pytorch
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opacus
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13171643435
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coverage: 85.214% (-0.1%) from 85.339%
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facebook-github-botAdd per-sample gradient norm computation as a functionality (#724) Summary: Pull Request resolved: https://github.com/pytorch/opacus/pull/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: 7d5cb8a05
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6 existing lines in 1 file now uncovered.5135 of 6026 relevant lines covered (85.21%)
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-3.31% | opacus/grad_sample/grad_sample_module_fast_gradient_clipping.py |
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| ID | Job ID | Ran | Files | Coverage | |
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| 1 | run-1 - 13171643435.1 | 118 |
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| 2 | run-2 - 13171643435.2 | 118 |
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| 3 | run-3 - 13171643435.3 | 65 |
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