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[ao][sparsity] README for data sparsifier lightning callbacks #81813
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The README contains instructions on using the lightning callbacks to sparsify the model during and post training. Test Plan: None [ghstack-poisoned]
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Please, add signatures for the functions to let users know what each constructor/method/function is expecting and outputting.
…cks" The README contains instructions on using the lightning callbacks to sparsify the model during and post training. Test Plan: None [ghstack-poisoned]
…cks" The README contains instructions on using the lightning callbacks to sparsify the model during and post training. Test Plan: None [ghstack-poisoned]
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@pytorchbot merge -g |
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Hey @macandro96. |
#81813) Summary: The README contains instructions on using the lightning callbacks to sparsify the model during and post training. Pull Request resolved: #81813 Approved by: https://github.com/z-a-f Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/7af2baffce296371e39ca2761c63497bc232f198 Test plan from GitHub: None Reviewed By: osalpekar Differential Revision: D38226991 Pulled By: macandro96 fbshipit-source-id: 59770751b4b344853d9d3a059da23b3d0f2d3962
Stack from ghstack (oldest at bottom):
The README contains instructions on using the lightning callbacks to sparsify the
model during and post training.
Test Plan: None