pytorch memory_error ai_generated true

GPU memory increasing every iteration: memory leak

ID: pytorch/memory-leak-training

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78%Fix Rate
82%Confidence
3Evidence
2023-01-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
2 active — — —

Root Cause

GPU memory growing during training loop indicating leak.

generic

Workarounds

  1. 92% success Detach loss before logging: loss.item() not loss
  2. 90% success Ensure no computation graph retention: loss = loss.detach()

Dead Ends

Common approaches that don't work:

  1. Call torch.cuda.empty_cache() every iteration 72% fail

    Slow, doesnt fix root cause

  2. Reduce batch size to compensate 68% fail

    Masks the leak