def testDynamicAttentionDecoder2(self):
with self.test_session() as sess:
with variable_scope.variable_scope(
"root", initializer=init_ops.constant_initializer(0.5)):
cell = core_rnn_cell_impl.GRUCell(2)
inp = constant_op.constant(0.5, shape=[2, 2, 2])
enc_outputs, enc_state = rnn.dynamic_rnn(
cell, inp, dtype=dtypes.float32)
attn_states = enc_outputs
dec_inp = [constant_op.constant(0.4, shape=[2, 2])] * 3
dec, mem = seq2seq_lib.attention_decoder(
dec_inp, enc_state, attn_states, cell, output_size=4, num_heads=2)
sess.run([variables.global_variables_initializer()])
res = sess.run(dec)
self.assertEqual(3, len(res))
self.assertEqual((2, 4), res[0].shape)
res = sess.run([mem])
self.assertEqual((2, 2), res[0].shape)
seq2seq_test.py 文件源码
python
阅读 23
收藏 0
点赞 0
评论 0
评论列表
文章目录