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

Updated on 2025-06-06 GMT+08:00

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Error Message "CUDNN_STATUS_NOT_SUPPORTED" Is Displayed in Logs

During PyTorch training, you encounter the following error message:

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

cuDNN does not support non-contiguous input data.

Convert the input data into contiguous format:

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

Before creating a training job, use the ModelArts development environment to debug your training code and minimize migration errors.

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

Parent topic: Service Code Issues

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