tidl_tools_path = /home/jeff/XAG_working/TI/edgeai-tidl-tools/tidl_tools artifacts_folder = /home/jeff/XAG_working/TI/edgeai-tidl-tools/model-artifacts/yolov5s6_ti_lite_640_weedDetect/ tidl_tensor_bits = 8 debug_level = 3 num_tidl_subgraphs = 16 tidl_denylist = tidl_calibration_accuracy_level = 7 tidl_calibration_options:num_frames_calibration = 10 tidl_calibration_options:bias_calibration_iterations = 50 power_of_2_quantization = 2 enable_high_resolution_optimization = 0 pre_batchnorm_fold = 1 add_data_convert_ops = 3 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 : /home/jeff/XAG_working/TI/edgeai-tidl-tools/models/yolov5s6_ti_lite_640_weedDetect/best.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_338 Supported TIDL layer type --- Conv -- Conv_290 Supported TIDL layer type --- Conv -- Conv_242 Supported TIDL layer type --- Conv -- Conv_194 Preliminary subgraphs created = 1 Final number of subgraphs created are : 1, - Offloaded Nodes - 295, Total Nodes - 295 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 - /home/jeff/XAG_working/TI/edgeai-tidl-tools/tidl_tools/tidl_graphVisualiser_runtimes.out /home/jeff/XAG_working/TI/edgeai-tidl-tools/model-artifacts/yolov5s6_ti_lite_640_weedDetect//allowedNode.txt /home/jeff/XAG_working/TI/edgeai-tidl-tools/model-artifacts/yolov5s6_ti_lite_640_weedDetect//tempDir/graphvizInfo.txt /home/jeff/XAG_working/TI/edgeai-tidl-tools/model-artifacts/yolov5s6_ti_lite_640_weedDetect//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, Slice, 5, 1, 390, 408 156, Mul, 2, 1, 408, 410 157, Pow, 2, 1, 410, 413 158, Mul, 2, 1, 413, 418 159, Slice, 5, 1, 390, 423 160, Concat, 3, 1, 403, 424 161, Reshape, 2, 1, 424, 431 162, Conv, 3, 1, 327, 328 163, Relu, 1, 1, 328, 329 164, Concat, 2, 1, 329, 330 165, Conv, 3, 1, 330, 331 166, Relu, 1, 1, 331, 332 167, Conv, 3, 1, 332, 333 168, Relu, 1, 1, 333, 334 169, Conv, 3, 1, 334, 335 170, Relu, 1, 1, 335, 336 171, Conv, 3, 1, 330, 337 172, Relu, 1, 1, 337, 338 173, Concat, 2, 1, 336, 339 174, Conv, 3, 1, 339, 340 175, Relu, 1, 1, 340, 341 176, Conv, 3, 1, 341, 432 177, Reshape, 2, 1, 432, 450 178, Transpose, 1, 1, 450, 451 179, Sigmoid, 1, 1, 451, 452 180, Slice, 5, 1, 452, 457 181, Mul, 2, 1, 457, 459 182, Sub, 2, 1, 459, 461 183, Add, 2, 1, 461, 463 184, Mul, 2, 1, 463, 465 185, Slice, 5, 1, 452, 470 186, Mul, 2, 1, 470, 472 187, Pow, 2, 1, 472, 475 188, Mul, 2, 1, 475, 480 189, Slice, 5, 1, 452, 485 190, Concat, 3, 1, 465, 486 191, Reshape, 2, 1, 486, 493 192, Conv, 3, 1, 341, 342 193, Relu, 1, 1, 342, 343 194, Concat, 2, 1, 343, 344 195, Conv, 3, 1, 344, 345 196, Relu, 1, 1, 345, 346 197, Conv, 3, 1, 346, 347 198, Relu, 1, 1, 347, 348 199, Conv, 3, 1, 348, 349 200, Relu, 1, 1, 349, 350 201, Conv, 3, 1, 344, 351 202, Relu, 1, 1, 351, 352 203, Concat, 2, 1, 350, 353 204, Conv, 3, 1, 353, 354 205, Relu, 1, 1, 354, 355 206, Conv, 3, 1, 355, 494 207, Reshape, 2, 1, 494, 512 208, Transpose, 1, 1, 512, 513 209, Sigmoid, 1, 1, 513, 514 210, Slice, 5, 1, 514, 519 211, Mul, 2, 1, 519, 521 212, Sub, 2, 1, 521, 523 213, Add, 2, 1, 523, 525 214, Mul, 2, 1, 525, 527 215, Slice, 5, 1, 514, 532 216, Mul, 2, 1, 532, 534 217, Pow, 2, 1, 534, 537 218, Mul, 2, 1, 537, 542 219, Slice, 5, 1, 514, 547 220, Concat, 3, 1, 527, 548 221, Reshape, 2, 1, 548, 555 222, Conv, 3, 1, 355, 356 223, Relu, 1, 1, 356, 357 224, Concat, 2, 1, 357, 358 225, Conv, 3, 1, 358, 359 226, Relu, 1, 1, 359, 360 227, Conv, 3, 1, 360, 361 228, Relu, 1, 1, 361, 362 229, Conv, 3, 1, 362, 363 230, Relu, 1, 1, 363, 364 231, Conv, 3, 1, 358, 365 232, Relu, 1, 1, 365, 366 233, Concat, 2, 1, 364, 367 234, Conv, 3, 1, 367, 368 235, Relu, 1, 1, 368, 369 236, Conv, 3, 1, 369, 556 237, Reshape, 2, 1, 556, 574 238, Transpose, 1, 1, 574, 575 239, Sigmoid, 1, 1, 575, 576 240, Slice, 5, 1, 576, 581 241, Mul, 2, 1, 581, 583 242, Sub, 2, 1, 583, 585 243, Add, 2, 1, 585, 587 244, Mul, 2, 1, 587, 589 245, Slice, 5, 1, 576, 594 246, Mul, 2, 1, 594, 596 247, Pow, 2, 1, 596, 599 248, Mul, 2, 1, 599, 604 249, Slice, 5, 1, 576, 609 250, Concat, 3, 1, 589, 610 251, Reshape, 2, 1, 610, 617 252, Concat, 4, 1, 431, 618 253, Split, 1, 1, 618, 623 254, Squeeze, 1, 1, 623, 624 255, Gather, 2, 1, 618, 620 256, Greater, 2, 1, 620, 622 257, Gather, 2, 1, 622, 626 258, NonZero, 1, 1, 626, 628 259, Transpose, 1, 1, 628, 629 260, GatherND, 2, 1, 624, 630 261, Slice, 5, 1, 630, 635 262, Slice, 5, 1, 630, 645 263, Div, 2, 1, 645, 664 264, Sub, 2, 1, 635, 668 265, Slice, 5, 1, 630, 640 266, Slice, 5, 1, 630, 650 267, Div, 2, 1, 650, 667 268, Sub, 2, 1, 640, 669 269, Add, 2, 1, 635, 670 270, Add, 2, 1, 640, 671 271, Slice, 5, 1, 630, 655 272, Slice, 5, 1, 630, 660 273, Mul, 2, 1, 655, 661 274, ArgMax, 1, 1, 661, 674 275, Cast, 1, 1, 674, 675 276, ReduceMax, 1, 1, 661, 673 277, Concat, 6, 1, 668, 676 278, Reshape, 2, 1, 673, 678 279, Greater, 2, 1, 678, 680 280, NonZero, 1, 1, 680, 682 281, Transpose, 1, 1, 682, 683 282, GatherND, 2, 1, 676, 684 283, Slice, 5, 1, 684, 689 284, Mul, 2, 1, 689, 691 285, Slice, 5, 1, 684, 696 286, Add, 2, 1, 696, 697 287, Unsqueeze, 1, 1, 697, 700 288, Gather, 2, 1, 684, 699 289, Unsqueeze, 1, 1, 699, 701 290, Unsqueeze, 1, 1, 701, 702 291, NonMaxSuppression, 4, 1, 700, 705 292, Gather, 2, 1, 705, 707 293, Squeeze, 1, 1, 707, 708 294, Gather, 2, 1, 684, 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=432 Layer 2, subgraph id detections, name=494 Layer 3, subgraph id detections, name=556 Layer 4, subgraph id detections, name=images TIDL Meta PipeLine (Proto) File : /home/jeff/XAG_working/TI/edgeai-tidl-tools/models/yolov5s6_ti_lite_640_weedDetect/best.prototxt yolo_v3 yolo_v3 In TIDL_runtimesOptimizeNet: LayerIndex = 197, dataIndex = 193 Warning : Requested Output Data Convert Layer is not Added to the network, It is currently not Optimal ************** 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 0.790s: VX_ZONE_INIT:[tivxInit:178] Initialization Done !!! TIDL_initDebugTraceParams Done Alg Alloc for Layer # - 0 Alg Alloc for Layer # - 1 Alg Alloc for Layer # - 2 Alg Alloc for Layer # - 3 Alg Alloc for Layer # - 4 Alg Alloc for Layer # - 5 Alg Alloc for Layer # - 6 Alg Alloc for Layer # - 7 Alg Alloc for Layer # - 8 Alg Alloc for Layer # - 9 Alg Alloc for Layer # - 10 Alg Alloc for Layer # - 11 Alg Alloc for Layer # - 12 Alg Alloc for Layer # - 13 Alg Alloc for Layer # - 14 Alg Alloc for Layer # - 15 Alg Alloc for Layer # - 16 Alg Alloc for Layer # - 17 Alg Alloc for Layer # - 18 Alg Alloc for Layer # - 19 Alg Alloc for Layer # - 20 Alg Alloc for Layer # - 21 Alg Alloc for Layer # - 22 Alg Alloc for Layer # - 23 Alg Alloc for Layer # - 24 Alg Alloc for Layer # - 25 Alg Alloc for Layer # - 26 Alg Alloc for Layer # - 27 Alg Alloc for Layer # - 28 Alg Alloc for Layer # - 29 Alg Alloc for Layer # - 30 Alg Alloc for Layer # - 31 Alg Alloc for Layer # - 32 Alg Alloc for Layer # - 33 Alg Alloc for Layer # - 34 Alg Alloc for Layer # - 35 Alg Alloc for Layer # - 36 Alg Alloc for Layer # - 37 Alg Alloc for Layer # - 38 Alg Alloc for Layer # - 39 Alg Alloc for Layer # - 40 Alg Alloc for Layer # - 41 Alg Alloc for Layer # - 42 Alg Alloc for Layer # - 43 Alg Alloc for Layer # - 44 Alg Alloc for Layer # - 45 Alg Alloc for Layer # - 46 Alg Alloc for Layer # - 47 Alg Alloc for Layer # - 48 Alg Alloc for Layer # - 49 Alg Alloc for Layer # - 50 Alg Alloc for Layer # - 51 Alg Alloc for Layer # - 52 Alg Alloc for Layer # - 53 Alg Alloc for Layer # - 54 Alg Alloc for Layer # - 55 Alg Alloc for Layer # - 56 Alg Alloc for Layer # - 57 Alg Alloc for Layer # - 58 Alg Alloc for Layer # - 59 Alg Alloc for Layer # - 60 Alg Alloc for Layer # - 61 Alg Alloc for Layer # - 62 Alg Alloc for Layer # - 63 Alg Alloc for Layer # - 64 Alg Alloc for Layer # - 65 Alg Alloc for Layer # - 66 Alg Alloc for Layer # - 67 Alg Alloc for Layer # - 68 Alg Alloc for Layer # - 69 Alg Alloc for Layer # - 70 Alg Alloc for Layer # - 71 Alg Alloc for Layer # - 72 Alg Alloc for Layer # - 73 Alg Alloc for Layer # - 74 Alg Alloc for Layer # - 75 Alg Alloc for Layer # - 76 Alg Alloc for Layer # - 77 Alg Alloc for Layer # - 78 Alg Alloc for Layer # - 79 Alg Alloc for Layer # - 80 Alg Alloc for Layer # - 81 Alg Alloc for Layer # - 82 Alg Alloc for Layer # - 83 Alg Alloc for Layer # - 84 Alg Alloc for Layer # - 85 Alg Alloc for Layer # - 86 Alg Alloc for Layer # - 87 Alg Alloc for Layer # - 88 Alg Alloc for Layer # - 89 Alg Alloc for Layer # - 90 Alg Alloc for Layer # - 91 Alg Alloc for Layer # - 92 Alg Alloc for Layer # - 93 Alg Alloc for Layer # - 94 Alg Alloc for Layer # - 95 Alg Alloc for Layer # - 96 Alg Alloc for Layer # - 97 Alg Alloc for Layer # - 98 Alg Alloc for Layer # - 99 Alg Alloc for Layer # - 100 Alg Alloc for Layer # - 101 Alg Alloc for Layer # - 102 Alg Alloc for Layer # - 103 Alg Alloc for Layer # - 104 Alg Alloc for Layer # - 105 Alg Alloc for Layer # - 106 Alg Alloc for Layer # - 107 Alg Alloc for Layer # - 108 Alg Alloc for Layer # - 109 Alg Alloc for Layer # - 110 Alg Alloc for Layer # - 111 Alg Alloc for Layer # - 112 Alg Alloc for Layer # - 113 Alg Alloc for Layer # - 114 Alg Alloc for Layer # - 115 Alg Alloc for Layer # - 116 Alg Alloc for Layer # - 117 Alg Alloc for Layer # - 118 TIDL Memory requiement MemRecNum , Space , Attribute , SizeinBytes 0 , DDR , Persistent, 15208 1 , DDR , Persistent, 136 2 , DDR , Scratch , 16384 3 , DDR , Scratch , 4096 4 , DDR , Scratch , 57344 5 , DDR , Persistent, 120960 6 , DDR , Scratch , 112275092 7 , DDR , Scratch , 256 8 , DDR , Scratch , 26214528 9 , DDR , Scratch , 106174464 10 , DDR , Persistent, 5431680 11 , DDR , Persistent, 1221056 12 , DDR , Scratch , 2468119 13 , DDR , Persistent, 128 NOTE: Memory requirement in host emulation can be different from the same on EVM To get the actual TIDL memory requirement make sure to run on EVM with writeTraceLevel = 0 Alg Init for Layer # - 0 out of 118 Alg Init for Layer # - 1 out of 118 Alg Init for Layer # - 2 out of 118 Alg Init for Layer # - 3 out of 118 Alg Init for Layer # - 4 out of 118 Alg Init for Layer # - 5 out of 118 Alg Init for Layer # - 6 out of 118 Alg Init for Layer # - 7 out of 118 Alg Init for Layer # - 8 out of 118 Alg Init for Layer # - 9 out of 118 Alg Init for Layer # - 10 out of 118 Alg Init for Layer # - 11 out of 118 Alg Init for Layer # - 12 out of 118 Alg Init for Layer # - 13 out of 118 Alg Init for Layer # - 14 out of 118 Alg Init for Layer # - 15 out of 118 Alg Init for Layer # - 16 out of 118 Alg Init for Layer # - 17 out of 118 Alg Init for Layer # - 18 out of 118 Alg Init for Layer # - 19 out of 118 Alg Init for Layer # - 20 out of 118 Alg Init for Layer # - 21 out of 118 Alg Init for Layer # - 22 out of 118 Alg Init for Layer # - 23 out of 118 Alg Init for Layer # - 24 out of 118 Alg Init for Layer # - 25 out of 118 Alg Init for Layer # - 26 out of 118 Alg Init for Layer # - 27 out of 118 Alg Init for Layer # - 28 out of 118 Alg Init for Layer # - 29 out of 118 Alg Init for Layer # - 30 out of 118 Alg Init for Layer # - 31 out of 118 Alg Init for Layer # - 32 out of 118 Alg Init for Layer # - 33 out of 118 Alg Init for Layer # - 34 out of 118 Alg Init for Layer # - 35 out of 118 Alg Init for Layer # - 36 out of 118 Alg Init for Layer # - 37 out of 118 Alg Init for Layer # - 38 out of 118 Alg Init for Layer # - 39 out of 118 Alg Init for Layer # - 40 out of 118 Alg Init for Layer # - 41 out of 118 Alg Init for Layer # - 42 out of 118 Alg Init for Layer # - 43 out of 118 Alg Init for Layer # - 44 out of 118 Alg Init for Layer # - 45 out of 118 Alg Init for Layer # - 46 out of 118 Alg Init for Layer # - 47 out of 118 Alg Init for Layer # - 48 out of 118 Alg Init for Layer # - 49 out of 118 Alg Init for Layer # - 50 out of 118 Alg Init for Layer # - 51 out of 118 Alg Init for Layer # - 52 out of 118 Alg Init for Layer # - 53 out of 118 Alg Init for Layer # - 54 out of 118 Alg Init for Layer # - 55 out of 118 Alg Init for Layer # - 56 out of 118 Alg Init for Layer # - 57 out of 118 Alg Init for Layer # - 58 out of 118 Alg Init for Layer # - 59 out of 118 Alg Init for Layer # - 60 out of 118 Alg Init for Layer # - 61 out of 118 Alg Init for Layer # - 62 out of 118 Alg Init for Layer # - 63 out of 118 Alg Init for Layer # - 64 out of 118 Alg Init for Layer # - 65 out of 118 Alg Init for Layer # - 66 out of 118 Alg Init for Layer # - 67 out of 118 Alg Init for Layer # - 68 out of 118 Alg Init for Layer # - 69 out of 118 Alg Init for Layer # - 70 out of 118 Alg Init for Layer # - 71 out of 118 Alg Init for Layer # - 72 out of 118 Alg Init for Layer # - 73 out of 118 Alg Init for Layer # - 74 out of 118 Alg Init for Layer # - 75 out of 118 Alg Init for Layer # - 76 out of 118 Alg Init for Layer # - 77 out of 118 Alg Init for Layer # - 78 out of 118 Alg Init for Layer # - 79 out of 118 Alg Init for Layer # - 80 out of 118 Alg Init for Layer # - 81 out of 118 Alg Init for Layer # - 82 out of 118 Alg Init for Layer # - 83 out of 118 Alg Init for Layer # - 84 out of 118 Alg Init for Layer # - 85 out of 118 Alg Init for Layer # - 86 out of 118 Alg Init for Layer # - 87 out of 118 Alg Init for Layer # - 88 out of 118 Alg Init for Layer # - 89 out of 118 Alg Init for Layer # - 90 out of 118 Alg Init for Layer # - 91 out of 118 Alg Init for Layer # - 92 out of 118 Alg Init for Layer # - 93 out of 118 Alg Init for Layer # - 94 out of 118 Alg Init for Layer # - 95 out of 118 Alg Init for Layer # - 96 out of 118 Alg Init for Layer # - 97 out of 118 Alg Init for Layer # - 98 out of 118 Alg Init for Layer # - 99 out of 118 Alg Init for Layer # - 100 out of 118 Alg Init for Layer # - 101 out of 118 Alg Init for Layer # - 102 out of 118 Alg Init for Layer # - 103 out of 118 Alg Init for Layer # - 104 out of 118 Alg Init for Layer # - 105 out of 118 Alg Init for Layer # - 106 out of 118 Alg Init for Layer # - 107 out of 118 Alg Init for Layer # - 108 out of 118 Alg Init for Layer # - 109 out of 118 Alg Init for Layer # - 110 out of 118 Alg Init for Layer # - 111 out of 118 Alg Init for Layer # - 112 out of 118 Alg Init for Layer # - 113 out of 118 Alg Init for Layer # - 114 out of 118 Alg Init for Layer # - 115 out of 118 Alg Init for Layer # - 116 out of 118 Alg Init for Layer # - 117 out of 118 Alg Init for Layer # - 118 out of 118 ************ TIDL_subgraphRtCreate done ************ ******* In TIDL_subgraphRtInvoke ******** TIDL_activate is called with handle : 70010190 Starting Layer # - 1 0 1.00000 0.04314 0.92157 6 Processing Layer # - 1 1 1.00000 0.04314 0.92157 6 End of Layer # - 1 with outPtrs[0] = 0x7ff266548010 Starting Layer # - 2 Processing Layer # - 2 2 1.00000 0.00000 16.30557 6 End of Layer # - 2 with outPtrs[0] = 0x7ff2669ff890 Starting Layer # - 3 Processing Layer # - 3 3 1.00000 0.00000 26.79524 6 End of Layer # - 3 with outPtrs[0] = 0x7ff266ebe990 Starting Layer # - 4 Processing Layer # - 4 4 1.00000 0.00000 23.30927 6 End of Layer # - 4 with outPtrs[0] = 0x7ff267b66b10 Starting Layer # - 5 Processing Layer # - 5 5 1.00000 0.00000 8.36018 6 End of Layer # - 5 with outPtrs[0] = 0x7ff2681a6b10 Starting Layer # - 6 Processing Layer # - 6 6 1.00000 0.00000 10.05203 6 End of Layer # - 6 with outPtrs[0] = 0x7ff2684c6b10 Starting Layer # - 7 Processing Layer # - 7 7 1.00000 0.00000 12.68021 6 End of Layer # - 7 with outPtrs[0] = 0x7ff2687fac90 Starting Layer # - 8 Processing Layer # - 8 8 1.00000 0.00000 13.37670 6 End of Layer # - 8 with outPtrs[0] = 0x7ff268b1ac90 Starting Layer # - 9 Processing Layer # - 9 9 1.00000 0.00000 17.54152 6 End of Layer # - 9 with outPtrs[0] = 0x7ff2687fac90 Starting Layer # - 10 Processing Layer # - 10 10 1.00000 0.00000 17.54152 6 End of Layer # - 10 with outPtrs[0] = 0x7ff268e3ac90 Starting Layer # - 11 Processing Layer # - 11 11 1.00000 0.00000 14.17044 6 End of Layer # - 11 with outPtrs[0] = 0x7ff26947ac90 Starting Layer # - 12 Processing Layer # - 12 12 1.00000 0.00000 8.39576 6 End of Layer # - 12 with outPtrs[0] = 0x7ff269ae2f90 Starting Layer # - 13 Processing Layer # - 13 13 1.00000 0.00000 4.97134 6 End of Layer # - 13 with outPtrs[0] = 0x7ff269e02f90 Starting Layer # - 14 Processing Layer # - 14 14 1.00000 0.00000 6.67745 6 End of Layer # - 14 with outPtrs[0] = 0x7ff269f92f90 Starting Layer # - 15 Processing Layer # - 15 15 1.00000 0.00000 4.72142 6 End of Layer # - 15 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 16 Processing Layer # - 16 16 1.00000 0.00000 7.25355 6 End of Layer # - 16 with outPtrs[0] = 0x7ff26a2c7290 Starting Layer # - 17 Processing Layer # - 17 17 1.00000 0.00000 6.23027 6 End of Layer # - 17 with outPtrs[0] = 0x7ff269f92f90 Starting Layer # - 18 Processing Layer # - 18 18 1.00000 0.00000 6.88345 6 End of Layer # - 18 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 19 Processing Layer # - 19 19 1.00000 0.00000 10.80504 6 End of Layer # - 19 with outPtrs[0] = 0x7ff26a457290 Starting Layer # - 20 Processing Layer # - 20 20 1.00000 0.00000 6.71653 6 End of Layer # - 20 with outPtrs[0] = 0x7ff269f92f90 Starting Layer # - 21 Processing Layer # - 21 21 1.00000 0.00000 13.55301 6 End of Layer # - 21 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 22 Processing Layer # - 22 22 1.00000 0.00000 14.72648 6 End of Layer # - 22 with outPtrs[0] = 0x7ff26a2c7290 Starting Layer # - 23 Processing Layer # - 23 23 1.00000 0.00000 11.40708 6 End of Layer # - 23 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 24 Processing Layer # - 24 24 1.00000 0.00000 14.72648 6 End of Layer # - 24 with outPtrs[0] = 0x7ff26a5e7290 Starting Layer # - 25 Processing Layer # - 25 25 1.00000 0.00000 7.11264 6 End of Layer # - 25 with outPtrs[0] = 0x7ff26a907290 Starting Layer # - 26 Processing Layer # - 26 26 1.00000 0.00000 6.23118 6 End of Layer # - 26 with outPtrs[0] = 0x7ff26ac4f890 Starting Layer # - 27 Processing Layer # - 27 27 1.00000 0.00000 3.26151 6 End of Layer # - 27 with outPtrs[0] = 0x7ff26addf890 Starting Layer # - 28 Processing Layer # - 28 28 1.00000 0.00000 7.15816 6 End of Layer # - 28 with outPtrs[0] = 0x7ff26aea7890 Starting Layer # - 29 Processing Layer # - 29 29 1.00000 0.00000 3.34728 6 End of Layer # - 29 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 30 Processing Layer # - 30 30 1.00000 0.00000 4.46089 6 End of Layer # - 30 with outPtrs[0] = 0x7ff26b04be90 Starting Layer # - 31 Processing Layer # - 31 31 1.00000 0.00000 4.53050 6 End of Layer # - 31 with outPtrs[0] = 0x7ff26aea7890 Starting Layer # - 32 Processing Layer # - 32 32 1.00000 0.00000 4.60957 6 End of Layer # - 32 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 33 Processing Layer # - 33 33 1.00000 0.00000 6.24614 6 End of Layer # - 33 with outPtrs[0] = 0x7ff26b113e90 Starting Layer # - 34 Processing Layer # - 34 34 1.00000 0.00000 6.59833 6 End of Layer # - 34 with outPtrs[0] = 0x7ff26aea7890 Starting Layer # - 35 Processing Layer # - 35 35 1.00000 0.00000 7.64852 6 End of Layer # - 35 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 36 Processing Layer # - 36 36 1.00000 0.00000 9.88777 6 End of Layer # - 36 with outPtrs[0] = 0x7ff26b04be90 Starting Layer # - 37 Processing Layer # - 37 37 1.00000 0.00000 9.96059 6 End of Layer # - 37 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 38 Processing Layer # - 38 38 1.00000 0.00000 9.96059 6 End of Layer # - 38 with outPtrs[0] = 0x7ff26b1dbe90 Starting Layer # - 39 Processing Layer # - 39 39 1.00000 0.00000 6.29654 6 End of Layer # - 39 with outPtrs[0] = 0x7ff26b36be90 Starting Layer # - 40 Processing Layer # - 40 40 1.00000 0.00000 4.74159 6 End of Layer # - 40 with outPtrs[0] = 0x7ff26b524a90 Starting Layer # - 41 Processing Layer # - 41 41 1.00000 0.00000 3.15652 6 End of Layer # - 41 with outPtrs[0] = 0x7ff26b5baa90 Starting Layer # - 42 Processing Layer # - 42 42 1.00000 0.00000 5.38200 6 End of Layer # - 42 with outPtrs[0] = 0x7ff26b605a90 Starting Layer # - 43 Processing Layer # - 43 43 1.00000 0.00000 4.39837 6 End of Layer # - 43 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 44 Processing Layer # - 44 44 1.00000 0.00000 5.25146 6 End of Layer # - 44 with outPtrs[0] = 0x7ff26b6ab390 Starting Layer # - 45 Processing Layer # - 45 45 1.00000 0.00000 8.12601 6 End of Layer # - 45 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 46 Processing Layer # - 46 46 1.00000 0.00000 8.12601 6 End of Layer # - 46 with outPtrs[0] = 0x7ff26b6f6390 Starting Layer # - 47 Processing Layer # - 47 47 1.00000 0.00000 5.14356 6 End of Layer # - 47 with outPtrs[0] = 0x7ff26b78c390 Starting Layer # - 48 Processing Layer # - 48 48 1.00000 0.00000 4.27357 6 End of Layer # - 48 with outPtrs[0] = 0x7ff26b841590 Starting Layer # - 49 Processing Layer # - 49 49 1.00000 0.00000 4.26218 6 End of Layer # - 49 with outPtrs[0] = 0x7ff26b873590 Starting Layer # - 50 Processing Layer # - 50 50 1.00000 0.00000 4.26218 6 End of Layer # - 50 with outPtrs[0] = 0x7ff26b897190 Starting Layer # - 51 Processing Layer # - 51 51 1.00000 0.00000 4.26218 6 End of Layer # - 51 with outPtrs[0] = 0x7ff26b8bad90 Starting Layer # - 52 Processing Layer # - 52 52 1.00000 0.00000 4.26218 6 End of Layer # - 52 with outPtrs[0] = 0x7ff26b8de990 Starting Layer # - 53 Processing Layer # - 53 53 1.00000 0.00000 4.26218 6 End of Layer # - 53 with outPtrs[0] = 0x7ff26b8f7990 Starting Layer # - 54 Processing Layer # - 54 54 1.00000 0.00000 3.47277 6 End of Layer # - 54 with outPtrs[0] = 0x7ff26b841590 Starting Layer # - 55 Processing Layer # - 55 55 1.00000 0.00000 3.36157 6 End of Layer # - 55 with outPtrs[0] = 0x7ff26b95b990 Starting Layer # - 56 Processing Layer # - 56 56 1.00000 0.00000 3.77550 6 End of Layer # - 56 with outPtrs[0] = 0x7ff26b873590 Starting Layer # - 57 Processing Layer # - 57 57 1.00000 0.00000 3.59580 6 End of Layer # - 57 with outPtrs[0] = 0x7ff26b95b990 Starting Layer # - 58 Processing Layer # - 58 58 1.00000 0.00000 2.84439 6 End of Layer # - 58 with outPtrs[0] = 0x7ff26b974990 Starting Layer # - 59 Processing Layer # - 59 59 1.00000 0.00000 3.59580 6 End of Layer # - 59 with outPtrs[0] = 0x7ff26b8f7990 Starting Layer # - 60 Processing Layer # - 60 60 1.00000 0.00000 4.17971 6 End of Layer # - 60 with outPtrs[0] = 0x7ff26b841590 Starting Layer # - 61 Processing Layer # - 61 61 1.00000 0.00000 3.65587 6 End of Layer # - 61 with outPtrs[0] = 0x7ff26b98d990 Starting Layer # - 62 Processing Layer # - 62 62 1.00000 0.00000 3.65587 6 End of Layer # - 62 with outPtrs[0] = 0x7ff26b9c3390 Starting Layer # - 63 Processing Layer # - 63 63 1.00000 0.00000 5.14356 6 End of Layer # - 63 with outPtrs[0] = 0x7ff26ba59390 Starting Layer # - 64 Processing Layer # - 64 64 1.00000 0.00000 4.04526 6 End of Layer # - 64 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 65 Processing Layer # - 65 65 1.00000 0.00000 4.17677 6 End of Layer # - 65 with outPtrs[0] = 0x7ff26b78c390 Starting Layer # - 66 Processing Layer # - 66 66 1.00000 0.00000 3.93544 6 End of Layer # - 66 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 67 Processing Layer # - 67 67 1.00000 0.00000 3.36638 6 End of Layer # - 67 with outPtrs[0] = 0x7ff26b5baa90 Starting Layer # - 68 Processing Layer # - 68 68 1.00000 0.00000 3.93544 6 End of Layer # - 68 with outPtrs[0] = 0x7ff26ba59390 Starting Layer # - 69 Processing Layer # - 69 69 1.00000 0.00000 4.06451 6 End of Layer # - 69 with outPtrs[0] = 0x7ff26b524a90 Starting Layer # - 70 Processing Layer # - 70 70 1.00000 0.00000 4.32706 6 End of Layer # - 70 with outPtrs[0] = 0x7ff26b78c390 Starting Layer # - 71 Processing Layer # - 71 71 1.00000 0.00000 4.32706 6 End of Layer # - 71 with outPtrs[0] = 0x7ff26bb85390 Starting Layer # - 72 Processing Layer # - 72 72 1.00000 0.00000 6.29654 6 End of Layer # - 72 with outPtrs[0] = 0x7ff26bd15390 Starting Layer # - 73 Processing Layer # - 73 73 1.00000 0.00000 3.45382 6 End of Layer # - 73 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 74 Processing Layer # - 74 74 1.00000 0.00000 4.27755 6 End of Layer # - 74 with outPtrs[0] = 0x7ff26b36be90 Starting Layer # - 75 Processing Layer # - 75 75 1.00000 0.00000 4.98383 6 End of Layer # - 75 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 76 Processing Layer # - 76 76 1.00000 0.00000 3.42696 6 End of Layer # - 76 with outPtrs[0] = 0x7ff26addf890 Starting Layer # - 77 Processing Layer # - 77 77 1.00000 0.00000 4.98383 6 End of Layer # - 77 with outPtrs[0] = 0x7ff26bd15390 Starting Layer # - 78 Processing Layer # - 78 78 1.00000 0.00000 3.84965 6 End of Layer # - 78 with outPtrs[0] = 0x7ff26ac4f890 Starting Layer # - 79 Processing Layer # - 79 79 1.00000 0.00000 5.94817 6 End of Layer # - 79 with outPtrs[0] = 0x7ff26b36be90 Starting Layer # - 80 Processing Layer # - 80 80 1.00000 0.00000 5.94817 6 End of Layer # - 80 with outPtrs[0] = 0x7ff26c035390 Starting Layer # - 81 Processing Layer # - 81 81 1.00000 0.00000 7.11264 6 End of Layer # - 81 with outPtrs[0] = 0x7ff26c355390 Starting Layer # - 82 Processing Layer # - 82 82 1.00000 0.00000 3.33936 6 End of Layer # - 82 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 83 Processing Layer # - 83 83 1.00000 0.00000 4.11856 6 End of Layer # - 83 with outPtrs[0] = 0x7ff26a907290 Starting Layer # - 84 Processing Layer # - 84 84 1.00000 0.00000 4.96769 6 End of Layer # - 84 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 85 Processing Layer # - 85 85 1.00000 0.00000 3.86703 6 End of Layer # - 85 with outPtrs[0] = 0x7ff269e02f90 Starting Layer # - 86 Processing Layer # - 86 86 1.00000 0.00000 4.96769 6 End of Layer # - 86 with outPtrs[0] = 0x7ff26c355390 Starting Layer # - 87 Processing Layer # - 87 87 1.00000 0.00000 16.04218 6 End of Layer # - 87 with outPtrs[0] = 0x7ff26a907290 Starting Layer # - 88 Processing Layer # - 88 88 1.00000 -23.76906 5.08713 6 End of Layer # - 88 with outPtrs[0] = 0x7ff26a137290 Starting Layer # - 89 Processing Layer # - 89 89 1.00000 0.00000 6.47293 6 End of Layer # - 89 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 90 Processing Layer # - 90 90 1.00000 0.00000 6.47293 6 End of Layer # - 90 with outPtrs[0] = 0x7ff26bd15390 Starting Layer # - 91 Processing Layer # - 91 91 1.00000 0.00000 5.21689 6 End of Layer # - 91 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 92 Processing Layer # - 92 92 1.00000 0.00000 5.21830 6 End of Layer # - 92 with outPtrs[0] = 0x7ff26b36be90 Starting Layer # - 93 Processing Layer # - 93 93 1.00000 0.00000 6.81441 6 End of Layer # - 93 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 94 Processing Layer # - 94 94 1.00000 0.00000 4.68408 6 End of Layer # - 94 with outPtrs[0] = 0x7ff26addf890 Starting Layer # - 95 Processing Layer # - 95 95 1.00000 0.00000 6.81441 6 End of Layer # - 95 with outPtrs[0] = 0x7ff26bd15390 Starting Layer # - 96 Processing Layer # - 96 96 1.00000 0.00000 14.40268 6 End of Layer # - 96 with outPtrs[0] = 0x7ff26b36be90 Starting Layer # - 97 Processing Layer # - 97 97 1.00000 -18.57414 4.27288 6 End of Layer # - 97 with outPtrs[0] = 0x7ff26af83e90 Starting Layer # - 98 Processing Layer # - 98 98 1.00000 0.00000 7.18737 6 End of Layer # - 98 with outPtrs[0] = 0x7ff26b524a90 Starting Layer # - 99 Processing Layer # - 99 99 1.00000 0.00000 7.18737 6 End of Layer # - 99 with outPtrs[0] = 0x7ff26ba59390 Starting Layer # - 100 Processing Layer # - 100 100 1.00000 0.00000 5.55519 6 End of Layer # - 100 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 101 Processing Layer # - 101 101 1.00000 0.00000 7.19511 6 End of Layer # - 101 with outPtrs[0] = 0x7ff26b78c390 Starting Layer # - 102 Processing Layer # - 102 102 1.00000 0.00000 7.16416 6 End of Layer # - 102 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 103 Processing Layer # - 103 103 1.00000 0.00000 3.24097 6 End of Layer # - 103 with outPtrs[0] = 0x7ff26b5baa90 Starting Layer # - 104 Processing Layer # - 104 104 1.00000 0.00000 7.16416 6 End of Layer # - 104 with outPtrs[0] = 0x7ff26ba59390 Starting Layer # - 105 Processing Layer # - 105 105 1.00000 0.00000 10.04217 6 End of Layer # - 105 with outPtrs[0] = 0x7ff26b78c390 Starting Layer # - 106 Processing Layer # - 106 106 1.00000 -16.01217 4.22144 6 End of Layer # - 106 with outPtrs[0] = 0x7ff26b660390 Starting Layer # - 107 Processing Layer # - 107 107 1.00000 0.00000 7.86065 6 End of Layer # - 107 with outPtrs[0] = 0x7ff26b841590 Starting Layer # - 108 Processing Layer # - 108 108 1.00000 0.00000 7.86065 6 End of Layer # - 108 with outPtrs[0] = 0x7ff26b8f7990 Starting Layer # - 109 Processing Layer # - 109 109 1.00000 0.00000 5.03271 6 End of Layer # - 109 with outPtrs[0] = 0x7ff26b974990 Starting Layer # - 110 Processing Layer # - 110 110 1.00000 0.00000 4.96531 6 End of Layer # - 110 with outPtrs[0] = 0x7ff26b98d990 Starting Layer # - 111 Processing Layer # - 111 111 1.00000 0.00000 4.44212 6 End of Layer # - 111 with outPtrs[0] = 0x7ff26b974990 Starting Layer # - 112 Processing Layer # - 112 112 1.00000 0.00000 3.84800 6 End of Layer # - 112 with outPtrs[0] = 0x7ff26b95b990 Starting Layer # - 113 Processing Layer # - 113 113 1.00000 0.00000 4.44212 6 End of Layer # - 113 with outPtrs[0] = 0x7ff26b8f7990 Starting Layer # - 114 Processing Layer # - 114 114 1.00000 0.00000 4.54441 6 End of Layer # - 114 with outPtrs[0] = 0x7ff26b841590 Starting Layer # - 115 Processing Layer # - 115 115 1.00000 -12.19052 2.87414 6 End of Layer # - 115 with outPtrs[0] = 0x7ff26b974990 Starting Layer # - 116 Processing Layer # - 116 Valid points has excceded from assumption, DDR flow will be executed 116 1.00000 0.00000 28.00000 6 End of Layer # - 116 with outPtrs[0] = 0x7ff26c995390 Starting Layer # - 117 Processing Layer # - 117 117 1.00000 -1.00000 640.15320 6 End of Layer # - 117 with outPtrs[0] = 0x560ca706f6a0 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, 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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, Available execution providers : ['TIDLExecutionProvider', 'TIDLCompilationProvider', 'CPUExecutionProvider'] Running 1 Models - ['yolov5s6_ti_lite_640_weedDetect'] Running_Model : yolov5s6_ti_lite_640_weedDetect Completed_Model : 1, Name : yolov5s6_ti_lite_640_weedDetect , Total time : 8517.46, Offload Time : 7107.17 , DDR RW MBs : 0, Output File : py_out_yolov5s6_ti_lite_640_weedDetect_000115.png 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, 117, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, Sum of Layer Cycles 0 TIDL_process is completed with handle : 70010190 Sub Graph Stats 838.000000 7107169.000000 76.000000 ******* TIDL_subgraphRtInvoke done ******** ********** Frame Index 1 : Running float inference ********** ************ in TIDL_subgraphRtDelete ************ TIDL_deactivate is called with handle : 70010190