Dataparallel Training #257
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I have verified that this yields speedups by using multiple CPU devices. |
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apax/train/trainer.py
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| # print(jax.tree_map(lambda x: x.devices(), batch)) | ||
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Tetracarbonylnickel
approved these changes
Apr 8, 2024
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I have added automatic dataparallel training. It can be disabled with a config option, but otherwise training will now use all available devices. The implementation is based on Jax's sharding API.
Parallel ensemble training is not supported yet, but this can be added in the future.