Provide Target machine architecture for cross-compile scenarios. #21780
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
![copybara-service[bot]](https://avatars.githubusercontent.com/in/44061?s=60&v=4){kind=small}
copybara-service
bot
force-pushed
the
test_719020277
branch
2 times, most recently
from
afd01d2 to
7fc0c06
Compare
copybara-service
bot
changed the title
copybara-service
bot
force-pushed
the
test_719020277
branch
4 times, most recently
from
5928fd0 to
511bb67
Compare
CUDA/CUDNN/NCCL repositories are created on a host machine, so if we need to download redistributions for other architectures in cross-compile scenario, we need to pass the target architecture name to repo rules, e.g. `--repo_env=CUDA_REDIST_TARGET_PLATFORM=aarch64` PiperOrigin-RevId: 720254498
copybara-service
bot
force-pushed
the
test_719020277
branch
from
511bb67 to
7ad64b5
Compare
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Outdated suggestions cannot be applied.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.
Provide Target machine architecture for cross-compile scenarios.
CUDA/CUDNN/NCCL repositories are created on a host machine, so if we need to download redistributions for other architectures in cross-compile scenario, we need to pass the target architecture name to repo rules, e.g.
--repo_env=CUDA_REDIST_TARGET_PLATFORM=aarch64