seniorPyTorch
How does PyTorch handle non-deterministic operations in GPU training?
Updated May 17, 2026
Short answer
Some GPU ops are non-deterministic due to parallel reductions and floating-point ordering.
Deep explanation
Operations like atomic adds or cuDNN algorithms may produce slightly different results across runs. PyTorch allows enabling deterministic algorithms but at performance cost.
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