The day is not too far, when you will be able to run your beloved Windows 95 game using Wine on Ubuntu on Windows.
TensorFlow GPU build for Windows for TensorFlowSharp
After two days of struggling, I was finally able to build libtensorflow.dll (v1.2.1) for Windows with GPU (CUDA 8 + CUDNN 6) support. TL;DR; here's the file (~160MB). It seems (so far) usable with TensorFlowSharp from Nuget, but you have to manually swap DLL in the package cache. UPD 2019-03-29 : instead of using TensorFlowSharp , I am now using Gradient - it provides access to the full Python API. And you don't have to manually build TensorFlow for GPU - just install Python 3.6, and follow the official TensorFlow instructions to install tensorflow 1.10 or tensorflow-gpu 1.10, or tensorflow-rocm for ATI. Gradient picks it up automatically or via GradientSetup class . Some notes on the build (in case you want to reproduce it): I used Visual Studio 2017 Despite mentioning only VS 2015 C++ compiler as compatible, I was able to build with VS 2017 compiler. Build with CMake CMake files are in ./tensorflow/contrib/cmake Do not forget SWIG Download and install SWIG...
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