Tool/software:
Hi Team,
I have TDA4VM kit.
Using the below repo I trained a yolov5m6 model for my custom dataset. My dataset has only 1 class.
https://github.com/TexasInstruments/edgeai-yolov5
After training I do the onnx conversion, with the below command
`python export.py --weights runs/exp/weights/best.pt --img-size=640 --optimize --batch 1 --simplify --opset=11 --export-nms`
I have two files. "best.onnx" and "best.prototxt"
The contents of the "best.prototxt" file looks like this.
name: "yolo_v3"
tidl_yolo {
yolo_param {
input: "498"
anchor_width: 8.984375
anchor_width: 21.453125
anchor_width: 16.5
anchor_height: 11.5
anchor_height: 18.828125
anchor_height: 40.8125
}
yolo_param {
input: "560"
anchor_width: 43.15625
anchor_width: 39.4375
anchor_width: 86.4375
anchor_height: 32.40625
anchor_height: 70.3125
anchor_height: 64.3125
}
yolo_param {
input: "622"
anchor_width: 64.6875
anchor_width: 134.0
anchor_width: 120.125
anchor_height: 130.625
anchor_height: 130.375
anchor_height: 265.5
}
yolo_param {
input: "684"
anchor_width: 281.5
anchor_width: 246.75
anchor_width: 511.75
anchor_height: 180.375
anchor_height: 353.75
anchor_height: 386.75
}
detection_output_param {
num_classes: 1
share_location: true
background_label_id: -1
nms_param {
nms_threshold: 0.65
top_k: 30000
}
code_type: CODE_TYPE_YOLO_V5
keep_top_k: 300
confidence_threshold: 0.005
}
name: "yolo_v3"
in_width: 640
in_height: 640
output: "detections"
}
I am currently working on SDK 8.5 on TDA4VM and using the same to do the model compilation. I am using the foolowing repo for compilation
https://github.com/TexasInstruments/edgeai-benchmark/tree/r8.5
Sometimes the model conversion gets stuck after the iterations print "TIDL Process with REF_ONLY FLOW" I am facing the same problem with SDK 9 as well.
Below you can find the debug trace of the same with debug level 2
work_dir = ./work_dirs/modelartifacts/TDA4VM/8bits
packaged_dir = ./work_dirs/modelartifacts/TDA4VM_package/8bits
loading annotations into memory...
Done (t=0.02s)
creating index...
index created!
Image Dir : ./dependencies/datasets/calib/coco/calib
Annotations File : ./dependencies/datasets/calib/coco/annotations/instances_calib.json
--------------------------Loading Datasets------------------------------
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
Image Dir : ./dependencies/datasets/val/coco/valid
Annotations File : ./dependencies/datasets/val/coco/annotations/instances_valid.json
Pipeline configuration : {'yolov5m_Aug_640': {'task_type': 'detection', 'calibration_dataset': <edgeai_benchmark.datasets.coco_det.COCODetection object at 0x7ff8c5cd3c10>, 'input_dataset': <edgeai_benchmark.datasets.coco_det.COCODetection object at 0x7ff8c5cec290>, 'preprocess': <edgeai_benchmark.preprocess.PreProcessTransforms object at 0x7ff8e630f910>, 'session': <edgeai_benchmark.sessions.onnxrt_session.ONNXRTSession object at 0x7ff8e630f990>, 'postprocess': <edgeai_benchmark.postprocess.PostProcessTransforms object at 0x7ff8b50f5610>, 'metric': {0: 1}, 'model_info': {'metric_reference': {'accuracy_ap[.5:.95]%': 37.4}}}}
Inside Running accuracy
Settings : {'include_files': None, 'pipeline_type': 'accuracy', 'num_frames': 2, 'calibration_frames': 2, 'calibration_iterations': 1, 'configs_path': './configs', 'models_path': './edgeai-modelzoo/models/', 'modelartifacts_path': './work_dirs/modelartifacts/TDA4VM', 'datasets_path': './dependencies/datasets', 'target_device': 'TDA4VM', 'target_machine': 'pc', 'run_suffix': None, 'parallel_devices': [0], 'tensor_bits': 8, 'runtime_options': None, 'run_import': True, 'run_inference': True, 'run_missing': True, 'detection_threshold': 0.3, 'detection_top_k': 300, 'detection_nms_threshold': None, 'detection_keep_top_k': None, 'save_output': True, 'num_output_frames': 50, 'model_selection': None, 'model_shortlist': None, 'model_exclusion': None, 'task_selection': None, 'runtime_selection': None, 'session_type_dict': {'onnx': 'onnxrt', 'tflite': 'tflitert', 'mxnet': 'tvmdlr'}, 'dataset_type_dict': {'imagenet': 'coco'}, 'dataset_selection': None, 'dataset_loading': True, 'config_range': None, 'enable_logging': True, 'verbose': True, 'capture_log': False, 'experimental_models': True, 'rewrite_results': False, 'with_udp': False, 'flip_test': False, 'model_transformation_dict': None, 'report_perfsim': False, 'tidl_offload': True, 'input_optimization': None, 'run_dir_tree_depth': None, 'num_classes': 1, 'basic_keys': ['include_files', 'pipeline_type', 'num_frames', 'calibration_frames', 'calibration_iterations', 'configs_path', 'models_path', 'modelartifacts_path', 'datasets_path', 'target_device', 'target_machine', 'run_suffix', 'parallel_devices', 'tensor_bits', 'runtime_options', 'run_import', 'run_inference', 'run_missing', 'detection_threshold', 'detection_top_k', 'detection_nms_threshold', 'detection_keep_top_k', 'save_output', 'num_output_frames', 'model_selection', 'model_shortlist', 'model_exclusion', 'task_selection', 'runtime_selection', 'session_type_dict', 'dataset_type_dict', 'dataset_selection', 'dataset_loading', 'config_range', 'enable_logging', 'verbose', 'capture_log', 'experimental_models', 'rewrite_results', 'with_udp', 'flip_test', 'model_transformation_dict', 'report_perfsim', 'tidl_offload', 'input_optimization', 'run_dir_tree_depth', 'num_classes'], 'dataset_cache': None}
configs to run: ['yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx']
number of configs: 1
TASKS | | 0% 0/1| [< ] | 0%| ||
INFO:20240615-112222: starting process on parallel_device - 0
INFO:20240615-112223: starting - yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx
INFO:20240615-112223: model_path - /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/edgeai-modelzoo/models/yolov5m_Aug_640/best.onnx
INFO:20240615-112223: model_file - /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/model/best.onnx
Downloading 1/1: /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/edgeai-modelzoo/models/yolov5m_Aug_640/best.onnx
Download done for /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/edgeai-modelzoo/models/yolov5m_Aug_640/best.onnx
Converted model is valid!
INFO:20240615-112224: running - yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx
INFO:20240615-112224: pipeline_config - {'task_type': 'detection', 'calibration_dataset': <edgeai_benchmark.datasets.coco_det.COCODetection object at 0x7ff8b49d6fd0>, 'input_dataset': <edgeai_benchmark.datasets.coco_det.COCODetection object at 0x7ff8b49d6f50>, 'preprocess': <edgeai_benchmark.preprocess.PreProcessTransforms object at 0x7ff8b505fa10>, 'session': <edgeai_benchmark.sessions.onnxrt_session.ONNXRTSession object at 0x7ff8a44dea10>, 'postprocess': <edgeai_benchmark.postprocess.PostProcessTransforms object at 0x7ff8a44ded50>, 'metric': {0: 1}, 'model_info': {'metric_reference': {'accuracy_ap[.5:.95]%': 37.4}}}
INFO:20240615-112224: import - yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx - this may take some time...Compiling Models
*********************************
Runtime Options : {'platform': 'J7', 'version': '8.2', 'tidl_tools_path': '/home/keerthitheja/Downloads/edgeai-benchmark-r8.5/tools/TDA4VM/tidl_tools', 'artifacts_folder': '/home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/artifacts', 'tensor_bits': 8, 'import': 'yes', 'accuracy_level': 1, 'debug_level': 2, 'priority': 0, 'advanced_options:high_resolution_optimization': 0, 'advanced_options:pre_batchnorm_fold': 1, 'advanced_options:calibration_frames': 2, 'advanced_options:calibration_iterations': 1, 'advanced_options:quantization_scale_type': 0, 'advanced_options:activation_clipping': 1, 'advanced_options:weight_clipping': 1, 'advanced_options:bias_calibration': 1, 'advanced_options:channel_wise_quantization': 0, 'advanced_options:output_feature_16bit_names_list': '', 'advanced_options:params_16bit_names_list': '', 'advanced_options:add_data_convert_ops': 3, 'object_detection:confidence_threshold': 0.3, 'object_detection:top_k': 300, 'object_detection:meta_arch_type': 6, 'object_detection:meta_layers_names_list': '/home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/model/best.prototxt'}
Session Options : <onnxruntime.capi.onnxruntime_pybind11_state.SessionOptions object at 0x7ff8e08dda30>
EP List : ['TIDLCompilationProvider', 'CPUExecutionProvider']
tidl_tools_path = /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/tools/TDA4VM/tidl_tools
artifacts_folder = /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/artifacts
tidl_tensor_bits = 8
debug_level = 2
num_tidl_subgraphs = 16
tidl_denylist =
tidl_denylist_layer_name =
tidl_denylist_layer_type =
model_type =
tidl_calibration_accuracy_level = 7
tidl_calibration_options:num_frames_calibration = 2
tidl_calibration_options:bias_calibration_iterations = 1
mixed_precision_factor = -1.000000
model_group_id = 0
power_of_2_quantization = 2
enable_high_resolution_optimization = 0
pre_batchnorm_fold = 1
add_data_convert_ops = 3
output_feature_16bit_names_list =
m_params_16bit_names_list =
reserved_compile_constraints_flag = 1601
ti_internal_reserved_1 =
TIDL Meta PipeLine (Proto) File : /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/model/best.prototxt
yolo_v3
yolo_v3
Number of OD backbone nodes = 263
Size of odBackboneNodeIds = 263
Supported TIDL layer type --- Cast --
Supported TIDL layer type --- Add --
Supported TIDL layer type --- Mul --
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_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 --- Conv -- Conv_13
Supported TIDL layer type --- Relu -- Relu_14
Supported TIDL layer type --- Conv -- Conv_15
Supported TIDL layer type --- Relu -- Relu_16
Supported TIDL layer type --- Add -- Add_17
Supported TIDL layer type --- Conv -- Conv_18
Supported TIDL layer type --- Relu -- Relu_19
Supported TIDL layer type --- Concat -- Concat_20
Supported TIDL layer type --- Conv -- Conv_21
Supported TIDL layer type --- Relu -- Relu_22
Supported TIDL layer type --- Conv -- Conv_23
Supported TIDL layer type --- Relu -- Relu_24
Supported TIDL layer type --- Conv -- Conv_25
Supported TIDL layer type --- Relu -- Relu_26
Supported TIDL layer type --- Conv -- Conv_27
Supported TIDL layer type --- Relu -- Relu_28
Supported TIDL layer type --- Conv -- Conv_29
Supported TIDL layer type --- 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 --- Conv -- Conv_37
Supported TIDL layer type --- Relu -- Relu_38
Supported TIDL layer type --- Conv -- Conv_39
Supported TIDL layer type --- Relu -- Relu_40
Supported TIDL layer type --- Add -- Add_41
Supported TIDL layer type --- Conv -- Conv_42
Supported TIDL layer type --- Relu -- Relu_43
Supported TIDL layer type --- Conv -- Conv_44
Supported TIDL layer type --- Relu -- Relu_45
Supported TIDL layer type --- Add -- Add_46
Supported TIDL layer type --- Conv -- Conv_47
Supported TIDL layer type --- Relu -- Relu_48
Supported TIDL layer type --- Conv -- Conv_49
Supported TIDL layer type --- Relu -- Relu_50
Supported TIDL layer type --- Add -- Add_51
Supported TIDL layer type --- Conv -- Conv_52
Supported TIDL layer type --- Relu -- Relu_53
Supported TIDL layer type --- Conv -- Conv_54
Supported TIDL layer type --- Relu -- Relu_55
Supported TIDL layer type --- Add -- Add_56
Supported TIDL layer type --- Conv -- Conv_57
Supported TIDL layer type --- Relu -- Relu_58
Supported TIDL layer type --- Concat -- Concat_59
Supported TIDL layer type --- Conv -- Conv_60
Supported TIDL layer type --- Relu -- Relu_61
Supported TIDL layer type --- Conv -- Conv_62
Supported TIDL layer type --- Relu -- Relu_63
Supported TIDL layer type --- Conv -- Conv_64
Supported TIDL layer type --- Relu -- Relu_65
Supported TIDL layer type --- Conv -- Conv_66
Supported TIDL layer type --- Relu -- Relu_67
Supported TIDL layer type --- Conv -- Conv_68
Supported TIDL layer type --- Relu -- Relu_69
Supported TIDL layer type --- Add -- Add_70
Supported TIDL layer type --- Conv -- Conv_71
Supported TIDL layer type --- Relu -- Relu_72
Supported TIDL layer type --- Conv -- Conv_73
Supported TIDL layer type --- Relu -- Relu_74
Supported TIDL layer type --- Add -- Add_75
Supported TIDL layer type --- Conv -- Conv_76
Supported TIDL layer type --- Relu -- Relu_77
Supported TIDL layer type --- Conv -- Conv_78
Supported TIDL layer type --- Relu -- Relu_79
Supported TIDL layer type --- Add -- Add_80
Supported TIDL layer type --- Conv -- Conv_81
Supported TIDL layer type --- Relu -- Relu_82
Supported TIDL layer type --- Conv -- Conv_83
Supported TIDL layer type --- Relu -- Relu_84
Supported TIDL layer type --- Add -- Add_85
Supported TIDL layer type --- Conv -- Conv_86
Supported TIDL layer type --- Relu -- Relu_87
Supported TIDL layer type --- Conv -- Conv_88
Supported TIDL layer type --- Relu -- Relu_89
Supported TIDL layer type --- Add -- Add_90
Supported TIDL layer type --- Conv -- Conv_91
Supported TIDL layer type --- Relu -- Relu_92
Supported TIDL layer type --- Conv -- Conv_93
Supported TIDL layer type --- Relu -- Relu_94
Supported TIDL layer type --- Add -- Add_95
Supported TIDL layer type --- Conv -- Conv_96
Supported TIDL layer type --- Relu -- Relu_97
Supported TIDL layer type --- Concat -- Concat_98
Supported TIDL layer type --- Conv -- Conv_99
Supported TIDL layer type --- Relu -- Relu_100
Supported TIDL layer type --- Conv -- Conv_101
Supported TIDL layer type --- Relu -- Relu_102
Supported TIDL layer type --- Conv -- Conv_103
Supported TIDL layer type --- Relu -- Relu_104
Supported TIDL layer type --- Conv -- Conv_105
Supported TIDL layer type --- Relu -- Relu_106
Supported TIDL layer type --- Conv -- Conv_107
Supported TIDL layer type --- Relu -- Relu_108
Supported TIDL layer type --- Add -- Add_109
Supported TIDL layer type --- Conv -- Conv_110
Supported TIDL layer type --- Relu -- Relu_111
Supported TIDL layer type --- Conv -- Conv_112
Supported TIDL layer type --- Relu -- Relu_113
Supported TIDL layer type --- Add -- Add_114
Supported TIDL layer type --- Conv -- Conv_115
Supported TIDL layer type --- Relu -- Relu_116
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 --- Conv -- Conv_122
Supported TIDL layer type --- Relu -- Relu_123
Supported TIDL layer type --- MaxPool -- MaxPool_124
Supported TIDL layer type --- MaxPool -- MaxPool_126
Supported TIDL layer type --- MaxPool -- MaxPool_129
Supported TIDL layer type --- Concat -- Concat_130
Supported TIDL layer type --- Conv -- Conv_131
Supported TIDL layer type --- Relu -- Relu_132
Supported TIDL layer type --- Conv -- Conv_133
Supported TIDL layer type --- Relu -- Relu_134
Supported TIDL layer type --- Conv -- Conv_135
Supported TIDL layer type --- Relu -- Relu_136
Supported TIDL layer type --- Conv -- Conv_137
Supported TIDL layer type --- Relu -- Relu_138
Supported TIDL layer type --- Conv -- Conv_139
Supported TIDL layer type --- Relu -- Relu_140
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 --- Concat -- Concat_145
Supported TIDL layer type --- Conv -- Conv_146
Supported TIDL layer type --- Relu -- Relu_147
Supported TIDL layer type --- Conv -- Conv_148
Supported TIDL layer type --- Relu -- Relu_149
Supported TIDL layer type --- Resize -- Resize_151
Supported TIDL layer type --- Concat -- Concat_152
Supported TIDL layer type --- Conv -- Conv_153
Supported TIDL layer type --- Relu -- Relu_154
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 --- Conv -- Conv_161
Supported TIDL layer type --- Relu -- Relu_162
Supported TIDL layer type --- Conv -- Conv_163
Supported TIDL layer type --- Relu -- Relu_164
Supported TIDL layer type --- Concat -- Concat_165
Supported TIDL layer type --- Conv -- Conv_166
Supported TIDL layer type --- Relu -- Relu_167
Supported TIDL layer type --- Conv -- Conv_168
Supported TIDL layer type --- Relu -- Relu_169
Supported TIDL layer type --- Resize -- Resize_171
Supported TIDL layer type --- Concat -- Concat_172
Supported TIDL layer type --- Conv -- Conv_173
Supported TIDL layer type --- Relu -- Relu_174
Supported TIDL layer type --- Conv -- Conv_175
Supported TIDL layer type --- Relu -- Relu_176
Supported TIDL layer type --- Conv -- Conv_177
Supported TIDL layer type --- Relu -- Relu_178
Supported TIDL layer type --- Conv -- Conv_179
Supported TIDL layer type --- Relu -- Relu_180
Supported TIDL layer type --- Conv -- Conv_181
Supported TIDL layer type --- Relu -- Relu_182
Supported TIDL layer type --- Conv -- Conv_183
Supported TIDL layer type --- Relu -- Relu_184
Supported TIDL layer type --- Concat -- Concat_185
Supported TIDL layer type --- Conv -- Conv_186
Supported TIDL layer type --- Relu -- Relu_187
Supported TIDL layer type --- Conv -- Conv_188
Supported TIDL layer type --- Relu -- Relu_189
Supported TIDL layer type --- Resize -- Resize_191
Supported TIDL layer type --- Concat -- Concat_192
Supported TIDL layer type --- Conv -- Conv_193
Supported TIDL layer type --- Relu -- Relu_194
Supported TIDL layer type --- Conv -- Conv_195
Supported TIDL layer type --- Relu -- Relu_196
Supported TIDL layer type --- Conv -- Conv_197
Supported TIDL layer type --- Relu -- Relu_198
Supported TIDL layer type --- Conv -- Conv_199
Supported TIDL layer type --- Relu -- Relu_200
Supported TIDL layer type --- Conv -- Conv_201
Supported TIDL layer type --- Relu -- Relu_202
Supported TIDL layer type --- Conv -- Conv_203
Supported TIDL layer type --- Relu -- Relu_204
Supported TIDL layer type --- Concat -- Concat_205
Supported TIDL layer type --- Conv -- Conv_206
Supported TIDL layer type --- Relu -- Relu_207
Supported TIDL layer type --- Conv -- Conv_208
Supported TIDL layer type --- Relu -- Relu_209
Supported TIDL layer type --- Concat -- Concat_210
Supported TIDL layer type --- Conv -- Conv_211
Supported TIDL layer type --- Relu -- Relu_212
Supported TIDL layer type --- Conv -- Conv_213
Supported TIDL layer type --- Relu -- Relu_214
Supported TIDL layer type --- Conv -- Conv_215
Supported TIDL layer type --- Relu -- Relu_216
Supported TIDL layer type --- Conv -- Conv_217
Supported TIDL layer type --- Relu -- Relu_218
Supported TIDL layer type --- Conv -- Conv_219
Supported TIDL layer type --- Relu -- Relu_220
Supported TIDL layer type --- Conv -- Conv_221
Supported TIDL layer type --- Relu -- Relu_222
Supported TIDL layer type --- Concat -- Concat_223
Supported TIDL layer type --- Conv -- Conv_224
Supported TIDL layer type --- Relu -- Relu_225
Supported TIDL layer type --- Conv -- Conv_226
Supported TIDL layer type --- Relu -- Relu_227
Supported TIDL layer type --- Concat -- Concat_228
Supported TIDL layer type --- Conv -- Conv_229
Supported TIDL layer type --- Relu -- Relu_230
Supported TIDL layer type --- Conv -- Conv_231
Supported TIDL layer type --- Relu -- Relu_232
Supported TIDL layer type --- Conv -- Conv_233
Supported TIDL layer type --- Relu -- Relu_234
Supported TIDL layer type --- Conv -- Conv_235
Supported TIDL layer type --- Relu -- Relu_236
Supported TIDL layer type --- Conv -- Conv_237
Supported TIDL layer type --- Relu -- Relu_238
Supported TIDL layer type --- Conv -- Conv_239
Supported TIDL layer type --- Relu -- Relu_240
Supported TIDL layer type --- Concat -- Concat_241
Supported TIDL layer type --- Conv -- Conv_242
Supported TIDL layer type --- Relu -- Relu_243
Supported TIDL layer type --- Conv -- Conv_244
Supported TIDL layer type --- Relu -- Relu_245
Supported TIDL layer type --- Concat -- Concat_246
Supported TIDL layer type --- Conv -- Conv_247
Supported TIDL layer type --- Relu -- Relu_248
Supported TIDL layer type --- Conv -- Conv_249
Supported TIDL layer type --- Relu -- Relu_250
Supported TIDL layer type --- Conv -- Conv_251
Supported TIDL layer type --- Relu -- Relu_252
Supported TIDL layer type --- Conv -- Conv_253
Supported TIDL layer type --- Relu -- Relu_254
Supported TIDL layer type --- Conv -- Conv_255
Supported TIDL layer type --- Relu -- Relu_256
Supported TIDL layer type --- Conv -- Conv_257
Supported TIDL layer type --- Relu -- Relu_258
Supported TIDL layer type --- Concat -- Concat_259
Supported TIDL layer type --- Conv -- Conv_260
Supported TIDL layer type --- Relu -- Relu_261
Supported TIDL layer type --- Conv -- Conv_262
Supported TIDL layer type --- Conv -- Conv_310
Supported TIDL layer type --- Conv -- Conv_358
Supported TIDL layer type --- Conv -- Conv_406
Preliminary subgraphs created = 1
Final number of subgraphs created are : 1, - Offloaded Nodes - 364, Total Nodes - 364
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/keerthitheja/Downloads/edgeai-benchmark-r8.5/tools/TDA4VM/tidl_tools/tidl_graphVisualiser_runtimes.out /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/artifacts/allowedNode.txt /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/artifacts/tempDir/graphvizInfo.txt /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/artifacts/tempDir/runtimes_visualization.svg
*** In TIDL_createStateImportFunc ***
Compute on node : TIDLExecutionProvider_TIDL_0_0
0, Cast, 1, 1, imagesNet_IN, TIDL_cast_in
1, Add, 2, 1, TIDL_cast_in, TIDL_Scale_In
2, Mul, 2, 1, TIDL_Scale_In, images
3, Conv, 3, 1, images, 227
4, Relu, 1, 1, 227, 228
5, Conv, 3, 1, 228, 229
6, Relu, 1, 1, 229, 230
7, Conv, 3, 1, 230, 231
8, Relu, 1, 1, 231, 232
9, Conv, 3, 1, 232, 233
10, Relu, 1, 1, 233, 234
11, Conv, 3, 1, 234, 235
12, Relu, 1, 1, 235, 236
13, Conv, 3, 1, 236, 237
14, Relu, 1, 1, 237, 238
15, Add, 2, 1, 234, 239
16, Conv, 3, 1, 239, 240
17, Relu, 1, 1, 240, 241
18, Conv, 3, 1, 241, 242
19, Relu, 1, 1, 242, 243
20, Add, 2, 1, 239, 244
21, Conv, 3, 1, 232, 245
22, Relu, 1, 1, 245, 246
23, Concat, 2, 1, 244, 247
24, Conv, 3, 1, 247, 248
25, Relu, 1, 1, 248, 249
26, Conv, 3, 1, 249, 250
27, Relu, 1, 1, 250, 251
28, Conv, 3, 1, 251, 252
29, Relu, 1, 1, 252, 253
30, Conv, 3, 1, 253, 254
31, Relu, 1, 1, 254, 255
32, Conv, 3, 1, 255, 256
33, Relu, 1, 1, 256, 257
34, Add, 2, 1, 253, 258
35, Conv, 3, 1, 258, 259
36, Relu, 1, 1, 259, 260
37, Conv, 3, 1, 260, 261
38, Relu, 1, 1, 261, 262
39, Add, 2, 1, 258, 263
40, Conv, 3, 1, 263, 264
41, Relu, 1, 1, 264, 265
42, Conv, 3, 1, 265, 266
43, Relu, 1, 1, 266, 267
44, Add, 2, 1, 263, 268
45, Conv, 3, 1, 268, 269
46, Relu, 1, 1, 269, 270
47, Conv, 3, 1, 270, 271
48, Relu, 1, 1, 271, 272
49, Add, 2, 1, 268, 273
50, Conv, 3, 1, 273, 274
51, Relu, 1, 1, 274, 275
52, Conv, 3, 1, 275, 276
53, Relu, 1, 1, 276, 277
54, Add, 2, 1, 273, 278
55, Conv, 3, 1, 278, 279
56, Relu, 1, 1, 279, 280
57, Conv, 3, 1, 280, 281
58, Relu, 1, 1, 281, 282
59, Add, 2, 1, 278, 283
60, Conv, 3, 1, 251, 284
61, Relu, 1, 1, 284, 285
62, Concat, 2, 1, 283, 286
63, Conv, 3, 1, 286, 287
64, Relu, 1, 1, 287, 288
65, Conv, 3, 1, 288, 289
66, Relu, 1, 1, 289, 290
67, Conv, 3, 1, 290, 291
68, Relu, 1, 1, 291, 292
69, Conv, 3, 1, 292, 293
70, Relu, 1, 1, 293, 294
71, Conv, 3, 1, 294, 295
72, Relu, 1, 1, 295, 296
73, Add, 2, 1, 292, 297
74, Conv, 3, 1, 297, 298
75, Relu, 1, 1, 298, 299
76, Conv, 3, 1, 299, 300
77, Relu, 1, 1, 300, 301
78, Add, 2, 1, 297, 302
79, Conv, 3, 1, 302, 303
80, Relu, 1, 1, 303, 304
81, Conv, 3, 1, 304, 305
82, Relu, 1, 1, 305, 306
83, Add, 2, 1, 302, 307
84, Conv, 3, 1, 307, 308
85, Relu, 1, 1, 308, 309
86, Conv, 3, 1, 309, 310
87, Relu, 1, 1, 310, 311
88, Add, 2, 1, 307, 312
89, Conv, 3, 1, 312, 313
90, Relu, 1, 1, 313, 314
91, Conv, 3, 1, 314, 315
92, Relu, 1, 1, 315, 316
93, Add, 2, 1, 312, 317
94, Conv, 3, 1, 317, 318
95, Relu, 1, 1, 318, 319
96, Conv, 3, 1, 319, 320
97, Relu, 1, 1, 320, 321
98, Add, 2, 1, 317, 322
99, Conv, 3, 1, 290, 323
100, Relu, 1, 1, 323, 324
101, Concat, 2, 1, 322, 325
102, Conv, 3, 1, 325, 326
103, Relu, 1, 1, 326, 327
104, Conv, 3, 1, 327, 328
105, Relu, 1, 1, 328, 329
106, Conv, 3, 1, 329, 330
107, Relu, 1, 1, 330, 331
108, Conv, 3, 1, 331, 332
109, Relu, 1, 1, 332, 333
110, Conv, 3, 1, 333, 334
111, Relu, 1, 1, 334, 335
112, Add, 2, 1, 331, 336
113, Conv, 3, 1, 336, 337
114, Relu, 1, 1, 337, 338
115, Conv, 3, 1, 338, 339
116, Relu, 1, 1, 339, 340
117, Add, 2, 1, 336, 341
118, Conv, 3, 1, 329, 342
119, Relu, 1, 1, 342, 343
120, Concat, 2, 1, 341, 344
121, Conv, 3, 1, 344, 345
122, Relu, 1, 1, 345, 346
123, Conv, 3, 1, 346, 347
124, Relu, 1, 1, 347, 348
125, Conv, 3, 1, 348, 349
126, Relu, 1, 1, 349, 350
127, MaxPool, 1, 1, 350, 351
128, MaxPool, 1, 1, 351, 353
129, MaxPool, 1, 1, 353, 356
130, Concat, 4, 1, 350, 357
131, Conv, 3, 1, 357, 358
132, Relu, 1, 1, 358, 359
133, Conv, 3, 1, 359, 360
134, Relu, 1, 1, 360, 361
135, Conv, 3, 1, 361, 362
136, Relu, 1, 1, 362, 363
137, Conv, 3, 1, 363, 364
138, Relu, 1, 1, 364, 365
139, Conv, 3, 1, 365, 366
140, Relu, 1, 1, 366, 367
141, Conv, 3, 1, 367, 368
142, Relu, 1, 1, 368, 369
143, Conv, 3, 1, 359, 370
144, Relu, 1, 1, 370, 371
145, Concat, 2, 1, 369, 372
146, Conv, 3, 1, 372, 373
147, Relu, 1, 1, 373, 374
148, Conv, 3, 1, 374, 375
149, Relu, 1, 1, 375, 376
150, Resize, 3, 1, 376, 381
151, Concat, 2, 1, 381, 382
152, Conv, 3, 1, 382, 383
153, Relu, 1, 1, 383, 384
154, Conv, 3, 1, 384, 385
155, Relu, 1, 1, 385, 386
156, Conv, 3, 1, 386, 387
157, Relu, 1, 1, 387, 388
158, Conv, 3, 1, 388, 389
159, Relu, 1, 1, 389, 390
160, Conv, 3, 1, 390, 391
161, Relu, 1, 1, 391, 392
162, Conv, 3, 1, 382, 393
163, Relu, 1, 1, 393, 394
164, Concat, 2, 1, 392, 395
165, Conv, 3, 1, 395, 396
166, Relu, 1, 1, 396, 397
167, Conv, 3, 1, 397, 398
168, Relu, 1, 1, 398, 399
169, Resize, 3, 1, 399, 404
170, Concat, 2, 1, 404, 405
171, Conv, 3, 1, 405, 406
172, Relu, 1, 1, 406, 407
173, Conv, 3, 1, 407, 408
174, Relu, 1, 1, 408, 409
175, Conv, 3, 1, 409, 410
176, Relu, 1, 1, 410, 411
177, Conv, 3, 1, 411, 412
178, Relu, 1, 1, 412, 413
179, Conv, 3, 1, 413, 414
180, Relu, 1, 1, 414, 415
181, Conv, 3, 1, 405, 416
182, Relu, 1, 1, 416, 417
183, Concat, 2, 1, 415, 418
184, Conv, 3, 1, 418, 419
185, Relu, 1, 1, 419, 420
186, Conv, 3, 1, 420, 421
187, Relu, 1, 1, 421, 422
188, Resize, 3, 1, 422, 427
189, Concat, 2, 1, 427, 428
190, Conv, 3, 1, 428, 429
191, Relu, 1, 1, 429, 430
192, Conv, 3, 1, 430, 431
193, Relu, 1, 1, 431, 432
194, Conv, 3, 1, 432, 433
195, Relu, 1, 1, 433, 434
196, Conv, 3, 1, 434, 435
197, Relu, 1, 1, 435, 436
198, Conv, 3, 1, 436, 437
199, Relu, 1, 1, 437, 438
200, Conv, 3, 1, 428, 439
201, Relu, 1, 1, 439, 440
202, Concat, 2, 1, 438, 441
203, Conv, 3, 1, 441, 442
204, Relu, 1, 1, 442, 443
205, Conv, 3, 1, 443, 498
206, Reshape, 2, 1, 498, 516
207, Transpose, 1, 1, 516, 517
208, Sigmoid, 1, 1, 517, 518
209, Slice, 5, 1, 518, 523
210, Mul, 2, 1, 523, 525
211, Sub, 2, 1, 525, 527
212, Add, 2, 1, 527, 529
213, Mul, 2, 1, 529, 531
214, Slice, 5, 1, 518, 536
215, Mul, 2, 1, 536, 538
216, Pow, 2, 1, 538, 541
217, Mul, 2, 1, 541, 546
218, Slice, 5, 1, 518, 551
219, Concat, 3, 1, 531, 552
220, Reshape, 2, 1, 552, 559
221, Conv, 3, 1, 443, 444
222, Relu, 1, 1, 444, 445
223, Concat, 2, 1, 445, 446
224, Conv, 3, 1, 446, 447
225, Relu, 1, 1, 447, 448
226, Conv, 3, 1, 448, 449
227, Relu, 1, 1, 449, 450
228, Conv, 3, 1, 450, 451
229, Relu, 1, 1, 451, 452
230, Conv, 3, 1, 452, 453
231, Relu, 1, 1, 453, 454
232, Conv, 3, 1, 454, 455
233, Relu, 1, 1, 455, 456
234, Conv, 3, 1, 446, 457
235, Relu, 1, 1, 457, 458
236, Concat, 2, 1, 456, 459
237, Conv, 3, 1, 459, 460
238, Relu, 1, 1, 460, 461
239, Conv, 3, 1, 461, 560
240, Reshape, 2, 1, 560, 578
241, Transpose, 1, 1, 578, 579
242, Sigmoid, 1, 1, 579, 580
243, Slice, 5, 1, 580, 585
244, Mul, 2, 1, 585, 587
245, Sub, 2, 1, 587, 589
246, Add, 2, 1, 589, 591
247, Mul, 2, 1, 591, 593
248, Slice, 5, 1, 580, 598
249, Mul, 2, 1, 598, 600
250, Pow, 2, 1, 600, 603
251, Mul, 2, 1, 603, 608
252, Slice, 5, 1, 580, 613
253, Concat, 3, 1, 593, 614
254, Reshape, 2, 1, 614, 621
255, Conv, 3, 1, 461, 462
256, Relu, 1, 1, 462, 463
257, Concat, 2, 1, 463, 464
258, Conv, 3, 1, 464, 465
259, Relu, 1, 1, 465, 466
260, Conv, 3, 1, 466, 467
261, Relu, 1, 1, 467, 468
262, Conv, 3, 1, 468, 469
263, Relu, 1, 1, 469, 470
264, Conv, 3, 1, 470, 471
265, Relu, 1, 1, 471, 472
266, Conv, 3, 1, 472, 473
267, Relu, 1, 1, 473, 474
268, Conv, 3, 1, 464, 475
269, Relu, 1, 1, 475, 476
270, Concat, 2, 1, 474, 477
271, Conv, 3, 1, 477, 478
272, Relu, 1, 1, 478, 479
273, Conv, 3, 1, 479, 622
274, Reshape, 2, 1, 622, 640
275, Transpose, 1, 1, 640, 641
276, Sigmoid, 1, 1, 641, 642
277, Slice, 5, 1, 642, 647
278, Mul, 2, 1, 647, 649
279, Sub, 2, 1, 649, 651
280, Add, 2, 1, 651, 653
281, Mul, 2, 1, 653, 655
282, Slice, 5, 1, 642, 660
283, Mul, 2, 1, 660, 662
284, Pow, 2, 1, 662, 665
285, Mul, 2, 1, 665, 670
286, Slice, 5, 1, 642, 675
287, Concat, 3, 1, 655, 676
288, Reshape, 2, 1, 676, 683
289, Conv, 3, 1, 479, 480
290, Relu, 1, 1, 480, 481
291, Concat, 2, 1, 481, 482
292, Conv, 3, 1, 482, 483
293, Relu, 1, 1, 483, 484
294, Conv, 3, 1, 484, 485
295, Relu, 1, 1, 485, 486
296, Conv, 3, 1, 486, 487
297, Relu, 1, 1, 487, 488
298, Conv, 3, 1, 488, 489
299, Relu, 1, 1, 489, 490
300, Conv, 3, 1, 490, 491
301, Relu, 1, 1, 491, 492
302, Conv, 3, 1, 482, 493
303, Relu, 1, 1, 493, 494
304, Concat, 2, 1, 492, 495
305, Conv, 3, 1, 495, 496
306, Relu, 1, 1, 496, 497
307, Conv, 3, 1, 497, 684
308, Reshape, 2, 1, 684, 702
309, Transpose, 1, 1, 702, 703
310, Sigmoid, 1, 1, 703, 704
311, Slice, 5, 1, 704, 709
312, Mul, 2, 1, 709, 711
313, Sub, 2, 1, 711, 713
314, Add, 2, 1, 713, 715
315, Mul, 2, 1, 715, 717
316, Slice, 5, 1, 704, 722
317, Mul, 2, 1, 722, 724
318, Pow, 2, 1, 724, 727
319, Mul, 2, 1, 727, 732
320, Slice, 5, 1, 704, 737
321, Concat, 3, 1, 717, 738
322, Reshape, 2, 1, 738, 745
323, Concat, 4, 1, 559, 746
324, Squeeze, 1, 1, 746, 752
325, Gather, 2, 1, 746, 748
326, Greater, 2, 1, 748, 750
327, Gather, 2, 1, 750, 754
328, NonZero, 1, 1, 754, 756
329, Transpose, 1, 1, 756, 757
330, GatherND, 2, 1, 752, 758
331, Slice, 5, 1, 758, 763
332, Slice, 5, 1, 758, 773
333, Div, 2, 1, 773, 792
334, Sub, 2, 1, 763, 796
335, Slice, 5, 1, 758, 768
336, Slice, 5, 1, 758, 778
337, Div, 2, 1, 778, 795
338, Sub, 2, 1, 768, 797
339, Add, 2, 1, 763, 798
340, Add, 2, 1, 768, 799
341, Slice, 5, 1, 758, 783
342, Slice, 5, 1, 758, 788
343, Mul, 2, 1, 783, 789
344, ArgMax, 1, 1, 789, 802
345, Cast, 1, 1, 802, 803
346, ReduceMax, 1, 1, 789, 801
347, Concat, 6, 1, 796, 804
348, Reshape, 2, 1, 801, 806
349, Greater, 2, 1, 806, 808
350, NonZero, 1, 1, 808, 810
351, Transpose, 1, 1, 810, 811
352, GatherND, 2, 1, 804, 812
353, Slice, 5, 1, 812, 817
354, Mul, 2, 1, 817, 819
355, Slice, 5, 1, 812, 824
356, Add, 2, 1, 824, 825
357, Unsqueeze, 1, 1, 825, 828
358, Gather, 2, 1, 812, 827
359, Unsqueeze, 1, 1, 827, 830
360, NonMaxSuppression, 4, 1, 828, 833
361, Gather, 2, 1, 833, 835
362, Squeeze, 1, 1, 835, 836
363, Gather, 2, 1, 812, detections
Input tensor name - imagesNet_IN
Output tensor name - detections
Interpretation complete
********************************
In TIDL_onnxRtImportInit subgraph_name=detections
Layer 0, subgraph id detections, name=498
Layer 1, subgraph id detections, name=560
Layer 2, subgraph id detections, name=622
Layer 3, subgraph id detections, name=684
Layer 4, subgraph id detections, name=imagesNet_IN
TIDL Meta PipeLine (Proto) File : /home/keerthitheja/Downloads/edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/model/best.prototxt
yolo_v3
yolo_v3
In TIDL_runtimesOptimizeNet: LayerIndex = 268, dataIndex = 264
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_151 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_171 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_191 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] Network compiler returned with error or didn't executed, this model can only be used on PC/Host emulation mode, it is not expected to work on target/EVM.
****************************************************
** 4 WARNINGS 0 ERRORS **
****************************************************
************ in TIDL_subgraphRtCreate ************
The soft limit is 2048
The hard limit is 2048
MEM: Init ... !!!
MEM: Init ... Done !!!
0.0s: VX_ZONE_INIT:Enabled
0.34s: VX_ZONE_ERROR:Enabled
0.36s: VX_ZONE_WARNING:Enabled
0.1856s: VX_ZONE_INIT:[tivxInit:184] Initialization 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
Alg Alloc for Layer # - 119
Alg Alloc for Layer # - 120
Alg Alloc for Layer # - 121
Alg Alloc for Layer # - 122
Alg Alloc for Layer # - 123
Alg Alloc for Layer # - 124
Alg Alloc for Layer # - 125
Alg Alloc for Layer # - 126
Alg Alloc for Layer # - 127
Alg Alloc for Layer # - 128
Alg Alloc for Layer # - 129
Alg Alloc for Layer # - 130
Alg Alloc for Layer # - 131
Alg Alloc for Layer # - 132
Alg Alloc for Layer # - 133
Alg Alloc for Layer # - 134
Alg Alloc for Layer # - 135
Alg Alloc for Layer # - 136
Alg Alloc for Layer # - 137
Alg Alloc for Layer # - 138
Alg Alloc for Layer # - 139
Alg Alloc for Layer # - 140
Alg Alloc for Layer # - 141
Alg Alloc for Layer # - 142
Alg Alloc for Layer # - 143
Alg Alloc for Layer # - 144
Alg Alloc for Layer # - 145
Alg Alloc for Layer # - 146
Alg Alloc for Layer # - 147
Alg Alloc for Layer # - 148
Alg Alloc for Layer # - 149
Alg Alloc for Layer # - 150
Alg Alloc for Layer # - 151
Alg Alloc for Layer # - 152
Alg Alloc for Layer # - 153
Alg Alloc for Layer # - 154
Alg Alloc for Layer # - 155
Alg Alloc for Layer # - 156
--------------------------------------------
TIDL Memory size requiement (record wise):
MemRecNum , Space , Attribute , Size(KBytes)
0 , DDR Non-cacheable, Persistent , 14.86
1 , DDR Non-cacheable, Persistent , 0.14
2 , DDR Non-cacheable, Scratch , 16.00
3 , DDR Non-cacheable, Scratch , 4.00
4 , DDR Non-cacheable, Scratch , 56.00
5 , DDR Non-cacheable, Persistent , 220.02
6 , DDR Non-cacheable, Scratch , 161407.65
7 , DDR Non-cacheable, Scratch , 0.12
8 , DDR Non-cacheable, Scratch , 38400.12
9 , DDR Non-cacheable, Scratch , 155527.50
10 , DDR Non-cacheable, Scratch , 0.12
11 , DDR Non-cacheable, Persistent , 1597.88
12 , DDR Non-cacheable, Scratch , 3962.41
13 , DDR Non-cacheable, Persistent , 0.12
14 , DDR Non-cacheable, Persistent , 0.12
15 , DDR Non-cacheable, Persistent , 0.12
--------------------------------------------
Total memory size requirement (space wise):
Mem Space , Size(KBytes)
DDR Non-cacheable, 361207.20
--------------------------------------------
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 = 2
--------------------------------------------
Alg Init for Layer # - 0 out of 156
Alg Init for Layer # - 1 out of 156
Alg Init for Layer # - 2 out of 156
Alg Init for Layer # - 3 out of 156
Alg Init for Layer # - 4 out of 156
Alg Init for Layer # - 5 out of 156
Alg Init for Layer # - 6 out of 156
Alg Init for Layer # - 7 out of 156
Alg Init for Layer # - 8 out of 156
Alg Init for Layer # - 9 out of 156
Alg Init for Layer # - 10 out of 156
Alg Init for Layer # - 11 out of 156
Alg Init for Layer # - 12 out of 156
Alg Init for Layer # - 13 out of 156
Alg Init for Layer # - 14 out of 156
Alg Init for Layer # - 15 out of 156
Alg Init for Layer # - 16 out of 156
Alg Init for Layer # - 17 out of 156
Alg Init for Layer # - 18 out of 156
Alg Init for Layer # - 19 out of 156
Alg Init for Layer # - 20 out of 156
Alg Init for Layer # - 21 out of 156
Alg Init for Layer # - 22 out of 156
Alg Init for Layer # - 23 out of 156
Alg Init for Layer # - 24 out of 156
Alg Init for Layer # - 25 out of 156
Alg Init for Layer # - 26 out of 156
Alg Init for Layer # - 27 out of 156
Alg Init for Layer # - 28 out of 156
Alg Init for Layer # - 29 out of 156
Alg Init for Layer # - 30 out of 156
Alg Init for Layer # - 31 out of 156
Alg Init for Layer # - 32 out of 156
Alg Init for Layer # - 33 out of 156
Alg Init for Layer # - 34 out of 156
Alg Init for Layer # - 35 out of 156
Alg Init for Layer # - 36 out of 156
Alg Init for Layer # - 37 out of 156
Alg Init for Layer # - 38 out of 156
Alg Init for Layer # - 39 out of 156
Alg Init for Layer # - 40 out of 156
Alg Init for Layer # - 41 out of 156
Alg Init for Layer # - 42 out of 156
Alg Init for Layer # - 43 out of 156
Alg Init for Layer # - 44 out of 156
Alg Init for Layer # - 45 out of 156
Alg Init for Layer # - 46 out of 156
Alg Init for Layer # - 47 out of 156
Alg Init for Layer # - 48 out of 156
Alg Init for Layer # - 49 out of 156
Alg Init for Layer # - 50 out of 156
Alg Init for Layer # - 51 out of 156
Alg Init for Layer # - 52 out of 156
Alg Init for Layer # - 53 out of 156
Alg Init for Layer # - 54 out of 156
Alg Init for Layer # - 55 out of 156
Alg Init for Layer # - 56 out of 156
Alg Init for Layer # - 57 out of 156
Alg Init for Layer # - 58 out of 156
Alg Init for Layer # - 59 out of 156
Alg Init for Layer # - 60 out of 156
Alg Init for Layer # - 61 out of 156
Alg Init for Layer # - 62 out of 156
Alg Init for Layer # - 63 out of 156
Alg Init for Layer # - 64 out of 156
Alg Init for Layer # - 65 out of 156
Alg Init for Layer # - 66 out of 156
Alg Init for Layer # - 67 out of 156
Alg Init for Layer # - 68 out of 156
Alg Init for Layer # - 69 out of 156
Alg Init for Layer # - 70 out of 156
Alg Init for Layer # - 71 out of 156
Alg Init for Layer # - 72 out of 156
Alg Init for Layer # - 73 out of 156
Alg Init for Layer # - 74 out of 156
Alg Init for Layer # - 75 out of 156
Alg Init for Layer # - 76 out of 156
Alg Init for Layer # - 77 out of 156
Alg Init for Layer # - 78 out of 156
Alg Init for Layer # - 79 out of 156
Alg Init for Layer # - 80 out of 156
Alg Init for Layer # - 81 out of 156
Alg Init for Layer # - 82 out of 156
Alg Init for Layer # - 83 out of 156
Alg Init for Layer # - 84 out of 156
Alg Init for Layer # - 85 out of 156
Alg Init for Layer # - 86 out of 156
Alg Init for Layer # - 87 out of 156
Alg Init for Layer # - 88 out of 156
Alg Init for Layer # - 89 out of 156
Alg Init for Layer # - 90 out of 156
Alg Init for Layer # - 91 out of 156
Alg Init for Layer # - 92 out of 156
Alg Init for Layer # - 93 out of 156
Alg Init for Layer # - 94 out of 156
Alg Init for Layer # - 95 out of 156
Alg Init for Layer # - 96 out of 156
Alg Init for Layer # - 97 out of 156
Alg Init for Layer # - 98 out of 156
Alg Init for Layer # - 99 out of 156
Alg Init for Layer # - 100 out of 156
Alg Init for Layer # - 101 out of 156
Alg Init for Layer # - 102 out of 156
Alg Init for Layer # - 103 out of 156
Alg Init for Layer # - 104 out of 156
Alg Init for Layer # - 105 out of 156
Alg Init for Layer # - 106 out of 156
Alg Init for Layer # - 107 out of 156
Alg Init for Layer # - 108 out of 156
Alg Init for Layer # - 109 out of 156
Alg Init for Layer # - 110 out of 156
Alg Init for Layer # - 111 out of 156
Alg Init for Layer # - 112 out of 156
Alg Init for Layer # - 113 out of 156
Alg Init for Layer # - 114 out of 156
Alg Init for Layer # - 115 out of 156
Alg Init for Layer # - 116 out of 156
Alg Init for Layer # - 117 out of 156
Alg Init for Layer # - 118 out of 156
Alg Init for Layer # - 119 out of 156
Alg Init for Layer # - 120 out of 156
Alg Init for Layer # - 121 out of 156
Alg Init for Layer # - 122 out of 156
Alg Init for Layer # - 123 out of 156
Alg Init for Layer # - 124 out of 156
Alg Init for Layer # - 125 out of 156
Alg Init for Layer # - 126 out of 156
Alg Init for Layer # - 127 out of 156
Alg Init for Layer # - 128 out of 156
Alg Init for Layer # - 129 out of 156
Alg Init for Layer # - 130 out of 156
Alg Init for Layer # - 131 out of 156
Alg Init for Layer # - 132 out of 156
Alg Init for Layer # - 133 out of 156
Alg Init for Layer # - 134 out of 156
Alg Init for Layer # - 135 out of 156
Alg Init for Layer # - 136 out of 156
Alg Init for Layer # - 137 out of 156
Alg Init for Layer # - 138 out of 156
Alg Init for Layer # - 139 out of 156
Alg Init for Layer # - 140 out of 156
Alg Init for Layer # - 141 out of 156
Alg Init for Layer # - 142 out of 156
Alg Init for Layer # - 143 out of 156
Alg Init for Layer # - 144 out of 156
Alg Init for Layer # - 145 out of 156
Alg Init for Layer # - 146 out of 156
Alg Init for Layer # - 147 out of 156
Alg Init for Layer # - 148 out of 156
Alg Init for Layer # - 149 out of 156
Alg Init for Layer # - 150 out of 156
Alg Init for Layer # - 151 out of 156
Alg Init for Layer # - 152 out of 156
Alg Init for Layer # - 153 out of 156
Alg Init for Layer # - 154 out of 156
Alg Init for Layer # - 155 out of 156
Alg Init for Layer # - 156 out of 156
PREEMPTION: Adding a new priority object for targetPriority = 2, handle = 0x7ff8eb942000
PREEMPTION: Now total number of priority objects = 1 at priorityId = 2, with new memRec of base = 0x7ff8eb920000 and size = 128
PREEMPTION: Requesting context memory addr for handle 0x7ff8eb942000, return Addr = 0x7ff8eb920000
************ TIDL_subgraphRtCreate done ************
******* In TIDL_subgraphRtInvoke ********
TIDL_activate is called with handle : eb942000
Starting Layer # - 1
Processing Layer # - 1
End of Layer # - 1 with outPtrs[0] = 0x7ff7659b5000
Starting Layer # - 2
Processing Layer # - 2
End of Layer # - 2 with outPtrs[0] = 0x7ff765e6c880
Starting Layer # - 3
Processing Layer # - 3
End of Layer # - 3 with outPtrs[0] = 0x7ff76632b980
Starting Layer # - 4
Processing Layer # - 4
End of Layer # - 4 with outPtrs[0] = 0x7ff767627c00
Starting Layer # - 5
Processing Layer # - 5
End of Layer # - 5 with outPtrs[0] = 0x7ff767f87c00
Starting Layer # - 6
Processing Layer # - 6
End of Layer # - 6 with outPtrs[0] = 0x7ff768437c00
Starting Layer # - 7
Processing Layer # - 7
End of Layer # - 7 with outPtrs[0] = 0x7ff768905e80
Starting Layer # - 8
Processing Layer # - 8
End of Layer # - 8 with outPtrs[0] = 0x7ff768db5e80
Starting Layer # - 9
Processing Layer # - 9
End of Layer # - 9 with outPtrs[0] = 0x7ff768437c00
Starting Layer # - 10
Processing Layer # - 10
End of Layer # - 10 with outPtrs[0] = 0x7ff768905e80
Starting Layer # - 11
Processing Layer # - 11
End of Layer # - 11 with outPtrs[0] = 0x7ff769265e80
Starting Layer # - 12
Processing Layer # - 12
End of Layer # - 12 with outPtrs[0] = 0x7ff768905e80
Starting Layer # - 13
Processing Layer # - 13
End of Layer # - 13 with outPtrs[0] = 0x7ff769715e80
Starting Layer # - 14
Processing Layer # - 14
End of Layer # - 14 with outPtrs[0] = 0x7ff76a075e80
Starting Layer # - 15
Processing Layer # - 15
End of Layer # - 15 with outPtrs[0] = 0x7ff76aa12300
Starting Layer # - 16
Processing Layer # - 16
End of Layer # - 16 with outPtrs[0] = 0x7ff76aec2300
Starting Layer # - 17
Processing Layer # - 17
End of Layer # - 17 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 18
Processing Layer # - 18
End of Layer # - 18 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 19
Processing Layer # - 19
End of Layer # - 19 with outPtrs[0] = 0x7ff76b5e8780
Starting Layer # - 20
Processing Layer # - 20
End of Layer # - 20 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 21
Processing Layer # - 21
End of Layer # - 21 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 22
Processing Layer # - 22
End of Layer # - 22 with outPtrs[0] = 0x7ff76b840780
Starting Layer # - 23
Processing Layer # - 23
End of Layer # - 23 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 24
Processing Layer # - 24
End of Layer # - 24 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 25
Processing Layer # - 25
End of Layer # - 25 with outPtrs[0] = 0x7ff76b5e8780
Starting Layer # - 26
Processing Layer # - 26
End of Layer # - 26 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 27
Processing Layer # - 27
End of Layer # - 27 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 28
Processing Layer # - 28
End of Layer # - 28 with outPtrs[0] = 0x7ff76b840780
Starting Layer # - 29
Processing Layer # - 29
End of Layer # - 29 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 30
Processing Layer # - 30
End of Layer # - 30 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 31
Processing Layer # - 31
End of Layer # - 31 with outPtrs[0] = 0x7ff76b5e8780
Starting Layer # - 32
Processing Layer # - 32
End of Layer # - 32 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 33
Processing Layer # - 33
End of Layer # - 33 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 34
Processing Layer # - 34
End of Layer # - 34 with outPtrs[0] = 0x7ff76b840780
Starting Layer # - 35
Processing Layer # - 35
End of Layer # - 35 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 36
Processing Layer # - 36
End of Layer # - 36 with outPtrs[0] = 0x7ff76ba98780
Starting Layer # - 37
Processing Layer # - 37
End of Layer # - 37 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 38
Processing Layer # - 38
End of Layer # - 38 with outPtrs[0] = 0x7ff76c435080
Starting Layer # - 39
Processing Layer # - 39
End of Layer # - 39 with outPtrs[0] = 0x7ff76c68d080
Starting Layer # - 40
Processing Layer # - 40
End of Layer # - 40 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 41
Processing Layer # - 41
End of Layer # - 41 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 42
Processing Layer # - 42
End of Layer # - 42 with outPtrs[0] = 0x7ff76ca2f980
Starting Layer # - 43
Processing Layer # - 43
End of Layer # - 43 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 44
Processing Layer # - 44
End of Layer # - 44 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 45
Processing Layer # - 45
End of Layer # - 45 with outPtrs[0] = 0x7ff76cb5b980
Starting Layer # - 46
Processing Layer # - 46
End of Layer # - 46 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 47
Processing Layer # - 47
End of Layer # - 47 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 48
Processing Layer # - 48
End of Layer # - 48 with outPtrs[0] = 0x7ff76ca2f980
Starting Layer # - 49
Processing Layer # - 49
End of Layer # - 49 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 50
Processing Layer # - 50
End of Layer # - 50 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 51
Processing Layer # - 51
End of Layer # - 51 with outPtrs[0] = 0x7ff76cb5b980
Starting Layer # - 52
Processing Layer # - 52
End of Layer # - 52 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 53
Processing Layer # - 53
End of Layer # - 53 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 54
Processing Layer # - 54
End of Layer # - 54 with outPtrs[0] = 0x7ff76ca2f980
Starting Layer # - 55
Processing Layer # - 55
End of Layer # - 55 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 56
Processing Layer # - 56
End of Layer # - 56 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 57
Processing Layer # - 57
End of Layer # - 57 with outPtrs[0] = 0x7ff76cb5b980
Starting Layer # - 58
Processing Layer # - 58
End of Layer # - 58 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 59
Processing Layer # - 59
End of Layer # - 59 with outPtrs[0] = 0x7ff76cc87980
Starting Layer # - 60
Processing Layer # - 60
End of Layer # - 60 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 61
Processing Layer # - 61
End of Layer # - 61 with outPtrs[0] = 0x7ff76d174b80
Starting Layer # - 62
Processing Layer # - 62
End of Layer # - 62 with outPtrs[0] = 0x7ff76d255b80
Starting Layer # - 63
Processing Layer # - 63
End of Layer # - 63 with outPtrs[0] = 0x7ff76d2c6380
Starting Layer # - 64
Processing Layer # - 64
End of Layer # - 64 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 65
Processing Layer # - 65
End of Layer # - 65 with outPtrs[0] = 0x7ff76d3be900
Starting Layer # - 66
Processing Layer # - 66
End of Layer # - 66 with outPtrs[0] = 0x7ff76d2c6380
Starting Layer # - 67
Processing Layer # - 67
End of Layer # - 67 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 68
Processing Layer # - 68
End of Layer # - 68 with outPtrs[0] = 0x7ff76d42f100
Starting Layer # - 69
Processing Layer # - 69
End of Layer # - 69 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 70
Processing Layer # - 70
End of Layer # - 70 with outPtrs[0] = 0x7ff76d49f900
Starting Layer # - 71
Processing Layer # - 71
End of Layer # - 71 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 72
Processing Layer # - 72
End of Layer # - 72 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 73
Processing Layer # - 73
End of Layer # - 73 with outPtrs[0] = 0x7ff76d6db400
Starting Layer # - 74
Processing Layer # - 74
End of Layer # - 74 with outPtrs[0] = 0x7ff76d710e00
Starting Layer # - 75
Processing Layer # - 75
End of Layer # - 75 with outPtrs[0] = 0x7ff76d746800
Starting Layer # - 76
Processing Layer # - 76
End of Layer # - 76 with outPtrs[0] = 0x7ff76d77c200
Starting Layer # - 77
Processing Layer # - 77
End of Layer # - 77 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 78
Processing Layer # - 78
End of Layer # - 78 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 79
Processing Layer # - 79
End of Layer # - 79 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 80
Processing Layer # - 80
End of Layer # - 80 with outPtrs[0] = 0x7ff76d6db400
Starting Layer # - 81
Processing Layer # - 81
End of Layer # - 81 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 82
Processing Layer # - 82
End of Layer # - 82 with outPtrs[0] = 0x7ff76d6db400
Starting Layer # - 83
Processing Layer # - 83
End of Layer # - 83 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 84
Processing Layer # - 84
End of Layer # - 84 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 85
Processing Layer # - 85
End of Layer # - 85 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 86
Processing Layer # - 86
End of Layer # - 86 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 87
Processing Layer # - 87
End of Layer # - 87 with outPtrs[0] = 0x7ff76d882a00
Starting Layer # - 88
Processing Layer # - 88
End of Layer # - 88 with outPtrs[0] = 0x7ff76d8d3100
Starting Layer # - 89
Processing Layer # - 89
End of Layer # - 89 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 90
Processing Layer # - 90
End of Layer # - 90 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 91
Processing Layer # - 91
End of Layer # - 91 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 92
Processing Layer # - 92
End of Layer # - 92 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 93
Processing Layer # - 93
End of Layer # - 93 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 94
Processing Layer # - 94
End of Layer # - 94 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 95
Processing Layer # - 95
End of Layer # - 95 with outPtrs[0] = 0x7ff76d255b80
Starting Layer # - 96
Processing Layer # - 96
End of Layer # - 96 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 97
Processing Layer # - 97
End of Layer # - 97 with outPtrs[0] = 0x7ff76d174b80
Starting Layer # - 98
Processing Layer # - 98
End of Layer # - 98 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 99
Processing Layer # - 99
End of Layer # - 99 with outPtrs[0] = 0x7ff76db76100
Starting Layer # - 100
Processing Layer # - 100
End of Layer # - 100 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 101
Processing Layer # - 101
End of Layer # - 101 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 102
Processing Layer # - 102
End of Layer # - 102 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 103
Processing Layer # - 103
End of Layer # - 103 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 104
Processing Layer # - 104
End of Layer # - 104 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 105
Processing Layer # - 105
End of Layer # - 105 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 106
Processing Layer # - 106
End of Layer # - 106 with outPtrs[0] = 0x7ff76c68d080
Starting Layer # - 107
Processing Layer # - 107
End of Layer # - 107 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 108
Processing Layer # - 108
End of Layer # - 108 with outPtrs[0] = 0x7ff76c435080
Starting Layer # - 109
Processing Layer # - 109
End of Layer # - 109 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 110
Processing Layer # - 110
End of Layer # - 110 with outPtrs[0] = 0x7ff76e27e100
Starting Layer # - 111
Processing Layer # - 111
End of Layer # - 111 with outPtrs[0] = 0x7ff76e72e100
Starting Layer # - 112
Processing Layer # - 112
End of Layer # - 112 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 113
Processing Layer # - 113
End of Layer # - 113 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 114
Processing Layer # - 114
End of Layer # - 114 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 115
Processing Layer # - 115
End of Layer # - 115 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 116
Processing Layer # - 116
End of Layer # - 116 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 117
Processing Layer # - 117
End of Layer # - 117 with outPtrs[0] = 0x7ff76aec2300
Starting Layer # - 118
Processing Layer # - 118
End of Layer # - 118 with outPtrs[0] = 0x7ff76e72e100
Starting Layer # - 119
Processing Layer # - 119
End of Layer # - 119 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 120
Processing Layer # - 120
End of Layer # - 120 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 121
Processing Layer # - 121
End of Layer # - 121 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 122
Processing Layer # - 122
End of Layer # - 122 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 123
Processing Layer # - 123
End of Layer # - 123 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 124
Processing Layer # - 124
End of Layer # - 124 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 125
Processing Layer # - 125
End of Layer # - 125 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 126
Processing Layer # - 126
End of Layer # - 126 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 127
Processing Layer # - 127
End of Layer # - 127 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 128
Processing Layer # - 128
End of Layer # - 128 with outPtrs[0] = 0x7ff76c68d080
Starting Layer # - 129
Processing Layer # - 129
End of Layer # - 129 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 130
Processing Layer # - 130
End of Layer # - 130 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 131
Processing Layer # - 131
End of Layer # - 131 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 132
Processing Layer # - 132
End of Layer # - 132 with outPtrs[0] = 0x7ff76d174b80
Starting Layer # - 133
Processing Layer # - 133
End of Layer # - 133 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 134
Processing Layer # - 134
End of Layer # - 134 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 135
Processing Layer # - 135
End of Layer # - 135 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 136
Processing Layer # - 136
End of Layer # - 136 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 137
Processing Layer # - 137
End of Layer # - 137 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 138
Processing Layer # - 138
End of Layer # - 138 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 139
Processing Layer # - 139
End of Layer # - 139 with outPtrs[0] = 0x7ff76d255b80
Starting Layer # - 140
Processing Layer # - 140
End of Layer # - 140 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 141
Processing Layer # - 141
End of Layer # - 141 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 142
Processing Layer # - 142
End of Layer # - 142 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 143
Processing Layer # - 143
End of Layer # - 143 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 144
Processing Layer # - 144
End of Layer # - 144 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 145
Processing Layer # - 145
End of Layer # - 145 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 146
Processing Layer # - 146
End of Layer # - 146 with outPtrs[0] = 0x7ff76d882a00
Starting Layer # - 147
Processing Layer # - 147
End of Layer # - 147 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 148
Processing Layer # - 148
End of Layer # - 148 with outPtrs[0] = 0x7ff76d882a00
Starting Layer # - 149
Processing Layer # - 149
End of Layer # - 149 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 150
Processing Layer # - 150
End of Layer # - 150 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 151
Processing Layer # - 151
End of Layer # - 151 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 152
Processing Layer # - 152
End of Layer # - 152 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 153
Processing Layer # - 153
End of Layer # - 153 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 154
Processing Layer # - 154
End of Layer # - 154 with outPtrs[0] = 0x7ff76f08e100
Starting Layer # - 155
Processing Layer # - 155
End of Layer # - 155 with outPtrs[0] = 0x7ff8ec01a000
TIDL_process is completed with handle : eb942000
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,
117, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
121, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
123, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
125, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
127, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
129, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
130, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
131, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
133, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
134, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
135, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
137, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
139, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
141, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
143, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
145, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
146, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
147, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
149, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
151, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
153, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
154, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
155, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
Sum of Layer Cycles 0
Sub Graph Stats 582.000000 58930841.000000 963.000000
******* TIDL_subgraphRtInvoke done ********
********** Frame Index 1 : Running float inference **********
******* In TIDL_subgraphRtInvoke ********
Starting Layer # - 1
Processing Layer # - 1
End of Layer # - 1 with outPtrs[0] = 0x7ff7659b5000
Starting Layer # - 2
Processing Layer # - 2
End of Layer # - 2 with outPtrs[0] = 0x7ff765e6c880
Starting Layer # - 3
Processing Layer # - 3
End of Layer # - 3 with outPtrs[0] = 0x7ff76632b980
Starting Layer # - 4
Processing Layer # - 4
End of Layer # - 4 with outPtrs[0] = 0x7ff767627c00
Starting Layer # - 5
Processing Layer # - 5
End of Layer # - 5 with outPtrs[0] = 0x7ff767f87c00
Starting Layer # - 6
Processing Layer # - 6
End of Layer # - 6 with outPtrs[0] = 0x7ff768437c00
Starting Layer # - 7
Processing Layer # - 7
End of Layer # - 7 with outPtrs[0] = 0x7ff768905e80
Starting Layer # - 8
Processing Layer # - 8
End of Layer # - 8 with outPtrs[0] = 0x7ff768db5e80
Starting Layer # - 9
Processing Layer # - 9
End of Layer # - 9 with outPtrs[0] = 0x7ff768437c00
Starting Layer # - 10
Processing Layer # - 10
End of Layer # - 10 with outPtrs[0] = 0x7ff768905e80
Starting Layer # - 11
Processing Layer # - 11
End of Layer # - 11 with outPtrs[0] = 0x7ff769265e80
Starting Layer # - 12
Processing Layer # - 12
End of Layer # - 12 with outPtrs[0] = 0x7ff768905e80
Starting Layer # - 13
Processing Layer # - 13
End of Layer # - 13 with outPtrs[0] = 0x7ff769715e80
Starting Layer # - 14
Processing Layer # - 14
End of Layer # - 14 with outPtrs[0] = 0x7ff76a075e80
Starting Layer # - 15
Processing Layer # - 15
End of Layer # - 15 with outPtrs[0] = 0x7ff76aa12300
Starting Layer # - 16
Processing Layer # - 16
End of Layer # - 16 with outPtrs[0] = 0x7ff76aec2300
Starting Layer # - 17
Processing Layer # - 17
End of Layer # - 17 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 18
Processing Layer # - 18
End of Layer # - 18 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 19
Processing Layer # - 19
End of Layer # - 19 with outPtrs[0] = 0x7ff76b5e8780
Starting Layer # - 20
Processing Layer # - 20
End of Layer # - 20 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 21
Processing Layer # - 21
End of Layer # - 21 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 22
Processing Layer # - 22
End of Layer # - 22 with outPtrs[0] = 0x7ff76b840780
Starting Layer # - 23
Processing Layer # - 23
End of Layer # - 23 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 24
Processing Layer # - 24
End of Layer # - 24 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 25
Processing Layer # - 25
End of Layer # - 25 with outPtrs[0] = 0x7ff76b5e8780
Starting Layer # - 26
Processing Layer # - 26
End of Layer # - 26 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 27
Processing Layer # - 27
End of Layer # - 27 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 28
Processing Layer # - 28
End of Layer # - 28 with outPtrs[0] = 0x7ff76b840780
Starting Layer # - 29
Processing Layer # - 29
End of Layer # - 29 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 30
Processing Layer # - 30
End of Layer # - 30 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 31
Processing Layer # - 31
End of Layer # - 31 with outPtrs[0] = 0x7ff76b5e8780
Starting Layer # - 32
Processing Layer # - 32
End of Layer # - 32 with outPtrs[0] = 0x7ff76b11a300
Starting Layer # - 33
Processing Layer # - 33
End of Layer # - 33 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 34
Processing Layer # - 34
End of Layer # - 34 with outPtrs[0] = 0x7ff76b840780
Starting Layer # - 35
Processing Layer # - 35
End of Layer # - 35 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 36
Processing Layer # - 36
End of Layer # - 36 with outPtrs[0] = 0x7ff76ba98780
Starting Layer # - 37
Processing Layer # - 37
End of Layer # - 37 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 38
Processing Layer # - 38
End of Layer # - 38 with outPtrs[0] = 0x7ff76c435080
Starting Layer # - 39
Processing Layer # - 39
End of Layer # - 39 with outPtrs[0] = 0x7ff76c68d080
Starting Layer # - 40
Processing Layer # - 40
End of Layer # - 40 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 41
Processing Layer # - 41
End of Layer # - 41 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 42
Processing Layer # - 42
End of Layer # - 42 with outPtrs[0] = 0x7ff76ca2f980
Starting Layer # - 43
Processing Layer # - 43
End of Layer # - 43 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 44
Processing Layer # - 44
End of Layer # - 44 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 45
Processing Layer # - 45
End of Layer # - 45 with outPtrs[0] = 0x7ff76cb5b980
Starting Layer # - 46
Processing Layer # - 46
End of Layer # - 46 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 47
Processing Layer # - 47
End of Layer # - 47 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 48
Processing Layer # - 48
End of Layer # - 48 with outPtrs[0] = 0x7ff76ca2f980
Starting Layer # - 49
Processing Layer # - 49
End of Layer # - 49 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 50
Processing Layer # - 50
End of Layer # - 50 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 51
Processing Layer # - 51
End of Layer # - 51 with outPtrs[0] = 0x7ff76cb5b980
Starting Layer # - 52
Processing Layer # - 52
End of Layer # - 52 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 53
Processing Layer # - 53
End of Layer # - 53 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 54
Processing Layer # - 54
End of Layer # - 54 with outPtrs[0] = 0x7ff76ca2f980
Starting Layer # - 55
Processing Layer # - 55
End of Layer # - 55 with outPtrs[0] = 0x7ff76c7b9080
Starting Layer # - 56
Processing Layer # - 56
End of Layer # - 56 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 57
Processing Layer # - 57
End of Layer # - 57 with outPtrs[0] = 0x7ff76cb5b980
Starting Layer # - 58
Processing Layer # - 58
End of Layer # - 58 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 59
Processing Layer # - 59
End of Layer # - 59 with outPtrs[0] = 0x7ff76cc87980
Starting Layer # - 60
Processing Layer # - 60
End of Layer # - 60 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 61
Processing Layer # - 61
End of Layer # - 61 with outPtrs[0] = 0x7ff76d174b80
Starting Layer # - 62
Processing Layer # - 62
End of Layer # - 62 with outPtrs[0] = 0x7ff76d255b80
Starting Layer # - 63
Processing Layer # - 63
End of Layer # - 63 with outPtrs[0] = 0x7ff76d2c6380
Starting Layer # - 64
Processing Layer # - 64
End of Layer # - 64 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 65
Processing Layer # - 65
End of Layer # - 65 with outPtrs[0] = 0x7ff76d3be900
Starting Layer # - 66
Processing Layer # - 66
End of Layer # - 66 with outPtrs[0] = 0x7ff76d2c6380
Starting Layer # - 67
Processing Layer # - 67
End of Layer # - 67 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 68
Processing Layer # - 68
End of Layer # - 68 with outPtrs[0] = 0x7ff76d42f100
Starting Layer # - 69
Processing Layer # - 69
End of Layer # - 69 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 70
Processing Layer # - 70
End of Layer # - 70 with outPtrs[0] = 0x7ff76d49f900
Starting Layer # - 71
Processing Layer # - 71
End of Layer # - 71 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 72
Processing Layer # - 72
End of Layer # - 72 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 73
Processing Layer # - 73
End of Layer # - 73 with outPtrs[0] = 0x7ff76d6db400
Starting Layer # - 74
Processing Layer # - 74
End of Layer # - 74 with outPtrs[0] = 0x7ff76d710e00
Starting Layer # - 75
Processing Layer # - 75
End of Layer # - 75 with outPtrs[0] = 0x7ff76d746800
Starting Layer # - 76
Processing Layer # - 76
End of Layer # - 76 with outPtrs[0] = 0x7ff76d77c200
Starting Layer # - 77
Processing Layer # - 77
End of Layer # - 77 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 78
Processing Layer # - 78
End of Layer # - 78 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 79
Processing Layer # - 79
End of Layer # - 79 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 80
Processing Layer # - 80
End of Layer # - 80 with outPtrs[0] = 0x7ff76d6db400
Starting Layer # - 81
Processing Layer # - 81
End of Layer # - 81 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 82
Processing Layer # - 82
End of Layer # - 82 with outPtrs[0] = 0x7ff76d6db400
Starting Layer # - 83
Processing Layer # - 83
End of Layer # - 83 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 84
Processing Layer # - 84
End of Layer # - 84 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 85
Processing Layer # - 85
End of Layer # - 85 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 86
Processing Layer # - 86
End of Layer # - 86 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 87
Processing Layer # - 87
End of Layer # - 87 with outPtrs[0] = 0x7ff76d882a00
Starting Layer # - 88
Processing Layer # - 88
End of Layer # - 88 with outPtrs[0] = 0x7ff76d8d3100
Starting Layer # - 89
Processing Layer # - 89
End of Layer # - 89 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 90
Processing Layer # - 90
End of Layer # - 90 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 91
Processing Layer # - 91
End of Layer # - 91 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 92
Processing Layer # - 92
End of Layer # - 92 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 93
Processing Layer # - 93
End of Layer # - 93 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 94
Processing Layer # - 94
End of Layer # - 94 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 95
Processing Layer # - 95
End of Layer # - 95 with outPtrs[0] = 0x7ff76d255b80
Starting Layer # - 96
Processing Layer # - 96
End of Layer # - 96 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 97
Processing Layer # - 97
End of Layer # - 97 with outPtrs[0] = 0x7ff76d174b80
Starting Layer # - 98
Processing Layer # - 98
End of Layer # - 98 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 99
Processing Layer # - 99
End of Layer # - 99 with outPtrs[0] = 0x7ff76db76100
Starting Layer # - 100
Processing Layer # - 100
End of Layer # - 100 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 101
Processing Layer # - 101
End of Layer # - 101 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 102
Processing Layer # - 102
End of Layer # - 102 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 103
Processing Layer # - 103
End of Layer # - 103 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 104
Processing Layer # - 104
End of Layer # - 104 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 105
Processing Layer # - 105
End of Layer # - 105 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 106
Processing Layer # - 106
End of Layer # - 106 with outPtrs[0] = 0x7ff76c68d080
Starting Layer # - 107
Processing Layer # - 107
End of Layer # - 107 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 108
Processing Layer # - 108
End of Layer # - 108 with outPtrs[0] = 0x7ff76c435080
Starting Layer # - 109
Processing Layer # - 109
End of Layer # - 109 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 110
Processing Layer # - 110
End of Layer # - 110 with outPtrs[0] = 0x7ff76e27e100
Starting Layer # - 111
Processing Layer # - 111
End of Layer # - 111 with outPtrs[0] = 0x7ff76e72e100
Starting Layer # - 112
Processing Layer # - 112
End of Layer # - 112 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 113
Processing Layer # - 113
End of Layer # - 113 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 114
Processing Layer # - 114
End of Layer # - 114 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 115
Processing Layer # - 115
End of Layer # - 115 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 116
Processing Layer # - 116
End of Layer # - 116 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 117
Processing Layer # - 117
End of Layer # - 117 with outPtrs[0] = 0x7ff76aec2300
Starting Layer # - 118
Processing Layer # - 118
End of Layer # - 118 with outPtrs[0] = 0x7ff76e72e100
Starting Layer # - 119
Processing Layer # - 119
End of Layer # - 119 with outPtrs[0] = 0x7ff76bf48780
Starting Layer # - 120
Processing Layer # - 120
End of Layer # - 120 with outPtrs[0] = 0x7ff76b390780
Starting Layer # - 121
Processing Layer # - 121
End of Layer # - 121 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 122
Processing Layer # - 122
End of Layer # - 122 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 123
Processing Layer # - 123
End of Layer # - 123 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 124
Processing Layer # - 124
End of Layer # - 124 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 125
Processing Layer # - 125
End of Layer # - 125 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 126
Processing Layer # - 126
End of Layer # - 126 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 127
Processing Layer # - 127
End of Layer # - 127 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 128
Processing Layer # - 128
End of Layer # - 128 with outPtrs[0] = 0x7ff76c68d080
Starting Layer # - 129
Processing Layer # - 129
End of Layer # - 129 with outPtrs[0] = 0x7ff76ddce100
Starting Layer # - 130
Processing Layer # - 130
End of Layer # - 130 with outPtrs[0] = 0x7ff76cedf980
Starting Layer # - 131
Processing Layer # - 131
End of Layer # - 131 with outPtrs[0] = 0x7ff76c903980
Starting Layer # - 132
Processing Layer # - 132
End of Layer # - 132 with outPtrs[0] = 0x7ff76d174b80
Starting Layer # - 133
Processing Layer # - 133
End of Layer # - 133 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 134
Processing Layer # - 134
End of Layer # - 134 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 135
Processing Layer # - 135
End of Layer # - 135 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 136
Processing Layer # - 136
End of Layer # - 136 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 137
Processing Layer # - 137
End of Layer # - 137 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 138
Processing Layer # - 138
End of Layer # - 138 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 139
Processing Layer # - 139
End of Layer # - 139 with outPtrs[0] = 0x7ff76d255b80
Starting Layer # - 140
Processing Layer # - 140
End of Layer # - 140 with outPtrs[0] = 0x7ff76d9b4100
Starting Layer # - 141
Processing Layer # - 141
End of Layer # - 141 with outPtrs[0] = 0x7ff76d580900
Starting Layer # - 142
Processing Layer # - 142
End of Layer # - 142 with outPtrs[0] = 0x7ff76d34e100
Starting Layer # - 143
Processing Layer # - 143
End of Layer # - 143 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 144
Processing Layer # - 144
End of Layer # - 144 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 145
Processing Layer # - 145
End of Layer # - 145 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 146
Processing Layer # - 146
End of Layer # - 146 with outPtrs[0] = 0x7ff76d882a00
Starting Layer # - 147
Processing Layer # - 147
End of Layer # - 147 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 148
Processing Layer # - 148
End of Layer # - 148 with outPtrs[0] = 0x7ff76d882a00
Starting Layer # - 149
Processing Layer # - 149
End of Layer # - 149 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 150
Processing Layer # - 150
End of Layer # - 150 with outPtrs[0] = 0x7ff76d837a00
Starting Layer # - 151
Processing Layer # - 151
End of Layer # - 151 with outPtrs[0] = 0x7ff76d7a1a00
Starting Layer # - 152
Processing Layer # - 152
End of Layer # - 152 with outPtrs[0] = 0x7ff76d690400
Starting Layer # - 153
Processing Layer # - 153
End of Layer # - 153 with outPtrs[0] = 0x7ff76d85d200
Starting Layer # - 154
Processing Layer # - 154
End of Layer # - 154 with outPtrs[0] = 0x7ff76f08e100
Starting Layer # - 155
Processing Layer # - 155
End of Layer # - 155 with outPtrs[0] = 0x7ff8ec01a000
TIDL_process is completed with handle : eb942000
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,
117, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
121, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
123, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
125, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
127, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
129, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
130, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
131, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
133, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
134, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
135, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
137, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
139, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
141, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
143, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
145, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
146, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
147, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
149, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
151, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
153, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
154, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
155, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
Sum of Layer Cycles 0
Sub Graph Stats 373.000000 58974549.000000 937.000000
******* 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~~~~~
Processing config file #0 : edgeai-benchmark-r8.5/work_dirs/modelartifacts/TDA4VM/8bits/yolov5m_Aug_640_onnxrt_models_yolov5m_Aug_640_best_onnx/artifacts/tempDir/detections_tidl_io_.qunat_stats_config.txt
----------------------- TIDL Process with REF_ONLY FLOW ------------------------
# 0 . .. T 59677.43 .... ..... ... .... .....
# 1 . .. T 58674.68 .... ..... ... .... .....
I have another model of yolov5m6 trained using the same repo (edgeai-yolov5) from Ti and similar dataset (slightly lesser images). It compiles successfully but most of the models get stuck at the same point. I also tried yolov5s6 and its still the same.
Currently I am stuck at this point. Thanking you in advance for your help
Edit: I noticed that the models trained with ADAM optimizer doesn;t compile whereas with SGD it does. I looked at the weights of the convolution layers and a model trained with ADAM has weights as absolute 0's whereas for SGD the weights are very minimal in order of e-9. Could this be the reason for the models not being able to compile ?
Thanks and regards
Keerthitheja S C
