├── .github ├── ISSUE_TEMPLATE.md ├── ISSUE_TEMPLATE │ ├── bug_report.md │ ├── documentation.md │ ├── feature_request.md │ └── how-to-question.md ├── PULL_REQUEST_TEMPLATE.md └── workflows │ ├── build.yml │ └── build_windows.yml ├── .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 ├── 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 ├── eval_lm.py ├── examples ├── .gitignore ├── __init__.py ├── pervasive │ ├── README.md │ ├── __init__.py │ ├── criterions │ │ ├── __init__.py │ │ ├── archive │ │ │ ├── above_path_cross_entropy.py │ │ │ ├── adpative_cross_entropy.py │ │ │ ├── align_label_smoothed_cross_entropy.py │ │ │ ├── dynamic_ll_loss.py │ │ │ ├── dynamic_waitk_criterion.py │ │ │ ├── grid_cross_entropy.py │ │ │ ├── grid_cross_entropy_aove │ │ │ ├── hmm_loss.py │ │ │ ├── multi_cross_entropy.py │ │ │ ├── multicontextt_cross_entropy.py │ │ │ ├── pa_grid_cross_entropy.py │ │ │ ├── qv_cross_entropy.py │ │ │ ├── regualrized_attention.py │ │ │ ├── search_cross_entropy.py │ │ │ ├── sim_translation_loss.py │ │ │ ├── simultaneous_hmm_loss.py │ │ │ ├── simultaneous_loss.py │ │ │ └── weighted_label_smoothed_cross_entropy.py │ │ ├── grid_cross_entropy.py │ │ └── simultrans_dynamic_loss.py │ ├── generators │ │ ├── __init__.py │ │ ├── dynamic_simultaneous_sequence_generator.py │ │ └── waitk_sequence_generator.py │ ├── models │ │ ├── __init__.py │ │ ├── archive │ │ │ ├── above_transformer.py │ │ │ ├── attn2d_dynamic.py │ │ │ ├── attn2d_dynamic_ll.py │ │ │ ├── attn2d_dynamic_v2.py │ │ │ ├── attn2d_sim.py │ │ │ ├── attn2d_sim_hmm.py │ │ │ ├── attn2d_waitk.py │ │ │ ├── attn2d_waitk_v2.py │ │ │ ├── double_attn2d_dynamic_ll.py │ │ │ ├── shallow_oracle_attn2d.py │ │ │ ├── tmp_dynamic │ │ │ └── transformer_cumul.py │ │ ├── pervasive_attention.py │ │ └── simultrans_pervasive_oracle.py │ ├── modules │ │ ├── __init__.py │ │ ├── aggregators.py │ │ ├── archive │ │ │ ├── densenet.py │ │ │ ├── densenet_bn.py │ │ │ ├── densenet_cascade.py │ │ │ ├── densenet_ffn.py │ │ │ ├── densenet_ffn_pono.py │ │ │ ├── densenet_ln.py │ │ │ ├── densenet_nonorm.py │ │ │ ├── densenet_pono.py │ │ │ ├── densenet_pono_kmax.py │ │ │ ├── dilated_resnet.py │ │ │ ├── dilated_resnet2.py │ │ │ ├── expanding_resnet.py │ │ │ ├── fav_resnet.py │ │ │ ├── pa_gatenet.py │ │ │ ├── pa_gatenet10.py │ │ │ ├── pa_gatenet11.py │ │ │ ├── pa_gatenet12.py │ │ │ ├── pa_gatenet2.py │ │ │ ├── pa_gatenet3.py │ │ │ ├── pa_gatenet4.py │ │ │ ├── pa_gatenet5.py │ │ │ ├── pa_gatenet6.py │ │ │ ├── pa_gatenet7.py │ │ │ ├── pa_gatenet8.py │ │ │ ├── pa_gatenet9.py │ │ │ ├── pa_resnet.py │ │ │ ├── pa_scalenet.py │ │ │ ├── pa_scalenet2.py │ │ │ ├── qv.py │ │ │ ├── qv_v1.py │ │ │ ├── resnet2.py │ │ │ ├── resnet3.py │ │ │ ├── resnet4.py │ │ │ ├── resnet5.py │ │ │ ├── resnet6.py │ │ │ ├── resnet_addup.py │ │ │ ├── resnet_addup2.py │ │ │ ├── resnet_addup3.py │ │ │ ├── resnet_addup_nonorm.py │ │ │ ├── resnet_addup_nonorm2_all.py │ │ │ ├── resnet_addup_nonorm2_gated.py │ │ │ ├── resnet_addup_nonorm2_gated_noffn.py │ │ │ ├── resnet_addup_nonorm2_rev.py │ │ │ ├── resnet_addup_nonorm2_wbias.py │ │ │ ├── resnet_addup_nonorm3.py │ │ │ ├── resnet_addup_nonorm4.py │ │ │ ├── resnet_lite.py │ │ │ └── resnet_renorm.py │ │ ├── convnet.py │ │ ├── densenet.py │ │ ├── masked_convolution.py │ │ ├── oracle.py │ │ ├── pa_controller.py │ │ ├── resnet.py │ │ ├── tiny_resnet.py │ │ └── wip │ │ │ ├── ConvNetActions.py │ │ │ ├── dynamic_controls.py │ │ │ ├── dynamic_halters.py │ │ │ ├── fb_controls.py │ │ │ ├── hmm_controls.py │ │ │ ├── hmm_controls2.py │ │ │ ├── hmm_controls3.py │ │ │ ├── ll_controls.py │ │ │ ├── mini_masked_convolution.py │ │ │ ├── oracle_controls.py │ │ │ ├── shallow_controller.py │ │ │ ├── tinyPA.py │ │ │ └── tinyPA3.py │ ├── overview.png │ ├── tasks │ │ ├── __init__.py │ │ ├── dynamic_simultaneous_translation.py │ │ └── waitk_task.py │ └── waitk_pa.png ├── translation │ └── prepare-iwslt14.sh └── waitk │ ├── README.md │ ├── __init__.py │ ├── eval_delay.py │ ├── generators │ ├── __init__.py │ └── waitk_sequence_generator.py │ ├── models │ ├── __init__.py │ └── waitk_transformer.py │ ├── modules │ ├── __init__.py │ ├── multihead_attention.py │ └── transformer_layers.py │ ├── tasks │ ├── __init__.py │ └── waitk_task.py │ └── waitk.png ├── fairseq ├── __init__.py ├── benchmark │ ├── __init__.py │ ├── dummy_lm.py │ ├── dummy_masked_lm.py │ └── dummy_model.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 │ ├── 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_sampled_dataset.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 │ ├── 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 │ └── truncate_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 │ │ ├── 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 │ ├── 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_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 │ ├── fp32_group_norm.py │ ├── gelu.py │ ├── grad_multiply.py │ ├── gumbel_vector_quantizer.py │ ├── kmeans_vector_quantizer.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 ├── 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 ├── generate.py ├── hubconf.py ├── interactive.py ├── pip-wheel-metadata └── fairseq.dist-info │ ├── LICENSE │ ├── METADATA │ ├── entry_points.txt │ └── top_level.txt ├── preprocess.py ├── pyproject.toml ├── score.py ├── 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_pregen.sh ├── shard_docs.py ├── split_train_valid_docs.py ├── spm_decode.py ├── spm_encode.py └── spm_train.py ├── setup.py ├── tests ├── __init__.py ├── speech_recognition │ ├── __init__.py │ ├── asr_test_base.py │ ├── test_collaters.py │ ├── test_cross_entropy.py │ └── test_vggtransformer.py ├── test_average_checkpoints.py ├── test_backtranslation_dataset.py ├── test_binaries.py ├── test_bmuf.py ├── 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