英文:
Pytorch version for cuda 12.2
问题
抱歉,我无法提供代码部分的翻译。以下是翻译好的内容:
"我无法找到适用于CUDA驱动程序12.2的PyTorch版本。请问有人可以指导我在哪里找到有用的材料吗?
我目前已安装PyTorch版本11.7。在训练模型时,我遇到以下错误。
**运行时错误(CUDA不匹配消息.format(cuda_str_version,torch.version.cuda)
检测到的CUDA版本(12.2)与用于编译
PyTorch(11.7)的版本不匹配。请确保使用相同的CUDA版本。**
附注:我有NVIDIA驱动程序535
提前感谢"
英文:
I am unable to find the Pytorch version for cuda driver 12.2. Can anyone please guide me where can I find any material that helps.
I have installed currently pytorch version 11.7. While training the model i am facing following error.
**
RuntimeError(CUDA_MISMATCH_MESSAGE.format(cuda_str_version, torch.version.cuda)
The detected CUDA version (12.2) mismatches the version that was used to compile
PyTorch (11.7). Please make sure to use the same CUDA versions.**
PS : I have nvidia driver 535
Thanks in advance
答案1
得分: 3
我遇到了相同的问题。似乎尚未发布适用于CUDA 12.2的PyTorch版本。
目前我正在探索以下几个选项,但尚未决定最终使用哪一个:
-
使用NGC容器
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch
这本质上类似于一个虚拟环境,包含所需的CUDA驱动程序和其他组件。 -
降级到CUDA 12.1并安装夜间版本
https://download.pytorch.org/whl/nightly/cu121
不确定我需要哪个驱动程序版本,但这可能是一个可行的选项。 -
只是等待并希望他们很快发布它
-
(最有可能的)我将从源代码构建它。
https://github.com/pytorch/pytorch/issues/104417
参考链接
https://discuss.pytorch.org/t/which-version-of-cuda-12-1-should-be-used/176456
https://discuss.pytorch.org/t/pytorch-for-cuda-12/169447/2
英文:
I am having the same issue. It appears that the PyTorch version for CUDA 12.2 is not out yet.
Here are the few options I am currently exploring. Still haven't decided which one I'll end up using:
-
Using an NGC Container
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch
This is essentially like a virtual environment with the required CUDA drivers and everything included. -
Downgrading to CUDA 12.1 and installing the nightly version
https://download.pytorch.org/whl/nightly/cu121
Not sure exactly the driver version I would need for this but it could be a viable option. -
Just waiting and hoping they release it soon
-
(Most Likely) I will just build it from the source.
https://github.com/pytorch/pytorch/issues/104417
References
https://discuss.pytorch.org/t/which-version-of-cuda-12-1-should-be-used/176456
https://discuss.pytorch.org/t/pytorch-for-cuda-12/169447/2
答案2
得分: 1
如果您正在使用Llama-2,我认为您需要将Nvidia CUDA从12.2降级到10.2。版本10.2是最稳定的版本。Pytorch版本1.5与CUDA 10.2的Pytorch兼容。然而,我遇到的问题是,似乎Anaconda在Pytorch中下载了CPU库,而不是GPU库。不太清楚原因。
英文:
If you are using Llama-2, I think you need to downgrade Nvida CUDA from 12.2 to 10.2. Version 10.2 is the most stable version. Pytorch version 1.5 works with Pytorch for CUDA 10.2. However, the problem I have is it seems Anaconda keeps downloading the CPU libaries in Pytorch rather than the GPU. Not sure why.
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