096_to_fp16"), val = fp16(0x1p-14)]; tensor var_2097_cast_fp16 = add(x = var_2095_cast_fp16, y = var_2096_to_fp16)[name = string("op_2097_cast_fp16")]; tensor std_y_137_cast_fp16 = sqrt(x = var_2097_cast_fp16)[name = string("std_y_137_cast_fp16")]; tensor sep_module_33_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_33_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1336256)))]; tensor var_2100_cast_fp16 = mul(x = sep_module_33_tcn_6_norm_gamma_to_fp16, y = var_2092_cast_fp16)[name = string("op_2100_cast_fp16")]; tensor var_2101_cast_fp16 = real_div(x = var_2100_cast_fp16, y = std_y_137_cast_fp16)[name = string("op_2101_cast_fp16")]; tensor sep_module_33_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_33_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1336576)))]; tensor y_68_cast_fp16 = add(x = var_2101_cast_fp16, y = sep_module_33_tcn_6_norm_beta_to_fp16)[name = string("y_68_cast_fp16")]; tensor input_343_cast_fp16 = add(x = input_333_cast_fp16, y = y_68_cast_fp16)[name = string("input_343_cast_fp16")]; tensor var_2112 = const()[name = string("op_2112"), val = tensor([1])]; tensor var_2114 = const()[name = string("op_2114"), val = tensor([1])]; string input_345_pad_type_0 = const()[name = string("input_345_pad_type_0"), val = string("custom")]; tensor input_345_pad_0 = const()[name = string("input_345_pad_0"), val = tensor([0, 0])]; tensor sep_module_34_tcn_0_weight_to_fp16 = const()[name = string("sep_module_34_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1336896)))]; tensor input_345_cast_fp16 = conv(dilations = var_2114, groups = var_64, pad = input_345_pad_0, pad_type = input_345_pad_type_0, strides = var_2112, weight = sep_module_34_tcn_0_weight_to_fp16, x = input_343_cast_fp16)[name = string("input_345_cast_fp16")]; fp32 var_2118_alpha_1 = const()[name = string("op_2118_alpha_1"), val = fp32(0x1.e8096ap-1)]; tensor var_2118_cast_fp16 = leaky_relu(alpha = var_2118_alpha_1, x = input_345_cast_fp16)[name = string("op_2118_cast_fp16")]; tensor var_2122 = const()[name = string("op_2122"), val = tensor([1])]; tensor mean_y_139_cast_fp16 = reduce_mean(axes = var_2122, keep_dims = var_68, x = var_2118_cast_fp16)[name = string("mean_y_139_cast_fp16")]; tensor var_2124_cast_fp16 = sub(x = var_2118_cast_fp16, y = mean_y_139_cast_fp16)[name = string("op_2124_cast_fp16")]; tensor var_2125_cast_fp16 = square(x = var_2124_cast_fp16); tensor var_2126 = const()[name = string("op_2126"), val = tensor([1])]; tensor var_2127_cast_fp16 = reduce_mean(axes = var_2126, keep_dims = var_68, x = var_2125_cast_fp16)[name = string("op_2127_cast_fp16")]; fp16 var_2128_to_fp16 = const()[name = string("op_2128_to_fp16"), val = fp16(0x1p-14)]; tensor var_2129_cast_fp16 = add(x = var_2127_cast_fp16, y = var_2128_to_fp16)[name = string("op_2129_cast_fp16")]; tensor std_y_139_cast_fp16 = sqrt(x = var_2129_cast_fp16)[name = string("std_y_139_cast_fp16")]; tensor sep_module_34_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_34_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1369728)))]; tensor var_2132_cast_fp16 = mul(x = sep_module_34_tcn_2_norm_gamma_to_fp16, y = var_2124_cast_fp16)[name = string("op_2132_cast_fp16")]; tensor var_2133_cast_fp16 = real_div(x = var_2132_cast_fp16, y = std_y_139_cast_fp16)[name = string("op_2133_cast_fp16")]; tensor sep_module_34_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_34_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1370048)))]; tensor input_347_cast_fp16 = add(x = var_2133_cast_fp16, y = sep_module_34_tcn_2_norm_beta_to_fp16)[name = string("input_347_cast_fp16")]; tensor input_349_pad_0 = const()[name = string("input_349_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_349_mode_0 = const()[name = string("input_349_mode_0"), val = string("constant")]; fp16 const_34_to_fp16 = const()[name = string("const_34_to_fp16"), val = fp16(0x0p+0)]; tensor input_349_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_347_cast_fp16_in_state, input_347_cast_fp16)); tensor input_347_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_349_cast_fp16); tensor var_2138 = const()[name = string("op_2138"), val = tensor([1])]; tensor var_2140 = const()[name = string("op_2140"), val = tensor([16])]; string input_351_pad_type_0 = const()[name = string("input_351_pad_type_0"), val = string("custom")]; tensor input_351_pad_0 = const()[name = string("input_351_pad_0"), val = tensor([0, 0])]; tensor sep_module_34_tcn_4_weight_to_fp16 = const()[name = string("sep_module_34_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1370368)))]; tensor input_351_cast_fp16 = conv(dilations = var_2140, groups = var_65, pad = input_351_pad_0, pad_type = input_351_pad_type_0, strides = var_2138, weight = sep_module_34_tcn_4_weight_to_fp16, x = input_349_cast_fp16)[name = string("input_351_cast_fp16")]; fp32 var_2144_alpha_1 = const()[name = string("op_2144_alpha_1"), val = fp32(0x1.eda16p-1)]; tensor var_2144_cast_fp16 = leaky_relu(alpha = var_2144_alpha_1, x = input_351_cast_fp16)[name = string("op_2144_cast_fp16")]; tensor var_2148 = const()[name = string("op_2148"), val = tensor([1])]; tensor mean_y_141_cast_fp16 = reduce_mean(axes = var_2148, keep_dims = var_68, x = var_2144_cast_fp16)[name = string("mean_y_141_cast_fp16")]; tensor var_2150_cast_fp16 = sub(x = var_2144_cast_fp16, y = mean_y_141_cast_fp16)[name = string("op_2150_cast_fp16")]; tensor var_2151_cast_fp16 = square(x = var_2150_cast_fp16); tensor var_2152 = const()[name = string("op_2152"), val = tensor([1])]; tensor var_2153_cast_fp16 = reduce_mean(axes = var_2152, keep_dims = var_68, x = var_2151_cast_fp16)[name = string("op_2153_cast_fp16")]; fp16 var_2154_to_fp16 = const()[name = string("op_2154_to_fp16"), val = fp16(0x1p-14)]; tensor var_2155_cast_fp16 = add(x = var_2153_cast_fp16, y = var_2154_to_fp16)[name = string("op_2155_cast_fp16")]; tensor std_y_141_cast_fp16 = sqrt(x = var_2155_cast_fp16)[name = string("std_y_141_cast_fp16")]; tensor sep_module_34_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_34_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1371200)))]; tensor var_2158_cast_fp16 = mul(x = sep_module_34_tcn_6_norm_gamma_to_fp16, y = var_2150_cast_fp16)[name = string("op_2158_cast_fp16")]; tensor var_2159_cast_fp16 = real_div(x = var_2158_cast_fp16, y = std_y_141_cast_fp16)[name = string("op_2159_cast_fp16")]; tensor sep_module_34_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_34_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1371520)))]; tensor y_70_cast_fp16 = add(x = var_2159_cast_fp16, y = sep_module_34_tcn_6_norm_beta_to_fp16)[name = string("y_70_cast_fp16")]; tensor input_353_cast_fp16 = add(x = input_343_cast_fp16, y = y_70_cast_fp16)[name = string("input_353_cast_fp16")]; tensor var_2170 = const()[name = string("op_2170"), val = tensor([1])]; tensor var_2172 = const()[name = string("op_2172"), val = tensor([1])]; string input_355_pad_type_0 = const()[name = string("input_355_pad_type_0"), val = string("custom")]; tensor input_355_pad_0 = const()[name = string("input_355_pad_0"), val = tensor([0, 0])]; tensor sep_module_35_tcn_0_weight_to_fp16 = const()[name = string("sep_module_35_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1371840)))]; tensor input_355_cast_fp16 = conv(dilations = var_2172, groups = var_64, pad = input_355_pad_0, pad_type = input_355_pad_type_0, strides = var_2170, weight = sep_module_35_tcn_0_weight_to_fp16, x = input_353_cast_fp16)[name = string("input_355_cast_fp16")]; fp32 var_2176_alpha_1 = const()[name = string("op_2176_alpha_1"), val = fp32(0x1.fbc46cp-1)]; tensor var_2176_cast_fp16 = leaky_relu(alpha = var_2176_alpha_1, x = input_355_cast_fp16)[name = string("op_2176_cast_fp16")]; tensor var_2180 = const()[name = string("op_2180"), val = tensor([1])]; tensor mean_y_143_cast_fp16 = reduce_mean(axes = var_2180, keep_dims = var_68, x = var_2176_cast_fp16)[name = string("mean_y_143_cast_fp16")]; tensor var_2182_cast_fp16 = sub(x = var_2176_cast_fp16, y = mean_y_143_cast_fp16)[name = string("op_2182_cast_fp16")]; tensor var_2183_cast_fp16 = square(x = var_2182_cast_fp16); tensor var_2184 = const()[name = string("op_2184"), val = tensor([1])]; tensor var_2185_cast_fp16 = reduce_mean(axes = var_2184, keep_dims = var_68, x = var_2183_cast_fp16)[name = string("op_2185_cast_fp16")]; fp16 var_2186_to_fp16 = const()[name = string("op_2186_to_fp16"), val = fp16(0x1p-14)]; tensor var_2187_cast_fp16 = add(x = var_2185_cast_fp16, y = var_2186_to_fp16)[name = string("op_2187_cast_fp16")]; tensor std_y_143_cast_fp16 = sqrt(x = var_2187_cast_fp16)[name = string("std_y_143_cast_fp16")]; tensor sep_module_35_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_35_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1404672)))]; tensor var_2190_cast_fp16 = mul(x = sep_module_35_tcn_2_norm_gamma_to_fp16, y = var_2182_cast_fp16)[name = string("op_2190_cast_fp16")]; tensor var_2191_cast_fp16 = real_div(x = var_2190_cast_fp16, y = std_y_143_cast_fp16)[name = string("op_2191_cast_fp16")]; tensor sep_module_35_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_35_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1404992)))]; tensor input_357_cast_fp16 = add(x = var_2191_cast_fp16, y = sep_module_35_tcn_2_norm_beta_to_fp16)[name = string("input_357_cast_fp16")]; tensor input_359_pad_0 = const()[name = string("input_359_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_359_mode_0 = const()[name = string("input_359_mode_0"), val = string("constant")]; fp16 const_35_to_fp16 = const()[name = string("const_35_to_fp16"), val = fp16(0x0p+0)]; tensor input_359_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_357_cast_fp16_in_state, input_357_cast_fp16)); tensor input_357_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_359_cast_fp16); tensor var_2196 = const()[name = string("op_2196"), val = tensor([1])]; tensor var_2198 = const()[name = string("op_2198"), val = tensor([32])]; string input_361_pad_type_0 = const()[name = string("input_361_pad_type_0"), val = string("custom")]; tensor input_361_pad_0 = const()[name = string("input_361_pad_0"), val = tensor([0, 0])]; tensor sep_module_35_tcn_4_weight_to_fp16 = const()[name = string("sep_module_35_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1405312)))]; tensor input_361_cast_fp16 = conv(dilations = var_2198, groups = var_65, pad = input_361_pad_0, pad_type = input_361_pad_type_0, strides = var_2196, weight = sep_module_35_tcn_4_weight_to_fp16, x = input_359_cast_fp16)[name = string("input_361_cast_fp16")]; fp32 var_2202_alpha_1 = const()[name = string("op_2202_alpha_1"), val = fp32(0x1.fd5e5ep-1)]; tensor var_2202_cast_fp16 = leaky_relu(alpha = var_2202_alpha_1, x = input_361_cast_fp16)[name = string("op_2202_cast_fp16")]; tensor var_2206 = const()[name = string("op_2206"), val = tensor([1])]; tensor mean_y_145_cast_fp16 = reduce_mean(axes = var_2206, keep_dims = var_68, x = var_2202_cast_fp16)[name = string("mean_y_145_cast_fp16")]; tensor var_2208_cast_fp16 = sub(x = var_2202_cast_fp16, y = mean_y_145_cast_fp16)[name = string("op_2208_cast_fp16")]; tensor var_2209_cast_fp16 = square(x = var_2208_cast_fp16); tensor var_2210 = const()[name = string("op_2210"), val = tensor([1])]; tensor var_2211_cast_fp16 = reduce_mean(axes = var_2210, keep_dims = var_68, x = var_2209_cast_fp16)[name = string("op_2211_cast_fp16")]; fp16 var_2212_to_fp16 = const()[name = string("op_2212_to_fp16"), val = fp16(0x1p-14)]; tensor var_2213_cast_fp16 = add(x = var_2211_cast_fp16, y = var_2212_to_fp16)[name = string("op_2213_cast_fp16")]; tensor std_y_145_cast_fp16 = sqrt(x = var_2213_cast_fp16)[name = string("std_y_145_cast_fp16")]; tensor sep_module_35_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_35_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1406144)))]; tensor var_2216_cast_fp16 = mul(x = sep_module_35_tcn_6_norm_gamma_to_fp16, y = var_2208_cast_fp16)[name = string("op_2216_cast_fp16")]; tensor var_2217_cast_fp16 = real_div(x = var_2216_cast_fp16, y = std_y_145_cast_fp16)[name = string("op_2217_cast_fp16")]; tensor sep_module_35_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_35_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1406464)))]; tensor y_72_cast_fp16 = add(x = var_2217_cast_fp16, y = sep_module_35_tcn_6_norm_beta_to_fp16)[name = string("y_72_cast_fp16")]; tensor input_363_cast_fp16 = add(x = input_353_cast_fp16, y = y_72_cast_fp16)[name = string("input_363_cast_fp16")]; tensor var_2228 = const()[name = string("op_2228"), val = tensor([1])]; tensor var_2230 = const()[name = string("op_2230"), val = tensor([1])]; string input_365_pad_type_0 = const()[name = string("input_365_pad_type_0"), val = string("custom")]; tensor input_365_pad_0 = const()[name = string("input_365_pad_0"), val = tensor([0, 0])]; tensor sep_module_36_tcn_0_weight_to_fp16 = const()[name = string("sep_module_36_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1406784)))]; tensor input_365_cast_fp16 = conv(dilations = var_2230, groups = var_64, pad = input_365_pad_0, pad_type = input_365_pad_type_0, strides = var_2228, weight = sep_module_36_tcn_0_weight_to_fp16, x = input_363_cast_fp16)[name = string("input_365_cast_fp16")]; fp32 var_2234_alpha_1 = const()[name = string("op_2234_alpha_1"), val = fp32(-0x1.e40e94p-2)]; tensor var_2234_cast_fp16 = leaky_relu(alpha = var_2234_alpha_1, x = input_365_cast_fp16)[name = string("op_2234_cast_fp16")]; tensor var_2238 = const()[name = string("op_2238"), val = tensor([1])]; tensor mean_y_147_cast_fp16 = reduce_mean(axes = var_2238, keep_dims = var_68, x = var_2234_cast_fp16)[name = string("mean_y_147_cast_fp16")]; tensor var_2240_cast_fp16 = sub(x = var_2234_cast_fp16, y = mean_y_147_cast_fp16)[name = string("op_2240_cast_fp16")]; tensor var_2241_cast_fp16 = square(x = var_2240_cast_fp16); tensor var_2242 = const()[name = string("op_2242"), val = tensor([1])]; tensor var_2243_cast_fp16 = reduce_mean(axes = var_2242, keep_dims = var_68, x = var_2241_cast_fp16)[name = string("op_2243_cast_fp16")]; fp16 var_2244_to_fp16 = const()[name = string("op_2244_to_fp16"), val = fp16(0x1p-14)]; tensor var_2245_cast_fp16 = add(x = var_2243_cast_fp16, y = var_2244_to_fp16)[name = string("op_2245_cast_fp16")]; tensor std_y_147_cast_fp16 = sqrt(x = var_2245_cast_fp16)[name = string("std_y_147_cast_fp16")]; tensor sep_module_36_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_36_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1439616)))]; tensor var_2248_cast_fp16 = mul(x = sep_module_36_tcn_2_norm_gamma_to_fp16, y = var_2240_cast_fp16)[name = string("op_2248_cast_fp16")]; tensor var_2249_cast_fp16 = real_div(x = var_2248_cast_fp16, y = std_y_147_cast_fp16)[name = string("op_2249_cast_fp16")]; tensor sep_module_36_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_36_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1439936)))]; tensor input_367_cast_fp16 = add(x = var_2249_cast_fp16, y = sep_module_36_tcn_2_norm_beta_to_fp16)[name = string("input_367_cast_fp16")]; tensor input_369_pad_0 = const()[name = string("input_369_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_369_mode_0 = const()[name = string("input_369_mode_0"), val = string("constant")]; fp16 const_36_to_fp16 = const()[name = string("const_36_to_fp16"), val = fp16(0x0p+0)]; tensor input_369_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_367_cast_fp16_in_state, input_367_cast_fp16)); tensor input_367_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_369_cast_fp16); tensor var_2254 = const()[name = string("op_2254"), val = tensor([1])]; tensor var_2256 = const()[name = string("op_2256"), val = tensor([1])]; string input_371_pad_type_0 = const()[name = string("input_371_pad_type_0"), val = string("custom")]; tensor input_371_pad_0 = const()[name = string("input_371_pad_0"), val = tensor([0, 0])]; tensor sep_module_36_tcn_4_weight_to_fp16 = const()[name = string("sep_module_36_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1440256)))]; tensor input_371_cast_fp16 = conv(dilations = var_2256, groups = var_65, pad = input_371_pad_0, pad_type = input_371_pad_type_0, strides = var_2254, weight = sep_module_36_tcn_4_weight_to_fp16, x = input_369_cast_fp16)[name = string("input_371_cast_fp16")]; fp32 var_2260_alpha_1 = const()[name = string("op_2260_alpha_1"), val = fp32(0x1.e03d9ap-1)]; tensor var_2260_cast_fp16 = leaky_relu(alpha = var_2260_alpha_1, x = input_371_cast_fp16)[name = string("op_2260_cast_fp16")]; tensor var_2264 = const()[name = string("op_2264"), val = tensor([1])]; tensor mean_y_149_cast_fp16 = reduce_mean(axes = var_2264, keep_dims = var_68, x = var_2260_cast_fp16)[name = string("mean_y_149_cast_fp16")]; tensor var_2266_cast_fp16 = sub(x = var_2260_cast_fp16, y = mean_y_149_cast_fp16)[name = string("op_2266_cast_fp16")]; tensor var_2267_cast_fp16 = square(x = var_2266_cast_fp16); tensor var_2268 = const()[name = string("op_2268"), val = tensor([1])]; tensor var_2269_cast_fp16 = reduce_mean(axes = var_2268, keep_dims = var_68, x = var_2267_cast_fp16)[name = string("op_2269_cast_fp16")]; fp16 var_2270_to_fp16 = const()[name = string("op_2270_to_fp16"), val = fp16(0x1p-14)]; tensor var_2271_cast_fp16 = add(x = var_2269_cast_fp16, y = var_2270_to_fp16)[name = string("op_2271_cast_fp16")]; tensor std_y_149_cast_fp16 = sqrt(x = var_2271_cast_fp16)[name = string("std_y_149_cast_fp16")]; tensor sep_module_36_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_36_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1441088)))]; tensor var_2274_cast_fp16 = mul(x = sep_module_36_tcn_6_norm_gamma_to_fp16, y = var_2266_cast_fp16)[name = string("op_2274_cast_fp16")]; tensor var_2275_cast_fp16 = real_div(x = var_2274_cast_fp16, y = std_y_149_cast_fp16)[name = string("op_2275_cast_fp16")]; tensor sep_module_36_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_36_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1441408)))]; tensor y_74_cast_fp16 = add(x = var_2275_cast_fp16, y = sep_module_36_tcn_6_norm_beta_to_fp16)[name = string("y_74_cast_fp16")]; tensor input_373_cast_fp16 = add(x = input_363_cast_fp16, y = y_74_cast_fp16)[name = string("input_373_cast_fp16")]; tensor var_2286 = const()[name = string("op_2286"), val = tensor([1])]; tensor var_2288 = const()[name = string("op_2288"), val = tensor([1])]; string input_375_pad_type_0 = const()[name = string("input_375_pad_type_0"), val = string("custom")]; tensor input_375_pad_0 = const()[name = string("input_375_pad_0"), val = tensor([0, 0])]; tensor sep_module_37_tcn_0_weight_to_fp16 = const()[name = string("sep_module_37_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1441728)))]; tensor input_375_cast_fp16 = conv(dilations = var_2288, groups = var_64, pad = input_375_pad_0, pad_type = input_375_pad_type_0, strides = var_2286, weight = sep_module_37_tcn_0_weight_to_fp16, x = input_373_cast_fp16)[name = string("input_375_cast_fp16")]; fp32 var_2292_alpha_1 = const()[name = string("op_2292_alpha_1"), val = fp32(-0x1.dc48bcp-2)]; tensor var_2292_cast_fp16 = leaky_relu(alpha = var_2292_alpha_1, x = input_375_cast_fp16)[name = string("op_2292_cast_fp16")]; tensor var_2296 = const()[name = string("op_2296"), val = tensor([1])]; tensor mean_y_151_cast_fp16 = reduce_mean(axes = var_2296, keep_dims = var_68, x = var_2292_cast_fp16)[name = string("mean_y_151_cast_fp16")]; tensor var_2298_cast_fp16 = sub(x = var_2292_cast_fp16, y = mean_y_151_cast_fp16)[name = string("op_2298_cast_fp16")]; tensor var_2299_cast_fp16 = square(x = var_2298_cast_fp16); tensor var_2300 = const()[name = string("op_2300"), val = tensor([1])]; tensor var_2301_cast_fp16 = reduce_mean(axes = var_2300, keep_dims = var_68, x = var_2299_cast_fp16)[name = string("op_2301_cast_fp16")]; fp16 var_2302_to_fp16 = const()[name = string("op_2302_to_fp16"), val = fp16(0x1p-14)]; tensor var_2303_cast_fp16 = add(x = var_2301_cast_fp16, y = var_2302_to_fp16)[name = string("op_2303_cast_fp16")]; tensor std_y_151_cast_fp16 = sqrt(x = var_2303_cast_fp16)[name = string("std_y_151_cast_fp16")]; tensor sep_module_37_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_37_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1474560)))]; tensor var_2306_cast_fp16 = mul(x = sep_module_37_tcn_2_norm_gamma_to_fp16, y = var_2298_cast_fp16)[name = string("op_2306_cast_fp16")]; tensor var_2307_cast_fp16 = real_div(x = var_2306_cast_fp16, y = std_y_151_cast_fp16)[name = string("op_2307_cast_fp16")]; tensor sep_module_37_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_37_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1474880)))]; tensor input_377_cast_fp16 = add(x = var_2307_cast_fp16, y = sep_module_37_tcn_2_norm_beta_to_fp16)[name = string("input_377_cast_fp16")]; tensor input_379_pad_0 = const()[name = string("input_379_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_379_mode_0 = const()[name = string("input_379_mode_0"), val = string("constant")]; fp16 const_37_to_fp16 = const()[name = string("const_37_to_fp16"), val = fp16(0x0p+0)]; tensor input_379_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_377_cast_fp16_in_state, input_377_cast_fp16)); tensor input_377_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_379_cast_fp16); tensor var_2312 = const()[name = string("op_2312"), val = tensor([1])]; tensor var_2314 = const()[name = string("op_2314"), val = tensor([2])]; string input_381_pad_type_0 = const()[name = string("input_381_pad_type_0"), val = string("custom")]; tensor input_381_pad_0 = const()[name = string("input_381_pad_0"), val = tensor([0, 0])]; tensor sep_module_37_tcn_4_weight_to_fp16 = const()[name = string("sep_module_37_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1475200)))]; tensor input_381_cast_fp16 = conv(dilations = var_2314, groups = var_65, pad = input_381_pad_0, pad_type = input_381_pad_type_0, strides = var_2312, weight = sep_module_37_tcn_4_weight_to_fp16, x = input_379_cast_fp16)[name = string("input_381_cast_fp16")]; fp32 var_2318_alpha_1 = const()[name = string("op_2318_alpha_1"), val = fp32(0x1.f1cb02p-1)]; tensor var_2318_cast_fp16 = leaky_relu(alpha = var_2318_alpha_1, x = input_381_cast_fp16)[name = string("op_2318_cast_fp16")]; tensor var_2322 = const()[name = string("op_2322"), val = tensor([1])]; tensor mean_y_153_cast_fp16 = reduce_mean(axes = var_2322, keep_dims = var_68, x = var_2318_cast_fp16)[name = string("mean_y_153_cast_fp16")]; tensor var_2324_cast_fp16 = sub(x = var_2318_cast_fp16, y = mean_y_153_cast_fp16)[name = string("op_2324_cast_fp16")]; tensor var_2325_cast_fp16 = square(x = var_2324_cast_fp16); tensor var_2326 = const()[name = string("op_2326"), val = tensor([1])]; tensor var_2327_cast_fp16 = reduce_mean(axes = var_2326, keep_dims = var_68, x = var_2325_cast_fp16)[name = string("op_2327_cast_fp16")]; fp16 var_2328_to_fp16 = const()[name = string("op_2328_to_fp16"), val = fp16(0x1p-14)]; tensor var_2329_cast_fp16 = add(x = var_2327_cast_fp16, y = var_2328_to_fp16)[name = string("op_2329_cast_fp16")]; tensor std_y_153_cast_fp16 = sqrt(x = var_2329_cast_fp16)[name = string("std_y_153_cast_fp16")]; tensor sep_module_37_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_37_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1476032)))]; tensor var_2332_cast_fp16 = mul(x = sep_module_37_tcn_6_norm_gamma_to_fp16, y = var_2324_cast_fp16)[name = string("op_2332_cast_fp16")]; tensor var_2333_cast_fp16 = real_div(x = var_2332_cast_fp16, y = std_y_153_cast_fp16)[name = string("op_2333_cast_fp16")]; tensor sep_module_37_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_37_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1476352)))]; tensor y_76_cast_fp16 = add(x = var_2333_cast_fp16, y = sep_module_37_tcn_6_norm_beta_to_fp16)[name = string("y_76_cast_fp16")]; tensor input_383_cast_fp16 = add(x = input_373_cast_fp16, y = y_76_cast_fp16)[name = string("input_383_cast_fp16")]; tensor var_2344 = const()[name = string("op_2344"), val = tensor([1])]; tensor var_2346 = const()[name = string("op_2346"), val = tensor([1])]; string input_385_pad_type_0 = const()[name = string("input_385_pad_type_0"), val = string("custom")]; tensor input_385_pad_0 = const()[name = string("input_385_pad_0"), val = tensor([0, 0])]; tensor sep_module_38_tcn_0_weight_to_fp16 = const()[name = string("sep_module_38_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1476672)))]; tensor input_385_cast_fp16 = conv(dilations = var_2346, groups = var_64, pad = input_385_pad_0, pad_type = input_385_pad_type_0, strides = var_2344, weight = sep_module_38_tcn_0_weight_to_fp16, x = input_383_cast_fp16)[name = string("input_385_cast_fp16")]; fp32 var_2350_alpha_1 = const()[name = string("op_2350_alpha_1"), val = fp32(-0x1.c8265ap-1)]; tensor var_2350_cast_fp16 = leaky_relu(alpha = var_2350_alpha_1, x = input_385_cast_fp16)[name = string("op_2350_cast_fp16")]; tensor var_2354 = const()[name = string("op_2354"), val = tensor([1])]; tensor mean_y_155_cast_fp16 = reduce_mean(axes = var_2354, keep_dims = var_68, x = var_2350_cast_fp16)[name = string("mean_y_155_cast_fp16")]; tensor var_2356_cast_fp16 = sub(x = var_2350_cast_fp16, y = mean_y_155_cast_fp16)[name = string("op_2356_cast_fp16")]; tensor var_2357_cast_fp16 = square(x = var_2356_cast_fp16); tensor var_2358 = const()[name = string("op_2358"), val = tensor([1])]; tensor var_2359_cast_fp16 = reduce_mean(axes = var_2358, keep_dims = var_68, x = var_2357_cast_fp16)[name = string("op_2359_cast_fp16")]; fp16 var_2360_to_fp16 = const()[name = string("op_2360_to_fp16"), val = fp16(0x1p-14)]; tensor var_2361_cast_fp16 = add(x = var_2359_cast_fp16, y = var_2360_to_fp16)[name = string("op_2361_cast_fp16")]; tensor std_y_155_cast_fp16 = sqrt(x = var_2361_cast_fp16)[name = string("std_y_155_cast_fp16")]; tensor sep_module_38_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_38_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1509504)))]; tensor var_2364_cast_fp16 = mul(x = sep_module_38_tcn_2_norm_gamma_to_fp16, y = var_2356_cast_fp16)[name = string("op_2364_cast_fp16")]; tensor var_2365_cast_fp16 = real_div(x = var_2364_cast_fp16, y = std_y_155_cast_fp16)[name = string("op_2365_cast_fp16")]; tensor sep_module_38_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_38_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1509824)))]; tensor input_387_cast_fp16 = add(x = var_2365_cast_fp16, y = sep_module_38_tcn_2_norm_beta_to_fp16)[name = string("input_387_cast_fp16")]; tensor input_389_pad_0 = const()[name = string("input_389_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_389_mode_0 = const()[name = string("input_389_mode_0"), val = string("constant")]; fp16 const_38_to_fp16 = const()[name = string("const_38_to_fp16"), val = fp16(0x0p+0)]; tensor input_389_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_387_cast_fp16_in_state, input_387_cast_fp16)); tensor input_387_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_389_cast_fp16); tensor var_2370 = const()[name = string("op_2370"), val = tensor([1])]; tensor var_2372 = const()[name = string("op_2372"), val = tensor([4])]; string input_391_pad_type_0 = const()[name = string("input_391_pad_type_0"), val = string("custom")]; tensor input_391_pad_0 = const()[name = string("input_391_pad_0"), val = tensor([0, 0])]; tensor sep_module_38_tcn_4_weight_to_fp16 = const()[name = string("sep_module_38_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1510144)))]; tensor input_391_cast_fp16 = conv(dilations = var_2372, groups = var_65, pad = input_391_pad_0, pad_type = input_391_pad_type_0, strides = var_2370, weight = sep_module_38_tcn_4_weight_to_fp16, x = input_389_cast_fp16)[name = string("input_391_cast_fp16")]; fp32 var_2376_alpha_1 = const()[name = string("op_2376_alpha_1"), val = fp32(0x1.662556p-1)]; tensor var_2376_cast_fp16 = leaky_relu(alpha = var_2376_alpha_1, x = input_391_cast_fp16)[name = string("op_2376_cast_fp16")]; tensor var_2380 = const()[name = string("op_2380"), val = tensor([1])]; tensor mean_y_157_cast_fp16 = reduce_mean(axes = var_2380, keep_dims = var_68, x = var_2376_cast_fp16)[name = string("mean_y_157_cast_fp16")]; tensor var_2382_cast_fp16 = sub(x = var_2376_cast_fp16, y = mean_y_157_cast_fp16)[name = string("op_2382_cast_fp16")]; tensor var_2383_cast_fp16 = square(x = var_2382_cast_fp16); tensor var_2384 = const()[name = string("op_2384"), val = tensor([1])]; tensor var_2385_cast_fp16 = reduce_mean(axes = var_2384, keep_dims = var_68, x = var_2383_cast_fp16)[name = string("op_2385_cast_fp16")]; fp16 var_2386_to_fp16 = const()[name = string("op_2386_to_fp16"), val = fp16(0x1p-14)]; tensor var_2387_cast_fp16 = add(x = var_2385_cast_fp16, y = var_2386_to_fp16)[name = string("op_2387_cast_fp16")]; tensor std_y_157_cast_fp16 = sqrt(x = var_2387_cast_fp16)[name = string("std_y_157_cast_fp16")]; tensor sep_module_38_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_38_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1510976)))]; tensor var_2390_cast_fp16 = mul(x = sep_module_38_tcn_6_norm_gamma_to_fp16, y = var_2382_cast_fp16)[name = string("op_2390_cast_fp16")]; tensor var_2391_cast_fp16 = real_div(x = var_2390_cast_fp16, y = std_y_157_cast_fp16)[name = string("op_2391_cast_fp16")]; tensor sep_module_38_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_38_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1511296)))]; tensor y_78_cast_fp16 = add(x = var_2391_cast_fp16, y = sep_module_38_tcn_6_norm_beta_to_fp16)[name = string("y_78_cast_fp16")]; tensor input_393_cast_fp16 = add(x = input_383_cast_fp16, y = y_78_cast_fp16)[name = string("input_393_cast_fp16")]; tensor var_2402 = const()[name = string("op_2402"), val = tensor([1])]; tensor var_2404 = const()[name = string("op_2404"), val = tensor([1])]; string input_395_pad_type_0 = const()[name = string("input_395_pad_type_0"), val = string("custom")]; tensor input_395_pad_0 = const()[name = string("input_395_pad_0"), val = tensor([0, 0])]; tensor sep_module_39_tcn_0_weight_to_fp16 = const()[name = string("sep_module_39_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1511616)))]; tensor input_395_cast_fp16 = conv(dilations = var_2404, groups = var_64, pad = input_395_pad_0, pad_type = input_395_pad_type_0, strides = var_2402, weight = sep_module_39_tcn_0_weight_to_fp16, x = input_393_cast_fp16)[name = string("input_395_cast_fp16")]; fp32 var_2408_alpha_1 = const()[name = string("op_2408_alpha_1"), val = fp32(-0x1.3803c4p-1)]; tensor var_2408_cast_fp16 = leaky_relu(alpha = var_2408_alpha_1, x = input_395_cast_fp16)[name = string("op_2408_cast_fp16")]; tensor var_2412 = const()[name = string("op_2412"), val = tensor([1])]; tensor mean_y_159_cast_fp16 = reduce_mean(axes = var_2412, keep_dims = var_68, x = var_2408_cast_fp16)[name = string("mean_y_159_cast_fp16")]; tensor var_2414_cast_fp16 = sub(x = var_2408_cast_fp16, y = mean_y_159_cast_fp16)[name = string("op_2414_cast_fp16")]; tensor var_2415_cast_fp16 = square(x = var_2414_cast_fp16); tensor var_2416 = const()[name = string("op_2416"), val = tensor([1])]; tensor var_2417_cast_fp16 = reduce_mean(axes = var_2416, keep_dims = var_68, x = var_2415_cast_fp16)[name = string("op_2417_cast_fp16")]; fp16 var_2418_to_fp16 = const()[name = string("op_2418_to_fp16"), val = fp16(0x1p-14)]; tensor var_2419_cast_fp16 = add(x = var_2417_cast_fp16, y = var_2418_to_fp16)[name = string("op_2419_cast_fp16")]; tensor std_y_159_cast_fp16 = sqrt(x = var_2419_cast_fp16)[name = string("std_y_159_cast_fp16")]; tensor sep_module_39_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_39_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1544448)))]; tensor var_2422_cast_fp16 = mul(x = sep_module_39_tcn_2_norm_gamma_to_fp16, y = var_2414_cast_fp16)[name = string("op_2422_cast_fp16")]; tensor var_2423_cast_fp16 = real_div(x = var_2422_cast_fp16, y = std_y_159_cast_fp16)[name = string("op_2423_cast_fp16")]; tensor sep_module_39_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_39_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1544768)))]; tensor input_397_cast_fp16 = add(x = var_2423_cast_fp16, y = sep_module_39_tcn_2_norm_beta_to_fp16)[name = string("input_397_cast_fp16")]; tensor input_399_pad_0 = const()[name = string("input_399_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_399_mode_0 = const()[name = string("input_399_mode_0"), val = string("constant")]; fp16 const_39_to_fp16 = const()[name = string("const_39_to_fp16"), val = fp16(0x0p+0)]; tensor input_399_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_397_cast_fp16_in_state, input_397_cast_fp16)); tensor input_397_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_399_cast_fp16); tensor var_2428 = const()[name = string("op_2428"), val = tensor([1])]; tensor var_2430 = const()[name = string("op_2430"), val = tensor([8])]; string input_401_pad_type_0 = const()[name = string("input_401_pad_type_0"), val = string("custom")]; tensor input_401_pad_0 = const()[name = string("input_401_pad_0"), val = tensor([0, 0])]; tensor sep_module_39_tcn_4_weight_to_fp16 = const()[name = string("sep_module_39_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1545088)))]; tensor input_401_cast_fp16 = conv(dilations = var_2430, groups = var_65, pad = input_401_pad_0, pad_type = input_401_pad_type_0, strides = var_2428, weight = sep_module_39_tcn_4_weight_to_fp16, x = input_399_cast_fp16)[name = string("input_401_cast_fp16")]; fp32 var_2434_alpha_1 = const()[name = string("op_2434_alpha_1"), val = fp32(0x1.4003acp-1)]; tensor var_2434_cast_fp16 = leaky_relu(alpha = var_2434_alpha_1, x = input_401_cast_fp16)[name = string("op_2434_cast_fp16")]; tensor var_2438 = const()[name = string("op_2438"), val = tensor([1])]; tensor mean_y_161_cast_fp16 = reduce_mean(axes = var_2438, keep_dims = var_68, x = var_2434_cast_fp16)[name = string("mean_y_161_cast_fp16")]; tensor var_2440_cast_fp16 = sub(x = var_2434_cast_fp16, y = mean_y_161_cast_fp16)[name = string("op_2440_cast_fp16")]; tensor var_2441_cast_fp16 = square(x = var_2440_cast_fp16); tensor var_2442 = const()[name = string("op_2442"), val = tensor([1])]; tensor var_2443_cast_fp16 = reduce_mean(axes = var_2442, keep_dims = var_68, x = var_2441_cast_fp16)[name = string("op_2443_cast_fp16")]; fp16 var_2444_to_fp16 = const()[name = string("op_2444_to_fp16"), val = fp16(0x1p-14)]; tensor var_2445_cast_fp16 = add(x = var_2443_cast_fp16, y = var_2444_to_fp16)[name = string("op_2445_cast_fp16")]; tensor std_y_161_cast_fp16 = sqrt(x = var_2445_cast_fp16)[name = string("std_y_161_cast_fp16")]; tensor sep_module_39_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_39_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1545920)))]; tensor var_2448_cast_fp16 = mul(x = sep_module_39_tcn_6_norm_gamma_to_fp16, y = var_2440_cast_fp16)[name = string("op_2448_cast_fp16")]; tensor var_2449_cast_fp16 = real_div(x = var_2448_cast_fp16, y = std_y_161_cast_fp16)[name = string("op_2449_cast_fp16")]; tensor sep_module_39_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_39_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1546240)))]; tensor y_80_cast_fp16 = add(x = var_2449_cast_fp16, y = sep_module_39_tcn_6_norm_beta_to_fp16)[name = string("y_80_cast_fp16")]; tensor input_403_cast_fp16 = add(x = input_393_cast_fp16, y = y_80_cast_fp16)[name = string("input_403_cast_fp16")]; tensor var_2460 = const()[name = string("op_2460"), val = tensor([1])]; tensor var_2462 = const()[name = string("op_2462"), val = tensor([1])]; string input_405_pad_type_0 = const()[name = string("input_405_pad_type_0"), val = string("custom")]; tensor input_405_pad_0 = const()[name = string("input_405_pad_0"), val = tensor([0, 0])]; tensor sep_module_40_tcn_0_weight_to_fp16 = const()[name = string("sep_module_40_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1546560)))]; tensor input_405_cast_fp16 = conv(dilations = var_2462, groups = var_64, pad = input_405_pad_0, pad_type = input_405_pad_type_0, strides = var_2460, weight = sep_module_40_tcn_0_weight_to_fp16, x = input_403_cast_fp16)[name = string("input_405_cast_fp16")]; fp32 var_2466_alpha_1 = const()[name = string("op_2466_alpha_1"), val = fp32(0x1.ff6a5cp-1)]; tensor var_2466_cast_fp16 = leaky_relu(alpha = var_2466_alpha_1, x = input_405_cast_fp16)[name = string("op_2466_cast_fp16")]; tensor var_2470 = const()[name = string("op_2470"), val = tensor([1])]; tensor mean_y_163_cast_fp16 = reduce_mean(axes = var_2470, keep_dims = var_68, x = var_2466_cast_fp16)[name = string("mean_y_163_cast_fp16")]; tensor var_2472_cast_fp16 = sub(x = var_2466_cast_fp16, y = mean_y_163_cast_fp16)[name = string("op_2472_cast_fp16")]; tensor var_2473_cast_fp16 = square(x = var_2472_cast_fp16); tensor var_2474 = const()[name = string("op_2474"), val = tensor([1])]; tensor var_2475_cast_fp16 = reduce_mean(axes = var_2474, keep_dims = var_68, x = var_2473_cast_fp16)[name = string("op_2475_cast_fp16")]; fp16 var_2476_to_fp16 = const()[name = string("op_2476_to_fp16"), val = fp16(0x1p-14)]; tensor var_2477_cast_fp16 = add(x = var_2475_cast_fp16, y = var_2476_to_fp16)[name = string("op_2477_cast_fp16")]; tensor std_y_163_cast_fp16 = sqrt(x = var_2477_cast_fp16)[name = string("std_y_163_cast_fp16")]; tensor sep_module_40_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_40_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1579392)))]; tensor var_2480_cast_fp16 = mul(x = sep_module_40_tcn_2_norm_gamma_to_fp16, y = var_2472_cast_fp16)[name = string("op_2480_cast_fp16")]; tensor var_2481_cast_fp16 = real_div(x = var_2480_cast_fp16, y = std_y_163_cast_fp16)[name = string("op_2481_cast_fp16")]; tensor sep_module_40_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_40_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1579712)))]; tensor input_407_cast_fp16 = add(x = var_2481_cast_fp16, y = sep_module_40_tcn_2_norm_beta_to_fp16)[name = string("input_407_cast_fp16")]; tensor input_409_pad_0 = const()[name = string("input_409_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_409_mode_0 = const()[name = string("input_409_mode_0"), val = string("constant")]; fp16 const_40_to_fp16 = const()[name = string("const_40_to_fp16"), val = fp16(0x0p+0)]; tensor input_409_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_407_cast_fp16_in_state, input_407_cast_fp16)); tensor input_407_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_409_cast_fp16); tensor var_2486 = const()[name = string("op_2486"), val = tensor([1])]; tensor var_2488 = const()[name = string("op_2488"), val = tensor([16])]; string input_411_pad_type_0 = const()[name = string("input_411_pad_type_0"), val = string("custom")]; tensor input_411_pad_0 = const()[name = string("input_411_pad_0"), val = tensor([0, 0])]; tensor sep_module_40_tcn_4_weight_to_fp16 = const()[name = string("sep_module_40_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1580032)))]; tensor input_411_cast_fp16 = conv(dilations = var_2488, groups = var_65, pad = input_411_pad_0, pad_type = input_411_pad_type_0, strides = var_2486, weight = sep_module_40_tcn_4_weight_to_fp16, x = input_409_cast_fp16)[name = string("input_411_cast_fp16")]; fp32 var_2492_alpha_1 = const()[name = string("op_2492_alpha_1"), val = fp32(0x1.ff8c34p-1)]; tensor var_2492_cast_fp16 = leaky_relu(alpha = var_2492_alpha_1, x = input_411_cast_fp16)[name = string("op_2492_cast_fp16")]; tensor var_2496 = const()[name = string("op_2496"), val = tensor([1])]; tensor mean_y_165_cast_fp16 = reduce_mean(axes = var_2496, keep_dims = var_68, x = var_2492_cast_fp16)[name = string("mean_y_165_cast_fp16")]; tensor var_2498_cast_fp16 = sub(x = var_2492_cast_fp16, y = mean_y_165_cast_fp16)[name = string("op_2498_cast_fp16")]; tensor var_2499_cast_fp16 = square(x = var_2498_cast_fp16); tensor var_2500 = const()[name = string("op_2500"), val = tensor([1])]; tensor var_2501_cast_fp16 = reduce_mean(axes = var_2500, keep_dims = var_68, x = var_2499_cast_fp16)[name = string("op_2501_cast_fp16")]; fp16 var_2502_to_fp16 = const()[name = string("op_2502_to_fp16"), val = fp16(0x1p-14)]; tensor var_2503_cast_fp16 = add(x = var_2501_cast_fp16, y = var_2502_to_fp16)[name = string("op_2503_cast_fp16")]; tensor std_y_165_cast_fp16 = sqrt(x = var_2503_cast_fp16)[name = string("std_y_165_cast_fp16")]; tensor sep_module_40_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_40_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1580864)))]; tensor var_2506_cast_fp16 = mul(x = sep_module_40_tcn_6_norm_gamma_to_fp16, y = var_2498_cast_fp16)[name = string("op_2506_cast_fp16")]; tensor var_2507_cast_fp16 = real_div(x = var_2506_cast_fp16, y = std_y_165_cast_fp16)[name = string("op_2507_cast_fp16")]; tensor sep_module_40_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_40_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1581184)))]; tensor y_82_cast_fp16 = add(x = var_2507_cast_fp16, y = sep_module_40_tcn_6_norm_beta_to_fp16)[name = string("y_82_cast_fp16")]; tensor input_413_cast_fp16 = add(x = input_403_cast_fp16, y = y_82_cast_fp16)[name = string("input_413_cast_fp16")]; tensor var_2518 = const()[name = string("op_2518"), val = tensor([1])]; tensor var_2520 = const()[name = string("op_2520"), val = tensor([1])]; string input_415_pad_type_0 = const()[name = string("input_415_pad_type_0"), val = string("custom")]; tensor input_415_pad_0 = const()[name = string("input_415_pad_0"), val = tensor([0, 0])]; tensor sep_module_41_tcn_0_weight_to_fp16 = const()[name = string("sep_module_41_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1581504)))]; tensor input_415_cast_fp16 = conv(dilations = var_2520, groups = var_64, pad = input_415_pad_0, pad_type = input_415_pad_type_0, strides = var_2518, weight = sep_module_41_tcn_0_weight_to_fp16, x = input_413_cast_fp16)[name = string("input_415_cast_fp16")]; fp32 var_2524_alpha_1 = const()[name = string("op_2524_alpha_1"), val = fp32(-0x1.57e972p-3)]; tensor var_2524_cast_fp16 = leaky_relu(alpha = var_2524_alpha_1, x = input_415_cast_fp16)[name = string("op_2524_cast_fp16")]; tensor var_2528 = const()[name = string("op_2528"), val = tensor([1])]; tensor mean_y_167_cast_fp16 = reduce_mean(axes = var_2528, keep_dims = var_68, x = var_2524_cast_fp16)[name = string("mean_y_167_cast_fp16")]; tensor var_2530_cast_fp16 = sub(x = var_2524_cast_fp16, y = mean_y_167_cast_fp16)[name = string("op_2530_cast_fp16")]; tensor var_2531_cast_fp16 = square(x = var_2530_cast_fp16); tensor var_2532 = const()[name = string("op_2532"), val = tensor([1])]; tensor var_2533_cast_fp16 = reduce_mean(axes = var_2532, keep_dims = var_68, x = var_2531_cast_fp16)[name = string("op_2533_cast_fp16")]; fp16 var_2534_to_fp16 = const()[name = string("op_2534_to_fp16"), val = fp16(0x1p-14)]; tensor var_2535_cast_fp16 = add(x = var_2533_cast_fp16, y = var_2534_to_fp16)[name = string("op_2535_cast_fp16")]; tensor std_y_167_cast_fp16 = sqrt(x = var_2535_cast_fp16)[name = string("std_y_167_cast_fp16")]; tensor sep_module_41_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_41_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1614336)))]; tensor var_2538_cast_fp16 = mul(x = sep_module_41_tcn_2_norm_gamma_to_fp16, y = var_2530_cast_fp16)[name = string("op_2538_cast_fp16")]; tensor var_2539_cast_fp16 = real_div(x = var_2538_cast_fp16, y = std_y_167_cast_fp16)[name = string("op_2539_cast_fp16")]; tensor sep_module_41_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_41_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1614656)))]; tensor input_417_cast_fp16 = add(x = var_2539_cast_fp16, y = sep_module_41_tcn_2_norm_beta_to_fp16)[name = string("input_417_cast_fp16")]; tensor input_419_pad_0 = const()[name = string("input_419_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_419_mode_0 = const()[name = string("input_419_mode_0"), val = string("constant")]; fp16 const_41_to_fp16 = const()[name = string("const_41_to_fp16"), val = fp16(0x0p+0)]; tensor input_419_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_417_cast_fp16_in_state, input_417_cast_fp16)); tensor input_417_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_419_cast_fp16); tensor var_2544 = const()[name = string("op_2544"), val = tensor([1])]; tensor var_2546 = const()[name = string("op_2546"), val = tensor([32])]; string input_421_pad_type_0 = const()[name = string("input_421_pad_type_0"), val = string("custom")]; tensor input_421_pad_0 = const()[name = string("input_421_pad_0"), val = tensor([0, 0])]; tensor sep_module_41_tcn_4_weight_to_fp16 = const()[name = string("sep_module_41_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1614976)))]; tensor input_421_cast_fp16 = conv(dilations = var_2546, groups = var_65, pad = input_421_pad_0, pad_type = input_421_pad_type_0, strides = var_2544, weight = sep_module_41_tcn_4_weight_to_fp16, x = input_419_cast_fp16)[name = string("input_421_cast_fp16")]; fp32 var_2550_alpha_1 = const()[name = string("op_2550_alpha_1"), val = fp32(0x1.2072ap-1)]; tensor var_2550_cast_fp16 = leaky_relu(alpha = var_2550_alpha_1, x = input_421_cast_fp16)[name = string("op_2550_cast_fp16")]; tensor var_2554 = const()[name = string("op_2554"), val = tensor([1])]; tensor mean_y_169_cast_fp16 = reduce_mean(axes = var_2554, keep_dims = var_68, x = var_2550_cast_fp16)[name = string("mean_y_169_cast_fp16")]; tensor var_2556_cast_fp16 = sub(x = var_2550_cast_fp16, y = mean_y_169_cast_fp16)[name = string("op_2556_cast_fp16")]; tensor var_2557_cast_fp16 = square(x = var_2556_cast_fp16); tensor var_2558 = const()[name = string("op_2558"), val = tensor([1])]; tensor var_2559_cast_fp16 = reduce_mean(axes = var_2558, keep_dims = var_68, x = var_2557_cast_fp16)[name = string("op_2559_cast_fp16")]; fp16 var_2560_to_fp16 = const()[name = string("op_2560_to_fp16"), val = fp16(0x1p-14)]; tensor var_2561_cast_fp16 = add(x = var_2559_cast_fp16, y = var_2560_to_fp16)[name = string("op_2561_cast_fp16")]; tensor std_y_169_cast_fp16 = sqrt(x = var_2561_cast_fp16)[name = string("std_y_169_cast_fp16")]; tensor sep_module_41_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_41_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1615808)))]; tensor var_2564_cast_fp16 = mul(x = sep_module_41_tcn_6_norm_gamma_to_fp16, y = var_2556_cast_fp16)[name = string("op_2564_cast_fp16")]; tensor var_2565_cast_fp16 = real_div(x = var_2564_cast_fp16, y = std_y_169_cast_fp16)[name = string("op_2565_cast_fp16")]; tensor sep_module_41_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_41_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1616128)))]; tensor y_84_cast_fp16 = add(x = var_2565_cast_fp16, y = sep_module_41_tcn_6_norm_beta_to_fp16)[name = string("y_84_cast_fp16")]; tensor input_423_cast_fp16 = add(x = input_413_cast_fp16, y = y_84_cast_fp16)[name = string("input_423_cast_fp16")]; tensor var_2576 = const()[name = string("op_2576"), val = tensor([1])]; tensor var_2578 = const()[name = string("op_2578"), val = tensor([1])]; string input_425_pad_type_0 = const()[name = string("input_425_pad_type_0"), val = string("custom")]; tensor input_425_pad_0 = const()[name = string("input_425_pad_0"), val = tensor([0, 0])]; tensor sep_module_42_tcn_0_weight_to_fp16 = const()[name = string("sep_module_42_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1616448)))]; tensor input_425_cast_fp16 = conv(dilations = var_2578, groups = var_64, pad = input_425_pad_0, pad_type = input_425_pad_type_0, strides = var_2576, weight = sep_module_42_tcn_0_weight_to_fp16, x = input_423_cast_fp16)[name = string("input_425_cast_fp16")]; fp32 var_2582_alpha_1 = const()[name = string("op_2582_alpha_1"), val = fp32(0x1.ff46f8p-1)]; tensor var_2582_cast_fp16 = leaky_relu(alpha = var_2582_alpha_1, x = input_425_cast_fp16)[name = string("op_2582_cast_fp16")]; tensor var_2586 = const()[name = string("op_2586"), val = tensor([1])]; tensor mean_y_171_cast_fp16 = reduce_mean(axes = var_2586, keep_dims = var_68, x = var_2582_cast_fp16)[name = string("mean_y_171_cast_fp16")]; tensor var_2588_cast_fp16 = sub(x = var_2582_cast_fp16, y = mean_y_171_cast_fp16)[name = string("op_2588_cast_fp16")]; tensor var_2589_cast_fp16 = square(x = var_2588_cast_fp16); tensor var_2590 = const()[name = string("op_2590"), val = tensor([1])]; tensor var_2591_cast_fp16 = reduce_mean(axes = var_2590, keep_dims = var_68, x = var_2589_cast_fp16)[name = string("op_2591_cast_fp16")]; fp16 var_2592_to_fp16 = const()[name = string("op_2592_to_fp16"), val = fp16(0x1p-14)]; tensor var_2593_cast_fp16 = add(x = var_2591_cast_fp16, y = var_2592_to_fp16)[name = string("op_2593_cast_fp16")]; tensor std_y_171_cast_fp16 = sqrt(x = var_2593_cast_fp16)[name = string("std_y_171_cast_fp16")]; tensor sep_module_42_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_42_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1649280)))]; tensor var_2596_cast_fp16 = mul(x = sep_module_42_tcn_2_norm_gamma_to_fp16, y = var_2588_cast_fp16)[name = string("op_2596_cast_fp16")]; tensor var_2597_cast_fp16 = real_div(x = var_2596_cast_fp16, y = std_y_171_cast_fp16)[name = string("op_2597_cast_fp16")]; tensor sep_module_42_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_42_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1649600)))]; tensor input_427_cast_fp16 = add(x = var_2597_cast_fp16, y = sep_module_42_tcn_2_norm_beta_to_fp16)[name = string("input_427_cast_fp16")]; tensor input_429_pad_0 = const()[name = string("input_429_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_429_mode_0 = const()[name = string("input_429_mode_0"), val = string("constant")]; fp16 const_42_to_fp16 = const()[name = string("const_42_to_fp16"), val = fp16(0x0p+0)]; tensor input_429_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_427_cast_fp16_in_state, input_427_cast_fp16)); tensor input_427_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_429_cast_fp16); tensor var_2602 = const()[name = string("op_2602"), val = tensor([1])]; tensor var_2604 = const()[name = string("op_2604"), val = tensor([1])]; string input_431_pad_type_0 = const()[name = string("input_431_pad_type_0"), val = string("custom")]; tensor input_431_pad_0 = const()[name = string("input_431_pad_0"), val = tensor([0, 0])]; tensor sep_module_42_tcn_4_weight_to_fp16 = const()[name = string("sep_module_42_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1649920)))]; tensor input_431_cast_fp16 = conv(dilations = var_2604, groups = var_65, pad = input_431_pad_0, pad_type = input_431_pad_type_0, strides = var_2602, weight = sep_module_42_tcn_4_weight_to_fp16, x = input_429_cast_fp16)[name = string("input_431_cast_fp16")]; fp32 var_2608_alpha_1 = const()[name = string("op_2608_alpha_1"), val = fp32(0x1.ff4ca8p-1)]; tensor var_2608_cast_fp16 = leaky_relu(alpha = var_2608_alpha_1, x = input_431_cast_fp16)[name = string("op_2608_cast_fp16")]; tensor var_2612 = const()[name = string("op_2612"), val = tensor([1])]; tensor mean_y_173_cast_fp16 = reduce_mean(axes = var_2612, keep_dims = var_68, x = var_2608_cast_fp16)[name = string("mean_y_173_cast_fp16")]; tensor var_2614_cast_fp16 = sub(x = var_2608_cast_fp16, y = mean_y_173_cast_fp16)[name = string("op_2614_cast_fp16")]; tensor var_2615_cast_fp16 = square(x = var_2614_cast_fp16); tensor var_2616 = const()[name = string("op_2616"), val = tensor([1])]; tensor var_2617_cast_fp16 = reduce_mean(axes = var_2616, keep_dims = var_68, x = var_2615_cast_fp16)[name = string("op_2617_cast_fp16")]; fp16 var_2618_to_fp16 = const()[name = string("op_2618_to_fp16"), val = fp16(0x1p-14)]; tensor var_2619_cast_fp16 = add(x = var_2617_cast_fp16, y = var_2618_to_fp16)[name = string("op_2619_cast_fp16")]; tensor std_y_173_cast_fp16 = sqrt(x = var_2619_cast_fp16)[name = string("std_y_173_cast_fp16")]; tensor sep_module_42_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_42_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1650752)))]; tensor var_2622_cast_fp16 = mul(x = sep_module_42_tcn_6_norm_gamma_to_fp16, y = var_2614_cast_fp16)[name = string("op_2622_cast_fp16")]; tensor var_2623_cast_fp16 = real_div(x = var_2622_cast_fp16, y = std_y_173_cast_fp16)[name = string("op_2623_cast_fp16")]; tensor sep_module_42_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_42_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1651072)))]; tensor y_86_cast_fp16 = add(x = var_2623_cast_fp16, y = sep_module_42_tcn_6_norm_beta_to_fp16)[name = string("y_86_cast_fp16")]; tensor input_433_cast_fp16 = add(x = input_423_cast_fp16, y = y_86_cast_fp16)[name = string("input_433_cast_fp16")]; tensor var_2634 = const()[name = string("op_2634"), val = tensor([1])]; tensor var_2636 = const()[name = string("op_2636"), val = tensor([1])]; string input_435_pad_type_0 = const()[name = string("input_435_pad_type_0"), val = string("custom")]; tensor input_435_pad_0 = const()[name = string("input_435_pad_0"), val = tensor([0, 0])]; tensor sep_module_43_tcn_0_weight_to_fp16 = const()[name = string("sep_module_43_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1651392)))]; tensor input_435_cast_fp16 = conv(dilations = var_2636, groups = var_64, pad = input_435_pad_0, pad_type = input_435_pad_type_0, strides = var_2634, weight = sep_module_43_tcn_0_weight_to_fp16, x = input_433_cast_fp16)[name = string("input_435_cast_fp16")]; fp32 var_2640_alpha_1 = const()[name = string("op_2640_alpha_1"), val = fp32(-0x1.76916ap-1)]; tensor var_2640_cast_fp16 = leaky_relu(alpha = var_2640_alpha_1, x = input_435_cast_fp16)[name = string("op_2640_cast_fp16")]; tensor var_2644 = const()[name = string("op_2644"), val = tensor([1])]; tensor mean_y_175_cast_fp16 = reduce_mean(axes = var_2644, keep_dims = var_68, x = var_2640_cast_fp16)[name = string("mean_y_175_cast_fp16")]; tensor var_2646_cast_fp16 = sub(x = var_2640_cast_fp16, y = mean_y_175_cast_fp16)[name = string("op_2646_cast_fp16")]; tensor var_2647_cast_fp16 = square(x = var_2646_cast_fp16); tensor var_2648 = const()[name = string("op_2648"), val = tensor([1])]; tensor var_2649_cast_fp16 = reduce_mean(axes = var_2648, keep_dims = var_68, x = var_2647_cast_fp16)[name = string("op_2649_cast_fp16")]; fp16 var_2650_to_fp16 = const()[name = string("op_2650_to_fp16"), val = fp16(0x1p-14)]; tensor var_2651_cast_fp16 = add(x = var_2649_cast_fp16, y = var_2650_to_fp16)[name = string("op_2651_cast_fp16")]; tensor std_y_175_cast_fp16 = sqrt(x = var_2651_cast_fp16)[name = string("std_y_175_cast_fp16")]; tensor sep_module_43_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_43_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1684224)))]; tensor var_2654_cast_fp16 = mul(x = sep_module_43_tcn_2_norm_gamma_to_fp16, y = var_2646_cast_fp16)[name = string("op_2654_cast_fp16")]; tensor var_2655_cast_fp16 = real_div(x = var_2654_cast_fp16, y = std_y_175_cast_fp16)[name = string("op_2655_cast_fp16")]; tensor sep_module_43_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_43_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1684544)))]; tensor input_437_cast_fp16 = add(x = var_2655_cast_fp16, y = sep_module_43_tcn_2_norm_beta_to_fp16)[name = string("input_437_cast_fp16")]; tensor input_439_pad_0 = const()[name = string("input_439_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_439_mode_0 = const()[name = string("input_439_mode_0"), val = string("constant")]; fp16 const_43_to_fp16 = const()[name = string("const_43_to_fp16"), val = fp16(0x0p+0)]; tensor input_439_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_437_cast_fp16_in_state, input_437_cast_fp16)); tensor input_437_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_439_cast_fp16); tensor var_2660 = const()[name = string("op_2660"), val = tensor([1])]; tensor var_2662 = const()[name = string("op_2662"), val = tensor([2])]; string input_441_pad_type_0 = const()[name = string("input_441_pad_type_0"), val = string("custom")]; tensor input_441_pad_0 = const()[name = string("input_441_pad_0"), val = tensor([0, 0])]; tensor sep_module_43_tcn_4_weight_to_fp16 = const()[name = string("sep_module_43_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1684864)))]; tensor input_441_cast_fp16 = conv(dilations = var_2662, groups = var_65, pad = input_441_pad_0, pad_type = input_441_pad_type_0, strides = var_2660, weight = sep_module_43_tcn_4_weight_to_fp16, x = input_439_cast_fp16)[name = string("input_441_cast_fp16")]; fp32 var_2666_alpha_1 = const()[name = string("op_2666_alpha_1"), val = fp32(0x1.e2c662p-1)]; tensor var_2666_cast_fp16 = leaky_relu(alpha = var_2666_alpha_1, x = input_441_cast_fp16)[name = string("op_2666_cast_fp16")]; tensor var_2670 = const()[name = string("op_2670"), val = tensor([1])]; tensor mean_y_177_cast_fp16 = reduce_mean(axes = var_2670, keep_dims = var_68, x = var_2666_cast_fp16)[name = string("mean_y_177_cast_fp16")]; tensor var_2672_cast_fp16 = sub(x = var_2666_cast_fp16, y = mean_y_177_cast_fp16)[name = string("op_2672_cast_fp16")]; tensor var_2673_cast_fp16 = square(x = var_2672_cast_fp16); tensor var_2674 = const()[name = string("op_2674"), val = tensor([1])]; tensor var_2675_cast_fp16 = reduce_mean(axes = var_2674, keep_dims = var_68, x = var_2673_cast_fp16)[name = string("op_2675_cast_fp16")]; fp16 var_2676_to_fp16 = const()[name = string("op_2676_to_fp16"), val = fp16(0x1p-14)]; tensor var_2677_cast_fp16 = add(x = var_2675_cast_fp16, y = var_2676_to_fp16)[name = string("op_2677_cast_fp16")]; tensor std_y_177_cast_fp16 = sqrt(x = var_2677_cast_fp16)[name = string("std_y_177_cast_fp16")]; tensor sep_module_43_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_43_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1685696)))]; tensor var_2680_cast_fp16 = mul(x = sep_module_43_tcn_6_norm_gamma_to_fp16, y = var_2672_cast_fp16)[name = string("op_2680_cast_fp16")]; tensor var_2681_cast_fp16 = real_div(x = var_2680_cast_fp16, y = std_y_177_cast_fp16)[name = string("op_2681_cast_fp16")]; tensor sep_module_43_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_43_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1686016)))]; tensor y_88_cast_fp16 = add(x = var_2681_cast_fp16, y = sep_module_43_tcn_6_norm_beta_to_fp16)[name = string("y_88_cast_fp16")]; tensor input_443_cast_fp16 = add(x = input_433_cast_fp16, y = y_88_cast_fp16)[name = string("input_443_cast_fp16")]; tensor var_2692 = const()[name = string("op_2692"), val = tensor([1])]; tensor var_2694 = const()[name = string("op_2694"), val = tensor([1])]; string input_445_pad_type_0 = const()[name = string("input_445_pad_type_0"), val = string("custom")]; tensor input_445_pad_0 = const()[name = string("input_445_pad_0"), val = tensor([0, 0])]; tensor sep_module_44_tcn_0_weight_to_fp16 = const()[name = string("sep_module_44_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1686336)))]; tensor input_445_cast_fp16 = conv(dilations = var_2694, groups = var_64, pad = input_445_pad_0, pad_type = input_445_pad_type_0, strides = var_2692, weight = sep_module_44_tcn_0_weight_to_fp16, x = input_443_cast_fp16)[name = string("input_445_cast_fp16")]; fp32 var_2698_alpha_1 = const()[name = string("op_2698_alpha_1"), val = fp32(0x1.e25214p-4)]; tensor var_2698_cast_fp16 = leaky_relu(alpha = var_2698_alpha_1, x = input_445_cast_fp16)[name = string("op_2698_cast_fp16")]; tensor var_2702 = const()[name = string("op_2702"), val = tensor([1])]; tensor mean_y_179_cast_fp16 = reduce_mean(axes = var_2702, keep_dims = var_68, x = var_2698_cast_fp16)[name = string("mean_y_179_cast_fp16")]; tensor var_2704_cast_fp16 = sub(x = var_2698_cast_fp16, y = mean_y_179_cast_fp16)[name = string("op_2704_cast_fp16")]; tensor var_2705_cast_fp16 = square(x = var_2704_cast_fp16); tensor var_2706 = const()[name = string("op_2706"), val = tensor([1])]; tensor var_2707_cast_fp16 = reduce_mean(axes = var_2706, keep_dims = var_68, x = var_2705_cast_fp16)[name = string("op_2707_cast_fp16")]; fp16 var_2708_to_fp16 = const()[name = string("op_2708_to_fp16"), val = fp16(0x1p-14)]; tensor var_2709_cast_fp16 = add(x = var_2707_cast_fp16, y = var_2708_to_fp16)[name = string("op_2709_cast_fp16")]; tensor std_y_179_cast_fp16 = sqrt(x = var_2709_cast_fp16)[name = string("std_y_179_cast_fp16")]; tensor sep_module_44_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_44_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1719168)))]; tensor var_2712_cast_fp16 = mul(x = sep_module_44_tcn_2_norm_gamma_to_fp16, y = var_2704_cast_fp16)[name = string("op_2712_cast_fp16")]; tensor var_2713_cast_fp16 = real_div(x = var_2712_cast_fp16, y = std_y_179_cast_fp16)[name = string("op_2713_cast_fp16")]; tensor sep_module_44_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_44_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1719488)))]; tensor input_447_cast_fp16 = add(x = var_2713_cast_fp16, y = sep_module_44_tcn_2_norm_beta_to_fp16)[name = string("input_447_cast_fp16")]; tensor input_449_pad_0 = const()[name = string("input_449_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_449_mode_0 = const()[name = string("input_449_mode_0"), val = string("constant")]; fp16 const_44_to_fp16 = const()[name = string("const_44_to_fp16"), val = fp16(0x0p+0)]; tensor input_449_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_447_cast_fp16_in_state, input_447_cast_fp16)); tensor input_447_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_449_cast_fp16); tensor var_2718 = const()[name = string("op_2718"), val = tensor([1])]; tensor var_2720 = const()[name = string("op_2720"), val = tensor([4])]; string input_451_pad_type_0 = const()[name = string("input_451_pad_type_0"), val = string("custom")]; tensor input_451_pad_0 = const()[name = string("input_451_pad_0"), val = tensor([0, 0])]; tensor sep_module_44_tcn_4_weight_to_fp16 = const()[name = string("sep_module_44_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1719808)))]; tensor input_451_cast_fp16 = conv(dilations = var_2720, groups = var_65, pad = input_451_pad_0, pad_type = input_451_pad_type_0, strides = var_2718, weight = sep_module_44_tcn_4_weight_to_fp16, x = input_449_cast_fp16)[name = string("input_451_cast_fp16")]; fp32 var_2724_alpha_1 = const()[name = string("op_2724_alpha_1"), val = fp32(0x1.1b33dcp-1)]; tensor var_2724_cast_fp16 = leaky_relu(alpha = var_2724_alpha_1, x = input_451_cast_fp16)[name = string("op_2724_cast_fp16")]; tensor var_2728 = const()[name = string("op_2728"), val = tensor([1])]; tensor mean_y_181_cast_fp16 = reduce_mean(axes = var_2728, keep_dims = var_68, x = var_2724_cast_fp16)[name = string("mean_y_181_cast_fp16")]; tensor var_2730_cast_fp16 = sub(x = var_2724_cast_fp16, y = mean_y_181_cast_fp16)[name = string("op_2730_cast_fp16")]; tensor var_2731_cast_fp16 = square(x = var_2730_cast_fp16); tensor var_2732 = const()[name = string("op_2732"), val = tensor([1])]; tensor var_2733_cast_fp16 = reduce_mean(axes = var_2732, keep_dims = var_68, x = var_2731_cast_fp16)[name = string("op_2733_cast_fp16")]; fp16 var_2734_to_fp16 = const()[name = string("op_2734_to_fp16"), val = fp16(0x1p-14)]; tensor var_2735_cast_fp16 = add(x = var_2733_cast_fp16, y = var_2734_to_fp16)[name = string("op_2735_cast_fp16")]; tensor std_y_181_cast_fp16 = sqrt(x = var_2735_cast_fp16)[name = string("std_y_181_cast_fp16")]; tensor sep_module_44_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_44_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1720640)))]; tensor var_2738_cast_fp16 = mul(x = sep_module_44_tcn_6_norm_gamma_to_fp16, y = var_2730_cast_fp16)[name = string("op_2738_cast_fp16")]; tensor var_2739_cast_fp16 = real_div(x = var_2738_cast_fp16, y = std_y_181_cast_fp16)[name = string("op_2739_cast_fp16")]; tensor sep_module_44_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_44_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1720960)))]; tensor y_90_cast_fp16 = add(x = var_2739_cast_fp16, y = sep_module_44_tcn_6_norm_beta_to_fp16)[name = string("y_90_cast_fp16")]; tensor input_453_cast_fp16 = add(x = input_443_cast_fp16, y = y_90_cast_fp16)[name = string("input_453_cast_fp16")]; tensor var_2750 = const()[name = string("op_2750"), val = tensor([1])]; tensor var_2752 = const()[name = string("op_2752"), val = tensor([1])]; string input_455_pad_type_0 = const()[name = string("input_455_pad_type_0"), val = string("custom")]; tensor input_455_pad_0 = const()[name = string("input_455_pad_0"), val = tensor([0, 0])]; tensor sep_module_45_tcn_0_weight_to_fp16 = const()[name = string("sep_module_45_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1721280)))]; tensor input_455_cast_fp16 = conv(dilations = var_2752, groups = var_64, pad = input_455_pad_0, pad_type = input_455_pad_type_0, strides = var_2750, weight = sep_module_45_tcn_0_weight_to_fp16, x = input_453_cast_fp16)[name = string("input_455_cast_fp16")]; fp32 var_2756_alpha_1 = const()[name = string("op_2756_alpha_1"), val = fp32(-0x1.1ef79ep-2)]; tensor var_2756_cast_fp16 = leaky_relu(alpha = var_2756_alpha_1, x = input_455_cast_fp16)[name = string("op_2756_cast_fp16")]; tensor var_2760 = const()[name = string("op_2760"), val = tensor([1])]; tensor mean_y_183_cast_fp16 = reduce_mean(axes = var_2760, keep_dims = var_68, x = var_2756_cast_fp16)[name = string("mean_y_183_cast_fp16")]; tensor var_2762_cast_fp16 = sub(x = var_2756_cast_fp16, y = mean_y_183_cast_fp16)[name = string("op_2762_cast_fp16")]; tensor var_2763_cast_fp16 = square(x = var_2762_cast_fp16); tensor var_2764 = const()[name = string("op_2764"), val = tensor([1])]; tensor var_2765_cast_fp16 = reduce_mean(axes = var_2764, keep_dims = var_68, x = var_2763_cast_fp16)[name = string("op_2765_cast_fp16")]; fp16 var_2766_to_fp16 = const()[name = string("op_2766_to_fp16"), val = fp16(0x1p-14)]; tensor var_2767_cast_fp16 = add(x = var_2765_cast_fp16, y = var_2766_to_fp16)[name = string("op_2767_cast_fp16")]; tensor std_y_183_cast_fp16 = sqrt(x = var_2767_cast_fp16)[name = string("std_y_183_cast_fp16")]; tensor sep_module_45_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_45_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1754112)))]; tensor var_2770_cast_fp16 = mul(x = sep_module_45_tcn_2_norm_gamma_to_fp16, y = var_2762_cast_fp16)[name = string("op_2770_cast_fp16")]; tensor var_2771_cast_fp16 = real_div(x = var_2770_cast_fp16, y = std_y_183_cast_fp16)[name = string("op_2771_cast_fp16")]; tensor sep_module_45_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_45_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1754432)))]; tensor input_457_cast_fp16 = add(x = var_2771_cast_fp16, y = sep_module_45_tcn_2_norm_beta_to_fp16)[name = string("input_457_cast_fp16")]; tensor input_459_pad_0 = const()[name = string("input_459_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_459_mode_0 = const()[name = string("input_459_mode_0"), val = string("constant")]; fp16 const_45_to_fp16 = const()[name = string("const_45_to_fp16"), val = fp16(0x0p+0)]; tensor input_459_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_457_cast_fp16_in_state, input_457_cast_fp16)); tensor input_457_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_459_cast_fp16); tensor var_2776 = const()[name = string("op_2776"), val = tensor([1])]; tensor var_2778 = const()[name = string("op_2778"), val = tensor([8])]; string input_461_pad_type_0 = const()[name = string("input_461_pad_type_0"), val = string("custom")]; tensor input_461_pad_0 = const()[name = string("input_461_pad_0"), val = tensor([0, 0])]; tensor sep_module_45_tcn_4_weight_to_fp16 = const()[name = string("sep_module_45_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1754752)))]; tensor input_461_cast_fp16 = conv(dilations = var_2778, groups = var_65, pad = input_461_pad_0, pad_type = input_461_pad_type_0, strides = var_2776, weight = sep_module_45_tcn_4_weight_to_fp16, x = input_459_cast_fp16)[name = string("input_461_cast_fp16")]; fp32 var_2782_alpha_1 = const()[name = string("op_2782_alpha_1"), val = fp32(0x1.ff3bcap-1)]; tensor var_2782_cast_fp16 = leaky_relu(alpha = var_2782_alpha_1, x = input_461_cast_fp16)[name = string("op_2782_cast_fp16")]; tensor var_2786 = const()[name = string("op_2786"), val = tensor([1])]; tensor mean_y_185_cast_fp16 = reduce_mean(axes = var_2786, keep_dims = var_68, x = var_2782_cast_fp16)[name = string("mean_y_185_cast_fp16")]; tensor var_2788_cast_fp16 = sub(x = var_2782_cast_fp16, y = mean_y_185_cast_fp16)[name = string("op_2788_cast_fp16")]; tensor var_2789_cast_fp16 = square(x = var_2788_cast_fp16); tensor var_2790 = const()[name = string("op_2790"), val = tensor([1])]; tensor var_2791_cast_fp16 = reduce_mean(axes = var_2790, keep_dims = var_68, x = var_2789_cast_fp16)[name = string("op_2791_cast_fp16")]; fp16 var_2792_to_fp16 = const()[name = string("op_2792_to_fp16"), val = fp16(0x1p-14)]; tensor var_2793_cast_fp16 = add(x = var_2791_cast_fp16, y = var_2792_to_fp16)[name = string("op_2793_cast_fp16")]; tensor std_y_185_cast_fp16 = sqrt(x = var_2793_cast_fp16)[name = string("std_y_185_cast_fp16")]; tensor sep_module_45_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_45_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1755584)))]; tensor var_2796_cast_fp16 = mul(x = sep_module_45_tcn_6_norm_gamma_to_fp16, y = var_2788_cast_fp16)[name = string("op_2796_cast_fp16")]; tensor var_2797_cast_fp16 = real_div(x = var_2796_cast_fp16, y = std_y_185_cast_fp16)[name = string("op_2797_cast_fp16")]; tensor sep_module_45_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_45_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1755904)))]; tensor y_92_cast_fp16 = add(x = var_2797_cast_fp16, y = sep_module_45_tcn_6_norm_beta_to_fp16)[name = string("y_92_cast_fp16")]; tensor input_463_cast_fp16 = add(x = input_453_cast_fp16, y = y_92_cast_fp16)[name = string("input_463_cast_fp16")]; tensor var_2808 = const()[name = string("op_2808"), val = tensor([1])]; tensor var_2810 = const()[name = string("op_2810"), val = tensor([1])]; string input_465_pad_type_0 = const()[name = string("input_465_pad_type_0"), val = string("custom")]; tensor input_465_pad_0 = const()[name = string("input_465_pad_0"), val = tensor([0, 0])]; tensor sep_module_46_tcn_0_weight_to_fp16 = const()[name = string("sep_module_46_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1756224)))]; tensor input_465_cast_fp16 = conv(dilations = var_2810, groups = var_64, pad = input_465_pad_0, pad_type = input_465_pad_type_0, strides = var_2808, weight = sep_module_46_tcn_0_weight_to_fp16, x = input_463_cast_fp16)[name = string("input_465_cast_fp16")]; fp32 var_2814_alpha_1 = const()[name = string("op_2814_alpha_1"), val = fp32(-0x1.af0a2p-1)]; tensor var_2814_cast_fp16 = leaky_relu(alpha = var_2814_alpha_1, x = input_465_cast_fp16)[name = string("op_2814_cast_fp16")]; tensor var_2818 = const()[name = string("op_2818"), val = tensor([1])]; tensor mean_y_187_cast_fp16 = reduce_mean(axes = var_2818, keep_dims = var_68, x = var_2814_cast_fp16)[name = string("mean_y_187_cast_fp16")]; tensor var_2820_cast_fp16 = sub(x = var_2814_cast_fp16, y = mean_y_187_cast_fp16)[name = string("op_2820_cast_fp16")]; tensor var_2821_cast_fp16 = square(x = var_2820_cast_fp16); tensor var_2822 = const()[name = string("op_2822"), val = tensor([1])]; tensor var_2823_cast_fp16 = reduce_mean(axes = var_2822, keep_dims = var_68, x = var_2821_cast_fp16)[name = string("op_2823_cast_fp16")]; fp16 var_2824_to_fp16 = const()[name = string("op_2824_to_fp16"), val = fp16(0x1p-14)]; tensor var_2825_cast_fp16 = add(x = var_2823_cast_fp16, y = var_2824_to_fp16)[name = string("op_2825_cast_fp16")]; tensor std_y_187_cast_fp16 = sqrt(x = var_2825_cast_fp16)[name = string("std_y_187_cast_fp16")]; tensor sep_module_46_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_46_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1789056)))]; tensor var_2828_cast_fp16 = mul(x = sep_module_46_tcn_2_norm_gamma_to_fp16, y = var_2820_cast_fp16)[name = string("op_2828_cast_fp16")]; tensor var_2829_cast_fp16 = real_div(x = var_2828_cast_fp16, y = std_y_187_cast_fp16)[name = string("op_2829_cast_fp16")]; tensor sep_module_46_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_46_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1789376)))]; tensor input_467_cast_fp16 = add(x = var_2829_cast_fp16, y = sep_module_46_tcn_2_norm_beta_to_fp16)[name = string("input_467_cast_fp16")]; tensor input_469_pad_0 = const()[name = string("input_469_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_469_mode_0 = const()[name = string("input_469_mode_0"), val = string("constant")]; fp16 const_46_to_fp16 = const()[name = string("const_46_to_fp16"), val = fp16(0x0p+0)]; tensor input_469_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_467_cast_fp16_in_state, input_467_cast_fp16)); tensor input_467_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_469_cast_fp16); tensor var_2834 = const()[name = string("op_2834"), val = tensor([1])]; tensor var_2836 = const()[name = string("op_2836"), val = tensor([16])]; string input_471_pad_type_0 = const()[name = string("input_471_pad_type_0"), val = string("custom")]; tensor input_471_pad_0 = const()[name = string("input_471_pad_0"), val = tensor([0, 0])]; tensor sep_module_46_tcn_4_weight_to_fp16 = const()[name = string("sep_module_46_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1789696)))]; tensor input_471_cast_fp16 = conv(dilations = var_2836, groups = var_65, pad = input_471_pad_0, pad_type = input_471_pad_type_0, strides = var_2834, weight = sep_module_46_tcn_4_weight_to_fp16, x = input_469_cast_fp16)[name = string("input_471_cast_fp16")]; fp32 var_2840_alpha_1 = const()[name = string("op_2840_alpha_1"), val = fp32(0x1.d860a8p-2)]; tensor var_2840_cast_fp16 = leaky_relu(alpha = var_2840_alpha_1, x = input_471_cast_fp16)[name = string("op_2840_cast_fp16")]; tensor var_2844 = const()[name = string("op_2844"), val = tensor([1])]; tensor mean_y_189_cast_fp16 = reduce_mean(axes = var_2844, keep_dims = var_68, x = var_2840_cast_fp16)[name = string("mean_y_189_cast_fp16")]; tensor var_2846_cast_fp16 = sub(x = var_2840_cast_fp16, y = mean_y_189_cast_fp16)[name = string("op_2846_cast_fp16")]; tensor var_2847_cast_fp16 = square(x = var_2846_cast_fp16); tensor var_2848 = const()[name = string("op_2848"), val = tensor([1])]; tensor var_2849_cast_fp16 = reduce_mean(axes = var_2848, keep_dims = var_68, x = var_2847_cast_fp16)[name = string("op_2849_cast_fp16")]; fp16 var_2850_to_fp16 = const()[name = string("op_2850_to_fp16"), val = fp16(0x1p-14)]; tensor var_2851_cast_fp16 = add(x = var_2849_cast_fp16, y = var_2850_to_fp16)[name = string("op_2851_cast_fp16")]; tensor std_y_189_cast_fp16 = sqrt(x = var_2851_cast_fp16)[name = string("std_y_189_cast_fp16")]; tensor sep_module_46_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_46_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1790528)))]; tensor var_2854_cast_fp16 = mul(x = sep_module_46_tcn_6_norm_gamma_to_fp16, y = var_2846_cast_fp16)[name = string("op_2854_cast_fp16")]; tensor var_2855_cast_fp16 = real_div(x = var_2854_cast_fp16, y = std_y_189_cast_fp16)[name = string("op_2855_cast_fp16")]; tensor sep_module_46_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_46_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1790848)))]; tensor y_94_cast_fp16 = add(x = var_2855_cast_fp16, y = sep_module_46_tcn_6_norm_beta_to_fp16)[name = string("y_94_cast_fp16")]; tensor input_473_cast_fp16 = add(x = input_463_cast_fp16, y = y_94_cast_fp16)[name = string("input_473_cast_fp16")]; tensor var_2866 = const()[name = string("op_2866"), val = tensor([1])]; tensor var_2868 = const()[name = string("op_2868"), val = tensor([1])]; string input_475_pad_type_0 = const()[name = string("input_475_pad_type_0"), val = string("custom")]; tensor input_475_pad_0 = const()[name = string("input_475_pad_0"), val = tensor([0, 0])]; tensor sep_module_47_tcn_0_weight_to_fp16 = const()[name = string("sep_module_47_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1791168)))]; tensor input_475_cast_fp16 = conv(dilations = var_2868, groups = var_64, pad = input_475_pad_0, pad_type = input_475_pad_type_0, strides = var_2866, weight = sep_module_47_tcn_0_weight_to_fp16, x = input_473_cast_fp16)[name = string("input_475_cast_fp16")]; fp32 var_2872_alpha_1 = const()[name = string("op_2872_alpha_1"), val = fp32(0x1.f833fap-1)]; tensor var_2872_cast_fp16 = leaky_relu(alpha = var_2872_alpha_1, x = input_475_cast_fp16)[name = string("op_2872_cast_fp16")]; tensor var_2876 = const()[name = string("op_2876"), val = tensor([1])]; tensor mean_y_191_cast_fp16 = reduce_mean(axes = var_2876, keep_dims = var_68, x = var_2872_cast_fp16)[name = string("mean_y_191_cast_fp16")]; tensor var_2878_cast_fp16 = sub(x = var_2872_cast_fp16, y = mean_y_191_cast_fp16)[name = string("op_2878_cast_fp16")]; tensor var_2879_cast_fp16 = square(x = var_2878_cast_fp16); tensor var_2880 = const()[name = string("op_2880"), val = tensor([1])]; tensor var_2881_cast_fp16 = reduce_mean(axes = var_2880, keep_dims = var_68, x = var_2879_cast_fp16)[name = string("op_2881_cast_fp16")]; fp16 var_2882_to_fp16 = const()[name = string("op_2882_to_fp16"), val = fp16(0x1p-14)]; tensor var_2883_cast_fp16 = add(x = var_2881_cast_fp16, y = var_2882_to_fp16)[name = string("op_2883_cast_fp16")]; tensor std_y_191_cast_fp16 = sqrt(x = var_2883_cast_fp16)[name = string("std_y_191_cast_fp16")]; tensor sep_module_47_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_47_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1824000)))]; tensor var_2886_cast_fp16 = mul(x = sep_module_47_tcn_2_norm_gamma_to_fp16, y = var_2878_cast_fp16)[name = string("op_2886_cast_fp16")]; tensor var_2887_cast_fp16 = real_div(x = var_2886_cast_fp16, y = std_y_191_cast_fp16)[name = string("op_2887_cast_fp16")]; tensor sep_module_47_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_47_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1824320)))]; tensor input_477_cast_fp16 = add(x = var_2887_cast_fp16, y = sep_module_47_tcn_2_norm_beta_to_fp16)[name = string("input_477_cast_fp16")]; tensor input_479_pad_0 = const()[name = string("input_479_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_479_mode_0 = const()[name = string("input_479_mode_0"), val = string("constant")]; fp16 const_47_to_fp16 = const()[name = string("const_47_to_fp16"), val = fp16(0x0p+0)]; tensor input_479_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_477_cast_fp16_in_state, input_477_cast_fp16)); tensor input_477_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_479_cast_fp16); tensor var_2892 = const()[name = string("op_2892"), val = tensor([1])]; tensor var_2894 = const()[name = string("op_2894"), val = tensor([32])]; string input_481_pad_type_0 = const()[name = string("input_481_pad_type_0"), val = string("custom")]; tensor input_481_pad_0 = const()[name = string("input_481_pad_0"), val = tensor([0, 0])]; tensor sep_module_47_tcn_4_weight_to_fp16 = const()[name = string("sep_module_47_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1824640)))]; tensor input_481_cast_fp16 = conv(dilations = var_2894, groups = var_65, pad = input_481_pad_0, pad_type = input_481_pad_type_0, strides = var_2892, weight = sep_module_47_tcn_4_weight_to_fp16, x = input_479_cast_fp16)[name = string("input_481_cast_fp16")]; fp32 var_2898_alpha_1 = const()[name = string("op_2898_alpha_1"), val = fp32(0x1.00c23ep+0)]; tensor var_2898_cast_fp16 = leaky_relu(alpha = var_2898_alpha_1, x = input_481_cast_fp16)[name = string("op_2898_cast_fp16")]; tensor var_2902 = const()[name = string("op_2902"), val = tensor([1])]; tensor mean_y_193_cast_fp16 = reduce_mean(axes = var_2902, keep_dims = var_68, x = var_2898_cast_fp16)[name = string("mean_y_193_cast_fp16")]; tensor var_2904_cast_fp16 = sub(x = var_2898_cast_fp16, y = mean_y_193_cast_fp16)[name = string("op_2904_cast_fp16")]; tensor var_2905_cast_fp16 = square(x = var_2904_cast_fp16); tensor var_2906 = const()[name = string("op_2906"), val = tensor([1])]; tensor var_2907_cast_fp16 = reduce_mean(axes = var_2906, keep_dims = var_68, x = var_2905_cast_fp16)[name = string("op_2907_cast_fp16")]; fp16 var_2908_to_fp16 = const()[name = string("op_2908_to_fp16"), val = fp16(0x1p-14)]; tensor var_2909_cast_fp16 = add(x = var_2907_cast_fp16, y = var_2908_to_fp16)[name = string("op_2909_cast_fp16")]; tensor std_y_193_cast_fp16 = sqrt(x = var_2909_cast_fp16)[name = string("std_y_193_cast_fp16")]; tensor sep_module_47_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_47_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1825472)))]; tensor var_2912_cast_fp16 = mul(x = sep_module_47_tcn_6_norm_gamma_to_fp16, y = var_2904_cast_fp16)[name = string("op_2912_cast_fp16")]; tensor var_2913_cast_fp16 = real_div(x = var_2912_cast_fp16, y = std_y_193_cast_fp16)[name = string("op_2913_cast_fp16")]; tensor sep_module_47_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_47_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1825792)))]; tensor y_96_cast_fp16 = add(x = var_2913_cast_fp16, y = sep_module_47_tcn_6_norm_beta_to_fp16)[name = string("y_96_cast_fp16")]; tensor input_483_cast_fp16 = add(x = input_473_cast_fp16, y = y_96_cast_fp16)[name = string("input_483_cast_fp16")]; tensor var_2924 = const()[name = string("op_2924"), val = tensor([1])]; tensor var_2926 = const()[name = string("op_2926"), val = tensor([1])]; string input_485_pad_type_0 = const()[name = string("input_485_pad_type_0"), val = string("custom")]; tensor input_485_pad_0 = const()[name = string("input_485_pad_0"), val = tensor([0, 0])]; tensor sep_module_48_tcn_0_weight_to_fp16 = const()[name = string("sep_module_48_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1826112)))]; tensor input_485_cast_fp16 = conv(dilations = var_2926, groups = var_64, pad = input_485_pad_0, pad_type = input_485_pad_type_0, strides = var_2924, weight = sep_module_48_tcn_0_weight_to_fp16, x = input_483_cast_fp16)[name = string("input_485_cast_fp16")]; fp32 var_2930_alpha_1 = const()[name = string("op_2930_alpha_1"), val = fp32(0x1.4673e6p-3)]; tensor var_2930_cast_fp16 = leaky_relu(alpha = var_2930_alpha_1, x = input_485_cast_fp16)[name = string("op_2930_cast_fp16")]; tensor var_2934 = const()[name = string("op_2934"), val = tensor([1])]; tensor mean_y_195_cast_fp16 = reduce_mean(axes = var_2934, keep_dims = var_68, x = var_2930_cast_fp16)[name = string("mean_y_195_cast_fp16")]; tensor var_2936_cast_fp16 = sub(x = var_2930_cast_fp16, y = mean_y_195_cast_fp16)[name = string("op_2936_cast_fp16")]; tensor var_2937_cast_fp16 = square(x = var_2936_cast_fp16); tensor var_2938 = const()[name = string("op_2938"), val = tensor([1])]; tensor var_2939_cast_fp16 = reduce_mean(axes = var_2938, keep_dims = var_68, x = var_2937_cast_fp16)[name = string("op_2939_cast_fp16")]; fp16 var_2940_to_fp16 = const()[name = string("op_2940_to_fp16"), val = fp16(0x1p-14)]; tensor var_2941_cast_fp16 = add(x = var_2939_cast_fp16, y = var_2940_to_fp16)[name = string("op_2941_cast_fp16")]; tensor std_y_195_cast_fp16 = sqrt(x = var_2941_cast_fp16)[name = string("std_y_195_cast_fp16")]; tensor sep_module_48_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_48_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1858944)))]; tensor var_2944_cast_fp16 = mul(x = sep_module_48_tcn_2_norm_gamma_to_fp16, y = var_2936_cast_fp16)[name = string("op_2944_cast_fp16")]; tensor var_2945_cast_fp16 = real_div(x = var_2944_cast_fp16, y = std_y_195_cast_fp16)[name = string("op_2945_cast_fp16")]; tensor sep_module_48_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_48_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1859264)))]; tensor input_487_cast_fp16 = add(x = var_2945_cast_fp16, y = sep_module_48_tcn_2_norm_beta_to_fp16)[name = string("input_487_cast_fp16")]; tensor input_489_pad_0 = const()[name = string("input_489_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_489_mode_0 = const()[name = string("input_489_mode_0"), val = string("constant")]; fp16 const_48_to_fp16 = const()[name = string("const_48_to_fp16"), val = fp16(0x0p+0)]; tensor input_489_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_487_cast_fp16_in_state, input_487_cast_fp16)); tensor input_487_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_489_cast_fp16); tensor var_2950 = const()[name = string("op_2950"), val = tensor([1])]; tensor var_2952 = const()[name = string("op_2952"), val = tensor([1])]; string input_491_pad_type_0 = const()[name = string("input_491_pad_type_0"), val = string("custom")]; tensor input_491_pad_0 = const()[name = string("input_491_pad_0"), val = tensor([0, 0])]; tensor sep_module_48_tcn_4_weight_to_fp16 = const()[name = string("sep_module_48_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1859584)))]; tensor input_491_cast_fp16 = conv(dilations = var_2952, groups = var_65, pad = input_491_pad_0, pad_type = input_491_pad_type_0, strides = var_2950, weight = sep_module_48_tcn_4_weight_to_fp16, x = input_489_cast_fp16)[name = string("input_491_cast_fp16")]; fp32 var_2956_alpha_1 = const()[name = string("op_2956_alpha_1"), val = fp32(0x1.dd31eep-1)]; tensor var_2956_cast_fp16 = leaky_relu(alpha = var_2956_alpha_1, x = input_491_cast_fp16)[name = string("op_2956_cast_fp16")]; tensor var_2960 = const()[name = string("op_2960"), val = tensor([1])]; tensor mean_y_197_cast_fp16 = reduce_mean(axes = var_2960, keep_dims = var_68, x = var_2956_cast_fp16)[name = string("mean_y_197_cast_fp16")]; tensor var_2962_cast_fp16 = sub(x = var_2956_cast_fp16, y = mean_y_197_cast_fp16)[name = string("op_2962_cast_fp16")]; tensor var_2963_cast_fp16 = square(x = var_2962_cast_fp16); tensor var_2964 = const()[name = string("op_2964"), val = tensor([1])]; tensor var_2965_cast_fp16 = reduce_mean(axes = var_2964, keep_dims = var_68, x = var_2963_cast_fp16)[name = string("op_2965_cast_fp16")]; fp16 var_2966_to_fp16 = const()[name = string("op_2966_to_fp16"), val = fp16(0x1p-14)]; tensor var_2967_cast_fp16 = add(x = var_2965_cast_fp16, y = var_2966_to_fp16)[name = string("op_2967_cast_fp16")]; tensor std_y_197_cast_fp16 = sqrt(x = var_2967_cast_fp16)[name = string("std_y_197_cast_fp16")]; tensor sep_module_48_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_48_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1860416)))]; tensor var_2970_cast_fp16 = mul(x = sep_module_48_tcn_6_norm_gamma_to_fp16, y = var_2962_cast_fp16)[name = string("op_2970_cast_fp16")]; tensor var_2971_cast_fp16 = real_div(x = var_2970_cast_fp16, y = std_y_197_cast_fp16)[name = string("op_2971_cast_fp16")]; tensor sep_module_48_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_48_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1860736)))]; tensor y_98_cast_fp16 = add(x = var_2971_cast_fp16, y = sep_module_48_tcn_6_norm_beta_to_fp16)[name = string("y_98_cast_fp16")]; tensor input_493_cast_fp16 = add(x = input_483_cast_fp16, y = y_98_cast_fp16)[name = string("input_493_cast_fp16")]; tensor var_2982 = const()[name = string("op_2982"), val = tensor([1])]; tensor var_2984 = const()[name = string("op_2984"), val = tensor([1])]; string input_495_pad_type_0 = const()[name = string("input_495_pad_type_0"), val = string("custom")]; tensor input_495_pad_0 = const()[name = string("input_495_pad_0"), val = tensor([0, 0])]; tensor sep_module_49_tcn_0_weight_to_fp16 = const()[name = string("sep_module_49_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1861056)))]; tensor input_495_cast_fp16 = conv(dilations = var_2984, groups = var_64, pad = input_495_pad_0, pad_type = input_495_pad_type_0, strides = var_2982, weight = sep_module_49_tcn_0_weight_to_fp16, x = input_493_cast_fp16)[name = string("input_495_cast_fp16")]; fp32 var_2988_alpha_1 = const()[name = string("op_2988_alpha_1"), val = fp32(-0x1.a95b0ep-2)]; tensor var_2988_cast_fp16 = leaky_relu(alpha = var_2988_alpha_1, x = input_495_cast_fp16)[name = string("op_2988_cast_fp16")]; tensor var_2992 = const()[name = string("op_2992"), val = tensor([1])]; tensor mean_y_199_cast_fp16 = reduce_mean(axes = var_2992, keep_dims = var_68, x = var_2988_cast_fp16)[name = string("mean_y_199_cast_fp16")]; tensor var_2994_cast_fp16 = sub(x = var_2988_cast_fp16, y = mean_y_199_cast_fp16)[name = string("op_2994_cast_fp16")]; tensor var_2995_cast_fp16 = square(x = var_2994_cast_fp16); tensor var_2996 = const()[name = string("op_2996"), val = tensor([1])]; tensor var_2997_cast_fp16 = reduce_mean(axes = var_2996, keep_dims = var_68, x = var_2995_cast_fp16)[name = string("op_2997_cast_fp16")]; fp16 var_2998_to_fp16 = const()[name = string("op_2998_to_fp16"), val = fp16(0x1p-14)]; tensor var_2999_cast_fp16 = add(x = var_2997_cast_fp16, y = var_2998_to_fp16)[name = string("op_2999_cast_fp16")]; tensor std_y_199_cast_fp16 = sqrt(x = var_2999_cast_fp16)[name = string("std_y_199_cast_fp16")]; tensor sep_module_49_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_49_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1893888)))]; tensor var_3002_cast_fp16 = mul(x = sep_module_49_tcn_2_norm_gamma_to_fp16, y = var_2994_cast_fp16)[name = string("op_3002_cast_fp16")]; tensor var_3003_cast_fp16 = real_div(x = var_3002_cast_fp16, y = std_y_199_cast_fp16)[name = string("op_3003_cast_fp16")]; tensor sep_module_49_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_49_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1894208)))]; tensor input_497_cast_fp16 = add(x = var_3003_cast_fp16, y = sep_module_49_tcn_2_norm_beta_to_fp16)[name = string("input_497_cast_fp16")]; tensor input_499_pad_0 = const()[name = string("input_499_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_499_mode_0 = const()[name = string("input_499_mode_0"), val = string("constant")]; fp16 const_49_to_fp16 = const()[name = string("const_49_to_fp16"), val = fp16(0x0p+0)]; tensor input_499_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_497_cast_fp16_in_state, input_497_cast_fp16)); tensor input_497_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_499_cast_fp16); tensor var_3008 = const()[name = string("op_3008"), val = tensor([1])]; tensor var_3010 = const()[name = string("op_3010"), val = tensor([2])]; string input_501_pad_type_0 = const()[name = string("input_501_pad_type_0"), val = string("custom")]; tensor input_501_pad_0 = const()[name = string("input_501_pad_0"), val = tensor([0, 0])]; tensor sep_module_49_tcn_4_weight_to_fp16 = const()[name = string("sep_module_49_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1894528)))]; tensor input_501_cast_fp16 = conv(dilations = var_3010, groups = var_65, pad = input_501_pad_0, pad_type = input_501_pad_type_0, strides = var_3008, weight = sep_module_49_tcn_4_weight_to_fp16, x = input_499_cast_fp16)[name = string("input_501_cast_fp16")]; fp32 var_3014_alpha_1 = const()[name = string("op_3014_alpha_1"), val = fp32(0x1.c7f278p-2)]; tensor var_3014_cast_fp16 = leaky_relu(alpha = var_3014_alpha_1, x = input_501_cast_fp16)[name = string("op_3014_cast_fp16")]; tensor var_3018 = const()[name = string("op_3018"), val = tensor([1])]; tensor mean_y_201_cast_fp16 = reduce_mean(axes = var_3018, keep_dims = var_68, x = var_3014_cast_fp16)[name = string("mean_y_201_cast_fp16")]; tensor var_3020_cast_fp16 = sub(x = var_3014_cast_fp16, y = mean_y_201_cast_fp16)[name = string("op_3020_cast_fp16")]; tensor var_3021_cast_fp16 = square(x = var_3020_cast_fp16); tensor var_3022 = const()[name = string("op_3022"), val = tensor([1])]; tensor var_3023_cast_fp16 = reduce_mean(axes = var_3022, keep_dims = var_68, x = var_3021_cast_fp16)[name = string("op_3023_cast_fp16")]; fp16 var_3024_to_fp16 = const()[name = string("op_3024_to_fp16"), val = fp16(0x1p-14)]; tensor var_3025_cast_fp16 = add(x = var_3023_cast_fp16, y = var_3024_to_fp16)[name = string("op_3025_cast_fp16")]; tensor std_y_201_cast_fp16 = sqrt(x = var_3025_cast_fp16)[name = string("std_y_201_cast_fp16")]; tensor sep_module_49_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_49_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1895360)))]; tensor var_3028_cast_fp16 = mul(x = sep_module_49_tcn_6_norm_gamma_to_fp16, y = var_3020_cast_fp16)[name = string("op_3028_cast_fp16")]; tensor var_3029_cast_fp16 = real_div(x = var_3028_cast_fp16, y = std_y_201_cast_fp16)[name = string("op_3029_cast_fp16")]; tensor sep_module_49_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_49_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1895680)))]; tensor y_100_cast_fp16 = add(x = var_3029_cast_fp16, y = sep_module_49_tcn_6_norm_beta_to_fp16)[name = string("y_100_cast_fp16")]; tensor input_503_cast_fp16 = add(x = input_493_cast_fp16, y = y_100_cast_fp16)[name = string("input_503_cast_fp16")]; tensor var_3040 = const()[name = string("op_3040"), val = tensor([1])]; tensor var_3042 = const()[name = string("op_3042"), val = tensor([1])]; string input_505_pad_type_0 = const()[name = string("input_505_pad_type_0"), val = string("custom")]; tensor input_505_pad_0 = const()[name = string("input_505_pad_0"), val = tensor([0, 0])]; tensor sep_module_50_tcn_0_weight_to_fp16 = const()[name = string("sep_module_50_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1896000)))]; tensor input_505_cast_fp16 = conv(dilations = var_3042, groups = var_64, pad = input_505_pad_0, pad_type = input_505_pad_type_0, strides = var_3040, weight = sep_module_50_tcn_0_weight_to_fp16, x = input_503_cast_fp16)[name = string("input_505_cast_fp16")]; fp32 var_3046_alpha_1 = const()[name = string("op_3046_alpha_1"), val = fp32(-0x1.9dcdacp-3)]; tensor var_3046_cast_fp16 = leaky_relu(alpha = var_3046_alpha_1, x = input_505_cast_fp16)[name = string("op_3046_cast_fp16")]; tensor var_3050 = const()[name = string("op_3050"), val = tensor([1])]; tensor mean_y_203_cast_fp16 = reduce_mean(axes = var_3050, keep_dims = var_68, x = var_3046_cast_fp16)[name = string("mean_y_203_cast_fp16")]; tensor var_3052_cast_fp16 = sub(x = var_3046_cast_fp16, y = mean_y_203_cast_fp16)[name = string("op_3052_cast_fp16")]; tensor var_3053_cast_fp16 = square(x = var_3052_cast_fp16); tensor var_3054 = const()[name = string("op_3054"), val = tensor([1])]; tensor var_3055_cast_fp16 = reduce_mean(axes = var_3054, keep_dims = var_68, x = var_3053_cast_fp16)[name = string("op_3055_cast_fp16")]; fp16 var_3056_to_fp16 = const()[name = string("op_3056_to_fp16"), val = fp16(0x1p-14)]; tensor var_3057_cast_fp16 = add(x = var_3055_cast_fp16, y = var_3056_to_fp16)[name = string("op_3057_cast_fp16")]; tensor std_y_203_cast_fp16 = sqrt(x = var_3057_cast_fp16)[name = string("std_y_203_cast_fp16")]; tensor sep_module_50_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_50_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1928832)))]; tensor var_3060_cast_fp16 = mul(x = sep_module_50_tcn_2_norm_gamma_to_fp16, y = var_3052_cast_fp16)[name = string("op_3060_cast_fp16")]; tensor var_3061_cast_fp16 = real_div(x = var_3060_cast_fp16, y = std_y_203_cast_fp16)[name = string("op_3061_cast_fp16")]; tensor sep_module_50_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_50_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1929152)))]; tensor input_507_cast_fp16 = add(x = var_3061_cast_fp16, y = sep_module_50_tcn_2_norm_beta_to_fp16)[name = string("input_507_cast_fp16")]; tensor input_509_pad_0 = const()[name = string("input_509_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_509_mode_0 = const()[name = string("input_509_mode_0"), val = string("constant")]; fp16 const_50_to_fp16 = const()[name = string("const_50_to_fp16"), val = fp16(0x0p+0)]; tensor input_509_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_507_cast_fp16_in_state, input_507_cast_fp16)); tensor input_507_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_509_cast_fp16); tensor var_3066 = const()[name = string("op_3066"), val = tensor([1])]; tensor var_3068 = const()[name = string("op_3068"), val = tensor([4])]; string input_511_pad_type_0 = const()[name = string("input_511_pad_type_0"), val = string("custom")]; tensor input_511_pad_0 = const()[name = string("input_511_pad_0"), val = tensor([0, 0])]; tensor sep_module_50_tcn_4_weight_to_fp16 = const()[name = string("sep_module_50_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1929472)))]; tensor input_511_cast_fp16 = conv(dilations = var_3068, groups = var_65, pad = input_511_pad_0, pad_type = input_511_pad_type_0, strides = var_3066, weight = sep_module_50_tcn_4_weight_to_fp16, x = input_509_cast_fp16)[name = string("input_511_cast_fp16")]; fp32 var_3072_alpha_1 = const()[name = string("op_3072_alpha_1"), val = fp32(0x1.fe41acp-2)]; tensor var_3072_cast_fp16 = leaky_relu(alpha = var_3072_alpha_1, x = input_511_cast_fp16)[name = string("op_3072_cast_fp16")]; tensor var_3076 = const()[name = string("op_3076"), val = tensor([1])]; tensor mean_y_205_cast_fp16 = reduce_mean(axes = var_3076, keep_dims = var_68, x = var_3072_cast_fp16)[name = string("mean_y_205_cast_fp16")]; tensor var_3078_cast_fp16 = sub(x = var_3072_cast_fp16, y = mean_y_205_cast_fp16)[name = string("op_3078_cast_fp16")]; tensor var_3079_cast_fp16 = square(x = var_3078_cast_fp16); tensor var_3080 = const()[name = string("op_3080"), val = tensor([1])]; tensor var_3081_cast_fp16 = reduce_mean(axes = var_3080, keep_dims = var_68, x = var_3079_cast_fp16)[name = string("op_3081_cast_fp16")]; fp16 var_3082_to_fp16 = const()[name = string("op_3082_to_fp16"), val = fp16(0x1p-14)]; tensor var_3083_cast_fp16 = add(x = var_3081_cast_fp16, y = var_3082_to_fp16)[name = string("op_3083_cast_fp16")]; tensor std_y_205_cast_fp16 = sqrt(x = var_3083_cast_fp16)[name = string("std_y_205_cast_fp16")]; tensor sep_module_50_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_50_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1930304)))]; tensor var_3086_cast_fp16 = mul(x = sep_module_50_tcn_6_norm_gamma_to_fp16, y = var_3078_cast_fp16)[name = string("op_3086_cast_fp16")]; tensor var_3087_cast_fp16 = real_div(x = var_3086_cast_fp16, y = std_y_205_cast_fp16)[name = string("op_3087_cast_fp16")]; tensor sep_module_50_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_50_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1930624)))]; tensor y_102_cast_fp16 = add(x = var_3087_cast_fp16, y = sep_module_50_tcn_6_norm_beta_to_fp16)[name = string("y_102_cast_fp16")]; tensor input_513_cast_fp16 = add(x = input_503_cast_fp16, y = y_102_cast_fp16)[name = string("input_513_cast_fp16")]; tensor var_3098 = const()[name = string("op_3098"), val = tensor([1])]; tensor var_3100 = const()[name = string("op_3100"), val = tensor([1])]; string input_515_pad_type_0 = const()[name = string("input_515_pad_type_0"), val = string("custom")]; tensor input_515_pad_0 = const()[name = string("input_515_pad_0"), val = tensor([0, 0])]; tensor sep_module_51_tcn_0_weight_to_fp16 = const()[name = string("sep_module_51_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1930944)))]; tensor input_515_cast_fp16 = conv(dilations = var_3100, groups = var_64, pad = input_515_pad_0, pad_type = input_515_pad_type_0, strides = var_3098, weight = sep_module_51_tcn_0_weight_to_fp16, x = input_513_cast_fp16)[name = string("input_515_cast_fp16")]; fp32 var_3104_alpha_1 = const()[name = string("op_3104_alpha_1"), val = fp32(0x1.a0b00cp-1)]; tensor var_3104_cast_fp16 = leaky_relu(alpha = var_3104_alpha_1, x = input_515_cast_fp16)[name = string("op_3104_cast_fp16")]; tensor var_3108 = const()[name = string("op_3108"), val = tensor([1])]; tensor mean_y_207_cast_fp16 = reduce_mean(axes = var_3108, keep_dims = var_68, x = var_3104_cast_fp16)[name = string("mean_y_207_cast_fp16")]; tensor var_3110_cast_fp16 = sub(x = var_3104_cast_fp16, y = mean_y_207_cast_fp16)[name = string("op_3110_cast_fp16")]; tensor var_3111_cast_fp16 = square(x = var_3110_cast_fp16); tensor var_3112 = const()[name = string("op_3112"), val = tensor([1])]; tensor var_3113_cast_fp16 = reduce_mean(axes = var_3112, keep_dims = var_68, x = var_3111_cast_fp16)[name = string("op_3113_cast_fp16")]; fp16 var_3114_to_fp16 = const()[name = string("op_3114_to_fp16"), val = fp16(0x1p-14)]; tensor var_3115_cast_fp16 = add(x = var_3113_cast_fp16, y = var_3114_to_fp16)[name = string("op_3115_cast_fp16")]; tensor std_y_207_cast_fp16 = sqrt(x = var_3115_cast_fp16)[name = string("std_y_207_cast_fp16")]; tensor sep_module_51_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_51_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1963776)))]; tensor var_3118_cast_fp16 = mul(x = sep_module_51_tcn_2_norm_gamma_to_fp16, y = var_3110_cast_fp16)[name = string("op_3118_cast_fp16")]; tensor var_3119_cast_fp16 = real_div(x = var_3118_cast_fp16, y = std_y_207_cast_fp16)[name = string("op_3119_cast_fp16")]; tensor sep_module_51_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_51_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1964096)))]; tensor input_517_cast_fp16 = add(x = var_3119_cast_fp16, y = sep_module_51_tcn_2_norm_beta_to_fp16)[name = string("input_517_cast_fp16")]; tensor input_519_pad_0 = const()[name = string("input_519_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_519_mode_0 = const()[name = string("input_519_mode_0"), val = string("constant")]; fp16 const_51_to_fp16 = const()[name = string("const_51_to_fp16"), val = fp16(0x0p+0)]; tensor input_519_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_517_cast_fp16_in_state, input_517_cast_fp16)); tensor input_517_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_519_cast_fp16); tensor var_3124 = const()[name = string("op_3124"), val = tensor([1])]; tensor var_3126 = const()[name = string("op_3126"), val = tensor([8])]; string input_521_pad_type_0 = const()[name = string("input_521_pad_type_0"), val = string("custom")]; tensor input_521_pad_0 = const()[name = string("input_521_pad_0"), val = tensor([0, 0])]; tensor sep_module_51_tcn_4_weight_to_fp16 = const()[name = string("sep_module_51_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1964416)))]; tensor input_521_cast_fp16 = conv(dilations = var_3126, groups = var_65, pad = input_521_pad_0, pad_type = input_521_pad_type_0, strides = var_3124, weight = sep_module_51_tcn_4_weight_to_fp16, x = input_519_cast_fp16)[name = string("input_521_cast_fp16")]; fp32 var_3130_alpha_1 = const()[name = string("op_3130_alpha_1"), val = fp32(0x1.a8399p-1)]; tensor var_3130_cast_fp16 = leaky_relu(alpha = var_3130_alpha_1, x = input_521_cast_fp16)[name = string("op_3130_cast_fp16")]; tensor var_3134 = const()[name = string("op_3134"), val = tensor([1])]; tensor mean_y_209_cast_fp16 = reduce_mean(axes = var_3134, keep_dims = var_68, x = var_3130_cast_fp16)[name = string("mean_y_209_cast_fp16")]; tensor var_3136_cast_fp16 = sub(x = var_3130_cast_fp16, y = mean_y_209_cast_fp16)[name = string("op_3136_cast_fp16")]; tensor var_3137_cast_fp16 = square(x = var_3136_cast_fp16); tensor var_3138 = const()[name = string("op_3138"), val = tensor([1])]; tensor var_3139_cast_fp16 = reduce_mean(axes = var_3138, keep_dims = var_68, x = var_3137_cast_fp16)[name = string("op_3139_cast_fp16")]; fp16 var_3140_to_fp16 = const()[name = string("op_3140_to_fp16"), val = fp16(0x1p-14)]; tensor var_3141_cast_fp16 = add(x = var_3139_cast_fp16, y = var_3140_to_fp16)[name = string("op_3141_cast_fp16")]; tensor std_y_209_cast_fp16 = sqrt(x = var_3141_cast_fp16)[name = string("std_y_209_cast_fp16")]; tensor sep_module_51_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_51_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1965248)))]; tensor var_3144_cast_fp16 = mul(x = sep_module_51_tcn_6_norm_gamma_to_fp16, y = var_3136_cast_fp16)[name = string("op_3144_cast_fp16")]; tensor var_3145_cast_fp16 = real_div(x = var_3144_cast_fp16, y = std_y_209_cast_fp16)[name = string("op_3145_cast_fp16")]; tensor sep_module_51_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_51_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1965568)))]; tensor y_104_cast_fp16 = add(x = var_3145_cast_fp16, y = sep_module_51_tcn_6_norm_beta_to_fp16)[name = string("y_104_cast_fp16")]; tensor input_523_cast_fp16 = add(x = input_513_cast_fp16, y = y_104_cast_fp16)[name = string("input_523_cast_fp16")]; tensor var_3156 = const()[name = string("op_3156"), val = tensor([1])]; tensor var_3158 = const()[name = string("op_3158"), val = tensor([1])]; string input_525_pad_type_0 = const()[name = string("input_525_pad_type_0"), val = string("custom")]; tensor input_525_pad_0 = const()[name = string("input_525_pad_0"), val = tensor([0, 0])]; tensor sep_module_52_tcn_0_weight_to_fp16 = const()[name = string("sep_module_52_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1965888)))]; tensor input_525_cast_fp16 = conv(dilations = var_3158, groups = var_64, pad = input_525_pad_0, pad_type = input_525_pad_type_0, strides = var_3156, weight = sep_module_52_tcn_0_weight_to_fp16, x = input_523_cast_fp16)[name = string("input_525_cast_fp16")]; fp32 var_3162_alpha_1 = const()[name = string("op_3162_alpha_1"), val = fp32(-0x1.07f416p-1)]; tensor var_3162_cast_fp16 = leaky_relu(alpha = var_3162_alpha_1, x = input_525_cast_fp16)[name = string("op_3162_cast_fp16")]; tensor var_3166 = const()[name = string("op_3166"), val = tensor([1])]; tensor mean_y_211_cast_fp16 = reduce_mean(axes = var_3166, keep_dims = var_68, x = var_3162_cast_fp16)[name = string("mean_y_211_cast_fp16")]; tensor var_3168_cast_fp16 = sub(x = var_3162_cast_fp16, y = mean_y_211_cast_fp16)[name = string("op_3168_cast_fp16")]; tensor var_3169_cast_fp16 = square(x = var_3168_cast_fp16); tensor var_3170 = const()[name = string("op_3170"), val = tensor([1])]; tensor var_3171_cast_fp16 = reduce_mean(axes = var_3170, keep_dims = var_68, x = var_3169_cast_fp16)[name = string("op_3171_cast_fp16")]; fp16 var_3172_to_fp16 = const()[name = string("op_3172_to_fp16"), val = fp16(0x1p-14)]; tensor var_3173_cast_fp16 = add(x = var_3171_cast_fp16, y = var_3172_to_fp16)[name = string("op_3173_cast_fp16")]; tensor std_y_211_cast_fp16 = sqrt(x = var_3173_cast_fp16)[name = string("std_y_211_cast_fp16")]; tensor sep_module_52_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_52_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1998720)))]; tensor var_3176_cast_fp16 = mul(x = sep_module_52_tcn_2_norm_gamma_to_fp16, y = var_3168_cast_fp16)[name = string("op_3176_cast_fp16")]; tensor var_3177_cast_fp16 = real_div(x = var_3176_cast_fp16, y = std_y_211_cast_fp16)[name = string("op_3177_cast_fp16")]; tensor sep_module_52_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_52_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1999040)))]; tensor input_527_cast_fp16 = add(x = var_3177_cast_fp16, y = sep_module_52_tcn_2_norm_beta_to_fp16)[name = string("input_527_cast_fp16")]; tensor input_529_pad_0 = const()[name = string("input_529_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_529_mode_0 = const()[name = string("input_529_mode_0"), val = string("constant")]; fp16 const_52_to_fp16 = const()[name = string("const_52_to_fp16"), val = fp16(0x0p+0)]; tensor input_529_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_527_cast_fp16_in_state, input_527_cast_fp16)); tensor input_527_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_529_cast_fp16); tensor var_3182 = const()[name = string("op_3182"), val = tensor([1])]; tensor var_3184 = const()[name = string("op_3184"), val = tensor([16])]; string input_531_pad_type_0 = const()[name = string("input_531_pad_type_0"), val = string("custom")]; tensor input_531_pad_0 = const()[name = string("input_531_pad_0"), val = tensor([0, 0])]; tensor sep_module_52_tcn_4_weight_to_fp16 = const()[name = string("sep_module_52_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(1999360)))]; tensor input_531_cast_fp16 = conv(dilations = var_3184, groups = var_65, pad = input_531_pad_0, pad_type = input_531_pad_type_0, strides = var_3182, weight = sep_module_52_tcn_4_weight_to_fp16, x = input_529_cast_fp16)[name = string("input_531_cast_fp16")]; fp32 var_3188_alpha_1 = const()[name = string("op_3188_alpha_1"), val = fp32(0x1.7097f2p+0)]; tensor var_3188_cast_fp16 = leaky_relu(alpha = var_3188_alpha_1, x = input_531_cast_fp16)[name = string("op_3188_cast_fp16")]; tensor var_3192 = const()[name = string("op_3192"), val = tensor([1])]; tensor mean_y_213_cast_fp16 = reduce_mean(axes = var_3192, keep_dims = var_68, x = var_3188_cast_fp16)[name = string("mean_y_213_cast_fp16")]; tensor var_3194_cast_fp16 = sub(x = var_3188_cast_fp16, y = mean_y_213_cast_fp16)[name = string("op_3194_cast_fp16")]; tensor var_3195_cast_fp16 = square(x = var_3194_cast_fp16); tensor var_3196 = const()[name = string("op_3196"), val = tensor([1])]; tensor var_3197_cast_fp16 = reduce_mean(axes = var_3196, keep_dims = var_68, x = var_3195_cast_fp16)[name = string("op_3197_cast_fp16")]; fp16 var_3198_to_fp16 = const()[name = string("op_3198_to_fp16"), val = fp16(0x1p-14)]; tensor var_3199_cast_fp16 = add(x = var_3197_cast_fp16, y = var_3198_to_fp16)[name = string("op_3199_cast_fp16")]; tensor std_y_213_cast_fp16 = sqrt(x = var_3199_cast_fp16)[name = string("std_y_213_cast_fp16")]; tensor sep_module_52_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_52_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2000192)))]; tensor var_3202_cast_fp16 = mul(x = sep_module_52_tcn_6_norm_gamma_to_fp16, y = var_3194_cast_fp16)[name = string("op_3202_cast_fp16")]; tensor var_3203_cast_fp16 = real_div(x = var_3202_cast_fp16, y = std_y_213_cast_fp16)[name = string("op_3203_cast_fp16")]; tensor sep_module_52_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_52_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2000512)))]; tensor y_106_cast_fp16 = add(x = var_3203_cast_fp16, y = sep_module_52_tcn_6_norm_beta_to_fp16)[name = string("y_106_cast_fp16")]; tensor input_533_cast_fp16 = add(x = input_523_cast_fp16, y = y_106_cast_fp16)[name = string("input_533_cast_fp16")]; tensor var_3214 = const()[name = string("op_3214"), val = tensor([1])]; tensor var_3216 = const()[name = string("op_3216"), val = tensor([1])]; string input_535_pad_type_0 = const()[name = string("input_535_pad_type_0"), val = string("custom")]; tensor input_535_pad_0 = const()[name = string("input_535_pad_0"), val = tensor([0, 0])]; tensor sep_module_53_tcn_0_weight_to_fp16 = const()[name = string("sep_module_53_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2000832)))]; tensor input_535_cast_fp16 = conv(dilations = var_3216, groups = var_64, pad = input_535_pad_0, pad_type = input_535_pad_type_0, strides = var_3214, weight = sep_module_53_tcn_0_weight_to_fp16, x = input_533_cast_fp16)[name = string("input_535_cast_fp16")]; fp32 var_3220_alpha_1 = const()[name = string("op_3220_alpha_1"), val = fp32(0x1.fecf52p-1)]; tensor var_3220_cast_fp16 = leaky_relu(alpha = var_3220_alpha_1, x = input_535_cast_fp16)[name = string("op_3220_cast_fp16")]; tensor var_3224 = const()[name = string("op_3224"), val = tensor([1])]; tensor mean_y_215_cast_fp16 = reduce_mean(axes = var_3224, keep_dims = var_68, x = var_3220_cast_fp16)[name = string("mean_y_215_cast_fp16")]; tensor var_3226_cast_fp16 = sub(x = var_3220_cast_fp16, y = mean_y_215_cast_fp16)[name = string("op_3226_cast_fp16")]; tensor var_3227_cast_fp16 = square(x = var_3226_cast_fp16); tensor var_3228 = const()[name = string("op_3228"), val = tensor([1])]; tensor var_3229_cast_fp16 = reduce_mean(axes = var_3228, keep_dims = var_68, x = var_3227_cast_fp16)[name = string("op_3229_cast_fp16")]; fp16 var_3230_to_fp16 = const()[name = string("op_3230_to_fp16"), val = fp16(0x1p-14)]; tensor var_3231_cast_fp16 = add(x = var_3229_cast_fp16, y = var_3230_to_fp16)[name = string("op_3231_cast_fp16")]; tensor std_y_215_cast_fp16 = sqrt(x = var_3231_cast_fp16)[name = string("std_y_215_cast_fp16")]; tensor sep_module_53_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_53_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2033664)))]; tensor var_3234_cast_fp16 = mul(x = sep_module_53_tcn_2_norm_gamma_to_fp16, y = var_3226_cast_fp16)[name = string("op_3234_cast_fp16")]; tensor var_3235_cast_fp16 = real_div(x = var_3234_cast_fp16, y = std_y_215_cast_fp16)[name = string("op_3235_cast_fp16")]; tensor sep_module_53_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_53_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2033984)))]; tensor input_537_cast_fp16 = add(x = var_3235_cast_fp16, y = sep_module_53_tcn_2_norm_beta_to_fp16)[name = string("input_537_cast_fp16")]; tensor input_539_pad_0 = const()[name = string("input_539_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_539_mode_0 = const()[name = string("input_539_mode_0"), val = string("constant")]; fp16 const_53_to_fp16 = const()[name = string("const_53_to_fp16"), val = fp16(0x0p+0)]; tensor input_539_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_537_cast_fp16_in_state, input_537_cast_fp16)); tensor input_537_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_539_cast_fp16); tensor var_3240 = const()[name = string("op_3240"), val = tensor([1])]; tensor var_3242 = const()[name = string("op_3242"), val = tensor([32])]; string input_541_pad_type_0 = const()[name = string("input_541_pad_type_0"), val = string("custom")]; tensor input_541_pad_0 = const()[name = string("input_541_pad_0"), val = tensor([0, 0])]; tensor sep_module_53_tcn_4_weight_to_fp16 = const()[name = string("sep_module_53_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2034304)))]; tensor input_541_cast_fp16 = conv(dilations = var_3242, groups = var_65, pad = input_541_pad_0, pad_type = input_541_pad_type_0, strides = var_3240, weight = sep_module_53_tcn_4_weight_to_fp16, x = input_539_cast_fp16)[name = string("input_541_cast_fp16")]; fp32 var_3246_alpha_1 = const()[name = string("op_3246_alpha_1"), val = fp32(0x1.ff7faap-1)]; tensor var_3246_cast_fp16 = leaky_relu(alpha = var_3246_alpha_1, x = input_541_cast_fp16)[name = string("op_3246_cast_fp16")]; tensor var_3250 = const()[name = string("op_3250"), val = tensor([1])]; tensor mean_y_217_cast_fp16 = reduce_mean(axes = var_3250, keep_dims = var_68, x = var_3246_cast_fp16)[name = string("mean_y_217_cast_fp16")]; tensor var_3252_cast_fp16 = sub(x = var_3246_cast_fp16, y = mean_y_217_cast_fp16)[name = string("op_3252_cast_fp16")]; tensor var_3253_cast_fp16 = square(x = var_3252_cast_fp16); tensor var_3254 = const()[name = string("op_3254"), val = tensor([1])]; tensor var_3255_cast_fp16 = reduce_mean(axes = var_3254, keep_dims = var_68, x = var_3253_cast_fp16)[name = string("op_3255_cast_fp16")]; fp16 var_3256_to_fp16 = const()[name = string("op_3256_to_fp16"), val = fp16(0x1p-14)]; tensor var_3257_cast_fp16 = add(x = var_3255_cast_fp16, y = var_3256_to_fp16)[name = string("op_3257_cast_fp16")]; tensor std_y_217_cast_fp16 = sqrt(x = var_3257_cast_fp16)[name = string("std_y_217_cast_fp16")]; tensor sep_module_53_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_53_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2035136)))]; tensor var_3260_cast_fp16 = mul(x = sep_module_53_tcn_6_norm_gamma_to_fp16, y = var_3252_cast_fp16)[name = string("op_3260_cast_fp16")]; tensor var_3261_cast_fp16 = real_div(x = var_3260_cast_fp16, y = std_y_217_cast_fp16)[name = string("op_3261_cast_fp16")]; tensor sep_module_53_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_53_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2035456)))]; tensor y_108_cast_fp16 = add(x = var_3261_cast_fp16, y = sep_module_53_tcn_6_norm_beta_to_fp16)[name = string("y_108_cast_fp16")]; tensor input_543_cast_fp16 = add(x = input_533_cast_fp16, y = y_108_cast_fp16)[name = string("input_543_cast_fp16")]; tensor var_3272 = const()[name = string("op_3272"), val = tensor([1])]; tensor var_3274 = const()[name = string("op_3274"), val = tensor([1])]; string input_545_pad_type_0 = const()[name = string("input_545_pad_type_0"), val = string("custom")]; tensor input_545_pad_0 = const()[name = string("input_545_pad_0"), val = tensor([0, 0])]; tensor sep_module_54_tcn_0_weight_to_fp16 = const()[name = string("sep_module_54_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2035776)))]; tensor input_545_cast_fp16 = conv(dilations = var_3274, groups = var_64, pad = input_545_pad_0, pad_type = input_545_pad_type_0, strides = var_3272, weight = sep_module_54_tcn_0_weight_to_fp16, x = input_543_cast_fp16)[name = string("input_545_cast_fp16")]; fp32 var_3278_alpha_1 = const()[name = string("op_3278_alpha_1"), val = fp32(0x1.fd36d4p-1)]; tensor var_3278_cast_fp16 = leaky_relu(alpha = var_3278_alpha_1, x = input_545_cast_fp16)[name = string("op_3278_cast_fp16")]; tensor var_3282 = const()[name = string("op_3282"), val = tensor([1])]; tensor mean_y_219_cast_fp16 = reduce_mean(axes = var_3282, keep_dims = var_68, x = var_3278_cast_fp16)[name = string("mean_y_219_cast_fp16")]; tensor var_3284_cast_fp16 = sub(x = var_3278_cast_fp16, y = mean_y_219_cast_fp16)[name = string("op_3284_cast_fp16")]; tensor var_3285_cast_fp16 = square(x = var_3284_cast_fp16); tensor var_3286 = const()[name = string("op_3286"), val = tensor([1])]; tensor var_3287_cast_fp16 = reduce_mean(axes = var_3286, keep_dims = var_68, x = var_3285_cast_fp16)[name = string("op_3287_cast_fp16")]; fp16 var_3288_to_fp16 = const()[name = string("op_3288_to_fp16"), val = fp16(0x1p-14)]; tensor var_3289_cast_fp16 = add(x = var_3287_cast_fp16, y = var_3288_to_fp16)[name = string("op_3289_cast_fp16")]; tensor std_y_219_cast_fp16 = sqrt(x = var_3289_cast_fp16)[name = string("std_y_219_cast_fp16")]; tensor sep_module_54_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_54_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2068608)))]; tensor var_3292_cast_fp16 = mul(x = sep_module_54_tcn_2_norm_gamma_to_fp16, y = var_3284_cast_fp16)[name = string("op_3292_cast_fp16")]; tensor var_3293_cast_fp16 = real_div(x = var_3292_cast_fp16, y = std_y_219_cast_fp16)[name = string("op_3293_cast_fp16")]; tensor sep_module_54_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_54_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2068928)))]; tensor input_547_cast_fp16 = add(x = var_3293_cast_fp16, y = sep_module_54_tcn_2_norm_beta_to_fp16)[name = string("input_547_cast_fp16")]; tensor input_549_pad_0 = const()[name = string("input_549_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; string input_549_mode_0 = const()[name = string("input_549_mode_0"), val = string("constant")]; fp16 const_54_to_fp16 = const()[name = string("const_54_to_fp16"), val = fp16(0x0p+0)]; tensor input_549_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_547_cast_fp16_in_state, input_547_cast_fp16)); tensor input_547_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -2]), size = tensor([1, 128, 2]), x = input_549_cast_fp16); tensor var_3298 = const()[name = string("op_3298"), val = tensor([1])]; tensor var_3300 = const()[name = string("op_3300"), val = tensor([1])]; string input_551_pad_type_0 = const()[name = string("input_551_pad_type_0"), val = string("custom")]; tensor input_551_pad_0 = const()[name = string("input_551_pad_0"), val = tensor([0, 0])]; tensor sep_module_54_tcn_4_weight_to_fp16 = const()[name = string("sep_module_54_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2069248)))]; tensor input_551_cast_fp16 = conv(dilations = var_3300, groups = var_65, pad = input_551_pad_0, pad_type = input_551_pad_type_0, strides = var_3298, weight = sep_module_54_tcn_4_weight_to_fp16, x = input_549_cast_fp16)[name = string("input_551_cast_fp16")]; fp32 var_3304_alpha_1 = const()[name = string("op_3304_alpha_1"), val = fp32(0x1.f9b4d2p-1)]; tensor var_3304_cast_fp16 = leaky_relu(alpha = var_3304_alpha_1, x = input_551_cast_fp16)[name = string("op_3304_cast_fp16")]; tensor var_3308 = const()[name = string("op_3308"), val = tensor([1])]; tensor mean_y_221_cast_fp16 = reduce_mean(axes = var_3308, keep_dims = var_68, x = var_3304_cast_fp16)[name = string("mean_y_221_cast_fp16")]; tensor var_3310_cast_fp16 = sub(x = var_3304_cast_fp16, y = mean_y_221_cast_fp16)[name = string("op_3310_cast_fp16")]; tensor var_3311_cast_fp16 = square(x = var_3310_cast_fp16); tensor var_3312 = const()[name = string("op_3312"), val = tensor([1])]; tensor var_3313_cast_fp16 = reduce_mean(axes = var_3312, keep_dims = var_68, x = var_3311_cast_fp16)[name = string("op_3313_cast_fp16")]; fp16 var_3314_to_fp16 = const()[name = string("op_3314_to_fp16"), val = fp16(0x1p-14)]; tensor var_3315_cast_fp16 = add(x = var_3313_cast_fp16, y = var_3314_to_fp16)[name = string("op_3315_cast_fp16")]; tensor std_y_221_cast_fp16 = sqrt(x = var_3315_cast_fp16)[name = string("std_y_221_cast_fp16")]; tensor sep_module_54_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_54_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2070080)))]; tensor var_3318_cast_fp16 = mul(x = sep_module_54_tcn_6_norm_gamma_to_fp16, y = var_3310_cast_fp16)[name = string("op_3318_cast_fp16")]; tensor var_3319_cast_fp16 = real_div(x = var_3318_cast_fp16, y = std_y_221_cast_fp16)[name = string("op_3319_cast_fp16")]; tensor sep_module_54_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_54_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2070400)))]; tensor y_110_cast_fp16 = add(x = var_3319_cast_fp16, y = sep_module_54_tcn_6_norm_beta_to_fp16)[name = string("y_110_cast_fp16")]; tensor input_553_cast_fp16 = add(x = input_543_cast_fp16, y = y_110_cast_fp16)[name = string("input_553_cast_fp16")]; tensor var_3330 = const()[name = string("op_3330"), val = tensor([1])]; tensor var_3332 = const()[name = string("op_3332"), val = tensor([1])]; string input_555_pad_type_0 = const()[name = string("input_555_pad_type_0"), val = string("custom")]; tensor input_555_pad_0 = const()[name = string("input_555_pad_0"), val = tensor([0, 0])]; tensor sep_module_55_tcn_0_weight_to_fp16 = const()[name = string("sep_module_55_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2070720)))]; tensor input_555_cast_fp16 = conv(dilations = var_3332, groups = var_64, pad = input_555_pad_0, pad_type = input_555_pad_type_0, strides = var_3330, weight = sep_module_55_tcn_0_weight_to_fp16, x = input_553_cast_fp16)[name = string("input_555_cast_fp16")]; fp32 var_3336_alpha_1 = const()[name = string("op_3336_alpha_1"), val = fp32(0x1.aaa49ap-2)]; tensor var_3336_cast_fp16 = leaky_relu(alpha = var_3336_alpha_1, x = input_555_cast_fp16)[name = string("op_3336_cast_fp16")]; tensor var_3340 = const()[name = string("op_3340"), val = tensor([1])]; tensor mean_y_223_cast_fp16 = reduce_mean(axes = var_3340, keep_dims = var_68, x = var_3336_cast_fp16)[name = string("mean_y_223_cast_fp16")]; tensor var_3342_cast_fp16 = sub(x = var_3336_cast_fp16, y = mean_y_223_cast_fp16)[name = string("op_3342_cast_fp16")]; tensor var_3343_cast_fp16 = square(x = var_3342_cast_fp16); tensor var_3344 = const()[name = string("op_3344"), val = tensor([1])]; tensor var_3345_cast_fp16 = reduce_mean(axes = var_3344, keep_dims = var_68, x = var_3343_cast_fp16)[name = string("op_3345_cast_fp16")]; fp16 var_3346_to_fp16 = const()[name = string("op_3346_to_fp16"), val = fp16(0x1p-14)]; tensor var_3347_cast_fp16 = add(x = var_3345_cast_fp16, y = var_3346_to_fp16)[name = string("op_3347_cast_fp16")]; tensor std_y_223_cast_fp16 = sqrt(x = var_3347_cast_fp16)[name = string("std_y_223_cast_fp16")]; tensor sep_module_55_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_55_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2103552)))]; tensor var_3350_cast_fp16 = mul(x = sep_module_55_tcn_2_norm_gamma_to_fp16, y = var_3342_cast_fp16)[name = string("op_3350_cast_fp16")]; tensor var_3351_cast_fp16 = real_div(x = var_3350_cast_fp16, y = std_y_223_cast_fp16)[name = string("op_3351_cast_fp16")]; tensor sep_module_55_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_55_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2103872)))]; tensor input_557_cast_fp16 = add(x = var_3351_cast_fp16, y = sep_module_55_tcn_2_norm_beta_to_fp16)[name = string("input_557_cast_fp16")]; tensor input_559_pad_0 = const()[name = string("input_559_pad_0"), val = tensor([0, 0, 0, 0, 4, 0])]; string input_559_mode_0 = const()[name = string("input_559_mode_0"), val = string("constant")]; fp16 const_55_to_fp16 = const()[name = string("const_55_to_fp16"), val = fp16(0x0p+0)]; tensor input_559_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_557_cast_fp16_in_state, input_557_cast_fp16)); tensor input_557_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -4]), size = tensor([1, 128, 4]), x = input_559_cast_fp16); tensor var_3356 = const()[name = string("op_3356"), val = tensor([1])]; tensor var_3358 = const()[name = string("op_3358"), val = tensor([2])]; string input_561_pad_type_0 = const()[name = string("input_561_pad_type_0"), val = string("custom")]; tensor input_561_pad_0 = const()[name = string("input_561_pad_0"), val = tensor([0, 0])]; tensor sep_module_55_tcn_4_weight_to_fp16 = const()[name = string("sep_module_55_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2104192)))]; tensor input_561_cast_fp16 = conv(dilations = var_3358, groups = var_65, pad = input_561_pad_0, pad_type = input_561_pad_type_0, strides = var_3356, weight = sep_module_55_tcn_4_weight_to_fp16, x = input_559_cast_fp16)[name = string("input_561_cast_fp16")]; fp32 var_3362_alpha_1 = const()[name = string("op_3362_alpha_1"), val = fp32(0x1.b23eb4p-2)]; tensor var_3362_cast_fp16 = leaky_relu(alpha = var_3362_alpha_1, x = input_561_cast_fp16)[name = string("op_3362_cast_fp16")]; tensor var_3366 = const()[name = string("op_3366"), val = tensor([1])]; tensor mean_y_225_cast_fp16 = reduce_mean(axes = var_3366, keep_dims = var_68, x = var_3362_cast_fp16)[name = string("mean_y_225_cast_fp16")]; tensor var_3368_cast_fp16 = sub(x = var_3362_cast_fp16, y = mean_y_225_cast_fp16)[name = string("op_3368_cast_fp16")]; tensor var_3369_cast_fp16 = square(x = var_3368_cast_fp16); tensor var_3370 = const()[name = string("op_3370"), val = tensor([1])]; tensor var_3371_cast_fp16 = reduce_mean(axes = var_3370, keep_dims = var_68, x = var_3369_cast_fp16)[name = string("op_3371_cast_fp16")]; fp16 var_3372_to_fp16 = const()[name = string("op_3372_to_fp16"), val = fp16(0x1p-14)]; tensor var_3373_cast_fp16 = add(x = var_3371_cast_fp16, y = var_3372_to_fp16)[name = string("op_3373_cast_fp16")]; tensor std_y_225_cast_fp16 = sqrt(x = var_3373_cast_fp16)[name = string("std_y_225_cast_fp16")]; tensor sep_module_55_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_55_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2105024)))]; tensor var_3376_cast_fp16 = mul(x = sep_module_55_tcn_6_norm_gamma_to_fp16, y = var_3368_cast_fp16)[name = string("op_3376_cast_fp16")]; tensor var_3377_cast_fp16 = real_div(x = var_3376_cast_fp16, y = std_y_225_cast_fp16)[name = string("op_3377_cast_fp16")]; tensor sep_module_55_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_55_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2105344)))]; tensor y_112_cast_fp16 = add(x = var_3377_cast_fp16, y = sep_module_55_tcn_6_norm_beta_to_fp16)[name = string("y_112_cast_fp16")]; tensor input_563_cast_fp16 = add(x = input_553_cast_fp16, y = y_112_cast_fp16)[name = string("input_563_cast_fp16")]; tensor var_3388 = const()[name = string("op_3388"), val = tensor([1])]; tensor var_3390 = const()[name = string("op_3390"), val = tensor([1])]; string input_565_pad_type_0 = const()[name = string("input_565_pad_type_0"), val = string("custom")]; tensor input_565_pad_0 = const()[name = string("input_565_pad_0"), val = tensor([0, 0])]; tensor sep_module_56_tcn_0_weight_to_fp16 = const()[name = string("sep_module_56_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2105664)))]; tensor input_565_cast_fp16 = conv(dilations = var_3390, groups = var_64, pad = input_565_pad_0, pad_type = input_565_pad_type_0, strides = var_3388, weight = sep_module_56_tcn_0_weight_to_fp16, x = input_563_cast_fp16)[name = string("input_565_cast_fp16")]; fp32 var_3394_alpha_1 = const()[name = string("op_3394_alpha_1"), val = fp32(0x1.b0aedap-2)]; tensor var_3394_cast_fp16 = leaky_relu(alpha = var_3394_alpha_1, x = input_565_cast_fp16)[name = string("op_3394_cast_fp16")]; tensor var_3398 = const()[name = string("op_3398"), val = tensor([1])]; tensor mean_y_227_cast_fp16 = reduce_mean(axes = var_3398, keep_dims = var_68, x = var_3394_cast_fp16)[name = string("mean_y_227_cast_fp16")]; tensor var_3400_cast_fp16 = sub(x = var_3394_cast_fp16, y = mean_y_227_cast_fp16)[name = string("op_3400_cast_fp16")]; tensor var_3401_cast_fp16 = square(x = var_3400_cast_fp16); tensor var_3402 = const()[name = string("op_3402"), val = tensor([1])]; tensor var_3403_cast_fp16 = reduce_mean(axes = var_3402, keep_dims = var_68, x = var_3401_cast_fp16)[name = string("op_3403_cast_fp16")]; fp16 var_3404_to_fp16 = const()[name = string("op_3404_to_fp16"), val = fp16(0x1p-14)]; tensor var_3405_cast_fp16 = add(x = var_3403_cast_fp16, y = var_3404_to_fp16)[name = string("op_3405_cast_fp16")]; tensor std_y_227_cast_fp16 = sqrt(x = var_3405_cast_fp16)[name = string("std_y_227_cast_fp16")]; tensor sep_module_56_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_56_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2138496)))]; tensor var_3408_cast_fp16 = mul(x = sep_module_56_tcn_2_norm_gamma_to_fp16, y = var_3400_cast_fp16)[name = string("op_3408_cast_fp16")]; tensor var_3409_cast_fp16 = real_div(x = var_3408_cast_fp16, y = std_y_227_cast_fp16)[name = string("op_3409_cast_fp16")]; tensor sep_module_56_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_56_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2138816)))]; tensor input_567_cast_fp16 = add(x = var_3409_cast_fp16, y = sep_module_56_tcn_2_norm_beta_to_fp16)[name = string("input_567_cast_fp16")]; tensor input_569_pad_0 = const()[name = string("input_569_pad_0"), val = tensor([0, 0, 0, 0, 8, 0])]; string input_569_mode_0 = const()[name = string("input_569_mode_0"), val = string("constant")]; fp16 const_56_to_fp16 = const()[name = string("const_56_to_fp16"), val = fp16(0x0p+0)]; tensor input_569_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_567_cast_fp16_in_state, input_567_cast_fp16)); tensor input_567_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -8]), size = tensor([1, 128, 8]), x = input_569_cast_fp16); tensor var_3414 = const()[name = string("op_3414"), val = tensor([1])]; tensor var_3416 = const()[name = string("op_3416"), val = tensor([4])]; string input_571_pad_type_0 = const()[name = string("input_571_pad_type_0"), val = string("custom")]; tensor input_571_pad_0 = const()[name = string("input_571_pad_0"), val = tensor([0, 0])]; tensor sep_module_56_tcn_4_weight_to_fp16 = const()[name = string("sep_module_56_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2139136)))]; tensor input_571_cast_fp16 = conv(dilations = var_3416, groups = var_65, pad = input_571_pad_0, pad_type = input_571_pad_type_0, strides = var_3414, weight = sep_module_56_tcn_4_weight_to_fp16, x = input_569_cast_fp16)[name = string("input_571_cast_fp16")]; fp32 var_3420_alpha_1 = const()[name = string("op_3420_alpha_1"), val = fp32(0x1.3496fcp-1)]; tensor var_3420_cast_fp16 = leaky_relu(alpha = var_3420_alpha_1, x = input_571_cast_fp16)[name = string("op_3420_cast_fp16")]; tensor var_3424 = const()[name = string("op_3424"), val = tensor([1])]; tensor mean_y_229_cast_fp16 = reduce_mean(axes = var_3424, keep_dims = var_68, x = var_3420_cast_fp16)[name = string("mean_y_229_cast_fp16")]; tensor var_3426_cast_fp16 = sub(x = var_3420_cast_fp16, y = mean_y_229_cast_fp16)[name = string("op_3426_cast_fp16")]; tensor var_3427_cast_fp16 = square(x = var_3426_cast_fp16); tensor var_3428 = const()[name = string("op_3428"), val = tensor([1])]; tensor var_3429_cast_fp16 = reduce_mean(axes = var_3428, keep_dims = var_68, x = var_3427_cast_fp16)[name = string("op_3429_cast_fp16")]; fp16 var_3430_to_fp16 = const()[name = string("op_3430_to_fp16"), val = fp16(0x1p-14)]; tensor var_3431_cast_fp16 = add(x = var_3429_cast_fp16, y = var_3430_to_fp16)[name = string("op_3431_cast_fp16")]; tensor std_y_229_cast_fp16 = sqrt(x = var_3431_cast_fp16)[name = string("std_y_229_cast_fp16")]; tensor sep_module_56_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_56_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2139968)))]; tensor var_3434_cast_fp16 = mul(x = sep_module_56_tcn_6_norm_gamma_to_fp16, y = var_3426_cast_fp16)[name = string("op_3434_cast_fp16")]; tensor var_3435_cast_fp16 = real_div(x = var_3434_cast_fp16, y = std_y_229_cast_fp16)[name = string("op_3435_cast_fp16")]; tensor sep_module_56_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_56_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2140288)))]; tensor y_114_cast_fp16 = add(x = var_3435_cast_fp16, y = sep_module_56_tcn_6_norm_beta_to_fp16)[name = string("y_114_cast_fp16")]; tensor input_573_cast_fp16 = add(x = input_563_cast_fp16, y = y_114_cast_fp16)[name = string("input_573_cast_fp16")]; tensor var_3446 = const()[name = string("op_3446"), val = tensor([1])]; tensor var_3448 = const()[name = string("op_3448"), val = tensor([1])]; string input_575_pad_type_0 = const()[name = string("input_575_pad_type_0"), val = string("custom")]; tensor input_575_pad_0 = const()[name = string("input_575_pad_0"), val = tensor([0, 0])]; tensor sep_module_57_tcn_0_weight_to_fp16 = const()[name = string("sep_module_57_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2140608)))]; tensor input_575_cast_fp16 = conv(dilations = var_3448, groups = var_64, pad = input_575_pad_0, pad_type = input_575_pad_type_0, strides = var_3446, weight = sep_module_57_tcn_0_weight_to_fp16, x = input_573_cast_fp16)[name = string("input_575_cast_fp16")]; fp32 var_3452_alpha_1 = const()[name = string("op_3452_alpha_1"), val = fp32(0x1.f5285ap-1)]; tensor var_3452_cast_fp16 = leaky_relu(alpha = var_3452_alpha_1, x = input_575_cast_fp16)[name = string("op_3452_cast_fp16")]; tensor var_3456 = const()[name = string("op_3456"), val = tensor([1])]; tensor mean_y_231_cast_fp16 = reduce_mean(axes = var_3456, keep_dims = var_68, x = var_3452_cast_fp16)[name = string("mean_y_231_cast_fp16")]; tensor var_3458_cast_fp16 = sub(x = var_3452_cast_fp16, y = mean_y_231_cast_fp16)[name = string("op_3458_cast_fp16")]; tensor var_3459_cast_fp16 = square(x = var_3458_cast_fp16); tensor var_3460 = const()[name = string("op_3460"), val = tensor([1])]; tensor var_3461_cast_fp16 = reduce_mean(axes = var_3460, keep_dims = var_68, x = var_3459_cast_fp16)[name = string("op_3461_cast_fp16")]; fp16 var_3462_to_fp16 = const()[name = string("op_3462_to_fp16"), val = fp16(0x1p-14)]; tensor var_3463_cast_fp16 = add(x = var_3461_cast_fp16, y = var_3462_to_fp16)[name = string("op_3463_cast_fp16")]; tensor std_y_231_cast_fp16 = sqrt(x = var_3463_cast_fp16)[name = string("std_y_231_cast_fp16")]; tensor sep_module_57_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_57_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2173440)))]; tensor var_3466_cast_fp16 = mul(x = sep_module_57_tcn_2_norm_gamma_to_fp16, y = var_3458_cast_fp16)[name = string("op_3466_cast_fp16")]; tensor var_3467_cast_fp16 = real_div(x = var_3466_cast_fp16, y = std_y_231_cast_fp16)[name = string("op_3467_cast_fp16")]; tensor sep_module_57_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_57_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2173760)))]; tensor input_577_cast_fp16 = add(x = var_3467_cast_fp16, y = sep_module_57_tcn_2_norm_beta_to_fp16)[name = string("input_577_cast_fp16")]; tensor input_579_pad_0 = const()[name = string("input_579_pad_0"), val = tensor([0, 0, 0, 0, 16, 0])]; string input_579_mode_0 = const()[name = string("input_579_mode_0"), val = string("constant")]; fp16 const_57_to_fp16 = const()[name = string("const_57_to_fp16"), val = fp16(0x0p+0)]; tensor input_579_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_577_cast_fp16_in_state, input_577_cast_fp16)); tensor input_577_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -16]), size = tensor([1, 128, 16]), x = input_579_cast_fp16); tensor var_3472 = const()[name = string("op_3472"), val = tensor([1])]; tensor var_3474 = const()[name = string("op_3474"), val = tensor([8])]; string input_581_pad_type_0 = const()[name = string("input_581_pad_type_0"), val = string("custom")]; tensor input_581_pad_0 = const()[name = string("input_581_pad_0"), val = tensor([0, 0])]; tensor sep_module_57_tcn_4_weight_to_fp16 = const()[name = string("sep_module_57_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2174080)))]; tensor input_581_cast_fp16 = conv(dilations = var_3474, groups = var_65, pad = input_581_pad_0, pad_type = input_581_pad_type_0, strides = var_3472, weight = sep_module_57_tcn_4_weight_to_fp16, x = input_579_cast_fp16)[name = string("input_581_cast_fp16")]; fp32 var_3478_alpha_1 = const()[name = string("op_3478_alpha_1"), val = fp32(0x1.f5ca9ap-1)]; tensor var_3478_cast_fp16 = leaky_relu(alpha = var_3478_alpha_1, x = input_581_cast_fp16)[name = string("op_3478_cast_fp16")]; tensor var_3482 = const()[name = string("op_3482"), val = tensor([1])]; tensor mean_y_233_cast_fp16 = reduce_mean(axes = var_3482, keep_dims = var_68, x = var_3478_cast_fp16)[name = string("mean_y_233_cast_fp16")]; tensor var_3484_cast_fp16 = sub(x = var_3478_cast_fp16, y = mean_y_233_cast_fp16)[name = string("op_3484_cast_fp16")]; tensor var_3485_cast_fp16 = square(x = var_3484_cast_fp16); tensor var_3486 = const()[name = string("op_3486"), val = tensor([1])]; tensor var_3487_cast_fp16 = reduce_mean(axes = var_3486, keep_dims = var_68, x = var_3485_cast_fp16)[name = string("op_3487_cast_fp16")]; fp16 var_3488_to_fp16 = const()[name = string("op_3488_to_fp16"), val = fp16(0x1p-14)]; tensor var_3489_cast_fp16 = add(x = var_3487_cast_fp16, y = var_3488_to_fp16)[name = string("op_3489_cast_fp16")]; tensor std_y_233_cast_fp16 = sqrt(x = var_3489_cast_fp16)[name = string("std_y_233_cast_fp16")]; tensor sep_module_57_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_57_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2174912)))]; tensor var_3492_cast_fp16 = mul(x = sep_module_57_tcn_6_norm_gamma_to_fp16, y = var_3484_cast_fp16)[name = string("op_3492_cast_fp16")]; tensor var_3493_cast_fp16 = real_div(x = var_3492_cast_fp16, y = std_y_233_cast_fp16)[name = string("op_3493_cast_fp16")]; tensor sep_module_57_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_57_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2175232)))]; tensor y_116_cast_fp16 = add(x = var_3493_cast_fp16, y = sep_module_57_tcn_6_norm_beta_to_fp16)[name = string("y_116_cast_fp16")]; tensor input_583_cast_fp16 = add(x = input_573_cast_fp16, y = y_116_cast_fp16)[name = string("input_583_cast_fp16")]; tensor var_3504 = const()[name = string("op_3504"), val = tensor([1])]; tensor var_3506 = const()[name = string("op_3506"), val = tensor([1])]; string input_585_pad_type_0 = const()[name = string("input_585_pad_type_0"), val = string("custom")]; tensor input_585_pad_0 = const()[name = string("input_585_pad_0"), val = tensor([0, 0])]; tensor sep_module_58_tcn_0_weight_to_fp16 = const()[name = string("sep_module_58_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2175552)))]; tensor input_585_cast_fp16 = conv(dilations = var_3506, groups = var_64, pad = input_585_pad_0, pad_type = input_585_pad_type_0, strides = var_3504, weight = sep_module_58_tcn_0_weight_to_fp16, x = input_583_cast_fp16)[name = string("input_585_cast_fp16")]; fp32 var_3510_alpha_1 = const()[name = string("op_3510_alpha_1"), val = fp32(0x1.3879ep-2)]; tensor var_3510_cast_fp16 = leaky_relu(alpha = var_3510_alpha_1, x = input_585_cast_fp16)[name = string("op_3510_cast_fp16")]; tensor var_3514 = const()[name = string("op_3514"), val = tensor([1])]; tensor mean_y_235_cast_fp16 = reduce_mean(axes = var_3514, keep_dims = var_68, x = var_3510_cast_fp16)[name = string("mean_y_235_cast_fp16")]; tensor var_3516_cast_fp16 = sub(x = var_3510_cast_fp16, y = mean_y_235_cast_fp16)[name = string("op_3516_cast_fp16")]; tensor var_3517_cast_fp16 = square(x = var_3516_cast_fp16); tensor var_3518 = const()[name = string("op_3518"), val = tensor([1])]; tensor var_3519_cast_fp16 = reduce_mean(axes = var_3518, keep_dims = var_68, x = var_3517_cast_fp16)[name = string("op_3519_cast_fp16")]; fp16 var_3520_to_fp16 = const()[name = string("op_3520_to_fp16"), val = fp16(0x1p-14)]; tensor var_3521_cast_fp16 = add(x = var_3519_cast_fp16, y = var_3520_to_fp16)[name = string("op_3521_cast_fp16")]; tensor std_y_235_cast_fp16 = sqrt(x = var_3521_cast_fp16)[name = string("std_y_235_cast_fp16")]; tensor sep_module_58_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_58_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2208384)))]; tensor var_3524_cast_fp16 = mul(x = sep_module_58_tcn_2_norm_gamma_to_fp16, y = var_3516_cast_fp16)[name = string("op_3524_cast_fp16")]; tensor var_3525_cast_fp16 = real_div(x = var_3524_cast_fp16, y = std_y_235_cast_fp16)[name = string("op_3525_cast_fp16")]; tensor sep_module_58_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_58_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2208704)))]; tensor input_587_cast_fp16 = add(x = var_3525_cast_fp16, y = sep_module_58_tcn_2_norm_beta_to_fp16)[name = string("input_587_cast_fp16")]; tensor input_589_pad_0 = const()[name = string("input_589_pad_0"), val = tensor([0, 0, 0, 0, 32, 0])]; string input_589_mode_0 = const()[name = string("input_589_mode_0"), val = string("constant")]; fp16 const_58_to_fp16 = const()[name = string("const_58_to_fp16"), val = fp16(0x0p+0)]; tensor input_589_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_587_cast_fp16_in_state, input_587_cast_fp16)); tensor input_587_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -32]), size = tensor([1, 128, 32]), x = input_589_cast_fp16); tensor var_3530 = const()[name = string("op_3530"), val = tensor([1])]; tensor var_3532 = const()[name = string("op_3532"), val = tensor([16])]; string input_591_pad_type_0 = const()[name = string("input_591_pad_type_0"), val = string("custom")]; tensor input_591_pad_0 = const()[name = string("input_591_pad_0"), val = tensor([0, 0])]; tensor sep_module_58_tcn_4_weight_to_fp16 = const()[name = string("sep_module_58_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2209024)))]; tensor input_591_cast_fp16 = conv(dilations = var_3532, groups = var_65, pad = input_591_pad_0, pad_type = input_591_pad_type_0, strides = var_3530, weight = sep_module_58_tcn_4_weight_to_fp16, x = input_589_cast_fp16)[name = string("input_591_cast_fp16")]; fp32 var_3536_alpha_1 = const()[name = string("op_3536_alpha_1"), val = fp32(0x1.756cdep-1)]; tensor var_3536_cast_fp16 = leaky_relu(alpha = var_3536_alpha_1, x = input_591_cast_fp16)[name = string("op_3536_cast_fp16")]; tensor var_3540 = const()[name = string("op_3540"), val = tensor([1])]; tensor mean_y_237_cast_fp16 = reduce_mean(axes = var_3540, keep_dims = var_68, x = var_3536_cast_fp16)[name = string("mean_y_237_cast_fp16")]; tensor var_3542_cast_fp16 = sub(x = var_3536_cast_fp16, y = mean_y_237_cast_fp16)[name = string("op_3542_cast_fp16")]; tensor var_3543_cast_fp16 = square(x = var_3542_cast_fp16); tensor var_3544 = const()[name = string("op_3544"), val = tensor([1])]; tensor var_3545_cast_fp16 = reduce_mean(axes = var_3544, keep_dims = var_68, x = var_3543_cast_fp16)[name = string("op_3545_cast_fp16")]; fp16 var_3546_to_fp16 = const()[name = string("op_3546_to_fp16"), val = fp16(0x1p-14)]; tensor var_3547_cast_fp16 = add(x = var_3545_cast_fp16, y = var_3546_to_fp16)[name = string("op_3547_cast_fp16")]; tensor std_y_237_cast_fp16 = sqrt(x = var_3547_cast_fp16)[name = string("std_y_237_cast_fp16")]; tensor sep_module_58_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_58_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2209856)))]; tensor var_3550_cast_fp16 = mul(x = sep_module_58_tcn_6_norm_gamma_to_fp16, y = var_3542_cast_fp16)[name = string("op_3550_cast_fp16")]; tensor var_3551_cast_fp16 = real_div(x = var_3550_cast_fp16, y = std_y_237_cast_fp16)[name = string("op_3551_cast_fp16")]; tensor sep_module_58_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_58_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2210176)))]; tensor y_118_cast_fp16 = add(x = var_3551_cast_fp16, y = sep_module_58_tcn_6_norm_beta_to_fp16)[name = string("y_118_cast_fp16")]; tensor input_3_cast_fp16 = add(x = input_583_cast_fp16, y = y_118_cast_fp16)[name = string("input_3_cast_fp16")]; tensor var_3562 = const()[name = string("op_3562"), val = tensor([1])]; tensor var_3564 = const()[name = string("op_3564"), val = tensor([1])]; string input_2_pad_type_0 = const()[name = string("input_2_pad_type_0"), val = string("custom")]; tensor input_2_pad_0 = const()[name = string("input_2_pad_0"), val = tensor([0, 0])]; tensor sep_module_59_tcn_0_weight_to_fp16 = const()[name = string("sep_module_59_tcn_0_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2210496)))]; tensor input_2_cast_fp16 = conv(dilations = var_3564, groups = var_64, pad = input_2_pad_0, pad_type = input_2_pad_type_0, strides = var_3562, weight = sep_module_59_tcn_0_weight_to_fp16, x = input_3_cast_fp16)[name = string("input_2_cast_fp16")]; fp32 var_3568_alpha_1 = const()[name = string("op_3568_alpha_1"), val = fp32(0x1.ff2114p-1)]; tensor var_3568_cast_fp16 = leaky_relu(alpha = var_3568_alpha_1, x = input_2_cast_fp16)[name = string("op_3568_cast_fp16")]; tensor var_3572 = const()[name = string("op_3572"), val = tensor([1])]; tensor mean_y_2_cast_fp16 = reduce_mean(axes = var_3572, keep_dims = var_68, x = var_3568_cast_fp16)[name = string("mean_y_2_cast_fp16")]; tensor var_3574_cast_fp16 = sub(x = var_3568_cast_fp16, y = mean_y_2_cast_fp16)[name = string("op_3574_cast_fp16")]; tensor var_3575_cast_fp16 = square(x = var_3574_cast_fp16); tensor var_3576 = const()[name = string("op_3576"), val = tensor([1])]; tensor var_3577_cast_fp16 = reduce_mean(axes = var_3576, keep_dims = var_68, x = var_3575_cast_fp16)[name = string("op_3577_cast_fp16")]; fp16 var_3578_to_fp16 = const()[name = string("op_3578_to_fp16"), val = fp16(0x1p-14)]; tensor var_3579_cast_fp16 = add(x = var_3577_cast_fp16, y = var_3578_to_fp16)[name = string("op_3579_cast_fp16")]; tensor std_y_2_cast_fp16 = sqrt(x = var_3579_cast_fp16)[name = string("std_y_2_cast_fp16")]; tensor sep_module_59_tcn_2_norm_gamma_to_fp16 = const()[name = string("sep_module_59_tcn_2_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2243328)))]; tensor var_3582_cast_fp16 = mul(x = sep_module_59_tcn_2_norm_gamma_to_fp16, y = var_3574_cast_fp16)[name = string("op_3582_cast_fp16")]; tensor var_3583_cast_fp16 = real_div(x = var_3582_cast_fp16, y = std_y_2_cast_fp16)[name = string("op_3583_cast_fp16")]; tensor sep_module_59_tcn_2_norm_beta_to_fp16 = const()[name = string("sep_module_59_tcn_2_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2243648)))]; tensor input_4_cast_fp16 = add(x = var_3583_cast_fp16, y = sep_module_59_tcn_2_norm_beta_to_fp16)[name = string("input_4_cast_fp16")]; tensor input_6_pad_0 = const()[name = string("input_6_pad_0"), val = tensor([0, 0, 0, 0, 64, 0])]; string input_6_mode_0 = const()[name = string("input_6_mode_0"), val = string("constant")]; fp16 const_59_to_fp16 = const()[name = string("const_59_to_fp16"), val = fp16(0x0p+0)]; tensor input_6_cast_fp16 = concat(axis = int32(-1), interleave = bool(false), values = (input_4_cast_fp16_in_state, input_4_cast_fp16)); tensor input_4_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -64]), size = tensor([1, 128, 64]), x = input_6_cast_fp16); tensor var_3588 = const()[name = string("op_3588"), val = tensor([1])]; tensor var_3590 = const()[name = string("op_3590"), val = tensor([32])]; string input_1_pad_type_0 = const()[name = string("input_1_pad_type_0"), val = string("custom")]; tensor input_1_pad_0 = const()[name = string("input_1_pad_0"), val = tensor([0, 0])]; tensor sep_module_59_tcn_4_weight_to_fp16 = const()[name = string("sep_module_59_tcn_4_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2243968)))]; tensor input_1_cast_fp16 = conv(dilations = var_3590, groups = var_65, pad = input_1_pad_0, pad_type = input_1_pad_type_0, strides = var_3588, weight = sep_module_59_tcn_4_weight_to_fp16, x = input_6_cast_fp16)[name = string("input_1_cast_fp16")]; fp32 var_3594_alpha_1 = const()[name = string("op_3594_alpha_1"), val = fp32(0x1.ffe08ap-1)]; tensor var_3594_cast_fp16 = leaky_relu(alpha = var_3594_alpha_1, x = input_1_cast_fp16)[name = string("op_3594_cast_fp16")]; tensor var_3598 = const()[name = string("op_3598"), val = tensor([1])]; tensor mean_y_1_cast_fp16 = reduce_mean(axes = var_3598, keep_dims = var_68, x = var_3594_cast_fp16)[name = string("mean_y_1_cast_fp16")]; tensor var_3600_cast_fp16 = sub(x = var_3594_cast_fp16, y = mean_y_1_cast_fp16)[name = string("op_3600_cast_fp16")]; tensor var_3601_cast_fp16 = square(x = var_3600_cast_fp16); tensor var_3602 = const()[name = string("op_3602"), val = tensor([1])]; tensor var_3603_cast_fp16 = reduce_mean(axes = var_3602, keep_dims = var_68, x = var_3601_cast_fp16)[name = string("op_3603_cast_fp16")]; fp16 var_3604_to_fp16 = const()[name = string("op_3604_to_fp16"), val = fp16(0x1p-14)]; tensor var_3605_cast_fp16 = add(x = var_3603_cast_fp16, y = var_3604_to_fp16)[name = string("op_3605_cast_fp16")]; tensor std_y_1_cast_fp16 = sqrt(x = var_3605_cast_fp16)[name = string("std_y_1_cast_fp16")]; tensor sep_module_59_tcn_6_norm_gamma_to_fp16 = const()[name = string("sep_module_59_tcn_6_norm_gamma_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2244800)))]; tensor var_3608_cast_fp16 = mul(x = sep_module_59_tcn_6_norm_gamma_to_fp16, y = var_3600_cast_fp16)[name = string("op_3608_cast_fp16")]; tensor var_3609_cast_fp16 = real_div(x = var_3608_cast_fp16, y = std_y_1_cast_fp16)[name = string("op_3609_cast_fp16")]; tensor sep_module_59_tcn_6_norm_beta_to_fp16 = const()[name = string("sep_module_59_tcn_6_norm_beta_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2245120)))]; tensor y_1_cast_fp16 = add(x = var_3609_cast_fp16, y = sep_module_59_tcn_6_norm_beta_to_fp16)[name = string("y_1_cast_fp16")]; tensor x_1_cast_fp16 = add(x = input_3_cast_fp16, y = y_1_cast_fp16)[name = string("x_1_cast_fp16")]; tensor input0_3_axes_0 = const()[name = string("input0_3_axes_0"), val = tensor([1])]; tensor input0_3_cast_fp16 = expand_dims(axes = input0_3_axes_0, x = x_1_cast_fp16)[name = string("input0_3_cast_fp16")]; int32 var_3615 = const()[name = string("op_3615"), val = int32(1)]; tensor var_3620 = const()[name = string("op_3620"), val = tensor([1, 1])]; tensor var_3622 = const()[name = string("op_3622"), val = tensor([1, 1])]; string input1_1_pad_type_0 = const()[name = string("input1_1_pad_type_0"), val = string("custom")]; tensor input1_1_pad_0 = const()[name = string("input1_1_pad_0"), val = tensor([192, 192, 0, 0])]; tensor mask_layer_weight_to_fp16 = const()[name = string("mask_layer_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2245440)))]; tensor input1_1_cast_fp16 = conv(dilations = var_3622, groups = var_3615, pad = input1_1_pad_0, pad_type = input1_1_pad_type_0, strides = var_3620, weight = mask_layer_weight_to_fp16, x = input0_3_cast_fp16)[name = string("input1_1_cast_fp16")]; tensor var_3625_cast_fp16 = sigmoid(x = input1_1_cast_fp16)[name = string("op_3625_cast_fp16")]; tensor var_3626_axes_0 = const()[name = string("op_3626_axes_0"), val = tensor([1])]; tensor var_3626_cast_fp16 = expand_dims(axes = var_3626_axes_0, x = var_26_cast_fp16)[name = string("op_3626_cast_fp16")]; tensor var_3626_cast_fp16_concat_expanded = concat(axis = int32(-1), interleave = bool(false), values = (var_3626_cast_fp16_concat_in_state, var_3626_cast_fp16)); tensor var_3626_cast_fp16_delayed = slice_by_size(begin = tensor([0, 0, 0, 0]), size = tensor([1, 1, 256, 12]), x = var_3626_cast_fp16_concat_expanded); tensor var_3626_cast_fp16_concat_out_state = slice_by_size(begin = tensor([0, 0, 0, -7]), size = tensor([1, 1, 256, 7]), x = var_3626_cast_fp16_concat_expanded); tensor x_11_cast_fp16 = mul(x = var_3625_cast_fp16, y = var_3626_cast_fp16_delayed)[name = string("x_11_cast_fp16")]; tensor concat_0x = const()[name = string("concat_0x"), val = tensor([1, 512, -1])]; tensor input1_3_cast_fp16 = reshape(shape = concat_0x, x = x_11_cast_fp16)[name = string("input1_3_cast_fp16")]; int32 var_3642 = const()[name = string("op_3642"), val = int32(2)]; tensor var_3650 = const()[name = string("op_3650"), val = tensor([40])]; tensor var_3652 = const()[name = string("op_3652"), val = tensor([1])]; string var_3654_pad_type_0 = const()[name = string("op_3654_pad_type_0"), val = string("custom")]; tensor var_3654_pad_0 = const()[name = string("op_3654_pad_0"), val = tensor([40, 40])]; tensor resynthesizer_weight_to_fp16 = const()[name = string("resynthesizer_weight_to_fp16"), val = tensor(BLOBFILE(path = string("@model_path/weights/sc-vires-nnet-apod.weight.bin"), offset = uint64(2246592)))]; tensor input1_3_cast_fp16_padded = concat(axis = int32(-1), interleave = bool(false), values = (input1_3_cast_fp16_in_state, input1_3_cast_fp16)); tensor input1_3_cast_fp16_out_state = slice_by_size(begin = tensor([0, 0, -1]), size = tensor([1, 512, 1]), x = input1_3_cast_fp16_padded); tensor var_3654_cast_fp16 = conv_transpose(dilations = var_3652, groups = var_3642, pad = var_3654_pad_0, pad_type = var_3654_pad_type_0, strides = var_3650, weight = resynthesizer_weight_to_fp16, x = input1_3_cast_fp16_padded); string var_3654_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_3654_cast_fp16_to_fp32_dtype_0"), val = string("fp32")]; tensor var_3654 = cast(dtype = var_3654_cast_fp16_to_fp32_dtype_0, x = var_3654_cast_fp16)[name = string("cast_243")]; } -> (var_3654, cast_244_out_state, input_7_cast_fp16_out_state, input_597_cast_fp16_concat_out_state, input_17_cast_fp16_out_state, input_13_cast_fp16_concat_out_state, input_27_cast_fp16_out_state, input_23_cast_fp16_concat_out_state, input_37_cast_fp16_out_state, input_47_cast_fp16_out_state, input_57_cast_fp16_out_state, input_67_cast_fp16_out_state, input_77_cast_fp16_out_state, input_87_cast_fp16_out_state, input_97_cast_fp16_out_state, input_107_cast_fp16_out_state, input_117_cast_fp16_out_state, input_127_cast_fp16_out_state, input_137_cast_fp16_out_state, input_147_cast_fp16_out_state, input_157_cast_fp16_out_state, input_167_cast_fp16_out_state, input_177_cast_fp16_out_state, input_187_cast_fp16_out_state, input_197_cast_fp16_out_state, input_207_cast_fp16_out_state, input_217_cast_fp16_out_state, input_227_cast_fp16_out_state, input_237_cast_fp16_out_state, input_247_cast_fp16_out_state, input_257_cast_fp16_out_state, input_267_cast_fp16_out_state, input_277_cast_fp16_out_state, input_287_cast_fp16_out_state, input_297_cast_fp16_out_state, input_307_cast_fp16_out_state, input_317_cast_fp16_out_state, input_327_cast_fp16_out_state, input_337_cast_fp16_out_state, input_347_cast_fp16_out_state, input_357_cast_fp16_out_state, input_367_cast_fp16_out_state, input_377_cast_fp16_out_state, input_387_cast_fp16_out_state, input_397_cast_fp16_out_state, input_407_cast_fp16_out_state, input_417_cast_fp16_out_state, input_427_cast_fp16_out_state, input_437_cast_fp16_out_state, input_447_cast_fp16_out_state, input_457_cast_fp16_out_state, input_467_cast_fp16_out_state, input_477_cast_fp16_out_state, input_487_cast_fp16_out_state, input_497_cast_fp16_out_state, input_507_cast_fp16_out_state, input_517_cast_fp16_out_state, input_527_cast_fp16_out_state, input_537_cast_fp16_out_state, input_547_cast_fp16_out_state, input_557_cast_fp16_out_state, input_567_cast_fp16_out_state, input_577_cast_fp16_out_state, input_587_cast_fp16_out_state, input_4_cast_fp16_out_state, var_3626_cast_fp16_concat_out_state, input1_3_cast_fp16_out_state); }