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器件型号：AM62A7 工具与软件：
尊敬的 TI 团队：
我正在使用 edgeai-tidl-tools SDK、并编译10.01.04.00分支、以使用 AM62A7板上的模型。 在编译 SDK 时、我面临这个问题。
以下是我正在执行的步骤：
# Setup on X86_PC (ubuntu 22.04, python version - Python 3.10.12) git clone github.com/.../edgeai-tidl-tools.git cd edgeai-tidl-tools git checkout 10_01_04_00 export SOC=am62a source ./setup.sh # Compile and Validate on X86_PC mkdir build && cd build source ./scripts/run_python_examples.sh python3 ./scripts/gen_test_report.py
运行source ./scripts/run_python_examples.sh""命令时、Ubuntu 出现以下错误：
X64 Architecture
1
Running 4 Models - ['cl-tfl-mobilenet_v1_1.0_224', 'ss-tfl-deeplabv3_mnv2_ade20k_float', 'od-tfl-ssd_mobilenet_v2_300_float', 'od-tfl-ssdlite_mobiledet_dsp_320x320_coco']
Running_Model : cl-tfl-mobilenet_v1_1.0_224
Running_Model : ss-tfl-deeplabv3_mnv2_ade20k_float
Running_Model : od-tfl-ssd_mobilenet_v2_300_float
Running_Model : od-tfl-ssdlite_mobiledet_dsp_320x320_coco
Downloading ../../../models/public/deeplabv3_mnv2_ade20k_float.tflite
========================= [Model Compilation Started] =========================
Model compilation will perform the following stages:
1. Parsing
2. Graph Optimization
3. Quantization & Calibration
4. Memory Planning
============================== [Version Summary] ==============================
-------------------------------------------------------------------------------
| TIDL Tools Version | 10_01_04_00 |
-------------------------------------------------------------------------------
| C7x Firmware Version | 10_01_00_01 |
-------------------------------------------------------------------------------
============================== [Parsing Started] ==============================
[TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options
Total Nodes = 31
-------------------------------------------------------------------------------
| Core | No. of Nodes | Number of Subgraphs |
-------------------------------------------------------------------------------
| C7x | 31 | 1 |
| CPU | 0 | x |
-------------------------------------------------------------------------------
============================= [Parsing Completed] =============================
==================== [Optimization for subgraph_86 started] ====================
Process Process-2:
Traceback (most recent call last):
File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
self.run()
File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/admin/JayK/tidl-tools/edgeai-tidl-tools/examples/osrt_python/tfl/tflrt_delegate.py", line 240, in run_model
download_model(models_configs, model)
File "/home/admin/JayK/tidl-tools/edgeai-tidl-tools/examples/osrt_python/common_utils.py", line 294, in download_model
tflOpt.tidlTfliteModelOptimize(
NameError: name 'tflOpt' is not defined
[TIDL Import] [PARSER] WARNING: Requested output data convert layer is not added to the network, It is currently not optimal
----------------------------- Optimization Summary -----------------------------
--------------------------------------------------------------------------------
| Layer | Nodes before optimization | Nodes after optimization |
--------------------------------------------------------------------------------
| TIDL_SoftMaxLayer | 1 | 1 |
| TIDL_SqueezeLayer | 1 | 0 |
| TIDL_ConvolutionLayer | 28 | 28 |
| TIDL_PoolingLayer | 1 | 1 |
--------------------------------------------------------------------------------
=================== [Optimization for subgraph_86 completed] ===================
/home/admin/JayK/tidl-tools/edgeai-tidl-tools/tools/AM62A/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
[TIDL Import] WARNING: System command failed with return code : 32512. Skipping Graph Visualization.
The soft limit is 10240
The hard limit is 10240
MEM: Init ... !!!
MEM: Init ... Done !!!
0.0s: VX_ZONE_INIT:Enabled
0.34s: VX_ZONE_ERROR:Enabled
0.38s: VX_ZONE_WARNING:Enabled
0.48340s: VX_ZONE_INIT:[tivxInit:190] Initialization Done !!!
************ Frame index 1 : Running float inference ****************
************ Frame index 2 : Running fixed point mode for calibration ****************
-------- Running Calibration in Float Mode to Collect Tensor Statistics --------
[=============================================================================] 100 %
------------------ Fixed-point Calibration Iteration [1 / 5]: ------------------
[TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 132 -- [tidl_import_core.cpp, 678]
[TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1746]
[TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 3992]
[TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4313]
[TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5195]
[TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4428]
[TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1414]
Completed_Model : 1, Name : cl-tfl-mobilenet_v1_1.0_224 , Total time : 3555.15, Offload Time : 0.00 , DDR RW MBs : 18446744073709.55, Output Image File : py_out_cl-tfl-mobilenet_v1_1.0_224_ADE_val_00001801.jpg, Output Bin File : py_out_cl-tfl-mobilenet_v1_1.0_224_ADE_val_00001801.bin
MEM: Deinit ... !!!
MEM: Alloc's: 26 alloc's of 68565333 bytes
MEM: Free's : 26 free's of 68565333 bytes
MEM: Open's : 0 allocs of 0 bytes
MEM: Deinit ... Done !!!
因此、"定点校准迭代"失败、每次都失败。 我不确定那是正确的、生成的模型和模式伪影是正确的？ 如果我必须在此处进行任何更改、请告诉我。
此外、我遇到了我无法解决的以下误差。
2025-02-20 14:19:37.717610752 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.
Process Process-2:
Traceback (most recent call last):
File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
self.run()
File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/admin/JayK/tidl-tools/edgeai-tidl-tools/examples/osrt_python/ort/onnxrt_ep.py", line 392, in run_model
imgs, output, proc_time, sub_graph_time, height, width = infer_image(sess, input_images, config)
File "/home/admin/JayK/tidl-tools/edgeai-tidl-tools/examples/osrt_python/ort/onnxrt_ep.py", line 208, in infer_image
output = list(sess.run(None, {input_name: input_data}))
File "/home/admin/.local/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run
return self._sess.run(output_names, input_feed, run_options)
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.
MEM: Deinit ... !!!
MEM: Alloc's: 27 alloc's of 208282052 bytes
MEM: Free's : 27 free's of 208282052 bytes
MEM: Open's : 0 allocs of 0 bytes
MEM: Deinit ... Done !!!
此致、
Jay
