When are we getting support for Windows?

vision
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The Biggest Hurdle I face while I try to transition to PyTorch from Tensorflow is Windows Compatibility, Tensorflow already has Support for Windows with CUDA 9

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Here’s a lengthy thread on that matter:

One of the latest comments:

The current master is compilable on Windows. In fact, we have a Windows CI that runs on every PR to make sure that nothing breaks it. I’m not familiar with the process, but maybe @yf225 can share more on the steps to compile on Windows.

Also, there are a few channels which contain Windows64 builds on Anaconda Cloud, like this one:
https://anaconda.org/peterjc123/pytorch

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From comment 304439658

# for CPU only package (also for AMD and Intel Graphics since these GPUs are unsupported)
conda install -c peterjc123 pytorch

# for Windows 10 and Windows Server 2016, CUDA 8
conda install -c peterjc123 pytorch cuda80

# for Windows 10 and Windows Server 2016, CUDA 9
conda install -c peterjc123 pytorch cuda90

# for Windows 7/8/8.1 and Windows Server 2008/2012, CUDA 8
conda install -c peterjc123 pytorch_legacy cuda80
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I used the CI whl as per these instructions:

Works great for with winpython (ie no anaconda, just pip), but I only tried cpu.

Best regards

Thomas

1 Like
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Update: Pytorch is supported on windows now. The peterjc123 binaries are obsolete.
Although I was not able to get the conda to install. I had to do the following with pip (as per https://pytorch.org/, windows, pip, 3.6, cuda 9)

pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.1-cp36-cp36m-win_amd64.whl
pip3 install torchvision

This worked on a plain python 3.6 install