tidl_tools_path = /workspace/edgeai-tidl-tools/tidl_tools artifacts_folder = ./artifacts/ tidl_tensor_bits = 8 debug_level = 1 num_tidl_subgraphs = 16 tidl_denylist = tidl_calibration_accuracy_level = 7 tidl_calibration_options:num_frames_calibration = 2 tidl_calibration_options:bias_calibration_iterations = 5 power_of_2_quantization = 2 enable_high_resolution_optimization = 0 pre_batchnorm_fold = 1 add_data_convert_ops = 0 output_feature_16bit_names_list = 370, 680, 990, 1300 m_params_16bit_names_list = reserved_compile_constraints_flag = 1601 ti_internal_reserved_1 = TIDL Meta PipeLine (Proto) File : ./yolov5s6_640_ti_lite_metaarch.prototxt yolo_v3 yolo_v3 Number of OD backbone nodes = 192 Size of odBackboneNodeIds = 192 Supported TIDL layer type --- Conv -- Conv_0 Supported TIDL layer type --- Relu -- Relu_1 Supported TIDL layer type --- Conv -- Conv_2 Supported TIDL layer type --- Relu -- Relu_3 Supported TIDL layer type --- Conv -- Conv_4 Supported TIDL layer type --- Relu -- Relu_5 Supported TIDL layer type --- Conv -- Conv_13 Supported TIDL layer type --- Relu -- Relu_14 Supported TIDL layer type --- Conv -- Conv_6 Supported TIDL layer type --- Relu -- Relu_7 Supported TIDL layer type --- Conv -- Conv_8 Supported TIDL layer type --- Relu -- Relu_9 Supported TIDL layer type --- Conv -- Conv_10 Supported TIDL layer type --- Relu -- Relu_11 Supported TIDL layer type --- Add -- Add_12 Supported TIDL layer type --- Concat -- Concat_15 Supported TIDL layer type --- Conv -- Conv_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_37 Supported TIDL layer type --- Relu -- Relu_38 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 --- Relu -- Relu_23 Supported TIDL layer type --- Conv -- Conv_24 Supported TIDL layer type --- Relu -- Relu_25 Supported TIDL layer type --- Add -- Add_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 --- Relu -- Relu_30 Supported TIDL layer type --- Add -- Add_31 Supported TIDL layer type --- Conv -- Conv_32 Supported TIDL layer type --- Relu -- Relu_33 Supported TIDL layer type --- Conv -- Conv_34 Supported TIDL layer type --- Relu -- Relu_35 Supported TIDL layer type --- Add -- Add_36 Supported TIDL layer type --- Concat -- Concat_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_61 Supported TIDL layer type --- Relu -- Relu_62 Supported TIDL layer type --- Conv -- Conv_44 Supported TIDL layer type --- Relu -- Relu_45 Supported TIDL layer type --- Conv -- Conv_46 Supported TIDL layer type --- Relu -- Relu_47 Supported TIDL layer type --- Conv -- Conv_48 Supported TIDL layer type --- Relu -- Relu_49 Supported TIDL layer type --- Add -- Add_50 Supported TIDL layer type --- Conv -- Conv_51 Supported TIDL layer type --- Relu -- Relu_52 Supported TIDL layer type --- Conv -- Conv_53 Supported TIDL layer type --- Relu -- Relu_54 Supported TIDL layer type --- Add -- Add_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 --- Relu -- Relu_59 Supported TIDL layer type --- Add -- Add_60 Supported TIDL layer type --- Concat -- Concat_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 --- Relu -- Relu_67 Supported TIDL layer type --- Conv -- Conv_75 Supported TIDL layer type --- Relu -- Relu_76 Supported TIDL layer type --- Conv -- Conv_68 Supported TIDL layer type --- Relu -- Relu_69 Supported TIDL layer type --- Conv -- Conv_70 Supported TIDL layer type --- Relu -- Relu_71 Supported TIDL layer type --- Conv -- Conv_72 Supported TIDL layer type --- Relu -- Relu_73 Supported TIDL layer type --- Add -- Add_74 Supported TIDL layer type --- Concat -- Concat_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 --- Relu -- Relu_81 Supported TIDL layer type --- Conv -- Conv_82 Supported TIDL layer type --- Relu -- Relu_83 Supported TIDL layer type --- MaxPool -- MaxPool_87 Supported TIDL layer type --- MaxPool -- MaxPool_88 Supported TIDL layer type --- MaxPool -- MaxPool_89 Supported TIDL layer type --- Concat -- Concat_90 Supported TIDL layer type --- Conv -- Conv_91 Supported TIDL layer type --- Relu -- Relu_92 Supported TIDL layer type --- Conv -- Conv_99 Supported TIDL layer type --- Relu -- Relu_100 Supported TIDL layer type --- Conv -- Conv_93 Supported TIDL layer type --- Relu -- Relu_94 Supported TIDL layer type --- Conv -- Conv_95 Supported TIDL layer type --- Relu -- Relu_96 Supported TIDL layer type --- Conv -- Conv_97 Supported TIDL layer type --- Relu -- Relu_98 Supported TIDL layer type --- Concat -- Concat_101 Supported TIDL layer type --- Conv -- Conv_102 Supported TIDL layer type --- Relu -- Relu_103 Supported TIDL layer type --- Conv -- Conv_104 Supported TIDL layer type --- Relu -- Relu_105 Supported TIDL layer type --- Resize -- Resize_107 Supported TIDL layer type --- Concat -- Concat_108 Supported TIDL layer type --- Conv -- Conv_115 Supported TIDL layer type --- Relu -- Relu_116 Supported TIDL layer type --- Conv -- Conv_109 Supported TIDL layer type --- Relu -- Relu_110 Supported TIDL layer type --- Conv -- Conv_111 Supported TIDL layer type --- Relu -- Relu_112 Supported TIDL layer type --- Conv -- Conv_113 Supported TIDL layer type --- Relu -- Relu_114 Supported TIDL layer type --- Concat -- Concat_117 Supported TIDL layer type --- Conv -- Conv_118 Supported TIDL layer type --- Relu -- Relu_119 Supported TIDL layer type --- Conv -- Conv_120 Supported TIDL layer type --- Relu -- Relu_121 Supported TIDL layer type --- Resize -- Resize_123 Supported TIDL layer type --- Concat -- Concat_124 Supported TIDL layer type --- Conv -- Conv_131 Supported TIDL layer type --- Relu -- Relu_132 Supported TIDL layer type --- Conv -- Conv_125 Supported TIDL layer type --- Relu -- Relu_126 Supported TIDL layer type --- Conv -- Conv_127 Supported TIDL layer type --- Relu -- Relu_128 Supported TIDL layer type --- Conv -- Conv_129 Supported TIDL layer type --- Relu -- Relu_130 Supported TIDL layer type --- Concat -- Concat_133 Supported TIDL layer type --- Conv -- Conv_134 Supported TIDL layer type --- Relu -- Relu_135 Supported TIDL layer type --- Conv -- Conv_136 Supported TIDL layer type --- Relu -- Relu_137 Supported TIDL layer type --- Resize -- Resize_139 Supported TIDL layer type --- Concat -- Concat_140 Supported TIDL layer type --- Conv -- Conv_147 Supported TIDL layer type --- Relu -- Relu_148 Supported TIDL layer type --- Conv -- Conv_141 Supported TIDL layer type --- Relu -- Relu_142 Supported TIDL layer type --- Conv -- Conv_143 Supported TIDL layer type --- Relu -- Relu_144 Supported TIDL layer type --- Conv -- Conv_145 Supported TIDL layer type --- Relu -- Relu_146 Supported TIDL layer type --- Concat -- Concat_149 Supported TIDL layer type --- Conv -- Conv_150 Supported TIDL layer type --- Relu -- Relu_151 Supported TIDL layer type --- Conv -- Conv_152 Supported TIDL layer type --- Relu -- Relu_153 Supported TIDL layer type --- Concat -- Concat_154 Supported TIDL layer type --- Conv -- Conv_161 Supported TIDL layer type --- Relu -- Relu_162 Supported TIDL layer type --- Conv -- Conv_155 Supported TIDL layer type --- Relu -- Relu_156 Supported TIDL layer type --- Conv -- Conv_157 Supported TIDL layer type --- Relu -- Relu_158 Supported TIDL layer type --- Conv -- Conv_159 Supported TIDL layer type --- Relu -- Relu_160 Supported TIDL layer type --- Concat -- Concat_163 Supported TIDL layer type --- Conv -- Conv_164 Supported TIDL layer type --- Relu -- Relu_165 Supported TIDL layer type --- Conv -- Conv_166 Supported TIDL layer type --- Relu -- Relu_167 Supported TIDL layer type --- Concat -- Concat_168 Supported TIDL layer type --- Conv -- Conv_175 Supported TIDL layer type --- Relu -- Relu_176 Supported TIDL layer type --- Conv -- Conv_169 Supported TIDL layer type --- Relu -- Relu_170 Supported TIDL layer type --- Conv -- Conv_171 Supported TIDL layer type --- Relu -- Relu_172 Supported TIDL layer type --- Conv -- Conv_173 Supported TIDL layer type --- Relu -- Relu_174 Supported TIDL layer type --- Concat -- Concat_177 Supported TIDL layer type --- Conv -- Conv_178 Supported TIDL layer type --- Relu -- Relu_179 Supported TIDL layer type --- Conv -- Conv_180 Supported TIDL layer type --- Relu -- Relu_181 Supported TIDL layer type --- Concat -- Concat_182 Supported TIDL layer type --- Conv -- Conv_189 Supported TIDL layer type --- Relu -- Relu_190 Supported TIDL layer type --- Conv -- Conv_183 Supported TIDL layer type --- Relu -- Relu_184 Supported TIDL layer type --- Conv -- Conv_185 Supported TIDL layer type --- Relu -- Relu_186 Supported TIDL layer type --- Conv -- Conv_187 Supported TIDL layer type --- Relu -- Relu_188 Supported TIDL layer type --- Concat -- Concat_191 Supported TIDL layer type --- Conv -- Conv_192 Supported TIDL layer type --- Relu -- Relu_193 Supported TIDL layer type --- Conv -- Conv_1082 Supported TIDL layer type --- Conv -- Conv_786 Supported TIDL layer type --- Conv -- Conv_490 Supported TIDL layer type --- Conv -- Conv_194 Preliminary subgraphs created = 1 Final number of subgraphs created are : 1, - Offloaded Nodes - 320, Total Nodes - 320 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. 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. 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 - /workspace/edgeai-tidl-tools/tidl_tools/tidl_graphVisualiser_runtimes.out ./artifacts//allowedNode.txt ./artifacts//tempDir/graphvizInfo.txt ./artifacts//tempDir/runtimes_visualization.svg *** In TIDL_createStateImportFunc *** Compute on node : TIDLExecutionProvider_TIDL_0_0 0, Conv, 3, 1, images, 167 1, Relu, 1, 1, 167, 168 2, Conv, 3, 1, 168, 169 3, Relu, 1, 1, 169, 170 4, Conv, 3, 1, 170, 171 5, Relu, 1, 1, 171, 172 6, Conv, 3, 1, 172, 173 7, Relu, 1, 1, 173, 174 8, Conv, 3, 1, 174, 175 9, Relu, 1, 1, 175, 176 10, Conv, 3, 1, 176, 177 11, Relu, 1, 1, 177, 178 12, Add, 2, 1, 174, 179 13, Conv, 3, 1, 172, 180 14, Relu, 1, 1, 180, 181 15, Concat, 2, 1, 179, 182 16, Conv, 3, 1, 182, 183 17, Relu, 1, 1, 183, 184 18, Conv, 3, 1, 184, 185 19, Relu, 1, 1, 185, 186 20, Conv, 3, 1, 186, 187 21, Relu, 1, 1, 187, 188 22, Conv, 3, 1, 188, 189 23, Relu, 1, 1, 189, 190 24, Conv, 3, 1, 190, 191 25, Relu, 1, 1, 191, 192 26, Add, 2, 1, 188, 193 27, Conv, 3, 1, 193, 194 28, Relu, 1, 1, 194, 195 29, Conv, 3, 1, 195, 196 30, Relu, 1, 1, 196, 197 31, Add, 2, 1, 193, 198 32, Conv, 3, 1, 198, 199 33, Relu, 1, 1, 199, 200 34, Conv, 3, 1, 200, 201 35, Relu, 1, 1, 201, 202 36, Add, 2, 1, 198, 203 37, Conv, 3, 1, 186, 204 38, Relu, 1, 1, 204, 205 39, Concat, 2, 1, 203, 206 40, Conv, 3, 1, 206, 207 41, Relu, 1, 1, 207, 208 42, Conv, 3, 1, 208, 209 43, Relu, 1, 1, 209, 210 44, Conv, 3, 1, 210, 211 45, Relu, 1, 1, 211, 212 46, Conv, 3, 1, 212, 213 47, Relu, 1, 1, 213, 214 48, Conv, 3, 1, 214, 215 49, Relu, 1, 1, 215, 216 50, Add, 2, 1, 212, 217 51, Conv, 3, 1, 217, 218 52, Relu, 1, 1, 218, 219 53, Conv, 3, 1, 219, 220 54, Relu, 1, 1, 220, 221 55, Add, 2, 1, 217, 222 56, Conv, 3, 1, 222, 223 57, Relu, 1, 1, 223, 224 58, Conv, 3, 1, 224, 225 59, Relu, 1, 1, 225, 226 60, Add, 2, 1, 222, 227 61, Conv, 3, 1, 210, 228 62, Relu, 1, 1, 228, 229 63, Concat, 2, 1, 227, 230 64, Conv, 3, 1, 230, 231 65, Relu, 1, 1, 231, 232 66, Conv, 3, 1, 232, 233 67, Relu, 1, 1, 233, 234 68, Conv, 3, 1, 234, 235 69, Relu, 1, 1, 235, 236 70, Conv, 3, 1, 236, 237 71, Relu, 1, 1, 237, 238 72, Conv, 3, 1, 238, 239 73, Relu, 1, 1, 239, 240 74, Add, 2, 1, 236, 241 75, Conv, 3, 1, 234, 242 76, Relu, 1, 1, 242, 243 77, Concat, 2, 1, 241, 244 78, Conv, 3, 1, 244, 245 79, Relu, 1, 1, 245, 246 80, Conv, 3, 1, 246, 247 81, Relu, 1, 1, 247, 248 82, Conv, 3, 1, 248, 249 83, Relu, 1, 1, 249, 250 84, MaxPool, 1, 1, 250, 254 85, MaxPool, 1, 1, 254, 255 86, MaxPool, 1, 1, 255, 256 87, Concat, 4, 1, 250, 257 88, Conv, 3, 1, 257, 258 89, Relu, 1, 1, 258, 259 90, Conv, 3, 1, 259, 260 91, Relu, 1, 1, 260, 261 92, Conv, 3, 1, 261, 262 93, Relu, 1, 1, 262, 263 94, Conv, 3, 1, 263, 264 95, Relu, 1, 1, 264, 265 96, Conv, 3, 1, 259, 266 97, Relu, 1, 1, 266, 267 98, Concat, 2, 1, 265, 268 99, Conv, 3, 1, 268, 269 100, Relu, 1, 1, 269, 270 101, Conv, 3, 1, 270, 271 102, Relu, 1, 1, 271, 272 103, Resize, 3, 1, 272, 277 104, Concat, 2, 1, 277, 278 105, Conv, 3, 1, 278, 279 106, Relu, 1, 1, 279, 280 107, Conv, 3, 1, 280, 281 108, Relu, 1, 1, 281, 282 109, Conv, 3, 1, 282, 283 110, Relu, 1, 1, 283, 284 111, Conv, 3, 1, 278, 285 112, Relu, 1, 1, 285, 286 113, Concat, 2, 1, 284, 287 114, Conv, 3, 1, 287, 288 115, Relu, 1, 1, 288, 289 116, Conv, 3, 1, 289, 290 117, Relu, 1, 1, 290, 291 118, Resize, 3, 1, 291, 296 119, Concat, 2, 1, 296, 297 120, Conv, 3, 1, 297, 298 121, Relu, 1, 1, 298, 299 122, Conv, 3, 1, 299, 300 123, Relu, 1, 1, 300, 301 124, Conv, 3, 1, 301, 302 125, Relu, 1, 1, 302, 303 126, Conv, 3, 1, 297, 304 127, Relu, 1, 1, 304, 305 128, Concat, 2, 1, 303, 306 129, Conv, 3, 1, 306, 307 130, Relu, 1, 1, 307, 308 131, Conv, 3, 1, 308, 309 132, Relu, 1, 1, 309, 310 133, Resize, 3, 1, 310, 315 134, Concat, 2, 1, 315, 316 135, Conv, 3, 1, 316, 317 136, Relu, 1, 1, 317, 318 137, Conv, 3, 1, 318, 319 138, Relu, 1, 1, 319, 320 139, Conv, 3, 1, 320, 321 140, Relu, 1, 1, 321, 322 141, Conv, 3, 1, 316, 323 142, Relu, 1, 1, 323, 324 143, Concat, 2, 1, 322, 325 144, Conv, 3, 1, 325, 326 145, Relu, 1, 1, 326, 327 146, Conv, 3, 1, 327, 370 147, Reshape, 2, 1, 370, 388 148, Transpose, 1, 1, 388, 389 149, Sigmoid, 1, 1, 389, 390 150, Slice, 5, 1, 390, 395 151, Mul, 2, 1, 395, 397 152, Sub, 2, 1, 397, 399 153, Add, 2, 1, 399, 401 154, Mul, 2, 1, 401, 403 155, Reshape, 2, 1, 403, 410 156, Expand, 2, 1, 410, 420 157, Reshape, 2, 1, 420, 530 158, ScatterND, 3, 1, 390, 531 159, Slice, 5, 1, 531, 536 160, Mul, 2, 1, 536, 538 161, Pow, 2, 1, 538, 541 162, Mul, 2, 1, 541, 544 163, Reshape, 2, 1, 544, 551 164, Expand, 2, 1, 551, 561 165, Reshape, 2, 1, 561, 671 166, ScatterND, 3, 1, 531, 672 167, Reshape, 2, 1, 672, 679 168, Conv, 3, 1, 327, 328 169, Relu, 1, 1, 328, 329 170, Concat, 2, 1, 329, 330 171, Conv, 3, 1, 330, 331 172, Relu, 1, 1, 331, 332 173, Conv, 3, 1, 332, 333 174, Relu, 1, 1, 333, 334 175, Conv, 3, 1, 334, 335 176, Relu, 1, 1, 335, 336 177, Conv, 3, 1, 330, 337 178, Relu, 1, 1, 337, 338 179, Concat, 2, 1, 336, 339 180, Conv, 3, 1, 339, 340 181, Relu, 1, 1, 340, 341 182, Conv, 3, 1, 341, 680 183, Reshape, 2, 1, 680, 698 184, Transpose, 1, 1, 698, 699 185, Sigmoid, 1, 1, 699, 700 186, Slice, 5, 1, 700, 705 187, Mul, 2, 1, 705, 707 188, Sub, 2, 1, 707, 709 189, Add, 2, 1, 709, 711 190, Mul, 2, 1, 711, 713 191, Reshape, 2, 1, 713, 720 192, Expand, 2, 1, 720, 730 193, Reshape, 2, 1, 730, 840 194, ScatterND, 3, 1, 700, 841 195, Slice, 5, 1, 841, 846 196, Mul, 2, 1, 846, 848 197, Pow, 2, 1, 848, 851 198, Mul, 2, 1, 851, 854 199, Reshape, 2, 1, 854, 861 200, Expand, 2, 1, 861, 871 201, Reshape, 2, 1, 871, 981 202, ScatterND, 3, 1, 841, 982 203, Reshape, 2, 1, 982, 989 204, Conv, 3, 1, 341, 342 205, Relu, 1, 1, 342, 343 206, Concat, 2, 1, 343, 344 207, Conv, 3, 1, 344, 345 208, Relu, 1, 1, 345, 346 209, Conv, 3, 1, 346, 347 210, Relu, 1, 1, 347, 348 211, Conv, 3, 1, 348, 349 212, Relu, 1, 1, 349, 350 213, Conv, 3, 1, 344, 351 214, Relu, 1, 1, 351, 352 215, Concat, 2, 1, 350, 353 216, Conv, 3, 1, 353, 354 217, Relu, 1, 1, 354, 355 218, Conv, 3, 1, 355, 990 219, Reshape, 2, 1, 990, 1008 220, Transpose, 1, 1, 1008, 1009 221, Sigmoid, 1, 1, 1009, 1010 222, Slice, 5, 1, 1010, 1015 223, Mul, 2, 1, 1015, 1017 224, Sub, 2, 1, 1017, 1019 225, Add, 2, 1, 1019, 1021 226, Mul, 2, 1, 1021, 1023 227, Reshape, 2, 1, 1023, 1030 228, Expand, 2, 1, 1030, 1040 229, Reshape, 2, 1, 1040, 1150 230, ScatterND, 3, 1, 1010, 1151 231, Slice, 5, 1, 1151, 1156 232, Mul, 2, 1, 1156, 1158 233, Pow, 2, 1, 1158, 1161 234, Mul, 2, 1, 1161, 1164 235, Reshape, 2, 1, 1164, 1171 236, Expand, 2, 1, 1171, 1181 237, Reshape, 2, 1, 1181, 1291 238, ScatterND, 3, 1, 1151, 1292 239, Reshape, 2, 1, 1292, 1299 240, Conv, 3, 1, 355, 356 241, Relu, 1, 1, 356, 357 242, Concat, 2, 1, 357, 358 243, Conv, 3, 1, 358, 359 244, Relu, 1, 1, 359, 360 245, Conv, 3, 1, 360, 361 246, Relu, 1, 1, 361, 362 247, Conv, 3, 1, 362, 363 248, Relu, 1, 1, 363, 364 249, Conv, 3, 1, 358, 365 250, Relu, 1, 1, 365, 366 251, Concat, 2, 1, 364, 367 252, Conv, 3, 1, 367, 368 253, Relu, 1, 1, 368, 369 254, Conv, 3, 1, 369, 1300 255, Reshape, 2, 1, 1300, 1318 256, Transpose, 1, 1, 1318, 1319 257, Sigmoid, 1, 1, 1319, 1320 258, Slice, 5, 1, 1320, 1325 259, Mul, 2, 1, 1325, 1327 260, Sub, 2, 1, 1327, 1329 261, Add, 2, 1, 1329, 1331 262, Mul, 2, 1, 1331, 1333 263, Reshape, 2, 1, 1333, 1340 264, Expand, 2, 1, 1340, 1350 265, Reshape, 2, 1, 1350, 1460 266, ScatterND, 3, 1, 1320, 1461 267, Slice, 5, 1, 1461, 1466 268, Mul, 2, 1, 1466, 1468 269, Pow, 2, 1, 1468, 1471 270, Mul, 2, 1, 1471, 1474 271, Reshape, 2, 1, 1474, 1481 272, Expand, 2, 1, 1481, 1491 273, Reshape, 2, 1, 1491, 1601 274, ScatterND, 3, 1, 1461, 1602 275, Reshape, 2, 1, 1602, 1609 276, Concat, 4, 1, 679, 1610 277, Split, 1, 1, 1610, 1616 278, Squeeze, 1, 1, 1616, 1617 279, Gather, 2, 1, 1610, 1612 280, Cast, 1, 1, 1612, 1613 281, Greater, 2, 1, 1613, 1615 282, Gather, 2, 1, 1615, 1619 283, NonZero, 1, 1, 1619, 1621 284, Transpose, 1, 1, 1621, 1622 285, Squeeze, 1, 1, 1622, 1623 286, Gather, 2, 1, 1617, 1624 287, Slice, 5, 1, 1624, 1629 288, Slice, 5, 1, 1624, 1639 289, Div, 2, 1, 1639, 1658 290, Sub, 2, 1, 1629, 1662 291, Slice, 5, 1, 1624, 1634 292, Slice, 5, 1, 1624, 1644 293, Div, 2, 1, 1644, 1661 294, Sub, 2, 1, 1634, 1663 295, Add, 2, 1, 1629, 1664 296, Add, 2, 1, 1634, 1665 297, Slice, 5, 1, 1624, 1649 298, Slice, 5, 1, 1624, 1654 299, Mul, 2, 1, 1649, 1655 300, ArgMax, 1, 1, 1655, 1668 301, Cast, 1, 1, 1668, 1669 302, ReduceMax, 1, 1, 1655, 1667 303, Concat, 6, 1, 1662, 1670 304, Reshape, 2, 1, 1667, 1672 305, Cast, 1, 1, 1672, 1673 306, Greater, 2, 1, 1673, 1675 307, NonZero, 1, 1, 1675, 1677 308, Transpose, 1, 1, 1677, 1678 309, Squeeze, 1, 1, 1678, 1679 310, Gather, 2, 1, 1670, 1680 311, Slice, 5, 1, 1680, 1685 312, Unsqueeze, 1, 1, 1685, 1688 313, Gather, 2, 1, 1680, 1687 314, Unsqueeze, 1, 1, 1687, 1689 315, Unsqueeze, 1, 1, 1689, 1690 316, NonMaxSuppression, 4, 1, 1688, 1693 317, Gather, 2, 1, 1693, 1695 318, Squeeze, 1, 1, 1695, 1696 319, Gather, 2, 1, 1680, detections Input tensor name - images Output tensor name - detections In TIDL_onnxRtImportInit subgraph_name=detections Layer 0, subgraph id detections, name=370 Layer 1, subgraph id detections, name=680 Layer 2, subgraph id detections, name=990 Layer 3, subgraph id detections, name=1300 Layer 4, subgraph id detections, name=images TIDL Meta PipeLine (Proto) File : ./yolov5s6_640_ti_lite_metaarch.prototxt yolo_v3 yolo_v3 In TIDL_runtimesOptimizeNet: LayerIndex = 197, dataIndex = 193 ************** Frame index 1 : Running float import ************* In TIDL_runtimesPostProcessNet INFORMATION: [TIDL_ResizeLayer] Resize_107 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. INFORMATION: [TIDL_ResizeLayer] Resize_123 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. INFORMATION: [TIDL_ResizeLayer] Resize_139 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. WARNING: [TIDL_E_DATAFLOW_INFO_NULL] ti_cnnperfsim.out fails to allocate memory in MSMC. Please look into perfsim log. This model can only be used on PC emulation, it will get fault on target. **************************************************** ** 4 WARNINGS 0 ERRORS ** **************************************************** ************ in TIDL_subgraphRtCreate ************ 0.0s: VX_ZONE_INIT:Enabled 0.4s: VX_ZONE_ERROR:Enabled 0.5s: VX_ZONE_WARNING:Enabled 0.1215s: VX_ZONE_INIT:[tivxInit:178] Initialization Done !!! ************ TIDL_subgraphRtCreate done ************ ******* In TIDL_subgraphRtInvoke ******** Network Cycles 0 Layer, Layer Cycles,kernelOnlyCycles, coreLoopCycles,LayerSetupCycles,dmaPipeupCycles, dmaPipeDownCycles, PrefetchCycles,copyKerCoeffCycles,LayerDeinitCycles,LastBlockCycles, paddingTrigger, paddingWait,LayerWithoutPad,LayerHandleCopy, BackupCycles, RestoreCycles, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 59, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 61, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 67, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 69, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 71, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 73, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 75, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 77, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 79, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 81, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 83, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 87, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 93, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 94, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 97, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 99, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 103, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 106, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 107, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 109, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 111, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 113, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 115, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, Sum of Layer Cycles 0 Sub Graph Stats 931.000000 13220063.000000 51.000000 ******* TIDL_subgraphRtInvoke done ******** ********** Frame Index 1 : Running float inference ********** ************ in TIDL_subgraphRtDelete ************ tidl_tools_path = /workspace/edgeai-tidl-tools/tidl_tools artifacts_folder = ./artifacts/ tidl_tensor_bits = 8 debug_level = 1 num_tidl_subgraphs = 16 tidl_denylist = tidl_calibration_accuracy_level = 7 tidl_calibration_options:num_frames_calibration = 2 tidl_calibration_options:bias_calibration_iterations = 5 power_of_2_quantization = 2 enable_high_resolution_optimization = 0 pre_batchnorm_fold = 1 add_data_convert_ops = 0 output_feature_16bit_names_list = 370, 680, 990, 1300 m_params_16bit_names_list = reserved_compile_constraints_flag = 1601 ti_internal_reserved_1 = TIDL Meta PipeLine (Proto) File : ./yolov5s6_640_ti_lite_metaarch.prototxt yolo_v3 yolo_v3 Number of OD backbone nodes = 192 Size of odBackboneNodeIds = 192 Supported TIDL layer type --- Conv -- Conv_0 Supported TIDL layer type --- Relu -- Relu_1 Supported TIDL layer type --- Conv -- Conv_2 Supported TIDL layer type --- Relu -- Relu_3 Supported TIDL layer type --- Conv -- Conv_4 Supported TIDL layer type --- Relu -- Relu_5 Supported TIDL layer type --- Conv -- Conv_13 Supported TIDL layer type --- Relu -- Relu_14 Supported TIDL layer type --- Conv -- Conv_6 Supported TIDL layer type --- Relu -- Relu_7 Supported TIDL layer type --- Conv -- Conv_8 Supported TIDL layer type --- Relu -- Relu_9 Supported TIDL layer type --- Conv -- Conv_10 Supported TIDL layer type --- Relu -- Relu_11 Supported TIDL layer type --- Add -- Add_12 Supported TIDL layer type --- Concat -- Concat_15 Supported TIDL layer type --- Conv -- Conv_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_37 Supported TIDL layer type --- Relu -- Relu_38 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 --- Relu -- Relu_23 Supported TIDL layer type --- Conv -- Conv_24 Supported TIDL layer type --- Relu -- Relu_25 Supported TIDL layer type --- Add -- Add_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 --- Relu -- Relu_30 Supported TIDL layer type --- Add -- Add_31 Supported TIDL layer type --- Conv -- Conv_32 Supported TIDL layer type --- Relu -- Relu_33 Supported TIDL layer type --- Conv -- Conv_34 Supported TIDL layer type --- Relu -- Relu_35 Supported TIDL layer type --- Add -- Add_36 Supported TIDL layer type --- Concat -- Concat_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_61 Supported TIDL layer type --- Relu -- Relu_62 Supported TIDL layer type --- Conv -- Conv_44 Supported TIDL layer type --- Relu -- Relu_45 Supported TIDL layer type --- Conv -- Conv_46 Supported TIDL layer type --- Relu -- Relu_47 Supported TIDL layer type --- Conv -- Conv_48 Supported TIDL layer type --- Relu -- Relu_49 Supported TIDL layer type --- Add -- Add_50 Supported TIDL layer type --- Conv -- Conv_51 Supported TIDL layer type --- Relu -- Relu_52 Supported TIDL layer type --- Conv -- Conv_53 Supported TIDL layer type --- Relu -- Relu_54 Supported TIDL layer type --- Add -- Add_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 --- Relu -- Relu_59 Supported TIDL layer type --- Add -- Add_60 Supported TIDL layer type --- Concat -- Concat_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 --- Relu -- Relu_67 Supported TIDL layer type --- Conv -- Conv_75 Supported TIDL layer type --- Relu -- Relu_76 Supported TIDL layer type --- Conv -- Conv_68 Supported TIDL layer type --- Relu -- Relu_69 Supported TIDL layer type --- Conv -- Conv_70 Supported TIDL layer type --- Relu -- Relu_71 Supported TIDL layer type --- Conv -- Conv_72 Supported TIDL layer type --- Relu -- Relu_73 Supported TIDL layer type --- Add -- Add_74 Supported TIDL layer type --- Concat -- Concat_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 --- Relu -- Relu_81 Supported TIDL layer type --- Conv -- Conv_82 Supported TIDL layer type --- Relu -- Relu_83 Supported TIDL layer type --- MaxPool -- MaxPool_87 Supported TIDL layer type --- MaxPool -- MaxPool_88 Supported TIDL layer type --- MaxPool -- MaxPool_89 Supported TIDL layer type --- Concat -- Concat_90 Supported TIDL layer type --- Conv -- Conv_91 Supported TIDL layer type --- Relu -- Relu_92 Supported TIDL layer type --- Conv -- Conv_99 Supported TIDL layer type --- Relu -- Relu_100 Supported TIDL layer type --- Conv -- Conv_93 Supported TIDL layer type --- Relu -- Relu_94 Supported TIDL layer type --- Conv -- Conv_95 Supported TIDL layer type --- Relu -- Relu_96 Supported TIDL layer type --- Conv -- Conv_97 Supported TIDL layer type --- Relu -- Relu_98 Supported TIDL layer type --- Concat -- Concat_101 Supported TIDL layer type --- Conv -- Conv_102 Supported TIDL layer type --- Relu -- Relu_103 Supported TIDL layer type --- Conv -- Conv_104 Supported TIDL layer type --- Relu -- Relu_105 Supported TIDL layer type --- Resize -- Resize_107 Supported TIDL layer type --- Concat -- Concat_108 Supported TIDL layer type --- Conv -- Conv_115 Supported TIDL layer type --- Relu -- Relu_116 Supported TIDL layer type --- Conv -- Conv_109 Supported TIDL layer type --- Relu -- Relu_110 Supported TIDL layer type --- Conv -- Conv_111 Supported TIDL layer type --- Relu -- Relu_112 Supported TIDL layer type --- Conv -- Conv_113 Supported TIDL layer type --- Relu -- Relu_114 Supported TIDL layer type --- Concat -- Concat_117 Supported TIDL layer type --- Conv -- Conv_118 Supported TIDL layer type --- Relu -- Relu_119 Supported TIDL layer type --- Conv -- Conv_120 Supported TIDL layer type --- Relu -- Relu_121 Supported TIDL layer type --- Resize -- Resize_123 Supported TIDL layer type --- Concat -- Concat_124 Supported TIDL layer type --- Conv -- Conv_131 Supported TIDL layer type --- Relu -- Relu_132 Supported TIDL layer type --- Conv -- Conv_125 Supported TIDL layer type --- Relu -- Relu_126 Supported TIDL layer type --- Conv -- Conv_127 Supported TIDL layer type --- Relu -- Relu_128 Supported TIDL layer type --- Conv -- Conv_129 Supported TIDL layer type --- Relu -- Relu_130 Supported TIDL layer type --- Concat -- Concat_133 Supported TIDL layer type --- Conv -- Conv_134 Supported TIDL layer type --- Relu -- Relu_135 Supported TIDL layer type --- Conv -- Conv_136 Supported TIDL layer type --- Relu -- Relu_137 Supported TIDL layer type --- Resize -- Resize_139 Supported TIDL layer type --- Concat -- Concat_140 Supported TIDL layer type --- Conv -- Conv_147 Supported TIDL layer type --- Relu -- Relu_148 Supported TIDL layer type --- Conv -- Conv_141 Supported TIDL layer type --- Relu -- Relu_142 Supported TIDL layer type --- Conv -- Conv_143 Supported TIDL layer type --- Relu -- Relu_144 Supported TIDL layer type --- Conv -- Conv_145 Supported TIDL layer type --- Relu -- Relu_146 Supported TIDL layer type --- Concat -- Concat_149 Supported TIDL layer type --- Conv -- Conv_150 Supported TIDL layer type --- Relu -- Relu_151 Supported TIDL layer type --- Conv -- Conv_152 Supported TIDL layer type --- Relu -- Relu_153 Supported TIDL layer type --- Concat -- Concat_154 Supported TIDL layer type --- Conv -- Conv_161 Supported TIDL layer type --- Relu -- Relu_162 Supported TIDL layer type --- Conv -- Conv_155 Supported TIDL layer type --- Relu -- Relu_156 Supported TIDL layer type --- Conv -- Conv_157 Supported TIDL layer type --- Relu -- Relu_158 Supported TIDL layer type --- Conv -- Conv_159 Supported TIDL layer type --- Relu -- Relu_160 Supported TIDL layer type --- Concat -- Concat_163 Supported TIDL layer type --- Conv -- Conv_164 Supported TIDL layer type --- Relu -- Relu_165 Supported TIDL layer type --- Conv -- Conv_166 Supported TIDL layer type --- Relu -- Relu_167 Supported TIDL layer type --- Concat -- Concat_168 Supported TIDL layer type --- Conv -- Conv_175 Supported TIDL layer type --- Relu -- Relu_176 Supported TIDL layer type --- Conv -- Conv_169 Supported TIDL layer type --- Relu -- Relu_170 Supported TIDL layer type --- Conv -- Conv_171 Supported TIDL layer type --- Relu -- Relu_172 Supported TIDL layer type --- Conv -- Conv_173 Supported TIDL layer type --- Relu -- Relu_174 Supported TIDL layer type --- Concat -- Concat_177 Supported TIDL layer type --- Conv -- Conv_178 Supported TIDL layer type --- Relu -- Relu_179 Supported TIDL layer type --- Conv -- Conv_180 Supported TIDL layer type --- Relu -- Relu_181 Supported TIDL layer type --- Concat -- Concat_182 Supported TIDL layer type --- Conv -- Conv_189 Supported TIDL layer type --- Relu -- Relu_190 Supported TIDL layer type --- Conv -- Conv_183 Supported TIDL layer type --- Relu -- Relu_184 Supported TIDL layer type --- Conv -- Conv_185 Supported TIDL layer type --- Relu -- Relu_186 Supported TIDL layer type --- Conv -- Conv_187 Supported TIDL layer type --- Relu -- Relu_188 Supported TIDL layer type --- Concat -- Concat_191 Supported TIDL layer type --- Conv -- Conv_192 Supported TIDL layer type --- Relu -- Relu_193 Supported TIDL layer type --- Conv -- Conv_1082 Supported TIDL layer type --- Conv -- Conv_786 Supported TIDL layer type --- Conv -- Conv_490 Supported TIDL layer type --- Conv -- Conv_194 Preliminary subgraphs created = 1 Final number of subgraphs created are : 1, - Offloaded Nodes - 320, Total Nodes - 320 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. 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. 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 - /workspace/edgeai-tidl-tools/tidl_tools/tidl_graphVisualiser_runtimes.out ./artifacts//allowedNode.txt ./artifacts//tempDir/graphvizInfo.txt ./artifacts//tempDir/runtimes_visualization.svg *** In TIDL_createStateImportFunc *** Compute on node : TIDLExecutionProvider_TIDL_0_0 0, Conv, 3, 1, images, 167 1, Relu, 1, 1, 167, 168 2, Conv, 3, 1, 168, 169 3, Relu, 1, 1, 169, 170 4, Conv, 3, 1, 170, 171 5, Relu, 1, 1, 171, 172 6, Conv, 3, 1, 172, 173 7, Relu, 1, 1, 173, 174 8, Conv, 3, 1, 174, 175 9, Relu, 1, 1, 175, 176 10, Conv, 3, 1, 176, 177 11, Relu, 1, 1, 177, 178 12, Add, 2, 1, 174, 179 13, Conv, 3, 1, 172, 180 14, Relu, 1, 1, 180, 181 15, Concat, 2, 1, 179, 182 16, Conv, 3, 1, 182, 183 17, Relu, 1, 1, 183, 184 18, Conv, 3, 1, 184, 185 19, Relu, 1, 1, 185, 186 20, Conv, 3, 1, 186, 187 21, Relu, 1, 1, 187, 188 22, Conv, 3, 1, 188, 189 23, Relu, 1, 1, 189, 190 24, Conv, 3, 1, 190, 191 25, Relu, 1, 1, 191, 192 26, Add, 2, 1, 188, 193 27, Conv, 3, 1, 193, 194 28, Relu, 1, 1, 194, 195 29, Conv, 3, 1, 195, 196 30, Relu, 1, 1, 196, 197 31, Add, 2, 1, 193, 198 32, Conv, 3, 1, 198, 199 33, Relu, 1, 1, 199, 200 34, Conv, 3, 1, 200, 201 35, Relu, 1, 1, 201, 202 36, Add, 2, 1, 198, 203 37, Conv, 3, 1, 186, 204 38, Relu, 1, 1, 204, 205 39, Concat, 2, 1, 203, 206 40, Conv, 3, 1, 206, 207 41, Relu, 1, 1, 207, 208 42, Conv, 3, 1, 208, 209 43, Relu, 1, 1, 209, 210 44, Conv, 3, 1, 210, 211 45, Relu, 1, 1, 211, 212 46, Conv, 3, 1, 212, 213 47, Relu, 1, 1, 213, 214 48, Conv, 3, 1, 214, 215 49, Relu, 1, 1, 215, 216 50, Add, 2, 1, 212, 217 51, Conv, 3, 1, 217, 218 52, Relu, 1, 1, 218, 219 53, Conv, 3, 1, 219, 220 54, Relu, 1, 1, 220, 221 55, Add, 2, 1, 217, 222 56, Conv, 3, 1, 222, 223 57, Relu, 1, 1, 223, 224 58, Conv, 3, 1, 224, 225 59, Relu, 1, 1, 225, 226 60, Add, 2, 1, 222, 227 61, Conv, 3, 1, 210, 228 62, Relu, 1, 1, 228, 229 63, Concat, 2, 1, 227, 230 64, Conv, 3, 1, 230, 231 65, Relu, 1, 1, 231, 232 66, Conv, 3, 1, 232, 233 67, Relu, 1, 1, 233, 234 68, Conv, 3, 1, 234, 235 69, Relu, 1, 1, 235, 236 70, Conv, 3, 1, 236, 237 71, Relu, 1, 1, 237, 238 72, Conv, 3, 1, 238, 239 73, Relu, 1, 1, 239, 240 74, Add, 2, 1, 236, 241 75, Conv, 3, 1, 234, 242 76, Relu, 1, 1, 242, 243 77, Concat, 2, 1, 241, 244 78, Conv, 3, 1, 244, 245 79, Relu, 1, 1, 245, 246 80, Conv, 3, 1, 246, 247 81, Relu, 1, 1, 247, 248 82, Conv, 3, 1, 248, 249 83, Relu, 1, 1, 249, 250 84, MaxPool, 1, 1, 250, 254 85, MaxPool, 1, 1, 254, 255 86, MaxPool, 1, 1, 255, 256 87, Concat, 4, 1, 250, 257 88, Conv, 3, 1, 257, 258 89, Relu, 1, 1, 258, 259 90, Conv, 3, 1, 259, 260 91, Relu, 1, 1, 260, 261 92, Conv, 3, 1, 261, 262 93, Relu, 1, 1, 262, 263 94, Conv, 3, 1, 263, 264 95, Relu, 1, 1, 264, 265 96, Conv, 3, 1, 259, 266 97, Relu, 1, 1, 266, 267 98, Concat, 2, 1, 265, 268 99, Conv, 3, 1, 268, 269 100, Relu, 1, 1, 269, 270 101, Conv, 3, 1, 270, 271 102, Relu, 1, 1, 271, 272 103, Resize, 3, 1, 272, 277 104, Concat, 2, 1, 277, 278 105, Conv, 3, 1, 278, 279 106, Relu, 1, 1, 279, 280 107, Conv, 3, 1, 280, 281 108, Relu, 1, 1, 281, 282 109, Conv, 3, 1, 282, 283 110, Relu, 1, 1, 283, 284 111, Conv, 3, 1, 278, 285 112, Relu, 1, 1, 285, 286 113, Concat, 2, 1, 284, 287 114, Conv, 3, 1, 287, 288 115, Relu, 1, 1, 288, 289 116, Conv, 3, 1, 289, 290 117, Relu, 1, 1, 290, 291 118, Resize, 3, 1, 291, 296 119, Concat, 2, 1, 296, 297 120, Conv, 3, 1, 297, 298 121, Relu, 1, 1, 298, 299 122, Conv, 3, 1, 299, 300 123, Relu, 1, 1, 300, 301 124, Conv, 3, 1, 301, 302 125, Relu, 1, 1, 302, 303 126, Conv, 3, 1, 297, 304 127, Relu, 1, 1, 304, 305 128, Concat, 2, 1, 303, 306 129, Conv, 3, 1, 306, 307 130, Relu, 1, 1, 307, 308 131, Conv, 3, 1, 308, 309 132, Relu, 1, 1, 309, 310 133, Resize, 3, 1, 310, 315 134, Concat, 2, 1, 315, 316 135, Conv, 3, 1, 316, 317 136, Relu, 1, 1, 317, 318 137, Conv, 3, 1, 318, 319 138, Relu, 1, 1, 319, 320 139, Conv, 3, 1, 320, 321 140, Relu, 1, 1, 321, 322 141, Conv, 3, 1, 316, 323 142, Relu, 1, 1, 323, 324 143, Concat, 2, 1, 322, 325 144, Conv, 3, 1, 325, 326 145, Relu, 1, 1, 326, 327 146, Conv, 3, 1, 327, 370 147, Reshape, 2, 1, 370, 388 148, Transpose, 1, 1, 388, 389 149, Sigmoid, 1, 1, 389, 390 150, Slice, 5, 1, 390, 395 151, Mul, 2, 1, 395, 397 152, Sub, 2, 1, 397, 399 153, Add, 2, 1, 399, 401 154, Mul, 2, 1, 401, 403 155, Reshape, 2, 1, 403, 410 156, Expand, 2, 1, 410, 420 157, Reshape, 2, 1, 420, 530 158, ScatterND, 3, 1, 390, 531 159, Slice, 5, 1, 531, 536 160, Mul, 2, 1, 536, 538 161, Pow, 2, 1, 538, 541 162, Mul, 2, 1, 541, 544 163, Reshape, 2, 1, 544, 551 164, Expand, 2, 1, 551, 561 165, Reshape, 2, 1, 561, 671 166, ScatterND, 3, 1, 531, 672 167, Reshape, 2, 1, 672, 679 168, Conv, 3, 1, 327, 328 169, Relu, 1, 1, 328, 329 170, Concat, 2, 1, 329, 330 171, Conv, 3, 1, 330, 331 172, Relu, 1, 1, 331, 332 173, Conv, 3, 1, 332, 333 174, Relu, 1, 1, 333, 334 175, Conv, 3, 1, 334, 335 176, Relu, 1, 1, 335, 336 177, Conv, 3, 1, 330, 337 178, Relu, 1, 1, 337, 338 179, Concat, 2, 1, 336, 339 180, Conv, 3, 1, 339, 340 181, Relu, 1, 1, 340, 341 182, Conv, 3, 1, 341, 680 183, Reshape, 2, 1, 680, 698 184, Transpose, 1, 1, 698, 699 185, Sigmoid, 1, 1, 699, 700 186, Slice, 5, 1, 700, 705 187, Mul, 2, 1, 705, 707 188, Sub, 2, 1, 707, 709 189, Add, 2, 1, 709, 711 190, Mul, 2, 1, 711, 713 191, Reshape, 2, 1, 713, 720 192, Expand, 2, 1, 720, 730 193, Reshape, 2, 1, 730, 840 194, ScatterND, 3, 1, 700, 841 195, Slice, 5, 1, 841, 846 196, Mul, 2, 1, 846, 848 197, Pow, 2, 1, 848, 851 198, Mul, 2, 1, 851, 854 199, Reshape, 2, 1, 854, 861 200, Expand, 2, 1, 861, 871 201, Reshape, 2, 1, 871, 981 202, ScatterND, 3, 1, 841, 982 203, Reshape, 2, 1, 982, 989 204, Conv, 3, 1, 341, 342 205, Relu, 1, 1, 342, 343 206, Concat, 2, 1, 343, 344 207, Conv, 3, 1, 344, 345 208, Relu, 1, 1, 345, 346 209, Conv, 3, 1, 346, 347 210, Relu, 1, 1, 347, 348 211, Conv, 3, 1, 348, 349 212, Relu, 1, 1, 349, 350 213, Conv, 3, 1, 344, 351 214, Relu, 1, 1, 351, 352 215, Concat, 2, 1, 350, 353 216, Conv, 3, 1, 353, 354 217, Relu, 1, 1, 354, 355 218, Conv, 3, 1, 355, 990 219, Reshape, 2, 1, 990, 1008 220, Transpose, 1, 1, 1008, 1009 221, Sigmoid, 1, 1, 1009, 1010 222, Slice, 5, 1, 1010, 1015 223, Mul, 2, 1, 1015, 1017 224, Sub, 2, 1, 1017, 1019 225, Add, 2, 1, 1019, 1021 226, Mul, 2, 1, 1021, 1023 227, Reshape, 2, 1, 1023, 1030 228, Expand, 2, 1, 1030, 1040 229, Reshape, 2, 1, 1040, 1150 230, ScatterND, 3, 1, 1010, 1151 231, Slice, 5, 1, 1151, 1156 232, Mul, 2, 1, 1156, 1158 233, Pow, 2, 1, 1158, 1161 234, Mul, 2, 1, 1161, 1164 235, Reshape, 2, 1, 1164, 1171 236, Expand, 2, 1, 1171, 1181 237, Reshape, 2, 1, 1181, 1291 238, ScatterND, 3, 1, 1151, 1292 239, Reshape, 2, 1, 1292, 1299 240, Conv, 3, 1, 355, 356 241, Relu, 1, 1, 356, 357 242, Concat, 2, 1, 357, 358 243, Conv, 3, 1, 358, 359 244, Relu, 1, 1, 359, 360 245, Conv, 3, 1, 360, 361 246, Relu, 1, 1, 361, 362 247, Conv, 3, 1, 362, 363 248, Relu, 1, 1, 363, 364 249, Conv, 3, 1, 358, 365 250, Relu, 1, 1, 365, 366 251, Concat, 2, 1, 364, 367 252, Conv, 3, 1, 367, 368 253, Relu, 1, 1, 368, 369 254, Conv, 3, 1, 369, 1300 255, Reshape, 2, 1, 1300, 1318 256, Transpose, 1, 1, 1318, 1319 257, Sigmoid, 1, 1, 1319, 1320 258, Slice, 5, 1, 1320, 1325 259, Mul, 2, 1, 1325, 1327 260, Sub, 2, 1, 1327, 1329 261, Add, 2, 1, 1329, 1331 262, Mul, 2, 1, 1331, 1333 263, Reshape, 2, 1, 1333, 1340 264, Expand, 2, 1, 1340, 1350 265, Reshape, 2, 1, 1350, 1460 266, ScatterND, 3, 1, 1320, 1461 267, Slice, 5, 1, 1461, 1466 268, Mul, 2, 1, 1466, 1468 269, Pow, 2, 1, 1468, 1471 270, Mul, 2, 1, 1471, 1474 271, Reshape, 2, 1, 1474, 1481 272, Expand, 2, 1, 1481, 1491 273, Reshape, 2, 1, 1491, 1601 274, ScatterND, 3, 1, 1461, 1602 275, Reshape, 2, 1, 1602, 1609 276, Concat, 4, 1, 679, 1610 277, Split, 1, 1, 1610, 1616 278, Squeeze, 1, 1, 1616, 1617 279, Gather, 2, 1, 1610, 1612 280, Cast, 1, 1, 1612, 1613 281, Greater, 2, 1, 1613, 1615 282, Gather, 2, 1, 1615, 1619 283, NonZero, 1, 1, 1619, 1621 284, Transpose, 1, 1, 1621, 1622 285, Squeeze, 1, 1, 1622, 1623 286, Gather, 2, 1, 1617, 1624 287, Slice, 5, 1, 1624, 1629 288, Slice, 5, 1, 1624, 1639 289, Div, 2, 1, 1639, 1658 290, Sub, 2, 1, 1629, 1662 291, Slice, 5, 1, 1624, 1634 292, Slice, 5, 1, 1624, 1644 293, Div, 2, 1, 1644, 1661 294, Sub, 2, 1, 1634, 1663 295, Add, 2, 1, 1629, 1664 296, Add, 2, 1, 1634, 1665 297, Slice, 5, 1, 1624, 1649 298, Slice, 5, 1, 1624, 1654 299, Mul, 2, 1, 1649, 1655 300, ArgMax, 1, 1, 1655, 1668 301, Cast, 1, 1, 1668, 1669 302, ReduceMax, 1, 1, 1655, 1667 303, Concat, 6, 1, 1662, 1670 304, Reshape, 2, 1, 1667, 1672 305, Cast, 1, 1, 1672, 1673 306, Greater, 2, 1, 1673, 1675 307, NonZero, 1, 1, 1675, 1677 308, Transpose, 1, 1, 1677, 1678 309, Squeeze, 1, 1, 1678, 1679 310, Gather, 2, 1, 1670, 1680 311, Slice, 5, 1, 1680, 1685 312, Unsqueeze, 1, 1, 1685, 1688 313, Gather, 2, 1, 1680, 1687 314, Unsqueeze, 1, 1, 1687, 1689 315, Unsqueeze, 1, 1, 1689, 1690 316, NonMaxSuppression, 4, 1, 1688, 1693 317, Gather, 2, 1, 1693, 1695 318, Squeeze, 1, 1, 1695, 1696 319, Gather, 2, 1, 1680, detections Input tensor name - images Output tensor name - detections In TIDL_onnxRtImportInit subgraph_name=detections Layer 0, subgraph id detections, name=370 Layer 1, subgraph id detections, name=680 Layer 2, subgraph id detections, name=990 Layer 3, subgraph id detections, name=1300 Layer 4, subgraph id detections, name=images TIDL Meta PipeLine (Proto) File : ./yolov5s6_640_ti_lite_metaarch.prototxt yolo_v3 yolo_v3 In TIDL_runtimesOptimizeNet: LayerIndex = 197, dataIndex = 193 ************** Frame index 1 : Running float import ************* In TIDL_runtimesPostProcessNet INFORMATION: [TIDL_ResizeLayer] Resize_107 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. INFORMATION: [TIDL_ResizeLayer] Resize_123 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. INFORMATION: [TIDL_ResizeLayer] Resize_139 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. WARNING: [TIDL_E_DATAFLOW_INFO_NULL] ti_cnnperfsim.out fails to allocate memory in MSMC. Please look into perfsim log. This model can only be used on PC emulation, it will get fault on target. **************************************************** ** 4 WARNINGS 0 ERRORS ** **************************************************** ************ in TIDL_subgraphRtCreate ************ 0.0s: VX_ZONE_INIT:Enabled 0.5s: VX_ZONE_ERROR:Enabled 0.6s: VX_ZONE_WARNING:Enabled 0.1199s: VX_ZONE_INIT:[tivxInit:178] Initialization Done !!! ************ TIDL_subgraphRtCreate done ************ ******* In TIDL_subgraphRtInvoke ******** Network Cycles 0 Layer, Layer Cycles,kernelOnlyCycles, coreLoopCycles,LayerSetupCycles,dmaPipeupCycles, dmaPipeDownCycles, PrefetchCycles,copyKerCoeffCycles,LayerDeinitCycles,LastBlockCycles, paddingTrigger, paddingWait,LayerWithoutPad,LayerHandleCopy, BackupCycles, RestoreCycles, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 110, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 111, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 113, 0, 0, 0, 0, 0, 0, Processing config file #0 : /workspace/edgeai-tidl-tools/yolov5_onnx_0728/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. T 13003.18 .... ..... ... .... ..... # 1 . .. T 13066.02 .... ..... ... .... ..... Processing config file #0 : /workspace/edgeai-tidl-tools/yolov5_onnx_0728/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. T 7798.18 .... ..... ... .... ..... # 1 . .. T 7926.04 .... ..... ... .... ..... Processing config file #0 : /workspace/edgeai-tidl-tools/yolov5_onnx_0728/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. T 7610.70 .... ..... ... .... ..... # 1 . .. T 7583.18 .... ..... ... .... ..... Processing config file #0 : /workspace/edgeai-tidl-tools/yolov5_onnx_0728/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. T 7861.47 .... ..... ... .... ..... # 1 . .. T 7622.07 .... ..... ... .... ..... Processing config file #0 : /workspace/edgeai-tidl-tools/yolov5_onnx_0728/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. T 7920.60 .... ..... ... .... ..... # 1 . .. T 7612.81 .... ..... ... .... ..... Processing config file #0 : /workspace/edgeai-tidl-tools/yolov5_onnx_0728/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. T 7630.91 .... ..... ... .... ..... # 1 . .. T 7601.64 .... ..... ... .... ..... ------------------ Network Compiler Traces ----------------------------- successful Memory allocation 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 115, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, Sum of Layer Cycles 0 Sub Graph Stats 2329.000000 13064874.000000 45.000000 ******* TIDL_subgraphRtInvoke done ******** ********** Frame Index 2 : Running fixed point mode for calibration ********** In TIDL_runtimesPostProcessNet ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ ***************** Calibration iteration number 0 completed ************************ ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ ***************** Calibration iteration number 1 completed ************************ ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ ***************** Calibration iteration number 2 completed ************************ ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ ***************** Calibration iteration number 3 completed ************************ ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ ***************** Calibration iteration number 4 completed ************************ substitute string tidl_net_ not found INFORMATION: [TIDL_ResizeLayer] Resize_107 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. INFORMATION: [TIDL_ResizeLayer] Resize_123 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. INFORMATION: [TIDL_ResizeLayer] Resize_139 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_subgraphRtDelete ************