***** WARNING : tensor_bits = 32 -- Compiling for floating point - target execution is not supported for 32 bit compilation !! ***** tidl_tools_path = /home/root/tidl_tools artifacts_folder = ../../../model-artifacts//yolact/ tidl_tensor_bits = 32 debug_level = 4 num_tidl_subgraphs = 16 tidl_denylist = tidl_denylist_layer_name = tidl_denylist_layer_type = tidl_allowlist_layer_name = model_type = tidl_calibration_accuracy_level = 64 tidl_calibration_options:num_frames_calibration = 2 tidl_calibration_options:bias_calibration_iterations = 3 mixed_precision_factor = -1.000000 model_group_id = 0 power_of_2_quantization = 2 ONNX QDQ Enabled = 0 enable_high_resolution_optimization = 0 pre_batchnorm_fold = 1 add_data_convert_ops = 0 output_feature_16bit_names_list = m_params_16bit_names_list = m_single_core_layers_names_list = reserved_compile_constraints_flag = 1601 ti_internal_reserved_1 = ****** WARNING : Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options****** Supported TIDL layer type --- Conv -- Conv_0 Supported TIDL layer type --- Relu -- Relu_1 Supported TIDL layer type --- MaxPool -- MaxPool_2 Supported TIDL layer type --- Conv -- Conv_8 Supported TIDL layer type --- Conv -- Conv_3 Supported TIDL layer type --- Relu -- Relu_4 Supported TIDL layer type --- Conv -- Conv_5 Supported TIDL layer type --- Relu -- Relu_6 Supported TIDL layer type --- Conv -- Conv_7 Supported TIDL layer type --- Add -- Add_9 Supported TIDL layer type --- Relu -- Relu_10 Supported TIDL layer type --- Conv -- Conv_11 Supported TIDL layer type --- Relu -- Relu_12 Supported TIDL layer type --- Conv -- Conv_13 Supported TIDL layer type --- Relu -- Relu_14 Supported TIDL layer type --- Conv -- Conv_15 Supported TIDL layer type --- Add -- Add_16 Supported TIDL layer type --- Relu -- Relu_17 Supported TIDL layer type --- Conv -- Conv_18 Supported TIDL layer type --- Relu -- Relu_19 Supported TIDL layer type --- Conv -- Conv_20 Supported TIDL layer type --- Relu -- Relu_21 Supported TIDL layer type --- Conv -- Conv_22 Supported TIDL layer type --- Add -- Add_23 Supported TIDL layer type --- Relu -- Relu_24 Supported TIDL layer type --- Conv -- Conv_30 Supported TIDL layer type --- Conv -- Conv_25 Supported TIDL layer type --- Relu -- Relu_26 Supported TIDL layer type --- Conv -- Conv_27 Supported TIDL layer type --- Relu -- Relu_28 Supported TIDL layer type --- Conv -- Conv_29 Supported TIDL layer type --- Add -- Add_31 Supported TIDL layer type --- Relu -- Relu_32 Supported TIDL layer type --- Conv -- Conv_33 Supported TIDL layer type --- Relu -- Relu_34 Supported TIDL layer type --- Conv -- Conv_35 Supported TIDL layer type --- Relu -- Relu_36 Supported TIDL layer type --- Conv -- Conv_37 Supported TIDL layer type --- Add -- Add_38 Supported TIDL layer type --- Relu -- Relu_39 Supported TIDL layer type --- Conv -- Conv_40 Supported TIDL layer type --- Relu -- Relu_41 Supported TIDL layer type --- Conv -- Conv_42 Supported TIDL layer type --- Relu -- Relu_43 Supported TIDL layer type --- Conv -- Conv_44 Supported TIDL layer type --- Add -- Add_45 Supported TIDL layer type --- Relu -- Relu_46 Supported TIDL layer type --- Conv -- Conv_47 Supported TIDL layer type --- Relu -- Relu_48 Supported TIDL layer type --- Conv -- Conv_49 Supported TIDL layer type --- Relu -- Relu_50 Supported TIDL layer type --- Conv -- Conv_51 Supported TIDL layer type --- Add -- Add_52 Supported TIDL layer type --- Relu -- Relu_53 Supported TIDL layer type --- Conv -- Conv_59 Supported TIDL layer type --- Conv -- Conv_54 Supported TIDL layer type --- Relu -- Relu_55 Supported TIDL layer type --- Conv -- Conv_56 Supported TIDL layer type --- Relu -- Relu_57 Supported TIDL layer type --- Conv -- Conv_58 Supported TIDL layer type --- Add -- Add_60 Supported TIDL layer type --- Relu -- Relu_61 Supported TIDL layer type --- Conv -- Conv_62 Supported TIDL layer type --- Relu -- Relu_63 Supported TIDL layer type --- Conv -- Conv_64 Supported TIDL layer type --- Relu -- Relu_65 Supported TIDL layer type --- Conv -- Conv_66 Supported TIDL layer type --- Add -- Add_67 Supported TIDL layer type --- Relu -- Relu_68 Supported TIDL layer type --- Conv -- Conv_69 Supported TIDL layer type --- Relu -- Relu_70 Supported TIDL layer type --- Conv -- Conv_71 Supported TIDL layer type --- Relu -- Relu_72 Supported TIDL layer type --- Conv -- Conv_73 Supported TIDL layer type --- Add -- Add_74 Supported TIDL layer type --- Relu -- Relu_75 Supported TIDL layer type --- Conv -- Conv_76 Supported TIDL layer type --- Relu -- Relu_77 Supported TIDL layer type --- Conv -- Conv_78 Supported TIDL layer type --- Relu -- Relu_79 Supported TIDL layer type --- Conv -- Conv_80 Supported TIDL layer type --- Add -- Add_81 Supported TIDL layer type --- Relu -- Relu_82 Supported TIDL layer type --- Conv -- Conv_83 Supported TIDL layer type --- Relu -- Relu_84 Supported TIDL layer type --- Conv -- Conv_85 Supported TIDL layer type --- Relu -- Relu_86 Supported TIDL layer type --- Conv -- Conv_87 Supported TIDL layer type --- Add -- Add_88 Supported TIDL layer type --- Relu -- Relu_89 Supported TIDL layer type --- Conv -- Conv_90 Supported TIDL layer type --- Relu -- Relu_91 Supported TIDL layer type --- Conv -- Conv_92 Supported TIDL layer type --- Relu -- Relu_93 Supported TIDL layer type --- Conv -- Conv_94 Supported TIDL layer type --- Add -- Add_95 Supported TIDL layer type --- Relu -- Relu_96 Supported TIDL layer type --- Conv -- Conv_102 Supported TIDL layer type --- Conv -- Conv_97 Supported TIDL layer type --- Relu -- Relu_98 Supported TIDL layer type --- Conv -- Conv_99 Supported TIDL layer type --- Relu -- Relu_100 Supported TIDL layer type --- Conv -- Conv_101 Supported TIDL layer type --- Add -- Add_103 Supported TIDL layer type --- Relu -- Relu_104 Supported TIDL layer type --- Conv -- Conv_105 Supported TIDL layer type --- Relu -- Relu_106 Supported TIDL layer type --- Conv -- Conv_107 Supported TIDL layer type --- Relu -- Relu_108 Supported TIDL layer type --- Conv -- Conv_109 Supported TIDL layer type --- Add -- Add_110 Supported TIDL layer type --- Relu -- Relu_111 Supported TIDL layer type --- Conv -- Conv_112 Supported TIDL layer type --- Relu -- Relu_113 Supported TIDL layer type --- Conv -- Conv_114 Supported TIDL layer type --- Relu -- Relu_115 Supported TIDL layer type --- Conv -- Conv_116 Supported TIDL layer type --- Add -- Add_117 Supported TIDL layer type --- Relu -- Relu_118 Supported TIDL layer type --- Conv -- Conv_119 Supported TIDL layer type --- Conv -- Conv_144 Supported TIDL layer type --- Relu -- Relu_145 Supported TIDL layer type --- Conv -- Conv_150 Supported TIDL layer type --- Conv -- Conv_151 Supported TIDL layer type --- Conv -- Conv_274 Supported TIDL layer type --- Relu -- Relu_275 Supported TIDL layer type --- Conv -- Conv_284 Supported TIDL layer type --- Transpose -- Transpose_285 Supported TIDL layer type --- Reshape -- Reshape_291 Supported TIDL layer type --- Conv -- Conv_247 Supported TIDL layer type --- Relu -- Relu_248 Supported TIDL layer type --- Conv -- Conv_257 Supported TIDL layer type --- Transpose -- Transpose_258 Supported TIDL layer type --- Reshape -- Reshape_264 Supported TIDL layer type --- Conv -- Conv_220 Supported TIDL layer type --- Relu -- Relu_221 Supported TIDL layer type --- Conv -- Conv_230 Supported TIDL layer type --- Transpose -- Transpose_231 Supported TIDL layer type --- Reshape -- Reshape_237 Supported TIDL layer type --- Conv -- Conv_131 Supported TIDL layer type --- Resize -- Resize_130 Supported TIDL layer type --- Add -- Add_132 Supported TIDL layer type --- Conv -- Conv_146 Supported TIDL layer type --- Relu -- Relu_147 Supported TIDL layer type --- Conv -- Conv_193 Supported TIDL layer type --- Relu -- Relu_194 Supported TIDL layer type --- Conv -- Conv_203 Supported TIDL layer type --- Transpose -- Transpose_204 Supported TIDL layer type --- Reshape -- Reshape_210 Supported TIDL layer type --- Conv -- Conv_142 Supported TIDL layer type --- Resize -- Resize_141 Supported TIDL layer type --- Add -- Add_143 Supported TIDL layer type --- Conv -- Conv_148 Supported TIDL layer type --- Relu -- Relu_149 Supported TIDL layer type --- Conv -- Conv_166 Supported TIDL layer type --- Relu -- Relu_167 Supported TIDL layer type --- Conv -- Conv_176 Supported TIDL layer type --- Transpose -- Transpose_177 Supported TIDL layer type --- Reshape -- Reshape_183 Supported TIDL layer type --- Concat -- Concat_302 Supported TIDL layer type --- Softmax -- Softmax_305 Supported TIDL layer type --- Conv -- Conv_292 Supported TIDL layer type --- Transpose -- Transpose_293 Supported TIDL layer type --- Reshape -- Reshape_299 Supported TIDL layer type --- Tanh -- Tanh_300 Supported TIDL layer type --- Conv -- Conv_265 Supported TIDL layer type --- Transpose -- Transpose_266 Supported TIDL layer type --- Reshape -- Reshape_272 Supported TIDL layer type --- Tanh -- Tanh_273 Supported TIDL layer type --- Conv -- Conv_238 Supported TIDL layer type --- Transpose -- Transpose_239 Supported TIDL layer type --- Reshape -- Reshape_245 Supported TIDL layer type --- Tanh -- Tanh_246 Supported TIDL layer type --- Conv -- Conv_211 Supported TIDL layer type --- Transpose -- Transpose_212 Supported TIDL layer type --- Reshape -- Reshape_218 Supported TIDL layer type --- Tanh -- Tanh_219 Supported TIDL layer type --- Conv -- Conv_184 Supported TIDL layer type --- Transpose -- Transpose_185 Supported TIDL layer type --- Reshape -- Reshape_191 Supported TIDL layer type --- Tanh -- Tanh_192 Supported TIDL layer type --- Concat -- Concat_303 Supported TIDL layer type --- Conv -- Conv_276 Supported TIDL layer type --- Transpose -- Transpose_277 Supported TIDL layer type --- Reshape -- Reshape_283 Supported TIDL layer type --- Conv -- Conv_249 Supported TIDL layer type --- Transpose -- Transpose_250 Supported TIDL layer type --- Reshape -- Reshape_256 Supported TIDL layer type --- Conv -- Conv_222 Supported TIDL layer type --- Transpose -- Transpose_223 Supported TIDL layer type --- Reshape -- Reshape_229 Supported TIDL layer type --- Conv -- Conv_195 Supported TIDL layer type --- Transpose -- Transpose_196 Supported TIDL layer type --- Reshape -- Reshape_202 Supported TIDL layer type --- Conv -- Conv_168 Supported TIDL layer type --- Transpose -- Transpose_169 Supported TIDL layer type --- Reshape -- Reshape_175 Supported TIDL layer type --- Concat -- Concat_301 Supported TIDL layer type --- Conv -- Conv_152 Supported TIDL layer type --- Relu -- Relu_153 Supported TIDL layer type --- Conv -- Conv_154 Supported TIDL layer type --- Relu -- Relu_155 Supported TIDL layer type --- Conv -- Conv_156 Supported TIDL layer type --- Relu -- Relu_157 Supported TIDL layer type --- Resize -- Resize_159 Supported TIDL layer type --- Relu -- Relu_160 Supported TIDL layer type --- Conv -- Conv_161 Supported TIDL layer type --- Relu -- Relu_162 Supported TIDL layer type --- Conv -- Conv_163 Supported TIDL layer type --- Relu -- Relu_164 Supported TIDL layer type --- Transpose -- Transpose_165 Preliminary subgraphs created = 1 Final number of subgraphs created are : 1, - Offloaded Nodes - 211, Total Nodes - 211 SUGGESTION -- [TIDL_ResizeLayer] Resize Layer with non-symmetric resize ratio across width and height is not optimal. SUGGESTION -- [TIDL_ResizeLayer] Resize Layer with non-symmetric resize ratio across width and height is not optimal. INFORMATION -- [TIDL_ResizeLayer] Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. Running runtimes graphviz - /home/root/tidl_tools/tidl_graphVisualiser_runtimes.out ../../../model-artifacts//yolact//allowedNode.txt ../../../model-artifacts//yolact//tempDir/graphvizInfo.txt ../../../model-artifacts//yolact//tempDir/runtimes_visualization.svg *** In TIDL_createStateImportFunc *** Compute on node : TIDLExecutionProvider_TIDL_0_0 0, Conv, 3, 1, input.1, 781 1, Relu, 1, 1, 781, 357 2, MaxPool, 1, 1, 357, 358 3, Conv, 3, 1, 358, 784 4, Relu, 1, 1, 784, 361 5, Conv, 3, 1, 361, 787 6, Relu, 1, 1, 787, 364 7, Conv, 3, 1, 364, 790 8, Conv, 3, 1, 358, 793 9, Add, 2, 1, 790, 369 10, Relu, 1, 1, 369, 370 11, Conv, 3, 1, 370, 796 12, Relu, 1, 1, 796, 373 13, Conv, 3, 1, 373, 799 14, Relu, 1, 1, 799, 376 15, Conv, 3, 1, 376, 802 16, Add, 2, 1, 802, 379 17, Relu, 1, 1, 379, 380 18, Conv, 3, 1, 380, 805 19, Relu, 1, 1, 805, 383 20, Conv, 3, 1, 383, 808 21, Relu, 1, 1, 808, 386 22, Conv, 3, 1, 386, 811 23, Add, 2, 1, 811, 389 24, Relu, 1, 1, 389, 390 25, Conv, 3, 1, 390, 814 26, Relu, 1, 1, 814, 393 27, Conv, 3, 1, 393, 817 28, Relu, 1, 1, 817, 396 29, Conv, 3, 1, 396, 820 30, Conv, 3, 1, 390, 823 31, Add, 2, 1, 820, 401 32, Relu, 1, 1, 401, 402 33, Conv, 3, 1, 402, 826 34, Relu, 1, 1, 826, 405 35, Conv, 3, 1, 405, 829 36, Relu, 1, 1, 829, 408 37, Conv, 3, 1, 408, 832 38, Add, 2, 1, 832, 411 39, Relu, 1, 1, 411, 412 40, Conv, 3, 1, 412, 835 41, Relu, 1, 1, 835, 415 42, Conv, 3, 1, 415, 838 43, Relu, 1, 1, 838, 418 44, Conv, 3, 1, 418, 841 45, Add, 2, 1, 841, 421 46, Relu, 1, 1, 421, 422 47, Conv, 3, 1, 422, 844 48, Relu, 1, 1, 844, 425 49, Conv, 3, 1, 425, 847 50, Relu, 1, 1, 847, 428 51, Conv, 3, 1, 428, 850 52, Add, 2, 1, 850, 431 53, Relu, 1, 1, 431, 432 54, Conv, 3, 1, 432, 853 55, Relu, 1, 1, 853, 435 56, Conv, 3, 1, 435, 856 57, Relu, 1, 1, 856, 438 58, Conv, 3, 1, 438, 859 59, Conv, 3, 1, 432, 862 60, Add, 2, 1, 859, 443 61, Relu, 1, 1, 443, 444 62, Conv, 3, 1, 444, 865 63, Relu, 1, 1, 865, 447 64, Conv, 3, 1, 447, 868 65, Relu, 1, 1, 868, 450 66, Conv, 3, 1, 450, 871 67, Add, 2, 1, 871, 453 68, Relu, 1, 1, 453, 454 69, Conv, 3, 1, 454, 874 70, Relu, 1, 1, 874, 457 71, Conv, 3, 1, 457, 877 72, Relu, 1, 1, 877, 460 73, Conv, 3, 1, 460, 880 74, Add, 2, 1, 880, 463 75, Relu, 1, 1, 463, 464 76, Conv, 3, 1, 464, 883 77, Relu, 1, 1, 883, 467 78, Conv, 3, 1, 467, 886 79, Relu, 1, 1, 886, 470 80, Conv, 3, 1, 470, 889 81, Add, 2, 1, 889, 473 82, Relu, 1, 1, 473, 474 83, Conv, 3, 1, 474, 892 84, Relu, 1, 1, 892, 477 85, Conv, 3, 1, 477, 895 86, Relu, 1, 1, 895, 480 87, Conv, 3, 1, 480, 898 88, Add, 2, 1, 898, 483 89, Relu, 1, 1, 483, 484 90, Conv, 3, 1, 484, 901 91, Relu, 1, 1, 901, 487 92, Conv, 3, 1, 487, 904 93, Relu, 1, 1, 904, 490 94, Conv, 3, 1, 490, 907 95, Add, 2, 1, 907, 493 96, Relu, 1, 1, 493, 494 97, Conv, 3, 1, 494, 910 98, Relu, 1, 1, 910, 497 99, Conv, 3, 1, 497, 913 100, Relu, 1, 1, 913, 500 101, Conv, 3, 1, 500, 916 102, Conv, 3, 1, 494, 919 103, Add, 2, 1, 916, 505 104, Relu, 1, 1, 505, 506 105, Conv, 3, 1, 506, 922 106, Relu, 1, 1, 922, 509 107, Conv, 3, 1, 509, 925 108, Relu, 1, 1, 925, 512 109, Conv, 3, 1, 512, 928 110, Add, 2, 1, 928, 515 111, Relu, 1, 1, 515, 516 112, Conv, 3, 1, 516, 931 113, Relu, 1, 1, 931, 519 114, Conv, 3, 1, 519, 934 115, Relu, 1, 1, 934, 522 116, Conv, 3, 1, 522, 937 117, Add, 2, 1, 937, 525 118, Relu, 1, 1, 525, 526 119, Conv, 3, 1, 526, 527 120, Resize, 4, 1, 527, 540 121, Conv, 3, 1, 494, 541 122, Add, 2, 1, 540, 542 123, Resize, 4, 1, 542, 553 124, Conv, 3, 1, 432, 554 125, Add, 2, 1, 553, 555 126, Conv, 3, 1, 555, 560 127, Relu, 1, 1, 560, 561 128, Conv, 3, 1, 561, 564 129, Relu, 1, 1, 564, 565 130, Conv, 3, 1, 565, 566 131, Relu, 1, 1, 566, 567 132, Conv, 3, 1, 567, 568 133, Relu, 1, 1, 568, 569 134, Resize, 3, 1, 569, 574 135, Relu, 1, 1, 574, 575 136, Conv, 3, 1, 575, 576 137, Relu, 1, 1, 576, 577 138, Conv, 3, 1, 577, 578 139, Relu, 1, 1, 578, 579 140, Transpose, 1, 1, 579, 580 141, Conv, 3, 1, 561, 581 142, Relu, 1, 1, 581, 582 143, Conv, 3, 1, 582, 583 144, Transpose, 1, 1, 583, 584 145, Reshape, 2, 1, 584, 594 146, Conv, 3, 1, 542, 558 147, Relu, 1, 1, 558, 559 148, Conv, 3, 1, 559, 620 149, Relu, 1, 1, 620, 621 150, Conv, 3, 1, 621, 622 151, Transpose, 1, 1, 622, 623 152, Reshape, 2, 1, 623, 633 153, Conv, 3, 1, 527, 556 154, Relu, 1, 1, 556, 557 155, Conv, 3, 1, 557, 659 156, Relu, 1, 1, 659, 660 157, Conv, 3, 1, 660, 661 158, Transpose, 1, 1, 661, 662 159, Reshape, 2, 1, 662, 672 160, Conv, 3, 1, 557, 562 161, Conv, 3, 1, 562, 698 162, Relu, 1, 1, 698, 699 163, Conv, 3, 1, 699, 700 164, Transpose, 1, 1, 700, 701 165, Reshape, 2, 1, 701, 711 166, Conv, 3, 1, 562, 563 167, Conv, 3, 1, 563, 737 168, Relu, 1, 1, 737, 738 169, Conv, 3, 1, 738, 739 170, Transpose, 1, 1, 739, 740 171, Reshape, 2, 1, 740, 750 172, Concat, 5, 1, 594, 776 173, Conv, 3, 1, 582, 607 174, Transpose, 1, 1, 607, 608 175, Reshape, 2, 1, 608, 618 176, Tanh, 1, 1, 618, 619 177, Conv, 3, 1, 621, 646 178, Transpose, 1, 1, 646, 647 179, Reshape, 2, 1, 647, 657 180, Tanh, 1, 1, 657, 658 181, Conv, 3, 1, 660, 685 182, Transpose, 1, 1, 685, 686 183, Reshape, 2, 1, 686, 696 184, Tanh, 1, 1, 696, 697 185, Conv, 3, 1, 699, 724 186, Transpose, 1, 1, 724, 725 187, Reshape, 2, 1, 725, 735 188, Tanh, 1, 1, 735, 736 189, Conv, 3, 1, 738, 763 190, Transpose, 1, 1, 763, 764 191, Reshape, 2, 1, 764, 774 192, Tanh, 1, 1, 774, 775 193, Concat, 5, 1, 619, 778 194, Conv, 3, 1, 582, 595 195, Transpose, 1, 1, 595, 596 196, Reshape, 2, 1, 596, 606 197, Conv, 3, 1, 621, 634 198, Transpose, 1, 1, 634, 635 199, Reshape, 2, 1, 635, 645 200, Conv, 3, 1, 660, 673 201, Transpose, 1, 1, 673, 674 202, Reshape, 2, 1, 674, 684 203, Conv, 3, 1, 699, 712 204, Transpose, 1, 1, 712, 713 205, Reshape, 2, 1, 713, 723 206, Conv, 3, 1, 738, 751 207, Transpose, 1, 1, 751, 752 208, Reshape, 2, 1, 752, 762 209, Concat, 5, 1, 606, 777 210, Softmax, 1, 1, 777, 780 Input tensor name - input.1 Output tensor name - 780 Output tensor name - 778 Output tensor name - 776 Output tensor name - 580 Graph Domain TO version : 11In TIDL_onnxRtImportInit subgraph_name=subgraph_0 Layer 0, subgraph id subgraph_0, name=780 Layer 1, subgraph id subgraph_0, name=778 Layer 2, subgraph id subgraph_0, name=776 Layer 3, subgraph id subgraph_0, name=580 Layer 4, subgraph id subgraph_0, name=input.1 In TIDL_runtimesOptimizeNet: LayerIndex = 216, dataIndex = 212 ************** Frame index 1 : Running float import ************* In TIDL_runtimesPostProcessNet In TIDL_runtimesPostProcessNet 1 In TIDL_runtimesPostProcessNet 2 In TIDL_runtimesPostProcessNet 3 **************************************************** ** All the Tensor Dimensions has to be greater then Zero ** DIM Error - For Tensor 72, Dim 4 is 0 **************************************************** SUGGESTION: [TIDL_ResizeLayer] Resize_130 Resize Layer with non-symmetric resize ratio across width and height is not optimal. SUGGESTION: [TIDL_ResizeLayer] Resize_141 Resize Layer with non-symmetric resize ratio across width and height is not optimal. INFORMATION: [TIDL_ResizeLayer] Resize_159 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. **************************************************** ** 3 WARNINGS 0 ERRORS ** **************************************************** In TIDL_runtimesPostProcessNet 4 ************ in TIDL_subgraphRtMultiple GPUs detected! Turning off JIT. Available execution providers : ['TIDLExecutionProvider', 'TIDLCompilationProvider', 'CPUExecutionProvider'] Running 1 Models - ['yolact'] Running_Model : yolact Running shape inference on model /home/root/zzz/model_onnx/yolact.onnx ***************Running_Inference Section ********** This is Lucid Model for image ../../../test_data/airshow.jpg (1, 1, 1, 1, 19248, 4) (1, 1, 1, 1, 19248, 81) (1, 1, 1, 1, 19248, 32) (19248, 4) () <zzz.layers.functions.detection_tidl.Detect object at 0x7054515375b0> Create ************ The soft limit is 2048 The hard limit is 2048 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INIT:Enabled 0.9s: VX_ZONE_ERROR:Enabled 0.11s: VX_ZONE_WARNING:Enabled 0.4466s: VX_ZONE_INIT:[tivxInit:185] Initialization Done !!! ************ TIDL_subgraphRtCreate done ************ Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name ********** Frame Index 1 : Running float inference ********** ************ in TIDL_subgraphRtDelete ************ MEM: Deinit ... !!! MEM: Alloc's: 29 alloc's of 820636057 bytes MEM: Free's : 29 free's of 820636057 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
Tool/software:
Setting:
EdgeAI SDK : 09_02_07_00
AM68PA/J721E (TDA4VM)
Hello Champs ,
I am trying to run a custom model on the TI platform, but the output results are not as expected. The model is getting executed in the delegate mode and able to get the results but with compilation model the output dimension is completely wrong, I have shared both the logs, model and the output.
Request your support to resolve this issue.
