mirror of
https://github.com/facebookresearch/fairseq.git
synced 2024-09-11 17:25:31 +03:00
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/1002 Pull Request resolved: https://github.com/pytorch/translate/pull/681 Pull Request resolved: https://github.com/pytorch/fairseq/pull/1524 Make fairseq MultiheadAttention scriptable. Looking for feedbacks. 1. Add types 2. Move incremental state management logic from util functions to initializers. TorchScript in general doesn't support global dict. As a result modules with multihead attention in it would assign itself fairseq_instance_id in the initializer. 3. There might be opportunities to make assertions and annotations cleaner. Reviewed By: myleott Differential Revision: D18772594 fbshipit-source-id: 377aef4bbb7ef51da5b6bac9a87a6f7b03b16fe1 |
||
---|---|---|
.. | ||
speech_recognition | ||
__init__.py | ||
test_average_checkpoints.py | ||
test_backtranslation_dataset.py | ||
test_binaries.py | ||
test_bmuf.py | ||
test_character_token_embedder.py | ||
test_concat_dataset.py | ||
test_convtbc.py | ||
test_dictionary.py | ||
test_export.py | ||
test_file_io.py | ||
test_iterators.py | ||
test_label_smoothing.py | ||
test_memory_efficient_fp16.py | ||
test_metrics.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 |