Generate requirement files and pyproject.toml for an AXLearn GPU workflow using seed-env

[kanglant]

Steps:

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GPU container dependencies from AXLearn's pyproject.toml into a requirements.txt file, excluding seqio due to its outdated protobuf upper bound.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.

[github-actions[bot]]

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