The minimum required Cuda capability is 3.5: Tensorflow-gpu 1.11
Ignoring visible gpu device (device: 0, name: GeForce GTX 770, pci bus id: 0000:01:00.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5
The tensorflow require GPU card with Cuda compute capability of 3.0 or higher when building from source and 3.5 or higher when using pre-built binaries (3.4 Cuda capability when downloading tensorflow using pip).
Follow the instructions given on Tensorflow website. I have used Cuda 9 and cudnn 7.3 and installed using the details on the tensorflow website.
During configuration, I have mentioned python 3.5, Cuda 9, cudnn 7.3, I was getting an error regarding nvcc 2.2, so I used 1.3 as I won’t be using multiple GPUs, I had only one GPU. It asked for compute compatibility versions to compile tensorflow using those capabilities. I had mentioned only 3.0 compute capability.
After compiling, I have packaged it using the mentioned steps.
The final tensorflow package is:
Tensorflow-gpu 1.11 (cuda 9 and cudnn 7.3)
Download the tensorflow-gpu package and install it using:
$ pip install <path/filename.whl>