装 detectron2^[1]，开头遇到 ninja 的报错，参考 [2]，关掉 ninja。然后又报了 nvcc 的错：

× python setup.py develop did not run successfully.
│ exit code: 1
╰─> [36 lines of output]running developrunning egg_infowriting detectron2.egg-info/PKG-INFOwriting dependency_links to detectron2.egg-info/dependency_links.txtwriting requirements to detectron2.egg-info/requires.txtwriting top-level names to detectron2.egg-info/top_level.txtreading manifest file 'detectron2.egg-info/SOURCES.txt'adding license file 'LICENSE'writing manifest file 'detectron2.egg-info/SOURCES.txt'running build_extbuilding 'detectron2._C' extensioncreating buildcreating build/temp.linux-x86_64-cpython-38creating build/temp.linux-x86_64-cpython-38/homecreating build/temp.linux-x86_64-cpython-38/home/tianyoucreating build/temp.linux-x86_64-cpython-38/home/tianyou/codescreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/datacreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNetcreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2creating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2creating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layerscreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrccreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/ROIAlignRotatedcreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/box_iou_rotatedcreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/cocoevalcreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/deformablecreating build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/nms_rotatedgcc -pthread -B /data/tianyou/miniconda3/envs/detectron2/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include/TH -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include/THC -I/data/tianyou/miniconda3/envs/detectron2/include/python3.8 -c /home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cpu.cpp -o build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++/usr/bin/nvcc -DWITH_CUDA -I/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include/TH -I/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/torch/include/THC -I/data/tianyou/miniconda3/envs/detectron2/include/python3.8 -c /home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cuda.cu -o build/temp.linux-x86_64-cpython-38/home/tianyou/codes/data/MvImNet/detectron2/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O3 -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++14nvcc fatal   : No input files specified; use option --help for more information/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.warnings.warn(/data/tianyou/miniconda3/envs/detectron2/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.warnings.warn(error: command '/usr/bin/nvcc' failed with exit code 1[end of output]note: This error originates from a subprocess, and is likely not a problem with pip.

官方的 FAQ^[3,4]、issues 和博客都没找到解决方案。但在 [3,4] 看到一句测试：

python -c 'import torch; from torch.utils.cpp_extension import CUDA_HOME; print(torch.cuda.is_available(), CUDA_HOME)'

输出是：

True /usr

但 /usr 根本就不是 CUDA_HOME 啊喂！看 [5]，CUDA_HOME 应该形如 /usr/local/cuda 或者 /usr/local/cuda-11.1 这样怼到具体 cuda 目录的才对。于是初步测试 nvcc 命令：

运行 nvcc -V，报错：

nvcc fatal   : No input files specified; use option --help for more information

运行 nvcc --help，也报这个错 ↑\uparrow↑。

有毒吧？看 whereis nvcc：

nvcc: /usr/bin/nvcc /etc/nvcc.profile /usr/share/man/man1/nvcc.1.gz

而又在 detectron2/detectron2/utils/collect_env.py 中搜到一句：

nvcc = os.path.join(CUDA_HOME, "bin", "nvcc")

猜测可能是要用 /usr/local/cuda/bin/nvcc 来执行才行，而从上面报错来看，用的是裸的 nvcc 命令，并没有指定 cuda 目录下的 nvcc，再用 /usr/bin/nvcc -V、/usr/bin/nvcc --help 可以复现前面的奇怪报错，确定安装的时候用的是 /usr/bin/nvcc。

把它改成用 /usr/local/cuda/bin/nvcc 试试：

# 让 shell 先搜到 /usr/local/cuda/nvcc
# 就可以避免使用 /usr/bin/nvcc
PATH=/usr/local/cuda/bin/:$PATH
$CONDA_BIN/python -m pip install -e detectron2

结果就成功了。

installing script

我安装 detectron2 的脚本：

#!/bin/bash# facebookresearch/detectron2
#   - https://github.com/facebookresearch/detectron2
# installation
#   - https://detectron2.readthedocs.io/en/latest/tutorials/install.htmlCONDA_P=~/miniconda3
ENV=detectron2
if [ ! -d $CONDA_P/envs/$ENV ]; thenconda create --name $ENV python=3.8 -y
fi
CONDA_BIN=$CONDA_P/envs/$ENV/bin$CONDA_BIN/pip install torch==1.8.2 torchvision==0.9.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu111
$CONDA_BIN/pip install opencv-python# 从 github 下
# git clone https://github.com/facebookresearch/detectron2.git
echo 从 gitee 的公开中转仓下（加速）
git clone https://gitee.com/xoxleoxox/detectron2# 停用 `ninja` 避坑：改 *detectron2/setup.py*
# ref: https://blog.csdn.net/jiankangyq/article/details/121879936
sed -i "s/BuildExtension\}/BuildExtension\.with_options\(use_ninja\=False\)\}/" detectron2/setup.pyif [ -d detectron2/build ]; then rm -rf detectron2/build/ **/*.so; fi# BUG: 默认的 `nvcc -> /usr/bin/nvcc` 连 `nvcc -V`、`nvcc --help` 都会报错！
# 换用 */usr/local/cuda/bin/nvcc*
PATH=/usr/local/cuda/bin/:$PATH
$CONDA_BIN/python -m pip install -e detectron2if [ -d detectron2/build ]; then rm -rf detectron2/build/; fi

References

facebookresearch/detectron2
安装detectron2的一些坑
Common Installation Issues
facebookresearch/detectron2/INSTALL.md
安装detectron2 报错

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装detectron2报错：nvcc fatal : No input files specified； use option --help for more information

installing script

References

装detectron2报错：nvcc fatal : No input files specified； use option --help for more information相关推荐

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