nvidia显卡和CUDA版本关系 |
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1、nvidia显卡和CUDA版本不对会出现的问题
GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 compute_37.
CUDA capability sm_86：算力8.6 上面表面上是说PyTorch，实际上是PyTorch依赖的CUDA版本的问题 翻译一下就是：RTX 3080的算力是8.6，但是当前的PyTorch依赖的CUDA版本支持的算力只有3.7、5.0、6.0、6.1、7.0、7.5及3.7以下 2、为什么会出现这个问题https://docs.nvidia.com/cuda/ampere-compatibility-guide/index.html#application-compatibility-on-ampere A CUDA application binary (with one or more GPU kernels) can contain the compiled GPU code in two forms, binary cubin objects and forward-compatible PTX assembly for each kernel. Both cubin and PTX are generated for a certain target compute capability. A cubin generated for a certain compute capability is supported to run on any GPU with the same major revision and same or higher minor revision of compute capability. For example, a cubin generated for compute capability 7.0 is supported to run on a GPU with compute capability 7.5, however a cubin generated for compute capability 7.5 is not supported to run on a GPU with compute capability 7.0, and a cubin generated with compute capability 7.x is not supported to run on a GPU with compute capability 8.x翻译一下就是： 算力7.0的显卡可以在支持最高算力7.5的CUDA版本下运行，但是算力7.5的显卡不可以在支持最高算力7.0的CUDA版本下运行 同理算力8.x的显卡不可以在支持最高算力7.x的CUDA版本下运行 3、那我怎么知道nvidia显卡该用什么CUDA版本呢 3.1、简单粗暴的方法：直接用最新版本的cuda，肯定就可以让所有显卡都可以用 缺点：pytorch不一定支持最新版本的CUDA pytorch官网如上图，pytorch支持最新版本的CUDA为11.1，但是CUDA最新版本为11.2，装了CUDA11.2就用不了pytorch 3.2、高级点的方法看CUDA文档 https://docs.nvidia.com/cuda/ampere-compatibility-guide/index.html#building-ampere-compatible-apps-using-cuda-10-0 The nvcc compiler included with versions 10.x (10.0, 10.1 and 10.2) of the CUDA Toolkit can generate cubins native to the Volta and Turing architectures (compute capability 7.x)CUDA10.x最高支持算力7.x 另一种理解CUDA10.x支持Volta伏打架构和Turing图灵架构的显卡 https://docs.nvidia.com/cuda/ampere-compatibility-guide/index.html#building-ampere-compatible-apps-using-cuda-11-0 With versions 11.0 of the CUDA Toolkit, nvcc can generate cubin native to the NVIDIA Ampere GPU architecture (compute capability 8.0).CUDA11.0最高支持算力8.0（注：这感觉应该是8.x） 另一种理解CUDA11.0支持Ampere安培架构的显卡 4、那又怎么知道显卡算力呢https://developer.nvidia.com/zh-cn/cuda-gpus#compute 显卡算力 点赞再走 参考https://blog.csdn.net/weixin_43751285/article/details/109648689 |
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