program(1.3) [buildInfo = dict({{"coremlc-component-MIL", "9999.99.99"}, {"coremlc-version", "3400.58.3.14.1"}, {"coremltools-component-torch", "2.1.0"}, {"coremltools-version", "8.1"}}),mldb_token = string("mldb-noyd2oeaxj")] // Exported model from a3p73mmcsz { func main(pixel_buffer image) [FlexibleShapeInformation = tuple>>, tuple>>>>((("DefaultShapes", {{"image", [640, 640]}}), ("EnumeratedShapes", {{"default", {{"image", [640,640]}}},{"lf-320x180", {{"image", [180, 320]}}}, {"lf-320x240", {{"image", [240, 320]}}}, {"lf-320x320", {{"image", [320, 320]}}}, {"lf-360x270", {{"image", [270, 360]}}}, {"lf-480x270", {{"image", [270, 480]}}}, {"lf-480x360", {{"image", [360, 480]}}}, {"lf-480x480", {{"image", [480, 480]}}}, {"lf-480x640", {{"image", [640, 480]}}}, {"lf-640x360", {{"image", [360, 640]}}}, {"lf-640x480", {{"image", [480, 640]}}}, {"lf-640x640", {{"image", [640, 640]}}}, {"lf-big-test-512x380", {{"image", [380, 512]}}}, {"lf-test-32x32", {{"image", [32, 32]}}}, {"lf-test-64x32", {{"image", [32, 64]}}}})))] { tensor gf_image_uint8 = pixel_buffer_to_tensor(input = image); tensor gf_image_fp16 = cast(dtype = string("fp16"), x = gf_image_uint8); tensor gf_expand_axes = const()[name = string("expand_axes"), val = tensor([0])]; tensor gf_batch_img_input_tensor = expand_dims(axes = gf_expand_axes, x = gf_image_fp16); fp16 gf_image__scaled___y_0 = const()[name = string("gf_image__scaled___y_0"), val = fp16(0.00392150879)]; tensor gf_image__scaled__ = mul(x = gf_batch_img_input_tensor, y = gf_image__scaled___y_0)[name = string("gf_image__scaled__")]; fp32 input_83_scale_factor_height_0 = const()[name = string("input_83_scale_factor_height_0"), val = fp32(0.500000179)]; fp32 input_83_scale_factor_width_0 = const()[name = string("input_83_scale_factor_width_0"), val = fp32(0.500000179)]; bool input_83_align_corners_0 = const()[name = string("input_83_align_corners_0"), val = bool(false)]; tensor input_83_cast_fp16 = upsample_bilinear(align_corners = input_83_align_corners_0, scale_factor_height = input_83_scale_factor_height_0, scale_factor_width = input_83_scale_factor_width_0, x = gf_image__scaled__)[name = string("input_83_cast_fp16")]; string input_17_pad_type_0 = const()[name = string("input_17_pad_type_0"), val = string("custom")]; tensor input_17_pad_0 = const()[name = string("input_17_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_17_strides_0 = const()[name = string("input_17_strides_0"), val = tensor([2, 2])]; tensor input_17_dilations_0 = const()[name = string("input_17_dilations_0"), val = tensor([1, 1])]; int32 input_17_groups_0 = const()[name = string("input_17_groups_0"), val = int32(1)]; tensor const_3_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(320))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(448)))); tensor const_4_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(576))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(704))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(832)))); tensor input_19_cast_fp16 = conv(bias = const_4_to_fp16, dilations = input_17_dilations_0, groups = input_17_groups_0, pad = input_17_pad_0, pad_type = input_17_pad_type_0, strides = input_17_strides_0, weight = const_3_to_fp16, x = input_83_cast_fp16)[name = string("input_19_cast_fp16")]; fp16 var_58_alpha_0_to_fp16 = const()[name = string("op_58_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_58_beta_0_to_fp16 = const()[name = string("op_58_beta_0_to_fp16"), val = fp16(6)]; tensor var_58_cast_fp16 = clip(alpha = var_58_alpha_0_to_fp16, beta = var_58_beta_0_to_fp16, x = input_19_cast_fp16)[name = string("op_58_cast_fp16")]; 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([1, 1, 1, 1])]; int32 input_15_groups_0 = const()[name = string("input_15_groups_0"), val = int32(16)]; tensor input_15_strides_0 = const()[name = string("input_15_strides_0"), val = tensor([1, 1])]; tensor input_15_dilations_0 = const()[name = string("input_15_dilations_0"), val = tensor([1, 1])]; tensor const_5_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(960))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1216))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1344)))); tensor const_6_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1472))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1600))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1728)))); tensor input_11_cast_fp16 = conv(bias = const_6_to_fp16, dilations = input_15_dilations_0, groups = input_15_groups_0, pad = input_15_pad_0, pad_type = input_15_pad_type_0, strides = input_15_strides_0, weight = const_5_to_fp16, x = var_58_cast_fp16)[name = string("input_11_cast_fp16")]; fp16 var_76_alpha_0_to_fp16 = const()[name = string("op_76_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_76_beta_0_to_fp16 = const()[name = string("op_76_beta_0_to_fp16"), val = fp16(6)]; tensor var_76_cast_fp16 = clip(alpha = var_76_alpha_0_to_fp16, beta = var_76_beta_0_to_fp16, x = input_11_cast_fp16)[name = string("op_76_cast_fp16")]; string input_13_pad_type_0 = const()[name = string("input_13_pad_type_0"), val = string("valid")]; tensor input_13_strides_0 = const()[name = string("input_13_strides_0"), val = tensor([1, 1])]; tensor input_13_pad_0 = const()[name = string("input_13_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_13_dilations_0 = const()[name = string("input_13_dilations_0"), val = tensor([1, 1])]; int32 input_13_groups_0 = const()[name = string("input_13_groups_0"), val = int32(1)]; tensor const_7_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1856))), offset = tensor([[[[151]]], [[[74]]], [[[160]]], [[[153]]], [[[80]]], [[[158]]], [[[110]]], [[[128]]]]), scale = tensor([[[[0.00484466553]]], [[[0.00522994995]]], [[[0.00674057007]]], [[[0.00576019287]]], [[[0.00659561157]]], [[[0.00514221191]]], [[[0.00587463379]]], [[[0.00639724731]]]])); tensor const_8_to_fp16 = constexpr_blockwise_shift_scale(data = tensor([255, 0, 255, 255, 0, 255, 255, 255]), offset = tensor([0, 255, 0, 0, 255, 0, 0, 0]), scale = tensor([0.00244522095, 0.00591659546, 0.00280761719, 0.0053062439, 0.00344276428, 0.00116443634, 0.000516891479, 0.00364685059])); tensor input_21_cast_fp16 = conv(bias = const_8_to_fp16, dilations = input_13_dilations_0, groups = input_13_groups_0, pad = input_13_pad_0, pad_type = input_13_pad_type_0, strides = input_13_strides_0, weight = const_7_to_fp16, x = var_76_cast_fp16)[name = string("input_21_cast_fp16")]; string input_23_pad_type_0 = const()[name = string("input_23_pad_type_0"), val = string("valid")]; tensor input_23_strides_0 = const()[name = string("input_23_strides_0"), val = tensor([1, 1])]; tensor input_23_pad_0 = const()[name = string("input_23_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_23_dilations_0 = const()[name = string("input_23_dilations_0"), val = tensor([1, 1])]; int32 input_23_groups_0 = const()[name = string("input_23_groups_0"), val = int32(1)]; tensor const_9_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2048))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2496))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2624)))); tensor const_10_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2816))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2944))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3072)))); tensor input_25_cast_fp16 = conv(bias = const_10_to_fp16, dilations = input_23_dilations_0, groups = input_23_groups_0, pad = input_23_pad_0, pad_type = input_23_pad_type_0, strides = input_23_strides_0, weight = const_9_to_fp16, x = input_21_cast_fp16)[name = string("input_25_cast_fp16")]; fp16 var_106_alpha_0_to_fp16 = const()[name = string("op_106_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_106_beta_0_to_fp16 = const()[name = string("op_106_beta_0_to_fp16"), val = fp16(6)]; tensor var_106_cast_fp16 = clip(alpha = var_106_alpha_0_to_fp16, beta = var_106_beta_0_to_fp16, x = input_25_cast_fp16)[name = string("op_106_cast_fp16")]; string input_27_pad_type_0 = const()[name = string("input_27_pad_type_0"), val = string("custom")]; tensor input_27_pad_0 = const()[name = string("input_27_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_27_strides_0 = const()[name = string("input_27_strides_0"), val = tensor([2, 2])]; int32 input_27_groups_0 = const()[name = string("input_27_groups_0"), val = int32(48)]; tensor input_27_dilations_0 = const()[name = string("input_27_dilations_0"), val = tensor([1, 1])]; tensor const_11_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3264))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3776))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3904)))); tensor const_12_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(4096))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(4224))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(4352)))); tensor input_29_cast_fp16 = conv(bias = const_12_to_fp16, dilations = input_27_dilations_0, groups = input_27_groups_0, pad = input_27_pad_0, pad_type = input_27_pad_type_0, strides = input_27_strides_0, weight = const_11_to_fp16, x = var_106_cast_fp16)[name = string("input_29_cast_fp16")]; fp16 var_120_alpha_0_to_fp16 = const()[name = string("op_120_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_120_beta_0_to_fp16 = const()[name = string("op_120_beta_0_to_fp16"), val = fp16(6)]; tensor var_120_cast_fp16 = clip(alpha = var_120_alpha_0_to_fp16, beta = var_120_beta_0_to_fp16, x = input_29_cast_fp16)[name = string("op_120_cast_fp16")]; string input_41_pad_type_0 = const()[name = string("input_41_pad_type_0"), val = string("valid")]; tensor input_41_strides_0 = const()[name = string("input_41_strides_0"), val = tensor([1, 1])]; tensor input_41_pad_0 = const()[name = string("input_41_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_41_dilations_0 = const()[name = string("input_41_dilations_0"), val = tensor([1, 1])]; int32 input_41_groups_0 = const()[name = string("input_41_groups_0"), val = int32(1)]; tensor const_13_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(4544))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(5376))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(5504)))); tensor const_14_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(5632))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(5760))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(5888)))); tensor input_31_cast_fp16 = conv(bias = const_14_to_fp16, dilations = input_41_dilations_0, groups = input_41_groups_0, pad = input_41_pad_0, pad_type = input_41_pad_type_0, strides = input_41_strides_0, weight = const_13_to_fp16, x = var_120_cast_fp16)[name = string("input_31_cast_fp16")]; string input_33_pad_type_0 = const()[name = string("input_33_pad_type_0"), val = string("valid")]; tensor input_33_strides_0 = const()[name = string("input_33_strides_0"), val = tensor([1, 1])]; tensor input_33_pad_0 = const()[name = string("input_33_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_33_dilations_0 = const()[name = string("input_33_dilations_0"), val = tensor([1, 1])]; int32 input_33_groups_0 = const()[name = string("input_33_groups_0"), val = int32(1)]; tensor const_15_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6016))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(7616))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(7808)))); tensor const_16_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(8064))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(8256))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(8448)))); tensor input_35_cast_fp16 = conv(bias = const_16_to_fp16, dilations = input_33_dilations_0, groups = input_33_groups_0, pad = input_33_pad_0, pad_type = input_33_pad_type_0, strides = input_33_strides_0, weight = const_15_to_fp16, x = input_31_cast_fp16)[name = string("input_35_cast_fp16")]; fp16 var_150_alpha_0_to_fp16 = const()[name = string("op_150_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_150_beta_0_to_fp16 = const()[name = string("op_150_beta_0_to_fp16"), val = fp16(6)]; tensor var_150_cast_fp16 = clip(alpha = var_150_alpha_0_to_fp16, beta = var_150_beta_0_to_fp16, x = input_35_cast_fp16)[name = string("op_150_cast_fp16")]; string input_37_pad_type_0 = const()[name = string("input_37_pad_type_0"), val = string("custom")]; tensor input_37_pad_0 = const()[name = string("input_37_pad_0"), val = tensor([1, 1, 1, 1])]; int32 input_37_groups_0 = const()[name = string("input_37_groups_0"), val = int32(96)]; tensor input_37_strides_0 = const()[name = string("input_37_strides_0"), val = tensor([1, 1])]; tensor input_37_dilations_0 = const()[name = string("input_37_dilations_0"), val = tensor([1, 1])]; tensor const_17_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(8704))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(9664))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(9856)))); tensor const_18_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(10112))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(10304))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(10496)))); tensor input_39_cast_fp16 = conv(bias = const_18_to_fp16, dilations = input_37_dilations_0, groups = input_37_groups_0, pad = input_37_pad_0, pad_type = input_37_pad_type_0, strides = input_37_strides_0, weight = const_17_to_fp16, x = var_150_cast_fp16)[name = string("input_39_cast_fp16")]; fp16 var_164_alpha_0_to_fp16 = const()[name = string("op_164_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_164_beta_0_to_fp16 = const()[name = string("op_164_beta_0_to_fp16"), val = fp16(6)]; tensor var_164_cast_fp16 = clip(alpha = var_164_alpha_0_to_fp16, beta = var_164_beta_0_to_fp16, x = input_39_cast_fp16)[name = string("op_164_cast_fp16")]; string input_43_pad_type_0 = const()[name = string("input_43_pad_type_0"), val = string("valid")]; tensor input_43_strides_0 = const()[name = string("input_43_strides_0"), val = tensor([1, 1])]; tensor input_43_pad_0 = const()[name = string("input_43_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_43_dilations_0 = const()[name = string("input_43_dilations_0"), val = tensor([1, 1])]; int32 input_43_groups_0 = const()[name = string("input_43_groups_0"), val = int32(1)]; tensor const_19_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(10752))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12352))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12480)))); tensor const_20_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12608))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12736))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12864)))); tensor var_175_cast_fp16 = conv(bias = const_20_to_fp16, dilations = input_43_dilations_0, groups = input_43_groups_0, pad = input_43_pad_0, pad_type = input_43_pad_type_0, strides = input_43_strides_0, weight = const_19_to_fp16, x = var_164_cast_fp16)[name = string("op_175_cast_fp16")]; tensor input_55_cast_fp16 = add(x = input_31_cast_fp16, y = var_175_cast_fp16)[name = string("input_55_cast_fp16")]; string input_45_pad_type_0 = const()[name = string("input_45_pad_type_0"), val = string("valid")]; tensor input_45_strides_0 = const()[name = string("input_45_strides_0"), val = tensor([1, 1])]; tensor input_45_pad_0 = const()[name = string("input_45_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_45_dilations_0 = const()[name = string("input_45_dilations_0"), val = tensor([1, 1])]; int32 input_45_groups_0 = const()[name = string("input_45_groups_0"), val = int32(1)]; tensor const_21_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12992))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14592))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14784)))); tensor const_22_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15040))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15232))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15424)))); tensor input_47_cast_fp16 = conv(bias = const_22_to_fp16, dilations = input_45_dilations_0, groups = input_45_groups_0, pad = input_45_pad_0, pad_type = input_45_pad_type_0, strides = input_45_strides_0, weight = const_21_to_fp16, x = input_55_cast_fp16)[name = string("input_47_cast_fp16")]; fp16 var_195_alpha_0_to_fp16 = const()[name = string("op_195_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_195_beta_0_to_fp16 = const()[name = string("op_195_beta_0_to_fp16"), val = fp16(6)]; tensor var_195_cast_fp16 = clip(alpha = var_195_alpha_0_to_fp16, beta = var_195_beta_0_to_fp16, x = input_47_cast_fp16)[name = string("op_195_cast_fp16")]; string input_49_pad_type_0 = const()[name = string("input_49_pad_type_0"), val = string("custom")]; tensor input_49_pad_0 = const()[name = string("input_49_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_49_strides_0 = const()[name = string("input_49_strides_0"), val = tensor([2, 2])]; int32 input_49_groups_0 = const()[name = string("input_49_groups_0"), val = int32(96)]; tensor input_49_dilations_0 = const()[name = string("input_49_dilations_0"), val = tensor([1, 1])]; tensor const_23_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15680))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(16640))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(16832)))); tensor const_24_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17088))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17280))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17472)))); tensor input_51_cast_fp16 = conv(bias = const_24_to_fp16, dilations = input_49_dilations_0, groups = input_49_groups_0, pad = input_49_pad_0, pad_type = input_49_pad_type_0, strides = input_49_strides_0, weight = const_23_to_fp16, x = var_195_cast_fp16)[name = string("input_51_cast_fp16")]; fp16 var_209_alpha_0_to_fp16 = const()[name = string("op_209_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_209_beta_0_to_fp16 = const()[name = string("op_209_beta_0_to_fp16"), val = fp16(6)]; tensor var_209_cast_fp16 = clip(alpha = var_209_alpha_0_to_fp16, beta = var_209_beta_0_to_fp16, x = input_51_cast_fp16)[name = string("op_209_cast_fp16")]; string input_69_pad_type_0 = const()[name = string("input_69_pad_type_0"), val = string("valid")]; tensor input_69_strides_0 = const()[name = string("input_69_strides_0"), val = tensor([1, 1])]; tensor input_69_pad_0 = const()[name = string("input_69_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_69_dilations_0 = const()[name = string("input_69_dilations_0"), val = tensor([1, 1])]; int32 input_69_groups_0 = const()[name = string("input_69_groups_0"), val = int32(1)]; tensor const_25_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17728))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19328))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19456)))); tensor const_26_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19584))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19712))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19840)))); tensor input_53_cast_fp16 = conv(bias = const_26_to_fp16, dilations = input_69_dilations_0, groups = input_69_groups_0, pad = input_69_pad_0, pad_type = input_69_pad_type_0, strides = input_69_strides_0, weight = const_25_to_fp16, x = var_209_cast_fp16)[name = string("input_53_cast_fp16")]; string input_57_pad_type_0 = const()[name = string("input_57_pad_type_0"), val = string("valid")]; tensor input_57_strides_0 = const()[name = string("input_57_strides_0"), val = tensor([1, 1])]; tensor input_57_pad_0 = const()[name = string("input_57_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_57_dilations_0 = const()[name = string("input_57_dilations_0"), val = tensor([1, 1])]; int32 input_57_groups_0 = const()[name = string("input_57_groups_0"), val = int32(1)]; tensor const_27_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19968))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(21568))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(21760)))); tensor const_28_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22016))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22208))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22400)))); tensor input_59_cast_fp16 = conv(bias = const_28_to_fp16, dilations = input_57_dilations_0, groups = input_57_groups_0, pad = input_57_pad_0, pad_type = input_57_pad_type_0, strides = input_57_strides_0, weight = const_27_to_fp16, x = input_53_cast_fp16)[name = string("input_59_cast_fp16")]; fp16 var_239_alpha_0_to_fp16 = const()[name = string("op_239_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_239_beta_0_to_fp16 = const()[name = string("op_239_beta_0_to_fp16"), val = fp16(6)]; tensor var_239_cast_fp16 = clip(alpha = var_239_alpha_0_to_fp16, beta = var_239_beta_0_to_fp16, x = input_59_cast_fp16)[name = string("op_239_cast_fp16")]; 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([1, 1, 1, 1])]; int32 input_61_groups_0 = const()[name = string("input_61_groups_0"), val = int32(96)]; tensor input_61_strides_0 = const()[name = string("input_61_strides_0"), val = tensor([1, 1])]; tensor input_61_dilations_0 = const()[name = string("input_61_dilations_0"), val = tensor([1, 1])]; tensor const_29_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22656))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23616))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23808)))); tensor const_30_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24064))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24256))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24448)))); tensor input_63_cast_fp16 = conv(bias = const_30_to_fp16, dilations = input_61_dilations_0, groups = input_61_groups_0, pad = input_61_pad_0, pad_type = input_61_pad_type_0, strides = input_61_strides_0, weight = const_29_to_fp16, x = var_239_cast_fp16)[name = string("input_63_cast_fp16")]; fp16 var_253_alpha_0_to_fp16 = const()[name = string("op_253_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_253_beta_0_to_fp16 = const()[name = string("op_253_beta_0_to_fp16"), val = fp16(6)]; tensor var_253_cast_fp16 = clip(alpha = var_253_alpha_0_to_fp16, beta = var_253_beta_0_to_fp16, x = input_63_cast_fp16)[name = string("op_253_cast_fp16")]; string input_65_pad_type_0 = const()[name = string("input_65_pad_type_0"), val = string("valid")]; tensor input_65_strides_0 = const()[name = string("input_65_strides_0"), val = tensor([1, 1])]; tensor input_65_pad_0 = const()[name = string("input_65_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_65_dilations_0 = const()[name = string("input_65_dilations_0"), val = tensor([1, 1])]; int32 input_65_groups_0 = const()[name = string("input_65_groups_0"), val = int32(1)]; tensor const_31_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24704))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26304))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26432)))); tensor const_32_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26560))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26688))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26816)))); tensor var_264_cast_fp16 = conv(bias = const_32_to_fp16, dilations = input_65_dilations_0, groups = input_65_groups_0, pad = input_65_pad_0, pad_type = input_65_pad_type_0, strides = input_65_strides_0, weight = const_31_to_fp16, x = var_253_cast_fp16)[name = string("op_264_cast_fp16")]; tensor input_67_cast_fp16 = add(x = input_53_cast_fp16, y = var_264_cast_fp16)[name = string("input_67_cast_fp16")]; string input_73_pad_type_0 = const()[name = string("input_73_pad_type_0"), val = string("valid")]; tensor input_73_strides_0 = const()[name = string("input_73_strides_0"), val = tensor([1, 1])]; tensor input_73_pad_0 = const()[name = string("input_73_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_73_dilations_0 = const()[name = string("input_73_dilations_0"), val = tensor([1, 1])]; int32 input_73_groups_0 = const()[name = string("input_73_groups_0"), val = int32(1)]; tensor const_33_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26944))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28544))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28736)))); tensor const_34_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28992))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29184))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29376)))); tensor input_75_cast_fp16 = conv(bias = const_34_to_fp16, dilations = input_73_dilations_0, groups = input_73_groups_0, pad = input_73_pad_0, pad_type = input_73_pad_type_0, strides = input_73_strides_0, weight = const_33_to_fp16, x = input_67_cast_fp16)[name = string("input_75_cast_fp16")]; fp16 var_284_alpha_0_to_fp16 = const()[name = string("op_284_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_284_beta_0_to_fp16 = const()[name = string("op_284_beta_0_to_fp16"), val = fp16(6)]; tensor var_284_cast_fp16 = clip(alpha = var_284_alpha_0_to_fp16, beta = var_284_beta_0_to_fp16, x = input_75_cast_fp16)[name = string("op_284_cast_fp16")]; string input_77_pad_type_0 = const()[name = string("input_77_pad_type_0"), val = string("custom")]; tensor input_77_pad_0 = const()[name = string("input_77_pad_0"), val = tensor([1, 1, 1, 1])]; int32 input_77_groups_0 = const()[name = string("input_77_groups_0"), val = int32(96)]; tensor input_77_strides_0 = const()[name = string("input_77_strides_0"), val = tensor([1, 1])]; tensor input_77_dilations_0 = const()[name = string("input_77_dilations_0"), val = tensor([1, 1])]; tensor const_35_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29632))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30592))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30784)))); tensor const_36_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(31040))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(31232))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(31424)))); tensor input_79_cast_fp16 = conv(bias = const_36_to_fp16, dilations = input_77_dilations_0, groups = input_77_groups_0, pad = input_77_pad_0, pad_type = input_77_pad_type_0, strides = input_77_strides_0, weight = const_35_to_fp16, x = var_284_cast_fp16)[name = string("input_79_cast_fp16")]; fp16 var_298_alpha_0_to_fp16 = const()[name = string("op_298_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_298_beta_0_to_fp16 = const()[name = string("op_298_beta_0_to_fp16"), val = fp16(6)]; tensor var_298_cast_fp16 = clip(alpha = var_298_alpha_0_to_fp16, beta = var_298_beta_0_to_fp16, x = input_79_cast_fp16)[name = string("op_298_cast_fp16")]; string input_81_pad_type_0 = const()[name = string("input_81_pad_type_0"), val = string("valid")]; tensor input_81_strides_0 = const()[name = string("input_81_strides_0"), val = tensor([1, 1])]; tensor input_81_pad_0 = const()[name = string("input_81_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_81_dilations_0 = const()[name = string("input_81_dilations_0"), val = tensor([1, 1])]; int32 input_81_groups_0 = const()[name = string("input_81_groups_0"), val = int32(1)]; tensor const_37_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(31680))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33280))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33408)))); tensor const_38_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33536))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33664))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33792)))); tensor var_309_cast_fp16 = conv(bias = const_38_to_fp16, dilations = input_81_dilations_0, groups = input_81_groups_0, pad = input_81_pad_0, pad_type = input_81_pad_type_0, strides = input_81_strides_0, weight = const_37_to_fp16, x = var_298_cast_fp16)[name = string("op_309_cast_fp16")]; tensor input_71_cast_fp16 = add(x = input_67_cast_fp16, y = var_309_cast_fp16)[name = string("input_71_cast_fp16")]; string input_14_pad_type_0 = const()[name = string("input_14_pad_type_0"), val = string("valid")]; tensor input_14_strides_0 = const()[name = string("input_14_strides_0"), val = tensor([1, 1])]; tensor input_14_pad_0 = const()[name = string("input_14_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_14_dilations_0 = const()[name = string("input_14_dilations_0"), val = tensor([1, 1])]; int32 input_14_groups_0 = const()[name = string("input_14_groups_0"), val = int32(1)]; tensor const_39_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33920))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35520))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35712)))); tensor const_40_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35968))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36160))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36352)))); tensor input_6_cast_fp16 = conv(bias = const_40_to_fp16, dilations = input_14_dilations_0, groups = input_14_groups_0, pad = input_14_pad_0, pad_type = input_14_pad_type_0, strides = input_14_strides_0, weight = const_39_to_fp16, x = input_71_cast_fp16)[name = string("input_6_cast_fp16")]; fp16 var_351_alpha_0_to_fp16 = const()[name = string("op_351_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_351_beta_0_to_fp16 = const()[name = string("op_351_beta_0_to_fp16"), val = fp16(6)]; tensor var_351_cast_fp16 = clip(alpha = var_351_alpha_0_to_fp16, beta = var_351_beta_0_to_fp16, x = input_6_cast_fp16)[name = string("op_351_cast_fp16")]; string input_8_pad_type_0 = const()[name = string("input_8_pad_type_0"), val = string("custom")]; tensor input_8_pad_0 = const()[name = string("input_8_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_8_strides_0 = const()[name = string("input_8_strides_0"), val = tensor([2, 2])]; int32 input_8_groups_0 = const()[name = string("input_8_groups_0"), val = int32(96)]; tensor input_8_dilations_0 = const()[name = string("input_8_dilations_0"), val = tensor([1, 1])]; tensor const_41_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36608))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37568))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37760)))); tensor const_42_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38016))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38208))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38400)))); tensor input_10_cast_fp16 = conv(bias = const_42_to_fp16, dilations = input_8_dilations_0, groups = input_8_groups_0, pad = input_8_pad_0, pad_type = input_8_pad_type_0, strides = input_8_strides_0, weight = const_41_to_fp16, x = var_351_cast_fp16)[name = string("input_10_cast_fp16")]; fp16 var_365_alpha_0_to_fp16 = const()[name = string("op_365_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_365_beta_0_to_fp16 = const()[name = string("op_365_beta_0_to_fp16"), val = fp16(6)]; tensor var_365_cast_fp16 = clip(alpha = var_365_alpha_0_to_fp16, beta = var_365_beta_0_to_fp16, x = input_10_cast_fp16)[name = string("op_365_cast_fp16")]; string input_48_pad_type_0 = const()[name = string("input_48_pad_type_0"), val = string("valid")]; tensor input_48_strides_0 = const()[name = string("input_48_strides_0"), val = tensor([1, 1])]; tensor input_48_pad_0 = const()[name = string("input_48_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_48_dilations_0 = const()[name = string("input_48_dilations_0"), val = tensor([1, 1])]; int32 input_48_groups_0 = const()[name = string("input_48_groups_0"), val = int32(1)]; tensor const_43_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38656))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41792))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41920)))); tensor const_44_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42048))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42176))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42304)))); tensor input_12_cast_fp16 = conv(bias = const_44_to_fp16, dilations = input_48_dilations_0, groups = input_48_groups_0, pad = input_48_pad_0, pad_type = input_48_pad_type_0, strides = input_48_strides_0, weight = const_43_to_fp16, x = var_365_cast_fp16)[name = string("input_12_cast_fp16")]; string input_16_pad_type_0 = const()[name = string("input_16_pad_type_0"), val = string("valid")]; tensor input_16_strides_0 = const()[name = string("input_16_strides_0"), val = tensor([1, 1])]; tensor input_16_pad_0 = const()[name = string("input_16_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_16_dilations_0 = const()[name = string("input_16_dilations_0"), val = tensor([1, 1])]; int32 input_16_groups_0 = const()[name = string("input_16_groups_0"), val = int32(1)]; tensor const_45_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42432))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(48640))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(48896)))); tensor const_46_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49344))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49600))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49856)))); tensor input_18_cast_fp16 = conv(bias = const_46_to_fp16, dilations = input_16_dilations_0, groups = input_16_groups_0, pad = input_16_pad_0, pad_type = input_16_pad_type_0, strides = input_16_strides_0, weight = const_45_to_fp16, x = input_12_cast_fp16)[name = string("input_18_cast_fp16")]; fp16 var_395_alpha_0_to_fp16 = const()[name = string("op_395_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_395_beta_0_to_fp16 = const()[name = string("op_395_beta_0_to_fp16"), val = fp16(6)]; tensor var_395_cast_fp16 = clip(alpha = var_395_alpha_0_to_fp16, beta = var_395_beta_0_to_fp16, x = input_18_cast_fp16)[name = string("op_395_cast_fp16")]; string input_20_pad_type_0 = const()[name = string("input_20_pad_type_0"), val = string("custom")]; tensor input_20_pad_0 = const()[name = string("input_20_pad_0"), val = tensor([1, 1, 1, 1])]; int32 input_20_groups_0 = const()[name = string("input_20_groups_0"), val = int32(192)]; tensor input_20_strides_0 = const()[name = string("input_20_strides_0"), val = tensor([1, 1])]; tensor input_20_dilations_0 = const()[name = string("input_20_dilations_0"), val = tensor([1, 1])]; tensor const_47_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(50304))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52096))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52352)))); tensor const_48_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52800))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(53056))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(53312)))); tensor input_22_cast_fp16 = conv(bias = const_48_to_fp16, dilations = input_20_dilations_0, groups = input_20_groups_0, pad = input_20_pad_0, pad_type = input_20_pad_type_0, strides = input_20_strides_0, weight = const_47_to_fp16, x = var_395_cast_fp16)[name = string("input_22_cast_fp16")]; fp16 var_409_alpha_0_to_fp16 = const()[name = string("op_409_alpha_0_to_fp16"), val = fp16(0)]; fp16 var_409_beta_0_to_fp16 = const()[name = string("op_409_beta_0_to_fp16"), val = fp16(6)]; tensor var_409_cast_fp16 = clip(alpha = var_409_alpha_0_to_fp16, beta = var_409_beta_0_to_fp16, x = input_22_cast_fp16)[name = string("op_409_cast_fp16")]; string input_24_pad_type_0 = const()[name = string("input_24_pad_type_0"), val = string("valid")]; tensor input_24_strides_0 = const()[name = string("input_24_strides_0"), val = tensor([1, 1])]; tensor input_24_pad_0 = const()[name = string("input_24_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_24_dilations_0 = const()[name = string("input_24_dilations_0"), val = tensor([1, 1])]; int32 input_24_groups_0 = const()[name = string("input_24_groups_0"), val = int32(1)]; tensor const_49_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(53760))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59968))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(60096)))); tensor const_50_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(60224))), offset = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(60352))), scale = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(60480)))); tensor var_420_cast_fp16 = conv(bias = const_50_to_fp16, dilations = input_24_dilations_0, groups = input_24_groups_0, pad = input_24_pad_0, pad_type = input_24_pad_type_0, strides = input_24_strides_0, weight = const_49_to_fp16, x = var_409_cast_fp16)[name = string("op_420_cast_fp16")]; tensor input_26_cast_fp16 = add(x = input_12_cast_fp16, y = var_420_cast_fp16)[name = string("input_26_cast_fp16")]; string input_28_pad_type_0 = const()[name = string("input_28_pad_type_0"), val = string("valid")]; tensor input_28_strides_0 = const()[name = string("input_28_strides_0"), val = tensor([1, 1])]; tensor input_28_pad_0 = const()[name = string("input_28_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_28_dilations_0 = const()[name = string("input_28_dilations_0"), val = tensor([1, 1])]; int32 input_28_groups_0 = const()[name = string("input_28_groups_0"), val = int32(1)]; tensor const_51_to_fp16 = constexpr_blockwise_shift_scale(data = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(60608))), offset = tensor