这是因为显卡驱动在更新过程中对CUDA是backward Compatibility(向后兼容)的，直观来说就是510.47.03版的...
在查阅英伟达官网[CUDA兼容性](CUDA Compatibility)后，发现470.57.02的驱动支持向后兼容，也就是说经过...
安装edgeai-torchvision环境的过程中,一直出错,后来深入理解源码,发现主要原因是源码编译安装torchvision时,是从CUDA_HOME/NVCC中获取CUDA版本,故虚拟环境的CUDA版本需要和系统的CUDA版本一致,而目前系统版本是CUDA11.7,虚拟环境安装pytorch使用的是cuda11.3,故需要重新安装系统版本CUDA11.3; edgeai-torchvision/torchvision/ext...
On the other hand, when running on a newer device than what is natively supported, the library is inforward-compatibilitymode, whereby PTX JIT compilation of CUDA kernels will be used to support library workloads. Note Each version of the cuDNN library stores the highest SM number of the GPU...
After reading #915 (go do that now!), you may be wondering about Thrust's compatibility with older versions of CUDA. Historically, most of Thrust's CUDA backend has worked with older versions of CUDA, with some features requiring a parti...
目前大部分使用GPU的AI模型,都使用的英伟达这套。 需要注意的是,驱动、cuda、cudnn版本需要一一对应,高低版本互不兼容。 驱动和cuda对应关系:https://docs.nvidia.com/deploy/cuda-compatibility/index.html 驱动下载:https:
For more information, see CUDA Compatibility. Minor version compatibility continues into CUDA 12.x. However, as 12.0 is a new major release, the compatibility guarantees are reset. Applications that used minor version compatibility in 11.x may have issues when linking against 12.0. Either re...
since it does not appear in this link CUDA GPUs - Compute Capability | NVIDIA Developer, can I use the drivers of the portable version of the same graphics card to be able to work with it? How can I do it so that it can work with this limitation?
Due to this packaging structure, CUDA developers on desktop have the flexibility to stay up to date with the latest CUDA releases aligning with the CUDA quarterly release cadence. Moreover, features such asforward compatibilityandminor version compatibilityhelp you pick up combinations of driver and ...
NVIDIA CUDA应用兼容性指南说明书 DA-09074-001_v11.5 | October 2021Turing Compatibility Guide for CUDA Applications Application Note