如何在1.1.4版本的tensorflow中import export_saved_model

在TensorFlow 1.1.4版本中，可以使用以下代码导入和导出SavedModel：

导入SavedModel：

import tensorflow as tf

# Restore the saved model
with tf.Session(graph=tf.Graph()) as sess:
  tf.saved_model.loader.load(sess, [tag_constants.SERVING], '/path/to/model')
  # Use the restored model

导出SavedModel：

import tensorflow as tf

# Build and train your model

# Export the model as a SavedModel
with tf.Session(graph=tf.Graph()) as sess:
  # Build the model graph
  # ...
  # Train the model
  # ...
  # Export the model as a SavedModel
  builder = tf.saved_model.builder.SavedModelBuilder('/path/to/export/dir')
  builder.add_meta_graph_and_variables(sess, [tag_constants.SERVING], signature_def_map={
      'predict': predict_signature_def,
      'train': train_signature_def,
      # Add additional signature defs as needed
  })
  builder.save()

请注意，此代码是基于TensorFlow 1.1.4版本，如果您使用的是其他版本，则可能需要进行适当的修改。