-
Notifications
You must be signed in to change notification settings - Fork 3k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Enable Address Sanitizer in CI #19073
Merged
Merged
Conversation
This file contains 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
…into snnn/santi
mszhanyi
approved these changes
Jan 12, 2024
snnn
added a commit
that referenced
this pull request
Jan 14, 2024
…EP (#19124) ### Description Set default flags nvcc and do not set the flags for ROCM EP. ### Motivation and Context 1. To meet a BinSkim requirement for CUDA EP. https://github.com/microsoft/binskim/blob/main/docs/BinSkimRules.md#rule-BA2024EnableSpectreMitigations 2. The ROCM EP's pipeline is broken since PR #19073 . Unit tests failed to load the EP with the following error message: Failed to load library libonnxruntime_providers_rocm.so with error: /build/Release/libonnxruntime_providers_rocm.so: undefined symbol: vtable for onnxruntime::InsertMaxPoolOutput . This PR is a hot fix to bring the pipeline back. So far I don't know why the error happened. The symbol "InsertMaxPoolOutput" is in onnxruntime_optimizers. I don't see any EP code references it directly.
mszhanyi
pushed a commit
that referenced
this pull request
Jan 15, 2024
…EP (#19124) ### Description Set default flags nvcc and do not set the flags for ROCM EP. ### Motivation and Context 1. To meet a BinSkim requirement for CUDA EP. https://github.com/microsoft/binskim/blob/main/docs/BinSkimRules.md#rule-BA2024EnableSpectreMitigations 2. The ROCM EP's pipeline is broken since PR #19073 . Unit tests failed to load the EP with the following error message: Failed to load library libonnxruntime_providers_rocm.so with error: /build/Release/libonnxruntime_providers_rocm.so: undefined symbol: vtable for onnxruntime::InsertMaxPoolOutput . This PR is a hot fix to bring the pipeline back. So far I don't know why the error happened. The symbol "InsertMaxPoolOutput" is in onnxruntime_optimizers. I don't see any EP code references it directly.
snnn
added a commit
that referenced
this pull request
Jan 29, 2024
### Description In PR #19073 I mistunderstood the value of "--parallel". Instead of testing if args.parallel is None or not , I should test the returned value of number_of_parallel_jobs function. If build.py was invoked without --parallel, then args.parallel equals to 1. Because it is the default value. Then we should not add "/MP". However, the current code adds it. Because if `args.paralllel` is evaluated to `if 1` , which is True. If build.py was invoked with --parallel with additional numbers, then args.parallel equals to 0. Because it is unspecified. Then we should add "/MP". However, the current code does not add it. Because `if args.paralllel` is evaluated to `if 0` , which is False. This also adds a new build flag: use_binskim_compliant_compile_flags, which is intended to be only used in ONNX Runtime team's build pipelines for compliance reasons. ### Motivation and Context
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.
Description
Limitations:
Motivation and Context
To catch memory issues.