Method__init__(self, cell, is_train, input_keep_prob=1.0, output_keep_prob=1.0,
seed=None)
python/my/tensorflow/rnn_cell.py:9
Method__init__(self, config, seq_length, emb_dim, hidden_dim, emb_train, embeddings = None, pred_size = 3, context_seq_len
python/models/attmix_CNN.py:12
Method__init__(self, config, seq_length, emb_dim, hidden_dim, emb_train, embeddings = None, pred_size = 3, context_seq_len
python/models/DIIN.py:8
Functionbidirectional_dynamic_rnn(cell_fw, cell_bw, inputs, sequence_length=None,
initial_state_fw=None, initial_
python/my/tensorflow/rnn.py:51
Functionbw_dynamic_rnn(cell, inputs, sequence_length=None, initial_state=None,
dtype=None, parallel_iterations=No
python/my/tensorflow/rnn.py:30
Methoddouble_linear_controller :param inputs: [N, i] :param state: [N, d] :param memory: [N, M, m] :return: [N, M]
python/my/tensorflow/rnn_cell.py:157
Functiondynamic_rnn(cell, inputs, sequence_length=None, initial_state=None,
dtype=None, parallel_iterations=None,
python/my/tensorflow/rnn.py:9
Methodmodel_one_side(config, main, support, main_length, support_length, main_mask, support_mask, scope)
python/models/attmix_CNN.py:337
Methodmodel_one_side(config, main, support, main_length, support_length, main_mask, support_mask, scope)
python/models/DIIN.py:110