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Functions287 in github.com/MorvanZhou/NLP-Tutorials

↓ 1 callersMethodmask
(self, seqs)
pytorch/GPT.py:58
↓ 1 callersMethodplot
(self, data)
simple_realize/skip-gram.py:63
↓ 1 callersFunctionrandom_mask_or_replace
(data, arange, batch_size)
BERT.py:65
↓ 1 callersFunctionrandom_mask_or_replace
(data,arange,dataset)
pytorch/BERT.py:60
↓ 1 callersMethodscaled_dot_product_attention
(self, q, k, v, mask=None)
transformer.py:45
↓ 1 callersMethodscaled_dot_product_attention
(self, q, k, v, mask=None)
pytorch/transformer.py:54
↓ 1 callersMethodstep
(self, x, y)
CBOW.py:68
↓ 1 callersMethodstep
(self, seqs)
ELMo.py:53
↓ 1 callersMethodstep
(self, seqs, segs, seqs_, nsp_labels)
GPT.py:54
↓ 1 callersMethodstep
(self, x, y)
transformer.py:168
↓ 1 callersMethodstep
(self, seqs, segs, seqs_, loss_mask, nsp_labels)
BERT.py:25
↓ 1 callersMethodstep
(self, x, y)
skip-gram.py:67
↓ 1 callersMethodstep
(self,x,y)
pytorch/seq2seq_attention.py:93
↓ 1 callersMethodstep
(self,x,y)
pytorch/cnn_lm.py:80
↓ 1 callersMethodstep
(self,x,y)
pytorch/CBOW.py:55
↓ 1 callersMethodstep
(self,x,y)
pytorch/seq2seq.py:76
↓ 1 callersMethodstep
(self,seqs)
pytorch/ELMo.py:48
↓ 1 callersMethodstep
(self, seqs, segs, seqs_, nsp_labels)
pytorch/GPT.py:43
↓ 1 callersMethodstep
(self, x, y)
pytorch/transformer.py:181
↓ 1 callersMethodstep
(self,seqs,segs,seqs_, loss_mask,nsp_labels)
pytorch/BERT.py:22
↓ 1 callersMethodstep
(self,x,y)
pytorch/skip_gram.py:55
↓ 1 callersFunctiontrain
()
seq2seq_attention.py:109
↓ 1 callersFunctiontrain
(model, data)
CBOW.py:76
↓ 1 callersFunctiontrain
()
seq2seq.py:86
↓ 1 callersFunctiontrain
()
cnn-lm.py:95
↓ 1 callersFunctiontrain
(model, data, step)
ELMo.py:73
↓ 1 callersFunctiontrain
(model, data, step)
transformer.py:219
↓ 1 callersFunctiontrain
(model, data, step=10000, name="bert")
BERT.py:95
↓ 1 callersFunctiontrain
(model, data)
skip-gram.py:75
↓ 1 callersFunctiontrain
()
simple_realize/seq2seq_attention.py:137
↓ 1 callersFunctiontrain
()
simple_realize/seq2seq.py:109
↓ 1 callersFunctiontrain
()
simple_realize/cnn-lm.py:121
↓ 1 callersFunctiontrain
(model: Transformer, data)
simple_realize/transformer.py:269
↓ 1 callersFunctiontrain
()
pytorch/seq2seq_attention.py:104
↓ 1 callersFunctiontrain
()
pytorch/cnn_lm.py:91
↓ 1 callersFunctiontrain
(model,data)
pytorch/CBOW.py:62
↓ 1 callersFunctiontrain
()
pytorch/seq2seq.py:86
↓ 1 callersFunctiontrain
()
pytorch/ELMo.py:73
↓ 1 callersFunctiontrain
()
pytorch/GPT.py:73
↓ 1 callersFunctiontrain
(emb_dim=32,n_layer=3,n_head=4)
pytorch/transformer.py:229
↓ 1 callersFunctiontrain
()
pytorch/BERT.py:96
↓ 1 callersFunctiontrain
(model,data)
pytorch/skip_gram.py:62
↓ 1 callersMethodtrain_logit
(self,x,y)
pytorch/seq2seq_attention.py:66
↓ 1 callersMethodtrain_logit
(self,x,y)
pytorch/cnn_lm.py:67
↓ 1 callersMethodtrain_logit
(self,x,y)
pytorch/seq2seq.py:62
↓ 1 callersMethodtrain_logits
(self, x, y, seq_len)
seq2seq_attention.py:91
↓ 1 callersMethodtrain_logits
(self, x, y, seq_len)
seq2seq.py:68
↓ 1 callersMethodtrain_logits
(self, x, y, seq_len)
cnn-lm.py:77
↓ 1 callersFunctiontransformer_attention_line
(case=0)
visual.py:186
↓ 1 callersFunctiontransformer_attention_matrix
(case=0)
visual.py:121
↓ 1 callersMethodtranslate
(self, src, v2i, i2v)
transformer.py:189
↓ 1 callersMethodtranslate
(self, src, i2v, v2i)
simple_realize/transformer.py:205
↓ 1 callersMethodtranslate
(self, src, v2i, i2v)
pytorch/transformer.py:205
Method__getitem__
(self, index)
pytorch/utils.py:44
Method__getitem__
(self,idx)
pytorch/utils.py:198
Method__getitem__
(self, index)
pytorch/utils.py:245
Method__init__
(self, enc_v_dim, dec_v_dim, emb_dim, units, attention_layer_size, max_pred_len, start_token, end_token)
seq2seq_attention.py:11
Method__init__
(self, v_dim, emb_dim)
CBOW.py:35
Method__init__
(self, enc_v_dim, dec_v_dim, emb_dim, units, max_pred_len, start_token, end_token)
seq2seq.py:10
Method__init__
(self, enc_v_dim, dec_v_dim, emb_dim, units, max_pred_len, start_token, end_token)
cnn-lm.py:11
Method__init__
(self, model_dim, max_len, n_layer, n_head, n_vocab, lr, max_seg=3, drop_rate=0.1, padding_idx=0)
BERT_window_mask.py:7
Method__init__
(self, n)
utils.py:13
Method__init__
(self, data_dir="./MRPC/", rows=None, proxy=None)
utils.py:119
Method__init__
(self, data_dir="./MRPC/", rows=None, proxy=None)
utils.py:164
Method__init__
(self, x, y, v2i, i2v)
utils.py:191
Method__init__
(self, v_dim, emb_dim, units, n_layers, lr)
ELMo.py:10
Method__init__
(self, model_dim, max_len, n_layer, n_head, n_vocab, lr, max_seg=3, drop_rate=0.1, padding_idx=0)
GPT.py:12
Method__init__
(self, n_head, model_dim, drop_rate)
transformer.py:18
Method__init__
(self, model_dim)
transformer.py:58
Method__init__
(self, n_head, model_dim, drop_rate)
transformer.py:71
Method__init__
(self, n_head, model_dim, drop_rate)
transformer.py:98
Method__init__
(self, n_head, model_dim, drop_rate, n_layer)
transformer.py:116
Method__init__
(self, max_len, model_dim, n_vocab)
transformer.py:127
Method__init__
(self, model_dim, max_len, n_layer, n_head, n_vocab, drop_rate=0.1, padding_idx=0)
transformer.py:146
Method__init__
(self, model_dim, max_len, n_layer, n_head, n_vocab, lr, max_seg=3, drop_rate=0.1, padding_idx=0)
BERT.py:12
Method__init__
(self, v_dim, emb_dim)
skip-gram.py:35
Method__init__
(self,dec_v_dim,**kwargs)
simple_realize/seq2seq_attention.py:18
Method__init__
(self, data, log_dir='logs/seq2seq_attention', histogram_freq=1, write_graph=True, write_images=True,
simple_realize/seq2seq_attention.py:114
Method__init__
(self, data, log_dir='logs/CBOW', histogram_freq=1, write_graph=True, write_images=True, embe
simple_realize/CBOW.py:55
Method__init__
(self, data, log_dir='logs/seq2seq', histogram_freq=1, write_graph=True, write_images=True, e
simple_realize/seq2seq.py:86
Method__init__
(self, data, log_dir='logs/cnn-lm', histogram_freq=1, write_graph=True, write_images=True, em
simple_realize/cnn-lm.py:98
Method__init__
(self, n_head)
simple_realize/transformer.py:22
Method__init__
(self, n_head)
simple_realize/transformer.py:67
Method__init__
(self, n_head, n_layer)
simple_realize/transformer.py:87
Method__init__
(self, n_head)
simple_realize/transformer.py:104
Method__init__
(self, n_head, n_layer)
simple_realize/transformer.py:126
Method__init__
(self, max_len, model_dim, n_vocab)
simple_realize/transformer.py:143
Method__init__
(self, model_dim, max_len, n_encoder_layer, n_decoder_layer, n_head, n_vocab, padding_idx=0)
simple_realize/transformer.py:168
Method__init__
(self, data, log_dir='logs/transformer', histogram_freq=1, write_graph=True, write_images=True,
simple_realize/transformer.py:240
Method__init__
(self, data, log_dir='logs/skip-gram', histogram_freq=1, write_graph=True, write_images=True,
simple_realize/skip-gram.py:55
Method__init__
(self,enc_v_dim, dec_v_dim, emb_dim, units, max_pred_len, start_token, end_token)
pytorch/seq2seq_attention.py:9
Method__init__
(self,enc_v_dim, dec_v_dim, emb_dim, units, max_pred_len, start_token, end_token)
pytorch/cnn_lm.py:12
Method__init__
(self,v_dim,emb_dim)
pytorch/CBOW.py:34
Method__init__
(self,enc_v_dim, dec_v_dim, emb_dim, units, max_pred_len, start_token, end_token)
pytorch/seq2seq.py:10
Method__init__
(self,n)
pytorch/utils.py:13
Method__init__
(self,x,y,v2i,i2v)
pytorch/utils.py:62
Method__init__
(self, data_dir="./MRPC/", rows=None, proxy=None)
pytorch/utils.py:170
Method__init__
(self,data_dir="./MRPC/",rows = None, proxy= None)
pytorch/utils.py:220
Method__init__
(self, v_dim, emb_dim, units, n_layers, lr)
pytorch/ELMo.py:11
Method__init__
(self, model_dim, max_len, num_layer, num_head, n_vocab, lr, max_seg=3, drop_rate=0.2,padding_idx=0)
pytorch/GPT.py:14
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