This repository was archived by the owner on Sep 18, 2024. It is now read-only.
Support Speedup for Slim Pruner.#4008
Merged
Merged
Conversation
Slim pruner prunes the BN layers which is not supported in the mask_conflict utils, in this PR, we support the BN layers in mask_conflict so that Slim pruner is supported in speedup.
J-shang
approved these changes
Aug 3, 2021
| prune_type: str | ||
| This parameter indicates the channel pruning type: 1) `Filter` | ||
| prune the filter of the convolution layer to prune the corresponding | ||
| channels 2) prune the channel in the batchnorm layer |
QuanluZhang
reviewed
Aug 3, 2021
| A dict object that stores the masks. | ||
| model: nn.Module | ||
| Model object which the mask can be applied on. | ||
| Returns: |
QuanluZhang
approved these changes
Aug 3, 2021
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Speedup does not support Slim pruners at the beginning(v1.6). Slim pruner prunes the BN layers which is not supported in the
mask_conflict utils, in this PR, we support the BN layers in mask_conflict so that Slim pruner is supported in speedup.