seniorPyTorch
How does PyTorch handle in-place operations in autograd?
Updated May 17, 2026
Short answer
In-place operations modify tensors directly and can interfere with autograd graph integrity.
Deep explanation
Autograd tracks version counters of tensors. If an in-place operation changes a tensor needed for gradient computation, PyTorch raises an error or produces incorrect gradients.
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