我可以量化我的tensorflow图表的完整版本的TF，而不是tflite？

import tensorflow as tf

# 构建计算图
graph = tf.Graph()
with graph.as_default():
    # 定义模型结构和计算节点
    ...

# 导出完整版本的图表
with tf.Session(graph=graph) as sess:
    tf.train.write_graph(sess.graph_def, './', 'full_model.pb', as_text=False)

import tensorflow as tf

# 加载完整版本的图表
graph = tf.Graph()
with graph.as_default():
    graph_def = tf.GraphDef()
    with tf.gfile.FastGFile('full_model.pb', 'rb') as f:
        graph_def.ParseFromString(f.read())
        tf.import_graph_def(graph_def, name='')

# 创建新的会话
with tf.Session(graph=graph) as sess:
    # 执行模型的推理或训练等操作
    ...