Looking for PyTorch Binaries for Older GPUs

I have GT 710. It has compute capability of 3.5. Unfortunately, since version 1.3.1 PyTorch does not support cc < 3.7. This means PyTorch > 1.3.0 does not support my GPU. When I try to use PyTorch 1.6.0 I get the error:

RuntimeError: CUDA error: no kernel image is available for execution on the device

In this case, @peterjc123 recommends to build PyTorch from source. I tried to build PyTorch from source, but it turned out to be not so easy. I gave up after a few days. Then I began to look for someone who succeeded and I found it. Nelson Liu built PyTorch Binaries that support old GPUs. Newer PyTorch Binaries for Older GPUs These binaries for Linux but I need Windows binaries.

I didn’t find any binaries for Windows, but I’m sure they exist.

If anyone has built or found PyTorch Binaries for Windows, please share here.

Hope it helps.
Previous PyTorch Versions | PyTorch

Thank you @mszhanyi, but the official distributions of pytorch do not support 3.5 compute capabilities.

Hi Vladimir!

I had a similar issue a couple of years ago, and was provided a link
to some legacy binaries that I can no longer access.

For what it’s worth, here’s the (dead?) link:

Legacy PyTorch binaries on Google Drive

@ptrblck directed me to this link and I believe that the binaries were
built by @peterjc123.

I was able to find a windows binary on that link that supported my old
(laptop) gpu. But I had to go back to the archaic pytorch version 0.3.0
to do so.

For additional context, here is the original thread:

Best.

K. Frank

Hi Frank. Thanks for the information. I have already built pytorch for my GPU with cc 3.5. torch-1.6.0a0+b31f58d-cp37-cp37m-win_amd64.whl on Google Drive Unfortunately, this build does not contain CUDA. In order to use this build, you need to install CUDA 9.2. If I manage to build the full version, I will post the link here.

I added missing files. torch-1.6.0a0+b31f58d-cp37-cp37m-win_amd64.whl
I have been tested this file on my computer in another Windows (Windows 7).