[PyTorch] Don't use autograd hook for bwd reduction #781
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Signed-off-by: Kirthi Shankar Sivamani <[email protected]>
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Don't use autograd hook for bwd reduction Signed-off-by: Kirthi Shankar Sivamani <[email protected]>
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Don't use autograd hook for bwd reduction Signed-off-by: Kirthi Shankar Sivamani <[email protected]> Signed-off-by: Pawel Gadzinski <[email protected]>
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Don't use autograd hook for bwd reduction Signed-off-by: Kirthi Shankar Sivamani <[email protected]> Signed-off-by: Pawel Gadzinski <[email protected]>
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Don't use autograd hook for bwd reduction Signed-off-by: Kirthi Shankar Sivamani <[email protected]> Signed-off-by: Pawel Gadzinski <[email protected]>
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Introduced in #575; using
torch.autograd.graph.register_multi_grad_hookis the suspected reason for hangs in certain workloads. This PR uses a different design to achieve the reduction of amaxes for gradient tensors by directly calling it from the backward pass of the modules if needed.