I am having a similar problem. I wrote Tensorflow code on an AWS instance with v1.12, and like the idea of using v1.13 on my in-house laptop, but cannot get it to engage the GPU. I’m using “test.gpu_device_name()” to check for use, but can see that the training times are roughly 100x normal. I have Python 2.7.15, Cuda 10.1, Nvidia-smi 418.43, all on an Ubuntu 18.04 system. Is there a solution that can get me Tensorflow on a GPU with the above software?