peterjc123/pytorch-scripts

Is the readme.md still up to date?

lorenzznerol opened this issue · 2 comments

lorenzznerol commented

In the README.md, I see:

#### 1.

Plus: The support for old NV cards (Compute Capability <= 5.0) is over. There're mainly two ways to resolve this:

You can install legacy packages. See description in this section below.
Install CI packages. However, you have to handle the dependencies by yourself. See About CI packages for details.

Is this list perhaps not complete? I thought I can also install the most recent version from source from a Compute Capability of 3.5 onwards. CC 3.5 is only deprecated, but it is still accepted by the most recent versions of CUDA and cuDNN.

#### 2.

"About the nightly packages"

If you click on the badges of the picture, the links do not lead to a download. As 3.8 is now the most recent Python, the badges are not needed anyway in my case, just mentioning it.

image

#### 3.

From the whole readme, I do not get the clear information if I can get a simple installation of a most recent pytorch install from source with CUDA 11.0 and the most recent cuDNN for my older NV card with Compute Capability 3.5.

For now, I will try instead installing from source, using the cloned git project of pytorch and using the guide of https://github.com/pytorch/pytorch#from-source. I want to compile it with mkl. It is not clear whether the simplified scripts of this project "pytorch-scripts" can help me doing that, since it seems to support only legacy versions of CUDA.

peterjc123 commented

It is out of date.

For now, I will try instead installing from source, using the cloned git project of pytorch and using the guide of https://github.com/pytorch/pytorch#from-source. I want to compile it with mkl. It is not clear whether the simplified scripts of this project "pytorch-scripts" can help me doing that, since it seems to support only legacy versions of CUDA.

Well, it is quite easy to adapt the script to new CUDA versions. (You can just compare cuda92.bat && cuda100.bat) But I just don't have time to do this. Our build script is now hosted in https://github.com/pytorch/builder/blob/master/windows/build_pytorch.bat.