双击下载的 exe 文件,一直点下一步 next 即可 安装完成后打开 PowerShell(可以快捷键Windows+X 接着按 A) 输入git --version 后回车,显示版本号则安装成功 2.安装miniconda 点击https://docs.conda.io/en/latest/miniconda.html进入官网 点击下图中的Miniconda3 Windows 64-bit下载miniconda 双击下载的 exe 文件...
5. 安装 PyTorch,可以根据需要安装支持 CUDA 或不支持 CUDA 版本,根据目前的测试,至少需要安装 1.6.0 以上版本的 Pytorch # CUDA versioncondainstallpytorchtorchvisioncudatoolkit=10.2-cpytorch# CPU versioncondainstallpytorchtorchvisioncpuonly-cpytorch 6. 准备 MMCV 源代码 gitclonehttps://github.com/open-mmlab...
官方给出的命令如下: pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/{cuda_version}/{torch_version}/index.html 其中,{ }中的版本需要替换成对应版本,不知道的可以查看https://github.com/open-mmlab... 点击标记的地方,打开里面的网址,可以查看更多的mmcv版本 查看是...
No Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.2, CUDA Runtime Version = 11.1, NumDevs = 1, Device0 = GeF...
My mmcv-full==1.3.8, but I can't run this repo for the following code line in detnas.py: mmrazor/mmrazor/models/algorithms/detnas.py Line 5 in 532b59b from mmcv.cnn.utils import revert_sync_batchnorm Please modify the mmcv-full version i...
I built the environment from the given Dockerfile with mmcv-full part as belows RUN pip install mmcv-full==latest+torch1.6.0+cu101 -f https://download.openmmlab.com/mmcv/dist/index.html but the latest version of mmcv-full is 1.3.5 accord...
full version with CUDA: Make sure CUDA_PATH or CUDA_HOME is already set, as CUDA_PATH C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2 CUDA_PATH_V10_2 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2 七、设置CUDA的算力Set CUDA target arch ...
print(torch.backends.cudnn.version()) 五、git clone mmcv==1.2.1 git clone https://github.com/open-mmlab/mmcv.git cd mmcv git checkout 91a7fee pip3 install -r requirements.txt 六、设置编译器 Set up MSVC compiler: Set Environment variable, add ...
|NVIDIA-SMI 471.41 Driver Version: 471.41 CUDA Version: 11.4| |---+---+---+ |GPU Name TCC/WDDM|Bus-Id Disp.A|Volatile Uncorr. ECC| |Fan Temp Perf Pwr:Usage/Cap|Memory-Usage|GPU-Util Compute M.| |||MIG M.| |===+===+==...
CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "NVIDIA GeForce GTX 960M" CUDA Driver Version / Runtime Version 11.4 / 11.1 CUDA Capability Major/Minor version number: 5.0 Total amount of global memory: 4096 MBytes (4294967296 byt...