【Hackathon 9th No.116】 feat: implement torch._C._linalg.linalg_vector_norm to stable API conversion #346
Conversation
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
…e API torch.linalg.vector_norm in UnstableToStableBackend class. Update serialization utility to include new replacement rule for vector_norm. Refactor serialization logic for better reusability across the codebase.
|
Thanks for your contribution! |
playaswd
changed the title
…ecessary blank lines in the vector norm conversion method.
Contributor
Hasn’t this PR already been submitted yesterday?
|
Author
ok |
Collaborator
|
#352 请按照这个 pr 的要求改动代码，减少合入冲突。 |
Collaborator
|
closed due to the following PR is merged: |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 participants
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Outdated suggestions cannot be applied.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.
This pull request adds support for converting the internal
torch._C._linalg.linalg_vector_normfunction to the publictorch.linalg.vector_normAPI in both the graph transformation logic and the graph serialization utility. This ensures that models using the internal function are properly mapped to the stable, public API during processing and serialization.API normalization and conversion:
_impl_unstable_to_stable_linalg_vector_norminunstable_to_stable_backend.pyto replace all uses oftorch._C._linalg.linalg_vector_normwithtorch.linalg.vector_normin a givenGraphModuleand its nested modules.serialize_graph_module_to_strfunction infx_graph_serialize_util.pyto include a regex replacement rule that serializestorch._C._linalg.linalg_vector_normastorch.linalg.vector_norm.