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improve performance #147

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improve performance #147

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2 changes: 1 addition & 1 deletion a09_DynamicMemoryNet/a8_dynamic_memory_network.py
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Original file line number Diff line number Diff line change
Expand Up @@ -148,9 +148,9 @@ def answer_module(self):
y_pred=tf.zeros((self.batch_size,self.hidden_size)) #TODO usually we will init this as a special token '<GO>', you can change this line by pass embedding of '<GO>' from outside.
logits_list=[]
logits_return=None
y_previous_q = tf.concat([y_pred, self.query_embedding], axis=1) # [batch_hidden_size*2]
for i in range(steps):
cell = rnn.GRUCell(self.hidden_size)
y_previous_q=tf.concat([y_pred,self.query_embedding],axis=1) #[batch_hidden_size*2]
_, a = cell( y_previous_q,a)
logits=tf.layers.dense(a,units=self.num_classes) #[batch_size,vocab_size]
logits_list.append(logits)
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