checkpoint文件结构
saved_model文件结构
import tensorflow as tf
def convert_model():
trained_checkpoint_prefix = '/home/tiwang/code/jupyter-notebook/DIEN/dien/dnn_best_model/ckpt_noshuffDIEN3'
export_dir = '/home/tiwang/code/jupyter-notebook/DIEN/dien/saved_model'
graph = tf.Graph()
config = tf.compat.v1.ConfigProto(allow_soft_placement=True, log_device_placement=True)
with tf.compat.v1.Session(graph=graph, config=config) as sess:
# restore from checkpoint
loader = tf.compat.v1.train.import_meta_graph(trained_checkpoint_prefix+'.meta')
loader.restore(sess, trained_checkpoint_prefix)
# export checkpoint to savedmodel
builder = tf.compat.v1.saved_model.builder.SavedModelBuilder(export_dir)
builder.add_meta_graph_and_variables(sess, [tf.saved_model.TRAINING, tf.saved_model.SERVING], strip_default_attrs=True)
builder.save()
if __name__ == '__main__':
# view_model_structure()
convert_model()
tensorflow版本为2
标签：__,graph,checkpoint,savedmodel,tf,tensorflow,model,saved From： https://www.cnblogs.com/wangtianning1223/p/17265138.html