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Update README.md
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maxrohleder authored Apr 27, 2021
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1. download bazel 3.1.0, unzip it to some folder and add it to path (its just one executable)
https://github.com/bazelbuild/bazel/releases/tag/3.1.0

2. install cuda 10.1 and cudnn 7.6
2. install cuda 10.1 and cudnn 7.6.5
https://developer.nvidia.com/cuda-10.1-download-archive-base
https://developer.nvidia.com/rdp/cudnn-archive <-- (have to make an nvidia dev account)
https://developer.nvidia.com/rdp/cudnn-archive <-- (have to make an nvidia dev account [direct link](https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.5.32/Production/10.1_20191031/cudnn-10.1-windows10-x64-v7.6.5.32.zip))

3. unpack cudnn into the cuda folder
https://medium.com/vitrox-publication/deep-learning-frameworks-tensorflow-build-from-source-on-windows-python-c-cpu-gpu-d3aa4d0772d8
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