Add per-sample gradient norm computation as a functionality #724
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) Summary: Pull Request resolved: pytorch#724 Per-sample gradient norm is computed for Ghost Clipping, but it can be useful generally. Exposed it as a functionality. ``` ... loss.backward() per_sample_norms = model.per_sample_gradient_norms ``` Reviewed By: iden-kalemaj Differential Revision: D68634969 fbshipit-source-id: 7d5cb8a05de11d7492d3c1ae7f7384243cc03c73
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Summary:
Per-sample gradient norm is computed for Ghost Clipping, but it can be useful generally. Exposed it as a functionality.
Differential Revision: D68634969