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* infra * wip * add test * typo * typo * update * rename * fix * full path * formatting * reorder * update * update * Update release/horovod_tests/workloads/horovod_user_test.py Co-authored-by: matthewdeng <matthew.j.deng@gmail.com> * bump num_workers * update installs * try * add pip_packages * min_workers * fix * bump pg timeout * Fix symlink * fix * fix * cmake * fix * pin filelock * final * update * fix * Update release/horovod_tests/workloads/horovod_user_test.py * fix * fix * separate compute template * test latest and master Co-authored-by: matthewdeng <matthew.j.deng@gmail.com>
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# Make sure the driver versions are the same as cluster versions.
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# The cluster uses ray-ml Docker image.
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# ray-ml Docker image installs dependencies from ray/python/requirements/ml/ directory.
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# We constrain on these requirements file so that the same versions are installed.
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-c ../../python/requirements/ml/requirements_dl.txt
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torch
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torchvision |