Functions — github.com/dgai91/pytorch-acnn-model

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Functions16 in github.com/dgai91/pytorch-acnn-model

⨍ Functions 16 ◇ Types & classes 3

↓ 4 callersFunctionpos

map the relative distance between [0, 123)

attention/utils.py:65

↓ 2 callersFunctiongen_dataloader

(data, word_dict, arg)

acnn_train.py:11

↓ 2 callersFunctionload_data

attention/utils.py:8

↓ 2 callersFunctionmodel_run

(opt, dataloader, loss_func, model, all_y, optimizer=None)

acnn_train.py:56

↓ 1 callersMethod__init__

(self, opt, embedding)

attention/pyt_acnn.py:7

↓ 1 callersMethodattentive_pooling

attention/pyt_acnn.py:59

↓ 1 callersFunctionbuild_dict

attention/utils.py:25

↓ 1 callersFunctiondata_unpack

acnn_train.py:24

↓ 1 callersMethodinput_attention

(self, input_tuple, is_training=True)

attention/pyt_acnn.py:27

↓ 1 callersFunctionload_embedding

(emb_file, emb_vocab, word_dict)

attention/utils.py:37

↓ 1 callersFunctionprediction

(wo, rel_weight, y, all_y)

acnn_train.py:37

↓ 1 callersFunctionvectorize

(data, word_dict, max_len)

attention/utils.py:77

(self, nr, margin=1)

attention/pyt_acnn.py:76

(self, input_tuple, is_training=True)

attention/pyt_acnn.py:67

(self, wo, rel_weight, in_y, all_y)

attention/pyt_acnn.py:81

user can update the default hyperparamter

attention/config.py:26