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* Default synced_gpus to True when using FullyShardedDataParallel Fixes #30228 Related: * https://github.com/pytorch/pytorch/issues/100069 * https://github.com/pytorch/pytorch/issues/123962 Similar to DeepSpeed ZeRO Stage 3, when using FSDP with multiple GPUs and differently sized data per rank, the ranks reach different synchronization points at the same time, leading to deadlock To avoid this, we can automatically set synced_gpus to True if we detect that a PreTrainedModel is being managed by FSDP using _is_fsdp_managed_module, which was added in 2.0.0 for torch.compile: https://github.com/pytorch/pytorch/blob/v2.0.0/torch/distributed/fsdp/_dynamo_utils.py * Remove test file * ruff formatting * ruff format * Update copyright year Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Add test for FSDP-wrapped model generation Before #33483, these tests would have hung for 10 minutes before crashing due to a timeout error * Ruff format * Move argparse import * Remove barrier I think this might cause more problems if one of the workers was killed * Move import into function to decrease load time https://github.com/huggingface/transformers/pull/33483#discussion_r1787972735 * Add test for accelerate and Trainer https://github.com/huggingface/transformers/pull/33483#discussion_r1790309675 * Refactor imports * Ruff format * Use nullcontext --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| test_data_collator.py | ||
| test_trainer_callback.py | ||
| test_trainer_distributed.py | ||
| test_trainer_fsdp.py | ||
| test_trainer_seq2seq.py | ||
| test_trainer_tpu.py | ||
| test_trainer_utils.py | ||
| test_trainer.py | ||