export_model.py 文件源码

def build_inputs_and_outputs(self):
    if self.frame_features:
      serialized_examples = tf.placeholder(tf.string, shape=(None,))

      fn = lambda x: self.build_prediction_graph(x)
      video_id_output, top_indices_output, top_predictions_output = (
          tf.map_fn(fn, serialized_examples,
                    dtype=(tf.string, tf.int32, tf.float32)))

    else:
      serialized_examples = tf.placeholder(tf.string, shape=(None,))

      video_id_output, top_indices_output, top_predictions_output = (
          self.build_prediction_graph(serialized_examples))

    inputs = {"example_bytes":
              saved_model_utils.build_tensor_info(serialized_examples)}

    outputs = {
        "video_id": saved_model_utils.build_tensor_info(video_id_output),
        "class_indexes": saved_model_utils.build_tensor_info(top_indices_output),
        "predictions": saved_model_utils.build_tensor_info(top_predictions_output)}

    return inputs, outputs