按照文档安装mmcv报错
在执行python setup.py build_ext 报错
缺少THE/THE.H库
更改安装方式 改用 官网https://mmdetection.readthedocs.io/zh_CN/v2.25.0/get_started.html#id4 pip install
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu110/torch1.7.0/index.html
依然报错
同时将本地cuda版本从2.1将1.7在降为1.6还是报上述相同的错
如果mmcv为最新版mim install mvcc 则会报兼容性问题
AssertionError: MMCV==2.0.0 is used but incompatible. Please install mmcv>=1.3.17, <=1.8.0. #10104
报错fatal error C1189: #error: -- unsupported Microsoft Visual Studio version!
https://blog.csdn.net/lishiyu93/article/details/114599859
error -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2019 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk.
解决
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
使用11.1的cuda 虽然我的电脑系统是win11 11.1的cuda不支持，但用win10版本也是可以的；后面的步骤跟文档相同
git clone -b v1.4.0 https://github.com/open-mmlab/mmcv.git
# 设置临时的环境变量（要根据自己环境）
$env:CUDA_HOME = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1"
# 根据官网查询自己GPU架构：https://developer.nvidia.cn/zh-cn/cuda-gpus
$env:TORCH_CUDA_ARCH_LIST="6.1"
$env:MMCV_WITH_OPS = 1 # 完全版
$env:MAX_JOBS = 4
# 进入目录
cd mmcv
# 编译
python setup.py build_ext
# 安装
python setup.py develop
# 检查
pip list
apex is not installed问题
明明按照文档 安装了apex 但是报错
最后根据https://github.com/NVIDIA/apex/issues/1532解决 是apex的bug导致
