rnn_encoder_test.py 文件源码

def _test_encode_with_params(self, params):
    """Tests the StackBidirectionalRNNEncoder with a specific cell"""
    inputs = tf.random_normal(
        [self.batch_size, self.sequence_length, self.input_depth])
    example_length = tf.ones(
        self.batch_size, dtype=tf.int32) * self.sequence_length

    encode_fn = rnn_encoder.StackBidirectionalRNNEncoder(params, self.mode)
    encoder_output = encode_fn(inputs, example_length)

    with self.test_session() as sess:
      sess.run(tf.global_variables_initializer())
      encoder_output_ = sess.run(encoder_output)

    output_size = encode_fn.params["rnn_cell"]["cell_params"]["num_units"]

    np.testing.assert_array_equal(
        encoder_output_.outputs.shape,
        [self.batch_size, self.sequence_length, output_size * 2])

    return encoder_output_