[Bug] window10在部署运行cpu版本onnx推理模型的时候报错

### Checklist

- [x] I have searched related issues but cannot get the expected help.
- [x] 2. I have read the [FAQ documentation](https://github.com/open-mmlab/mmdeploy/tree/main/docs/en/faq.md) but cannot get the expected help.
- [ ] 3. The bug has not been fixed in the latest version.

### Describe the bug

按照这个教程https://github.com/open-mmlab/mmdeploy/blob/main/docs/zh_cn/02-how-to-run/prebuilt_package_windows.md
在运行到使用sdk推理时候运行出现问题，有时候没结果有时候报错。
.\image_classification.exe cpu C:\workspace\work_dir\onnx\resnet\ C:\workspace\mmpretrain\demo\demo.JPEG

有时候报错
调用加载模型时候报了这个错误
(mmdeploy) E:\zhp\code\python\mmdeployCode>python .\mmdeploy\demo\python\image_classification.py cpu .\work_dir\onnx\resnet\ .\mmpretrain\demo\demo.JPEG
loading mmdeploy_ort_net.dll ...
[2025-02-12 13:23:19.388] [mmdeploy] [info] [model.cpp:35] [DirectoryModel] Load model: ".\work_dir\onnx\resnet\"
2025-02-12 13:23:19.5217686 [E:onnxruntime:, sequential_executor.cc:339 onnxruntime::SequentialExecutor::Execute] Non-zero status code returned while running Conv node. Name:'/backbone/layer2/layer2.0/conv2/Conv_output_0_nchwc' Status
Message: nchwc_ops.cc:194 onnxruntime::contrib::NchwcConv::Compute output and sum shape must match

下降了onnxruntime版本到教程上1.8.1，没有出现提示，但是也没有返回结果

### Reproduction

python .\mmdeploy\demo\python\image_classification.py cpu .\work_dir\onnx\resnet\ .\mmpretrain\demo\demo.JPEG  
按照教程出现这个问题，https://github.com/open-mmlab/mmdeploy/issues/2491
按照里面升级了onnxruntime版本，升级和不升级，转换出来的onnx模型在运行这条命令
python .\mmdeploy\demo\python\image_classification.py cpu .\work_dir\onnx\resnet\ .\mmpretrain\demo\demo.JPEG 
一个报错，一个没有结果。



### Environment

```Shell
(mmdeploy) E:\zhp\code\python\mmdeployCode>python mmdeploy/tools/check_env.py
02/12 17:22:58 - mmengine - INFO -

02/12 17:22:58 - mmengine - INFO - **********Environmental information**********
02/12 17:23:00 - mmengine - INFO - sys.platform: win32
02/12 17:23:00 - mmengine - INFO - Python: 3.8.20 (default, Oct  3 2024, 15:19:54) [MSC v.1929 64 bit (AMD64)]
02/12 17:23:00 - mmengine - INFO - CUDA available: True
02/12 17:23:00 - mmengine - INFO - MUSA available: False
02/12 17:23:00 - mmengine - INFO - numpy_random_seed: 2147483648
02/12 17:23:00 - mmengine - INFO - GPU 0,1: NVIDIA GeForce RTX 4070
02/12 17:23:00 - mmengine - INFO - CUDA_HOME: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6
02/12 17:23:00 - mmengine - INFO - NVCC: Cuda compilation tools, release 11.6, V11.6.55
02/12 17:23:00 - mmengine - INFO - MSVC: 用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.29.30152 版
02/12 17:23:01 - mmengine - INFO - GCC: n/a
02/12 17:23:01 - mmengine - INFO - PyTorch: 1.13.1+cu116
02/12 17:23:01 - mmengine - INFO - PyTorch compiling details: PyTorch built with:
  - C++ Version: 199711
  - MSVC 192829337
  - Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
  - OpenMP 2019
  - LAPACK is enabled (usually provided by MKL)
  - CPU capability usage: AVX2
  - CUDA Runtime 11.6
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,c
ode=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
  - CuDNN 8.3.2  (built against CUDA 11.5)
  - Magma 2.5.4
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=C:/actions-runner/_work/pytorch/pytorch/builder/windows/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /w /bigo
bj -DUSE_PTHREADPOOL -openmp:experimental -IC:/actions-runner/_work/pytorch/pytorch/builder/windows/mkl/include -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_
KINETO, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, U
SE_NNPACK=OFF, USE_OPENMP=ON, USE_ROCM=OFF,

02/12 17:23:01 - mmengine - INFO - TorchVision: 0.14.1+cu116
02/12 17:23:01 - mmengine - INFO - OpenCV: 4.11.0
02/12 17:23:01 - mmengine - INFO - MMEngine: 0.10.6
02/12 17:23:01 - mmengine - INFO - MMCV: 2.0.0
02/12 17:23:01 - mmengine - INFO - MMCV Compiler: MSVC 192829924
02/12 17:23:01 - mmengine - INFO - MMCV CUDA Compiler: 11.6
02/12 17:23:01 - mmengine - INFO - MMDeploy: 1.3.1+
02/12 17:23:01 - mmengine - INFO -

02/12 17:23:01 - mmengine - INFO - **********Backend information**********
02/12 17:23:01 - mmengine - INFO - tensorrt:    None
02/12 17:23:01 - mmengine - INFO - ONNXRuntime: 1.8.1
02/12 17:23:01 - mmengine - INFO - ONNXRuntime-gpu:     None
02/12 17:23:01 - mmengine - INFO - ONNXRuntime custom ops:      Available
02/12 17:23:01 - mmengine - INFO - pplnn:       None
02/12 17:23:01 - mmengine - INFO - ncnn:        None
02/12 17:23:01 - mmengine - INFO - snpe:        None
02/12 17:23:01 - mmengine - INFO - openvino:    None
02/12 17:23:01 - mmengine - INFO - torchscript: 1.13.1+cu116
02/12 17:23:01 - mmengine - INFO - torchscript custom ops:      NotAvailable
02/12 17:23:01 - mmengine - INFO - rknn-toolkit:        None
02/12 17:23:01 - mmengine - INFO - rknn-toolkit2:       None
02/12 17:23:01 - mmengine - INFO - ascend:      None
02/12 17:23:01 - mmengine - INFO - coreml:      None
02/12 17:23:01 - mmengine - INFO - tvm: None
02/12 17:23:01 - mmengine - INFO - vacc:        None
02/12 17:23:01 - mmengine - INFO -

02/12 17:23:01 - mmengine - INFO - **********Codebase information**********
02/12 17:23:01 - mmengine - INFO - mmdet:       3.3.0
02/12 17:23:01 - mmengine - INFO - mmseg:       None
02/12 17:23:01 - mmengine - INFO - mmpretrain:  1.2.0
02/12 17:23:01 - mmengine - INFO - mmocr:       None
02/12 17:23:01 - mmengine - INFO - mmagic:      None
02/12 17:23:01 - mmengine - INFO - mmdet3d:     None
02/12 17:23:01 - mmengine - INFO - mmpose:      None
02/12 17:23:01 - mmengine - INFO - mmrotate:    None
02/12 17:23:01 - mmengine - INFO - mmaction:    None
02/12 17:23:01 - mmengine - INFO - mmrazor:     None
02/12 17:23:01 - mmengine - INFO - mmyolo:      None

(mmdeploy) E:\zhp\code\python\mmdeployCode>
```

### Error traceback

```Shell
(mmdeploy) E:\zhp\code\python\mmdeployCode>python .\mmdeploy\demo\python\image_classification.py cpu .\work_dir\onnx\resnet\ .\mmpretrain\demo\demo.JPEG
loading mmdeploy_ort_net.dll ...
[2025-02-12 13:23:19.388] [mmdeploy] [info] [model.cpp:35] [DirectoryModel] Load model: ".\work_dir\onnx\resnet\"
2025-02-12 13:23:19.5217686 [E:onnxruntime:, sequential_executor.cc:339 onnxruntime::SequentialExecutor::Execute] Non-zero status code returned while running Conv node. Name:'/backbone/layer2/layer2.0/conv2/Conv_output_0_nchwc' Status
Message: nchwc_ops.cc:194 onnxruntime::contrib::NchwcConv::Compute output and sum shape must match
```

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[Bug] window10在部署运行cpu版本onnx推理模型的时候报错 #2880

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[Bug] window10在部署运行cpu版本onnx推理模型的时候报错 #2880

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fritest commented on Feb 13, 2025

fritest commented on Feb 13, 2025

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