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Functions2,038 in github.com/HA-Transformer/MAT

⨍ Functions 2,038◇ Types & classes 299
Method__init__
(self, args, optimizer)
fairseq/optim/lr_scheduler/fixed_schedule.py:13
Method__init__
(self, dataset, sort_order)
fairseq/data/sort_dataset.py:13
Method__init__
(self, iterable, start=0)
fairseq/data/iterators.py:25
Method__init__
( self, dataset, epoch=0, num_shards=1, shard_id=0, )
fairseq/data/iterators.py:75
Method__init__
( self, dataset, collate_fn, batch_sampler, seed=1, num_shards=1, shard_id=0, num_workers=0, e
fairseq/data/iterators.py:143
Method__init__
(self, iterable, chunk_size)
fairseq/data/iterators.py:270
Method__init__
(self, iterable, num_shards, shard_id, fill_value=None)
fairseq/data/iterators.py:304
Method__init__
(self, dataset, pad_idx)
fairseq/data/pad_dataset.py:24
Method__init__
(self, dataset, pad_idx)
fairseq/data/pad_dataset.py:30
Method__init__
(self, defn, sizes=None)
fairseq/data/nested_dictionary_dataset.py:49
Method__init__
( self, src, src_sizes, src_dict, tgt=None, tgt_sizes=None, tgt_dict=None, left_pad_so
fairseq/data/language_pair_dataset.py:96
Method__init__
( self, pad='<pad>', eos='</s>', unk='<unk>', bos='<s>', extra
fairseq/data/dictionary.py:20
Method__init__
(self, wrapped_dict, length)
fairseq/data/dictionary.py:309
Method__init__
(self, labels)
fairseq/data/raw_label_dataset.py:13
Method__init__
(self, datasets, eval_key=None)
fairseq/data/round_robin_zip_datasets.py:26
Method__init__
(self, dataset, truncation_length)
fairseq/data/truncate_dataset.py:13
Method__init__
(self, *datasets)
fairseq/data/concat_sentences_dataset.py:13
Method__init__
(self, dataset, id_to_strip)
fairseq/data/strip_token_dataset.py:11
Method__init__
(self, dataset, sizes, src_vocab, tgt_vocab, add_eos_for_other_targets, shuffle, targets=None
fairseq/data/monolingual_dataset.py:62
Method__init__
( self, dataset, sizes, block_size, pad, eos, break_mode=None, include_targets=False, document
fairseq/data/token_block_dataset.py:37
Method__init__
(self, dataset, offset)
fairseq/data/offset_tokens_dataset.py:11
Method__init__
(self, dataset)
fairseq/data/base_wrapper_dataset.py:13
Method__init__
(self, dataset, sizes=None)
fairseq/data/list_dataset.py:11
Method__init__
(self, dataset, token=None)
fairseq/data/prepend_token_dataset.py:14
Method__init__
(self, datasets, sample_ratios=1)
fairseq/data/concat_dataset.py:24
Method__init__
(self, dictionary, default_dropout_prob=0.1, bpe_cont_marker="@@", bpe_end_marker=None)
fairseq/data/noising.py:73
Method__init__
(self, dictionary, default_max_shuffle_distance=3, bpe_cont_marker="@@", bpe_end_marker=None)
fairseq/data/noising.py:147
Method__init__
( self, dictionary, max_word_shuffle_distance, word_dropout_prob, word
fairseq/data/noising.py:192
Method__init__
Wrap a :class:`~torch.utils.data.Dataset` and apply noise to the samples based on the supplied noising configuration. Args:
fairseq/data/noising.py:242
Method__init__
( self, dataset: torch.utils.data.Dataset, vocab: Dictionary, pad_idx: int,
fairseq/data/mask_tokens_dataset.py:54
Method__init__
(self, path, fix_lua_indexing=False)
fairseq/data/indexed_dataset.py:184
Method__init__
(self, path, dictionary, append_eos=True, reverse_order=False)
fairseq/data/indexed_dataset.py:234
Method__init__
(self, out_file, dtype=np.int32)
fairseq/data/indexed_dataset.py:296
Method__init__
(self, path)
fairseq/data/indexed_dataset.py:397
Method__init__
(self, path)
fairseq/data/indexed_dataset.py:441
Method__init__
(self, out_file, dtype=np.int64)
fairseq/data/indexed_dataset.py:497
Method__init__
( self, datasets: Dict[str, FairseqDataset], sampling_func: Callable[[List], int] = No
fairseq/data/multi_corpus_sampled_dataset.py:31
Method__init__
(self, dataset, tokens_per_sample, context_window, pad_idx)
fairseq/data/lm_context_window_dataset.py:17
Method__init__
( self, dataset: FairseqDataset, src_eos: int, new_src_eos: Optional[int] = No
fairseq/data/transform_eos_lang_pair_dataset.py:27
Method__init__
(self, array)
fairseq/data/plasma_utils.py:18
Method__init__
( self, dataset, eos, append_eos_to_src=False, remove_eos_from_src=Fal
fairseq/data/transform_eos_dataset.py:25
Method__init__
(self, dataset, token=None)
fairseq/data/lru_cache_dataset.py:13
Method__init__
(self, dataset, reduce=False)
fairseq/data/numel_dataset.py:14
Method__init__
( self, tgt_dataset, src_dict, tgt_dict=None, backtranslation_fn=None,
fairseq/data/backtranslation_dataset.py:78
Method__init__
( self, dataset: FairseqDataset, sizes: np.ndarray, vocab: Dic
fairseq/data/legacy/masked_lm_dataset.py:57
Method__init__
( self, pad='<pad>', eos='</s>', unk='<unk>', mask='<mask>', )
fairseq/data/legacy/masked_lm_dictionary.py:14
Method__init__
( self, dataset, dictionary, sizes, block_size, break_mode="do
fairseq/data/legacy/block_pair_dataset.py:37
Method__init__
(self, args)
fairseq/data/encoders/subword_nmt_bpe.py:22
Method__init__
(self, args)
fairseq/data/encoders/moses_tokenizer.py:25
Method__init__
(self, args)
fairseq/data/encoders/fastbpe.py:20
Method__init__
(self, source_lang=None, target_lang=None)
fairseq/data/encoders/nltk_tokenizer.py:12
Method__init__
(self, encoder, bpe_merges, errors='replace')
fairseq/data/encoders/gpt2_bpe_utils.py:47
Method__init__
(self, args)
fairseq/data/encoders/gpt2_bpe.py:30
Method__init__
(self, source_lang=None, target_lang=None)
fairseq/data/encoders/space_tokenizer.py:14
Method__init__
(self, args)
fairseq/data/encoders/sentencepiece_bpe.py:20
Method__init__
(self, manifest_path, sample_rate, max_sample_size=None, min_sample_size=None, shuffle=True)
fairseq/data/audio/raw_audio_dataset.py:18
Method__init__
(self, args, src_dict, tgt_dict)
fairseq/tasks/translation_moe.py:57
Method__init__
(self, args, dicts, training)
fairseq/tasks/multilingual_translation.py:96
Method__init__
(self, args, dictionary)
fairseq/tasks/legacy_masked_lm.py:44
Method__init__
(self, args, data_dictionary, label_dictionary)
fairseq/tasks/sentence_prediction.py:55
Method__init__
(self, args)
fairseq/tasks/fairseq_task.py:23
Method__init__
(self, args, src_dict, tgt_dict)
fairseq/tasks/translation.py:128
Method__init__
(self, args, dictionary)
fairseq/tasks/masked_lm.py:58
Method__init__
(self, args, dictionary, output_dictionary=None, targets=None)
fairseq/tasks/language_modeling.py:84
Method__init__
(self, args, dictionary)
fairseq/tasks/cross_lingual_lm.py:57
Method__init__
(self, args, dicts, training)
fairseq/tasks/semisupervised_translation.py:115
Method__init__
(self, args)
fairseq/tasks/audio_pretraining.py:29
Method__init__
(self, args, dictionary)
fairseq/tasks/sentence_ranking.py:54
Method__init__
(self, dictionary)
fairseq/models/fairseq_decoder.py:14
Method__init__
( self, dictionary, embed_dim=512, embed_dict=None, max_positions=1024, convolutions=((512, 3)
fairseq/models/fconv.py:140
Method__init__
(self, conv_channels, embed_dim, bmm=None)
fairseq/models/fconv.py:287
Method__init__
( self, dictionary, embed_dim=512, embed_dict=None, out_embed_dim=256, max_positions=1024, con
fairseq/models/fconv.py:341
Method__init__
(self, args, dictionary, embed_tokens)
fairseq/models/lightconv.py:188
Method__init__
(self, args, dictionary, embed_tokens, no_encoder_attn=False, final_norm=True)
fairseq/models/lightconv.py:291
Method__init__
(self, args, kernel_size=0)
fairseq/models/lightconv.py:437
Method__init__
(self, args, no_encoder_attn=False, kernel_size=0)
fairseq/models/lightconv.py:527
Method__init__
(self, decoder)
fairseq/models/lightconv_lm.py:24
Method__init__
(self, dictionary)
fairseq/models/fairseq_incremental_decoder.py:31
Method__init__
(self, encoder, decoder, pretrained_encoder=None)
fairseq/models/fconv_self_att.py:41
Method__init__
( self, dictionary, embed_dim=512, out_embed_dim=256, max_positions=1024, convolutions=((512,
fairseq/models/fconv_self_att.py:276
Method__init__
(self, out_channels, embed_dim, num_heads, project_input=False, gated=False, downsample=False)
fairseq/models/fconv_self_att.py:471
Method__init__
(self)
fairseq/models/fairseq_model.py:23
Method__init__
(self, encoder, decoder)
fairseq/models/fairseq_model.py:190
Method__init__
(self, encoders, decoders)
fairseq/models/fairseq_model.py:265
Method__init__
(self, decoder)
fairseq/models/fairseq_model.py:346
Method__init__
(self, encoder)
fairseq/models/fairseq_model.py:404
Method__init__
(self, *args, **kwargs)
fairseq/models/distributed_fairseq_model.py:57
Method__init__
(self, args, dictionary)
fairseq/models/masked_lm.py:129
Method__init__
(self, args)
fairseq/models/wav2vec.py:80
Method__init__
(self, deconstruct_idx=None)
fairseq/models/wav2vec.py:212
Method__init__
(self, *args, **kwargs)
fairseq/models/wav2vec.py:223
Method__init__
(self, *args, **kwargs)
fairseq/models/wav2vec.py:234
Method__init__
(self, conv_layers, dropout, log_compression, skip_connections, residual_scale, non_affine_group_norm)
fairseq/models/wav2vec.py:258
Method__init__
(self, conv_layers, embed, dropout, skip_connections, residual_scale, non_affine_group_norm, conv_bias,
fairseq/models/wav2vec.py:312
Method__init__
(self, in_dim, out_dim, prediction_steps, n_negatives, cross_sample_negatives, sample_distance,
fairseq/models/wav2vec.py:361
Method__init__
(self, dictionary)
fairseq/models/fairseq_encoder.py:12
Method__init__
(self, args, dictionary, embed_tokens)
fairseq/models/transformer.py:197
Method__init__
(self, args, dictionary, embed_tokens, no_encoder_attn=False)
fairseq/models/transformer.py:324
Method__init__
(self, encoders, decoders)
fairseq/models/multilingual_transformer.py:40
Method__init__
(self, encoders)
fairseq/models/composite_encoder.py:20
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