pytorch autograd_error ai_generated true

RuntimeError: a leaf Variable that requires grad is being used in an in-place operation

ID: pytorch/runtime-error-inplace

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82%Fix Rate
86%Confidence
3Evidence
2023-01-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
2 active — — —

Root Cause

In-place operation on leaf tensor breaks autograd computation graph.

generic

Workarounds

  1. 92% success Use out-of-place operation: x = x + 1 instead of x += 1
  2. 88% success Clone tensor before in-place: x = x.clone(); x[0] = val

Dead Ends

Common approaches that don't work:

  1. Detach tensor before in-place op 85% fail

    Breaks gradient flow

  2. Set requires_grad=False 82% fail

    No gradients for that parameter