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pytorch autograd consumes too much memory #1

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msubhransu opened this issue Dec 20, 2017 · 0 comments

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msubhransu commented Dec 20, 2017

The forward function function using Newton Schulz iteration has a larger memory footprint than estimated. Selective checkpointing might help.

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