Functions — github.com/649453932/Bert-Chinese-Text-Classification-Pytorch

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Functions349 in github.com/649453932/Bert-Chinese-Text-Classification-Pytorch

⨍ Functions 349◇ Types & classes 95

↓ 1 callersMethodload

(module, prefix="")

pytorch_pretrained/modeling_gpt2.py:451

↓ 1 callersFunctionload_vocab

Loads a vocabulary file into a dictionary.

pytorch_pretrained/tokenization.py:50

↓ 1 callersFunctionmain

()

pytorch_pretrained/__main__.py:2

↓ 1 callersMethodmerge_heads

(self, x)

pytorch_pretrained/modeling_gpt2.py:226

↓ 1 callersMethodmerge_heads

(self, x)

pytorch_pretrained/modeling_openai.py:283

↓ 1 callersMethodreset_length

(self, tgt_len, ext_len, mem_len)

pytorch_pretrained/modeling_transfo_xl.py:1108

↓ 1 callersFunctions3_etag

Check ETag on S3 object.

pytorch_pretrained/file_utils.py:151

↓ 1 callersFunctions3_get

Pull a file directly from S3.

pytorch_pretrained/file_utils.py:160

↓ 1 callersMethodsample

labels: [b1, b2] Return true_log_probs: [b1, b2] samp_log_probs: [n_sample] neg_samples: [n_s

pytorch_pretrained/modeling_transfo_xl_utilities.py:281

↓ 1 callersMethodset_special_tokens

Add a list of additional tokens to the encoder. The additional tokens are indexed starting from the last index of the current

pytorch_pretrained/tokenization_openai.py:160

↓ 1 callersMethodset_special_tokens

Add a list of additional tokens to the encoder. The additional tokens are indexed starting from the last index of the current

pytorch_pretrained/tokenization_gpt2.py:166

↓ 1 callersMethodset_tied

Make sure we are sharing the embeddings

pytorch_pretrained/modeling_gpt2.py:613

↓ 1 callersMethodstep

Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

pytorch_pretrained/optimization.py:237

↓ 1 callersFunctiontest

(config, model, test_iter)

train_eval.py:85

↓ 1 callersFunctiontext_standardize

fixes some issues the spacy tokenizer had on books corpus also does some whitespace standardization

pytorch_pretrained/tokenization_openai.py:58

↓ 1 callersMethodto_dict

Serializes this instance to a Python dictionary.

pytorch_pretrained/modeling_transfo_xl.py:309

↓ 1 callersMethodto_dict

Serializes this instance to a Python dictionary.

pytorch_pretrained/modeling_gpt2.py:171

↓ 1 callersMethodto_dict

Serializes this instance to a Python dictionary.

pytorch_pretrained/modeling.py:213

↓ 1 callersMethodto_dict

Serializes this instance to a Python dictionary.

pytorch_pretrained/modeling_openai.py:217

↓ 1 callersMethodtokenize

Tokenize a string.

pytorch_pretrained/tokenization_openai.py:219

↓ 1 callersMethodtokenize

(self, text)

pytorch_pretrained/tokenization.py:107

↓ 1 callersMethodtokenize

Tokenize a string.

pytorch_pretrained/tokenization_gpt2.py:220

↓ 1 callersFunctiontrain

(config, model, train_iter, dev_iter, test_iter)

train_eval.py:31

↓ 1 callersFunctionurl_to_filename

Convert `url` into a hashed filename in a repeatable way. If `etag` is specified, append its hash to the url's, delimited by a period.

pytorch_pretrained/file_utils.py:44

Method__init__

(self, batches, batch_size, device)

utils.py:43

Method__init__

(self, vocab_file, merges_file, special_tokens=None, max_len=None)

pytorch_pretrained/tokenization_openai.py:134

Method__init__

Constructs TransfoXLConfig. Args: vocab_size_or_config_json_file: Vocabulary size of `inputs_ids` in `TransfoXLModel` or a config

pytorch_pretrained/modeling_transfo_xl.py:187

Method__init__

(self, demb)

pytorch_pretrained/modeling_transfo_xl.py:325

Method__init__

(self, d_model, d_inner, dropout, pre_lnorm=False)

pytorch_pretrained/modeling_transfo_xl.py:344

Method__init__

(self, n_head, d_model, d_head, dropout, dropatt=0, pre_lnorm=False, r_r_bias=None, r_w_bias

pytorch_pretrained/modeling_transfo_xl.py:379

Method__init__

(self, n_head, d_model, d_head, dropout, dropatt=0, tgt_len=None, ext_len=None, mem_len=None,

pytorch_pretrained/modeling_transfo_xl.py:460

Method__init__

(self, *args, **kwargs)

pytorch_pretrained/modeling_transfo_xl.py:538

Method__init__

(self, *args, **kwargs)

pytorch_pretrained/modeling_transfo_xl.py:619

Method__init__

(self, n_head, d_model, d_head, d_inner, dropout, **kwargs)

pytorch_pretrained/modeling_transfo_xl.py:720

Method__init__

(self, n_head, d_model, d_head, d_inner, dropout, **kwargs)

pytorch_pretrained/modeling_transfo_xl.py:739

Method__init__

(self, n_token, d_embed, d_proj, cutoffs, div_val=1, sample_softmax=False)

pytorch_pretrained/modeling_transfo_xl.py:759

Method__init__

(self, config, *inputs, **kwargs)

pytorch_pretrained/modeling_transfo_xl.py:826

Method__init__

(self, config)

pytorch_pretrained/modeling_transfo_xl.py:1029

Method__init__

(self, config)

pytorch_pretrained/modeling_transfo_xl.py:1316

Method__init__

Constructs a BertTokenizer. Args: vocab_file: Path to a one-wordpiece-per-line vocabulary file do_lower_case: Whether to

pytorch_pretrained/tokenization.py:77

Method__init__

Constructs a BasicTokenizer. Args: do_lower_case: Whether to lower case the input.

pytorch_pretrained/tokenization.py:204

Method__init__

(self, vocab, unk_token="[UNK]", max_input_chars_per_word=100)

pytorch_pretrained/tokenization.py:321

Method__init__

(self, vocab_file, merges_file, errors='replace', special_tokens=None, max_len=None)

pytorch_pretrained/tokenization_gpt2.py:144

Method__init__

(self, special=[], min_freq=0, max_size=None, lower_case=False, delimiter=None, vocab_file=No

pytorch_pretrained/tokenization_transfo_xl.py:96

Method__init__

data -- LongTensor -- the LongTensor is strictly ordered

pytorch_pretrained/tokenization_transfo_xl.py:280

Method__init__

data -- list[LongTensor] -- there is no order among the LongTensors

pytorch_pretrained/tokenization_transfo_xl.py:338

Method__init__

(self, paths, vocab, bsz, bptt, device='cpu', ext_len=None, shuffle=False)

pytorch_pretrained/tokenization_transfo_xl.py:418

Method__init__

(self, *args, **kwargs)

pytorch_pretrained/tokenization_transfo_xl.py:494

Method__init__

:param warmup: what fraction of t_total steps will be used for linear warmup :param t_total: how many training steps (updates) are p

pytorch_pretrained/optimization.py:38

Method__init__

:param warmup: see LRSchedule :param t_total: see LRSchedule :param cycles: number of cycles. Default: 0.5, cor

pytorch_pretrained/optimization.py:93

Method__init__

(self, warmup=0.002, t_total=-1, cycles=1., **kw)

pytorch_pretrained/optimization.py:117

Method__init__

(self, warmup=0.002, t_total=-1, cycles=1., **kw)

pytorch_pretrained/optimization.py:136

Method__init__

(self, n_token, d_embed, d_proj, cutoffs, div_val=1, keep_order=False)

pytorch_pretrained/modeling_transfo_xl_utilities.py:32

Method__init__

(self, params, lr=required, schedule='warmup_linear', warmup=-1, t_total=-1, b1=0.9, b2=0.999

pytorch_pretrained/optimization_openai.py:32

Method__init__

Constructs GPT2Config. Args: vocab_size_or_config_json_file: Vocabulary size of `inputs_ids` in `GPT2Model` or a configuration js

pytorch_pretrained/modeling_gpt2.py:107

Method__init__

(self, nf, nx)

pytorch_pretrained/modeling_gpt2.py:187

Method__init__

(self, nx, n_ctx, config, scale=False)

pytorch_pretrained/modeling_gpt2.py:203

Method__init__

(self, n_ctx, config, scale=False)

pytorch_pretrained/modeling_gpt2.py:271

Method__init__

(self, model_embeddings_weights, config)

pytorch_pretrained/modeling_gpt2.py:290

Method__init__

(self, config)

pytorch_pretrained/modeling_gpt2.py:310

Method__init__

(self, config, *inputs, **kwargs)

pytorch_pretrained/modeling_gpt2.py:336

Method__init__

(self, config)

pytorch_pretrained/modeling_gpt2.py:522

Method__init__

(self, config)

pytorch_pretrained/modeling_gpt2.py:607

Method__init__

(self, config)

pytorch_pretrained/modeling_gpt2.py:683

Method__init__

Constructs BertConfig. Args: vocab_size_or_config_json_file: Vocabulary size of `inputs_ids` in `BertModel`. hidden_s

pytorch_pretrained/modeling.py:137

Method__init__

Construct a layernorm module in the TF style (epsilon inside the square root).

pytorch_pretrained/modeling.py:232

Method__init__

(self, config)

pytorch_pretrained/modeling.py:249

Method__init__

(self, config)

pytorch_pretrained/modeling.py:278

Method__init__

(self, config)

pytorch_pretrained/modeling.py:329

Method__init__

(self, config)

pytorch_pretrained/modeling.py:343

Method__init__

(self, config)

pytorch_pretrained/modeling.py:355

Method__init__

(self, config)

pytorch_pretrained/modeling.py:370

Method__init__

(self, config)

pytorch_pretrained/modeling.py:398

Method__init__

(self, config)

pytorch_pretrained/modeling.py:415

Method__init__

(self, config)

pytorch_pretrained/modeling.py:430

Method__init__

(self, config, bert_model_embedding_weights)

pytorch_pretrained/modeling.py:447

Method__init__

(self, config, bert_model_embedding_weights)

pytorch_pretrained/modeling.py:466

Method__init__

(self, config)

pytorch_pretrained/modeling.py:476

Method__init__

(self, config, bert_model_embedding_weights)

pytorch_pretrained/modeling.py:486

Method__init__

(self, config, *inputs, **kwargs)

pytorch_pretrained/modeling.py:501

Method__init__

(self, config)

pytorch_pretrained/modeling.py:702

Method__init__

(self, config)

pytorch_pretrained/modeling.py:791

Method__init__

(self, config)

pytorch_pretrained/modeling.py:854

Method__init__

(self, config)

pytorch_pretrained/modeling.py:916

Method__init__

(self, config, num_labels)

pytorch_pretrained/modeling.py:980

Method__init__

(self, config, num_choices)

pytorch_pretrained/modeling.py:1045

Method__init__

(self, config, num_labels)

pytorch_pretrained/modeling.py:1115

Method__init__

(self, config)

pytorch_pretrained/modeling.py:1190

Method__init__

Constructs OpenAIGPTConfig. Args: vocab_size_or_config_json_file: Vocabulary size of `inputs_ids` in `OpenAIGPTModel` or a config

pytorch_pretrained/modeling_openai.py:131

Method__init__

(self, nf, rf, nx)

pytorch_pretrained/modeling_openai.py:233

Method__init__

(self, nx, n_ctx, config, scale=False)

pytorch_pretrained/modeling_openai.py:256

Method__init__

(self, n_ctx, config, scale=False)

pytorch_pretrained/modeling_openai.py:325

Method__init__

(self, model_embeddings_weights, config)

pytorch_pretrained/modeling_openai.py:344

Method__init__

(self, config)

pytorch_pretrained/modeling_openai.py:364

Method__init__

(self, config, *inputs, **kwargs)

pytorch_pretrained/modeling_openai.py:393

Method__init__

(self, config)

pytorch_pretrained/modeling_openai.py:593

Method__init__

(self, config)

pytorch_pretrained/modeling_openai.py:704

Method__init__

(self, config)

pytorch_pretrained/modeling_openai.py:793

Method__init__

(self, dataset)

models/bert_DPCNN.py:12

Method__init__

(self, config)

models/bert_DPCNN.py:36

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