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Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/1667 Add support for FullyShardedDataParallel (--ddp-backend=fully_sharded) This enables fully parameter + optimizer state sharding by using FullyShardedDataParallel (FSDP) from fairscale. The user just needs to provide `--ddp-backend=fully_sharded` to enable. Other common options work out-of-the-box (e.g., `--fp16`, `--memory-efficient-fp16`, `--update-freq`, etc.). This should be a drop-in replacement for the "c10d" backend. This yields pretty big speedups for small models and enables training ~13B parameter models on 8 GPUs and 175B parameter models on 128 GPUs, without model parallelism. This also adds a new option `--cpu-offload` that offloads the optimizer state and FP32 model copy to CPU, which is particularly useful when combined with `--optimizer=cpu_adam`. Note: after enabling this, each GPU will save a checkpoint file, since the optimizer state is sharded. Each checkpoint will contain a single shard of the optimizer state and the rank 0 checkpoint will contain the full model weights. Note: a known limitation of the current implementation is that you cannot resume training on a different world_size. This constraint will be relaxed in future iterations. Test Plan: Imported from OSS Reviewed By: sshleifer Differential Revision: D26771144 Pulled By: myleott fbshipit-source-id: 74c2f46f57719e24e2dcfc9d9ee7c2fc0aeedb46 |
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| .. | ||
| distributed | ||
| gpu | ||
| speech_recognition | ||
| __init__.py | ||
| test_activation_checkpointing.py | ||
| test_average_checkpoints.py | ||
| test_backtranslation_dataset.py | ||
| test_binaries.py | ||
| test_character_token_embedder.py | ||
| test_checkpoint_utils.py | ||
| test_concat_dataset.py | ||
| test_constraints.py | ||
| test_convtbc.py | ||
| test_data_utils.py | ||
| test_dataset.py | ||
| test_dictionary.py | ||
| test_export.py | ||
| test_file_io.py | ||
| test_fp16_optimizer.py | ||
| test_inference_dropout.py | ||
| test_iopath.py | ||
| test_iterators.py | ||
| test_label_smoothing.py | ||
| test_lm_context_window.py | ||
| test_lstm_jitable.py | ||
| test_memory_efficient_fp16.py | ||
| test_metrics.py | ||
| test_multi_corpus_dataset.py | ||
| test_multi_corpus_sampled_dataset.py | ||
| test_multihead_attention.py | ||
| test_noising.py | ||
| test_reproducibility.py | ||
| test_resampling_dataset.py | ||
| test_sequence_generator.py | ||
| test_sequence_scorer.py | ||
| test_sparse_multihead_attention.py | ||
| test_token_block_dataset.py | ||
| test_train.py | ||
| test_utils.py | ||
| utils.py | ||