diff --git "a/Embedding.mlmodelc/model.mil" "b/Embedding.mlmodelc/model.mil" --- "a/Embedding.mlmodelc/model.mil" +++ "b/Embedding.mlmodelc/model.mil" @@ -1,460 +1,480 @@ 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"}})] { - func main(tensor audio, tensor weights) { - tensor _fbank_window = const()[name = tensor("_fbank_window"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; + func main(tensor audio, tensor weights) { + 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 _interp_right_idx = const()[name = tensor("_interp_right_idx"), 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 _interp_left_idx = const()[name = tensor("_interp_left_idx"), 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 _fbank_window = const()[name = tensor("_fbank_window"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1216)))]; 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(1728)))]; - tensor resnet_seg_1_bias = const()[name = tensor("resnet_seg_1_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(641792)))]; - tensor resnet_seg_1_weight = const()[name = tensor("resnet_seg_1_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(642880)))]; - tensor var_5_promoted = const()[name = tensor("op_5_promoted"), val = tensor(0x1p+15)]; - tensor waveforms_3 = mul(x = audio, y = var_5_promoted)[name = tensor("waveforms_3")]; + tensor _fbank_frame_kernel = const()[name = tensor("_fbank_frame_kernel"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2880)))]; + tensor resnet_seg_1_bias = const()[name = tensor("resnet_seg_1_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(642944)))]; + tensor resnet_seg_1_weight = const()[name = tensor("resnet_seg_1_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(644032)))]; + tensor var_9_promoted = const()[name = tensor("op_9_promoted"), val = tensor(0x1p+15)]; + tensor waveforms_3 = mul(x = audio, y = var_9_promoted)[name = tensor("waveforms_3")]; tensor frames_1_pad_type_0 = const()[name = tensor("frames_1_pad_type_0"), val = tensor("valid")]; tensor frames_1_strides_0 = const()[name = tensor("frames_1_strides_0"), val = tensor([160])]; 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 var_45_axes_0 = const()[name = tensor("op_45_axes_0"), val = tensor([0])]; - tensor var_45 = squeeze(axes = var_45_axes_0, x = frames_1)[name = tensor("op_45")]; + 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 var_49_axes_0 = const()[name = tensor("op_49_axes_0"), val = tensor([0])]; + tensor var_49 = squeeze(axes = var_49_axes_0, x = frames_1)[name = tensor("op_49")]; tensor frames_3_perm_0 = const()[name = tensor("frames_3_perm_0"), val = tensor([1, 0])]; - tensor var_48_axes_0 = const()[name = tensor("op_48_axes_0"), val = tensor([1])]; - tensor var_48_keep_dims_0 = const()[name = tensor("op_48_keep_dims_0"), val = tensor(true)]; - tensor frames_3 = transpose(perm = frames_3_perm_0, x = var_45)[name = tensor("transpose_4")]; - tensor var_48 = reduce_mean(axes = var_48_axes_0, keep_dims = var_48_keep_dims_0, x = frames_3)[name = tensor("op_48")]; - tensor frames_5 = sub(x = frames_3, y = var_48)[name = tensor("frames_5")]; + tensor var_52_axes_0 = const()[name = tensor("op_52_axes_0"), val = tensor([1])]; + tensor var_52_keep_dims_0 = const()[name = tensor("op_52_keep_dims_0"), val = tensor(true)]; + tensor frames_3 = transpose(perm = frames_3_perm_0, x = var_49)[name = tensor("transpose_4")]; + tensor var_52 = reduce_mean(axes = var_52_axes_0, keep_dims = var_52_keep_dims_0, x = frames_3)[name = tensor("op_52")]; + tensor frames_5 = sub(x = frames_3, y = var_52)[name = tensor("frames_5")]; tensor input_1_axes_0 = const()[name = tensor("input_1_axes_0"), val = tensor([1])]; - tensor input_1 = expand_dims(axes = input_1_axes_0, x = frames_5)[name = tensor("input_1")]; + tensor input_1 = expand_dims(axes = input_1_axes_0, x = frames_5)[name = tensor("input_1")]; tensor const_0 = const()[name = tensor("const_0"), val = tensor(0x0p+0)]; - tensor var_52_pad_0 = const()[name = tensor("op_52_pad_0"), val = tensor([0, 0, 0, 0, 1, 0])]; - tensor var_52_mode_0 = const()[name = tensor("op_52_mode_0"), val = tensor("replicate")]; - tensor var_52 = pad(constant_val = const_0, mode = var_52_mode_0, pad = var_52_pad_0, x = input_1)[name = tensor("op_52")]; + tensor var_56_pad_0 = const()[name = tensor("op_56_pad_0"), val = tensor([0, 0, 0, 0, 1, 0])]; + tensor var_56_mode_0 = const()[name = tensor("op_56_mode_0"), val = tensor("replicate")]; + tensor var_56 = pad(constant_val = const_0, mode = var_56_mode_0, pad = var_56_pad_0, x = input_1)[name = tensor("op_56")]; tensor padded_axes_0 = const()[name = tensor("padded_axes_0"), val = tensor([1])]; - tensor padded = squeeze(axes = padded_axes_0, x = var_52)[name = tensor("padded")]; - tensor var_55_begin_0 = const()[name = tensor("op_55_begin_0"), val = tensor([0, 0])]; - tensor var_55_end_0 = const()[name = tensor("op_55_end_0"), val = tensor([498, 400])]; - tensor var_55_end_mask_0 = const()[name = tensor("op_55_end_mask_0"), val = tensor([true, false])]; - tensor var_55 = slice_by_index(begin = var_55_begin_0, end = var_55_end_0, end_mask = var_55_end_mask_0, x = padded)[name = tensor("op_55")]; - tensor var_56 = const()[name = tensor("op_56"), val = tensor(0x1.f0a3d8p-1)]; - tensor var_57 = mul(x = var_55, y = var_56)[name = tensor("op_57")]; - tensor frames_7 = sub(x = frames_5, y = var_57)[name = tensor("frames_7")]; - tensor frames_9 = mul(x = frames_7, y = _fbank_window)[name = tensor("frames_9")]; + tensor padded = squeeze(axes = padded_axes_0, x = var_56)[name = tensor("padded")]; + tensor var_59_begin_0 = const()[name = tensor("op_59_begin_0"), val = tensor([0, 0])]; + tensor var_59_end_0 = const()[name = tensor("op_59_end_0"), val = tensor([998, 400])]; + tensor var_59_end_mask_0 = const()[name = tensor("op_59_end_mask_0"), val = tensor([true, false])]; + tensor var_59 = slice_by_index(begin = var_59_begin_0, end = var_59_end_0, end_mask = var_59_end_mask_0, x = padded)[name = tensor("op_59")]; + tensor var_60 = const()[name = tensor("op_60"), val = tensor(0x1.f0a3d8p-1)]; + tensor var_61 = mul(x = var_59, y = var_60)[name = tensor("op_61")]; + tensor frames_7 = sub(x = frames_5, y = var_61)[name = tensor("frames_7")]; + tensor frames_9 = mul(x = frames_7, y = _fbank_window)[name = tensor("frames_9")]; tensor input_3_axes_0 = const()[name = tensor("input_3_axes_0"), val = tensor([1])]; - tensor input_3 = expand_dims(axes = input_3_axes_0, x = frames_9)[name = tensor("input_3")]; + tensor input_3 = expand_dims(axes = input_3_axes_0, x = frames_9)[name = tensor("input_3")]; tensor const_1 = const()[name = tensor("const_1"), val = tensor(0x0p+0)]; - tensor var_62_pad_0 = const()[name = tensor("op_62_pad_0"), val = tensor([0, 0, 0, 0, 0, 112])]; - tensor var_62_mode_0 = const()[name = tensor("op_62_mode_0"), val = tensor("constant")]; - tensor var_62 = pad(constant_val = const_1, mode = var_62_mode_0, pad = var_62_pad_0, x = input_3)[name = tensor("op_62")]; + tensor var_66_pad_0 = const()[name = tensor("op_66_pad_0"), val = tensor([0, 0, 0, 0, 0, 112])]; + tensor var_66_mode_0 = const()[name = tensor("op_66_mode_0"), val = tensor("constant")]; + tensor var_66 = pad(constant_val = const_1, mode = var_66_mode_0, pad = var_66_pad_0, x = input_3)[name = tensor("op_66")]; tensor frames_11_axes_0 = const()[name = tensor("frames_11_axes_0"), val = tensor([1])]; - tensor frames_11 = squeeze(axes = frames_11_axes_0, x = var_62)[name = tensor("frames_11")]; - tensor transpose_0 = const()[name = tensor("transpose_0"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5885824)))]; - tensor real_bias_0 = const()[name = tensor("real_bias_0"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6412224)))]; - tensor real = linear(bias = real_bias_0, weight = transpose_0, x = frames_11)[name = tensor("real")]; - tensor transpose_1 = const()[name = tensor("transpose_1"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6413376)))]; - tensor imag = linear(bias = real_bias_0, weight = transpose_1, x = frames_11)[name = tensor("imag")]; - tensor var_18_promoted = const()[name = tensor("op_18_promoted"), val = tensor(0x1p+1)]; - tensor var_66 = pow(x = real, y = var_18_promoted)[name = tensor("op_66")]; - tensor var_18_promoted_1 = const()[name = tensor("op_18_promoted_1"), val = tensor(0x1p+1)]; - tensor var_67 = pow(x = imag, y = var_18_promoted_1)[name = tensor("op_67")]; - tensor power = add(x = var_66, y = var_67)[name = tensor("power")]; - tensor transpose_2 = const()[name = tensor("transpose_2"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6939776)))]; - tensor mel_bias_0 = const()[name = tensor("mel_bias_0"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7022080)))]; - tensor mel = linear(bias = mel_bias_0, weight = transpose_2, x = power)[name = tensor("mel")]; + tensor frames_11 = squeeze(axes = frames_11_axes_0, x = var_66)[name = tensor("frames_11")]; + tensor transpose_0 = const()[name = tensor("transpose_0"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5886976)))]; + tensor real_bias_0 = const()[name = tensor("real_bias_0"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6413376)))]; + tensor real = linear(bias = real_bias_0, weight = transpose_0, x = frames_11)[name = tensor("real")]; + tensor transpose_1 = const()[name = tensor("transpose_1"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6414528)))]; + tensor imag = linear(bias = real_bias_0, weight = transpose_1, x = frames_11)[name = tensor("imag")]; + tensor var_22_promoted = const()[name = tensor("op_22_promoted"), val = tensor(0x1p+1)]; + tensor var_70 = pow(x = real, y = var_22_promoted)[name = tensor("op_70")]; + tensor var_22_promoted_1 = const()[name = tensor("op_22_promoted_1"), val = tensor(0x1p+1)]; + tensor var_71 = pow(x = imag, y = var_22_promoted_1)[name = tensor("op_71")]; + tensor power = add(x = var_70, y = var_71)[name = tensor("power")]; + tensor transpose_2 = const()[name = tensor("transpose_2"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6940928)))]; + tensor mel_bias_0 = const()[name = tensor("mel_bias_0"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7023232)))]; + tensor mel = linear(bias = mel_bias_0, weight = transpose_2, x = power)[name = tensor("mel")]; tensor const_2 = const()[name = tensor("const_2"), val = tensor(0x1.fffffep+127)]; - tensor clip_0 = clip(alpha = _fbank_eps, beta = const_2, x = mel)[name = tensor("clip_0")]; - tensor var_71_epsilon_0 = const()[name = tensor("op_71_epsilon_0"), val = tensor(0x1p-149)]; - tensor var_71 = log(epsilon = var_71_epsilon_0, x = clip_0)[name = tensor("op_71")]; - tensor var_74_axes_0 = const()[name = tensor("op_74_axes_0"), val = tensor([0])]; - tensor var_74 = expand_dims(axes = var_74_axes_0, x = var_71)[name = tensor("op_74")]; + tensor clip_0 = clip(alpha = _fbank_eps, beta = const_2, x = mel)[name = tensor("clip_0")]; + tensor var_75_epsilon_0 = const()[name = tensor("op_75_epsilon_0"), val = tensor(0x1p-149)]; + tensor var_75 = log(epsilon = var_75_epsilon_0, x = clip_0)[name = tensor("op_75")]; + tensor var_78_axes_0 = const()[name = tensor("op_78_axes_0"), val = tensor([0])]; + tensor var_78 = expand_dims(axes = var_78_axes_0, x = var_75)[name = tensor("op_78")]; tensor centered_axes_0 = const()[name = tensor("centered_axes_0"), val = tensor([1])]; tensor centered_keep_dims_0 = const()[name = tensor("centered_keep_dims_0"), val = tensor(true)]; - tensor centered = reduce_mean(axes = centered_axes_0, keep_dims = centered_keep_dims_0, x = var_74)[name = tensor("centered")]; - tensor fbank_1 = sub(x = var_74, y = centered)[name = tensor("fbank_1")]; - tensor var_91 = const()[name = tensor("op_91"), val = tensor(-1)]; - tensor var_92 = const()[name = tensor("op_92"), val = tensor(0x1.197998p-40)]; - tensor var_108 = const()[name = tensor("op_108"), val = tensor([0, 2, 1])]; + tensor centered = reduce_mean(axes = centered_axes_0, keep_dims = centered_keep_dims_0, x = var_78)[name = tensor("centered")]; + tensor fbank_1 = sub(x = var_78, y = centered)[name = tensor("fbank_1")]; + tensor var_107 = const()[name = tensor("op_107"), val = tensor(1)]; + tensor left_validate_indices_0 = const()[name = tensor("left_validate_indices_0"), val = tensor(false)]; + tensor left = gather_along_axis(axis = var_107, indices = _interp_left_idx, validate_indices = left_validate_indices_0, x = weights)[name = tensor("left")]; + tensor var_110 = const()[name = tensor("op_110"), val = tensor(1)]; + tensor right_validate_indices_0 = const()[name = tensor("right_validate_indices_0"), val = tensor(false)]; + tensor right = gather_along_axis(axis = var_110, indices = _interp_right_idx, validate_indices = right_validate_indices_0, x = weights)[name = tensor("right")]; + tensor var_113 = mul(x = left, y = _interp_left_weight)[name = tensor("op_113")]; + tensor var_114 = mul(x = right, y = _interp_right_weight)[name = tensor("op_114")]; + tensor weights_3 = add(x = var_113, y = var_114)[name = tensor("weights_3")]; + tensor var_118 = const()[name = tensor("op_118"), val = tensor(-1)]; + tensor var_119 = const()[name = tensor("op_119"), val = tensor(0x1.197998p-40)]; + tensor var_135 = const()[name = tensor("op_135"), val = tensor([0, 2, 1])]; tensor input_5_axes_0 = const()[name = tensor("input_5_axes_0"), val = tensor([1])]; - tensor fbank = transpose(perm = var_108, x = fbank_1)[name = tensor("transpose_3")]; - tensor input_5 = expand_dims(axes = input_5_axes_0, x = fbank)[name = tensor("input_5")]; + tensor fbank = transpose(perm = var_135, x = fbank_1)[name = tensor("transpose_3")]; + tensor input_5 = expand_dims(axes = input_5_axes_0, x = fbank)[name = tensor("input_5")]; tensor input_7_pad_type_0 = const()[name = tensor("input_7_pad_type_0"), val = tensor("custom")]; tensor input_7_pad_0 = const()[name = tensor("input_7_pad_0"), val = tensor([1, 1, 1, 1])]; 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_8 = const()[name = tensor("const_8"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7022464)))]; - tensor const_9 = const()[name = tensor("const_9"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7023680)))]; - tensor input_9 = conv(bias = const_9, 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_8, x = input_5)[name = tensor("input_9")]; - tensor input_11 = relu(x = input_9)[name = tensor("input_11")]; + tensor const_10 = const()[name = tensor("const_10"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7023616)))]; + tensor const_11 = const()[name = tensor("const_11"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7024832)))]; + tensor input_9 = conv(bias = const_11, 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_10, 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")]; tensor input_13_pad_0 = const()[name = tensor("input_13_pad_0"), val = tensor([1, 1, 1, 1])]; 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_10 = const()[name = tensor("const_10"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7023872)))]; - tensor const_11 = const()[name = tensor("const_11"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7060800)))]; - tensor input_15 = conv(bias = const_11, 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_10, x = input_11)[name = tensor("input_15")]; - tensor input_17 = relu(x = input_15)[name = tensor("input_17")]; + tensor const_12 = const()[name = tensor("const_12"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7025024)))]; + tensor const_13 = const()[name = tensor("const_13"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7061952)))]; + tensor input_15 = conv(bias = const_13, 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_12, 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_12 = const()[name = tensor("const_12"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7060992)))]; - tensor const_13 = const()[name = tensor("const_13"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7097920)))]; - tensor out_1 = conv(bias = const_13, 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_12, 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 const_14 = const()[name = tensor("const_14"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7062144)))]; + tensor const_15 = const()[name = tensor("const_15"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7099072)))]; + tensor out_1 = conv(bias = const_15, 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_14, 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")]; tensor input_25_pad_0 = const()[name = tensor("input_25_pad_0"), val = tensor([1, 1, 1, 1])]; 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_14 = const()[name = tensor("const_14"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7098112)))]; - tensor const_15 = const()[name = tensor("const_15"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7135040)))]; - tensor input_27 = conv(bias = const_15, 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_14, x = input_23)[name = tensor("input_27")]; - tensor input_29 = relu(x = input_27)[name = tensor("input_29")]; + tensor const_16 = const()[name = tensor("const_16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7099264)))]; + tensor const_17 = const()[name = tensor("const_17"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7136192)))]; + tensor input_27 = conv(bias = const_17, 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_16, 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_16 = const()[name = tensor("const_16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7135232)))]; - tensor const_17 = const()[name = tensor("const_17"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7172160)))]; - tensor out_3 = conv(bias = const_17, 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_16, 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 const_18 = const()[name = tensor("const_18"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7136384)))]; + tensor const_19 = const()[name = tensor("const_19"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7173312)))]; + tensor out_3 = conv(bias = const_19, 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_18, 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")]; tensor input_37_pad_0 = const()[name = tensor("input_37_pad_0"), val = tensor([1, 1, 1, 1])]; 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_18 = const()[name = tensor("const_18"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7172352)))]; - tensor const_19 = const()[name = tensor("const_19"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7209280)))]; - tensor input_39 = conv(bias = const_19, 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_18, x = input_35)[name = tensor("input_39")]; - tensor input_41 = relu(x = input_39)[name = tensor("input_41")]; + tensor const_20 = const()[name = tensor("const_20"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7173504)))]; + tensor const_21 = const()[name = tensor("const_21"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7210432)))]; + tensor input_39 = conv(bias = const_21, 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_20, 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_20 = const()[name = tensor("const_20"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7209472)))]; - tensor const_21 = const()[name = tensor("const_21"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7246400)))]; - tensor out_5 = conv(bias = const_21, 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_20, 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 const_22 = const()[name = tensor("const_22"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7210624)))]; + tensor const_23 = const()[name = tensor("const_23"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7247552)))]; + tensor out_5 = conv(bias = const_23, 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_22, 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")]; tensor input_49_pad_0 = const()[name = tensor("input_49_pad_0"), val = tensor([1, 1, 1, 1])]; 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_22 = const()[name = tensor("const_22"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7246592)))]; - tensor const_23 = const()[name = tensor("const_23"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7320384)))]; - tensor input_51 = conv(bias = const_23, 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_22, x = input_47)[name = tensor("input_51")]; - tensor input_53 = relu(x = input_51)[name = tensor("input_53")]; + tensor const_24 = const()[name = tensor("const_24"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7247744)))]; + tensor const_25 = const()[name = tensor("const_25"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7321536)))]; + tensor input_51 = conv(bias = const_25, 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_24, 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_24 = const()[name = tensor("const_24"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7320704)))]; - tensor const_25 = const()[name = tensor("const_25"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7468224)))]; - tensor out_7 = conv(bias = const_25, 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_24, x = input_53)[name = tensor("out_7")]; + tensor const_26 = const()[name = tensor("const_26"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7321856)))]; + tensor const_27 = const()[name = tensor("const_27"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7469376)))]; + tensor out_7 = conv(bias = const_27, 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_26, 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_26 = const()[name = tensor("const_26"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7468544)))]; - tensor const_27 = const()[name = tensor("const_27"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7476800)))]; - tensor var_257 = conv(bias = const_27, 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_26, x = input_47)[name = tensor("op_257")]; - tensor input_59 = add(x = out_7, y = var_257)[name = tensor("input_59")]; - tensor input_61 = relu(x = input_59)[name = tensor("input_61")]; + tensor const_28 = const()[name = tensor("const_28"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7469696)))]; + tensor const_29 = const()[name = tensor("const_29"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7477952)))]; + tensor var_284 = conv(bias = const_29, 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_28, x = input_47)[name = tensor("op_284")]; + tensor input_59 = add(x = out_7, y = var_284)[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")]; tensor input_63_pad_0 = const()[name = tensor("input_63_pad_0"), val = tensor([1, 1, 1, 1])]; 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_28 = const()[name = tensor("const_28"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7477120)))]; - tensor const_29 = const()[name = tensor("const_29"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7624640)))]; - tensor input_65 = conv(bias = const_29, 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_28, x = input_61)[name = tensor("input_65")]; - tensor input_67 = relu(x = input_65)[name = tensor("input_67")]; + tensor const_30 = const()[name = tensor("const_30"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7478272)))]; + tensor const_31 = const()[name = tensor("const_31"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7625792)))]; + tensor input_65 = conv(bias = const_31, 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_30, 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_30 = const()[name = tensor("const_30"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7624960)))]; - tensor const_31 = const()[name = tensor("const_31"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7772480)))]; - tensor out_9 = conv(bias = const_31, 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_30, 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 const_32 = const()[name = tensor("const_32"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7626112)))]; + tensor const_33 = const()[name = tensor("const_33"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7773632)))]; + tensor out_9 = conv(bias = const_33, 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_32, 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")]; tensor input_75_pad_0 = const()[name = tensor("input_75_pad_0"), val = tensor([1, 1, 1, 1])]; 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_32 = const()[name = tensor("const_32"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7772800)))]; - tensor const_33 = const()[name = tensor("const_33"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7920320)))]; - tensor input_77 = conv(bias = const_33, 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_32, x = input_73)[name = tensor("input_77")]; - tensor input_79 = relu(x = input_77)[name = tensor("input_79")]; + tensor const_34 = const()[name = tensor("const_34"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7773952)))]; + tensor const_35 = const()[name = tensor("const_35"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7921472)))]; + tensor input_77 = conv(bias = const_35, 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_34, 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_34 = const()[name = tensor("const_34"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7920640)))]; - tensor const_35 = const()[name = tensor("const_35"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8068160)))]; - tensor out_11 = conv(bias = const_35, 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_34, 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 const_36 = const()[name = tensor("const_36"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7921792)))]; + tensor const_37 = const()[name = tensor("const_37"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8069312)))]; + tensor out_11 = conv(bias = const_37, 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_36, 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")]; tensor input_87_pad_0 = const()[name = tensor("input_87_pad_0"), val = tensor([1, 1, 1, 1])]; 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_36 = const()[name = tensor("const_36"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8068480)))]; - tensor const_37 = const()[name = tensor("const_37"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8216000)))]; - tensor input_89 = conv(bias = const_37, 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_36, x = input_85)[name = tensor("input_89")]; - tensor input_91 = relu(x = input_89)[name = tensor("input_91")]; + tensor const_38 = const()[name = tensor("const_38"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8069632)))]; + tensor const_39 = const()[name = tensor("const_39"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8217152)))]; + tensor input_89 = conv(bias = const_39, 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_38, 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_38 = const()[name = tensor("const_38"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8216320)))]; - tensor const_39 = const()[name = tensor("const_39"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8363840)))]; - tensor out_13 = conv(bias = const_39, 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_38, 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 const_40 = const()[name = tensor("const_40"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8217472)))]; + tensor const_41 = const()[name = tensor("const_41"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8364992)))]; + tensor out_13 = conv(bias = const_41, 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_40, 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")]; tensor input_99_pad_0 = const()[name = tensor("input_99_pad_0"), val = tensor([1, 1, 1, 1])]; 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_40 = const()[name = tensor("const_40"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8364160)))]; - tensor const_41 = const()[name = tensor("const_41"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8659136)))]; - tensor input_101 = conv(bias = const_41, 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_40, x = input_97)[name = tensor("input_101")]; - tensor input_103 = relu(x = input_101)[name = tensor("input_103")]; + tensor const_42 = const()[name = tensor("const_42"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8365312)))]; + tensor const_43 = const()[name = tensor("const_43"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8660288)))]; + tensor input_101 = conv(bias = const_43, 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_42, 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_42 = const()[name = tensor("const_42"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8659712)))]; - tensor const_43 = const()[name = tensor("const_43"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9249600)))]; - tensor out_15 = conv(bias = const_43, 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_42, x = input_103)[name = tensor("out_15")]; + tensor const_44 = const()[name = tensor("const_44"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8660864)))]; + tensor const_45 = const()[name = tensor("const_45"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9250752)))]; + tensor out_15 = conv(bias = const_45, 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_44, 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_44 = const()[name = tensor("const_44"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9250176)))]; - tensor const_45 = const()[name = tensor("const_45"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9283008)))]; - tensor var_393 = conv(bias = const_45, 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_44, x = input_97)[name = tensor("op_393")]; - tensor input_109 = add(x = out_15, y = var_393)[name = tensor("input_109")]; - tensor input_111 = relu(x = input_109)[name = tensor("input_111")]; + tensor const_46 = const()[name = tensor("const_46"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9251328)))]; + tensor const_47 = const()[name = tensor("const_47"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9284160)))]; + tensor var_420 = conv(bias = const_47, 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_46, x = input_97)[name = tensor("op_420")]; + tensor input_109 = add(x = out_15, y = var_420)[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")]; tensor input_113_pad_0 = const()[name = tensor("input_113_pad_0"), val = tensor([1, 1, 1, 1])]; 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_46 = const()[name = tensor("const_46"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9283584)))]; - tensor const_47 = const()[name = tensor("const_47"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9873472)))]; - tensor input_115 = conv(bias = const_47, 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_46, x = input_111)[name = tensor("input_115")]; - tensor input_117 = relu(x = input_115)[name = tensor("input_117")]; + tensor const_48 = const()[name = tensor("const_48"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9284736)))]; + tensor const_49 = const()[name = tensor("const_49"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9874624)))]; + tensor input_115 = conv(bias = const_49, 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_48, 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_48 = const()[name = tensor("const_48"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9874048)))]; - tensor const_49 = const()[name = tensor("const_49"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10463936)))]; - tensor out_17 = conv(bias = const_49, 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_48, 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 const_50 = const()[name = tensor("const_50"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9875200)))]; + tensor const_51 = const()[name = tensor("const_51"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10465088)))]; + tensor out_17 = conv(bias = const_51, 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_50, 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")]; tensor input_125_pad_0 = const()[name = tensor("input_125_pad_0"), val = tensor([1, 1, 1, 1])]; 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_50 = const()[name = tensor("const_50"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10464512)))]; - tensor const_51 = const()[name = tensor("const_51"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11054400)))]; - tensor input_127 = conv(bias = const_51, 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_50, x = input_123)[name = tensor("input_127")]; - tensor input_129 = relu(x = input_127)[name = tensor("input_129")]; + tensor const_52 = const()[name = tensor("const_52"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10465664)))]; + tensor const_53 = const()[name = tensor("const_53"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11055552)))]; + tensor input_127 = conv(bias = const_53, 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_52, 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_52 = const()[name = tensor("const_52"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11054976)))]; - tensor const_53 = const()[name = tensor("const_53"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11644864)))]; - tensor out_19 = conv(bias = const_53, 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_52, 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 const_54 = const()[name = tensor("const_54"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11056128)))]; + tensor const_55 = const()[name = tensor("const_55"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11646016)))]; + tensor out_19 = conv(bias = const_55, 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_54, 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")]; tensor input_137_pad_0 = const()[name = tensor("input_137_pad_0"), val = tensor([1, 1, 1, 1])]; 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_54 = const()[name = tensor("const_54"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11645440)))]; - tensor const_55 = const()[name = tensor("const_55"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12235328)))]; - tensor input_139 = conv(bias = const_55, 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_54, x = input_135)[name = tensor("input_139")]; - tensor input_141 = relu(x = input_139)[name = tensor("input_141")]; + tensor const_56 = const()[name = tensor("const_56"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11646592)))]; + tensor const_57 = const()[name = tensor("const_57"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12236480)))]; + tensor input_139 = conv(bias = const_57, 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_56, 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_56 = const()[name = tensor("const_56"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12235904)))]; - tensor const_57 = const()[name = tensor("const_57"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12825792)))]; - tensor out_21 = conv(bias = const_57, 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_56, 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 const_58 = const()[name = tensor("const_58"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12237056)))]; + tensor const_59 = const()[name = tensor("const_59"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12826944)))]; + tensor out_21 = conv(bias = const_59, 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_58, 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")]; tensor input_149_pad_0 = const()[name = tensor("input_149_pad_0"), val = tensor([1, 1, 1, 1])]; 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_58 = const()[name = tensor("const_58"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12826368)))]; - tensor const_59 = const()[name = tensor("const_59"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13416256)))]; - tensor input_151 = conv(bias = const_59, 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_58, x = input_147)[name = tensor("input_151")]; - tensor input_153 = relu(x = input_151)[name = tensor("input_153")]; + tensor const_60 = const()[name = tensor("const_60"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12827520)))]; + tensor const_61 = const()[name = tensor("const_61"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13417408)))]; + tensor input_151 = conv(bias = const_61, 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_60, 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_60 = const()[name = tensor("const_60"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13416832)))]; - tensor const_61 = const()[name = tensor("const_61"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14006720)))]; - tensor out_23 = conv(bias = const_61, 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_60, 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 const_62 = const()[name = tensor("const_62"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13417984)))]; + tensor const_63 = const()[name = tensor("const_63"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14007872)))]; + tensor out_23 = conv(bias = const_63, 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_62, 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")]; tensor input_161_pad_0 = const()[name = tensor("input_161_pad_0"), val = tensor([1, 1, 1, 1])]; 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_62 = const()[name = tensor("const_62"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14007296)))]; - tensor const_63 = const()[name = tensor("const_63"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14597184)))]; - tensor input_163 = conv(bias = const_63, 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_62, x = input_159)[name = tensor("input_163")]; - tensor input_165 = relu(x = input_163)[name = tensor("input_165")]; + tensor const_64 = const()[name = tensor("const_64"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14008448)))]; + tensor const_65 = const()[name = tensor("const_65"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14598336)))]; + tensor input_163 = conv(bias = const_65, 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_64, 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_64 = const()[name = tensor("const_64"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14597760)))]; - tensor const_65 = const()[name = tensor("const_65"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15187648)))]; - tensor out_25 = conv(bias = const_65, 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_64, 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 const_66 = const()[name = tensor("const_66"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14598912)))]; + tensor const_67 = const()[name = tensor("const_67"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15188800)))]; + tensor out_25 = conv(bias = const_67, 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_66, 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")]; tensor input_173_pad_0 = const()[name = tensor("input_173_pad_0"), val = tensor([1, 1, 1, 1])]; 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_66 = const()[name = tensor("const_66"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15188224)))]; - tensor const_67 = const()[name = tensor("const_67"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16367936)))]; - tensor input_175 = conv(bias = const_67, 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_66, x = input_171)[name = tensor("input_175")]; - tensor input_177 = relu(x = input_175)[name = tensor("input_177")]; + tensor const_68 = const()[name = tensor("const_68"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15189376)))]; + tensor const_69 = const()[name = tensor("const_69"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16369088)))]; + tensor input_175 = conv(bias = const_69, 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_68, 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_68 = const()[name = tensor("const_68"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16369024)))]; - tensor const_69 = const()[name = tensor("const_69"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18728384)))]; - tensor out_27 = conv(bias = const_69, 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_68, x = input_177)[name = tensor("out_27")]; + tensor const_70 = const()[name = tensor("const_70"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16370176)))]; + tensor const_71 = const()[name = tensor("const_71"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18729536)))]; + tensor out_27 = conv(bias = const_71, 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_70, 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_70 = const()[name = tensor("const_70"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18729472)))]; - tensor const_71 = const()[name = tensor("const_71"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18860608)))]; - tensor var_584 = conv(bias = const_71, 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_70, x = input_171)[name = tensor("op_584")]; - tensor input_183 = add(x = out_27, y = var_584)[name = tensor("input_183")]; - tensor input_185 = relu(x = input_183)[name = tensor("input_185")]; + tensor const_72 = const()[name = tensor("const_72"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18730624)))]; + tensor const_73 = const()[name = tensor("const_73"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18861760)))]; + tensor var_611 = conv(bias = const_73, 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_72, x = input_171)[name = tensor("op_611")]; + tensor input_183 = add(x = out_27, y = var_611)[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")]; tensor input_187_pad_0 = const()[name = tensor("input_187_pad_0"), val = tensor([1, 1, 1, 1])]; 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_72 = const()[name = tensor("const_72"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18861696)))]; - tensor const_73 = const()[name = tensor("const_73"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21221056)))]; - tensor input_189 = conv(bias = const_73, 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_72, x = input_185)[name = tensor("input_189")]; - tensor input_191 = relu(x = input_189)[name = tensor("input_191")]; + tensor const_74 = const()[name = tensor("const_74"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18862848)))]; + tensor const_75 = const()[name = tensor("const_75"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21222208)))]; + tensor input_189 = conv(bias = const_75, 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_74, 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_74 = const()[name = tensor("const_74"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21222144)))]; - tensor const_75 = const()[name = tensor("const_75"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23581504)))]; - tensor out_29 = conv(bias = const_75, 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_74, 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 const_76 = const()[name = tensor("const_76"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21223296)))]; + tensor const_77 = const()[name = tensor("const_77"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23582656)))]; + tensor out_29 = conv(bias = const_77, 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_76, 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")]; tensor input_199_pad_0 = const()[name = tensor("input_199_pad_0"), val = tensor([1, 1, 1, 1])]; 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_76 = const()[name = tensor("const_76"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23582592)))]; - tensor const_77 = const()[name = tensor("const_77"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25941952)))]; - tensor input_201 = conv(bias = const_77, 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_76, x = input_197)[name = tensor("input_201")]; - tensor input_203 = relu(x = input_201)[name = tensor("input_203")]; + tensor const_78 = const()[name = tensor("const_78"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23583744)))]; + tensor const_79 = const()[name = tensor("const_79"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25943104)))]; + tensor input_201 = conv(bias = const_79, 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_78, 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_78 = const()[name = tensor("const_78"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25943040)))]; - tensor const_79 = const()[name = tensor("const_79"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28302400)))]; - tensor out = conv(bias = const_79, 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_78, 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 var_653 = const()[name = tensor("op_653"), val = tensor([1, 2560, 63])]; - tensor sequences = reshape(shape = var_653, x = features)[name = tensor("sequences")]; - tensor weights_3_axes_0 = const()[name = tensor("weights_3_axes_0"), val = tensor([1])]; - tensor weights_3 = expand_dims(axes = weights_3_axes_0, x = weights)[name = tensor("weights_3")]; + tensor const_80 = const()[name = tensor("const_80"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25944192)))]; + tensor const_81 = const()[name = tensor("const_81"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28303552)))]; + tensor out = conv(bias = const_81, 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_80, 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 var_680 = const()[name = tensor("op_680"), val = tensor([1, 2560, 125])]; + tensor sequences = reshape(shape = var_680, x = features)[name = tensor("sequences")]; + tensor weights_5_axes_0 = const()[name = tensor("weights_5_axes_0"), val = tensor([1])]; + tensor weights_5 = expand_dims(axes = weights_5_axes_0, x = weights_3)[name = tensor("weights_5")]; tensor weights_axes_0 = const()[name = tensor("weights_axes_0"), val = tensor([2])]; - tensor weights_1 = expand_dims(axes = weights_axes_0, x = weights_3)[name = tensor("weights")]; - tensor var_658_axes_0 = const()[name = tensor("op_658_axes_0"), val = tensor([-1])]; - tensor var_658_keep_dims_0 = const()[name = tensor("op_658_keep_dims_0"), val = tensor(false)]; - tensor var_658 = reduce_sum(axes = var_658_axes_0, keep_dims = var_658_keep_dims_0, x = weights_1)[name = tensor("op_658")]; - tensor var_659 = const()[name = tensor("op_659"), val = tensor(0x1.5798eep-27)]; - tensor v1 = add(x = var_658, y = var_659)[name = tensor("v1")]; - tensor var_661_axes_0 = const()[name = tensor("op_661_axes_0"), val = tensor([1])]; - tensor var_661 = expand_dims(axes = var_661_axes_0, x = sequences)[name = tensor("op_661")]; - tensor weighted = mul(x = var_661, y = weights_1)[name = tensor("weighted")]; - tensor var_664_axes_0 = const()[name = tensor("op_664_axes_0"), val = tensor([-1])]; - tensor var_664_keep_dims_0 = const()[name = tensor("op_664_keep_dims_0"), val = tensor(false)]; - tensor var_664 = reduce_sum(axes = var_664_axes_0, keep_dims = var_664_keep_dims_0, x = weighted)[name = tensor("op_664")]; - tensor mean = real_div(x = var_664, y = v1)[name = tensor("mean")]; - tensor var_667_axes_0 = const()[name = tensor("op_667_axes_0"), val = tensor([-1])]; - tensor var_667 = expand_dims(axes = var_667_axes_0, x = mean)[name = tensor("op_667")]; - tensor diff = sub(x = var_661, y = var_667)[name = tensor("diff")]; - tensor var_669 = mul(x = weights_1, y = weights_1)[name = tensor("op_669")]; + tensor weights_1 = expand_dims(axes = weights_axes_0, x = weights_5)[name = tensor("weights")]; + tensor var_685_axes_0 = const()[name = tensor("op_685_axes_0"), val = tensor([-1])]; + tensor var_685_keep_dims_0 = const()[name = tensor("op_685_keep_dims_0"), val = tensor(false)]; + tensor var_685 = reduce_sum(axes = var_685_axes_0, keep_dims = var_685_keep_dims_0, x = weights_1)[name = tensor("op_685")]; + tensor var_686 = const()[name = tensor("op_686"), val = tensor(0x1.5798eep-27)]; + tensor v1 = add(x = var_685, y = var_686)[name = tensor("v1")]; + tensor var_688_axes_0 = const()[name = tensor("op_688_axes_0"), val = tensor([1])]; + tensor var_688 = expand_dims(axes = var_688_axes_0, x = sequences)[name = tensor("op_688")]; + tensor weighted = mul(x = var_688, y = weights_1)[name = tensor("weighted")]; + tensor var_691_axes_0 = const()[name = tensor("op_691_axes_0"), val = tensor([-1])]; + tensor var_691_keep_dims_0 = const()[name = tensor("op_691_keep_dims_0"), val = tensor(false)]; + tensor var_691 = reduce_sum(axes = var_691_axes_0, keep_dims = var_691_keep_dims_0, x = weighted)[name = tensor("op_691")]; + tensor mean = real_div(x = var_691, y = v1)[name = tensor("mean")]; + tensor var_694_axes_0 = const()[name = tensor("op_694_axes_0"), val = tensor([-1])]; + tensor var_694 = expand_dims(axes = var_694_axes_0, x = mean)[name = tensor("op_694")]; + tensor diff = sub(x = var_688, y = var_694)[name = tensor("diff")]; + tensor var_696 = mul(x = weights_1, y = weights_1)[name = tensor("op_696")]; tensor v2_axes_0 = const()[name = tensor("v2_axes_0"), val = tensor([-1])]; tensor v2_keep_dims_0 = const()[name = tensor("v2_keep_dims_0"), val = tensor(false)]; - tensor v2 = reduce_sum(axes = v2_axes_0, keep_dims = v2_keep_dims_0, x = var_669)[name = tensor("v2")]; - tensor var_672 = real_div(x = v2, y = v1)[name = tensor("op_672")]; - tensor var_673 = sub(x = v1, y = var_672)[name = tensor("op_673")]; - tensor var_674 = const()[name = tensor("op_674"), val = tensor(0x1.5798eep-27)]; - tensor denom = add(x = var_673, y = var_674)[name = tensor("denom")]; - tensor var_676 = mul(x = diff, y = diff)[name = tensor("op_676")]; - tensor var_677 = mul(x = var_676, y = weights_1)[name = tensor("op_677")]; - tensor var_679_axes_0 = const()[name = tensor("op_679_axes_0"), val = tensor([-1])]; - tensor var_679_keep_dims_0 = const()[name = tensor("op_679_keep_dims_0"), val = tensor(false)]; - tensor var_679 = reduce_sum(axes = var_679_axes_0, keep_dims = var_679_keep_dims_0, x = var_677)[name = tensor("op_679")]; - tensor var = real_div(x = var_679, y = denom)[name = tensor("var")]; - tensor const_7 = const()[name = tensor("const_7"), val = tensor(0x1.fffffep+127)]; - tensor clip_1 = clip(alpha = var_92, beta = const_7, x = var)[name = tensor("clip_1")]; + tensor v2 = reduce_sum(axes = v2_axes_0, keep_dims = v2_keep_dims_0, x = var_696)[name = tensor("v2")]; + tensor var_699 = real_div(x = v2, y = v1)[name = tensor("op_699")]; + tensor var_700 = sub(x = v1, y = var_699)[name = tensor("op_700")]; + tensor var_701 = const()[name = tensor("op_701"), val = tensor(0x1.5798eep-27)]; + tensor denom = add(x = var_700, y = var_701)[name = tensor("denom")]; + tensor var_703 = mul(x = diff, y = diff)[name = tensor("op_703")]; + tensor var_704 = mul(x = var_703, y = weights_1)[name = tensor("op_704")]; + tensor var_706_axes_0 = const()[name = tensor("op_706_axes_0"), val = tensor([-1])]; + tensor var_706_keep_dims_0 = const()[name = tensor("op_706_keep_dims_0"), val = tensor(false)]; + tensor var_706 = reduce_sum(axes = var_706_axes_0, keep_dims = var_706_keep_dims_0, x = var_704)[name = tensor("op_706")]; + tensor var = real_div(x = var_706, y = denom)[name = tensor("var")]; + tensor const_8 = const()[name = tensor("const_8"), val = tensor(0x1.fffffep+127)]; + tensor clip_1 = clip(alpha = var_119, beta = const_8, x = var)[name = tensor("clip_1")]; tensor std = sqrt(x = clip_1)[name = tensor("std")]; tensor output_interleave_0 = const()[name = tensor("output_interleave_0"), val = tensor(false)]; - tensor output = concat(axis = var_91, interleave = output_interleave_0, values = (mean, std))[name = tensor("output")]; - tensor input_axes_0 = const()[name = tensor("input_axes_0"), val = tensor([1])]; - tensor input = squeeze(axes = input_axes_0, x = output)[name = tensor("input")]; - tensor embedding = linear(bias = resnet_seg_1_bias, weight = resnet_seg_1_weight, x = input)[name = tensor("linear_0")]; + tensor output = concat(axis = var_118, interleave = output_interleave_0, values = (mean, std))[name = tensor("output")]; + tensor input_209_axes_0 = const()[name = tensor("input_209_axes_0"), val = tensor([1])]; + tensor input_209 = squeeze(axes = input_209_axes_0, x = output)[name = tensor("input_209")]; + tensor input = linear(bias = resnet_seg_1_bias, weight = resnet_seg_1_weight, x = input_209)[name = tensor("linear_0")]; + tensor var_718 = const()[name = tensor("op_718"), val = tensor([-1])]; + tensor var_719 = const()[name = tensor("op_719"), val = tensor(true)]; + tensor norms_1 = reduce_l2_norm(axes = var_718, keep_dims = var_719, x = input)[name = tensor("norms_1")]; + tensor var_722 = const()[name = tensor("op_722"), val = tensor(0x1.197998p-40)]; + tensor const_9 = const()[name = tensor("const_9"), val = tensor(0x1.fffffep+127)]; + tensor clip_2 = clip(alpha = var_722, beta = const_9, x = norms_1)[name = tensor("clip_2")]; + tensor embedding = real_div(x = input, y = clip_2)[name = tensor("op_725")]; } -> (embedding); } \ No newline at end of file