要设置torch_cuda_arch_list环境变量,你需要遵循以下步骤来确保PyTorch能够针对你的GPU架构进行优化。以下是详细的步骤: 理解torch_cuda_arch_list的含义及用途: torch_cuda_arch_list是一个环境变量,用于指定PyTorch在编译CUDA扩展时应针对哪些CUDA架构进行优化。 通过设置这个变量,你可以确保生成的PyTorch二进制文件与...
Can we support arch list specification with this env as documented in https://pytorch.org/docs/stable/cpp_extension.html ?Author bhack commented Nov 19, 2024 E.g. https://github.com/facebookresearch/xformers/blob/main/setup.py#L271-L296...
python -c "import torch; print(torch.cuda.get_arch_list())" ['sm_50', 'sm_80', 'sm_86', 'sm_89', 'sm_90', 'sm_90a'] Root cause seems to be ARM build missing TORCH_CUDA_ARCH_LIST -- Building version 2.6.0.dev20241113+cu124 2024-11-13T07:51:21.6301398Z cmake -GNinja ...
Publisher NVIDIA Latest Tag 18.08-py2 Modified March 20, 2025 Compressed Size 1.23 GB Multinode Support No Multi-Arch Support No 18.08-py2 (Latest) Security Scan Results Linux/amd64 C OverviewTagsLayersSecurity ScanningRelated Collections
这里“TORCH_CUDA_ARCH_LIST”对应显卡版本"8.6"对应30系显卡,新出的40系对应是8.9但要torch>=2.0.1。理论上30系只要8.6就行,但为了后续方便写了很多。 这里“python setup.py install”会跑很长时间。 如果运行如下没报错就可以了 importtorchtorch.distributed.init_process_group("mpi") ...
返回此库针对其进行编译的列表CUDA体系结构。 torch.cuda.get_arch_list()['sm_37','sm_50','sm_60','sm_70'] 获取设备的CUDA功能。 torch.cuda.get_device_capability(device=None)# device (torch.device or int, optional) – device for which to return the device# capability. This function is...
export CUDNN_INCLUDE_PATH=/opt/cuda/include export CUDNN_LIBRARY_PATH=/opt/cuda/lib64 export _GLIBCXX_USE_CXX11_ABI=1 export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6" export USE_CUDA=1 export USE_CUDNN=1 export USE_MKLDNN=1 git config --global --add safe.directory /workspace/pytorch ...
注:tensorflow各版本有严格的python, gcc, CUDA, cuDNN版本要求,下载时需注意。 https:///install/source#tested_build_configurations 下载以上文件下载地址: cuda文件: AI检测代码解析 https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&...
安装CUDA环境有哪些前提条件? 前言 Pytorch我们都熟悉,是一个优秀的深度学习的运行库,但我们可能也知道Pytorch的前身torch。Torch也是一个优秀的深度学习库,运行语言是lua语言。既然我们有了Pytorch,为什么还要装torch呢? 很简单: Torch框架和Pytorch框架类似,熟悉了Pytorch学习torch轻而易举 Torch框架的设计也很优秀...
weiji14changed the titleflash-attn v2.6.3 + TORCH_CUDA_ARCH_LIST=8.0;8.6;8.9;9.0+PTXOct 13, 2024 weiji14mentioned this pull requestOct 13, 2024 Feature Request: Add multiple outputs for fused_dense_lib and layer_norm#18 Closed