[参考译文] PROCESSOR-SDK-J722S：[TIDL]将自定义 onnx 模型转换为 TIDL 格式失败

https://e2e.ti.com/support/processors-group/processors/f/processors-forum/1446866/processor-sdk-j722s-tidl-convert-custom-onnx-model-to-tidl-format-fail

工具与软件：

嗨、团队：

TIDL 版本：10.00.08.00

SDK Linux 映像：10.00.00.08

我使用示例代码：~/edgeai-tidl-tools/examples/jupyter_notebooks/custom-model-onnx.ipynb 将 onnx 文件转换为 TIDL 格式、

但是我得到下面两个错误：

1. Pad/Transpose /分割节点不支持,但我检查支持列表,Pad/Transpose /分割支持。  

我还要检查上面的节点 是否满足条件。

https://github.com/TexasInstruments/edgeai-tidl-tools/blob/10_00_08_00/docs/supported_ops_rts_versions.md

收到错误  

Traceback (most recent call last):
  File "/home/airdsw/ken/root/edgeai-tidl-tools-10_00_08_00/examples/jupyter_notebooks/tidl_model_convert_onnx.py", line 88, in <module>
    output = list(sess.run(None, {input_details[0].name : preprocess(calib_images[num])}))[0]
  File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 200, in run
    return self._sess.run(output_names, input_feed, run_options)
onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running ReorderInput node. Name:'ReorderInput' Status Message: /root/onnxruntime/onnxruntime/contrib_ops/cpu/nchwc_ops.cc:17 virtual onnxruntime::common::Status onnxruntime::contrib::ReorderInput::Compute(onnxruntime::OpKernelContext*) const X_rank == 4 was false. 

。  

for num in tqdm.trange(len(calib_images)):
    output = list(sess.run(None, {input_details[0].name : preprocess(calib_images[num])}))[0]

但我检查  input_details[0]和  preprocess (calib_images[num]))(0)之间的形状是相同的(1、3,384,640)

请帮助我检查症状、

感谢您的帮助。