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SK-TDA4VM: Model inference failed using onnxruntime based on PSDK-RTOS 8.02

yuanfu duan
Prodigy 186 points
Part Number: SK-TDA4VM


When we run the python example for our custom model on PC to generate the model artifacts using edgeai-tidl-tools，and the model artifacts is generated successfully，but when we run the osrt_cpp ort example for our model using edgeai-tidl-tools，the programm will be stuck in session.Run. Log is as below: 

[21:33:10.000.000000]:INFO:[main:0628] jiang: 33
[21:33:10.000.000090]:INFO:[main:0634] jiang: 44

***** Display run Config: start *****
verbose level set to: 3
accelerated mode set to: 1
device mem set to: 1
loop count set to: 1
model path set to:
model artifacts path set to: model-artifacts/PSD_2branch_sigmoid_0704/
image path set to: test_data/bird_384_16m.jpg
device_type set to: cpu
labels path set to: test_data/labels.txt
num of threads set to: 4
num of results set to: 5
num of warmup runs set to: 2

***** Display run Config: end *****
[21:33:10.000.000397]:INFO:[main:0636] jiang: 55
[21:33:10.000.000424]:INFO:[main:0638] jiang: 66
[21:33:10.000.000453]:INFO:[main:0641] jiang: 77
[21:33:10.006.006237]:INFO:[main:0647] jiang: 88
[21:33:10.006.006275]:INFO:[runInference:0293] jiang: 1
[21:33:10.006.006288]:INFO:[runInference:0300] jiang: 2
[21:33:10.063.063689]:INFO:[runInference:0304] jiang: 3
[21:33:10.063.063760]:INFO:[runInference:0308] jiang: 4
[21:33:10.063.063779]:INFO:[runInference:0311] accelerated mode
[21:33:10.063.063807]:INFO:[runInference:0314] artifacts: model-artifacts/PSD_2branch_sigmoid_0704/
[21:33:10.063.063853]:INFO:[runInference:0334] jiang: 7
libtidl_onnxrt_EP loaded 0x4600b40
Final number of subgraphs created are : 1, - Offloaded Nodes - 138, Total Nodes - 138
APP: Init ... !!!
MEM: Init ... !!!
MEM: Initialized DMA HEAP (fd=4) !!!
MEM: Init ... Done !!!
IPC: Init ... !!!
IPC: Init ... Done !!!
REMOTE_SERVICE: Init ... !!!
REMOTE_SERVICE: Init ... Done !!!
1862.582989 s: GTC Frequency = 200 MHz
APP: Init ... Done !!!
1862.588896 s: VX_ZONE_INIT:Enabled
1862.588916 s: VX_ZONE_ERROR:Enabled
1862.588924 s: VX_ZONE_WARNING:Enabled
1862.591292 s: VX_ZONE_INIT:[tivxInitLocal:130] Initialization Done !!!
1862.593227 s: VX_ZONE_INIT:[tivxHostInitLocal:86] Initialization Done for HOST !!!
[21:33:11.591.591934]:INFO:[runInference:0338] Loaded model model-artifacts/PSD_2branch_sigmoid_0704//../../models/public/PSD_2branch_sigmoid_0704.onnx
[21:33:11.592.592006]:INFO:[runInference:0365] aaa 0
[21:33:11.592.592029]:INFO:[runInference:0379] aaa 1
[21:33:11.592.592046]:INFO:[runInference:0386] aaa 2
[21:33:11.592.592064]:INFO:[printTensorInfo:0216] number of inputs:1
[21:33:11.592.592078]:INFO:[printTensorInfo:0217] number of outputs: 2
[21:33:11.592.592090]:INFO:[printTensorInfo:0218] input(0) name: images
[21:33:11.592.592103]:INFO:[printTensorInfo:0223] Input 0 : name=images
[21:33:11.592.592118]:INFO:[printTensorInfo:0230] Input 0 : type=1
[21:33:11.592.592132]:INFO:[printTensorInfo:0233] Input 0 : num_dims=4
[21:33:11.592.592146]:INFO:[printTensorInfo:0236] Input 0 : dim 0=1
[21:33:11.592.592158]:INFO:[printTensorInfo:0236] Input 0 : dim 1=3
[21:33:11.592.592171]:INFO:[printTensorInfo:0236] Input 0 : dim 2=224
[21:33:11.592.592183]:INFO:[printTensorInfo:0236] Input 0 : dim 3=224
[21:33:11.633.633197]:INFO:[preprocImage:0127] template NCHW
[21:33:11.633.633435]:INFO:[runInference:0401] ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT 3
[21:33:11.633.633462]:INFO:[runInference:0416] CreateCpu 3
[21:33:11.633.633484]:INFO:[runInference:0419] CreateTensor 3
[21:33:11.633.633498]:INFO:[runInference:0423] SetRunLogVerbosityLevel 3

The programm will be stuck in the following code：

auto output_tensors_warm_up = session.Run(run_options, input_node_names.data(), input_tensors.data(), 1, output_node_names.data(), num_output_nodes);
  • 0
    TI__Genius 9065 points

    Hi 

    Sorry for the delay in response. Can you please enable options->debug_level = 1 and share the console log?

    Regards,

    Anand

  • 0 in reply to Anand Pathak
    Prodigy 186 points 
    root@2ecb8cf022d0:/mnt/data/edgeai-tidl-tools-08_02_00_05/examples/osrt_python/ort# python3 onnxrt_ep.py -c
Available execution providers :  ['TIDLExecutionProvider', 'TIDLCompilationProvider', 'CPUExecutionProvider']

Running 1 Models - ['PSD_2branch_sigmoid_0704']


Running_Model :  PSD_2branch_sigmoid_0704

tidl_tools_path                                 = /mnt/data/edgeai-tidl-tools-08_02_00_05/tidl_tools
artifacts_folder                                = ../../../model-artifacts//PSD_2branch_sigmoid_0704/
tidl_tensor_bits                                = 16
debug_level                                     = 1
num_tidl_subgraphs                              = 16
tidl_denylist                                   =
tidl_calibration_accuracy_level                 = 7
tidl_calibration_options:num_frames_calibration = 2
tidl_calibration_options:bias_calibration_iterations = 3
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                          =

 ****** WARNING : Network not identified as Object Detection network - Ignore if network is not OD *****

Supported TIDL layer type ---            Conv -- Conv_0
Supported TIDL layer type ---            Relu -- Relu_1
Supported TIDL layer type ---            Conv -- Conv_2
Supported TIDL layer type ---            Relu -- Relu_3
Supported TIDL layer type ---            Conv -- Conv_4
Supported TIDL layer type ---            Relu -- Relu_5
Supported TIDL layer type ---            Conv -- Conv_13
Supported TIDL layer type ---            Relu -- Relu_14
Supported TIDL layer type ---            Conv -- Conv_6
Supported TIDL layer type ---            Relu -- Relu_7
Supported TIDL layer type ---            Conv -- Conv_8
Supported TIDL layer type ---            Relu -- Relu_9
Supported TIDL layer type ---            Conv -- Conv_10
Supported TIDL layer type ---            Relu -- Relu_11
Supported TIDL layer type ---             Add -- Add_12
Supported TIDL layer type ---          Concat -- Concat_15
Supported TIDL layer type ---            Conv -- Conv_16
Supported TIDL layer type ---            Relu -- Relu_17
Supported TIDL layer type ---            Conv -- Conv_18
Supported TIDL layer type ---            Relu -- Relu_19
Supported TIDL layer type ---            Conv -- Conv_37
Supported TIDL layer type ---            Relu -- Relu_38
Supported TIDL layer type ---            Conv -- Conv_20
Supported TIDL layer type ---            Relu -- Relu_21
Supported TIDL layer type ---            Conv -- Conv_22
Supported TIDL layer type ---            Relu -- Relu_23
Supported TIDL layer type ---            Conv -- Conv_24
Supported TIDL layer type ---            Relu -- Relu_25
Supported TIDL layer type ---             Add -- Add_26
Supported TIDL layer type ---            Conv -- Conv_27
Supported TIDL layer type ---            Relu -- Relu_28
Supported TIDL layer type ---            Conv -- Conv_29
Supported TIDL layer type ---            Relu -- Relu_30
Supported TIDL layer type ---             Add -- Add_31
Supported TIDL layer type ---            Conv -- Conv_32
Supported TIDL layer type ---            Relu -- Relu_33
Supported TIDL layer type ---            Conv -- Conv_34
Supported TIDL layer type ---            Relu -- Relu_35
Supported TIDL layer type ---             Add -- Add_36
Supported TIDL layer type ---          Concat -- Concat_39
Supported TIDL layer type ---            Conv -- Conv_40
Supported TIDL layer type ---            Relu -- Relu_41
Supported TIDL layer type ---            Conv -- Conv_42
Supported TIDL layer type ---            Relu -- Relu_43
Supported TIDL layer type ---            Conv -- Conv_61
Supported TIDL layer type ---            Relu -- Relu_62
Supported TIDL layer type ---            Conv -- Conv_44
Supported TIDL layer type ---            Relu -- Relu_45
Supported TIDL layer type ---            Conv -- Conv_46
Supported TIDL layer type ---            Relu -- Relu_47
Supported TIDL layer type ---            Conv -- Conv_48
Supported TIDL layer type ---            Relu -- Relu_49
Supported TIDL layer type ---             Add -- Add_50
Supported TIDL layer type ---            Conv -- Conv_51
Supported TIDL layer type ---            Relu -- Relu_52
Supported TIDL layer type ---            Conv -- Conv_53
Supported TIDL layer type ---            Relu -- Relu_54
Supported TIDL layer type ---             Add -- Add_55
Supported TIDL layer type ---            Conv -- Conv_56
Supported TIDL layer type ---            Relu -- Relu_57
Supported TIDL layer type ---            Conv -- Conv_58
Supported TIDL layer type ---            Relu -- Relu_59
Supported TIDL layer type ---             Add -- Add_60
Supported TIDL layer type ---          Concat -- Concat_63
Supported TIDL layer type ---            Conv -- Conv_64
Supported TIDL layer type ---            Relu -- Relu_65
Supported TIDL layer type ---            Conv -- Conv_66
Supported TIDL layer type ---            Relu -- Relu_67
Supported TIDL layer type ---            Conv -- Conv_68
Supported TIDL layer type ---            Relu -- Relu_69
Supported TIDL layer type ---         MaxPool -- MaxPool_76
Supported TIDL layer type ---         MaxPool -- MaxPool_77
Supported TIDL layer type ---         MaxPool -- MaxPool_78
Supported TIDL layer type ---         MaxPool -- MaxPool_79
Supported TIDL layer type ---         MaxPool -- MaxPool_80
Supported TIDL layer type ---         MaxPool -- MaxPool_81
Supported TIDL layer type ---          Concat -- Concat_82
Supported TIDL layer type ---            Conv -- Conv_83
Supported TIDL layer type ---            Relu -- Relu_84
Supported TIDL layer type ---            Conv -- Conv_91
Supported TIDL layer type ---            Relu -- Relu_92
Supported TIDL layer type ---            Conv -- Conv_85
Supported TIDL layer type ---            Relu -- Relu_86
Supported TIDL layer type ---            Conv -- Conv_87
Supported TIDL layer type ---            Relu -- Relu_88
Supported TIDL layer type ---            Conv -- Conv_89
Supported TIDL layer type ---            Relu -- Relu_90
Supported TIDL layer type ---          Concat -- Concat_93
Supported TIDL layer type ---            Conv -- Conv_94
Supported TIDL layer type ---            Relu -- Relu_95
Supported TIDL layer type ---            Conv -- Conv_96
Supported TIDL layer type ---            Relu -- Relu_97
Supported TIDL layer type ---          Resize -- Resize_99
Supported TIDL layer type ---          Concat -- Concat_100
Supported TIDL layer type ---            Conv -- Conv_107
Supported TIDL layer type ---            Relu -- Relu_108
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 ---          Concat -- Concat_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 ---          Resize -- Resize_115
Supported TIDL layer type ---          Concat -- Concat_116
Supported TIDL layer type ---            Conv -- Conv_123
Supported TIDL layer type ---            Relu -- Relu_124
Supported TIDL layer type ---            Conv -- Conv_117
Supported TIDL layer type ---            Relu -- Relu_118
Supported TIDL layer type ---            Conv -- Conv_119
Supported TIDL layer type ---            Relu -- Relu_120
Supported TIDL layer type ---            Conv -- Conv_121
Supported TIDL layer type ---            Relu -- Relu_122
Supported TIDL layer type ---          Concat -- Concat_125
Supported TIDL layer type ---            Conv -- Conv_126
Supported TIDL layer type ---            Relu -- Relu_127
Supported TIDL layer type ---            Conv -- Conv_128
Supported TIDL layer type ---            Relu -- Relu_129
Supported TIDL layer type ---          Concat -- Concat_130
Supported TIDL layer type ---            Conv -- Conv_137
Supported TIDL layer type ---            Relu -- Relu_138
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 ---          Concat -- Concat_139
Supported TIDL layer type ---            Conv -- Conv_140
Supported TIDL layer type ---            Relu -- Relu_141
Supported TIDL layer type ---            Conv -- Conv_144
Supported TIDL layer type ---         Sigmoid -- Sigmoid_145
Supported TIDL layer type ---            Conv -- Conv_142
Supported TIDL layer type ---         Sigmoid -- Sigmoid_143

Preliminary subgraphs created = 1
Final number of subgraphs created are : 1, - Offloaded Nodes - 138, Total Nodes - 138
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.
/mnt/data/edgeai-tidl-tools-08_02_00_05/tidl_tools/tidl_graphVisualiser_runtimes.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
Running runtimes graphviz - /mnt/data/edgeai-tidl-tools-08_02_00_05/tidl_tools/tidl_graphVisualiser_runtimes.out ../../../model-artifacts//PSD_2branch_sigmoid_0704//allowedNode.txt ../../../model-artifacts//PSD_2branch_sigmoid_0704//tempDir/graphvizInfo.txt ../../../model-artifacts//PSD_2branch_sigmoid_0704//tempDir/runtimes_visualization.svg
*** In TIDL_createStateImportFunc ***
Compute on node : TIDLExecutionProvider_TIDL_0_0
  0,            Conv, 3, 1, images, 126
  1,            Relu, 1, 1, 126, 127
  2,            Conv, 3, 1, 127, 128
  3,            Relu, 1, 1, 128, 129
  4,            Conv, 3, 1, 129, 130
  5,            Relu, 1, 1, 130, 131
  6,            Conv, 3, 1, 131, 132
  7,            Relu, 1, 1, 132, 133
  8,            Conv, 3, 1, 133, 134
  9,            Relu, 1, 1, 134, 135
 10,            Conv, 3, 1, 135, 136
 11,            Relu, 1, 1, 136, 137
 12,             Add, 2, 1, 133, 138
 13,            Conv, 3, 1, 131, 139
 14,            Relu, 1, 1, 139, 140
 15,          Concat, 2, 1, 138, 141
 16,            Conv, 3, 1, 141, 142
 17,            Relu, 1, 1, 142, 143
 18,            Conv, 3, 1, 143, 144
 19,            Relu, 1, 1, 144, 145
 20,            Conv, 3, 1, 145, 146
 21,            Relu, 1, 1, 146, 147
 22,            Conv, 3, 1, 147, 148
 23,            Relu, 1, 1, 148, 149
 24,            Conv, 3, 1, 149, 150
 25,            Relu, 1, 1, 150, 151
 26,             Add, 2, 1, 147, 152
 27,            Conv, 3, 1, 152, 153
 28,            Relu, 1, 1, 153, 154
 29,            Conv, 3, 1, 154, 155
 30,            Relu, 1, 1, 155, 156
 31,             Add, 2, 1, 152, 157
 32,            Conv, 3, 1, 157, 158
 33,            Relu, 1, 1, 158, 159
 34,            Conv, 3, 1, 159, 160
 35,            Relu, 1, 1, 160, 161
 36,             Add, 2, 1, 157, 162
 37,            Conv, 3, 1, 145, 163
 38,            Relu, 1, 1, 163, 164
 39,          Concat, 2, 1, 162, 165
 40,            Conv, 3, 1, 165, 166
 41,            Relu, 1, 1, 166, 167
 42,            Conv, 3, 1, 167, 168
 43,            Relu, 1, 1, 168, 169
 44,            Conv, 3, 1, 169, 170
 45,            Relu, 1, 1, 170, 171
 46,            Conv, 3, 1, 171, 172
 47,            Relu, 1, 1, 172, 173
 48,            Conv, 3, 1, 173, 174
 49,            Relu, 1, 1, 174, 175
 50,             Add, 2, 1, 171, 176
 51,            Conv, 3, 1, 176, 177
 52,            Relu, 1, 1, 177, 178
 53,            Conv, 3, 1, 178, 179
 54,            Relu, 1, 1, 179, 180
 55,             Add, 2, 1, 176, 181
 56,            Conv, 3, 1, 181, 182
 57,            Relu, 1, 1, 182, 183
 58,            Conv, 3, 1, 183, 184
 59,            Relu, 1, 1, 184, 185
 60,             Add, 2, 1, 181, 186
 61,            Conv, 3, 1, 169, 187
 62,            Relu, 1, 1, 187, 188
 63,          Concat, 2, 1, 186, 189
 64,            Conv, 3, 1, 189, 190
 65,            Relu, 1, 1, 190, 191
 66,            Conv, 3, 1, 191, 192
 67,            Relu, 1, 1, 192, 193
 68,            Conv, 3, 1, 193, 194
 69,            Relu, 1, 1, 194, 195
 70,         MaxPool, 1, 1, 195, 202
 71,         MaxPool, 1, 1, 202, 203
 72,         MaxPool, 1, 1, 203, 204
 73,         MaxPool, 1, 1, 204, 205
 74,         MaxPool, 1, 1, 205, 206
 75,         MaxPool, 1, 1, 206, 207
 76,          Concat, 4, 1, 195, 208
 77,            Conv, 3, 1, 208, 209
 78,            Relu, 1, 1, 209, 210
 79,            Conv, 3, 1, 210, 211
 80,            Relu, 1, 1, 211, 212
 81,            Conv, 3, 1, 212, 213
 82,            Relu, 1, 1, 213, 214
 83,            Conv, 3, 1, 214, 215
 84,            Relu, 1, 1, 215, 216
 85,            Conv, 3, 1, 210, 217
 86,            Relu, 1, 1, 217, 218
 87,          Concat, 2, 1, 216, 219
 88,            Conv, 3, 1, 219, 220
 89,            Relu, 1, 1, 220, 221
 90,            Conv, 3, 1, 221, 222
 91,            Relu, 1, 1, 222, 223
 92,          Resize, 3, 1, 223, 228
 93,          Concat, 2, 1, 228, 229
 94,            Conv, 3, 1, 229, 230
 95,            Relu, 1, 1, 230, 231
 96,            Conv, 3, 1, 231, 232
 97,            Relu, 1, 1, 232, 233
 98,            Conv, 3, 1, 233, 234
 99,            Relu, 1, 1, 234, 235
100,            Conv, 3, 1, 229, 236
101,            Relu, 1, 1, 236, 237
102,          Concat, 2, 1, 235, 238
103,            Conv, 3, 1, 238, 239
104,            Relu, 1, 1, 239, 240
105,            Conv, 3, 1, 240, 241
106,            Relu, 1, 1, 241, 242
107,          Resize, 3, 1, 242, 247
108,          Concat, 2, 1, 247, 248
109,            Conv, 3, 1, 248, 249
110,            Relu, 1, 1, 249, 250
111,            Conv, 3, 1, 250, 251
112,            Relu, 1, 1, 251, 252
113,            Conv, 3, 1, 252, 253
114,            Relu, 1, 1, 253, 254
115,            Conv, 3, 1, 248, 255
116,            Relu, 1, 1, 255, 256
117,          Concat, 2, 1, 254, 257
118,            Conv, 3, 1, 257, 258
119,            Relu, 1, 1, 258, 259
120,            Conv, 3, 1, 259, 274
121,         Sigmoid, 1, 1, 274, detections
122,            Conv, 3, 1, 259, 260
123,            Relu, 1, 1, 260, 261
124,          Concat, 2, 1, 261, 262
125,            Conv, 3, 1, 262, 263
126,            Relu, 1, 1, 263, 264
127,            Conv, 3, 1, 264, 265
128,            Relu, 1, 1, 265, 266
129,            Conv, 3, 1, 266, 267
130,            Relu, 1, 1, 267, 268
131,            Conv, 3, 1, 262, 269
132,            Relu, 1, 1, 269, 270
133,          Concat, 2, 1, 268, 271
134,            Conv, 3, 1, 271, 272
135,            Relu, 1, 1, 272, 273
136,            Conv, 3, 1, 273, 276
137,         Sigmoid, 1, 1, 276, 277

Input tensor name -  images
Output tensor name - 277
Output tensor name - detections
In TIDL_onnxRtImportInit subgraph_name=detections277
Layer 0, subgraph id detections277, name=277
Layer 1, subgraph id detections277, name=detections
Layer 2, subgraph id detections277, name=images
In TIDL_runtimesOptimizeNet: LayerIndex = 141, dataIndex = 139

 ************** Frame index 1 : Running float import *************
In TIDL_runtimesPostProcessNet
/mnt/data/edgeai-tidl-tools-08_02_00_05/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
INFORMATION: [TIDL_ResizeLayer] Resize_99 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_115 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize.
WARNING: [TIDL_E_DATAFLOW_INFO_NULL] ti_cnnperfsim.out fails to allocate memory in MSMC. Please look into perfsim log. This model can only be used on PC emulation, it will get fault on target.
****************************************************
**          3 WARNINGS          0 ERRORS          **
****************************************************
************ in TIDL_subgraphRtCreate ************
  0.0s:  VX_ZONE_INIT:Enabled
 0.10s:  VX_ZONE_ERROR:Enabled
 0.11s:  VX_ZONE_WARNING:Enabled
 0.1050s:  VX_ZONE_INIT:[tivxInit:178] Initialization Done !!!
************ TIDL_subgraphRtCreate done ************
 *******   In TIDL_subgraphRtInvoke  ********

Network Cycles 0
 Layer,   Layer Cycles,kernelOnlyCycles, coreLoopCycles,LayerSetupCycles,dmaPipeupCycles, dmaPipeDownCycles, PrefetchCycles,copyKerCoeffCycles,LayerDeinitCycles,LastBlockCycles, paddingTrigger,    paddingWait,LayerWithoutPad,LayerHandleCopy,   BackupCycles,  RestoreCycles,
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     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,
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 Sum of Layer Cycles 0
Sub Graph Stats 430.000000 478525.000000 94.000000
*******  TIDL_subgraphRtInvoke done  ********

**********  Frame Index 1 : Running float inference **********
*******   In TIDL_subgraphRtInvoke  ********

Network Cycles 0
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    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,
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    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,
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    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,
 Sum of Layer Cycles 0
Sub Graph Stats 258.000000 507634.000000 56.000000
*******  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 : /mnt/data/edgeai-tidl-tools-08_02_00_05/model-artifacts/PSD_2branch_sigmoid_0704/tempDir/detections277_tidl_io_.qunat_stats_config.txt
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T     493.72  .... ..... ... .... .....
#    1 . .. T     481.88  .... ..... ... .... .....
~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /mnt/data/edgeai-tidl-tools-08_02_00_05/model-artifacts/PSD_2branch_sigmoid_0704/tempDir/detections277_tidl_io_.qunat_stats_config.txt
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T     407.50  .... ..... ... .... .....
#    1 . .. T     437.59  .... ..... ... .... .....


 *****************   Calibration iteration number 0 completed ************************




~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /mnt/data/edgeai-tidl-tools-08_02_00_05/model-artifacts/PSD_2branch_sigmoid_0704/tempDir/detections277_tidl_io_.qunat_stats_config.txt
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T     368.81  .... ..... ... .... .....
#    1 . .. T     408.48  .... ..... ... .... .....


 *****************   Calibration iteration number 1 completed ************************




~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /mnt/data/edgeai-tidl-tools-08_02_00_05/model-artifacts/PSD_2branch_sigmoid_0704/tempDir/detections277_tidl_io_.qunat_stats_config.txt
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T     385.66  .... ..... ... .... .....
#    1 . .. T     346.94  .... ..... ... .... .....


 *****************   Calibration iteration number 2 completed ************************




------------------ Network Compiler Traces -----------------------------
successful Memory allocation
substitute string tidl_net_ not found
/mnt/data/edgeai-tidl-tools-08_02_00_05/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
INFORMATION: [TIDL_ResizeLayer] Resize_99 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_115 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.
****************************************************
**          2 WARNINGS          0 ERRORS          **
****************************************************


Completed_Model :     1, Name : PSD_2branch_sigmoid_0704                          , Total time :    3300.29, Offload Time :     493.08 , DDR RW MBs : 0, Output File : py_out_PSD_2branch_sigmoid_0704_NOR_20220105_140133_M_00001_0700.jpg


************ in TIDL_subgraphRtDelete ************
 root@2ecb8cf022d0:/mnt/data/edgeai-tidl-tools-08_02_00_05/examples/osrt_python/ort#
  • 0 in reply to yuanfu duan
    TI__Genius 9065 points

    Hi,

    Thanks for sharing the log. The compilation has happened correctly. Can you share the log for inference with the debug_level enabled?

    Regards,
    Anand