├── .DS_Store ├── .gitignore ├── .idea ├── BERT.iml ├── libraries │ └── R_User_Library.xml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── BERT-keras-master └── BERT-keras-master │ ├── .gitignore │ ├── .gitmodules │ ├── LICENSE │ ├── README.md │ ├── __init__.py │ ├── data │ ├── dataset.py │ ├── lm_dataset.py │ └── vocab.py │ ├── tests │ ├── test_data.py │ └── test_transformer.py │ └── transformer │ ├── embedding.py │ ├── funcs.py │ ├── layers.py │ ├── model.py │ └── train.py ├── BERT-pytorch └── BERT-pytorch │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── bert_pytorch │ ├── __init__.py │ ├── __main__.py │ ├── dataset │ │ ├── __init__.py │ │ ├── dataset.py │ │ └── vocab.py │ ├── model │ │ ├── __init__.py │ │ ├── attention │ │ │ ├── __init__.py │ │ │ ├── multi_head.py │ │ │ └── single.py │ │ ├── bert.py │ │ ├── embedding │ │ │ ├── __init__.py │ │ │ ├── bert.py │ │ │ ├── position.py │ │ │ ├── segment.py │ │ │ └── token.py │ │ ├── language_model.py │ │ ├── transformer.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── feed_forward.py │ │ │ ├── gelu.py │ │ │ ├── layer_norm.py │ │ │ └── sublayer.py │ └── trainer │ │ ├── __init__.py │ │ ├── optim_schedule.py │ │ └── pretrain.py │ ├── requirements.txt │ ├── setup.py │ └── test.py ├── Dockerfile ├── LICENSE ├── README.md ├── __init__.py ├── bert-master ├── .gitignore ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── __init__.py ├── create_pretrain_data.sh ├── create_pretraining_data.py ├── extract_features.py ├── modeling.py ├── modeling_test.py ├── multilingual.md ├── optimization.py ├── optimization_test.py ├── requirements.txt ├── run_classifier.py ├── run_gaode_export.py ├── run_gaode_export.sh ├── run_pretraining.py ├── run_squad.py ├── sample_text.txt ├── sh_run_classifier.sh ├── tokenization.py └── tokenization_test.py ├── bert_language_understanding-master └── bert_language_understanding-master │ ├── README.md │ ├── __init__.py │ ├── data │ ├── aa1.jpeg │ ├── aa2.jpeg │ ├── aa3.jpeg │ ├── aa4.jpeg │ ├── bert_test.txt │ ├── bert_train.txt │ ├── bert_valid.txt │ ├── fine_tuning.jpeg │ ├── old │ │ ├── train_valid_test.h5 │ │ └── vocab_label.pik │ └── pretrain_lm.jpeg │ ├── data_util_hdf5.py │ ├── evaluation_matrix.py │ ├── model │ ├── __init__.py │ ├── base_model.py │ ├── bert_cnn_model.py │ ├── bert_model.py │ ├── config.py │ ├── config_transformer.py │ ├── encoder.py │ ├── layer_norm_residual_conn.py │ ├── multi_head_attention.py │ ├── poistion_wise_feed_forward.py │ └── transfomer_model.py │ ├── pretrain_bert_cnn_lm.sh │ ├── pretrain_task.py │ ├── temp_covert.py │ ├── train_bert_fine_tuning.py │ ├── train_bert_lm.py │ ├── train_bert_transformer.sh │ └── train_transform.py ├── config └── supervisord.conf ├── copy_data.sh ├── data ├── albert_official │ ├── albert_config_base.json │ └── vocab_chinese_base.txt ├── cased_L-12_H-768_A-12 │ ├── bert_config.json │ ├── bert_config_tiny.json │ └── vocab.txt ├── chinese_L-12_H-768_A-12 │ ├── aug_vocab.txt │ ├── aug_vocab_confusion_id.txt │ ├── aug_vocab_confusion_id_mask.txt │ ├── bert_config.json │ ├── bert_config_distill.json │ ├── glyph_sim_chars_confirmed.json │ ├── pronunciation_dict_non_tone.json │ ├── ugc_aug_vocab.txt │ ├── ugc_aug_vocab.zip │ ├── ugc_aug_vocab_confusion_id.txt │ ├── ugc_aug_vocab_confusion_id_mask.txt │ ├── vocab.txt │ ├── vocab_adv_augment.txt │ ├── vocab_adv_augment_confusion_id_mask_v1.txt │ ├── vocab_adv_augment_confusion_id_v1.txt │ ├── vocab_confusion_id.txt │ └── vocab_confusion_id_mask.txt ├── electra │ ├── discriminator │ │ ├── albert_config_base.json │ │ ├── albert_config_tiny.json │ │ ├── bert_config.json │ │ ├── bert_config_small.json │ │ └── bert_config_tiny.json │ └── generator │ │ ├── albert_config_base.json │ │ ├── albert_config_small.json │ │ ├── albert_config_tiny.json │ │ ├── bert_config.json │ │ ├── bert_config_small.json │ │ └── bert_config_tiny.json ├── electra_share_embedding │ ├── discriminator │ │ ├── albert_config_base.json │ │ ├── albert_config_tiny.json │ │ ├── bert_config.json │ │ ├── bert_config_small.json │ │ ├── bert_config_tiny.json │ │ ├── bert_config_tiny_embed_sharing.json │ │ ├── bert_config_tiny_embed_sharing_uncased.json │ │ ├── bert_config_tiny_embed_uncased.json │ │ ├── bert_config_tiny_large_embed.json │ │ ├── bert_config_tiny_large_embed_sharing.json │ │ ├── bert_config_tiny_scratch.json │ │ ├── electra_config_tiny.json │ │ └── electra_config_tiny_uncased.json │ └── generator │ │ ├── albert_config_base.json │ │ ├── albert_config_small.json │ │ ├── albert_config_tiny.json │ │ ├── bert_config.json │ │ ├── bert_config_small.json │ │ ├── bert_config_tiny.json │ │ ├── bert_config_tiny_embed_sharing.json │ │ ├── bert_config_tiny_embed_sharing_uncased.json │ │ ├── bert_config_tiny_embed_uncased.json │ │ ├── bert_config_tiny_large_embed.json │ │ ├── bert_config_tiny_large_embed_sharing.json │ │ ├── bert_config_tiny_scratch.json │ │ ├── electra_config_tiny.json │ │ └── electra_config_tiny_uncased.json ├── funnel_transformer │ ├── net_config_base.json │ ├── net_config_base_chinese_mlm.json │ ├── net_config_small_chinese.json │ ├── net_config_small_chinese_enc_dec.json │ ├── net_config_small_chinese_enc_dec_no_skip.json │ ├── net_config_small_chinese_enc_dec_no_skip_denoise_mlm.json │ ├── net_config_small_chinese_enc_dec_no_skip_denoise_mlm_uncased_english.json │ ├── net_config_small_chinese_enc_dec_no_skip_masked.json │ ├── net_config_small_chinese_enc_dec_no_skip_text_infilling.json │ ├── net_config_small_chinese_enc_dec_no_skip_uncased_english.json │ ├── net_config_tiny_chinese.json │ └── net_config_tiny_chinese_enc_dec.json ├── gpt │ ├── gpt_config.json │ └── vocab.txt ├── green │ └── label_dict.json ├── jd_comment │ └── label_dict.json ├── lazada_multilingual │ ├── label_dict.json │ └── label_dict_mapping.json ├── lcqmc │ ├── label_dict.json │ └── xnli.json ├── match_pyramid │ └── match_pyramid.json ├── multi_cased_L-12_H-768_A-12 │ ├── bert_config.json │ ├── bert_config_tiny.json │ ├── bert_config_tiny_embedding.json │ └── vocab.txt ├── politics │ ├── label_dict.json │ └── rule_type ├── porn │ ├── label_dict.json │ └── rule_type ├── product_risk │ ├── 6757 │ │ └── label_dict.json │ └── multi_class │ │ └── product_risk_label_dict.json ├── qqp │ └── label_dict.json ├── roberta_zh_l12 │ ├── bert_config.json │ ├── bert_config_base_official_conv.json │ ├── bert_config_fixed_attention_size.json │ ├── bert_config_small.json │ ├── bert_config_small_conv.json │ ├── bert_config_small_conv_v1.json │ ├── bert_config_small_conv_v2.json │ ├── bert_config_small_official_conv.json │ ├── bert_config_small_official_conv_5.json │ ├── bert_config_small_structural_attention.json │ ├── bert_config_tiny.json │ ├── bert_config_tiny_1_layer.json │ ├── bert_config_tiny_384.json │ ├── bert_config_tiny_aug_vocab.json │ ├── bert_config_tiny_conv.json │ ├── bert_config_tiny_conv_v1.json │ ├── bert_config_tiny_conv_v2.json │ ├── bert_config_tiny_entmax.json │ ├── bert_config_tiny_fixed_attention_size.json │ ├── bert_config_tiny_informer.json │ ├── bert_config_tiny_official_conv.json │ ├── bert_config_tiny_official_conv_5.json │ ├── bert_config_tiny_official_conv_dot.json │ ├── bert_config_tiny_structural_attention.json │ ├── bert_config_xtiny_2.json │ ├── bert_congit_xtiny.json │ └── vocab.txt ├── roberta_zh_l12_albert │ ├── albert_config_tiny.json │ ├── albert_official_tiny.json │ ├── bert_config_base.json │ ├── bert_config_tiny.json │ ├── bert_config_tiny_non_factorized.json │ └── vocab.txt ├── roeberta_zh_L-24_H-768_A-12 │ ├── bert_config_middle.json │ └── vocab.txt ├── sentence_embedding │ ├── textcnn │ │ └── textcnn.json │ └── textlstm │ │ └── textlstm.json ├── sgcc │ └── label_dict.json ├── textcnn │ ├── gated_cnn_seq.json │ ├── text_chinese_embedding_light_dgcnn_v1_bi_tiny_aug.json │ ├── textcnn.json │ ├── textcnn_chinese_emebdding_light_dgcnn_v1_bi_small.json │ ├── textcnn_chinese_emebdding_light_dgcnn_v1_bi_tiny.json │ ├── textcnn_chinese_light_dynamic_dgcnn_v1.json │ ├── textcnn_multilingual_embedding.json │ ├── textcnn_multilingual_embedding_cpc.json │ ├── textcnn_multilingual_embedding_dgcnn.json │ ├── textcnn_multilingual_embedding_light_dgcnn.json │ ├── textcnn_multilingual_embedding_light_dgcnn_v1.json │ ├── textcnn_multilingual_embedding_light_dgcnn_v1_bi.json │ ├── textcnn_multilingual_embedding_light_dgcnn_v1_bi_v1_small.json │ └── textcnn_multilingual_embedding_light_dgcnn_v1_bi_v1_xsmall.json ├── textcnn_feature_distillation │ └── textcnn.json ├── textlstm │ └── textlstm.json ├── uncased_L-12_H-768_A-12 │ ├── bert_config.json │ ├── bert_config_small.json │ ├── bert_config_tiny.json │ └── vocab.txt ├── uncased_L-4_H-256_A-4 │ ├── bert_config.json │ └── vocab.txt └── xlm │ ├── xlm-roberta-base-sentencepiece.bpe.model │ └── xlm_tiny_config.json ├── distributed_horovod_master.sh ├── distributed_horovod_slave.sh ├── init.sh ├── install_requirements.txt ├── nohup.out ├── requirements.txt ├── run.sh ├── run_horovod.sh ├── run_horovod_1_4.sh ├── run_tf_1_11.sh ├── run_tf_2.7.sh ├── run_tfgpu_docker_1_15.sh ├── shadowsocks ├── t2t_bert ├── .2C802669-3F2F-4C16-BA6A-F45AFEEAAA4E-410-000049A87FD26E0A ├── __init__.py ├── adversial │ ├── __init__.py │ ├── adv_wsdm_train.py │ ├── adv_wsdm_train.sh │ ├── adversial_utils.py │ ├── base_model.py │ ├── eval_adv_wsdm.py │ ├── eval_adv_wsdm.sh │ ├── official_adv_wsdm.py │ └── official_adv_wsdm.sh ├── app │ ├── __init__.py │ ├── event_predict.py │ ├── event_predict_v1.py │ ├── infer.py │ └── sentiment_predict.py ├── auto_ssh_key.sh ├── bert_rule │ ├── __init__.py │ ├── bert_rule_classifier.py │ ├── classifier_processor.py │ ├── flash_text.py │ └── write_to_tfrecords.py ├── bunch │ ├── __init__.py │ └── python3_compat.py ├── chid_nlpcc2019 │ ├── __init__.py │ ├── all_reduce.sh │ ├── chid_eval │ ├── chid_export │ ├── chid_parameter │ ├── chid_parameter_crf │ ├── chid_parameter_robusta_12 │ ├── chid_parameter_robusta_12_crf │ ├── chid_parameter_robusta_12_sent │ ├── chid_parameter_robusta_12_sent_collective │ ├── chid_parameter_roeberta │ ├── collective_reduce.sh │ ├── eval_estimator.py │ ├── export.py │ ├── export.sh │ ├── export_api.py │ ├── model_batch_infer.py │ ├── model_fn.py │ ├── model_fn_crf.py │ ├── model_infer.py │ ├── model_infer.sh │ ├── out_script.py │ ├── output_script_test.py │ ├── pai_collective_reduce.sh │ ├── pai_export.sh │ ├── pai_tensorboard.sh │ ├── pai_train.sh │ ├── run_export.sh │ ├── run_infer.py │ └── run_tensorboard.sh ├── chinese_benchmark │ ├── __init__.py │ └── classifier_processor.py ├── data_augmentation │ └── __init__.py ├── data_generator │ ├── __init__.py │ ├── create_bert_pretrain_dataset_efficiency.py │ ├── create_bert_pretrain_dataset_efficiency_nlm.py │ ├── create_keyword_pretrain_dataset_efficiency.py │ ├── create_pretrain_dataset_efficiency_sample_class.py │ ├── create_span_bert_pretrain_dataset_efficiency.py │ ├── create_youku_bert_pretrain_dataset_efficiency.py │ ├── create_youku_supervised_dataset.py │ ├── data_adv_adaptation.py │ ├── data_distillation_feature_classifier.py │ ├── data_distillation_input_classifier.py │ ├── data_feature_classifier.py │ ├── data_feature_mrc.py │ ├── data_processor.py │ ├── data_structure_distillation.py │ ├── distributed_tf_data_utils.py │ ├── es_indexing.py │ ├── extra_mask_feature_classifier.py │ ├── flash_text.py │ ├── funnel_tokenization.py │ ├── get_w2v_from_model.py │ ├── hvd_distributed_tf_data_utils.py │ ├── load_w2v.py │ ├── my_create_pretrain_data.py │ ├── nlm_utils.py │ ├── pai_data_utils.py │ ├── pair_data_feature_classifier.py │ ├── postprocess.py │ ├── prepare_data.py │ ├── pretrain_chazi_embedding.py │ ├── pretrain_feature.py │ ├── pretrain_yinpin_embedding.py │ ├── rule_detector.py │ ├── tf_data_utils.py │ ├── tf_data_utils_confusion_set.py │ ├── tf_pretrain_data_utils.py │ ├── tokenization.py │ ├── untitled.py │ └── vocab_filter.py ├── data_prepare │ └── __init__.py ├── dataset_generator │ ├── __init__.py │ ├── create_cls_problem_generator.py │ ├── create_generator.py │ ├── create_masked_lm_generator.py │ ├── create_pretrain_generator.py │ ├── data_reader.py │ ├── dataset_utils.py │ ├── generator_test.ipynb.invalid │ ├── input_fn.py │ ├── problem_generator.py │ ├── write2tfrecords.sh │ └── write_to_tfrecords.py ├── distillation │ ├── __init__.py │ ├── cpc_utils.py │ ├── crd_distillation.py │ ├── daan_distillation_utils.py │ ├── distillation_utils.py │ ├── flip_gradient.py │ ├── homm_utils.py │ ├── kdgan_distillation.py │ ├── knowledge_distillation.py │ ├── mdd_utils.py │ ├── relation_kd_utils.py │ ├── repo_distillation_utils.py │ ├── repo_opt_utils.py │ ├── svp.py │ └── uniform_mapping.py ├── distributed │ ├── __init__.py │ ├── examples │ │ ├── __init__.py │ │ ├── distributed_test.sh │ │ ├── test_hornord_distributed.py │ │ ├── test_horovod_data_iterator.py │ │ └── test_model_distributed.py │ ├── uber_hvd_test.sh │ └── uber_mnist_estimator.py ├── distributed_bin │ ├── __init__.py │ ├── albert_brightmart_tpu.sh │ ├── all_reduce_train_eval_api.py │ ├── collective_reduce_train_eval_api.py │ ├── evaluate_api.py │ ├── export.py │ ├── export.sh │ ├── export_api.py │ ├── hvd_api.sh │ ├── hvd_evaluate.sh │ ├── hvd_train_eval_api.py │ ├── hvd_train_eval_api_v1.py │ ├── iterate_evaluation.py │ ├── local_train_eval_api.py │ ├── module_test.py │ ├── monitor_evaluation.py │ ├── ps_train_eval_api.py │ ├── requirements.txt │ ├── soar_train_eval_api.py │ ├── tensorflow_severing.sh │ ├── tf_serving_api.py │ ├── tpu_pretrain_bert_base_eval_script.sh │ ├── tpu_pretrain_bert_base_green.sh │ ├── tpu_pretrain_bert_base_random_script.sh │ ├── tpu_pretrain_bert_base_script_convbert.sh │ ├── tpu_pretrain_bert_eval_script.sh │ ├── tpu_pretrain_bert_rela_attn_base.sh │ ├── tpu_pretrain_bert_script.sh │ ├── tpu_pretrain_bert_seq_base.sh │ ├── tpu_pretrain_bert_seq_tiny.sh │ ├── tpu_pretrain_bert_seq_tiny_english.sh │ ├── tpu_pretrain_bert_seq_tiny_english_eval.sh │ ├── tpu_pretrain_bert_seq_tiny_eval.sh │ ├── tpu_pretrain_bert_small_script.sh │ ├── tpu_pretrain_bert_small_script_convbert.sh │ ├── tpu_pretrain_bert_small_script_convbert_v1.sh │ ├── tpu_pretrain_bert_small_script_convbert_v2.sh │ ├── tpu_pretrain_bert_small_script_english.sh │ ├── tpu_pretrain_bert_small_script_structural_attention.sh │ ├── tpu_pretrain_bert_tiny_eval_script.sh │ ├── tpu_pretrain_bert_tiny_green.sh │ ├── tpu_pretrain_bert_tiny_green_eval.sh │ ├── tpu_pretrain_bert_tiny_rela_attn.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_base.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec_small.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec_small_denoise_mlm.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec_small_denoise_mlm_uncased_english.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec_small_infilling.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec_small_masked.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_enc_dec_small_uncased_english.sh │ ├── tpu_pretrain_bert_tiny_rela_attn_small.sh │ ├── tpu_pretrain_bert_tiny_script.sh │ ├── tpu_pretrain_bert_tiny_script_aug.sh │ ├── tpu_pretrain_bert_tiny_script_convbert.sh │ ├── tpu_pretrain_bert_tiny_script_convbert_dot.sh │ ├── tpu_pretrain_bert_tiny_script_convbert_v1.sh │ ├── tpu_pretrain_bert_tiny_script_convbert_v2.sh │ ├── tpu_pretrain_bert_tiny_script_english.sh │ ├── tpu_pretrain_bert_tiny_script_entmax.sh │ ├── tpu_pretrain_bert_tiny_script_hard_attention.sh │ ├── tpu_pretrain_bert_tiny_script_tructural_attention.sh │ ├── tpu_pretrain_bert_tiny_script_xlm.sh │ ├── tpu_pretrain_bert_tiny_simsclr_script.sh │ ├── tpu_pretrain_bert_xinty_2_script.sh │ ├── tpu_pretrain_dynamic_gatedcnn_none_casual.sh │ ├── tpu_pretrain_ebm_fce_chinese.sh │ ├── tpu_pretrain_ebm_fce_chinese_base.sh │ ├── tpu_pretrain_ebm_fce_uncased.sh │ ├── tpu_pretrain_ebm_fce_uncased_base.sh │ ├── tpu_pretrain_electra_eval_script.sh │ ├── tpu_pretrain_electra_joint_gumbel_nce.sh │ ├── tpu_pretrain_electra_joint_gumbel_nce_eval.sh │ ├── tpu_pretrain_electra_joint_gumbel_script.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_eval.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_base.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_base_local_mask.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_eval.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_grl_st.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_grl_st_english_uncased.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_grl_st_eval.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group_eval.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group_eval_st.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group_small.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group_st.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group_st_english_uncased.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_group_st_eval.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_relgan.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_relgan_st.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_no_sharing_pretrain_embed_relgan_st_english_uncased.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_op_disc.sh │ ├── tpu_pretrain_electra_joint_gumbel_script_opt.sh │ ├── tpu_pretrain_electra_joint_script.sh │ ├── tpu_pretrain_electra_joint_script_no_sharing_pretrain_embed.sh │ ├── tpu_pretrain_electra_joint_script_no_sharing_pretrain_embed_eval.sh │ ├── tpu_pretrain_electra_joint_script_no_sharing_pretrain_embed_small.sh │ ├── tpu_pretrain_electra_script.sh │ ├── tpu_pretrain_eval_script.sh │ ├── tpu_pretrain_gatedcnn.sh │ ├── tpu_pretrain_gatedcnn_none_casual.sh │ ├── tpu_pretrain_gatedcnn_none_casual_small.sh │ ├── tpu_pretrain_gatedcnn_none_casual_tiny.sh │ ├── tpu_pretrain_gatedcnn_none_casual_tiny_aug.sh │ ├── tpu_pretrain_roberta_xlm_tiny.sh │ ├── tpu_pretrain_script.sh │ └── tpu_train_eval_api.py ├── distributed_data_prepare │ ├── __init__.py │ ├── bert_classification_chnsenti.sh │ ├── bert_classification_data_prepare.sh │ ├── bert_classification_data_prepare_abuse.sh │ ├── bert_classification_data_prepare_disu.sh │ ├── bert_classification_data_prepare_fake_news.sh │ ├── bert_classification_data_prepare_lazada.sh │ ├── bert_classification_data_prepare_lazada_adv_adaptation.sh │ ├── bert_classification_data_prepare_lcqmc.sh │ ├── bert_classification_data_prepare_porn.sh │ ├── bert_classification_data_prepare_xnli.sh │ ├── bert_classification_prepare.py │ ├── bert_classification_ssm_data_prepare.sh │ ├── bert_distillation_data_prepare.py │ ├── bert_mrc_search_data_preapre.sh │ ├── bert_pair_classification_prepare.py │ ├── bert_pair_data_prepare.sh │ ├── bert_pretrain_efficiency_prepare.sh │ ├── bert_pretrain_efficiency_prepare_nlm.sh │ ├── bert_pretrain_prepare.sh │ ├── bert_span_pretrain_effciency_prepare.sh │ ├── bert_span_pretrain_effciency_prepare_english.sh │ ├── chinese_adv_paws.sh │ ├── classification_data_prepare.py │ ├── classification_distillation_data_prepare.py │ ├── data_distilaltion_prepare.sh │ ├── data_distillation_prepare_chenxi_disu.sh │ ├── data_distillation_prepare_lazada.sh │ ├── data_prepare.sh │ ├── data_prepare_data_security.sh │ ├── data_prepare_lazada.sh │ ├── feature_reader.py │ ├── language_model_data_prepare.py │ ├── language_model_data_prepare.sh │ ├── multitask_classification_data_prepare.py │ ├── multitask_classification_train_merged.py │ ├── multitask_data_prepare.sh │ ├── multitask_traindata_prepare.sh │ ├── pair_classification_data_prepare.py │ ├── pair_data_prepare.sh │ ├── pair_distillation_data_prepare.sh │ ├── pair_distillation_data_prepare_qqp.sh │ ├── pair_distillation_lcqmc_multlingual.sh │ ├── pair_distillation_multilingual_data_prepare.sh │ ├── spm_tokenization.py │ ├── spm_tokenization.sh │ ├── spm_train.py │ └── spm_train.sh ├── distributed_distillation │ ├── __init__.py │ ├── all_reduce.sh │ ├── co_teaching_model_fn.py │ ├── collective_reduce.sh │ ├── distillation_config.json │ ├── distillation_model_fn.py │ ├── distillation_multistep_model_fn.py │ ├── distillation_pretrain_config.json │ ├── distillation_pretrain_model_fn.py │ ├── knolwedge_distillation_config.json │ ├── knowledge_distillation_multilingual_sst │ ├── knowledge_distillation_pretrain.json │ ├── knowledge_distillation_train │ ├── knowledge_distillation_train_porn │ ├── knowledge_distillation_train_porn_collective │ ├── knowledge_distillation_train_xnli │ ├── pai_collective_reduce.sh │ ├── pai_tensorboard.sh │ ├── pai_train.sh │ ├── pretrain_distillation_multilingual_sentence_embedding │ ├── pretrain_distillation_multilingual_sst │ ├── run_tensorboard.sh │ ├── student_model_fn.py │ ├── student_model_pretrain_fn.py │ ├── teacher_model_fn.py │ ├── teacher_model_pretrain_fn.py │ ├── train_eval.py │ └── train_eval_estimator_fn.py ├── distributed_encoder │ ├── __init__.py │ ├── bert_encoder.py │ ├── classifynet_encoder.py │ ├── gpt_encoder.py │ └── interaction_encoder.py ├── distributed_gpt │ ├── __init__.py │ ├── all_reduce.sh │ ├── export.py │ ├── export.sh │ ├── export_api.py │ ├── gpt_product_lm_export │ ├── gpt_product_title │ ├── model_fn.py │ ├── pai_export.sh │ ├── pai_tensorboard.sh │ ├── pai_train.sh │ ├── run_export.sh │ └── run_tensorboard.sh ├── distributed_multichoice_classification │ ├── __init__.py │ └── bert_model_fn.py ├── distributed_multitask │ ├── :notebooks:source:MNN:build:MNNConvert -f TF --mod │ ├── __init__.py │ ├── all_reduce │ ├── all_reduce.sh │ ├── all_reduce_adv.sh │ ├── all_reduce_lm.sh │ ├── all_reduce_single_task.sh │ ├── cls_task.py │ ├── embed_cpc_task.py │ ├── embed_cpc_task_v1.py │ ├── embed_task.py │ ├── eval_sess_fn.py │ ├── export_api.py │ ├── export_chinese_brand_name_cpc │ ├── export_model.py │ ├── export_model_fn.py │ ├── export_multilingual_light_embedding │ ├── export_multilingual_light_embedding_cpc │ ├── export_multilingual_light_embedding_new │ ├── export_pai.sh │ ├── hvd_api.sh │ ├── hvd_evaluate.sh │ ├── hvd_train_eval.py │ ├── hvd_train_eval_api.py │ ├── input_fn.py │ ├── model_config_parser.py │ ├── model_data_interface.py │ ├── multi_task.json │ ├── multi_task_embedding.json │ ├── multi_task_eval.json │ ├── multi_task_eval_local.json │ ├── multi_task_lm.json │ ├── multi_task_local.json │ ├── multi_task_local_single_task.json │ ├── multitask_embedding.json │ ├── multitask_embedding_new.json │ ├── multitask_eval │ ├── multitask_model_fn.py │ ├── multitask_model_fn_tmp.py │ ├── multitask_train_adv │ ├── multitask_train_brand_search_cpc │ ├── multitask_train_brand_search_cpc_dgcnn │ ├── multitask_train_embedding │ ├── multitask_train_embedding_cpc_mbert │ ├── multitask_train_embedding_cpc_new │ ├── multitask_train_embedding_new │ ├── multitask_train_lm │ ├── pai_evaluate.sh │ ├── pai_export.sh │ ├── pai_single_task_evaluate.sh │ ├── pai_single_task_train.sh │ ├── pai_tensorboard.sh │ ├── pai_train.sh │ ├── pai_train_adv.sh │ ├── pai_train_lm.sh │ ├── python ..:src:frozen_graph.py --saved_model_dir :d │ ├── regression_task.py │ ├── run_tensorboard.sh │ ├── sess_evaluate.sh │ ├── sess_evaluate_single_task.sh │ ├── single_task.json │ ├── single_task_eval │ ├── single_task_eval.json │ ├── single_task_lm.json │ ├── single_task_train │ ├── singletask_mnli_embedding_cpc_new.json │ ├── singletask_mnli_embedding_cpc_new_ligth_gs.json │ ├── singletask_mnli_embedding_new.json │ ├── singletask_mnli_embedding_new_light.json │ ├── singletask_mnli_embedding_new_light_v1.json │ ├── singletask_mnli_embedding_new_light_v1_small.json │ ├── singletask_mnli_sentence_embeding_mbert.json │ ├── ssl_task.py │ ├── test_data_iterator.py │ ├── test_model_fn.py │ ├── train_eval.py │ ├── train_eval_estimator_fn.py │ ├── train_eval_sess_fn.py │ └── vae_task.py ├── distributed_multitask_0LD1 │ ├── __init__.py │ ├── all_reduce │ ├── all_reduce.sh │ ├── cls_task.py │ ├── eval_sess_fn.py │ ├── hvd_api.sh │ ├── hvd_evaluate.sh │ ├── hvd_train_eval.py │ ├── hvd_train_eval_api.py │ ├── model_config_parser.py │ ├── model_data_interface.py │ ├── multi_task.json │ ├── multi_task_eval.json │ ├── multi_task_eval_local.json │ ├── multitask_eval │ ├── multitask_model_fn.py │ ├── multitask_train │ ├── pai_evaluate.sh │ ├── pai_single_task_train.sh │ ├── pai_train.sh │ ├── pai_train_adv.sh │ ├── sess_evaluate.sh │ ├── test_data_iterator.py │ ├── train_eval.py │ ├── train_eval_estimator_fn.py │ └── train_eval_sess_fn.py ├── distributed_pair_sentence_classification │ ├── __init__.py │ ├── all_reduce.sh │ ├── bert_esim_model_fn.py │ ├── bert_lcqmc │ ├── bert_lcqmc_eval │ ├── bert_model_cls.py │ ├── bert_model_fn.py │ ├── bert_qqp │ ├── bert_qqp_eval │ ├── export.py │ ├── export.sh │ ├── export_bpe.sh │ ├── export_multilingual_bpe.sh │ ├── gatedcnn_sentence_bert_cmnli │ ├── hvd_api.sh │ ├── hvd_api_multilingual.sh │ ├── hvd_bpe_evaluate_multilingual.sh │ ├── hvd_evaluate.sh │ ├── hvd_evaluate_bpe.sh │ ├── interaction_distillation_model_fn.py │ ├── interaction_model_fn.py │ ├── interaction_rkd_distillation_model_fn.py │ ├── local_test.sh │ ├── match_pyramid_lcqmc │ ├── model_distillation_model_fn.py │ ├── pai_classification.sh │ ├── pai_classification_eval.sh │ ├── pai_evaluate.sh │ ├── restore.py │ ├── restore.sh │ ├── soar.sh │ ├── soar_bert_lcqmc │ ├── tf_serving.sh │ └── tf_serving_data_prepare.py ├── distributed_pretrain │ ├── __init__.py │ └── auxiliary_task.py ├── distributed_single_sentence_classification │ ├── __init__.py │ ├── abuse_2 │ ├── abuse_2_eval │ ├── abuse_2_export │ ├── albert_official_base_lcqmc │ ├── albert_tiny_lcqmc │ ├── albert_tiny_lcqmc_bert │ ├── albert_tiny_lcqmc_eval │ ├── albert_tiny_lcqmc_export │ ├── albert_tiny_xnli │ ├── albert_tiny_xnli_eval │ ├── all_reduce │ ├── all_reduce.sh │ ├── all_reduce_single_task.sh │ ├── bert_base_green_multiclass_export │ ├── bert_electra_tiny_green_multiclass │ ├── bert_electra_tiny_green_multiclass_export │ ├── bert_green_multiclass │ ├── bert_lcqmc_adv │ ├── bert_lcqmc_adv_export │ ├── bert_model_fn.py │ ├── bert_mtdnn_lcqmc │ ├── bert_qqp │ ├── bert_qqp_eval │ ├── bert_small_eval │ ├── bert_tiny_electra_ugc │ ├── bert_tiny_green_multiclass │ ├── bert_tiny_green_multiclass_export │ ├── bert_tiny_multilingual_ssm_export │ ├── bert_tiny_youku_title_comment │ ├── bert_tiny_youku_title_comment_export │ ├── chenxi_disu │ ├── chenxi_disu_eval │ ├── classifynet_model_fn.py │ ├── collective_reduce.sh │ ├── disu_albert_export.sh │ ├── electra_tiny_ugc_export │ ├── embed_model_fn.py │ ├── eval_estimator_fn.py │ ├── eval_sess_fn.py │ ├── evaluate.sh │ ├── evaluate_all_ckpt.py │ ├── example.py │ ├── export.py │ ├── export.sh │ ├── export_chenxi_disu.sh │ ├── export_data_security.sh │ ├── export_lazada.sh │ ├── export_lazada_0513.sh │ ├── export_multilingual_abusive.sh │ ├── export_multilingual_ssm.sh │ ├── export_pai.sh │ ├── export_porn.sh │ ├── export_textcnn_sentence_embed.sh │ ├── fake_news_2019 │ ├── fake_news_2019_eval │ ├── fake_news_2019_robusta │ ├── fake_news_2019_robusta_12 │ ├── fake_news_2019_robusta_12_eval │ ├── fake_news_2019_robusta_eval │ ├── funnel_transformer_444_rte │ ├── gatedcnn_green_multiclass │ ├── gatedcnn_green_multiclass_export │ ├── gatedcnn_jingfeng │ ├── gatedcnn_jingfeng_export │ ├── gatedcnn_luyang_multiclass │ ├── gatedcnn_luyang_multiclass_export │ ├── gatedcnn_sentence_bert_cmnli │ ├── green_yunsec_multiclass │ ├── hvd_api.sh │ ├── hvd_api_chenxi_disu.sh │ ├── hvd_api_data_security_bpe.sh │ ├── hvd_api_lazada_distillation.sh │ ├── hvd_api_porn_bpe_feature_distillation.sh │ ├── hvd_evaluate.sh │ ├── hvd_evaluate_lazada.sh │ ├── hvd_evaluate_porn.sh │ ├── hvd_train_eval.py │ ├── info │ ├── jd_hvd_hparameter │ ├── jd_hyparameter │ ├── label │ ├── local_test.py │ ├── local_test.sh │ ├── model_data_interface.py │ ├── model_distillation_adv_adaptation.py │ ├── model_distillation_fn.py │ ├── model_feature_distillation_fn.py │ ├── model_fn.py │ ├── model_fn_co_teach.py │ ├── model_fn_interface.py │ ├── model_interface.py │ ├── model_mdd_distillation.py │ ├── model_relation_distillation.py │ ├── mrc_search │ ├── mrc_search_eval │ ├── multilingual_abusive │ ├── multilingual_abusive_distill_adv │ ├── multilingual_abusive_eval │ ├── multilingual_lazada │ ├── multilingual_lazada_eval │ ├── multilingual_ssm │ ├── multilingual_ssm_eval │ ├── multilingual_ssm_export │ ├── multilingual_ssm_small │ ├── old_export.py │ ├── pai_collective_train.sh │ ├── pai_eval.sh │ ├── pai_evaluate.sh │ ├── pai_export.sh │ ├── pai_ps │ ├── pai_train.sh │ ├── politics_hyparameter │ ├── porn_2 │ ├── porn_2_albert_tiny │ ├── porn_2_eval │ ├── porn_2_export │ ├── porn_bert_distillation │ ├── porn_bert_small │ ├── porn_eval │ ├── porn_hparameter │ ├── porn_textcnn │ ├── product_multiclass_eval │ ├── product_multiclass_export │ ├── product_risk_6757 │ ├── product_risk_6757_eval │ ├── product_risk_multiclass │ ├── ps_train_eval.py │ ├── restore.py │ ├── restore.sh │ ├── roberta_jinfeng_export │ ├── roberta_jingfeng │ ├── roberta_tiny_luyang_multiclass │ ├── roberta_tiny_luyang_multiclass_export │ ├── soar_train_eval.py │ ├── tf_serving.sh │ ├── tf_serving_data_prepare.py │ ├── tf_serving_lazada.sh │ ├── train_eval.py │ ├── train_eval_estimator_fn.py │ ├── train_eval_multilabel_sess_fn.py │ ├── train_eval_sess_fn.py │ └── train_eval_tpu_estimator.py ├── example │ ├── __init__.py │ ├── bert_classifier.py │ ├── bert_classifier_estimator.py │ ├── bert_esim.py │ ├── bert_esim_v1.py │ ├── bert_interaction_classifier.py │ ├── bert_order_classifier.py │ ├── classifier_processor.py │ ├── create_pretrain_data.sh │ ├── esim_bert.py │ ├── feature_writer.py │ ├── hvd_bert_order_classifier.py │ ├── hvd_distributed_classifier.py │ ├── hvd_distributed_estimator_classifier.py │ ├── hvd_model_distributed_classifier.py │ ├── mrc_search_script.py │ ├── pretrain_classifier_processor.py │ ├── read_distillation_tfrecord.py │ ├── sequence_processor.py │ ├── write_to_records_pretrain.py │ ├── write_to_tfrecords.py │ └── write_to_tfrecords_multitask.py ├── glue_benchmark │ ├── __init__.py │ ├── crmc2018 │ │ ├── __init__.py │ │ ├── evaluate.py │ │ ├── run.sh │ │ ├── run_baseline.py │ │ └── run_roberta_wwm.sh │ ├── flags.py │ ├── modeling.py │ ├── optimization.py │ ├── sentence_classification │ │ ├── __init__.py │ │ └── classifier_utils.py │ └── tokenization.py ├── kdgan │ └── __init__.py ├── knowledge_distillation │ ├── __init__.py │ ├── distillation.py │ ├── student.py │ └── teacher.py ├── label_noise │ ├── __init__.py │ └── co_teach.py ├── lcqmc │ ├── app.py │ ├── app_start.sh │ ├── bert_order_estimator.py │ ├── eval_lcqmc_order.py │ ├── eval_lcqmc_order.sh │ ├── export_model.py │ ├── export_model.sh │ ├── lcqmc_distributed_order_train.sh │ ├── restore.py │ ├── restore.sh │ ├── test_grpc_serving.py │ ├── test_grpc_serving.sh │ ├── test_lcqmc_distributed_order.py │ ├── test_tf_serving.py │ └── test_tf_serving.sh ├── learingww_distillation │ └── __init__.py ├── loss │ ├── __init__.py │ ├── entfox.py │ ├── loss_utils.py │ ├── lovasz_loss_tf.py │ ├── spectral_utils.py │ ├── tf_opt_sinkhorn.py │ └── triplet_loss_utils.py ├── metric │ ├── __init__.py │ ├── metrics_impl_utils.py │ └── tf_metrics.py ├── model │ ├── __init__.py │ ├── attention │ │ ├── __init__.py │ │ └── attention.py │ ├── base_classify │ │ ├── __init__.py │ │ └── base_model.py │ ├── base_text_similarity │ │ ├── __init__.py │ │ └── base_model.py │ ├── bert │ │ ├── __init__.py │ │ ├── albert.py │ │ ├── albert_official.py │ │ ├── albert_official_electra_joint.py │ │ ├── bert.py │ │ ├── bert_adapter.py │ │ ├── bert_electra_joint.py │ │ ├── bert_rule.py │ │ ├── bert_seq.py │ │ ├── distributed_bert.py │ │ └── funnel_bert.py │ ├── dan │ │ ├── __init__.py │ │ ├── dan.py │ │ └── dan_nvdm.py │ ├── dsmm │ │ ├── __init__.py │ │ └── dsmm.py │ ├── esim │ │ ├── __init__.py │ │ └── esim.py │ ├── gpt │ │ ├── __init__.py │ │ ├── beam_search.py │ │ ├── gpt.py │ │ ├── gpt_utils.py │ │ ├── sample.py │ │ └── sample_naive.py │ ├── match_pyramid │ │ ├── __init__.py │ │ ├── match_pyramid.py │ │ └── mp_cnn.py │ ├── regularizer │ │ ├── __init__.py │ │ └── vib.py │ ├── rnn │ │ ├── __init__.py │ │ └── rnn.py │ ├── textcnn │ │ ├── __init__.py │ │ └── textcnn.py │ └── textlstm │ │ ├── __init__.py │ │ └── textlstm.py ├── model_io │ ├── __init__.py │ ├── extract_weight.py │ ├── free_horovod_graph.py │ ├── get_checkpoint_node_name.py │ ├── model_io.py │ └── model_io_utils.py ├── multilingual │ ├── __init__.py │ ├── base_train.py │ ├── bert_classifier_estimator.py │ ├── classifier_processor.py │ ├── data_generator.sh │ ├── data_processor.py │ ├── export_model.py │ ├── export_model.sh │ ├── restore.py │ ├── restore.sh │ ├── test_tf_serving.py │ ├── test_tf_serving.sh │ └── train.sh ├── nlm_noisy_generator │ ├── __init__.py │ ├── loader.py │ └── utils.py ├── offline_debug │ ├── __init__.py │ ├── abuse_2 │ ├── abuse_2_albert_base │ ├── abuse_2_robusta │ ├── abuse_2_robusta_12 │ ├── collective_reduce.sh │ ├── distributed_tf_data_utils.py │ ├── itera_data.py │ ├── itera_data.sh │ ├── jd_hyparameter │ ├── model_fn.py │ ├── pai_collective_train.sh │ ├── pai_tensorboard.sh │ ├── porn_2 │ ├── porn_albert │ ├── prepare_data.py │ ├── run.py │ ├── run_tensorboard.sh │ └── train_estimator.py ├── optimizer │ ├── __init__.py │ ├── adam_belief_utils.py │ ├── adam_weight_decay_exclude_utils.py │ ├── adam_weight_decay_utils.py │ ├── anneal_strategy.py │ ├── distributed_optimizer.py │ ├── ema_utils.py │ ├── hvd_distributed_optimizer.py │ ├── lamb_utils.py │ ├── lookahead_utils.py │ ├── optimizer.py │ ├── optimizer_utils.py │ ├── pai_soar_optimizer_utils.py │ └── radam_utils.py ├── politics_classification │ ├── __init__.py │ ├── base_train.py │ ├── bert_classifier_estimator.py │ ├── classifier_processor.py │ ├── data_generator.sh │ ├── data_processor.py │ ├── eval.py │ ├── eval.sh │ ├── export.py │ ├── export.sh │ ├── politics_prediction.py │ ├── restore.py │ ├── restore.sh │ ├── test_tf_serving.py │ ├── test_tf_serving.sh │ └── train.sh ├── porn_classification │ ├── __init__.py │ ├── base_train.py │ ├── bert_classifier_estimator.py │ ├── classifier_processor.py │ ├── data_generator.sh │ ├── data_processor.py │ ├── eval.py │ ├── eval.sh │ ├── eval_tfrecord.py │ ├── eval_tfrecord.sh │ ├── export.py │ ├── export.sh │ ├── porn_prediction.py │ ├── porn_rule_dataset.py │ ├── restore.py │ ├── restore.sh │ ├── test_tf_serving.py │ ├── test_tf_serving.sh │ └── train.sh ├── pretrain_finetuning │ ├── __init__.py │ ├── all_reduce.sh │ ├── all_reduce_eval.sh │ ├── bert_glance_mlm │ ├── bert_paraphrase │ ├── bert_seq_lm │ ├── chinese_wiki_albert │ ├── classifier_ema_fn_estimator.py │ ├── classifier_fn.py │ ├── classifier_fn_tpu_bert_seq_estimator.py │ ├── classifier_fn_tpu_estimator.py │ ├── classifier_fn_tpu_gatedcnn_estimator.py │ ├── collective_reduce.sh │ ├── data_generator.sh │ ├── data_processor.py │ ├── discriminator.py │ ├── discriminator_exporter.py │ ├── discriminator_exporter_alone.py │ ├── discriminator_gumbel.py │ ├── discriminator_gumbel_nce.py │ ├── discriminator_relgan.py │ ├── discriminator_relgan_exporter.py │ ├── discriminator_relgan_exporter_alone.py │ ├── electra_all_generator_model_fn.py │ ├── electra_export.py │ ├── electra_export_script.py │ ├── electra_model_fn.py │ ├── electra_model_fn_fce.py │ ├── electra_model_fn_gumbel.py │ ├── electra_model_fn_gumbel_global.py │ ├── electra_model_fn_gumbel_nce.py │ ├── electra_model_fn_gumbel_relgan.py │ ├── electra_train_debug │ ├── electra_train_debug_pretrain_relgan │ ├── electra_train_debug_share_embedding │ ├── electra_train_debug_sharing_embed_joint │ ├── electra_train_debug_sharing_embed_joint_adv │ ├── electra_train_debug_sharing_embed_joint_eval │ ├── electra_train_debug_sharing_embed_relgan │ ├── experiments │ ├── export.py │ ├── export_api.py │ ├── export_bert_seq_lm.py │ ├── export_bert_seq_lm.sh │ ├── export_bert_seq_lm_en.sh │ ├── export_checkpoints.py │ ├── export_discriminator.py │ ├── export_discriminator.sh │ ├── export_electra.sh │ ├── export_gated_seq_lm.py │ ├── export_gatedcnn_lm.sh │ ├── export_generator_discriminator_as_single.sh │ ├── fake_news_2019 │ ├── gatedcnn_lm_pretrain │ ├── gatedcnn_lm_pretrain_seq │ ├── generator.py │ ├── generator_as_discriminator.py │ ├── generator_exporter.py │ ├── generator_exporter_alone.py │ ├── generator_gumbel.py │ ├── generator_gumbel_normal.py │ ├── generator_igr.py │ ├── gpu_test_cond.py │ ├── green_text_pretrain_finetuning │ ├── green_text_pretrain_finetuning_albert │ ├── green_text_pretrain_finetuning_robusta │ ├── iterate_data.py │ ├── iterate_data.sh │ ├── kmeans_algoithm.py │ ├── kmeans_test.py │ ├── model_fn_builder │ ├── mrc_pretrain_finetuning │ ├── multi_model_config.json │ ├── multi_model_config_ebm_base.json │ ├── multi_model_config_ebm_fce.json │ ├── multi_model_config_ebm_uncased.json │ ├── multi_model_config_gumbel.json │ ├── multi_model_config_gumbel_albert.json │ ├── multi_model_config_gumbel_share_embedding.json │ ├── multi_model_config_gumbel_sharing_embedding.json │ ├── multi_model_config_gumbel_sharing_embedding_relgan.json │ ├── multi_model_config_gumbel_sharing_embedding_small.json │ ├── multi_model_config_gumbel_sharing_embedding_tiny.json │ ├── multi_model_config_gumbel_sharing_embedding_tiny_same.json │ ├── multi_model_gs.json │ ├── multi_model_gs_base.json │ ├── multi_model_gs_base_gumbel.json │ ├── multi_model_gs_ebm_fce.json │ ├── multi_model_gs_ebm_fce_base.json │ ├── multi_model_gs_ebm_fce_uncased.json │ ├── multi_model_gs_ebm_fce_uncased_base.json │ ├── multi_model_gs_gumbel.json │ ├── multi_model_gs_gumbel_albert.json │ ├── multi_model_gs_gumbel_base.json │ ├── multi_model_gs_gumbel_scratch.json │ ├── multi_model_gs_gumbel_scratch_sharing.json │ ├── multi_model_gs_gumbel_scratch_sharing_embedding.json │ ├── multi_model_gs_gumbel_scratch_sharing_embedding_small.json │ ├── multi_model_gs_gumbel_scratch_sharing_embedding_tiny.json │ ├── multi_model_gs_gumbel_scratch_sharing_embedding_tiny_uncased.json │ ├── multi_model_gs_gumbel_scratch_tiny.json │ ├── multi_model_gs_gumbel_scratch_tiny_uncased.json │ ├── open_domain_albert_tiny │ ├── pai_collective.sh │ ├── pai_eval.sh │ ├── pai_tensorboard.sh │ ├── pai_train.sh │ ├── python ..:src:frozen_graph.py --saved_model_dir :d │ ├── run_gatedcnn_tensorboard.sh │ ├── run_tensorboard.sh │ ├── shadowsocks │ ├── test_green_sample.py │ ├── test_op.py │ ├── token_discriminator.py │ ├── token_discriminator_nce.py │ ├── token_discriminator_relgan.py │ ├── token_generator.py │ ├── token_generator_as_discriminator.py │ ├── token_generator_gumbel.py │ ├── token_generator_hmm.py │ ├── token_generator_igr.py │ ├── tpu_write_to_summary.py │ ├── train_eval.py │ ├── train_eval_gpu_electra_estimator.py │ ├── train_eval_tpu_estimator.py │ ├── train_sess.py │ ├── train_sess.sh │ ├── trf_bert_ebm_gpt.py │ ├── trf_bert_ebm_gpt_estimator.py │ ├── trf_bert_ebm_gpt_v1.py │ ├── trf_bert_ebm_residual_estimator.py │ ├── trf_classifier.py │ ├── trf_ebm_bert.py │ ├── trf_ebm_gpt_joint │ ├── trf_ebm_noise_mlm_sample.py │ ├── trf_ebm_uncased │ ├── trf_gpt_noise.py │ ├── trf_hvd_train_v1.sh │ └── youku_title_comment_pretrain ├── summary │ ├── __init__.py │ └── summary.py ├── task_module │ ├── __init__.py │ ├── adco_utils.py │ ├── article_matching.py │ ├── classifier.py │ ├── classifier_adapter.py │ ├── contrastive_utils.py │ ├── global_batch_norm.py │ ├── mixup_represt_learning.py │ ├── model_utils.py │ ├── pretrain.py │ ├── pretrain_adapter.py │ ├── pretrain_albert.py │ ├── span_mrc_classifier.py │ ├── tsa.py │ └── tsa_pretrain.py ├── task_pretrain │ ├── __init__.py │ ├── classifier_fn.py │ ├── multi_machine_train.sh │ ├── train_estimator.py │ ├── train_estimator.sh │ ├── train_sess.py │ └── train_sess.sh ├── test │ ├── en_eval_wsdm_order.sh │ ├── en_test_wsdm_distributed_order.py │ ├── en_wsdm_distributed_order_train.sh │ ├── eval.sh │ ├── eval_bert_esim.py │ ├── eval_bert_esim.sh │ ├── eval_distillation_order.py │ ├── eval_distillation_order.sh │ ├── eval_oqmrc.py │ ├── eval_oqmrc_test.py │ ├── eval_wsdm.sh │ ├── eval_wsdm_esim_bert.py │ ├── eval_wsdm_esim_bert.sh │ ├── eval_wsdm_interaction.sh │ ├── eval_wsdm_interaction_test.py │ ├── eval_wsdm_order.py │ ├── eval_wsdm_order.sh │ ├── eval_wsdm_test.py │ ├── eval_wsdm_vib_order.py │ ├── horovod_test_distributed.sh │ ├── official_oqmrc_test.py │ ├── official_wsdm.py │ ├── official_wsdm.sh │ ├── official_wsdm_bert_esim.py │ ├── official_wsdm_bert_esim.sh │ ├── official_wsdm_distillation_order.py │ ├── official_wsdm_distillation_order.sh │ ├── official_wsdm_order.py │ ├── official_wsdm_order.sh │ ├── oqmrc_distributed_train.sh │ ├── oqmrc_train.sh │ ├── requirements.txt │ ├── start.sh │ ├── test.sh │ ├── test_oqmrc.py │ ├── test_oqmrc_1.py │ ├── test_oqmrc_distributed_final.py │ ├── test_oqmrc_final.py │ ├── test_wsdm.py │ ├── test_wsdm_distillation.py │ ├── test_wsdm_distributed.py │ ├── test_wsdm_distributed_bert_esim.py │ ├── test_wsdm_distributed_esim_bert.py │ ├── test_wsdm_distributed_order.py │ ├── test_wsdm_distributed_vib_order.py │ ├── test_wsdm_interaction.py │ ├── test_wsdm_order.py │ ├── wsdm_bert_esim_distributed_train.sh │ ├── wsdm_distillation_train.sh │ ├── wsdm_distributed_order_train.sh │ ├── wsdm_distributed_order_train_en.sh │ ├── wsdm_distributed_order_vib_train.sh │ ├── wsdm_distributed_train.sh │ ├── wsdm_distributed_train_en.sh │ ├── wsdm_esim_bert_distributed_train.sh │ ├── wsdm_interaction_train.sh │ ├── wsdm_order_train.sh │ └── wsdm_train.sh └── utils │ ├── __init__.py │ ├── adversarial_utils │ ├── __init__.py │ ├── adversarial_utils.py │ ├── logits_utils.py │ ├── noise_generator.py │ └── perturbation_utils.py │ ├── attention_selection │ ├── __init__.py │ ├── attention_selection_utils.py │ ├── fast_attention_utils.py │ └── info │ ├── bert │ ├── __init__.py │ ├── albert_modules.py │ ├── albert_modules_official.py │ ├── albert_recurrent_utils.py │ ├── albert_utils_official.py │ ├── attention_nystrom.py │ ├── bert_adapter_modules.py │ ├── bert_modules.py │ ├── bert_seq_modules.py │ ├── bert_seq_sample_utils.py │ ├── bert_seq_tpu_utils.py │ ├── bert_seq_utils.py │ ├── bert_utils.py │ ├── conv_bert_modules.py │ ├── dropout_utils.py │ ├── efficient_multihead_attention.py │ ├── hard_attention_modules.py │ ├── layer_norm_utils.py │ ├── preln_transformer_model.py │ └── reformer_modules.py │ ├── biblosa │ ├── __init__.py │ ├── cnn.py │ ├── context_fusion.py │ ├── general.py │ ├── nn.py │ ├── rnn.py │ └── self_attn.py │ ├── bimpm │ ├── __init__.py │ ├── layer_utils.py │ ├── match_utils.py │ ├── my_rnn.py │ └── rnn_model.py │ ├── capsule │ ├── __init__.py │ ├── capsule_layers.py │ ├── capsule_modules.py │ └── capsule_utils.py │ ├── common │ ├── __init__.py │ └── common_utils.py │ ├── config │ ├── __init__.py │ └── config.py │ ├── conv_deconv │ ├── __init__.py │ ├── conv_deconv.py │ ├── deconv_utils.py │ └── model.py │ ├── conv_utils │ ├── __init__.py │ ├── dynamic_conv_kernel.py │ ├── dynamic_conv_kernel_v1.py │ └── group_conv_utils.py │ ├── data_ops │ ├── __init__.py │ ├── dataset_ops.py │ ├── gen_experimental_dataset_ops.py │ ├── gen_stateless_random_ops.py │ ├── interleave_ops.py │ ├── random_ops.py │ └── strcuture.py │ ├── deeppyramid │ ├── __init__.py │ └── deeppyramid_utils.py │ ├── diin │ ├── __init__.py │ ├── diin_utils.py │ ├── tensorflow │ │ ├── __init__.py │ │ ├── general.py │ │ ├── nn.py │ │ ├── rnn.py │ │ └── rnn_cell.py │ └── util │ │ ├── __init__.py │ │ └── blocks.py │ ├── dpp │ ├── __init__.py │ └── dpp_map.py │ ├── drcn │ ├── __init__.py │ └── drcn_utils.py │ ├── drmm │ ├── __init__.py │ └── drmm_utils.py │ ├── dsmm │ ├── __init__.py │ ├── inputs │ │ ├── __init__.py │ │ ├── data.py │ │ └── dynamic_pooling.py │ ├── tf_common │ │ ├── __init__.py │ │ ├── metrics.py │ │ ├── nadam.py │ │ ├── nn_module.py │ │ └── optimizer.py │ └── utils │ │ ├── __init__.py │ │ ├── dist_utils.py │ │ ├── log_utils.py │ │ ├── ngram_utils.py │ │ ├── np_utils.py │ │ ├── os_utils.py │ │ ├── time_utils.py │ │ └── topk_utils.py │ ├── embed │ ├── __init__.py │ ├── char_embedding_utils.py │ └── integration_func.py │ ├── esim │ ├── __init__.py │ └── esim_utils.py │ ├── export_model │ ├── __init__.py │ └── export_frozen_model.py │ ├── funnel_transformer │ ├── __init__.py │ ├── funnel_transformer_modules.py │ ├── funnel_transformer_modules_v1.py │ ├── funnel_transformer_ops.py │ ├── funnel_transformer_ops_v1.py │ ├── funnel_transformer_utils.py │ ├── funnel_transformer_utils_v1.py │ ├── model_utils.py │ └── tf_utils.py │ ├── label_network │ ├── __init__.py │ ├── attention_gru_cell.py │ └── label_network_utils.py │ ├── leam │ ├── __init__.py │ └── leam_utils.py │ ├── man │ ├── __init__.py │ └── man_utils.py │ ├── mix │ ├── __init__.py │ └── mix.py │ ├── moco │ ├── __init__.py │ └── moco_queue.py │ ├── model_utils │ ├── __init__.py │ └── host_call.py │ ├── qanet │ ├── __init__.py │ └── qanet_layers.py │ ├── re_augument │ ├── __init__.py │ └── re_augument_utils.py │ ├── reformer │ ├── __init__.py │ ├── blocks.py │ ├── reformer_modules.py │ └── reformer_utils.py │ ├── relation_network │ ├── __init__.py │ └── relation_network_utils.py │ ├── rnn │ ├── __init__.py │ └── rnn_utils.py │ ├── sampling_utils │ ├── __init__.py │ ├── glancing_sampling_utils.py │ ├── gumbel_sampling_utils.py │ ├── nuelus_sampling_utils.py │ ├── nuelus_sampling_utils_v1.py │ └── stoachatisc_beam_search.py │ ├── simclr │ ├── __init__.py │ └── simclr_utils.py │ ├── slstm │ ├── __init__.py │ └── slstm_utils.py │ ├── swem │ ├── __init__.py │ └── swem_utils.py │ ├── tensor2tensor │ ├── __init__.py │ ├── bin │ │ ├── __init__.py │ │ ├── build_vocab.py │ │ ├── make_tf_configs.py │ │ ├── t2t-avg-all │ │ ├── t2t-bleu │ │ ├── t2t-datagen │ │ ├── t2t-decoder │ │ ├── t2t-eval │ │ ├── t2t-exporter │ │ ├── t2t-insights-server │ │ ├── t2t-make-tf-configs │ │ ├── t2t-query-server │ │ ├── t2t-trainer │ │ ├── t2t-translate-all │ │ ├── t2t_attack.py │ │ ├── t2t_avg_all.py │ │ ├── t2t_bleu.py │ │ ├── t2t_datagen.py │ │ ├── t2t_decoder.py │ │ ├── t2t_distill.py │ │ ├── t2t_eval.py │ │ ├── t2t_prune.py │ │ ├── t2t_trainer.py │ │ ├── t2t_trainer_test.py │ │ └── t2t_translate_all.py │ ├── data_generators │ │ ├── README.md │ │ ├── __init__.py │ │ ├── algorithmic.py │ │ ├── algorithmic_math.py │ │ ├── algorithmic_math_deepmind.py │ │ ├── algorithmic_math_test.py │ │ ├── algorithmic_math_two_variables.py │ │ ├── algorithmic_test.py │ │ ├── all_problems.py │ │ ├── allen_brain.py │ │ ├── allen_brain_test.py │ │ ├── audio.py │ │ ├── audio_encoder.py │ │ ├── audio_test.py │ │ ├── babi_qa.py │ │ ├── bair_robot_pushing.py │ │ ├── celeba.py │ │ ├── celeba_test.py │ │ ├── celebahq.py │ │ ├── cifar.py │ │ ├── cipher.py │ │ ├── cleaner_en_xx.py │ │ ├── cnn_dailymail.py │ │ ├── cola.py │ │ ├── common_voice.py │ │ ├── common_voice_test.py │ │ ├── conll_ner.py │ │ ├── desc2code.py │ │ ├── desc2code_test.py │ │ ├── dna_encoder.py │ │ ├── dna_encoder_test.py │ │ ├── fsns.py │ │ ├── function_docstring.py │ │ ├── gene_expression.py │ │ ├── gene_expression_test.py │ │ ├── generator_utils.py │ │ ├── generator_utils_test.py │ │ ├── google_robot_pushing.py │ │ ├── gym_env.py │ │ ├── gym_env_test.py │ │ ├── ice_parsing.py │ │ ├── image_lsun.py │ │ ├── image_utils.py │ │ ├── image_utils_test.py │ │ ├── imagenet.py │ │ ├── imagenet_test.py │ │ ├── imdb.py │ │ ├── inspect_tfrecord.py │ │ ├── lambada.py │ │ ├── librispeech.py │ │ ├── lm1b.py │ │ ├── lm1b_imdb.py │ │ ├── lm1b_mnli.py │ │ ├── mnist.py │ │ ├── moving_mnist.py │ │ ├── mrpc.py │ │ ├── mscoco.py │ │ ├── mscoco_test.py │ │ ├── multi_problem.py │ │ ├── multi_problem_v2.py │ │ ├── multi_problem_v2_test.py │ │ ├── multinli.py │ │ ├── ocr.py │ │ ├── ops │ │ │ ├── pack_sequences_ops.cc │ │ │ ├── pack_sequences_ops_test.py │ │ │ ├── subword_text_encoder.cc │ │ │ ├── subword_text_encoder.h │ │ │ ├── subword_text_encoder_ops.cc │ │ │ ├── subword_text_encoder_ops_test.py │ │ │ ├── subword_text_encoder_test.cc │ │ │ └── testdata │ │ │ │ └── subwords │ │ ├── paraphrase_ms_coco.py │ │ ├── paraphrase_ms_coco_test.py │ │ ├── pointer_generator_word.py │ │ ├── problem.py │ │ ├── problem_hparams.py │ │ ├── problem_test.py │ │ ├── program_search.py │ │ ├── program_search_test.py │ │ ├── ptb.py │ │ ├── qnli.py │ │ ├── quora_qpairs.py │ │ ├── rte.py │ │ ├── scitail.py │ │ ├── snli.py │ │ ├── speech_recognition.py │ │ ├── squad.py │ │ ├── sst_binary.py │ │ ├── stanford_nli.py │ │ ├── style_transfer.py │ │ ├── style_transfer_test.py │ │ ├── subject_verb_agreement.py │ │ ├── test_data │ │ │ ├── 1.csv │ │ │ ├── corpus-1.txt │ │ │ ├── corpus-2.txt │ │ │ ├── vocab-1.txt │ │ │ └── vocab-2.txt │ │ ├── text_encoder.py │ │ ├── text_encoder_build_subword.py │ │ ├── text_encoder_test.py │ │ ├── text_problems.py │ │ ├── text_problems_test.py │ │ ├── timeseries.py │ │ ├── timeseries_data_generator.py │ │ ├── timeseries_data_generator_test.py │ │ ├── timeseries_test.py │ │ ├── tokenizer.py │ │ ├── tokenizer_test.py │ │ ├── transduction_problems.py │ │ ├── transduction_problems_test.py │ │ ├── translate.py │ │ ├── translate_encs.py │ │ ├── translate_ende.py │ │ ├── translate_ende_test.py │ │ ├── translate_enes.py │ │ ├── translate_enet.py │ │ ├── translate_enfr.py │ │ ├── translate_enid.py │ │ ├── translate_enmk.py │ │ ├── translate_enro.py │ │ ├── translate_entn.py │ │ ├── translate_envi.py │ │ ├── translate_enzh.py │ │ ├── translate_test.py │ │ ├── video_generated.py │ │ ├── video_utils.py │ │ ├── video_utils_test.py │ │ ├── vqa.py │ │ ├── vqa_utils.py │ │ ├── wiki.py │ │ ├── wiki_lm.py │ │ ├── wiki_multi_problems.py │ │ ├── wiki_revision.py │ │ ├── wiki_revision_utils.py │ │ ├── wikifact │ │ │ └── README.md │ │ ├── wikisum │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── delete_instances.sh │ │ │ ├── generate_vocab.py │ │ │ ├── get_references_commoncrawl.py │ │ │ ├── get_references_web.py │ │ │ ├── get_references_web_single_group.py │ │ │ ├── html.py │ │ │ ├── parallel_launch.py │ │ │ ├── produce_examples.py │ │ │ ├── test_data │ │ │ │ ├── para_bad1.txt │ │ │ │ └── para_good1.txt │ │ │ ├── utils.py │ │ │ ├── utils_test.py │ │ │ ├── validate_data.py │ │ │ └── wikisum.py │ │ ├── wikitext103.py │ │ ├── wnli.py │ │ ├── wsj_parsing.py │ │ ├── yelp_full.py │ │ └── yelp_polarity.py │ ├── envs │ │ ├── __init__.py │ │ ├── env_problem.py │ │ ├── env_problem_utils.py │ │ ├── env_problem_utils_test.py │ │ ├── gym_env_problem.py │ │ ├── gym_env_problem_test.py │ │ ├── gym_spaces_utils.py │ │ ├── gym_spaces_utils_test.py │ │ ├── mujoco_problems.py │ │ ├── mujoco_problems_test.py │ │ ├── rendered_env_problem.py │ │ ├── rendered_env_problem_test.py │ │ ├── tic_tac_toe_env.py │ │ ├── tic_tac_toe_env_problem.py │ │ ├── tic_tac_toe_env_problem_test.py │ │ ├── tic_tac_toe_env_test.py │ │ ├── time_step.py │ │ ├── time_step_test.py │ │ ├── trajectory.py │ │ └── trajectory_test.py │ ├── insights │ │ ├── README.md │ │ ├── __init__.py │ │ ├── graph.py │ │ ├── insight_configuration.proto │ │ ├── polymer │ │ │ ├── .bowerrc │ │ │ ├── attention_visualization │ │ │ │ ├── attention-visualization.html │ │ │ │ └── attention-visualization.js │ │ │ ├── bower.json │ │ │ ├── common-types.js │ │ │ ├── explore_view │ │ │ │ ├── explore-view.html │ │ │ │ └── explore-view.js │ │ │ ├── graph_visualization │ │ │ │ ├── graph-visualization.html │ │ │ │ └── graph-visualization.js │ │ │ ├── index.html │ │ │ ├── insights_app │ │ │ │ ├── insights-app.html │ │ │ │ └── insights-app.js │ │ │ ├── language_selector │ │ │ │ ├── language-selector-content.html │ │ │ │ ├── language-selector-content.js │ │ │ │ ├── language-selector.html │ │ │ │ └── language-selector.js │ │ │ ├── processing_visualization │ │ │ │ ├── processing-visualization.html │ │ │ │ └── processing-visualization.js │ │ │ ├── query_card │ │ │ │ ├── query-card.html │ │ │ │ └── query-card.js │ │ │ ├── tensor2tensor.html │ │ │ └── translation_result │ │ │ │ ├── translation-result.html │ │ │ │ └── translation-result.js │ │ ├── query_processor.py │ │ ├── server.py │ │ └── transformer_model.py │ ├── keras │ │ ├── __init__.py │ │ ├── constraints.py │ │ ├── initializers.py │ │ ├── initializers_test.py │ │ ├── regularizers.py │ │ └── regularizers_test.py │ ├── layers │ │ ├── __init__.py │ │ ├── area_attention.py │ │ ├── area_attention_test.py │ │ ├── bayes.py │ │ ├── bayes_test.py │ │ ├── common_attention.py │ │ ├── common_attention_test.py │ │ ├── common_audio.py │ │ ├── common_hparams.py │ │ ├── common_image_attention.py │ │ ├── common_image_attention_test.py │ │ ├── common_layers.py │ │ ├── common_layers_test.py │ │ ├── common_video.py │ │ ├── common_video_test.py │ │ ├── discretization.py │ │ ├── discretization_test.py │ │ ├── gaussian_process.py │ │ ├── gaussian_process_test.py │ │ ├── latent_layers.py │ │ ├── latent_layers_test.py │ │ ├── message_passing_attention.py │ │ ├── modalities.py │ │ ├── modalities_test.py │ │ ├── ngram.py │ │ ├── ngram_test.py │ │ ├── reversible_layers.py │ │ ├── reversible_layers_test.py │ │ ├── transformer_layers.py │ │ ├── transformer_memory.py │ │ ├── transformer_memory_test.py │ │ ├── vq_discrete.py │ │ └── vqa_layers.py │ ├── metrics │ │ ├── __init__.py │ │ ├── video_conditional_fvd.py │ │ └── video_conditional_fvd_test.py │ ├── models │ │ ├── README.md │ │ ├── __init__.py │ │ ├── basic.py │ │ ├── basic_test.py │ │ ├── bytenet.py │ │ ├── bytenet_test.py │ │ ├── distillation.py │ │ ├── evolved_transformer.py │ │ ├── evolved_transformer_test.py │ │ ├── image_transformer.py │ │ ├── image_transformer_2d.py │ │ ├── image_transformer_2d_test.py │ │ ├── image_transformer_test.py │ │ ├── lstm.py │ │ ├── lstm_test.py │ │ ├── mtf_image_transformer.py │ │ ├── mtf_image_transformer_test.py │ │ ├── mtf_resnet.py │ │ ├── mtf_transformer.py │ │ ├── mtf_transformer2.py │ │ ├── mtf_transformer_test.py │ │ ├── neural_architecture_search │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── nas_layers.py │ │ │ ├── nas_layers_test.py │ │ │ ├── nas_model.py │ │ │ └── nas_model_test.py │ │ ├── neural_gpu.py │ │ ├── neural_gpu_test.py │ │ ├── research │ │ │ ├── __init__.py │ │ │ ├── adafactor_experiments.py │ │ │ ├── aligned.py │ │ │ ├── attention_lm.py │ │ │ ├── attention_lm_moe.py │ │ │ ├── autoencoders.py │ │ │ ├── autoencoders_test.py │ │ │ ├── cycle_gan.py │ │ │ ├── gene_expression.py │ │ │ ├── gene_expression_test.py │ │ │ ├── glow.py │ │ │ ├── glow_init_hook.py │ │ │ ├── glow_ops.py │ │ │ ├── glow_ops_test.py │ │ │ ├── glow_test.py │ │ │ ├── lm_experiments.py │ │ │ ├── moe.py │ │ │ ├── moe_experiments.py │ │ │ ├── multiquery_paper.py │ │ │ ├── neural_stack.py │ │ │ ├── neural_stack_test.py │ │ │ ├── rl.py │ │ │ ├── similarity_transformer.py │ │ │ ├── super_lm.py │ │ │ ├── transformer_aux.py │ │ │ ├── transformer_aux_test.py │ │ │ ├── transformer_moe.py │ │ │ ├── transformer_nat.py │ │ │ ├── transformer_parallel.py │ │ │ ├── transformer_revnet.py │ │ │ ├── transformer_revnet_test.py │ │ │ ├── transformer_sketch.py │ │ │ ├── transformer_symshard.py │ │ │ ├── transformer_vae.py │ │ │ ├── transformer_vae_test.py │ │ │ ├── universal_transformer.py │ │ │ ├── universal_transformer_test.py │ │ │ ├── universal_transformer_util.py │ │ │ ├── vqa_attention.py │ │ │ ├── vqa_attention_test.py │ │ │ ├── vqa_recurrent_self_attention.py │ │ │ └── vqa_self_attention.py │ │ ├── resnet.py │ │ ├── resnet_test.py │ │ ├── revnet.py │ │ ├── revnet_test.py │ │ ├── shake_shake.py │ │ ├── slicenet.py │ │ ├── slicenet_test.py │ │ ├── text_cnn.py │ │ ├── transformer.py │ │ ├── transformer_test.py │ │ ├── vanilla_gan.py │ │ ├── video │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── base_vae.py │ │ │ ├── basic_deterministic.py │ │ │ ├── basic_deterministic_params.py │ │ │ ├── basic_deterministic_test.py │ │ │ ├── basic_recurrent.py │ │ │ ├── basic_recurrent_test.py │ │ │ ├── basic_stochastic.py │ │ │ ├── basic_stochastic_test.py │ │ │ ├── emily.py │ │ │ ├── emily_test.py │ │ │ ├── epva.py │ │ │ ├── epva_params.py │ │ │ ├── next_frame_glow.py │ │ │ ├── nfg_conv3d_test.py │ │ │ ├── nfg_conv_lstm_test.py │ │ │ ├── nfg_conv_test.py │ │ │ ├── nfg_interpolate.py │ │ │ ├── nfg_test_utils.py │ │ │ ├── nfg_uncond_test.py │ │ │ ├── savp.py │ │ │ ├── savp_params.py │ │ │ ├── savp_test.py │ │ │ ├── sv2p.py │ │ │ ├── sv2p_params.py │ │ │ ├── sv2p_test.py │ │ │ └── tests_utils.py │ │ ├── xception.py │ │ └── xception_test.py │ ├── problems.py │ ├── problems_colab.py │ ├── problems_test.py │ ├── rl │ │ ├── README.md │ │ ├── __init__.py │ │ ├── batch_dqn_agent_test.py │ │ ├── batch_runner_test.py │ │ ├── datagen_with_agent.py │ │ ├── dopamine_connector.py │ │ ├── envs │ │ │ ├── __init__.py │ │ │ ├── in_graph_batch_env.py │ │ │ ├── py_func_batch_env.py │ │ │ ├── simulated_batch_env.py │ │ │ ├── simulated_batch_gym_env.py │ │ │ └── tf_atari_wrappers.py │ │ ├── evaluator.py │ │ ├── evaluator_test.py │ │ ├── gym_utils.py │ │ ├── gym_utils_test.py │ │ ├── player.py │ │ ├── player_utils.py │ │ ├── policy_learner.py │ │ ├── ppo.py │ │ ├── ppo_learner.py │ │ ├── restarter.py │ │ ├── restarter_test.py │ │ ├── rl_utils.py │ │ ├── trainer_model_based.py │ │ ├── trainer_model_based_agent_only.py │ │ ├── trainer_model_based_params.py │ │ ├── trainer_model_based_recurrent_test.py │ │ ├── trainer_model_based_stochastic_test.py │ │ ├── trainer_model_based_sv2p_test.py │ │ ├── trainer_model_based_test.py │ │ ├── trainer_model_free.py │ │ ├── trainer_model_free_test.py │ │ └── trainer_model_free_tictactoe_test.py │ ├── serving │ │ ├── README.md │ │ ├── __init__.py │ │ ├── export.py │ │ ├── query.py │ │ └── serving_utils.py │ ├── test_data │ │ ├── example_usr_dir │ │ │ ├── __init__.py │ │ │ ├── my_submodule.py │ │ │ └── requirements.txt │ │ ├── transformer_test_ckpt │ │ │ ├── checkpoint │ │ │ ├── flags.txt │ │ │ ├── hparams.json │ │ │ ├── model.ckpt-1.data-00000-of-00002 │ │ │ ├── model.ckpt-1.data-00001-of-00002 │ │ │ ├── model.ckpt-1.index │ │ │ └── model.ckpt-1.meta │ │ ├── vocab.translate_ende_wmt32k.32768.subwords │ │ └── vocab.translate_ende_wmt8k.8192.subwords │ ├── trax │ │ ├── README.md │ │ ├── __init__.py │ │ ├── backend.py │ │ ├── backend_test.py │ │ ├── configs │ │ │ ├── position_lookup_transformer_copy.gin │ │ │ ├── resnet50_imagenet_8gb.gin │ │ │ ├── resnet50_imagenet_8gb_testing.gin │ │ │ ├── transformer_big_lm1b_8gb.gin │ │ │ ├── transformer_imdb_8gb.gin │ │ │ ├── transformer_lm1b_8gb.gin │ │ │ ├── transformer_lm1b_8gb_testing.gin │ │ │ ├── transformer_revnet_imagenet64_8gb.gin │ │ │ ├── transformer_revnet_lm1b_8gb.gin │ │ │ ├── transformer_wmt_ende_8gb.gin │ │ │ └── wide_resnet_cifar10_8gb.gin │ │ ├── history.py │ │ ├── inputs.py │ │ ├── inputs_test.py │ │ ├── jaxboard.py │ │ ├── layers │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── attention.py │ │ │ ├── attention_test.py │ │ │ ├── base.py │ │ │ ├── base_test.py │ │ │ ├── combinators.py │ │ │ ├── combinators_test.py │ │ │ ├── convolution.py │ │ │ ├── convolution_test.py │ │ │ ├── core.py │ │ │ ├── core_test.py │ │ │ ├── initializers.py │ │ │ ├── initializers_test.py │ │ │ ├── normalization.py │ │ │ ├── normalization_test.py │ │ │ ├── pooling.py │ │ │ ├── pooling_test.py │ │ │ ├── rnn.py │ │ │ └── rnn_test.py │ │ ├── learning_rate.py │ │ ├── models │ │ │ ├── __init__.py │ │ │ ├── atari_cnn.py │ │ │ ├── atari_cnn_test.py │ │ │ ├── mlp.py │ │ │ ├── mlp_test.py │ │ │ ├── neural_gpu.py │ │ │ ├── neural_gpu_test.py │ │ │ ├── research │ │ │ │ ├── __init__.py │ │ │ │ ├── position_lookup_transformer.py │ │ │ │ └── transformer_revnet.py │ │ │ ├── resnet.py │ │ │ ├── resnet_test.py │ │ │ ├── transformer.py │ │ │ └── transformer_test.py │ │ ├── optimizers │ │ │ ├── __init__.py │ │ │ └── base.py │ │ ├── rlax │ │ │ ├── __init__.py │ │ │ ├── configs │ │ │ │ ├── atari.gin │ │ │ │ └── online_tune_wide_resnet_cifar10.gin │ │ │ ├── envs │ │ │ │ ├── __init__.py │ │ │ │ ├── fake_env.py │ │ │ │ ├── fake_env_test.py │ │ │ │ ├── online_tune_env.py │ │ │ │ └── online_tune_env_test.py │ │ │ ├── ppo.py │ │ │ ├── ppo_main.py │ │ │ ├── ppo_test.py │ │ │ ├── ppo_training_loop_test.py │ │ │ ├── simulated_env_problem.py │ │ │ └── simulated_env_problem_test.py │ │ ├── trainer.py │ │ ├── trax.py │ │ └── trax_test.py │ ├── utils │ │ ├── __init__.py │ │ ├── adafactor.py │ │ ├── adv_attack_utils.py │ │ ├── avg_checkpoints.py │ │ ├── beam_search.py │ │ ├── beam_search_test.py │ │ ├── bleu_hook.py │ │ ├── bleu_hook_test.py │ │ ├── checkpoint_compatibility_test.py │ │ ├── cloud_mlengine.py │ │ ├── compute_video_metrics.py │ │ ├── data_reader.py │ │ ├── data_reader_test.py │ │ ├── decoding.py │ │ ├── devices.py │ │ ├── diet.py │ │ ├── diet_test.py │ │ ├── expert_utils.py │ │ ├── expert_utils_test.py │ │ ├── flags.py │ │ ├── get_cnndm_rouge.sh │ │ ├── get_ende_bleu.sh │ │ ├── get_rouge.py │ │ ├── hparam.py │ │ ├── hparam_test.py │ │ ├── hparams_lib.py │ │ ├── hparams_lib_test.py │ │ ├── learning_rate.py │ │ ├── metrics.py │ │ ├── metrics_hook.py │ │ ├── metrics_hook_test.py │ │ ├── metrics_test.py │ │ ├── misc_utils.py │ │ ├── misc_utils_test.py │ │ ├── mlperf_log.py │ │ ├── mlperf_tags.py │ │ ├── mtf_model.py │ │ ├── multistep_optimizer.py │ │ ├── multistep_optimizer_test.py │ │ ├── optimize.py │ │ ├── optimize_test.py │ │ ├── pruning_utils.py │ │ ├── quantization.py │ │ ├── registry.py │ │ ├── registry_test.py │ │ ├── restore_hook.py │ │ ├── rouge.py │ │ ├── rouge_test.py │ │ ├── sari_hook.py │ │ ├── sari_hook_test.py │ │ ├── scheduled_sampling.py │ │ ├── t2t_model.py │ │ ├── t2t_model_test.py │ │ ├── test_utils.py │ │ ├── test_utils_test.py │ │ ├── trainer_lib.py │ │ ├── trainer_lib_test.py │ │ ├── update_ops_hook.py │ │ ├── usr_dir.py │ │ ├── video │ │ │ ├── prediction2gif.py │ │ │ └── reward_confusion.py │ │ ├── video2gif.py │ │ ├── video_metrics.py │ │ ├── video_metrics_test.py │ │ ├── yellowfin.py │ │ └── yellowfin_test.py │ ├── v2 │ │ ├── keras_utils.py │ │ ├── models │ │ │ ├── basic.py │ │ │ ├── resnet.py │ │ │ └── transformer.py │ │ ├── t2t.py │ │ └── t2t_trainer.py │ └── visualization │ │ ├── __init__.py │ │ ├── attention.js │ │ ├── attention.py │ │ ├── visualization.py │ │ └── visualization_test.py │ ├── textcnn │ ├── __init__.py │ ├── conv1d_transpose.py │ ├── dgcnn_utils.py │ ├── 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