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Promote Supermask out of prototype #1729
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1729
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 1 PendingAs of commit 343f3fe with merge base 7b37eb0 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
cpuhrsch
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liangel-02
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This PR promotes Supermask and block sparsity from prototype -> `torchao.sparsity`, instead of the `apply_supermask` function which was previously closely coupled with SAM. It adds a new public API for `SupermaskLinear`, which users can use to add Supermask to their models for training with ``` sparsify_(model, lambda x: SupermaskLinear.from_linear(x, block_size=64, sparsity_level=0.9) ``` To accelerate for inference, we convert the `SupermaskLinear` model back into a `nn.Linear`, which simplifies the Supermask logic: ``` sparsify_(model, lambda x: SupermaskLinear.to_linear(x, sparsity_level=0.9) ``` **bc-breaking** The previous prototype APIs, `torchao.sparsity.prototype.superblock.supermask` and `torchao.prototype.sparsity.superblock.supermask` have been deprecated. You can use `torchao.sparsity.supermask` instead.
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sparsity
topic: bc-breaking
Use this tag if this PR breaks backward compatibility
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This PR promotes Supermask and block sparsity from prototype ->
torchao.sparsity
, instead of theapply_supermask
function which was previously closely coupled with SAM.It adds a new public API for
SupermaskLinear
, which users can use to add Supermask to their models for training withTo accelerate for inference, we convert the
SupermaskLinear
model back into ann.Linear
, which simplifies the Supermask logic:bc-breaking
The previous prototype APIs,
torchao.sparsity.prototype.superblock.supermask
andtorchao.prototype.sparsity.superblock.supermask
have been deprecated.You can use
torchao.sparsity.supermask
instead.