├── .circleci └── config.yml ├── .github ├── CODEOWNERS ├── ISSUE_TEMPLATE.md ├── ISSUE_TEMPLATE │ ├── bug_report.md │ ├── documentation.md │ ├── feature_request.md │ └── how-to-question.md ├── PULL_REQUEST_TEMPLATE.md ├── stale.yml └── workflows │ ├── build.yml │ └── release.yml ├── .gitignore ├── .gitmodules ├── .pre-commit-config.yaml ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── MANIFEST.in ├── README.md ├── README_fairseq.md ├── RELEASE.md ├── docs ├── Makefile ├── command_line_tools.rst ├── conf.py ├── criterions.rst ├── data.rst ├── docutils.conf ├── fairseq.gif ├── fairseq_logo.png ├── getting_started.rst ├── hydra_integration.md ├── index.rst ├── lr_scheduler.rst ├── make.bat ├── models.rst ├── modules.rst ├── optim.rst ├── overview.rst ├── tasks.rst ├── tutorial_classifying_names.rst └── tutorial_simple_lstm.rst ├── espresso ├── __init__.py ├── criterions │ ├── __init__.py │ ├── cross_entropy_v2.py │ ├── ctc_loss.py │ ├── label_smoothed_cross_entropy_v2.py │ ├── lf_mmi_loss.py │ ├── subsampled_cross_entropy_with_accuracy.py │ └── transducer_loss.py ├── data │ ├── __init__.py │ ├── asr_bucket_pad_length_dataset.py │ ├── asr_chain_dataset.py │ ├── asr_dataset.py │ ├── asr_dictionary.py │ ├── asr_xent_dataset.py │ ├── encoders │ │ ├── __init__.py │ │ └── characters_asr.py │ ├── feat_text_dataset.py │ └── feature_transforms │ │ ├── __init__.py │ │ └── adaptive_specaugment.py ├── dump_posteriors.py ├── espresso_logo.png ├── models │ ├── __init__.py │ ├── external_language_model.py │ ├── lstm_lm.py │ ├── speech_lstm.py │ ├── speech_lstm_encoder_model.py │ ├── speech_tdnn.py │ ├── tensorized_lookahead_language_model.py │ └── transformer │ │ ├── __init__.py │ │ ├── speech_transformer_base.py │ │ ├── speech_transformer_config.py │ │ ├── speech_transformer_decoder.py │ │ ├── speech_transformer_encoder.py │ │ ├── speech_transformer_encoder_model.py │ │ ├── speech_transformer_legacy.py │ │ ├── speech_transformer_transducer_base.py │ │ └── speech_transformer_transducer_config.py ├── modules │ ├── __init__.py │ ├── conformer_with_relative_positional_embedding_encoder_layer.py │ ├── learned_relative_positional_embedding.py │ ├── relative_positional_embedding.py │ ├── sinusoidal_relative_positional_embedding.py │ ├── speech_attention.py │ ├── speech_convolutions.py │ └── transformer_with_relative_positional_embedding_layer.py ├── optim │ ├── __init__.py │ └── lr_scheduler │ │ ├── __init__.py │ │ ├── noam_lr_scheduler.py │ │ ├── polynomial_decay_schedule.py │ │ └── reduce_lr_on_plateau_v2.py ├── speech_recognize.py ├── tasks │ ├── __init__.py │ ├── language_modeling_for_asr.py │ ├── speech_recognition.py │ └── speech_recognition_hybrid.py └── tools │ ├── .gitignore │ ├── Makefile │ ├── __init__.py │ ├── asr_prep_json.py │ ├── compute_global_cmvn_stats.py │ ├── compute_wer.py │ ├── ctc_decoder.py │ ├── dump.sh │ ├── estimate_initial_state_prior_from_alignments.py │ ├── generate_log_probs_for_decoding.py │ ├── lexical_prefix_tree.py │ ├── scheduled_sampling_rate_scheduler.py │ ├── simple_greedy_decoder.py │ ├── specaug_interpolate.py │ ├── tensorized_prefix_tree.py │ ├── text2token.py │ ├── text2vocabulary.py │ ├── transducer_base_decoder.py │ ├── transducer_beam_search_decoder.py │ ├── transducer_greedy_decoder.py │ ├── transducer_utils.py │ ├── utils.py │ ├── wav2num_frames.py │ └── wer.py ├── examples ├── .gitignore ├── MMPT │ ├── .gitignore │ ├── CONFIG.md │ ├── DATASET.md │ ├── README.md │ ├── endtask.md │ ├── locallaunch.py │ ├── mmpt │ │ ├── __init__.py │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ ├── fairseqmmdataset.py │ │ │ └── mmdataset.py │ │ ├── evaluators │ │ │ ├── __init__.py │ │ │ ├── evaluator.py │ │ │ ├── metric.py │ │ │ └── predictor.py │ │ ├── losses │ │ │ ├── __init__.py │ │ │ ├── fairseqmmloss.py │ │ │ ├── loss.py │ │ │ └── nce.py │ │ ├── models │ │ │ ├── __init__.py │ │ │ ├── fairseqmmmodel.py │ │ │ ├── mmfusion.py │ │ │ ├── mmfusionnlg.py │ │ │ └── transformermodel.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── mm.py │ │ │ ├── retri.py │ │ │ └── vectorpool.py │ │ ├── processors │ │ │ ├── __init__.py │ │ │ ├── dedupprocessor.py │ │ │ ├── dsprocessor.py │ │ │ ├── how2processor.py │ │ │ ├── how2retriprocessor.py │ │ │ ├── models │ │ │ │ └── s3dg.py │ │ │ └── processor.py │ │ ├── tasks │ │ │ ├── __init__.py │ │ │ ├── fairseqmmtask.py │ │ │ ├── milncetask.py │ │ │ ├── retritask.py │ │ │ ├── task.py │ │ │ └── vlmtask.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── load_config.py │ │ │ └── shardedtensor.py │ ├── mmpt_cli │ │ ├── localjob.py │ │ └── predict.py │ ├── pretraining.md │ ├── projects │ │ ├── mfmmlm.yaml │ │ ├── mtm │ │ │ ├── mmfusionmtm.yaml │ │ │ ├── vlm.yaml │ │ │ └── vlm │ │ │ │ ├── coin.yaml │ │ │ │ ├── crosstask.yaml │ │ │ │ ├── how2.yaml │ │ │ │ ├── test_coin.yaml │ │ │ │ ├── test_crosstask.yaml │ │ │ │ ├── test_crosstask_zs.yaml │ │ │ │ ├── test_vtt.yaml │ │ │ │ ├── test_vttqa.yaml │ │ │ │ ├── test_youcook.yaml │ │ │ │ ├── test_youcookcap.yaml │ │ │ │ ├── vtt.yaml │ │ │ │ ├── vttqa.yaml │ │ │ │ ├── youcook.yaml │ │ │ │ └── youcookcap.yaml │ │ ├── retri │ │ │ ├── videoclip.yaml │ │ │ ├── videoclip │ │ │ │ ├── coin_videoclip.yaml │ │ │ │ ├── crosstask_videoclip.yaml │ │ │ │ ├── how2.yaml │ │ │ │ ├── test_coin_videoclip.yaml │ │ │ │ ├── test_coin_zs.yaml │ │ │ │ ├── test_crosstask_videoclip.yaml │ │ │ │ ├── test_crosstask_zs_videoclip.yaml │ │ │ │ ├── test_didemo_zs.yaml │ │ │ │ ├── test_vtt_videoclip.yaml │ │ │ │ ├── test_vtt_zs.yaml │ │ │ │ ├── test_vttqa_videoclip.yaml │ │ │ │ ├── test_vttqa_zs.yaml │ │ │ │ ├── test_youcook_videoclip.yaml │ │ │ │ ├── test_youcook_zs.yaml │ │ │ │ ├── vtt_videoclip.yaml │ │ │ │ ├── vttqa_videoclip.yaml │ │ │ │ └── youcook_videoclip.yaml │ │ │ └── videoretri.yaml │ │ └── task │ │ │ ├── coin.yaml │ │ │ ├── coin_videoclip.yaml │ │ │ ├── crosstask.yaml │ │ │ ├── crosstask_videoclip.yaml │ │ │ ├── default.yaml │ │ │ ├── ft.yaml │ │ │ ├── how2.yaml │ │ │ ├── test.yaml │ │ │ ├── test_coin.yaml │ │ │ ├── test_coin_videoclip.yaml │ │ │ ├── test_coin_zs.yaml │ │ │ ├── test_crosstask.yaml │ │ │ ├── test_crosstask_videoclip.yaml │ │ │ ├── test_crosstask_zs.yaml │ │ │ ├── test_crosstask_zs_videoclip.yaml │ │ │ ├── test_didemo_zs.yaml │ │ │ ├── test_vtt.yaml │ │ │ ├── test_vtt_videoclip.yaml │ │ │ ├── test_vtt_zs.yaml │ │ │ ├── test_vttqa.yaml │ │ │ ├── test_vttqa_videoclip.yaml │ │ │ ├── test_vttqa_zs.yaml │ │ │ ├── test_youcook.yaml │ │ │ ├── test_youcook_videoclip.yaml │ │ │ ├── test_youcook_zs.yaml │ │ │ ├── test_youcookcap.yaml │ │ │ ├── vtt.yaml │ │ │ ├── vtt_videoclip.yaml │ │ │ ├── vttqa.yaml │ │ │ ├── vttqa_videoclip.yaml │ │ │ ├── youcook.yaml │ │ │ ├── youcook_videoclip.yaml │ │ │ └── youcookcap.yaml │ ├── scripts │ │ ├── text_token_extractor │ │ │ ├── configs │ │ │ │ └── bert-base-uncased.yaml │ │ │ └── pretokenization.py │ │ └── video_feature_extractor │ │ │ ├── extract.py │ │ │ ├── how2 │ │ │ └── s3d.sh │ │ │ ├── model.py │ │ │ ├── pathbuilder.py │ │ │ ├── preprocessing.py │ │ │ ├── random_sequence_shuffler.py │ │ │ ├── shard_feature.py │ │ │ └── videoreader.py │ ├── setup.py │ ├── videoclip.png │ └── vlm.png ├── __init__.py ├── adaptive_span │ ├── README.md │ ├── __init__.py │ ├── adagrad_with_grad_clip.py │ ├── adaptive_span_attention.py │ ├── adaptive_span_loss.py │ ├── adaptive_span_model.py │ ├── adaptive_span_model_wrapper.py │ └── truncated_bptt_lm_task.py ├── asr_librispeech │ ├── cmd.sh │ ├── conf │ │ ├── fbank.conf │ │ ├── gpu.conf │ │ └── pitch.conf │ ├── config │ │ ├── conformer_librispeech.yaml │ │ ├── conformer_transducer_librispeech.yaml │ │ ├── lstm_librispeech.yaml │ │ ├── lstm_librispeech_specaug.yaml │ │ ├── lstm_lm_librispeech.yaml │ │ ├── transformer_ctc_librispeech.yaml │ │ ├── transformer_librispeech.yaml │ │ ├── transformer_librispeech_specaug.yaml │ │ └── transformer_transducer_librispeech.yaml │ ├── local │ │ ├── data_prep.sh │ │ ├── download_and_untar.sh │ │ ├── prepare_librispeech.py │ │ └── score_e2e.sh │ ├── path.sh │ ├── run.sh │ ├── run_torchaudio.sh │ ├── run_transformer_transducer.sh │ ├── steps │ └── utils ├── asr_swbd │ ├── cmd.sh │ ├── conf │ │ ├── fbank.conf │ │ ├── gpu.conf │ │ └── pitch.conf │ ├── local │ │ ├── MSU_single_letter.txt │ │ ├── dict.patch │ │ ├── eval2000_data_prep.sh │ │ ├── extend_segments.pl │ │ ├── fisher_map_words.pl │ │ ├── format_acronyms_dict.py │ │ ├── map_acronyms_ctm.py │ │ ├── map_acronyms_transcripts.py │ │ ├── prepare_ctm.py │ │ ├── rt03_data_prep.sh │ │ ├── score_basic_e2e.sh │ │ ├── score_e2e.sh │ │ ├── score_sclite_e2e.sh │ │ ├── swbd1_data_download.sh │ │ ├── swbd1_data_prep.sh │ │ ├── swbd1_fix_speakerid.pl │ │ ├── swbd1_map_words.pl │ │ ├── swbd1_prepare_dict.sh │ │ └── wer_output_filter │ ├── path.sh │ ├── run.sh │ ├── steps │ └── utils ├── asr_wsj │ ├── cmd.sh │ ├── conf │ │ ├── fbank.conf │ │ ├── gpu.conf │ │ ├── mfcc_hires.conf │ │ └── pitch.conf │ ├── local │ │ ├── common_data_prep.sh │ │ ├── data_prep_char.sh │ │ ├── find_transcripts.pl │ │ ├── flist2scp.pl │ │ ├── ndx2flist.pl │ │ ├── normalize_transcript.pl │ │ ├── score.sh │ │ ├── score_e2e.sh │ │ ├── wer_output_filter │ │ ├── wsj_data_prep.sh │ │ ├── wsj_extend_char_dict.sh │ │ ├── wsj_extend_dict.sh │ │ ├── wsj_format_data.sh │ │ ├── wsj_format_local_lms.sh │ │ ├── wsj_prepare_char_dict.sh │ │ ├── wsj_prepare_dict.sh │ │ └── wsj_train_lms.sh │ ├── path.sh │ ├── run.sh │ ├── run_chain_e2e.sh │ ├── run_chain_e2e_bichar.sh │ ├── run_xent.sh │ ├── steps │ └── utils ├── attention_head_selection │ ├── README.md │ └── src │ │ ├── __init__.py │ │ ├── data │ │ ├── __init__.py │ │ └── speech_to_text_dataset_with_domain.py │ │ ├── loss │ │ ├── __init__.py │ │ └── attention_head_selection.py │ │ ├── models │ │ ├── __init__.py │ │ ├── head_selection_s2t_transformer.py │ │ └── head_selection_transformer.py │ │ ├── modules │ │ ├── __init__.py │ │ ├── attn_head_selector.py │ │ ├── head_selection_transformer_layer.py │ │ ├── multihead_attention_selection.py │ │ └── multihead_functional.py │ │ └── speech_to_text_head_selection.py ├── audio_nlp │ └── nlu │ │ ├── README.md │ │ ├── configs │ │ └── nlu_finetuning.yaml │ │ └── create_dict_stop.sh ├── 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 │ └── summarize.py ├── byte_level_bpe │ ├── README.md │ ├── get_bitext.py │ ├── get_data.sh │ └── gru_transformer.py ├── camembert │ └── README.md ├── constrained_decoding │ ├── README.md │ ├── normalize.py │ └── tok.py ├── conv_seq2seq │ └── README.md ├── criss │ ├── README.md │ ├── download_and_preprocess_flores_test.sh │ ├── download_and_preprocess_tatoeba.sh │ ├── mining │ │ ├── mine.py │ │ └── mine_example.sh │ ├── save_encoder.py │ ├── sentence_retrieval │ │ ├── encoder_analysis.py │ │ └── sentence_retrieval_tatoeba.sh │ └── unsupervised_mt │ │ └── eval.sh ├── cross_lingual_language_model │ └── README.md ├── data2vec │ ├── README.md │ ├── config │ │ ├── audio │ │ │ └── pretraining │ │ │ │ └── base_librispeech.yaml │ │ └── text │ │ │ └── pretraining │ │ │ └── base.yaml │ └── models │ │ ├── data2vec_audio.py │ │ └── data2vec_text.py ├── discriminative_reranking_nmt │ ├── README.md │ ├── __init__.py │ ├── config │ │ └── deen.yaml │ ├── criterions │ │ ├── __init__.py │ │ └── discriminative_reranking_criterion.py │ ├── drnmt_rerank.py │ ├── models │ │ ├── __init__.py │ │ └── discriminative_reranking_model.py │ ├── scripts │ │ └── prep_data.py │ └── tasks │ │ ├── __init__.py │ │ └── discriminative_reranking_task.py ├── fast_noisy_channel │ ├── README.md │ ├── __init__.py │ ├── noisy_channel_beam_search.py │ ├── noisy_channel_sequence_generator.py │ └── noisy_channel_translation.py ├── flores101 │ ├── README.md │ └── flores_logo.png ├── fully_sharded_data_parallel │ └── README.md ├── gottbert │ └── README.md ├── hubert │ ├── README.md │ ├── config │ │ ├── decode │ │ │ ├── ax_sweep │ │ │ │ ├── ngram.yaml │ │ │ │ └── transformer.yaml │ │ │ ├── infer_fsqlm.yaml │ │ │ ├── infer_kenlm.yaml │ │ │ ├── infer_viterbi.yaml │ │ │ └── run │ │ │ │ ├── submitit_slurm.yaml │ │ │ │ └── submitit_slurm_8gpu.yaml │ │ ├── finetune │ │ │ ├── base_10h.yaml │ │ │ ├── ckpt │ │ │ │ └── it1.yaml │ │ │ ├── lm │ │ │ │ └── ls_4gram.yaml │ │ │ └── run │ │ │ │ └── submitit_reg.yaml │ │ └── pretrain │ │ │ ├── data │ │ │ ├── iter1.yaml │ │ │ └── iter2.yaml │ │ │ ├── hubert_base_librispeech.yaml │ │ │ ├── hubert_large_librivox.yaml │ │ │ ├── hubert_xlarge_librivox.yaml │ │ │ └── run │ │ │ └── submitit_reg.yaml │ ├── measure_teacher_quality.py │ ├── simple_kmeans │ │ ├── README.md │ │ ├── dump_hubert_feature.py │ │ ├── dump_hubert_feature_s2t.py │ │ ├── dump_km_label.py │ │ ├── dump_mfcc_feature.py │ │ ├── dump_w2v2_feature.py │ │ ├── feature_utils.py │ │ └── learn_kmeans.py │ ├── tests │ │ ├── 6313-76958-0021.flac │ │ ├── sample.base.L9.km500.km │ │ ├── sample.base.L9.len │ │ ├── sample.base.L9.npy │ │ ├── sample.large.L20.len │ │ ├── sample.large.L20.npy │ │ ├── sample.large.hypo.word │ │ ├── sample.xlarge.L30.len │ │ ├── sample.xlarge.L30.npy │ │ ├── sample.xlarge.hypo.word │ │ ├── test_feature_and_unit.sh │ │ └── test_finetuned_asr.sh │ └── update_ckpt.py ├── 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 ├── laser │ ├── README.md │ └── laser_src │ │ ├── __init__.py │ │ ├── laser_lstm.py │ │ ├── laser_task.py │ │ ├── laser_transformer.py │ │ └── multitask_data_utils.py ├── latent_depth │ ├── README.md │ └── latent_depth_src │ │ ├── __init__.py │ │ ├── loss │ │ ├── __init__.py │ │ └── latent_depth.py │ │ ├── models │ │ ├── __init__.py │ │ ├── latent_multilingual_transformer.py │ │ └── latent_transformer.py │ │ ├── modules │ │ ├── __init__.py │ │ └── latent_layers.py │ │ └── multilingual_translation_latent_depth.py ├── layerdrop │ └── README.md ├── linformer │ ├── README.md │ └── linformer_src │ │ ├── __init__.py │ │ ├── models │ │ ├── __init__.py │ │ └── linformer_roberta.py │ │ └── modules │ │ ├── __init__.py │ │ ├── linformer_sentence_encoder.py │ │ ├── linformer_sentence_encoder_layer.py │ │ └── multihead_linear_attention.py ├── m2m_100 │ ├── README.md │ ├── install_dependecies.sh │ ├── process_data │ │ ├── clean_histogram.py │ │ ├── dedup_data.py │ │ └── remove_too_much_punc.py │ ├── tok.sh │ └── tokenizers │ │ ├── README.md │ │ ├── seg_ja.sh │ │ ├── seg_ko.sh │ │ ├── thirdparty │ │ └── .gitignore │ │ ├── tokenize_indic.py │ │ ├── tokenize_thai.py │ │ ├── tokenize_zh.py │ │ └── tokenizer_ar.sh ├── mbart │ └── README.md ├── megatron_11b │ ├── README.md │ └── detok.py ├── moe_lm │ ├── README.md │ ├── data_card.md │ └── model_card.md ├── multilingual │ ├── ML50_langs.txt │ ├── README.md │ ├── data_scripts │ │ ├── README.md │ │ ├── binarize.py │ │ ├── check_iswlt_test_data.py │ │ ├── check_self_overlaps.py │ │ ├── check_valid_test_overlaps.py │ │ ├── dedup_all.py │ │ ├── download_ML50_v1.sh │ │ ├── download_af_xh.sh │ │ ├── download_flores_data.sh │ │ ├── download_iitb.sh │ │ ├── download_iwslt_and_extract.sh │ │ ├── download_lotus.sh │ │ ├── download_ted_and_extract.py │ │ ├── download_wat19_my.sh │ │ ├── download_wmt19_and_before.py │ │ ├── download_wmt20.sh │ │ ├── preprocess_ML50_v1.sh │ │ ├── remove_valid_test_in_train.py │ │ ├── requirement.txt │ │ └── utils │ │ │ ├── dedup.py │ │ │ ├── fasttext_multi_filter.py │ │ │ └── strip_sgm.sh │ ├── finetune_multilingual_model.sh │ ├── multilingual_fairseq_gen.sh │ └── train_multilingual_model.sh ├── 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 ├── normformer │ ├── README.md │ └── train_lm.sh ├── operators │ ├── alignment_train_cpu.cpp │ ├── alignment_train_cuda.cpp │ ├── alignment_train_cuda.h │ ├── alignment_train_kernel.cu │ └── utils.h ├── paraphraser │ ├── README.md │ └── paraphrase.py ├── pay_less_attention_paper │ └── README.md ├── pointer_generator │ ├── README.md │ ├── README.xsum.md │ ├── pointer_generator_src │ │ ├── __init__.py │ │ └── transformer_pg.py │ ├── postprocess.py │ └── preprocess.py ├── 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 │ ├── config │ │ ├── finetuning │ │ │ ├── cola.yaml │ │ │ ├── mnli.yaml │ │ │ ├── mrpc.yaml │ │ │ ├── qnli.yaml │ │ │ ├── qqp.yaml │ │ │ ├── rte.yaml │ │ │ ├── sst_2.yaml │ │ │ └── sts_b.yaml │ │ └── pretraining │ │ │ └── base.yaml │ ├── 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 ├── rxf │ ├── README.md │ ├── __init__.py │ └── rxf_src │ │ ├── __init__.py │ │ ├── label_smoothed_cross_entropy_r3f.py │ │ └── sentence_prediction_r3f.py ├── scaling_nmt │ └── README.md ├── shuffled_word_order │ ├── README.finetuning.md │ └── README.md ├── simultaneous_translation │ ├── README.md │ ├── __init__.py │ ├── docs │ │ ├── ende-mma.md │ │ └── enja-waitk.md │ ├── eval │ │ └── agents │ │ │ └── simul_t2t_enja.py │ ├── models │ │ ├── __init__.py │ │ ├── convtransformer_simul_trans.py │ │ └── transformer_monotonic_attention.py │ ├── modules │ │ ├── __init__.py │ │ ├── fixed_pre_decision.py │ │ ├── monotonic_multihead_attention.py │ │ └── monotonic_transformer_layer.py │ ├── tests │ │ ├── test_alignment_train.py │ │ └── test_text_models.py │ └── utils │ │ ├── __init__.py │ │ ├── functions.py │ │ ├── monotonic_attention.py │ │ └── p_choose_strategy.py ├── speech_recognition │ ├── README.md │ ├── __init__.py │ ├── criterions │ │ ├── ASG_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 │ ├── kaldi │ │ ├── __init__.py │ │ ├── add-self-loop-simple.cc │ │ ├── config │ │ │ └── kaldi_initializer.yaml │ │ ├── kaldi_decoder.py │ │ └── kaldi_initializer.py │ ├── models │ │ ├── __init__.py │ │ ├── vggtransformer.py │ │ └── w2l_conv_glu_enc.py │ ├── new │ │ ├── README.md │ │ ├── __init__.py │ │ ├── conf │ │ │ ├── hydra │ │ │ │ └── sweeper │ │ │ │ │ └── ax.yaml │ │ │ └── infer.yaml │ │ ├── decoders │ │ │ ├── __init__.py │ │ │ ├── base_decoder.py │ │ │ ├── decoder.py │ │ │ ├── decoder_config.py │ │ │ ├── flashlight_decoder.py │ │ │ └── viterbi_decoder.py │ │ └── infer.py │ ├── tasks │ │ ├── __init__.py │ │ └── speech_recognition.py │ ├── utils │ │ └── wer_utils.py │ └── w2l_decoder.py ├── speech_synthesis │ ├── README.md │ ├── __init__.py │ ├── data_utils.py │ ├── docs │ │ ├── common_voice_example.md │ │ ├── ljspeech_example.md │ │ └── vctk_example.md │ ├── evaluation │ │ ├── __init__.py │ │ ├── eval_asr.py │ │ ├── eval_f0.py │ │ ├── eval_sp.py │ │ └── get_eval_manifest.py │ ├── generate_waveform.py │ ├── preprocessing │ │ ├── __init__.py │ │ ├── denoise_and_vad_audio.py │ │ ├── denoiser │ │ │ ├── __init__.py │ │ │ ├── demucs.py │ │ │ ├── pretrained.py │ │ │ ├── resample.py │ │ │ └── utils.py │ │ ├── get_common_voice_audio_manifest.py │ │ ├── get_feature_manifest.py │ │ ├── get_ljspeech_audio_manifest.py │ │ ├── get_speaker_embedding.py │ │ ├── get_vctk_audio_manifest.py │ │ ├── speaker_embedder │ │ │ └── __init__.py │ │ └── vad │ │ │ └── __init__.py │ └── utils.py ├── speech_text_joint_to_text │ ├── README.md │ ├── __init__.py │ ├── configs │ │ └── mustc_noise.list │ ├── criterions │ │ ├── __init__.py │ │ ├── multi_modality_compound.py │ │ ├── multi_modality_cross_entropy.py │ │ └── text_guide_cross_entropy_acc.py │ ├── data │ │ └── pair_denoising_dataset.py │ ├── docs │ │ ├── ende-mustc.md │ │ ├── iwslt2021.md │ │ └── pre-training.md │ ├── models │ │ ├── __init__.py │ │ ├── joint_speech_text_pretrain_transformer.py │ │ ├── s2t_dualinputtransformer.py │ │ ├── s2t_dualinputwavtransformer.py │ │ └── s2t_dualinputxmtransformer.py │ ├── scripts │ │ ├── convert_model.py │ │ └── g2p_encode.py │ └── tasks │ │ ├── __init__.py │ │ ├── pair_denoising.py │ │ ├── speech_text_denoise_pretrain.py │ │ └── speech_text_joint.py ├── speech_to_speech │ ├── README.md │ ├── __init__.py │ ├── benchmarking │ │ ├── README.md │ │ ├── configs │ │ │ ├── 2StageS2ST.yaml │ │ │ ├── 3StageS2ST.yaml │ │ │ ├── DirectS2U.yaml │ │ │ └── S2T.yaml │ │ ├── core.py │ │ ├── data_utils.py │ │ └── get_metrics.py │ ├── docs │ │ ├── data_augmentation.md │ │ ├── direct_s2st_discrete_units.md │ │ ├── enhanced_direct_s2st_discrete_units.md │ │ └── textless_s2st_real_data.md │ ├── generate_waveform_from_code.py │ ├── preprocessing │ │ ├── __init__.py │ │ ├── data_utils.py │ │ ├── prep_s2spect_data.py │ │ ├── prep_s2ut_data.py │ │ ├── prep_sn_data.py │ │ └── prep_sn_output_data.py │ └── unity │ │ ├── __init__.py │ │ ├── sequence_generator.py │ │ └── sequence_generator_multi_decoder.py ├── speech_to_text │ ├── README.md │ ├── data_utils.py │ ├── docs │ │ ├── covost_example.md │ │ ├── librispeech_example.md │ │ ├── mtedx_example.md │ │ ├── mustc_example.md │ │ └── simulst_mustc_example.md │ ├── prep_covost_data.py │ ├── prep_librispeech_data.py │ ├── prep_mtedx_data.py │ ├── prep_mustc_data.py │ ├── seg_mustc_data.py │ └── simultaneous_translation │ │ └── agents │ │ └── fairseq_simul_st_agent.py ├── stories │ └── README.md ├── textless_nlp │ ├── dgslm │ │ └── README.md │ ├── gslm │ │ ├── README.md │ │ ├── metrics │ │ │ ├── README.md │ │ │ ├── abx_metrics │ │ │ │ ├── README.md │ │ │ │ └── dump_abx_feats.py │ │ │ └── asr_metrics │ │ │ │ ├── README.md │ │ │ │ ├── continuation_eval.py │ │ │ │ ├── misc │ │ │ │ ├── bleu_utils.py │ │ │ │ ├── cut_as.py │ │ │ │ └── dict.ltr.txt │ │ │ │ ├── ppx.py │ │ │ │ └── self_auto_bleu.py │ │ ├── speech2unit │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── clustering │ │ │ │ ├── __init__.py │ │ │ │ ├── cluster_kmeans.py │ │ │ │ ├── dump_feats.py │ │ │ │ ├── quantize_with_kmeans.py │ │ │ │ └── utils.py │ │ │ └── pretrained │ │ │ │ ├── cpc_feature_reader.py │ │ │ │ ├── hubert_feature_reader.py │ │ │ │ ├── logmel_feature_reader.py │ │ │ │ ├── utils.py │ │ │ │ └── w2v2_feature_reader.py │ │ ├── tools │ │ │ ├── README.md │ │ │ └── resynthesize_speech.py │ │ ├── ulm │ │ │ ├── README.md │ │ │ └── sample.py │ │ └── unit2speech │ │ │ ├── README.md │ │ │ ├── convert_to_16k.py │ │ │ ├── glow.py │ │ │ ├── multiproc.py │ │ │ ├── synthesize_audio_from_units.py │ │ │ ├── tacotron2 │ │ │ ├── __init__.py │ │ │ ├── audio_processing.py │ │ │ ├── cleaners.py │ │ │ ├── cmudict.py │ │ │ ├── layers.py │ │ │ ├── model.py │ │ │ ├── numbers.py │ │ │ ├── stft.py │ │ │ ├── symbols.py │ │ │ ├── text.py │ │ │ ├── utils.py │ │ │ └── waveglow_denoiser.py │ │ │ ├── tts_data.py │ │ │ └── utils.py │ ├── pgslm │ │ ├── README.md │ │ ├── data_utils.py │ │ ├── eval │ │ │ ├── __init__.py │ │ │ └── cont_metrics.py │ │ ├── generate_waveform.py │ │ ├── inference_dataset.py │ │ ├── naive_decoder.py │ │ ├── prepare_dataset.py │ │ ├── preprocess_f0.py │ │ ├── quantize_f0.py │ │ ├── sample │ │ │ ├── __init__.py │ │ │ └── sample.py │ │ ├── scripts │ │ │ ├── join_units_manifest.py │ │ │ ├── prepare_data.sh │ │ │ └── prepare_f0_quantization.sh │ │ └── truncated_laplace.py │ └── speech-resynth │ │ ├── README.md │ │ └── img │ │ └── fig.png ├── translation │ ├── README.md │ ├── prepare-iwslt14.sh │ ├── prepare-iwslt17-multilingual.sh │ ├── prepare-wmt14en2de.sh │ └── prepare-wmt14en2fr.sh ├── translation_moe │ ├── README.md │ ├── score.py │ └── translation_moe_src │ │ ├── __init__.py │ │ ├── logsumexp_moe.py │ │ ├── mean_pool_gating_network.py │ │ └── translation_moe.py ├── truncated_bptt │ ├── README.md │ ├── __init__.py │ ├── transformer_xl_model.py │ └── truncated_bptt_lm_task.py ├── unsupervised_quality_estimation │ ├── README.md │ ├── aggregate_scores.py │ ├── meteor.py │ └── repeat_lines.py ├── wav2vec │ ├── README.md │ ├── __init__.py │ ├── config │ │ ├── finetuning │ │ │ ├── base_100h.yaml │ │ │ ├── base_10h.yaml │ │ │ ├── base_10m.yaml │ │ │ ├── base_1h.yaml │ │ │ ├── base_960h.yaml │ │ │ ├── vox_100h.yaml │ │ │ ├── vox_10h.yaml │ │ │ ├── vox_10m.yaml │ │ │ ├── vox_1h.yaml │ │ │ └── vox_960h.yaml │ │ └── pretraining │ │ │ ├── wav2vec2_base_librispeech.yaml │ │ │ ├── wav2vec2_conformer_base_librispeech.yaml │ │ │ ├── wav2vec2_conformer_large_librivox.yaml │ │ │ ├── wav2vec2_large_librivox.yaml │ │ │ ├── wav2vec2_large_librivox_tpu-pod.yaml │ │ │ └── wav2vec2_large_librivox_tpu.yaml │ ├── libri_labels.py │ ├── scripts │ │ └── binarize_manifest.sh │ ├── unsupervised │ │ ├── README.md │ │ ├── __init__.py │ │ ├── config │ │ │ ├── finetuning │ │ │ │ └── w2v_finetune.yaml │ │ │ ├── gan │ │ │ │ ├── w2vu.yaml │ │ │ │ └── w2vu2.yaml │ │ │ ├── generate │ │ │ │ └── viterbi.yaml │ │ │ ├── timit_matched │ │ │ │ ├── test.uid │ │ │ │ ├── train.uid │ │ │ │ ├── train_text.uid │ │ │ │ └── valid.uid │ │ │ └── timit_unmatched │ │ │ │ ├── test.uid │ │ │ │ ├── train.uid │ │ │ │ ├── train_text.uid │ │ │ │ └── valid.uid │ │ ├── data │ │ │ ├── __init__.py │ │ │ ├── extracted_features_dataset.py │ │ │ └── random_input_dataset.py │ │ ├── kaldi_self_train │ │ │ ├── README.md │ │ │ └── st │ │ │ │ ├── cmd.sh │ │ │ │ ├── decode_phone.sh │ │ │ │ ├── decode_word_step1.sh │ │ │ │ ├── decode_word_step2.sh │ │ │ │ ├── local │ │ │ │ ├── copy_aligned_text.py │ │ │ │ ├── decode.sh │ │ │ │ ├── prepare_data_from_w2v.py │ │ │ │ ├── prepare_lang.sh │ │ │ │ ├── prepare_lang_word.sh │ │ │ │ ├── prepare_lm.sh │ │ │ │ ├── score.sh │ │ │ │ ├── show_wer.sh │ │ │ │ ├── train_subset_lgbeam.sh │ │ │ │ ├── unsup_select.py │ │ │ │ ├── unsup_select_decode.sh │ │ │ │ └── unsup_select_decode_word.sh │ │ │ │ ├── path.sh │ │ │ │ ├── steps │ │ │ │ ├── steps_gan │ │ │ │ ├── train_deltas.sh │ │ │ │ ├── train_lda_mllt.sh │ │ │ │ └── train_sat.sh │ │ │ │ ├── train.sh │ │ │ │ └── utils │ │ ├── models │ │ │ ├── __init__.py │ │ │ └── wav2vec_u.py │ │ ├── scripts │ │ │ ├── apply_pca.py │ │ │ ├── copy_labels.py │ │ │ ├── filter_lexicon.py │ │ │ ├── filter_tsv.py │ │ │ ├── g2p_wrd_to_phn.py │ │ │ ├── ltr_to_wrd.py │ │ │ ├── mean_pool.py │ │ │ ├── merge_clusters.py │ │ │ ├── normalize_and_filter_text.py │ │ │ ├── normalize_text.py │ │ │ ├── pca.py │ │ │ ├── phonemize_with_sil.py │ │ │ ├── prepare_audio.sh │ │ │ ├── prepare_audio_v2.sh │ │ │ ├── prepare_text.sh │ │ │ ├── prepare_timit.sh │ │ │ ├── remove_silence.py │ │ │ ├── vads.py │ │ │ ├── wav2vec_apply_cluster_faiss.py │ │ │ ├── wav2vec_cluster_faiss.py │ │ │ ├── wav2vec_extract_features.py │ │ │ ├── wer.py │ │ │ └── wrd_to_ltr.py │ │ ├── tasks │ │ │ ├── __init__.py │ │ │ └── unpaired_audio_text.py │ │ └── w2vu_generate.py │ ├── vq-wav2vec_featurize.py │ ├── wav2vec_featurize.py │ ├── wav2vec_manifest.py │ └── xlsr │ │ ├── README.md │ │ ├── config │ │ └── finetune.yaml │ │ └── scripts │ │ ├── eval_speaker_clf_task.py │ │ └── gen_audio_embedding.py ├── wmt19 │ └── README.md ├── wmt20 │ └── README.md ├── wmt21 │ ├── README.md │ ├── eval.sh │ └── scripts │ │ ├── normalize-punctuation.perl │ │ └── replace-unicode-punctuation.perl ├── womens_bios │ ├── README.md │ └── query_occupations_from_wikidata.py ├── xformers │ └── README.md ├── xglm │ ├── README.md │ └── model_card.md ├── xlmr │ └── README.md └── xmod │ ├── README.md │ └── preprocess_nli.py ├── fairseq ├── __init__.py ├── benchmark │ ├── __init__.py │ ├── benchmark_multihead_attention.py │ ├── dummy_dataset.py │ ├── dummy_lm.py │ ├── dummy_masked_lm.py │ ├── dummy_model.py │ └── dummy_mt.py ├── binarizer.py ├── checkpoint_utils.py ├── clib │ ├── cuda │ │ ├── ngram_repeat_block_cuda.cpp │ │ └── ngram_repeat_block_cuda_kernel.cu │ ├── libbase │ │ └── balanced_assignment.cpp │ ├── libbleu │ │ ├── libbleu.cpp │ │ └── module.cpp │ ├── libnat │ │ └── edit_dist.cpp │ └── libnat_cuda │ │ ├── binding.cpp │ │ ├── edit_dist.cu │ │ └── edit_dist.h ├── config │ ├── __init__.py │ ├── config.yaml │ └── model │ │ ├── transformer_lm │ │ ├── transformer_lm_baevski_gbw.yaml │ │ ├── transformer_lm_baevski_wiki103.yaml │ │ ├── transformer_lm_big.yaml │ │ ├── transformer_lm_gbw.yaml │ │ ├── transformer_lm_gpt.yaml │ │ ├── transformer_lm_gpt2_big.yaml │ │ ├── transformer_lm_gpt2_medium.yaml │ │ ├── transformer_lm_gpt2_small.yaml │ │ └── transformer_lm_wiki103.yaml │ │ ├── wav2vec │ │ └── vq_wav2vec_gumbel.yaml │ │ └── wav2vec2 │ │ ├── wav2vec2_base.yaml │ │ └── wav2vec2_large.yaml ├── criterions │ ├── __init__.py │ ├── adaptive_loss.py │ ├── composite_loss.py │ ├── cross_entropy.py │ ├── ctc.py │ ├── fairseq_criterion.py │ ├── fastspeech2_loss.py │ ├── hubert_criterion.py │ ├── label_smoothed_cross_entropy.py │ ├── label_smoothed_cross_entropy_latency_augmented.py │ ├── label_smoothed_cross_entropy_with_alignment.py │ ├── label_smoothed_cross_entropy_with_ctc.py │ ├── label_smoothed_cross_entropy_with_rdrop.py │ ├── legacy_masked_lm.py │ ├── masked_lm.py │ ├── model_criterion.py │ ├── nat_loss.py │ ├── sentence_prediction.py │ ├── sentence_prediction_adapters.py │ ├── sentence_ranking.py │ ├── speech_to_speech_criterion.py │ ├── speech_ulm_criterion.py │ ├── tacotron2_loss.py │ └── wav2vec_criterion.py ├── data │ ├── __init__.py │ ├── add_target_dataset.py │ ├── append_token_dataset.py │ ├── audio │ │ ├── __init__.py │ │ ├── audio_utils.py │ │ ├── data_cfg.py │ │ ├── dataset_transforms │ │ │ ├── __init__.py │ │ │ ├── concataugment.py │ │ │ └── noisyoverlapaugment.py │ │ ├── feature_transforms │ │ │ ├── __init__.py │ │ │ ├── delta_deltas.py │ │ │ ├── global_cmvn.py │ │ │ ├── specaugment.py │ │ │ └── utterance_cmvn.py │ │ ├── frm_text_to_speech_dataset.py │ │ ├── hubert_dataset.py │ │ ├── multi_modality_dataset.py │ │ ├── raw_audio_dataset.py │ │ ├── speech_to_speech_dataset.py │ │ ├── speech_to_text_dataset.py │ │ ├── speech_to_text_joint_dataset.py │ │ ├── text_to_speech_dataset.py │ │ └── waveform_transforms │ │ │ ├── __init__.py │ │ │ └── noiseaugment.py │ ├── backtranslation_dataset.py │ ├── base_wrapper_dataset.py │ ├── bucket_pad_length_dataset.py │ ├── codedataset.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 │ ├── fasta_dataset.py │ ├── huffman │ │ ├── __init__.py │ │ ├── huffman_coder.py │ │ └── huffman_mmap_indexed_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 │ │ ├── multilingual_utils.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 │ ├── span_mask_tokens_dataset.py │ ├── strip_token_dataset.py │ ├── subsample_dataset.py │ ├── text_compressor.py │ ├── token_block_dataset.py │ ├── token_block_utils_fast.pyx │ ├── transform_eos_concat_langpair_dataset.py │ ├── transform_eos_dataset.py │ └── transform_eos_lang_pair_dataset.py ├── dataclass │ ├── __init__.py │ ├── configs.py │ ├── constants.py │ ├── initialize.py │ └── utils.py ├── distributed │ ├── __init__.py │ ├── distributed_timeout_wrapper.py │ ├── fully_sharded_data_parallel.py │ ├── legacy_distributed_data_parallel.py │ ├── module_proxy_wrapper.py │ ├── tpu_distributed_data_parallel.py │ └── utils.py ├── file_chunker_utils.py ├── file_io.py ├── file_utils.py ├── hub_utils.py ├── incremental_decoding_utils.py ├── iterative_refinement_generator.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 │ │ ├── pipeline_parallel_transformer │ │ │ ├── __init__.py │ │ │ ├── layers.py │ │ │ └── model.py │ │ ├── roberta │ │ │ ├── __init__.py │ │ │ └── model.py │ │ ├── transformer.py │ │ └── transformer_lm.py │ └── modules │ │ ├── __init__.py │ │ ├── multihead_attention.py │ │ └── transformer_layer.py ├── models │ ├── __init__.py │ ├── bart │ │ ├── __init__.py │ │ ├── hub_interface.py │ │ └── model.py │ ├── composite_encoder.py │ ├── distributed_fairseq_model.py │ ├── ema │ │ ├── __init__.py │ │ └── ema.py │ ├── fairseq_decoder.py │ ├── fairseq_encoder.py │ ├── fairseq_incremental_decoder.py │ ├── fairseq_model.py │ ├── fconv.py │ ├── fconv_lm.py │ ├── fconv_self_att.py │ ├── hubert │ │ ├── __init__.py │ │ ├── hubert.py │ │ └── hubert_asr.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 │ │ ├── enc_dec.py │ │ ├── hub_interface.py │ │ ├── model.py │ │ ├── model_camembert.py │ │ ├── model_gottbert.py │ │ └── model_xlmr.py │ ├── speech_to_speech │ │ ├── __init__.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── ctc_decoder.py │ │ │ ├── stacked_embedding.py │ │ │ ├── transformer_decoder_aug.py │ │ │ └── transformer_encoder.py │ │ ├── s2s_conformer.py │ │ ├── s2s_conformer_translatotron2.py │ │ ├── s2s_conformer_unity.py │ │ └── s2s_transformer.py │ ├── speech_to_text │ │ ├── __init__.py │ │ ├── berard.py │ │ ├── convtransformer.py │ │ ├── hub_interface.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── augmented_memory_attention.py │ │ │ ├── convolution.py │ │ │ └── emformer.py │ │ ├── multi_modality_model.py │ │ ├── s2t_conformer.py │ │ ├── s2t_transformer.py │ │ ├── s2t_wav_transformer.py │ │ ├── utils.py │ │ ├── xm_transformer.py │ │ └── xm_transformer_unity.py │ ├── text_to_speech │ │ ├── __init__.py │ │ ├── codehifigan.py │ │ ├── fastspeech2.py │ │ ├── hifigan.py │ │ ├── hub_interface.py │ │ ├── tacotron2.py │ │ ├── tts_transformer.py │ │ └── vocoder.py │ ├── transformer │ │ ├── __init__.py │ │ ├── transformer_base.py │ │ ├── transformer_config.py │ │ ├── transformer_decoder.py │ │ ├── transformer_decoder_aug.py │ │ ├── transformer_encoder.py │ │ └── transformer_legacy.py │ ├── transformer_align.py │ ├── transformer_from_pretrained_xlm.py │ ├── transformer_lm.py │ ├── transformer_ulm.py │ ├── wav2vec │ │ ├── __init__.py │ │ ├── utils.py │ │ ├── wav2vec.py │ │ ├── wav2vec2.py │ │ └── wav2vec2_asr.py │ └── xmod │ │ ├── __init__.py │ │ ├── hub_interface.py │ │ ├── model.py │ │ └── transformer_layer_xmod.py ├── modules │ ├── __init__.py │ ├── adaptive_input.py │ ├── adaptive_softmax.py │ ├── base_layer.py │ ├── beamable_mm.py │ ├── character_token_embedder.py │ ├── checkpoint_activations.py │ ├── conformer_layer.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 │ ├── ema_module.py │ ├── espnet_multihead_attention.py │ ├── fairseq_dropout.py │ ├── fp32_batch_norm.py │ ├── fp32_group_norm.py │ ├── fp32_instance_norm.py │ ├── gelu.py │ ├── grad_multiply.py │ ├── gumbel_vector_quantizer.py │ ├── kmeans_attention.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 │ ├── location_attention.py │ ├── lstm_cell_with_zoneout.py │ ├── multihead_attention.py │ ├── positional_embedding.py │ ├── positional_encoding.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 │ ├── rotary_positional_embedding.py │ ├── same_pad.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_layer_aug.py │ ├── transformer_sentence_encoder.py │ ├── transformer_sentence_encoder_layer.py │ ├── transpose_last.py │ ├── unfold.py │ └── vggblock.py ├── nan_detector.py ├── ngram_repeat_block.py ├── optim │ ├── __init__.py │ ├── adadelta.py │ ├── adafactor.py │ ├── adagrad.py │ ├── adam.py │ ├── adamax.py │ ├── amp_optimizer.py │ ├── bmuf.py │ ├── composite.py │ ├── cpu_adam.py │ ├── dynamic_loss_scaler.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 │ │ ├── manual_lr_scheduler.py │ │ ├── pass_through.py │ │ ├── polynomial_decay_schedule.py │ │ ├── reduce_lr_on_plateau.py │ │ ├── step_lr_scheduler.py │ │ ├── tri_stage_lr_scheduler.py │ │ └── triangular_lr_scheduler.py │ ├── nag.py │ ├── sgd.py │ └── shard.py ├── options.py ├── pdb.py ├── quantization_utils.py ├── registry.py ├── scoring │ ├── __init__.py │ ├── bertscore.py │ ├── bleu.py │ ├── chrf.py │ ├── meteor.py │ ├── tokenizer.py │ └── wer.py ├── search.py ├── sequence_generator.py ├── sequence_scorer.py ├── speech_generator.py ├── tasks │ ├── __init__.py │ ├── audio_finetuning.py │ ├── audio_pretraining.py │ ├── cross_lingual_lm.py │ ├── denoising.py │ ├── fairseq_task.py │ ├── frm_text_to_speech.py │ ├── hubert_pretraining.py │ ├── language_modeling.py │ ├── legacy_masked_lm.py │ ├── masked_lm.py │ ├── multilingual_denoising.py │ ├── multilingual_language_modeling.py │ ├── multilingual_masked_lm.py │ ├── multilingual_translation.py │ ├── nlu_finetuning.py │ ├── online_backtranslation.py │ ├── semisupervised_translation.py │ ├── sentence_prediction.py │ ├── sentence_prediction_adapters.py │ ├── sentence_ranking.py │ ├── simultaneous_translation.py │ ├── span_masked_lm.py │ ├── speech_to_speech.py │ ├── speech_to_text.py │ ├── speech_ulm_task.py │ ├── text_to_speech.py │ ├── translation.py │ ├── translation_from_pretrained_bart.py │ ├── translation_from_pretrained_xlm.py │ ├── translation_lev.py │ └── translation_multi_simple_epoch.py ├── token_generation_constraints.py ├── tokenizer.py ├── trainer.py ├── utils.py └── version.txt ├── fairseq_cli ├── __init__.py ├── eval_lm.py ├── generate.py ├── hydra_train.py ├── interactive.py ├── preprocess.py ├── score.py ├── train.py └── validate.py ├── hubconf.py ├── pyproject.toml ├── release_utils.py ├── scripts ├── __init__.py ├── average_checkpoints.py ├── build_sym_alignment.py ├── check_installation.py ├── compare_namespaces.py ├── compound_split_bleu.sh ├── constraints │ ├── extract.py │ └── validate.py ├── convert_dictionary.lua ├── convert_model.lua ├── count_docs.py ├── read_binarized.py ├── rm_pt.py ├── sacrebleu.sh ├── shard_docs.py ├── split_train_valid_docs.py ├── spm_decode.py ├── spm_encode.py ├── spm_train.py └── test_fsdp.sh ├── setup.cfg ├── setup.py ├── tests ├── __init__.py ├── distributed │ ├── __init__.py │ ├── test_bmuf.py │ ├── test_distributed_timeout_wrapper.py │ ├── test_module_proxy_wrapper.py │ ├── test_utils.py │ └── utils.py ├── espresso │ ├── __init__.py │ ├── test_asr_dataset.py │ └── test_speech_utils.py ├── gpu │ ├── __init__.py │ ├── test_binaries_gpu.py │ ├── test_ema_gpu.py │ └── transformer_quantization_config.yaml ├── speech │ ├── __init__.py │ ├── test_convtransformer_simul_trans.py │ ├── test_dual_input_wav_transformer.py │ ├── test_dualinput_s2t_transformer.py │ ├── test_fastspeech2.py │ ├── test_s2s_transformer.py │ ├── test_s2t_conformer.py │ ├── test_s2t_transformer.py │ ├── test_tts_transformer.py │ ├── test_wav2vec2.py │ └── test_xm_transformer.py ├── speech_recognition │ ├── __init__.py │ ├── asr_test_base.py │ ├── test_collaters.py │ ├── test_cross_entropy.py │ ├── test_data_utils.py │ └── test_vggtransformer.py ├── tasks │ ├── test_denoising.py │ ├── test_masked_lm.py │ ├── test_multilingual_denoising.py │ └── test_span_masked_lm.py ├── test_activation_checkpointing.py ├── test_amp_optimizer.py ├── test_average_checkpoints.py ├── test_backtranslation_dataset.py ├── test_binaries.py ├── test_binarizer.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_dataclass_utils.py ├── test_dataset.py ├── test_dictionary.py ├── test_ema.py ├── 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