├── CODE_OF_CONDUCT.md ├── LICENSE ├── README.md ├── __pycache__ └── preprocess.cpython-36.pyc ├── 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 ├── .DS_Store ├── .gitignore ├── KEPLER │ ├── GLUE │ │ ├── CoLA.sh │ │ ├── MNLI.sh │ │ ├── MRPC.sh │ │ ├── QNLI.sh │ │ ├── QQP.sh │ │ ├── RTE.sh │ │ ├── SST-2.sh │ │ └── STS-B.sh │ ├── KE │ │ ├── evaluate_transe_inductive.py │ │ ├── evaluate_transe_transductive.py │ │ └── generate_embeddings.py │ ├── OpenEntity │ │ ├── pytorch_transformers │ │ │ ├── __init__.py │ │ │ ├── __main__.py │ │ │ ├── configuration_auto.py │ │ │ ├── configuration_bert.py │ │ │ ├── configuration_distilbert.py │ │ │ ├── configuration_gpt2.py │ │ │ ├── configuration_openai.py │ │ │ ├── configuration_roberta.py │ │ │ ├── configuration_transfo_xl.py │ │ │ ├── configuration_utils.py │ │ │ ├── configuration_xlm.py │ │ │ ├── configuration_xlnet.py │ │ │ ├── convert_gpt2_checkpoint_to_pytorch.py │ │ │ ├── convert_openai_checkpoint_to_pytorch.py │ │ │ ├── convert_pytorch_checkpoint_to_tf.py │ │ │ ├── convert_roberta_checkpoint_to_pytorch.py │ │ │ ├── convert_tf_checkpoint_to_pytorch.py │ │ │ ├── convert_transfo_xl_checkpoint_to_pytorch.py │ │ │ ├── convert_xlm_checkpoint_to_pytorch.py │ │ │ ├── convert_xlnet_checkpoint_to_pytorch.py │ │ │ ├── file_utils.py │ │ │ ├── modeling_auto.py │ │ │ ├── modeling_bert.py │ │ │ ├── modeling_distilbert.py │ │ │ ├── modeling_gpt2.py │ │ │ ├── modeling_openai.py │ │ │ ├── modeling_roberta.py │ │ │ ├── modeling_transfo_xl.py │ │ │ ├── modeling_transfo_xl_utilities.py │ │ │ ├── modeling_utils.py │ │ │ ├── modeling_xlm.py │ │ │ ├── modeling_xlnet.py │ │ │ ├── optimization.py │ │ │ ├── tests │ │ │ │ ├── __init__.py │ │ │ │ ├── configuration_common_test.py │ │ │ │ ├── conftest.py │ │ │ │ ├── fixtures │ │ │ │ │ ├── input.txt │ │ │ │ │ ├── sample_text.txt │ │ │ │ │ └── test_sentencepiece.model │ │ │ │ ├── modeling_auto_test.py │ │ │ │ ├── modeling_bert_test.py │ │ │ │ ├── modeling_common_test.py │ │ │ │ ├── modeling_distilbert_test.py │ │ │ │ ├── modeling_gpt2_test.py │ │ │ │ ├── modeling_openai_test.py │ │ │ │ ├── modeling_roberta_test.py │ │ │ │ ├── modeling_transfo_xl_test.py │ │ │ │ ├── modeling_xlm_test.py │ │ │ │ ├── modeling_xlnet_test.py │ │ │ │ ├── optimization_test.py │ │ │ │ ├── tokenization_auto_test.py │ │ │ │ ├── tokenization_bert_test.py │ │ │ │ ├── tokenization_dilbert_test.py │ │ │ │ ├── tokenization_gpt2_test.py │ │ │ │ ├── tokenization_openai_test.py │ │ │ │ ├── tokenization_roberta_test.py │ │ │ │ ├── tokenization_tests_commons.py │ │ │ │ ├── tokenization_transfo_xl_test.py │ │ │ │ ├── tokenization_utils_test.py │ │ │ │ ├── tokenization_xlm_test.py │ │ │ │ └── tokenization_xlnet_test.py │ │ │ ├── tokenization_auto.py │ │ │ ├── tokenization_bert.py │ │ │ ├── tokenization_distilbert.py │ │ │ ├── tokenization_gpt2.py │ │ │ ├── tokenization_openai.py │ │ │ ├── tokenization_roberta.py │ │ │ ├── tokenization_transfo_xl.py │ │ │ ├── tokenization_utils.py │ │ │ ├── tokenization_xlm.py │ │ │ └── tokenization_xlnet.py │ │ ├── run_openentity.sh │ │ ├── run_typing.py │ │ └── utils_glue.py │ ├── Pretrain │ │ ├── KGpreprocess.py │ │ ├── convert.py │ │ └── splitDump.py │ └── TACRED │ │ └── TACRED.sh ├── __init__.py ├── __pycache__ │ └── __init__.cpython-36.pyc ├── backtranslation │ └── README.md ├── conv_seq2seq │ └── README.md ├── cross_lingual_language_model │ └── README.md ├── language_model │ ├── README.md │ ├── conv_lm │ │ └── README.md │ └── transformer_lm │ │ └── README.md ├── noisychannel │ ├── README.md │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ └── rerank_options.cpython-36.pyc │ ├── rerank.py │ ├── rerank_generate.py │ ├── rerank_options.py │ ├── rerank_score_bw.py │ ├── rerank_score_lm.py │ ├── rerank_tune.py │ └── rerank_utils.py ├── pay_less_attention_paper │ └── README.md ├── roberta │ ├── README.custom_classification.md │ ├── README.glue.md │ ├── README.md │ ├── README.pretraining.md │ ├── README.race.md │ ├── __pycache__ │ │ └── multiprocessing_bpe_encoder.cpython-36.pyc │ ├── commonsense_qa │ │ ├── README.md │ │ ├── __init__.py │ │ ├── commonsense_qa_task.py │ │ └── download_cqa_data.sh │ ├── multiprocessing_bpe_encoder.py │ ├── preprocess_GLUE_tasks.sh │ ├── preprocess_RACE.py │ ├── preprocess_RACE.sh │ └── wsc │ │ ├── README.md │ │ ├── __init__.py │ │ ├── wsc_criterion.py │ │ ├── wsc_task.py │ │ └── wsc_utils.py ├── scaling_nmt │ └── README.md ├── speech_recognition │ ├── README.md │ ├── __init__.py │ ├── criterions │ │ ├── __init__.py │ │ └── cross_entropy_acc.py │ ├── data │ │ ├── __init__.py │ │ ├── asr_dataset.py │ │ ├── collaters.py │ │ └── data_utils.py │ ├── datasets │ │ ├── asr_prep_json.py │ │ └── prepare-librispeech.sh │ ├── infer.py │ ├── models │ │ ├── __init__.py │ │ └── vggtransformer.py │ └── tasks │ │ ├── __init__.py │ │ └── speech_recognition.py ├── stories │ └── README.md ├── translation │ ├── README.md │ ├── prepare-iwslt14.sh │ ├── prepare-iwslt17-multilingual.sh │ ├── prepare-wmt14en2de.sh │ └── prepare-wmt14en2fr.sh ├── translation_moe │ ├── README.md │ └── score.py ├── wav2vec │ └── README.md └── wmt19 │ └── README.md ├── fairseq.egg-info ├── PKG-INFO ├── SOURCES.txt ├── dependency_links.txt ├── entry_points.txt ├── not-zip-safe ├── requires.txt └── top_level.txt ├── fairseq.gif ├── fairseq ├── .DS_Store ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── binarizer.cpython-36.pyc │ ├── checkpoint_utils.cpython-36.pyc │ ├── distributed_utils.cpython-36.pyc │ ├── file_utils.cpython-36.pyc │ ├── hub_utils.cpython-36.pyc │ ├── legacy_distributed_data_parallel.cpython-36.pyc │ ├── meters.cpython-36.pyc │ ├── options.cpython-36.pyc │ ├── pdb.cpython-36.pyc │ ├── registry.cpython-36.pyc │ ├── search.cpython-36.pyc │ ├── sequence_generator.cpython-36.pyc │ ├── tokenizer.cpython-36.pyc │ └── utils.cpython-36.pyc ├── binarizer.py ├── bleu.py ├── checkpoint_utils.py ├── clib │ └── libbleu │ │ ├── libbleu.cpp │ │ └── module.cpp ├── criterions │ ├── MLMetKE.py │ ├── __init__.py │ ├── __pycache__ │ │ ├── MLMetKE.cpython-36.pyc │ │ ├── __init__.cpython-36.pyc │ │ ├── adaptive_loss.cpython-36.pyc │ │ ├── binary_cross_entropy.cpython-36.pyc │ │ ├── composite_loss.cpython-36.pyc │ │ ├── cross_entropy.cpython-36.pyc │ │ ├── fairseq_criterion.cpython-36.pyc │ │ ├── label_smoothed_cross_entropy.cpython-36.pyc │ │ ├── legacy_masked_lm.cpython-36.pyc │ │ ├── masked_lm.cpython-36.pyc │ │ ├── only_ke.cpython-36.pyc │ │ ├── relation_extraction.cpython-36.pyc │ │ ├── sentence_prediction.cpython-36.pyc │ │ ├── sentence_prediction_debug.cpython-36.pyc │ │ └── sentence_ranking.cpython-36.pyc │ ├── adaptive_loss.py │ ├── binary_cross_entropy.py │ ├── composite_loss.py │ ├── cross_entropy.py │ ├── fairseq_criterion.py │ ├── label_smoothed_cross_entropy.py │ ├── legacy_masked_lm.py │ ├── masked_lm.py │ ├── only_ke.py │ ├── relation_extraction.py │ ├── sentence_prediction.py │ ├── sentence_prediction_debug.py │ └── sentence_ranking.py ├── data │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── backtranslation_dataset.cpython-36.pyc │ │ ├── base_wrapper_dataset.cpython-36.pyc │ │ ├── concat_dataset.cpython-36.pyc │ │ ├── concat_sentences_dataset.cpython-36.pyc │ │ ├── data_utils.cpython-36.pyc │ │ ├── dictionary.cpython-36.pyc │ │ ├── fairseq_dataset.cpython-36.pyc │ │ ├── fake_numel_dataset.cpython-36.pyc │ │ ├── id_dataset.cpython-36.pyc │ │ ├── indexed_dataset.cpython-36.pyc │ │ ├── iterators.cpython-36.pyc │ │ ├── ke_dataset.cpython-36.pyc │ │ ├── ke_negative_dataset.cpython-36.pyc │ │ ├── language_pair_dataset.cpython-36.pyc │ │ ├── list_dataset.cpython-36.pyc │ │ ├── lm_context_window_dataset.cpython-36.pyc │ │ ├── lru_cache_dataset.cpython-36.pyc │ │ ├── mask_tokens_dataset.cpython-36.pyc │ │ ├── monolingual_dataset.cpython-36.pyc │ │ ├── multi_corpus_sampled_dataset.cpython-36.pyc │ │ ├── nested_dictionary_dataset.cpython-36.pyc │ │ ├── noising.cpython-36.pyc │ │ ├── num_samples_dataset.cpython-36.pyc │ │ ├── numel_dataset.cpython-36.pyc │ │ ├── offset_tokens_dataset.cpython-36.pyc │ │ ├── pad_dataset.cpython-36.pyc │ │ ├── plasma_utils.cpython-36.pyc │ │ ├── prepend_dataset.cpython-36.pyc │ │ ├── prepend_token_dataset.cpython-36.pyc │ │ ├── raw_label_dataset.cpython-36.pyc │ │ ├── replace_dataset.cpython-36.pyc │ │ ├── round_robin_zip_datasets.cpython-36.pyc │ │ ├── sharded_dataset.cpython-36.pyc │ │ ├── sort_dataset.cpython-36.pyc │ │ ├── strip_token_dataset.cpython-36.pyc │ │ ├── subsample_dataset.cpython-36.pyc │ │ ├── token_block_dataset.cpython-36.pyc │ │ ├── transform_eos_dataset.cpython-36.pyc │ │ ├── transform_eos_lang_pair_dataset.cpython-36.pyc │ │ └── truncate_dataset.cpython-36.pyc │ ├── audio │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ └── raw_audio_dataset.cpython-36.pyc │ │ └── raw_audio_dataset.py │ ├── backtranslation_dataset.py │ ├── base_wrapper_dataset.py │ ├── concat_dataset.py │ ├── concat_sentences_dataset.py │ ├── data_utils.py │ ├── data_utils_fast.cpp │ ├── data_utils_fast.cpython-36m-x86_64-linux-gnu.so │ ├── data_utils_fast.pyx │ ├── dictionary.py │ ├── encoders │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── fastbpe.cpython-36.pyc │ │ │ ├── gpt2_bpe.cpython-36.pyc │ │ │ ├── gpt2_bpe_utils.cpython-36.pyc │ │ │ ├── hf_bert_bpe.cpython-36.pyc │ │ │ ├── moses_tokenizer.cpython-36.pyc │ │ │ ├── nltk_tokenizer.cpython-36.pyc │ │ │ ├── sentencepiece_bpe.cpython-36.pyc │ │ │ ├── space_tokenizer.cpython-36.pyc │ │ │ └── subword_nmt_bpe.cpython-36.pyc │ │ ├── fastbpe.py │ │ ├── gpt2_bpe.py │ │ ├── gpt2_bpe_utils.py │ │ ├── hf_bert_bpe.py │ │ ├── moses_tokenizer.py │ │ ├── nltk_tokenizer.py │ │ ├── sentencepiece_bpe.py │ │ ├── space_tokenizer.py │ │ └── subword_nmt_bpe.py │ ├── fairseq_dataset.py │ ├── fake_numel_dataset.py │ ├── id_dataset.py │ ├── indexed_dataset.py │ ├── iterators.py │ ├── ke_dataset.py │ ├── ke_negative_dataset.py │ ├── language_pair_dataset.py │ ├── legacy │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── block_pair_dataset.cpython-36.pyc │ │ │ ├── masked_lm_dataset.cpython-36.pyc │ │ │ └── masked_lm_dictionary.cpython-36.pyc │ │ ├── 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 │ ├── round_robin_zip_datasets.py │ ├── sharded_dataset.py │ ├── sort_dataset.py │ ├── strip_token_dataset.py │ ├── subsample_dataset.py │ ├── token_block_dataset.py │ ├── token_block_utils_fast.c │ ├── token_block_utils_fast.cpython-36m-x86_64-linux-gnu.so │ ├── token_block_utils_fast.pyx │ ├── transform_eos_dataset.py │ ├── transform_eos_lang_pair_dataset.py │ └── truncate_dataset.py ├── distributed_utils.py ├── file_utils.py ├── hub_utils.py ├── legacy_distributed_data_parallel.py ├── libbleu.cpython-36m-x86_64-linux-gnu.so ├── meters.py ├── models │ ├── .DS_Store │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── composite_encoder.cpython-36.pyc │ │ ├── distributed_fairseq_model.cpython-36.pyc │ │ ├── fairseq_decoder.cpython-36.pyc │ │ ├── fairseq_encoder.cpython-36.pyc │ │ ├── fairseq_incremental_decoder.cpython-36.pyc │ │ ├── fairseq_model.cpython-36.pyc │ │ ├── fconv.cpython-36.pyc │ │ ├── fconv_lm.cpython-36.pyc │ │ ├── fconv_self_att.cpython-36.pyc │ │ ├── lightconv.cpython-36.pyc │ │ ├── lightconv_lm.cpython-36.pyc │ │ ├── lstm.cpython-36.pyc │ │ ├── masked_lm.cpython-36.pyc │ │ ├── multilingual_transformer.cpython-36.pyc │ │ ├── transformer.cpython-36.pyc │ │ ├── transformer_from_pretrained_xlm.cpython-36.pyc │ │ ├── transformer_lm.cpython-36.pyc │ │ └── wav2vec.cpython-36.pyc │ ├── 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 │ ├── lightconv.py │ ├── lightconv_lm.py │ ├── lstm.py │ ├── masked_lm.py │ ├── multilingual_transformer.py │ ├── roberta │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── hub_interface.cpython-36.pyc │ │ │ └── model.cpython-36.pyc │ │ ├── alignment_utils.py │ │ ├── hub_interface.py │ │ └── model.py │ ├── transformer.py │ ├── transformer_from_pretrained_xlm.py │ ├── transformer_lm.py │ └── wav2vec.py ├── modules │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── adaptive_input.cpython-36.pyc │ │ ├── adaptive_softmax.cpython-36.pyc │ │ ├── beamable_mm.cpython-36.pyc │ │ ├── character_token_embedder.cpython-36.pyc │ │ ├── conv_tbc.cpython-36.pyc │ │ ├── downsampled_multihead_attention.cpython-36.pyc │ │ ├── dynamic_convolution.cpython-36.pyc │ │ ├── gelu.cpython-36.pyc │ │ ├── grad_multiply.cpython-36.pyc │ │ ├── highway.cpython-36.pyc │ │ ├── layer_norm.cpython-36.pyc │ │ ├── learned_positional_embedding.cpython-36.pyc │ │ ├── lightweight_convolution.cpython-36.pyc │ │ ├── linearized_convolution.cpython-36.pyc │ │ ├── logsumexp_moe.cpython-36.pyc │ │ ├── mean_pool_gating_network.cpython-36.pyc │ │ ├── multihead_attention.cpython-36.pyc │ │ ├── positional_embedding.cpython-36.pyc │ │ ├── scalar_bias.cpython-36.pyc │ │ ├── sinusoidal_positional_embedding.cpython-36.pyc │ │ ├── transformer_layer.cpython-36.pyc │ │ ├── transformer_sentence_encoder.cpython-36.pyc │ │ ├── transformer_sentence_encoder_layer.cpython-36.pyc │ │ ├── unfold.cpython-36.pyc │ │ └── vggblock.cpython-36.pyc │ ├── adaptive_input.py │ ├── adaptive_softmax.py │ ├── beamable_mm.py │ ├── character_token_embedder.py │ ├── conv_tbc.py │ ├── cuda_utils.cu │ ├── downsampled_multihead_attention.py │ ├── dynamic_convolution.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 │ ├── gelu.py │ ├── grad_multiply.py │ ├── highway.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 │ ├── logsumexp_moe.py │ ├── mean_pool_gating_network.py │ ├── multihead_attention.py │ ├── positional_embedding.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 ├── optim │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── adadelta.cpython-36.pyc │ │ ├── adafactor.cpython-36.pyc │ │ ├── adagrad.cpython-36.pyc │ │ ├── adam.cpython-36.pyc │ │ ├── adamax.cpython-36.pyc │ │ ├── bmuf.cpython-36.pyc │ │ ├── fairseq_optimizer.cpython-36.pyc │ │ ├── fp16_optimizer.cpython-36.pyc │ │ ├── nag.cpython-36.pyc │ │ └── sgd.cpython-36.pyc │ ├── adadelta.py │ ├── adafactor.py │ ├── adagrad.py │ ├── adam.py │ ├── adamax.py │ ├── bmuf.py │ ├── fairseq_optimizer.py │ ├── fp16_optimizer.py │ ├── lr_scheduler │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── cosine_lr_scheduler.cpython-36.pyc │ │ │ ├── fairseq_lr_scheduler.cpython-36.pyc │ │ │ ├── fixed_schedule.cpython-36.pyc │ │ │ ├── inverse_square_root_schedule.cpython-36.pyc │ │ │ ├── polynomial_decay_schedule.cpython-36.pyc │ │ │ ├── reduce_lr_on_plateau.cpython-36.pyc │ │ │ ├── tri_stage_lr_scheduler.cpython-36.pyc │ │ │ └── triangular_lr_scheduler.cpython-36.pyc │ │ ├── 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 ├── progress_bar.py ├── registry.py ├── search.py ├── sequence_generator.py ├── sequence_scorer.py ├── tasks │ ├── MLMetKE.py │ ├── __init__.py │ ├── __pycache__ │ │ ├── MLMetKE.cpython-36.pyc │ │ ├── __init__.cpython-36.pyc │ │ ├── audio_pretraining.cpython-36.pyc │ │ ├── cross_lingual_lm.cpython-36.pyc │ │ ├── fairseq_task.cpython-36.pyc │ │ ├── language_modeling.cpython-36.pyc │ │ ├── legacy_masked_lm.cpython-36.pyc │ │ ├── masked_lm.cpython-36.pyc │ │ ├── multilingual_translation.cpython-36.pyc │ │ ├── semisupervised_translation.cpython-36.pyc │ │ ├── sentence_prediction.cpython-36.pyc │ │ ├── sentence_ranking.cpython-36.pyc │ │ ├── tacred_task.cpython-36.pyc │ │ ├── translation.cpython-36.pyc │ │ ├── translation_from_pretrained_xlm.cpython-36.pyc │ │ └── translation_moe.cpython-36.pyc │ ├── audio_pretraining.py │ ├── cross_lingual_lm.py │ ├── fairseq_task.py │ ├── language_modeling.py │ ├── legacy_masked_lm.py │ ├── masked_lm.py │ ├── multilingual_translation.py │ ├── semisupervised_translation.py │ ├── sentence_prediction.py │ ├── sentence_ranking.py │ ├── tacred_task.py │ ├── translation.py │ ├── translation_from_pretrained_xlm.py │ └── translation_moe.py ├── tokenizer.py ├── trainer.py └── utils.py ├── fairseqREADME.md ├── fairseq_cli ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ └── preprocess.cpython-36.pyc ├── eval_lm.py ├── generate.py ├── interactive.py ├── preprocess.py ├── score.py ├── setup.py └── train.py ├── fairseq_logo.png ├── generate.py ├── graphvite ├── .gitignore ├── CHANGELOG.md ├── CMakeLists.txt ├── LICENSE ├── README.md ├── asset │ ├── graph.png │ ├── knowledge_graph.png │ ├── logo │ │ ├── favicon.ico │ │ └── logo.png │ ├── visualization.png │ └── visualization │ │ ├── imagenet_hierarchy.gif │ │ └── mnist_3d.gif ├── cmake │ ├── FindGFlags.cmake │ ├── FindGlog.cmake │ └── FindPythonLibsNew.cmake ├── conda │ ├── conda_build_config.yaml │ ├── graphvite-mini │ │ ├── build.sh │ │ └── meta.yaml │ ├── graphvite │ │ ├── build.sh │ │ └── meta.yaml │ └── requirements.txt ├── config │ ├── demo │ │ ├── math.yaml │ │ └── quick_start.yaml │ ├── graph │ │ ├── deepwalk_flickr.yaml │ │ ├── deepwalk_friendster-small.yaml │ │ ├── deepwalk_friendster.yaml │ │ ├── deepwalk_hyperlink-pld.yaml │ │ ├── deepwalk_youtube.yaml │ │ ├── line_flickr.yaml │ │ ├── line_friendster-small.yaml │ │ ├── line_friendster.yaml │ │ ├── line_hyperlink-pld.yaml │ │ ├── line_youtube.yaml │ │ └── node2vec_youtube.yaml │ ├── knowledge_graph │ │ ├── complex_fb15k-237.yaml │ │ ├── complex_fb15k.yaml │ │ ├── complex_wikidata5m.yaml │ │ ├── complex_wn18.yaml │ │ ├── complex_wn18rr.yaml │ │ ├── distmult_fb15k-237.yaml │ │ ├── distmult_fb15k.yaml │ │ ├── distmult_wikidata5m.yaml │ │ ├── distmult_wn18.yaml │ │ ├── distmult_wn18rr.yaml │ │ ├── rotate_fb15k-237.yaml │ │ ├── rotate_fb15k.yaml │ │ ├── rotate_wikidata5m.yaml │ │ ├── rotate_wn18.yaml │ │ ├── rotate_wn18rr.yaml │ │ ├── simple_fb15k-237.yaml │ │ ├── simple_fb15k.yaml │ │ ├── simple_wikidata5m.yaml │ │ ├── simple_wn18.yaml │ │ ├── simple_wn18rr.yaml │ │ ├── transe_fb15k-237.yaml │ │ ├── transe_fb15k.yaml │ │ ├── transe_wikidata5m.yaml │ │ ├── transe_wn18.yaml │ │ └── transe_wn18rr.yaml │ ├── template │ │ ├── graph.yaml │ │ ├── knowledge_graph.yaml │ │ ├── visualization.yaml │ │ └── word_graph.yaml │ ├── visualization │ │ ├── largevis_imagenet.yaml │ │ ├── largevis_mnist_2d.yaml │ │ └── largevis_mnist_3d.yaml │ └── word_graph │ │ └── line_wikipedia.yaml ├── doc │ ├── Makefile │ └── source │ │ ├── api │ │ ├── application.rst │ │ ├── dataset.rst │ │ ├── graph.rst │ │ ├── optimizer.rst │ │ └── solver.rst │ │ ├── benchmark.rst │ │ ├── conf.py │ │ ├── developer │ │ ├── framework.rst │ │ ├── model.rst │ │ ├── routine.rst │ │ └── solver.rst │ │ ├── faq.rst │ │ ├── index.rst │ │ ├── install.rst │ │ ├── introduction.rst │ │ ├── link.rst │ │ ├── overview.rst │ │ ├── pretrained_model.rst │ │ ├── quick_start.rst │ │ └── user │ │ ├── auto.rst │ │ ├── command_line.rst │ │ ├── configuration.rst │ │ ├── format.rst │ │ └── python.rst ├── external │ └── .gitignore ├── include │ ├── base │ │ ├── alias_table.cuh │ │ ├── memory.h │ │ └── vector.h │ ├── bind.h │ ├── core │ │ ├── graph.h │ │ ├── optimizer.h │ │ └── solver.h │ └── util │ │ ├── common.h │ │ ├── debug.h │ │ ├── gpu.cuh │ │ ├── io.h │ │ ├── math.h │ │ └── time.h ├── python │ ├── graphvite │ │ ├── __init__.py │ │ ├── application │ │ │ ├── __init__.py │ │ │ ├── application.py │ │ │ └── network.py │ │ ├── base.py │ │ ├── cmd.py │ │ ├── dataset.py │ │ ├── graph.py │ │ ├── helper.py │ │ ├── optimizer.py │ │ ├── solver.py │ │ └── util.py │ └── setup.py └── src │ ├── CMakeLists.txt │ └── graphvite.cu ├── hubconf.py ├── interactive.py ├── ke_tool ├── evaluate_transe_inductive.py └── evaluate_transe_transductive.py ├── preprocess.py ├── 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 ├── wav2vec_featurize.py └── wav2vec_manifest.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_character_token_embedder.py ├── test_concat_dataset.py ├── test_convtbc.py ├── test_dictionary.py ├── test_iterators.py ├── test_label_smoothing.py ├── test_memory_efficient_fp16.py ├── test_multi_corpus_sampled_dataset.py ├── test_noising.py ├── test_reproducibility.py ├── test_sequence_generator.py ├── test_sequence_scorer.py ├── test_sparse_multihead_attention.py ├── test_token_block_dataset.py ├── test_train.py ├── test_utils.py └── 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