PyTorch no longer supports this GPU because it is too old.

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on popular demand, we’re bringing back 5.0 support in the next release.

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Thank you!!!
You will notice from here that Nvidia actually had inaccurate documentation about the compute capability of some of their GPUs, so the support for compute capability 5.0 is much appreciated (especially since there weren’t many laptops available with higher compute capability with PCIe SSDs when we were sourcing them for our team): https://devtalk.nvidia.com/default/topic/1032409/cuda-setup-and-installation/incorrect-compute-capability-for-quadro-m1200/post/5253247/?offset=13#5253248

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Sorry, what should we compile from source to get Pytorch working with an old GPU (which works with CUDA capability of 5.0)?

Sorry if my questions are very stupid but I am new with PyTorch and I don’t know how to get my GPU working with it.

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Okay yes, it was not only a stupid question but also was already solved before.

I downloaded 0.3.0 and it is working smoothly. Thank you! :slight_smile:

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That’s great :hugs:- will this be in the next minor release of 0.4 or on 0.5? Do you have an ETA?

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this will be in 0.4, tomorrow.

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Ready to scale up from my desktop to the cloud… Just got this message trying to run on AWS g2.2xlarge:

" UserWarning:
Found GPU0 GRID K520 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.

warnings.warn(old_gpu_warn % (d, name, major, capability[1]))"

Ok, so I tried installing PyTorch 0.4, but the error persists. I suppose I can build from source, or pull an older version of PyTorch.

For 0.4, which AWS instances are people using with 0.4? (https://docs.aws.amazon.com/dlami/latest/devguide/gpu.html)
Seems P2 instances run on K80s, which is has CUDA capability 5.0, which is no longer supported, right? And g3 instances are M60s which is 5.1, so is that ok?

…So are the PyTorch devs expecting that AWS users only run on p3 instances (V100s, lowest tier at $3.06 per hour), or…? Maybe this just isn’t on the radar. I understand you’re busy and you’ve got lots of other things to worry about. :wink:

1 Like
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For others compiling from source, but still getting the warning, it might be working anyway. I’m getting the warning, but the GPU is still being used despite the warning being displayed. Again, this was after compiling from source.

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In which version of pytorch that is? 1.0 ?

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hello,can you use pytorch(GPU) 0.3.0 on windows 10 ? I cannot use the version of GPU and can only use the version of CPU! Could you do me a favor? please!!!

31

ive done these steps to build pytorch from source
ive installed cuda 9.1 on ubuntu with latest Nvidia driver
all running in a conda python 3.5 env

i still get:
Found GPU0 GeForce GTX 680 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.

i thought building from source should avoid this problem, did ive done something wrong?

32

Hi,

This should only be a warning so that does not prevent from using it.
That being said, newer functions might not work if they use newer features.

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can anyone help me in installing the old version of pytorch in my windows machine.

I am doing fastai courses and i am getting following error.

RuntimeError: cuda runtime error (48) : no kernel image is available for execution on the device at c:\anaconda2\conda-bld\pytorch_1519501749874\work\torch\lib\thc\generic/THCTensorMath.cu:15

I know solution is already provided by peterjc123 But i dont know how to use the solution, please help

34

How to install pytorch version = 0.3.0 on windows 10 using anaconda

35

Thanks, very helpful to me.

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Could you please show me the table of GPU that Pytorch of a certain version support or not support ? I need to choose appropriate GPU for Pytorch 0.8.0. Thank you.

37

Hi,

I’m afraid we don’t have such table.
Also there is no version 0.8. We went from 0.4.1 to 1.0 directly. Which version do you want?

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Oh sorry i missed about the version of Pytorch. I want to use Quadro 2000 for Pytorch 0.4.0 torchvision 0.2.0. Can I ?

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Quadro 2000 is a very old card (compute capability 2.1). I think we dropped support for it a very long time ago.

cc @smth do you remember when we dropped support for 2.1?

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0.4.0 might work. If I’m not mistaken, 1.0.0rc1 might have even supported this old architecture. However, I don’t think the binaries shipped with it, so you might need to build 0.4.0 from source. :confused:
The Quadro 2000 should have 1GB of memory? If so, this would limit your experiments quite significantly and I’m not sure if it’s worth the effort of building the framework with the features (and bugs) from mid 2018. You might be better off using the free GPU runtime from Google Colab and the latest PyTorch release.