如何在Tensorflow中将.tflite模型转换为.pb冻结的图形？

import tensorflow as tf

tflite_model_path = 'path/to/your/model.tflite'
interpreter = tf.lite.Interpreter(model_path=tflite_model_path)
interpreter.allocate_tensors()

input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()

graph_def = tf.compat.v1.GraphDef()

with tf.compat.v1.Session() as sess:
    for detail in input_details:
        tf_input = tf.compat.v1.placeholder(detail['dtype'], shape=detail['shape'], name=detail['name'])
        tf.import_graph_def(graph_def, name='', input_map={detail['name']: tf_input})

    for detail in output_details:
        tf_output = sess.graph.get_tensor_by_name(detail['name'])
        tf.import_graph_def(graph_def, name='', input_map={}, return_elements=[tf_output.op.name])

pb_model_path = 'path/to/save/model.pb'
with tf.compat.v1.gfile.GFile(pb_model_path, 'wb') as f:
    f.write(graph_def.SerializeToString())