├── .gitignore ├── LICENSE ├── Load_model.py ├── README.md ├── Trainer.py ├── conv_stft.py ├── fairseq ├── .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 │ │ └── build_wheels.yml ├── .gitmodules ├── .isort.cfg ├── .pre-commit-config.yaml ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── build │ ├── lib.linux-x86_64-cpython-37 │ │ └── fairseq │ │ │ ├── data │ │ │ ├── data_utils_fast.cpython-37m-x86_64-linux-gnu.so │ │ │ └── token_block_utils_fast.cpython-37m-x86_64-linux-gnu.so │ │ │ └── libbleu.cpython-37m-x86_64-linux-gnu.so │ └── temp.linux-x86_64-cpython-37 │ │ └── fairseq │ │ ├── clib │ │ └── libbleu │ │ │ ├── libbleu.o │ │ │ └── module.o │ │ └── data │ │ ├── data_utils_fast.o │ │ └── token_block_utils_fast.o ├── 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 │ ├── hydra_integration.md │ ├── 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 ├── 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 │ ├── 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 │ ├── 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 │ │ │ ├── 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 │ ├── 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 │ │ ├── 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 │ │ │ │ ├── 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_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 │ ├── 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.egg-info │ ├── PKG-INFO │ ├── SOURCES.txt │ ├── dependency_links.txt │ ├── entry_points.txt │ ├── not-zip-safe │ ├── requires.txt │ └── top_level.txt ├── fairseq │ ├── .ipynb_checkpoints │ │ └── checkpoint_utils-checkpoint.py │ ├── __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 │ │ ├── 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 │ │ │ ├── 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 │ │ ├── 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.cpp │ │ ├── data_utils_fast.cpython-37m-x86_64-linux-gnu.so │ │ ├── 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 │ │ ├── strip_token_dataset.py │ │ ├── subsample_dataset.py │ │ ├── text_compressor.py │ │ ├── token_block_dataset.py │ │ ├── token_block_utils_fast.cpp │ │ ├── token_block_utils_fast.cpython-37m-x86_64-linux-gnu.so │ │ ├── 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 │ ├── libbleu.cpython-37m-x86_64-linux-gnu.so │ ├── 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 │ │ │ ├── .ipynb_checkpoints │ │ │ │ └── hubert-checkpoint.py │ │ │ ├── __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.py │ │ │ ├── s2s_conformer.py │ │ │ └── s2s_transformer.py │ │ ├── speech_to_text │ │ │ ├── __init__.py │ │ │ ├── berard.py │ │ │ ├── convtransformer.py │ │ │ ├── hub_interface.py │ │ │ ├── modules │ │ │ │ ├── augmented_memory_attention.py │ │ │ │ └── emformer.py │ │ │ ├── multi_modality_model.py │ │ │ ├── s2t_conformer.py │ │ │ ├── s2t_transformer.py │ │ │ ├── s2t_wav_transformer.py │ │ │ ├── utils.py │ │ │ └── xm_transformer.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_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_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 │ │ ├── online_backtranslation.py │ │ ├── semisupervised_translation.py │ │ ├── sentence_prediction.py │ │ ├── sentence_prediction_adapters.py │ │ ├── sentence_ranking.py │ │ ├── simultaneous_translation.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.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 ├── scripts │ ├── __init__.py │ ├── average_checkpoints.py │ ├── build_sym_alignment.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 │ ├── 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_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 │ ├── test_espnet_multihead_attention.py │ ├── test_export.py │ ├── test_file_chunker_utils.py │ ├── test_file_io.py │ ├── test_fp16_optimizer.py │ ├── test_hf_hub.py │ ├── test_huffman.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_online_backtranslation.py │ ├── test_plasma_utils.py │ ├── test_positional_encoding.py │ ├── test_reproducibility.py │ ├── test_resampling_dataset.py │ ├── test_roberta.py │ ├── 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