rnn_cell.py 文件源码

def __call__(self, inputs, state, scope=None):
    """Run the cell on embedded inputs."""
    with vs.variable_scope(scope or type(self).__name__):  # "EmbeddingWrapper"
      with ops.device("/cpu:0"):
        if self._initializer:
          initializer = self._initializer
        elif vs.get_variable_scope().initializer:
          initializer = vs.get_variable_scope().initializer
        else:
          # Default initializer for embeddings should have variance=1.
          sqrt3 = math.sqrt(3)  # Uniform(-sqrt(3), sqrt(3)) has variance=1.
          initializer = init_ops.random_uniform_initializer(-sqrt3, sqrt3)

        if type(state) is tuple:
          data_type = state[0].dtype
        else:
          data_type = state.dtype

        embedding = vs.get_variable(
            "embedding", [self._embedding_classes, self._embedding_size],
            initializer=initializer,
            dtype=data_type)
        embedded = embedding_ops.embedding_lookup(
            embedding, array_ops.reshape(inputs, [-1]))
    return self._cell(embedded, state)