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) 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)
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