cuda compatibility ai_generated true

RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED

ID: cuda/cudnn-not-compiled-with-support

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88%Fix Rate
90%Confidence
50Evidence
2023-01-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
12 active — — —

Root Cause

cuDNN operation not supported for the given tensor configuration, often due to tensor format or data type.

generic

Workarounds

  1. 88% success Set torch.backends.cudnn.benchmark = True to let cuDNN auto-select the best algorithm 
    benchmark mode tries all algorithms and caches the fastest one

    Sources: https://pytorch.org/docs/stable/backends.html#torch.backends.cudnn.benchmark

  2. 85% success Check if the tensor needs to be contiguous: x = x.contiguous() before the op 
    Non-contiguous tensors may not be supported by certain cuDNN kernels

Dead Ends

Common approaches that don't work:

  1. Downgrading cuDNN to an older version 70% fail

    Older versions have fewer supported configurations, not more

  2. Disabling cuDNN entirely with torch.backends.cudnn.enabled = False 65% fail

    Huge performance degradation; cuDNN is critical for conv ops

Error Chain

Frequently confused with: