nan output

[HanYuanyuaner]

I use SE_Inception_v4.py to train the cifar10 data. The code can run normally, but the "train_loss", "train_acc", "test_loss" and "test_acc" are "nan". I try to output "batch_loss" from "_, batch_loss = sess.run([train, cost], feed_dict=train_feed_dict)", the result is "nan". Did anyone meet this problem?

[HanYuanyuaner]

I am sorry, the output is like this epoch: 1/100, train_loss: nan, train_acc: 0.1018, test_loss: nan, test_acc: 0.1000 epoch: 1/100, train_loss: nan, train_acc: 0.0023, test_loss: nan, test_acc: 0.1000 epoch: 1/100, train_loss: nan, train_acc: 0.0003, test_loss: nan, test_acc: 0.1000 epoch: 2/100, train_loss: nan, train_acc: 0.0003, test_loss: nan, test_acc: 0.1000

[dakun333]

I have the same problem.How can I solve it