├── .gitignore ├── .gitmodules ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── docs ├── Makefile ├── _static │ └── theme_overrides.css ├── command_line_tools.rst ├── conf.py ├── criterions.rst ├── data.rst ├── docutils.conf ├── fairseq.gif ├── fairseq_logo.png ├── getting_started.rst ├── index.rst ├── lr_scheduler.rst ├── make.bat ├── models.rst ├── modules.rst ├── optim.rst ├── overview.rst ├── requirements.txt ├── tasks.rst ├── tutorial_classifying_names.rst └── tutorial_simple_lstm.rst ├── embeddingless_scripts ├── ar │ ├── bpe │ │ ├── run_ar_en_bpe_drop_02.sh │ │ ├── run_ar_en_bpe_drop_03.sh │ │ ├── run_en_ar_bpe_drop_02.sh │ │ └── run_en_ar_bpe_drop_03.sh │ ├── byte │ │ ├── run_ar_en_byte_drop_02.sh │ │ ├── run_ar_en_byte_drop_03.sh │ │ ├── run_en_ar_byte_drop_02.sh │ │ └── run_en_ar_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_ar_en_byte_embeddingless_drop_02.sh │ │ ├── run_ar_en_byte_embeddingless_drop_03.sh │ │ ├── run_en_ar_byte_embeddingless_drop_02.sh │ │ └── run_en_ar_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_ar_en_char_drop_02.sh │ │ ├── run_ar_en_char_drop_03.sh │ │ ├── run_en_ar_char_drop_02.sh │ │ └── run_en_ar_char_drop_03.sh │ └── prepare-ar-data.sh ├── avg_checkpoints.sh ├── bpe_preprocess.sh ├── byte_preprocess.sh ├── char_preprocess.sh ├── de │ ├── bpe │ │ ├── run_de_en_bpe_drop_02.sh │ │ ├── run_de_en_bpe_drop_03.sh │ │ ├── run_en_de_bpe_drop_02.sh │ │ └── run_en_de_bpe_drop_03.sh │ ├── byte │ │ ├── run_de_en_byte_drop_02.sh │ │ ├── run_de_en_byte_drop_03.sh │ │ ├── run_en_de_byte_drop_02.sh │ │ └── run_en_de_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_de_en_byte_embeddingless_drop_02.sh │ │ ├── run_de_en_byte_embeddingless_drop_03.sh │ │ ├── run_en_de_byte_embeddingless_drop_02.sh │ │ └── run_en_de_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_de_en_char_drop_02.sh │ │ ├── run_de_en_char_drop_03.sh │ │ ├── run_en_de_char_drop_02.sh │ │ └── run_en_de_char_drop_03.sh │ └── prepare-de-data.sh ├── es │ ├── bpe │ │ ├── run_en_es_bpe_drop_02.sh │ │ ├── run_en_es_bpe_drop_03.sh │ │ ├── run_es_en_bpe_drop_02.sh │ │ └── run_es_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_es_byte_drop_02.sh │ │ ├── run_en_es_byte_drop_03.sh │ │ ├── run_es_en_byte_drop_02.sh │ │ └── run_es_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_es_byte_embeddingless_drop_02.sh │ │ ├── run_en_es_byte_embeddingless_drop_03.sh │ │ ├── run_es_en_byte_embeddingless_drop_02.sh │ │ └── run_es_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_es_char_drop_02.sh │ │ ├── run_en_es_char_drop_03.sh │ │ ├── run_es_en_char_drop_02.sh │ │ └── run_es_en_char_drop_03.sh │ └── prepare-es-data.sh ├── evaluate.sh ├── fa │ ├── bpe │ │ ├── run_en_fa_bpe_drop_02.sh │ │ ├── run_en_fa_bpe_drop_03.sh │ │ ├── run_fa_en_bpe_drop_02.sh │ │ └── run_fa_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_fa_byte_drop_02.sh │ │ ├── run_en_fa_byte_drop_03.sh │ │ ├── run_fa_en_byte_drop_02.sh │ │ └── run_fa_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_fa_byte_embeddingless_drop_02.sh │ │ ├── run_en_fa_byte_embeddingless_drop_03.sh │ │ ├── run_fa_en_byte_embeddingless_drop_02.sh │ │ └── run_fa_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_fa_char_drop_02.sh │ │ ├── run_en_fa_char_drop_03.sh │ │ ├── run_fa_en_char_drop_02.sh │ │ └── run_fa_en_char_drop_03.sh │ └── prepare-fa-data.sh ├── he │ ├── bpe │ │ ├── run_en_he_bpe_drop_02.sh │ │ ├── run_en_he_bpe_drop_03.sh │ │ ├── run_he_en_bpe_drop_02.sh │ │ └── run_he_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_he_byte_drop_02.sh │ │ ├── run_en_he_byte_drop_03.sh │ │ ├── run_he_en_byte_drop_02.sh │ │ └── run_he_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_he_byte_embeddingless_drop_02.sh │ │ ├── run_en_he_byte_embeddingless_drop_03.sh │ │ ├── run_he_en_byte_embeddingless_drop_02.sh │ │ └── run_he_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_he_char_drop_02.sh │ │ ├── run_en_he_char_drop_03.sh │ │ ├── run_he_en_char_drop_02.sh │ │ └── run_he_en_char_drop_03.sh │ └── prepare-he-data.sh ├── ja │ ├── bpe │ │ ├── run_en_ja_bpe_drop_02.sh │ │ ├── run_en_ja_bpe_drop_03.sh │ │ ├── run_ja_en_bpe_drop_02.sh │ │ └── run_ja_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_ja_byte_drop_02.sh │ │ ├── run_en_ja_byte_drop_03.sh │ │ ├── run_ja_en_byte_drop_02.sh │ │ └── run_ja_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_ja_byte_embeddingless_drop_02.sh │ │ ├── run_en_ja_byte_embeddingless_drop_03.sh │ │ ├── run_ja_en_byte_embeddingless_drop_02.sh │ │ └── run_ja_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_ja_char_drop_02.sh │ │ ├── run_en_ja_char_drop_03.sh │ │ ├── run_ja_en_char_drop_02.sh │ │ └── run_ja_en_char_drop_03.sh │ └── prepare-ja-data.sh ├── prepare_and_process_data.sh ├── ru │ ├── bpe │ │ ├── run_en_ru_bpe_drop_02.sh │ │ ├── run_en_ru_bpe_drop_03.sh │ │ ├── run_ru_en_bpe_drop_02.sh │ │ └── run_ru_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_ru_byte_drop_02.sh │ │ ├── run_en_ru_byte_drop_03.sh │ │ ├── run_ru_en_byte_drop_02.sh │ │ └── run_ru_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_ru_byte_embeddingless_drop_02.sh │ │ ├── run_en_ru_byte_embeddingless_drop_03.sh │ │ ├── run_ru_en_byte_embeddingless_drop_02.sh │ │ └── run_ru_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_ru_char_drop_02.sh │ │ ├── run_en_ru_char_drop_03.sh │ │ ├── run_ru_en_char_drop_02.sh │ │ └── run_ru_en_char_drop_03.sh │ └── prepare-ru-data.sh ├── score.sh ├── tr │ ├── bpe │ │ ├── run_en_tr_bpe_drop_02.sh │ │ ├── run_en_tr_bpe_drop_03.sh │ │ ├── run_tr_en_bpe_drop_02.sh │ │ └── run_tr_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_tr_byte_drop_02.sh │ │ ├── run_en_tr_byte_drop_03.sh │ │ ├── run_tr_en_byte_drop_02.sh │ │ └── run_tr_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_tr_byte_embeddingless_drop_02.sh │ │ ├── run_en_tr_byte_embeddingless_drop_03.sh │ │ ├── run_tr_en_byte_embeddingless_drop_02.sh │ │ └── run_tr_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_tr_char_drop_02.sh │ │ ├── run_en_tr_char_drop_03.sh │ │ ├── run_tr_en_char_drop_02.sh │ │ └── run_tr_en_char_drop_03.sh │ └── prepare-tr-data.sh ├── train_bpe.sh ├── train_byte.sh ├── train_byte_embeddingless.sh ├── train_char.sh ├── vi │ ├── bpe │ │ ├── run_en_vi_bpe_drop_02.sh │ │ ├── run_en_vi_bpe_drop_03.sh │ │ ├── run_vi_en_bpe_drop_02.sh │ │ └── run_vi_en_bpe_drop_03.sh │ ├── byte │ │ ├── run_en_vi_byte_drop_02.sh │ │ ├── run_en_vi_byte_drop_03.sh │ │ ├── run_vi_en_byte_drop_02.sh │ │ └── run_vi_en_byte_drop_03.sh │ ├── byte_embeddingless │ │ ├── run_en_vi_byte_embeddingless_drop_02.sh │ │ ├── run_en_vi_byte_embeddingless_drop_03.sh │ │ ├── run_vi_en_byte_embeddingless_drop_02.sh │ │ └── run_vi_en_byte_embeddingless_drop_03.sh │ ├── char │ │ ├── run_en_vi_char_drop_02.sh │ │ ├── run_en_vi_char_drop_03.sh │ │ ├── run_vi_en_char_drop_02.sh │ │ └── run_vi_en_char_drop_03.sh │ └── prepare-vi-data.sh └── zh │ ├── bpe │ ├── run_en_zh_bpe_drop_02.sh │ ├── run_en_zh_bpe_drop_03.sh │ ├── run_zh_en_bpe_drop_02.sh │ └── run_zh_en_bpe_drop_03.sh │ ├── byte │ ├── run_en_zh_byte_drop_02.sh │ ├── run_en_zh_byte_drop_03.sh │ ├── run_zh_en_byte_drop_02.sh │ └── run_zh_en_byte_drop_03.sh │ ├── byte_embeddingless │ ├── run_en_zh_byte_embeddingless_drop_02.sh │ ├── run_en_zh_byte_embeddingless_drop_03.sh │ ├── run_zh_en_byte_embeddingless_drop_02.sh │ └── run_zh_en_byte_embeddingless_drop_03.sh │ ├── char │ ├── run_en_zh_char_drop_02.sh │ ├── run_en_zh_char_drop_03.sh │ ├── run_zh_en_char_drop_02.sh │ └── run_zh_en_char_drop_03.sh │ └── prepare-zh-data.sh ├── examples ├── .gitignore ├── __init__.py ├── backtranslation │ ├── README.md │ ├── deduplicate_lines.py │ ├── extract_bt_data.py │ ├── prepare-de-monolingual.sh │ ├── prepare-wmt18en2de.sh │ ├── sacrebleu.sh │ └── tokenized_bleu.sh ├── bart │ ├── README.glue.md │ ├── README.md │ └── README.summarization.md ├── byte_level_bpe │ ├── README.md │ ├── get_bitext.py │ ├── get_data.sh │ └── gru_transformer.py ├── camembert │ └── README.md ├── conv_seq2seq │ └── README.md ├── cross_lingual_language_model │ └── README.md ├── joint_alignment_translation │ ├── README.md │ └── prepare-wmt18en2de_no_norm_no_escape_no_agressive.sh ├── language_model │ ├── README.adaptive_inputs.md │ ├── README.conv.md │ ├── README.md │ └── prepare-wikitext-103.sh ├── layerdrop │ └── README.md ├── mbart │ └── README.md ├── megatron_11b │ ├── README.md │ └── detok.py ├── noisychannel │ ├── README.md │ ├── __init__.py │ ├── rerank.py │ ├── rerank_generate.py │ ├── rerank_options.py │ ├── rerank_score_bw.py │ ├── rerank_score_lm.py │ ├── rerank_tune.py │ └── rerank_utils.py ├── nonautoregressive_translation │ ├── README.md │ └── scripts.md ├── paraphraser │ ├── README.md │ └── paraphrase.py ├── pay_less_attention_paper │ └── README.md ├── quant_noise │ ├── README.md │ └── transformer_quantization_config.yaml ├── roberta │ ├── README.custom_classification.md │ ├── README.glue.md │ ├── README.md │ ├── README.pretraining.md │ ├── README.race.md │ ├── commonsense_qa │ │ ├── README.md │ │ ├── __init__.py │ │ ├── commonsense_qa_task.py │ │ └── download_cqa_data.sh │ ├── multiprocessing_bpe_encoder.py │ ├── preprocess_GLUE_tasks.sh │ ├── preprocess_RACE.py │ ├── preprocess_RACE.sh │ └── wsc │ │ ├── README.md │ │ ├── __init__.py │ │ ├── wsc_criterion.py │ │ ├── wsc_task.py │ │ └── wsc_utils.py ├── scaling_nmt │ └── README.md ├── simultaneous_translation │ ├── README.md │ ├── __init__.py │ ├── criterions │ │ ├── __init__.py │ │ └── label_smoothed_cross_entropy_latency_augmented.py │ ├── docs │ │ ├── baseline.md │ │ └── evaluation.md │ ├── eval │ │ ├── __init__.py │ │ ├── agents │ │ │ ├── __init__.py │ │ │ ├── agent.py │ │ │ ├── simul_trans_agent.py │ │ │ ├── simul_trans_text_agent.py │ │ │ └── word_splitter.py │ │ ├── client.py │ │ ├── eval_latency.py │ │ ├── evaluate.py │ │ ├── scorers │ │ │ ├── __init__.py │ │ │ ├── scorer.py │ │ │ └── text_scorer.py │ │ └── server.py │ ├── models │ │ ├── __init__.py │ │ └── transformer_monotonic_attention.py │ ├── modules │ │ ├── __init__.py │ │ ├── monotonic_multihead_attention.py │ │ └── monotonic_transformer_layer.py │ └── utils │ │ ├── __init__.py │ │ ├── functions.py │ │ └── latency.py ├── speech_recognition │ ├── README.md │ ├── __init__.py │ ├── criterions │ │ ├── ASG_loss.py │ │ ├── CTC_loss.py │ │ ├── __init__.py │ │ └── cross_entropy_acc.py │ ├── data │ │ ├── __init__.py │ │ ├── asr_dataset.py │ │ ├── collaters.py │ │ ├── data_utils.py │ │ └── replabels.py │ ├── datasets │ │ ├── asr_prep_json.py │ │ └── prepare-librispeech.sh │ ├── infer.py │ ├── models │ │ ├── __init__.py │ │ ├── vggtransformer.py │ │ └── w2l_conv_glu_enc.py │ ├── tasks │ │ ├── __init__.py │ │ └── speech_recognition.py │ ├── utils │ │ └── wer_utils.py │ └── w2l_decoder.py ├── stories │ └── README.md ├── translation │ ├── README.md │ ├── bpe.sh │ ├── clean_data.py │ ├── create_iwslt_data.sh │ ├── moses.sh │ ├── prepare-iwslt-raw.sh │ ├── prepare-iwslt14.sh │ ├── prepare-iwslt17-multilingual.sh │ ├── prepare-wmt14en2de.sh │ └── prepare-wmt14en2fr.sh ├── translation_moe │ ├── README.md │ ├── score.py │ └── src │ │ ├── __init__.py │ │ ├── logsumexp_moe.py │ │ ├── mean_pool_gating_network.py │ │ └── translation_moe.py ├── unsupervised_quality_estimation │ ├── README.md │ ├── aggregate_scores.py │ ├── meteor.py │ └── repeat_lines.py ├── wav2vec │ ├── README.md │ ├── vq-wav2vec_featurize.py │ ├── wav2vec_featurize.py │ └── wav2vec_manifest.py ├── wmt19 │ └── README.md └── xlmr │ └── README.md ├── fairseq ├── __init__.py ├── benchmark │ ├── __init__.py │ ├── dummy_lm.py │ ├── dummy_masked_lm.py │ ├── dummy_model.py │ └── dummy_mt.py ├── binarizer.py ├── bleu.py ├── checkpoint_utils.py ├── clib │ ├── libbleu │ │ ├── libbleu.cpp │ │ └── module.cpp │ ├── libnat │ │ └── edit_dist.cpp │ └── libnat_cuda │ │ ├── binding.cpp │ │ ├── edit_dist.cu │ │ └── edit_dist.h ├── criterions │ ├── __init__.py │ ├── adaptive_loss.py │ ├── binary_cross_entropy.py │ ├── composite_loss.py │ ├── cross_entropy.py │ ├── fairseq_criterion.py │ ├── label_smoothed_cross_entropy.py │ ├── label_smoothed_cross_entropy_with_alignment.py │ ├── legacy_masked_lm.py │ ├── masked_lm.py │ ├── nat_loss.py │ ├── sentence_prediction.py │ └── sentence_ranking.py ├── data │ ├── __init__.py │ ├── append_token_dataset.py │ ├── audio │ │ ├── __init__.py │ │ └── raw_audio_dataset.py │ ├── backtranslation_dataset.py │ ├── base_wrapper_dataset.py │ ├── bucket_pad_length_dataset.py │ ├── colorize_dataset.py │ ├── concat_dataset.py │ ├── concat_sentences_dataset.py │ ├── data_utils.py │ ├── data_utils_fast.pyx │ ├── denoising_dataset.py │ ├── dictionary.py │ ├── encoders │ │ ├── __init__.py │ │ ├── byte_bpe.py │ │ ├── byte_utils.py │ │ ├── bytes.py │ │ ├── characters.py │ │ ├── fastbpe.py │ │ ├── gpt2_bpe.py │ │ ├── gpt2_bpe_utils.py │ │ ├── hf_bert_bpe.py │ │ ├── hf_byte_bpe.py │ │ ├── moses_tokenizer.py │ │ ├── nltk_tokenizer.py │ │ ├── sentencepiece_bpe.py │ │ ├── space_tokenizer.py │ │ ├── subword_nmt_bpe.py │ │ └── utils.py │ ├── fairseq_dataset.py │ ├── id_dataset.py │ ├── indexed_dataset.py │ ├── iterators.py │ ├── language_pair_dataset.py │ ├── legacy │ │ ├── __init__.py │ │ ├── block_pair_dataset.py │ │ ├── masked_lm_dataset.py │ │ └── masked_lm_dictionary.py │ ├── list_dataset.py │ ├── lm_context_window_dataset.py │ ├── lru_cache_dataset.py │ ├── mask_tokens_dataset.py │ ├── monolingual_dataset.py │ ├── multi_corpus_dataset.py │ ├── multi_corpus_sampled_dataset.py │ ├── multilingual │ │ ├── __init__.py │ │ ├── multilingual_data_manager.py │ │ ├── sampled_multi_dataset.py │ │ ├── sampled_multi_epoch_dataset.py │ │ └── sampling_method.py │ ├── nested_dictionary_dataset.py │ ├── noising.py │ ├── num_samples_dataset.py │ ├── numel_dataset.py │ ├── offset_tokens_dataset.py │ ├── pad_dataset.py │ ├── plasma_utils.py │ ├── prepend_dataset.py │ ├── prepend_token_dataset.py │ ├── raw_label_dataset.py │ ├── replace_dataset.py │ ├── resampling_dataset.py │ ├── roll_dataset.py │ ├── round_robin_zip_datasets.py │ ├── shorten_dataset.py │ ├── sort_dataset.py │ ├── strip_token_dataset.py │ ├── subsample_dataset.py │ ├── token_block_dataset.py │ ├── token_block_utils_fast.pyx │ ├── transform_eos_dataset.py │ └── transform_eos_lang_pair_dataset.py ├── distributed_utils.py ├── file_io.py ├── file_utils.py ├── hub_utils.py ├── incremental_decoding_utils.py ├── iterative_refinement_generator.py ├── legacy_distributed_data_parallel.py ├── logging │ ├── __init__.py │ ├── meters.py │ ├── metrics.py │ └── progress_bar.py ├── model_parallel │ ├── __init__.py │ ├── criterions │ │ ├── __init__.py │ │ └── vocab_parallel_cross_entropy.py │ ├── megatron_trainer.py │ ├── models │ │ ├── __init__.py │ │ ├── roberta │ │ │ ├── __init__.py │ │ │ └── model.py │ │ ├── transformer.py │ │ └── transformer_lm.py │ └── modules │ │ ├── __init__.py │ │ ├── multihead_attention.py │ │ ├── transformer_layer.py │ │ ├── transformer_sentence_encoder.py │ │ └── transformer_sentence_encoder_layer.py ├── models │ ├── __init__.py │ ├── bart │ │ ├── __init__.py │ │ ├── hub_interface.py │ │ └── model.py │ ├── composite_encoder.py │ ├── distributed_fairseq_model.py │ ├── fairseq_decoder.py │ ├── fairseq_encoder.py │ ├── fairseq_incremental_decoder.py │ ├── fairseq_model.py │ ├── fconv.py │ ├── fconv_lm.py │ ├── fconv_self_att.py │ ├── huggingface │ │ ├── __init__.py │ │ └── hf_gpt2.py │ ├── lightconv.py │ ├── lightconv_lm.py │ ├── lstm.py │ ├── lstm_lm.py │ ├── masked_lm.py │ ├── model_utils.py │ ├── multilingual_transformer.py │ ├── nat │ │ ├── __init__.py │ │ ├── cmlm_transformer.py │ │ ├── fairseq_nat_model.py │ │ ├── insertion_transformer.py │ │ ├── iterative_nonautoregressive_transformer.py │ │ ├── levenshtein_transformer.py │ │ ├── levenshtein_utils.py │ │ ├── nat_crf_transformer.py │ │ ├── nonautoregressive_ensembles.py │ │ └── nonautoregressive_transformer.py │ ├── roberta │ │ ├── __init__.py │ │ ├── alignment_utils.py │ │ ├── hub_interface.py │ │ ├── model.py │ │ ├── model_camembert.py │ │ └── model_xlmr.py │ ├── transformer.py │ ├── transformer_align.py │ ├── transformer_from_pretrained_xlm.py │ ├── transformer_lm.py │ └── wav2vec.py ├── modules │ ├── __init__.py │ ├── adaptive_input.py │ ├── adaptive_softmax.py │ ├── beamable_mm.py │ ├── character_token_embedder.py │ ├── conv_tbc.py │ ├── cross_entropy.py │ ├── cuda_utils.cu │ ├── downsampled_multihead_attention.py │ ├── dynamic_convolution.py │ ├── dynamic_crf_layer.py │ ├── dynamicconv_layer │ │ ├── __init__.py │ │ ├── cuda_function_gen.py │ │ ├── dynamicconv_cuda.cpp │ │ ├── dynamicconv_cuda.cuh │ │ ├── dynamicconv_cuda_kernel.cu │ │ ├── dynamicconv_layer.py │ │ ├── dynamiconv_cpu.cpp │ │ └── setup.py │ ├── fairseq_dropout.py │ ├── fp32_group_norm.py │ ├── gelu.py │ ├── grad_multiply.py │ ├── gumbel_vector_quantizer.py │ ├── kmeans_vector_quantizer.py │ ├── layer_drop.py │ ├── layer_norm.py │ ├── learned_positional_embedding.py │ ├── lightconv_layer │ │ ├── __init__.py │ │ ├── cuda_function_gen.py │ │ ├── lightconv_cuda.cpp │ │ ├── lightconv_cuda.cuh │ │ ├── lightconv_cuda_kernel.cu │ │ ├── lightconv_layer.py │ │ └── setup.py │ ├── lightweight_convolution.py │ ├── linearized_convolution.py │ ├── multihead_attention.py │ ├── positional_embedding.py │ ├── quant_noise.py │ ├── quantization │ │ ├── __init__.py │ │ ├── pq │ │ │ ├── __init__.py │ │ │ ├── em.py │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ ├── qconv.py │ │ │ │ ├── qemb.py │ │ │ │ └── qlinear.py │ │ │ ├── pq.py │ │ │ └── utils.py │ │ ├── quantization_options.py │ │ └── scalar │ │ │ ├── __init__.py │ │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── qact.py │ │ │ ├── qconv.py │ │ │ ├── qemb.py │ │ │ └── qlinear.py │ │ │ ├── ops.py │ │ │ └── utils.py │ ├── scalar_bias.py │ ├── sinusoidal_positional_embedding.py │ ├── sparse_multihead_attention.py │ ├── sparse_transformer_sentence_encoder.py │ ├── sparse_transformer_sentence_encoder_layer.py │ ├── transformer_layer.py │ ├── transformer_sentence_encoder.py │ ├── transformer_sentence_encoder_layer.py │ ├── unfold.py │ └── vggblock.py ├── nan_detector.py ├── optim │ ├── __init__.py │ ├── adadelta.py │ ├── adafactor.py │ ├── adagrad.py │ ├── adam.py │ ├── adamax.py │ ├── bmuf.py │ ├── fairseq_optimizer.py │ ├── fp16_optimizer.py │ ├── fused_adam.py │ ├── fused_lamb.py │ ├── lr_scheduler │ │ ├── __init__.py │ │ ├── cosine_lr_scheduler.py │ │ ├── fairseq_lr_scheduler.py │ │ ├── fixed_schedule.py │ │ ├── inverse_square_root_schedule.py │ │ ├── polynomial_decay_schedule.py │ │ ├── reduce_lr_on_plateau.py │ │ ├── tri_stage_lr_scheduler.py │ │ └── triangular_lr_scheduler.py │ ├── nag.py │ └── sgd.py ├── options.py ├── pdb.py ├── quantization_utils.py ├── registry.py ├── search.py ├── sequence_generator.py ├── sequence_scorer.py ├── tasks │ ├── __init__.py │ ├── audio_pretraining.py │ ├── cross_lingual_lm.py │ ├── denoising.py │ ├── fairseq_task.py │ ├── language_modeling.py │ ├── legacy_masked_lm.py │ ├── masked_lm.py │ ├── multilingual_denoising.py │ ├── multilingual_masked_lm.py │ ├── multilingual_translation.py │ ├── semisupervised_translation.py │ ├── sentence_prediction.py │ ├── sentence_ranking.py │ ├── translation.py │ ├── translation_from_pretrained_bart.py │ ├── translation_from_pretrained_xlm.py │ ├── translation_lev.py │ └── translation_multi_simple_epoch.py ├── tokenizer.py ├── trainer.py └── utils.py ├── fairseq_cli ├── __init__.py ├── eval_lm.py ├── generate.py ├── interactive.py ├── preprocess.py ├── score.py ├── train.py └── validate.py ├── hubconf.py ├── pyproject.toml ├── scripts ├── __init__.py ├── average_checkpoints.py ├── build_sym_alignment.py ├── compare_namespaces.py ├── compound_split_bleu.sh ├── convert_dictionary.lua ├── convert_model.lua ├── count_docs.py ├── read_binarized.py ├── rm_pt.py ├── sacrebleu.sh 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