import tensorflow.compat.v1 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) # 輸出權重文件中的變量名
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 = '/content//attn/DAMSMencoders/bird/t200.pth'
ckpt_path = '/content/attn/models/new_model.ckpt'
convert(bin_path, ckpt_path)
原文鏈接:https://segmentfault.com/a/1190000040566987