Tensorflow becomes more useful with GPU support. The GPU version is way much faster than the CPU version, more so when the GPU is high-ended. Continuing with my previous post, I also have managed to successfully build Tensorflow for Python 2.7 64bit on Windows with GPU support and generate a wheel package.
The build specifications are as follows:
- Tensorflow 1.3.1 (CPU+GPU)
- Python 2.7.13 64bit
- Visual Studio 2015 (MSC v.1500 64 bit)
- CUDA 8.0
- CUDNN 7.0
I have tested some example codes and found to be running as expected.
Since many users had struggled to build for Python 2.7 64bit in Windows but failed to build so, I have shared the wheel package below.
CUDA runtime libraries are not included in the wheel package. Make sure that the versions match.
Please beware of the fact that there is a high possibility of ABI mismatch, if used.
Disclaimer: The above shared wheel package is for illustrative purposes only which, I hope, will provide some useful information regarding the build process. It is supplied “AS IS” without any warranties and support. I assume no responsibility or liability for its use of any kind.