Tensorflow CPU + GPU

Tensorflow 1.3.1 (CPU+GPU) for Python 2.7 64bit on Windows

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.

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