diff --git "a/Embedding.mlmodelc/model.mil" "b/Embedding.mlmodelc/model.mil" --- "a/Embedding.mlmodelc/model.mil" +++ "b/Embedding.mlmodelc/model.mil" @@ -1,17 +1,17 @@ program(1.0) -[buildInfo = dict, tensor>({{"coremlc-component-MIL", "3500.14.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.8.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0b1"}})] +[buildInfo = dict, tensor>({{"coremlc-component-MIL", "3500.14.1"}, {"coremlc-version", "3500.32.1"}})] { func main(tensor audio_and_weights) [FlexibleShapeInformation = tuple, dict, tensor>>, tuple, dict, list, ?>>>>((("DefaultShapes", {{"audio_and_weights", [1, 1, 1, 160589]}}), ("RangeDims", {{"audio_and_weights", [[1, 32], [1, 1], [1, 1], [160589, 160589]]}})))] { tensor _interp_right_weight = const()[name = tensor("_interp_right_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; tensor _interp_left_weight = const()[name = tensor("_interp_left_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(640)))]; - tensor _fbank_mel_weight = const()[name = tensor("_fbank_mel_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1216)))]; - tensor _fbank_dft_imag_weight = const()[name = tensor("_fbank_dft_imag_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(83520)))]; - tensor _fbank_dft_real_weight = const()[name = tensor("_fbank_dft_real_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(609920)))]; - tensor _fbank_window = const()[name = tensor("_fbank_window"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1136320)))]; + tensor _fbank_mel_weight_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("_fbank_mel_weight_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1216))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22080))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21888)))]; + tensor _fbank_dft_imag_weight_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("_fbank_dft_imag_weight_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22464))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154496))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154112)))]; + tensor _fbank_dft_real_weight_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("_fbank_dft_real_weight_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(155648))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(287296))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154112)))]; + tensor _fbank_window = const()[name = tensor("_fbank_window"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(288448)))]; tensor _fbank_eps = const()[name = tensor("_fbank_eps"), val = tensor(0x1.b7cdfep-34)]; - tensor _fbank_frame_kernel = const()[name = tensor("_fbank_frame_kernel"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1137984)))]; - tensor resnet_seg_1_bias = const()[name = tensor("resnet_seg_1_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1778048)))]; - tensor resnet_seg_1_weight = const()[name = tensor("resnet_seg_1_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1779136)))]; + tensor _fbank_frame_kernel_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("_fbank_frame_kernel_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(290112))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(450688))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(450176)))]; + tensor resnet_seg_1_bias = const()[name = tensor("resnet_seg_1_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(452352)))]; + tensor resnet_seg_1_weight_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("resnet_seg_1_weight_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(453440))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764544))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; tensor var_24_begin_0 = const()[name = tensor("op_24_begin_0"), val = tensor([0, 0, 0, 0])]; tensor var_24_end_0 = const()[name = tensor("op_24_end_0"), val = tensor([0, 1, 1, 160000])]; tensor var_24_end_mask_0 = const()[name = tensor("op_24_end_mask_0"), val = tensor([true, true, true, false])]; @@ -31,7 +31,7 @@ program(1.0) tensor frames_1_pad_0 = const()[name = tensor("frames_1_pad_0"), val = tensor([0, 0])]; tensor frames_1_dilations_0 = const()[name = tensor("frames_1_dilations_0"), val = tensor([1])]; tensor frames_1_groups_0 = const()[name = tensor("frames_1_groups_0"), val = tensor(1)]; - tensor frames_1 = conv(dilations = frames_1_dilations_0, groups = frames_1_groups_0, pad = frames_1_pad_0, pad_type = frames_1_pad_type_0, strides = frames_1_strides_0, weight = _fbank_frame_kernel, x = waveforms_3)[name = tensor("frames_1")]; + tensor frames_1 = conv(dilations = frames_1_dilations_0, groups = frames_1_groups_0, pad = frames_1_pad_0, pad_type = frames_1_pad_type_0, strides = frames_1_strides_0, weight = _fbank_frame_kernel_quantized, x = waveforms_3)[name = tensor("frames_1")]; tensor frames_3_perm_0 = const()[name = tensor("frames_3_perm_0"), val = tensor([0, 2, 1])]; tensor concat_2x = const()[name = tensor("concat_2x"), val = tensor([-1, 400])]; tensor frames_3 = transpose(perm = frames_3_perm_0, x = frames_1)[name = tensor("transpose_1")]; @@ -67,7 +67,7 @@ program(1.0) tensor var_107_pad_0 = const()[name = tensor("op_107_pad_0"), val = tensor([0, 0])]; tensor var_107_dilations_0 = const()[name = tensor("op_107_dilations_0"), val = tensor([1])]; tensor var_107_groups_0 = const()[name = tensor("op_107_groups_0"), val = tensor(1)]; - tensor var_107 = conv(dilations = var_107_dilations_0, groups = var_107_groups_0, pad = var_107_pad_0, pad_type = var_107_pad_type_0, strides = var_107_strides_0, weight = _fbank_dft_real_weight, x = var_100)[name = tensor("op_107")]; + tensor var_107 = conv(dilations = var_107_dilations_0, groups = var_107_groups_0, pad = var_107_pad_0, pad_type = var_107_pad_type_0, strides = var_107_strides_0, weight = _fbank_dft_real_weight_quantized, x = var_100)[name = tensor("op_107")]; tensor real_axes_0 = const()[name = tensor("real_axes_0"), val = tensor([-1])]; tensor real = squeeze(axes = real_axes_0, x = var_107)[name = tensor("real")]; tensor var_113_pad_type_0 = const()[name = tensor("op_113_pad_type_0"), val = tensor("valid")]; @@ -75,7 +75,7 @@ program(1.0) tensor var_113_pad_0 = const()[name = tensor("op_113_pad_0"), val = tensor([0, 0])]; tensor var_113_dilations_0 = const()[name = tensor("op_113_dilations_0"), val = tensor([1])]; tensor var_113_groups_0 = const()[name = tensor("op_113_groups_0"), val = tensor(1)]; - tensor var_113 = conv(dilations = var_113_dilations_0, groups = var_113_groups_0, pad = var_113_pad_0, pad_type = var_113_pad_type_0, strides = var_113_strides_0, weight = _fbank_dft_imag_weight, x = var_100)[name = tensor("op_113")]; + tensor var_113 = conv(dilations = var_113_dilations_0, groups = var_113_groups_0, pad = var_113_pad_0, pad_type = var_113_pad_type_0, strides = var_113_strides_0, weight = _fbank_dft_imag_weight_quantized, x = var_100)[name = tensor("op_113")]; tensor imag_axes_0 = const()[name = tensor("imag_axes_0"), val = tensor([-1])]; tensor imag = squeeze(axes = imag_axes_0, x = var_113)[name = tensor("imag")]; tensor var_55_promoted = const()[name = tensor("op_55_promoted"), val = tensor(0x1p+1)]; @@ -90,7 +90,7 @@ program(1.0) tensor var_123_pad_0 = const()[name = tensor("op_123_pad_0"), val = tensor([0, 0])]; tensor var_123_dilations_0 = const()[name = tensor("op_123_dilations_0"), val = tensor([1])]; tensor var_123_groups_0 = const()[name = tensor("op_123_groups_0"), val = tensor(1)]; - tensor var_123 = conv(dilations = var_123_dilations_0, groups = var_123_groups_0, pad = var_123_pad_0, pad_type = var_123_pad_type_0, strides = var_123_strides_0, weight = _fbank_mel_weight, x = var_118)[name = tensor("op_123")]; + tensor var_123 = conv(dilations = var_123_dilations_0, groups = var_123_groups_0, pad = var_123_pad_0, pad_type = var_123_pad_type_0, strides = var_123_strides_0, weight = _fbank_mel_weight_quantized, x = var_118)[name = tensor("op_123")]; tensor mel_1_axes_0 = const()[name = tensor("mel_1_axes_0"), val = tensor([-1])]; tensor mel_1 = squeeze(axes = mel_1_axes_0, x = var_123)[name = tensor("mel_1")]; tensor const_2 = const()[name = tensor("const_2"), val = tensor(0x1.fffffep+127)]; @@ -109,14 +109,14 @@ program(1.0) tensor input_5 = expand_dims(axes = input_5_axes_0, x = var_148)[name = tensor("input_5")]; tensor left_batch_dims_0 = const()[name = tensor("left_batch_dims_0"), val = tensor(0)]; tensor left_validate_indices_0 = const()[name = tensor("left_validate_indices_0"), val = tensor(false)]; - tensor select_3 = const()[name = tensor("select_3"), val = tensor([0, 4, 9, 14, 18, 23, 28, 33, 37, 42, 47, 52, 56, 61, 66, 71, 75, 80, 85, 90, 94, 99, 104, 109, 113, 118, 123, 128, 132, 137, 142, 147, 151, 156, 161, 165, 170, 175, 180, 184, 189, 194, 199, 203, 208, 213, 218, 222, 227, 232, 237, 241, 246, 251, 256, 260, 265, 270, 275, 279, 284, 289, 294, 298, 303, 308, 312, 317, 322, 327, 331, 336, 341, 346, 350, 355, 360, 365, 369, 374, 379, 384, 388, 393, 398, 403, 407, 412, 417, 422, 426, 431, 436, 441, 445, 450, 455, 459, 464, 469, 474, 478, 483, 488, 493, 497, 502, 507, 512, 516, 521, 526, 531, 535, 540, 545, 550, 554, 559, 564, 569, 573, 578, 583, 588])]; - tensor left_axis_1 = const()[name = tensor("left_axis_1"), val = tensor(1)]; - tensor left = gather(axis = left_axis_1, batch_dims = left_batch_dims_0, indices = select_3, validate_indices = left_validate_indices_0, x = weights_1)[name = tensor("left")]; + tensor select_0 = const()[name = tensor("select_0"), val = tensor([0, 4, 9, 14, 18, 23, 28, 33, 37, 42, 47, 52, 56, 61, 66, 71, 75, 80, 85, 90, 94, 99, 104, 109, 113, 118, 123, 128, 132, 137, 142, 147, 151, 156, 161, 165, 170, 175, 180, 184, 189, 194, 199, 203, 208, 213, 218, 222, 227, 232, 237, 241, 246, 251, 256, 260, 265, 270, 275, 279, 284, 289, 294, 298, 303, 308, 312, 317, 322, 327, 331, 336, 341, 346, 350, 355, 360, 365, 369, 374, 379, 384, 388, 393, 398, 403, 407, 412, 417, 422, 426, 431, 436, 441, 445, 450, 455, 459, 464, 469, 474, 478, 483, 488, 493, 497, 502, 507, 512, 516, 521, 526, 531, 535, 540, 545, 550, 554, 559, 564, 569, 573, 578, 583, 588])]; + tensor left_axis_0 = const()[name = tensor("left_axis_0"), val = tensor(1)]; + tensor left = gather(axis = left_axis_0, batch_dims = left_batch_dims_0, indices = select_0, validate_indices = left_validate_indices_0, x = weights_1)[name = tensor("left")]; tensor right_batch_dims_0 = const()[name = tensor("right_batch_dims_0"), val = tensor(0)]; tensor right_validate_indices_0 = const()[name = tensor("right_validate_indices_0"), val = tensor(false)]; - tensor select_4 = const()[name = tensor("select_4"), val = tensor([1, 5, 10, 15, 19, 24, 29, 34, 38, 43, 48, 53, 57, 62, 67, 72, 76, 81, 86, 91, 95, 100, 105, 110, 114, 119, 124, 129, 133, 138, 143, 148, 152, 157, 162, 166, 171, 176, 181, 185, 190, 195, 200, 204, 209, 214, 219, 223, 228, 233, 238, 242, 247, 252, 257, 261, 266, 271, 276, 280, 285, 290, 295, 299, 304, 309, 313, 318, 323, 328, 332, 337, 342, 347, 351, 356, 361, 366, 370, 375, 380, 385, 389, 394, 399, 404, 408, 413, 418, 423, 427, 432, 437, 442, 446, 451, 456, 460, 465, 470, 475, 479, 484, 489, 494, 498, 503, 508, 513, 517, 522, 527, 532, 536, 541, 546, 551, 555, 560, 565, 570, 574, 579, 584, 588])]; - tensor right_axis_1 = const()[name = tensor("right_axis_1"), val = tensor(1)]; - tensor right = gather(axis = right_axis_1, batch_dims = right_batch_dims_0, indices = select_4, validate_indices = right_validate_indices_0, x = weights_1)[name = tensor("right")]; + tensor select_1 = const()[name = tensor("select_1"), val = tensor([1, 5, 10, 15, 19, 24, 29, 34, 38, 43, 48, 53, 57, 62, 67, 72, 76, 81, 86, 91, 95, 100, 105, 110, 114, 119, 124, 129, 133, 138, 143, 148, 152, 157, 162, 166, 171, 176, 181, 185, 190, 195, 200, 204, 209, 214, 219, 223, 228, 233, 238, 242, 247, 252, 257, 261, 266, 271, 276, 280, 285, 290, 295, 299, 304, 309, 313, 318, 323, 328, 332, 337, 342, 347, 351, 356, 361, 366, 370, 375, 380, 385, 389, 394, 399, 404, 408, 413, 418, 423, 427, 432, 437, 442, 446, 451, 456, 460, 465, 470, 475, 479, 484, 489, 494, 498, 503, 508, 513, 517, 522, 527, 532, 536, 541, 546, 551, 555, 560, 565, 570, 574, 579, 584, 588])]; + tensor right_axis_0 = const()[name = tensor("right_axis_0"), val = tensor(1)]; + tensor right = gather(axis = right_axis_0, batch_dims = right_batch_dims_0, indices = select_1, validate_indices = right_validate_indices_0, x = weights_1)[name = tensor("right")]; tensor var_171 = mul(x = left, y = _interp_left_weight)[name = tensor("op_171")]; tensor var_172 = mul(x = right, y = _interp_right_weight)[name = tensor("op_172")]; tensor weights_3 = add(x = var_171, y = var_172)[name = tensor("weights_3")]; @@ -127,8 +127,8 @@ program(1.0) tensor input_7_strides_0 = const()[name = tensor("input_7_strides_0"), val = tensor([1, 1])]; tensor input_7_dilations_0 = const()[name = tensor("input_7_dilations_0"), val = tensor([1, 1])]; tensor input_7_groups_0 = const()[name = tensor("input_7_groups_0"), val = tensor(1)]; - tensor const_5 = const()[name = tensor("const_5"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7022080)))]; - tensor const_6 = const()[name = tensor("const_6"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7023296)))]; + tensor const_5 = const()[name = tensor("const_5"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1765632)))]; + tensor const_6 = const()[name = tensor("const_6"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1766848)))]; tensor input_9 = conv(bias = const_6, dilations = input_7_dilations_0, groups = input_7_groups_0, pad = input_7_pad_0, pad_type = input_7_pad_type_0, strides = input_7_strides_0, weight = const_5, x = input_5)[name = tensor("input_9")]; tensor input_11 = relu(x = input_9)[name = tensor("input_11")]; tensor input_13_pad_type_0 = const()[name = tensor("input_13_pad_type_0"), val = tensor("custom")]; @@ -136,18 +136,18 @@ program(1.0) tensor input_13_strides_0 = const()[name = tensor("input_13_strides_0"), val = tensor([1, 1])]; tensor input_13_dilations_0 = const()[name = tensor("input_13_dilations_0"), val = tensor([1, 1])]; tensor input_13_groups_0 = const()[name = tensor("input_13_groups_0"), val = tensor(1)]; - tensor const_7 = const()[name = tensor("const_7"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7023488)))]; - tensor const_8 = const()[name = tensor("const_8"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7060416)))]; - tensor input_15 = conv(bias = const_8, 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, x = input_11)[name = tensor("input_15")]; + tensor const_7_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_7_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1767040))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1776448))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1776320)))]; + tensor const_8 = const()[name = tensor("const_8"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1776640)))]; + tensor input_15 = conv(bias = const_8, 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_quantized, x = input_11)[name = tensor("input_15")]; tensor input_17 = relu(x = input_15)[name = tensor("input_17")]; tensor input_19_pad_type_0 = const()[name = tensor("input_19_pad_type_0"), val = tensor("custom")]; tensor input_19_pad_0 = const()[name = tensor("input_19_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_19_strides_0 = const()[name = tensor("input_19_strides_0"), val = tensor([1, 1])]; tensor input_19_dilations_0 = const()[name = tensor("input_19_dilations_0"), val = tensor([1, 1])]; tensor input_19_groups_0 = const()[name = tensor("input_19_groups_0"), val = tensor(1)]; - tensor const_9 = const()[name = tensor("const_9"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7060608)))]; - tensor const_10 = const()[name = tensor("const_10"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7097536)))]; - tensor out_1 = conv(bias = const_10, dilations = input_19_dilations_0, groups = input_19_groups_0, pad = input_19_pad_0, pad_type = input_19_pad_type_0, strides = input_19_strides_0, weight = const_9, x = input_17)[name = tensor("out_1")]; + tensor const_9_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_9_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1776832))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1786240))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1786112)))]; + tensor const_10 = const()[name = tensor("const_10"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1786432)))]; + tensor out_1 = conv(bias = const_10, dilations = input_19_dilations_0, groups = input_19_groups_0, pad = input_19_pad_0, pad_type = input_19_pad_type_0, strides = input_19_strides_0, weight = const_9_quantized, x = input_17)[name = tensor("out_1")]; tensor input_21 = add(x = out_1, y = input_11)[name = tensor("input_21")]; tensor input_23 = relu(x = input_21)[name = tensor("input_23")]; tensor input_25_pad_type_0 = const()[name = tensor("input_25_pad_type_0"), val = tensor("custom")]; @@ -155,18 +155,18 @@ program(1.0) tensor input_25_strides_0 = const()[name = tensor("input_25_strides_0"), val = tensor([1, 1])]; tensor input_25_dilations_0 = const()[name = tensor("input_25_dilations_0"), val = tensor([1, 1])]; tensor input_25_groups_0 = const()[name = tensor("input_25_groups_0"), val = tensor(1)]; - tensor const_11 = const()[name = tensor("const_11"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7097728)))]; - tensor const_12 = const()[name = tensor("const_12"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7134656)))]; - tensor input_27 = conv(bias = const_12, dilations = input_25_dilations_0, groups = input_25_groups_0, pad = input_25_pad_0, pad_type = input_25_pad_type_0, strides = input_25_strides_0, weight = const_11, x = input_23)[name = tensor("input_27")]; + tensor const_11_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_11_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1786624))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1796032))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1795904)))]; + tensor const_12 = const()[name = tensor("const_12"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1796224)))]; + tensor input_27 = conv(bias = const_12, dilations = input_25_dilations_0, groups = input_25_groups_0, pad = input_25_pad_0, pad_type = input_25_pad_type_0, strides = input_25_strides_0, weight = const_11_quantized, x = input_23)[name = tensor("input_27")]; tensor input_29 = relu(x = input_27)[name = tensor("input_29")]; tensor input_31_pad_type_0 = const()[name = tensor("input_31_pad_type_0"), val = tensor("custom")]; tensor input_31_pad_0 = const()[name = tensor("input_31_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_31_strides_0 = const()[name = tensor("input_31_strides_0"), val = tensor([1, 1])]; tensor input_31_dilations_0 = const()[name = tensor("input_31_dilations_0"), val = tensor([1, 1])]; tensor input_31_groups_0 = const()[name = tensor("input_31_groups_0"), val = tensor(1)]; - tensor const_13 = const()[name = tensor("const_13"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7134848)))]; - tensor const_14 = const()[name = tensor("const_14"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7171776)))]; - tensor out_3 = conv(bias = const_14, dilations = input_31_dilations_0, groups = input_31_groups_0, pad = input_31_pad_0, pad_type = input_31_pad_type_0, strides = input_31_strides_0, weight = const_13, x = input_29)[name = tensor("out_3")]; + tensor const_13_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_13_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1796416))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1805824))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1805696)))]; + tensor const_14 = const()[name = tensor("const_14"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1806016)))]; + tensor out_3 = conv(bias = const_14, dilations = input_31_dilations_0, groups = input_31_groups_0, pad = input_31_pad_0, pad_type = input_31_pad_type_0, strides = input_31_strides_0, weight = const_13_quantized, x = input_29)[name = tensor("out_3")]; tensor input_33 = add(x = out_3, y = input_23)[name = tensor("input_33")]; tensor input_35 = relu(x = input_33)[name = tensor("input_35")]; tensor input_37_pad_type_0 = const()[name = tensor("input_37_pad_type_0"), val = tensor("custom")]; @@ -174,18 +174,18 @@ program(1.0) tensor input_37_strides_0 = const()[name = tensor("input_37_strides_0"), val = tensor([1, 1])]; tensor input_37_dilations_0 = const()[name = tensor("input_37_dilations_0"), val = tensor([1, 1])]; tensor input_37_groups_0 = const()[name = tensor("input_37_groups_0"), val = tensor(1)]; - tensor const_15 = const()[name = tensor("const_15"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7171968)))]; - tensor const_16 = const()[name = tensor("const_16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7208896)))]; - tensor input_39 = conv(bias = const_16, 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_15, x = input_35)[name = tensor("input_39")]; + tensor const_15_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_15_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1806208))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1815616))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1815488)))]; + tensor const_16 = const()[name = tensor("const_16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1815808)))]; + tensor input_39 = conv(bias = const_16, 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_15_quantized, x = input_35)[name = tensor("input_39")]; tensor input_41 = relu(x = input_39)[name = tensor("input_41")]; tensor input_43_pad_type_0 = const()[name = tensor("input_43_pad_type_0"), val = tensor("custom")]; tensor input_43_pad_0 = const()[name = tensor("input_43_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_43_strides_0 = const()[name = tensor("input_43_strides_0"), val = tensor([1, 1])]; tensor input_43_dilations_0 = const()[name = tensor("input_43_dilations_0"), val = tensor([1, 1])]; tensor input_43_groups_0 = const()[name = tensor("input_43_groups_0"), val = tensor(1)]; - tensor const_17 = const()[name = tensor("const_17"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7209088)))]; - tensor const_18 = const()[name = tensor("const_18"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7246016)))]; - tensor out_5 = conv(bias = const_18, 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_17, x = input_41)[name = tensor("out_5")]; + tensor const_17_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_17_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1816000))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1825408))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1825280)))]; + tensor const_18 = const()[name = tensor("const_18"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1825600)))]; + tensor out_5 = conv(bias = const_18, 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_17_quantized, x = input_41)[name = tensor("out_5")]; tensor input_45 = add(x = out_5, y = input_35)[name = tensor("input_45")]; tensor input_47 = relu(x = input_45)[name = tensor("input_47")]; tensor input_49_pad_type_0 = const()[name = tensor("input_49_pad_type_0"), val = tensor("custom")]; @@ -193,26 +193,26 @@ program(1.0) tensor input_49_strides_0 = const()[name = tensor("input_49_strides_0"), val = tensor([2, 2])]; tensor input_49_dilations_0 = const()[name = tensor("input_49_dilations_0"), val = tensor([1, 1])]; tensor input_49_groups_0 = const()[name = tensor("input_49_groups_0"), val = tensor(1)]; - tensor const_19 = const()[name = tensor("const_19"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7246208)))]; - tensor const_20 = const()[name = tensor("const_20"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7320000)))]; - tensor input_51 = conv(bias = const_20, 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_19, x = input_47)[name = tensor("input_51")]; + tensor const_19_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_19_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1825792))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1844416))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1844288)))]; + tensor const_20 = const()[name = tensor("const_20"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1844736)))]; + tensor input_51 = conv(bias = const_20, 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_19_quantized, x = input_47)[name = tensor("input_51")]; tensor input_53 = relu(x = input_51)[name = tensor("input_53")]; tensor input_55_pad_type_0 = const()[name = tensor("input_55_pad_type_0"), val = tensor("custom")]; tensor input_55_pad_0 = const()[name = tensor("input_55_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_55_strides_0 = const()[name = tensor("input_55_strides_0"), val = tensor([1, 1])]; tensor input_55_dilations_0 = const()[name = tensor("input_55_dilations_0"), val = tensor([1, 1])]; tensor input_55_groups_0 = const()[name = tensor("input_55_groups_0"), val = tensor(1)]; - tensor const_21 = const()[name = tensor("const_21"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7320320)))]; - tensor const_22 = const()[name = tensor("const_22"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7467840)))]; - tensor out_7 = conv(bias = const_22, dilations = input_55_dilations_0, groups = input_55_groups_0, pad = input_55_pad_0, pad_type = input_55_pad_type_0, strides = input_55_strides_0, weight = const_21, x = input_53)[name = tensor("out_7")]; + tensor const_21_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_21_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1845056))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1882112))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1881984)))]; + tensor const_22 = const()[name = tensor("const_22"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1882432)))]; + tensor out_7 = conv(bias = const_22, dilations = input_55_dilations_0, groups = input_55_groups_0, pad = input_55_pad_0, pad_type = input_55_pad_type_0, strides = input_55_strides_0, weight = const_21_quantized, x = input_53)[name = tensor("out_7")]; tensor input_57_pad_type_0 = const()[name = tensor("input_57_pad_type_0"), val = tensor("valid")]; tensor input_57_strides_0 = const()[name = tensor("input_57_strides_0"), val = tensor([2, 2])]; tensor input_57_pad_0 = const()[name = tensor("input_57_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_57_dilations_0 = const()[name = tensor("input_57_dilations_0"), val = tensor([1, 1])]; tensor input_57_groups_0 = const()[name = tensor("input_57_groups_0"), val = tensor(1)]; - tensor const_23 = const()[name = tensor("const_23"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7468160)))]; - tensor const_24 = const()[name = tensor("const_24"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7476416)))]; - tensor var_339 = conv(bias = const_24, 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_23, x = input_47)[name = tensor("op_339")]; + tensor const_23_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_23_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1882752))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1884992))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1884864)))]; + tensor const_24 = const()[name = tensor("const_24"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1885312)))]; + tensor var_339 = conv(bias = const_24, 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_23_quantized, x = input_47)[name = tensor("op_339")]; tensor input_59 = add(x = out_7, y = var_339)[name = tensor("input_59")]; tensor input_61 = relu(x = input_59)[name = tensor("input_61")]; tensor input_63_pad_type_0 = const()[name = tensor("input_63_pad_type_0"), val = tensor("custom")]; @@ -220,18 +220,18 @@ program(1.0) tensor input_63_strides_0 = const()[name = tensor("input_63_strides_0"), val = tensor([1, 1])]; tensor input_63_dilations_0 = const()[name = tensor("input_63_dilations_0"), val = tensor([1, 1])]; tensor input_63_groups_0 = const()[name = tensor("input_63_groups_0"), val = tensor(1)]; - tensor const_25 = const()[name = tensor("const_25"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7476736)))]; - tensor const_26 = const()[name = tensor("const_26"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7624256)))]; - tensor input_65 = conv(bias = const_26, dilations = input_63_dilations_0, groups = input_63_groups_0, pad = input_63_pad_0, pad_type = input_63_pad_type_0, strides = input_63_strides_0, weight = const_25, x = input_61)[name = tensor("input_65")]; + tensor const_25_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_25_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1885632))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1922688))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1922560)))]; + tensor const_26 = const()[name = tensor("const_26"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1923008)))]; + tensor input_65 = conv(bias = const_26, dilations = input_63_dilations_0, groups = input_63_groups_0, pad = input_63_pad_0, pad_type = input_63_pad_type_0, strides = input_63_strides_0, weight = const_25_quantized, x = input_61)[name = tensor("input_65")]; tensor input_67 = relu(x = input_65)[name = tensor("input_67")]; tensor input_69_pad_type_0 = const()[name = tensor("input_69_pad_type_0"), val = tensor("custom")]; tensor input_69_pad_0 = const()[name = tensor("input_69_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_69_strides_0 = const()[name = tensor("input_69_strides_0"), val = tensor([1, 1])]; tensor input_69_dilations_0 = const()[name = tensor("input_69_dilations_0"), val = tensor([1, 1])]; tensor input_69_groups_0 = const()[name = tensor("input_69_groups_0"), val = tensor(1)]; - tensor const_27 = const()[name = tensor("const_27"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7624576)))]; - tensor const_28 = const()[name = tensor("const_28"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7772096)))]; - tensor out_9 = conv(bias = const_28, 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_27, x = input_67)[name = tensor("out_9")]; + tensor const_27_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_27_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1923328))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1960384))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1960256)))]; + tensor const_28 = const()[name = tensor("const_28"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1960704)))]; + tensor out_9 = conv(bias = const_28, 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_27_quantized, x = input_67)[name = tensor("out_9")]; tensor input_71 = add(x = out_9, y = input_61)[name = tensor("input_71")]; tensor input_73 = relu(x = input_71)[name = tensor("input_73")]; tensor input_75_pad_type_0 = const()[name = tensor("input_75_pad_type_0"), val = tensor("custom")]; @@ -239,18 +239,18 @@ program(1.0) tensor input_75_strides_0 = const()[name = tensor("input_75_strides_0"), val = tensor([1, 1])]; tensor input_75_dilations_0 = const()[name = tensor("input_75_dilations_0"), val = tensor([1, 1])]; tensor input_75_groups_0 = const()[name = tensor("input_75_groups_0"), val = tensor(1)]; - tensor const_29 = const()[name = tensor("const_29"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7772416)))]; - tensor const_30 = const()[name = tensor("const_30"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7919936)))]; - tensor input_77 = conv(bias = const_30, dilations = input_75_dilations_0, groups = input_75_groups_0, pad = input_75_pad_0, pad_type = input_75_pad_type_0, strides = input_75_strides_0, weight = const_29, x = input_73)[name = tensor("input_77")]; + tensor const_29_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_29_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1961024))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1998080))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1997952)))]; + tensor const_30 = const()[name = tensor("const_30"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1998400)))]; + tensor input_77 = conv(bias = const_30, dilations = input_75_dilations_0, groups = input_75_groups_0, pad = input_75_pad_0, pad_type = input_75_pad_type_0, strides = input_75_strides_0, weight = const_29_quantized, x = input_73)[name = tensor("input_77")]; tensor input_79 = relu(x = input_77)[name = tensor("input_79")]; tensor input_81_pad_type_0 = const()[name = tensor("input_81_pad_type_0"), val = tensor("custom")]; tensor input_81_pad_0 = const()[name = tensor("input_81_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_81_strides_0 = const()[name = tensor("input_81_strides_0"), val = tensor([1, 1])]; tensor input_81_dilations_0 = const()[name = tensor("input_81_dilations_0"), val = tensor([1, 1])]; tensor input_81_groups_0 = const()[name = tensor("input_81_groups_0"), val = tensor(1)]; - tensor const_31 = const()[name = tensor("const_31"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7920256)))]; - tensor const_32 = const()[name = tensor("const_32"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8067776)))]; - tensor out_11 = conv(bias = const_32, 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_31, x = input_79)[name = tensor("out_11")]; + tensor const_31_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_31_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1998720))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2035776))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2035648)))]; + tensor const_32 = const()[name = tensor("const_32"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2036096)))]; + tensor out_11 = conv(bias = const_32, 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_31_quantized, x = input_79)[name = tensor("out_11")]; tensor input_83 = add(x = out_11, y = input_73)[name = tensor("input_83")]; tensor input_85 = relu(x = input_83)[name = tensor("input_85")]; tensor input_87_pad_type_0 = const()[name = tensor("input_87_pad_type_0"), val = tensor("custom")]; @@ -258,18 +258,18 @@ program(1.0) tensor input_87_strides_0 = const()[name = tensor("input_87_strides_0"), val = tensor([1, 1])]; tensor input_87_dilations_0 = const()[name = tensor("input_87_dilations_0"), val = tensor([1, 1])]; tensor input_87_groups_0 = const()[name = tensor("input_87_groups_0"), val = tensor(1)]; - tensor const_33 = const()[name = tensor("const_33"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8068096)))]; - tensor const_34 = const()[name = tensor("const_34"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8215616)))]; - tensor input_89 = conv(bias = const_34, dilations = input_87_dilations_0, groups = input_87_groups_0, pad = input_87_pad_0, pad_type = input_87_pad_type_0, strides = input_87_strides_0, weight = const_33, x = input_85)[name = tensor("input_89")]; + tensor const_33_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_33_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2036416))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2073472))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2073344)))]; + tensor const_34 = const()[name = tensor("const_34"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2073792)))]; + tensor input_89 = conv(bias = const_34, dilations = input_87_dilations_0, groups = input_87_groups_0, pad = input_87_pad_0, pad_type = input_87_pad_type_0, strides = input_87_strides_0, weight = const_33_quantized, x = input_85)[name = tensor("input_89")]; tensor input_91 = relu(x = input_89)[name = tensor("input_91")]; tensor input_93_pad_type_0 = const()[name = tensor("input_93_pad_type_0"), val = tensor("custom")]; tensor input_93_pad_0 = const()[name = tensor("input_93_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_93_strides_0 = const()[name = tensor("input_93_strides_0"), val = tensor([1, 1])]; tensor input_93_dilations_0 = const()[name = tensor("input_93_dilations_0"), val = tensor([1, 1])]; tensor input_93_groups_0 = const()[name = tensor("input_93_groups_0"), val = tensor(1)]; - tensor const_35 = const()[name = tensor("const_35"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8215936)))]; - tensor const_36 = const()[name = tensor("const_36"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8363456)))]; - tensor out_13 = conv(bias = const_36, dilations = input_93_dilations_0, groups = input_93_groups_0, pad = input_93_pad_0, pad_type = input_93_pad_type_0, strides = input_93_strides_0, weight = const_35, x = input_91)[name = tensor("out_13")]; + tensor const_35_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_35_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2074112))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2111168))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2111040)))]; + tensor const_36 = const()[name = tensor("const_36"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2111488)))]; + tensor out_13 = conv(bias = const_36, dilations = input_93_dilations_0, groups = input_93_groups_0, pad = input_93_pad_0, pad_type = input_93_pad_type_0, strides = input_93_strides_0, weight = const_35_quantized, x = input_91)[name = tensor("out_13")]; tensor input_95 = add(x = out_13, y = input_85)[name = tensor("input_95")]; tensor input_97 = relu(x = input_95)[name = tensor("input_97")]; tensor input_99_pad_type_0 = const()[name = tensor("input_99_pad_type_0"), val = tensor("custom")]; @@ -277,26 +277,26 @@ program(1.0) tensor input_99_strides_0 = const()[name = tensor("input_99_strides_0"), val = tensor([2, 2])]; tensor input_99_dilations_0 = const()[name = tensor("input_99_dilations_0"), val = tensor([1, 1])]; tensor input_99_groups_0 = const()[name = tensor("input_99_groups_0"), val = tensor(1)]; - tensor const_37 = const()[name = tensor("const_37"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8363776)))]; - tensor const_38 = const()[name = tensor("const_38"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8658752)))]; - tensor input_101 = conv(bias = const_38, dilations = input_99_dilations_0, groups = input_99_groups_0, pad = input_99_pad_0, pad_type = input_99_pad_type_0, strides = input_99_strides_0, weight = const_37, x = input_97)[name = tensor("input_101")]; + tensor const_37_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_37_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2111808))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185792))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_38 = const()[name = tensor("const_38"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2186368)))]; + tensor input_101 = conv(bias = const_38, dilations = input_99_dilations_0, groups = input_99_groups_0, pad = input_99_pad_0, pad_type = input_99_pad_type_0, strides = input_99_strides_0, weight = const_37_quantized, x = input_97)[name = tensor("input_101")]; tensor input_103 = relu(x = input_101)[name = tensor("input_103")]; tensor input_105_pad_type_0 = const()[name = tensor("input_105_pad_type_0"), val = tensor("custom")]; tensor input_105_pad_0 = const()[name = tensor("input_105_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_105_strides_0 = const()[name = tensor("input_105_strides_0"), val = tensor([1, 1])]; tensor input_105_dilations_0 = const()[name = tensor("input_105_dilations_0"), val = tensor([1, 1])]; tensor input_105_groups_0 = const()[name = tensor("input_105_groups_0"), val = tensor(1)]; - tensor const_39 = const()[name = tensor("const_39"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8659328)))]; - tensor const_40 = const()[name = tensor("const_40"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9249216)))]; - tensor out_15 = conv(bias = const_40, dilations = input_105_dilations_0, groups = input_105_groups_0, pad = input_105_pad_0, pad_type = input_105_pad_type_0, strides = input_105_strides_0, weight = const_39, x = input_103)[name = tensor("out_15")]; + tensor const_39_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_39_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2186944))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2334464))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_40 = const()[name = tensor("const_40"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2335040)))]; + tensor out_15 = conv(bias = const_40, dilations = input_105_dilations_0, groups = input_105_groups_0, pad = input_105_pad_0, pad_type = input_105_pad_type_0, strides = input_105_strides_0, weight = const_39_quantized, x = input_103)[name = tensor("out_15")]; tensor input_107_pad_type_0 = const()[name = tensor("input_107_pad_type_0"), val = tensor("valid")]; tensor input_107_strides_0 = const()[name = tensor("input_107_strides_0"), val = tensor([2, 2])]; tensor input_107_pad_0 = const()[name = tensor("input_107_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_107_dilations_0 = const()[name = tensor("input_107_dilations_0"), val = tensor([1, 1])]; tensor input_107_groups_0 = const()[name = tensor("input_107_groups_0"), val = tensor(1)]; - tensor const_41 = const()[name = tensor("const_41"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9249792)))]; - tensor const_42 = const()[name = tensor("const_42"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9282624)))]; - tensor var_475 = conv(bias = const_42, dilations = input_107_dilations_0, groups = input_107_groups_0, pad = input_107_pad_0, pad_type = input_107_pad_type_0, strides = input_107_strides_0, weight = const_41, x = input_97)[name = tensor("op_475")]; + tensor const_41_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_41_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2335616))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2343872))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_42 = const()[name = tensor("const_42"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2344448)))]; + tensor var_475 = conv(bias = const_42, dilations = input_107_dilations_0, groups = input_107_groups_0, pad = input_107_pad_0, pad_type = input_107_pad_type_0, strides = input_107_strides_0, weight = const_41_quantized, x = input_97)[name = tensor("op_475")]; tensor input_109 = add(x = out_15, y = var_475)[name = tensor("input_109")]; tensor input_111 = relu(x = input_109)[name = tensor("input_111")]; tensor input_113_pad_type_0 = const()[name = tensor("input_113_pad_type_0"), val = tensor("custom")]; @@ -304,18 +304,18 @@ program(1.0) tensor input_113_strides_0 = const()[name = tensor("input_113_strides_0"), val = tensor([1, 1])]; tensor input_113_dilations_0 = const()[name = tensor("input_113_dilations_0"), val = tensor([1, 1])]; tensor input_113_groups_0 = const()[name = tensor("input_113_groups_0"), val = tensor(1)]; - tensor const_43 = const()[name = tensor("const_43"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9283200)))]; - tensor const_44 = const()[name = tensor("const_44"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9873088)))]; - tensor input_115 = conv(bias = const_44, dilations = input_113_dilations_0, groups = input_113_groups_0, pad = input_113_pad_0, pad_type = input_113_pad_type_0, strides = input_113_strides_0, weight = const_43, x = input_111)[name = tensor("input_115")]; + tensor const_43_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_43_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2345024))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2492544))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_44 = const()[name = tensor("const_44"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2493120)))]; + tensor input_115 = conv(bias = const_44, dilations = input_113_dilations_0, groups = input_113_groups_0, pad = input_113_pad_0, pad_type = input_113_pad_type_0, strides = input_113_strides_0, weight = const_43_quantized, x = input_111)[name = tensor("input_115")]; tensor input_117 = relu(x = input_115)[name = tensor("input_117")]; tensor input_119_pad_type_0 = const()[name = tensor("input_119_pad_type_0"), val = tensor("custom")]; tensor input_119_pad_0 = const()[name = tensor("input_119_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_119_strides_0 = const()[name = tensor("input_119_strides_0"), val = tensor([1, 1])]; tensor input_119_dilations_0 = const()[name = tensor("input_119_dilations_0"), val = tensor([1, 1])]; tensor input_119_groups_0 = const()[name = tensor("input_119_groups_0"), val = tensor(1)]; - tensor const_45 = const()[name = tensor("const_45"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9873664)))]; - tensor const_46 = const()[name = tensor("const_46"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10463552)))]; - tensor out_17 = conv(bias = const_46, dilations = input_119_dilations_0, groups = input_119_groups_0, pad = input_119_pad_0, pad_type = input_119_pad_type_0, strides = input_119_strides_0, weight = const_45, x = input_117)[name = tensor("out_17")]; + tensor const_45_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_45_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2493696))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2641216))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_46 = const()[name = tensor("const_46"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2641792)))]; + tensor out_17 = conv(bias = const_46, dilations = input_119_dilations_0, groups = input_119_groups_0, pad = input_119_pad_0, pad_type = input_119_pad_type_0, strides = input_119_strides_0, weight = const_45_quantized, x = input_117)[name = tensor("out_17")]; tensor input_121 = add(x = out_17, y = input_111)[name = tensor("input_121")]; tensor input_123 = relu(x = input_121)[name = tensor("input_123")]; tensor input_125_pad_type_0 = const()[name = tensor("input_125_pad_type_0"), val = tensor("custom")]; @@ -323,18 +323,18 @@ program(1.0) tensor input_125_strides_0 = const()[name = tensor("input_125_strides_0"), val = tensor([1, 1])]; tensor input_125_dilations_0 = const()[name = tensor("input_125_dilations_0"), val = tensor([1, 1])]; tensor input_125_groups_0 = const()[name = tensor("input_125_groups_0"), val = tensor(1)]; - tensor const_47 = const()[name = tensor("const_47"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10464128)))]; - tensor const_48 = const()[name = tensor("const_48"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11054016)))]; - tensor input_127 = conv(bias = const_48, dilations = input_125_dilations_0, groups = input_125_groups_0, pad = input_125_pad_0, pad_type = input_125_pad_type_0, strides = input_125_strides_0, weight = const_47, x = input_123)[name = tensor("input_127")]; + tensor const_47_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_47_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2642368))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2789888))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_48 = const()[name = tensor("const_48"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2790464)))]; + tensor input_127 = conv(bias = const_48, dilations = input_125_dilations_0, groups = input_125_groups_0, pad = input_125_pad_0, pad_type = input_125_pad_type_0, strides = input_125_strides_0, weight = const_47_quantized, x = input_123)[name = tensor("input_127")]; tensor input_129 = relu(x = input_127)[name = tensor("input_129")]; tensor input_131_pad_type_0 = const()[name = tensor("input_131_pad_type_0"), val = tensor("custom")]; tensor input_131_pad_0 = const()[name = tensor("input_131_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_131_strides_0 = const()[name = tensor("input_131_strides_0"), val = tensor([1, 1])]; tensor input_131_dilations_0 = const()[name = tensor("input_131_dilations_0"), val = tensor([1, 1])]; tensor input_131_groups_0 = const()[name = tensor("input_131_groups_0"), val = tensor(1)]; - tensor const_49 = const()[name = tensor("const_49"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11054592)))]; - tensor const_50 = const()[name = tensor("const_50"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11644480)))]; - tensor out_19 = conv(bias = const_50, dilations = input_131_dilations_0, groups = input_131_groups_0, pad = input_131_pad_0, pad_type = input_131_pad_type_0, strides = input_131_strides_0, weight = const_49, x = input_129)[name = tensor("out_19")]; + tensor const_49_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_49_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2791040))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2938560))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_50 = const()[name = tensor("const_50"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2939136)))]; + tensor out_19 = conv(bias = const_50, dilations = input_131_dilations_0, groups = input_131_groups_0, pad = input_131_pad_0, pad_type = input_131_pad_type_0, strides = input_131_strides_0, weight = const_49_quantized, x = input_129)[name = tensor("out_19")]; tensor input_133 = add(x = out_19, y = input_123)[name = tensor("input_133")]; tensor input_135 = relu(x = input_133)[name = tensor("input_135")]; tensor input_137_pad_type_0 = const()[name = tensor("input_137_pad_type_0"), val = tensor("custom")]; @@ -342,18 +342,18 @@ program(1.0) tensor input_137_strides_0 = const()[name = tensor("input_137_strides_0"), val = tensor([1, 1])]; tensor input_137_dilations_0 = const()[name = tensor("input_137_dilations_0"), val = tensor([1, 1])]; tensor input_137_groups_0 = const()[name = tensor("input_137_groups_0"), val = tensor(1)]; - tensor const_51 = const()[name = tensor("const_51"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11645056)))]; - tensor const_52 = const()[name = tensor("const_52"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12234944)))]; - tensor input_139 = conv(bias = const_52, dilations = input_137_dilations_0, groups = input_137_groups_0, pad = input_137_pad_0, pad_type = input_137_pad_type_0, strides = input_137_strides_0, weight = const_51, x = input_135)[name = tensor("input_139")]; + tensor const_51_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_51_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2939712))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3087232))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_52 = const()[name = tensor("const_52"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3087808)))]; + tensor input_139 = conv(bias = const_52, dilations = input_137_dilations_0, groups = input_137_groups_0, pad = input_137_pad_0, pad_type = input_137_pad_type_0, strides = input_137_strides_0, weight = const_51_quantized, x = input_135)[name = tensor("input_139")]; tensor input_141 = relu(x = input_139)[name = tensor("input_141")]; tensor input_143_pad_type_0 = const()[name = tensor("input_143_pad_type_0"), val = tensor("custom")]; tensor input_143_pad_0 = const()[name = tensor("input_143_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_143_strides_0 = const()[name = tensor("input_143_strides_0"), val = tensor([1, 1])]; tensor input_143_dilations_0 = const()[name = tensor("input_143_dilations_0"), val = tensor([1, 1])]; tensor input_143_groups_0 = const()[name = tensor("input_143_groups_0"), val = tensor(1)]; - tensor const_53 = const()[name = tensor("const_53"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12235520)))]; - tensor const_54 = const()[name = tensor("const_54"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12825408)))]; - tensor out_21 = conv(bias = const_54, dilations = input_143_dilations_0, groups = input_143_groups_0, pad = input_143_pad_0, pad_type = input_143_pad_type_0, strides = input_143_strides_0, weight = const_53, x = input_141)[name = tensor("out_21")]; + tensor const_53_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_53_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3088384))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3235904))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_54 = const()[name = tensor("const_54"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3236480)))]; + tensor out_21 = conv(bias = const_54, dilations = input_143_dilations_0, groups = input_143_groups_0, pad = input_143_pad_0, pad_type = input_143_pad_type_0, strides = input_143_strides_0, weight = const_53_quantized, x = input_141)[name = tensor("out_21")]; tensor input_145 = add(x = out_21, y = input_135)[name = tensor("input_145")]; tensor input_147 = relu(x = input_145)[name = tensor("input_147")]; tensor input_149_pad_type_0 = const()[name = tensor("input_149_pad_type_0"), val = tensor("custom")]; @@ -361,18 +361,18 @@ program(1.0) tensor input_149_strides_0 = const()[name = tensor("input_149_strides_0"), val = tensor([1, 1])]; tensor input_149_dilations_0 = const()[name = tensor("input_149_dilations_0"), val = tensor([1, 1])]; tensor input_149_groups_0 = const()[name = tensor("input_149_groups_0"), val = tensor(1)]; - tensor const_55 = const()[name = tensor("const_55"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12825984)))]; - tensor const_56 = const()[name = tensor("const_56"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13415872)))]; - tensor input_151 = conv(bias = const_56, dilations = input_149_dilations_0, groups = input_149_groups_0, pad = input_149_pad_0, pad_type = input_149_pad_type_0, strides = input_149_strides_0, weight = const_55, x = input_147)[name = tensor("input_151")]; + tensor const_55_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_55_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3237056))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3384576))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_56 = const()[name = tensor("const_56"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3385152)))]; + tensor input_151 = conv(bias = const_56, dilations = input_149_dilations_0, groups = input_149_groups_0, pad = input_149_pad_0, pad_type = input_149_pad_type_0, strides = input_149_strides_0, weight = const_55_quantized, x = input_147)[name = tensor("input_151")]; tensor input_153 = relu(x = input_151)[name = tensor("input_153")]; tensor input_155_pad_type_0 = const()[name = tensor("input_155_pad_type_0"), val = tensor("custom")]; tensor input_155_pad_0 = const()[name = tensor("input_155_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_155_strides_0 = const()[name = tensor("input_155_strides_0"), val = tensor([1, 1])]; tensor input_155_dilations_0 = const()[name = tensor("input_155_dilations_0"), val = tensor([1, 1])]; tensor input_155_groups_0 = const()[name = tensor("input_155_groups_0"), val = tensor(1)]; - tensor const_57 = const()[name = tensor("const_57"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13416448)))]; - tensor const_58 = const()[name = tensor("const_58"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14006336)))]; - tensor out_23 = conv(bias = const_58, dilations = input_155_dilations_0, groups = input_155_groups_0, pad = input_155_pad_0, pad_type = input_155_pad_type_0, strides = input_155_strides_0, weight = const_57, x = input_153)[name = tensor("out_23")]; + tensor const_57_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_57_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3385728))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3533248))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_58 = const()[name = tensor("const_58"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3533824)))]; + tensor out_23 = conv(bias = const_58, dilations = input_155_dilations_0, groups = input_155_groups_0, pad = input_155_pad_0, pad_type = input_155_pad_type_0, strides = input_155_strides_0, weight = const_57_quantized, x = input_153)[name = tensor("out_23")]; tensor input_157 = add(x = out_23, y = input_147)[name = tensor("input_157")]; tensor input_159 = relu(x = input_157)[name = tensor("input_159")]; tensor input_161_pad_type_0 = const()[name = tensor("input_161_pad_type_0"), val = tensor("custom")]; @@ -380,18 +380,18 @@ program(1.0) tensor input_161_strides_0 = const()[name = tensor("input_161_strides_0"), val = tensor([1, 1])]; tensor input_161_dilations_0 = const()[name = tensor("input_161_dilations_0"), val = tensor([1, 1])]; tensor input_161_groups_0 = const()[name = tensor("input_161_groups_0"), val = tensor(1)]; - tensor const_59 = const()[name = tensor("const_59"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14006912)))]; - tensor const_60 = const()[name = tensor("const_60"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14596800)))]; - tensor input_163 = conv(bias = const_60, dilations = input_161_dilations_0, groups = input_161_groups_0, pad = input_161_pad_0, pad_type = input_161_pad_type_0, strides = input_161_strides_0, weight = const_59, x = input_159)[name = tensor("input_163")]; + tensor const_59_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_59_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3534400))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3681920))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_60 = const()[name = tensor("const_60"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3682496)))]; + tensor input_163 = conv(bias = const_60, dilations = input_161_dilations_0, groups = input_161_groups_0, pad = input_161_pad_0, pad_type = input_161_pad_type_0, strides = input_161_strides_0, weight = const_59_quantized, x = input_159)[name = tensor("input_163")]; tensor input_165 = relu(x = input_163)[name = tensor("input_165")]; tensor input_167_pad_type_0 = const()[name = tensor("input_167_pad_type_0"), val = tensor("custom")]; tensor input_167_pad_0 = const()[name = tensor("input_167_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_167_strides_0 = const()[name = tensor("input_167_strides_0"), val = tensor([1, 1])]; tensor input_167_dilations_0 = const()[name = tensor("input_167_dilations_0"), val = tensor([1, 1])]; tensor input_167_groups_0 = const()[name = tensor("input_167_groups_0"), val = tensor(1)]; - tensor const_61 = const()[name = tensor("const_61"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14597376)))]; - tensor const_62 = const()[name = tensor("const_62"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15187264)))]; - tensor out_25 = conv(bias = const_62, dilations = input_167_dilations_0, groups = input_167_groups_0, pad = input_167_pad_0, pad_type = input_167_pad_type_0, strides = input_167_strides_0, weight = const_61, x = input_165)[name = tensor("out_25")]; + tensor const_61_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_61_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3683072))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3830592))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2185600)))]; + tensor const_62 = const()[name = tensor("const_62"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3831168)))]; + tensor out_25 = conv(bias = const_62, dilations = input_167_dilations_0, groups = input_167_groups_0, pad = input_167_pad_0, pad_type = input_167_pad_type_0, strides = input_167_strides_0, weight = const_61_quantized, x = input_165)[name = tensor("out_25")]; tensor input_169 = add(x = out_25, y = input_159)[name = tensor("input_169")]; tensor input_171 = relu(x = input_169)[name = tensor("input_171")]; tensor input_173_pad_type_0 = const()[name = tensor("input_173_pad_type_0"), val = tensor("custom")]; @@ -399,26 +399,26 @@ program(1.0) tensor input_173_strides_0 = const()[name = tensor("input_173_strides_0"), val = tensor([2, 2])]; tensor input_173_dilations_0 = const()[name = tensor("input_173_dilations_0"), val = tensor([1, 1])]; tensor input_173_groups_0 = const()[name = tensor("input_173_groups_0"), val = tensor(1)]; - tensor const_63 = const()[name = tensor("const_63"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15187840)))]; - tensor const_64 = const()[name = tensor("const_64"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16367552)))]; - tensor input_175 = conv(bias = const_64, dilations = input_173_dilations_0, groups = input_173_groups_0, pad = input_173_pad_0, pad_type = input_173_pad_type_0, strides = input_173_strides_0, weight = const_63, x = input_171)[name = tensor("input_175")]; + tensor const_63_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_63_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3831744))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4126720))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_64 = const()[name = tensor("const_64"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4127808)))]; + tensor input_175 = conv(bias = const_64, dilations = input_173_dilations_0, groups = input_173_groups_0, pad = input_173_pad_0, pad_type = input_173_pad_type_0, strides = input_173_strides_0, weight = const_63_quantized, x = input_171)[name = tensor("input_175")]; tensor input_177 = relu(x = input_175)[name = tensor("input_177")]; tensor input_179_pad_type_0 = const()[name = tensor("input_179_pad_type_0"), val = tensor("custom")]; tensor input_179_pad_0 = const()[name = tensor("input_179_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_179_strides_0 = const()[name = tensor("input_179_strides_0"), val = tensor([1, 1])]; tensor input_179_dilations_0 = const()[name = tensor("input_179_dilations_0"), val = tensor([1, 1])]; tensor input_179_groups_0 = const()[name = tensor("input_179_groups_0"), val = tensor(1)]; - tensor const_65 = const()[name = tensor("const_65"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16368640)))]; - tensor const_66 = const()[name = tensor("const_66"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18728000)))]; - tensor out_27 = conv(bias = const_66, dilations = input_179_dilations_0, groups = input_179_groups_0, pad = input_179_pad_0, pad_type = input_179_pad_type_0, strides = input_179_strides_0, weight = const_65, x = input_177)[name = tensor("out_27")]; + tensor const_65_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_65_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4128896))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4718784))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_66 = const()[name = tensor("const_66"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4719872)))]; + tensor out_27 = conv(bias = const_66, dilations = input_179_dilations_0, groups = input_179_groups_0, pad = input_179_pad_0, pad_type = input_179_pad_type_0, strides = input_179_strides_0, weight = const_65_quantized, x = input_177)[name = tensor("out_27")]; tensor input_181_pad_type_0 = const()[name = tensor("input_181_pad_type_0"), val = tensor("valid")]; tensor input_181_strides_0 = const()[name = tensor("input_181_strides_0"), val = tensor([2, 2])]; tensor input_181_pad_0 = const()[name = tensor("input_181_pad_0"), val = tensor([0, 0, 0, 0])]; tensor input_181_dilations_0 = const()[name = tensor("input_181_dilations_0"), val = tensor([1, 1])]; tensor input_181_groups_0 = const()[name = tensor("input_181_groups_0"), val = tensor(1)]; - tensor const_67 = const()[name = tensor("const_67"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18729088)))]; - tensor const_68 = const()[name = tensor("const_68"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18860224)))]; - tensor var_666 = conv(bias = const_68, dilations = input_181_dilations_0, groups = input_181_groups_0, pad = input_181_pad_0, pad_type = input_181_pad_type_0, strides = input_181_strides_0, weight = const_67, x = input_171)[name = tensor("op_666")]; + tensor const_67_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_67_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4720960))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4753792))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_68 = const()[name = tensor("const_68"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4754880)))]; + tensor var_666 = conv(bias = const_68, dilations = input_181_dilations_0, groups = input_181_groups_0, pad = input_181_pad_0, pad_type = input_181_pad_type_0, strides = input_181_strides_0, weight = const_67_quantized, x = input_171)[name = tensor("op_666")]; tensor input_183 = add(x = out_27, y = var_666)[name = tensor("input_183")]; tensor input_185 = relu(x = input_183)[name = tensor("input_185")]; tensor input_187_pad_type_0 = const()[name = tensor("input_187_pad_type_0"), val = tensor("custom")]; @@ -426,18 +426,18 @@ program(1.0) tensor input_187_strides_0 = const()[name = tensor("input_187_strides_0"), val = tensor([1, 1])]; tensor input_187_dilations_0 = const()[name = tensor("input_187_dilations_0"), val = tensor([1, 1])]; tensor input_187_groups_0 = const()[name = tensor("input_187_groups_0"), val = tensor(1)]; - tensor const_69 = const()[name = tensor("const_69"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18861312)))]; - tensor const_70 = const()[name = tensor("const_70"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21220672)))]; - tensor input_189 = conv(bias = const_70, dilations = input_187_dilations_0, groups = input_187_groups_0, pad = input_187_pad_0, pad_type = input_187_pad_type_0, strides = input_187_strides_0, weight = const_69, x = input_185)[name = tensor("input_189")]; + tensor const_69_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_69_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4755968))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5345856))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_70 = const()[name = tensor("const_70"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5346944)))]; + tensor input_189 = conv(bias = const_70, dilations = input_187_dilations_0, groups = input_187_groups_0, pad = input_187_pad_0, pad_type = input_187_pad_type_0, strides = input_187_strides_0, weight = const_69_quantized, x = input_185)[name = tensor("input_189")]; tensor input_191 = relu(x = input_189)[name = tensor("input_191")]; tensor input_193_pad_type_0 = const()[name = tensor("input_193_pad_type_0"), val = tensor("custom")]; tensor input_193_pad_0 = const()[name = tensor("input_193_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_193_strides_0 = const()[name = tensor("input_193_strides_0"), val = tensor([1, 1])]; tensor input_193_dilations_0 = const()[name = tensor("input_193_dilations_0"), val = tensor([1, 1])]; tensor input_193_groups_0 = const()[name = tensor("input_193_groups_0"), val = tensor(1)]; - tensor const_71 = const()[name = tensor("const_71"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21221760)))]; - tensor const_72 = const()[name = tensor("const_72"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23581120)))]; - tensor out_29 = conv(bias = const_72, dilations = input_193_dilations_0, groups = input_193_groups_0, pad = input_193_pad_0, pad_type = input_193_pad_type_0, strides = input_193_strides_0, weight = const_71, x = input_191)[name = tensor("out_29")]; + tensor const_71_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_71_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5348032))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5937920))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_72 = const()[name = tensor("const_72"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5939008)))]; + tensor out_29 = conv(bias = const_72, dilations = input_193_dilations_0, groups = input_193_groups_0, pad = input_193_pad_0, pad_type = input_193_pad_type_0, strides = input_193_strides_0, weight = const_71_quantized, x = input_191)[name = tensor("out_29")]; tensor input_195 = add(x = out_29, y = input_185)[name = tensor("input_195")]; tensor input_197 = relu(x = input_195)[name = tensor("input_197")]; tensor input_199_pad_type_0 = const()[name = tensor("input_199_pad_type_0"), val = tensor("custom")]; @@ -445,18 +445,18 @@ program(1.0) tensor input_199_strides_0 = const()[name = tensor("input_199_strides_0"), val = tensor([1, 1])]; tensor input_199_dilations_0 = const()[name = tensor("input_199_dilations_0"), val = tensor([1, 1])]; tensor input_199_groups_0 = const()[name = tensor("input_199_groups_0"), val = tensor(1)]; - tensor const_73 = const()[name = tensor("const_73"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23582208)))]; - tensor const_74 = const()[name = tensor("const_74"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25941568)))]; - tensor input_201 = conv(bias = const_74, dilations = input_199_dilations_0, groups = input_199_groups_0, pad = input_199_pad_0, pad_type = input_199_pad_type_0, strides = input_199_strides_0, weight = const_73, x = input_197)[name = tensor("input_201")]; + tensor const_73_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_73_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5940096))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6529984))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_74 = const()[name = tensor("const_74"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6531072)))]; + tensor input_201 = conv(bias = const_74, dilations = input_199_dilations_0, groups = input_199_groups_0, pad = input_199_pad_0, pad_type = input_199_pad_type_0, strides = input_199_strides_0, weight = const_73_quantized, x = input_197)[name = tensor("input_201")]; tensor input_203 = relu(x = input_201)[name = tensor("input_203")]; tensor input_205_pad_type_0 = const()[name = tensor("input_205_pad_type_0"), val = tensor("custom")]; tensor input_205_pad_0 = const()[name = tensor("input_205_pad_0"), val = tensor([1, 1, 1, 1])]; tensor input_205_strides_0 = const()[name = tensor("input_205_strides_0"), val = tensor([1, 1])]; tensor input_205_dilations_0 = const()[name = tensor("input_205_dilations_0"), val = tensor([1, 1])]; tensor input_205_groups_0 = const()[name = tensor("input_205_groups_0"), val = tensor(1)]; - tensor const_75 = const()[name = tensor("const_75"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25942656)))]; - tensor const_76 = const()[name = tensor("const_76"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28302016)))]; - tensor out = conv(bias = const_76, dilations = input_205_dilations_0, groups = input_205_groups_0, pad = input_205_pad_0, pad_type = input_205_pad_type_0, strides = input_205_strides_0, weight = const_75, x = input_203)[name = tensor("out")]; + tensor const_75_quantized = constexpr_affine_dequantize()[axis = tensor(0), name = tensor("const_75_quantized"), quantized_data = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6532160))), scale = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7122048))), zero_point = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1764224)))]; + tensor const_76 = const()[name = tensor("const_76"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7123136)))]; + tensor out = conv(bias = const_76, dilations = input_205_dilations_0, groups = input_205_groups_0, pad = input_205_pad_0, pad_type = input_205_pad_type_0, strides = input_205_strides_0, weight = const_75_quantized, x = input_203)[name = tensor("out")]; tensor input_207 = add(x = out, y = input_197)[name = tensor("input_207")]; tensor features = relu(x = input_207)[name = tensor("features")]; tensor concat_4x = const()[name = tensor("concat_4x"), val = tensor([-1, 2560, 125])]; @@ -510,7 +510,7 @@ program(1.0) tensor var_776_pad_0 = const()[name = tensor("op_776_pad_0"), val = tensor([0, 0, 0, 0])]; tensor var_776_dilations_0 = const()[name = tensor("op_776_dilations_0"), val = tensor([1, 1])]; tensor var_776_groups_0 = const()[name = tensor("op_776_groups_0"), val = tensor(1)]; - tensor var_776 = conv(bias = resnet_seg_1_bias, dilations = var_776_dilations_0, groups = var_776_groups_0, pad = var_776_pad_0, pad_type = var_776_pad_type_0, strides = var_776_strides_0, weight = resnet_seg_1_weight, x = input_209)[name = tensor("op_776")]; + tensor var_776 = conv(bias = resnet_seg_1_bias, dilations = var_776_dilations_0, groups = var_776_groups_0, pad = var_776_pad_0, pad_type = var_776_pad_type_0, strides = var_776_strides_0, weight = resnet_seg_1_weight_quantized, x = input_209)[name = tensor("op_776")]; tensor concat_5x = const()[name = tensor("concat_5x"), val = tensor([-1, 256])]; tensor input = reshape(shape = concat_5x, x = var_776)[name = tensor("input")]; tensor var_780 = const()[name = tensor("op_780"), val = tensor([-1])];