fully_connected.py 文件源码

def inference_graph(self, data):
    with ops.device(self.device_assigner.get_device(self.layer_num)):
      # Compute activations for the neural network.
      nn_activations = [layers.fully_connected(data, self.params.layer_size)]

      for _ in range(1, self.params.num_layers):
        # pylint: disable=W0106
        nn_activations.append(
            layers.fully_connected(
                nn_activations[-1],
                self.params.layer_size))

      nn_activations_tensor = array_ops.concat(
          1, nn_activations, name="flattened_nn_activations")

      return nn_activations_tensor