[fix] fix plugin te_general_grouped test bug#81
Merged
zhaoyinglia merged 1 commit intoJun 25, 2026
Merged
Conversation
zhaoyinglia
approved these changes
Jun 25, 2026
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 join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
Replace the grouped GEMM plugin test import from
transformer_engine_torch_nvtotransformer_engine_torch.Why
The test should load the standard Transformer Engine torch extension module. Importing
transformer_engine_torch_nvcan fail because that is not the expected module name in this project.Impact
This fixes startup/import failure for
transformer_engine/plugin/tests/test_te_general_grouped.pybefore the grouped GEMM checks run.Validation
git diff --check origin/main...HEADpython3 -c 'import ast, pathlib; path = pathlib.Path("transformer_engine/plugin/tests/test_te_general_grouped.py"); ast.parse(path.read_text())'Full test execution was not run locally because it requires the project runtime/CUDA environment.