Generate requirement files and pyproject.toml for an AXLearn GPU workflow using seed-env #1320
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
…flow using seed-env 1. Copy the necessary GPU container dependencies from AXLearn's pyproject.toml into a requirements.txt file, excluding seqio due to its outdated protobuf upper bound. 2. pip install seed-env 3. run `seed-env --local-requirements=gpu_requirements.txt --host-name=axlearn --seed-commit=779c6aefcac3ff0149b28e183770cc1da0879c84 --hardware=gpu` 4. Find the generated lock files and pyproject.toml within the generated_env/ folder.
|
This pull request has been automatically marked as stale because it has been inactive for 60 days. It will be closed in 7 days if no further activity occurs. If you would like to continue working on this, please remove the |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
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Outdated suggestions cannot be applied.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.
Steps:
seed-env --local-requirements=gpu_requirements.txt --host-name=axlearn --seed-commit=779c6aefcac3ff0149b28e183770cc1da0879c84 --hardware=gpu