“inputs”和“outputs”参数是什么tf.U模式.simple\u save()?

所以我在看 tf.saved_model.simple_save

simple_save(session, export_dir, inputs={"x": x, "y": y}, outputs={"z": z})

如果我运行推理产品代码,如:

session = Session()
inputs = tf.placeholder(dtype=tf.float32, shape=(None, height, width, in_channel_size), name='input_img')
model = Some_Model(inputs, num_classes=no_of_defects, is_training=False)
logits, _ = model.build_model()
predictor = tf.nn.softmax(self.logits, name='logits_to_softmax')
feed_dict = {inputs: inputs}
prediction_probabilities = session.run(self.predictor, feed_dict=feed_dict)

inputs 和 outputs 用于:

simple_save(session, export_dir, inputs=???, outputs=???)

即“输入”和“输出”的参数是什么 tf.saved_mode.simple_save()

如果相关的话,我正在PyCharm中运行调试会话。