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Been working on this for the last few months. I've been working on PyTorch for the past few years and I always felt, many a times my work went into dump, because of some mistakes I made in the code. torch-preflight reads your PyTorch code and catches the bugs costing you GPU hours. Things like losses.append(loss), which holds the autograd graph from every step until CUDA dies on you or no…
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