def answer_ptr(self, output_lstm, question_out, context_len, question_len,
is_train):
init = attention_pooling(question_out, self.hidden_units, question_len,
self.keep_prob, is_train)
logits = pointer_net_qa(output_lstm, init, context_len,
2 * self.hidden_units, self.keep_prob,
is_train)
return logits
def answer_ptr(self, output_lstm, question_out, context_len, question_len,
is_train):
init = attention_pooling(question_out,
output_lstm.get_shape()[-1].value,
question_len,
dropout_keep_prob=self.keep_prob,
is_train=is_train)
logits = pointer_net_qa(output_lstm,
init,
context_len,
init.get_shape()[-1].value,
dropout_keep_prob=self.keep_prob,
is_train=is_train)
return logits