Help Center/ ModelArts/ Troubleshooting/ Training Jobs/ Service Code Issues/ Error Message "CUDNN_STATUS_NOT_SUPPORTED" Displayed in Logs

Updated on 2022-12-08 GMT+08:00

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Error Message "CUDNN_STATUS_NOT_SUPPORTED" Displayed in Logs

The following error message is displayed during PyTorch training:

RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.

The input data is not of contiguous type, which is not supported by cuDNN.

Convert the input data into contiguous data.

images = images.cuda()  
images = images.permute(0, 3, 1, 2).contigous()

Before creating a training job, use the ModelArts development environment to debug the training code to maximally eliminate errors in code migration.

Use the online notebook environment for debugging. For details, see Using JupyterLab to Develop a Model.
Use the local IDE (PyCharm or VS Code) to access the cloud environment for debugging. For details, see Using the Local IDE to Develop a Model.

Parent topic: Service Code Issues

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