def build_graph(self):
parameters = self.parameters
with tf.variable_scope(name_or_scope=self.scope, initializer=tf.uniform_unit_scaling_initializer()):
seq_ids_pl, seq_other_ids_pls, inputs = self.build_input_graph(vocab_size=parameters['vocab_size'],
emb_size=parameters['emb_size'],
word_window_size=parameters['word_window_size'],
word_vocab_size=parameters['word_vocab_size'],
word_emb_size=parameters['word_emb_size'])
stag_ids_pl, seq_lengths_pl, is_train_pl, cost_op, train_cost_op, scores_op, summary_op = \
self.build_tagging_graph(inputs=inputs,
num_tags=parameters['num_tags'],
use_crf=parameters['use_crf'],
lamd=parameters['lamd'],
dropout_emb=parameters['dropout_emb'],
dropout_hidden=parameters['dropout_hidden'],
hidden_layers=parameters['hidden_layers'],
channels=parameters['channels'],
kernel_size=parameters['kernel_size'],
use_bn=parameters['use_bn'],
use_wn=parameters['use_wn'],
active_type=parameters['active_type'])
self.seq_ids_pl = seq_ids_pl
self.seq_other_ids_pls = seq_other_ids_pls
self.stag_ids_pl = stag_ids_pl
self.seq_lengths_pl = seq_lengths_pl
self.is_train_pl = is_train_pl
self.cost_op = cost_op
self.train_cost_op = train_cost_op
self.scores_op = scores_op
self.summary_op = summary_op
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