The bug that taught me more about PyTorch than years of using it
SMRTR summary
A machine learning engineer's training loss mysteriously plateaued, leading to the discovery of a critical PyTorch bug in Apple Silicon's MPS backend. The bug caused Adam optimizer operations to silently fail on non-contiguous tensors, freezing model weights during training. Through systematic debugging, they traced the issue to specific GPU kernel implementations that couldn't handle certain memory layouts, ultimately contributing fixes to PyTorch's codebase.
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