I\'m using keras 2.0.6. The version of tensorflow is 1.3.0.
My code can run with theano backend, but failed with tensorflow backend:
F tensorflow/core/frame
I had met the error, in my issue, the error is coming from TF with different vision.
the error is solved. the model was trained in tf 1.15, but frozen the model in tf 1.13. When froze it in tf 1.15, everything is ok.
I think you can check the model version.
it came out the same bug, but it ran ok after that I shrimped the batch size.
I think the reason is it running out of GPU memories.