import tensorflow as tf
import torch
def convert(bin_path, ckptpath):
with tf.Session() as sess:
for var_name, value in torch.load(bin_path, map_location='cpu').items():
print(var_name) # 输出权重文件中的变量名
tf.Variable(initial_value=value, name=var_name)
saver = tf.train.Saver()
sess.run(tf.global_variables_initializer())
saver.save(sess, ckpt_path)
bin_path = 'model.pth'
ckpt_path = 'new_model.ckpt'
convert(bin_path, ckpt_path)
**粗体** _斜体_ [链接](http://example.com) `代码` - 列表 > 引用
。你还可以使用@
来通知其他用户。