bridges.py 文件源码

def _create(self):
    # Concat bridge inputs on the depth dimensions
    bridge_input = nest.map_structure(
        lambda x: tf.reshape(x, [self.batch_size, _total_tensor_depth(x)]),
        self._bridge_input)
    bridge_input_flat = nest.flatten([bridge_input])
    bridge_input_concat = tf.concat(bridge_input_flat, 1)

    state_size_splits = nest.flatten(self.decoder_state_size)
    total_decoder_state_size = sum(state_size_splits)

    # Pass bridge inputs through a fully connected layer layer
    initial_state_flat = tf.contrib.layers.fully_connected(
        inputs=bridge_input_concat,
        num_outputs=total_decoder_state_size,
        activation_fn=self._activation_fn)

    # Shape back into required state size
    initial_state = tf.split(initial_state_flat, state_size_splits, axis=1)
    return nest.pack_sequence_as(self.decoder_state_size, initial_state)