因为别人的项目是各种软件版本都会不一样,所以你可能同时装了几个CUDA版本,像我就安装了CUDA9.0、CUDA10.0、CUDA10.2,那么如何快速切换cuda版本呢? 在第一张图保证CUDA_PATH为你想要更换的版本,第二张图对应的版本在最上面,上图表示我将要使用cuda9.0。 ... ...
cudaError_t addWithCuda(int* c, const int* a, const int* b, unsigned int size) { int* dev_a = 0; int* dev_b = 0; int* dev_c = 0; cudaError_t cudaStatus; // Choose which GPU to run on, change this on a multi-GPU system. cudaStatus = cudaSetDevice(0); if (cudaStatus...
PyTorch很脆弱, 你必须Python版本+PyTorch版本+torchversion版本+torchaudio版本+cuda版本完全一一对应才能正常使用. Python版本很好检查, 只需要随便调出一个终端(terminal)运行一下就能看到版本了. 如果你已经安装了一个合适的Python版本并且添加到了环境变量中(通常所说的Path), 那么直接在终端输入python应该就能看到了...
cuda_version: ["116", "115"] cuda_version: ["117", "116", "115"] config: ["Release", "Debug"] env: CUDA_VERSION: ${{ matrix.cuda_version }} 4 changes: 4 additions & 0 deletions 4 conda/pytorch-nightly/bld.bat Original file line numberDiff line numberDiff line change @@ -...
2. Installing CUDA Development Tools The setup of CUDA development tools on a system running the appropriate version of Windows consists of a few simple steps: Verify the system has a CUDA-capable GPU. Download the NVIDIA CUDA Toolkit. ...
2. Installing CUDA Development ToolsBasic instructions can be found in the Quick Start Guide. Read on for more detailed instructions. The setup of CUDA development tools on a system running the appropriate version of Windows consists of a few simple steps: Verify the system has a CUDA-...
Step 2: Change System VariablesDouble check on CUDA_PATH and this window should pop upThen enter the target version of your CUDA there. In my case it's changing 11.6 to 11.3 Press ok and proceed next step.Step 3: Change System Paths...
2. Installing CUDA Development Tools The setup of CUDA development tools on a system running the appropriate version of Windows consists of a few simple steps: Verify the system has a CUDA-capable GPU. Download the NVIDIA CUDA Toolkit.
print(torch.backends.cudnn.version()) #GPU内存 torch.cuda.get_device_capability(device=0) 再来: pip install . 4.部署验证 编辑d:\Qwen\Qwen-7B-Chat-Int4.py 文件,内容如下: from modelscope import AutoTokenizer, AutoModelForCausalLM, snapshot_download ...
1.1. System Requirements To use CUDA on your system, you will need the following installed: ‣ A CUDA-capable GPU ‣ A supported version of Microsoft Windows ‣ A supported version of Microsoft Visual Studio ‣ the NVIDIA CUDA Toolkit (available at http://developer.nvidia.com/cuda-...