记pytorch 0.4.1caffe2源码安装

淡淡的烟草味﹌ 2022-05-12 17:00 154阅读 0赞

# 记pytorch 0.4.1caffe2源码安装 #

**最新安装detectron命令（2019.11.25 update）**

echo "Installing pytorch"
    cd ~/Documents/pytorch
    if [ ! -d ~/Documents/pytorch/pytorch ]; then
    	git clone https://github.com/pytorch/pytorch.git
    fi
    cd pytorch
    git checkout v1.2.0
    
    sudo pip3 install -r requirements.txt
    sudo pip3 install -r caffe2/requirements.txt
    sudo pip3 install protobuf
    
    git submodule sync
    git submodule update --init --recursive
    sudo rm -rf build
    sudo USE_OPENCV=On USE_LMDB=On BUILD_BINARY=On python3 setup.py install
    
    
    echo "Installing vision"
    cd ~/Documents/pytorch
    if [ ! -d ~/Documents/pytorch/vision ]; then
    	git clone https://github.com/pytorch/vision.git
    fi
    cd vision
    git checkout v0.4.0
    
    git submodule sync
    git submodule update --init --recursive
    sudo python3 setup.py install

--------------------

以下为基于pytorch 0.4.1的版本，其实命令变化不大，都可以参考。

1.  下载源码
    
        git clone https://github.com/pytorch/pytorch.git && cd pytorch

![image-20181022163539834][]

1.  运行命令`git checkout v0.4.1`

![image-20181022163849883][]

1.  运行命令`git submodule update —-init`

![image-20181022163952607][]

1.  运行命令

mkdir build
    cd build
    cmake ..
    make -j4

--------------------

果然又是一大堆错

报错一：具体见下图

[  1%] Built target js_embed
    [  1%] Performing build step for 'nccl_external'
    make[3]: warning: jobserver unavailable: using -j1.  Add '+' to parent make rule.
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    Scanning dependencies of target cpuinfo
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    [  3%] Built target libprotobuf-lite
    /bin/sh: 1: [: -lt: unexpected operator
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    Scanning dependencies of target pthreadpool
    [  3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory

![image-20181022165418901][]

解决：

加入环境变量：

vim ~/.bashrc 
    #在最后一行加入以下
    export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
    #保存并退出
    source ~/.bashrc #使.bashrc立即生效

报错二：具体见下图

make[3]: warning: jobserver unavailable: using -j1.  Add '+' to parent make rule.
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    /bin/sh: 1: [: -lt: unexpected operator
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    [  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/arena.cc.o
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    ls: cannot access '/usr/lib64/libcudart.so.*': No such file or directory
    Compiling src/libwrap.cu                      > /home/chenzhiwei/Documents/pytorch/third_party/nccl/build/obj/libwrap.o
    nvcc fatal   : Unsupported gpu architecture 'compute_60'
    Makefile:136: recipe for target '/home/chenzhiwei/Documents/pytorch/third_party/nccl/build/obj/libwrap.o' failed
    make[3]: *** [/home/chenzhiwei/Documents/pytorch/third_party/nccl/build/obj/libwrap.o] Error 1
    CMakeFiles/nccl_external.dir/build.make:110: recipe for target 'nccl_external-prefix/src/nccl_external-stamp/nccl_external-build' failed
    make[2]: *** [nccl_external-prefix/src/nccl_external-stamp/nccl_external-build] Error 2
    CMakeFiles/Makefile2:72: recipe for target 'CMakeFiles/nccl_external.dir/all' failed
    make[1]: *** [CMakeFiles/nccl_external.dir/all] Error 2
    make[1]: *** Waiting for unfinished jobs....

![image-20181022170054487][]

解决：

还是添加环境变量吧：

![image-20181024102455954][]

可以复制下面的?

# CUDA
    export PATH=/usr/local/cuda/bin/:$PATH
    export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
    
    #MKL
    #export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:$LD_LIBRARY_PATH
    
    #opencv
    export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH
    export PATH=/usr/local/bin/:$PATH
    export LIBRARY_PATH=/usr/local/lib/:$LIBRARY_PATH
    export CPATH=/usr/local/include/:$CPATH
    export PYTHONPATH=/usr/local/lib/python2.7/site-packages/:$PYTHONPATH
    export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH
    
    #matlab
    #export MATLAB_ROOT=/usr/local/MATLAB/R2014b
    
    #CAFFE
    #export PYTHONPATH=/home/shenyunhang/Documents/caffe/python:$PYTHONPATH
    
    # vim
    export EDITOR=vim

———————————————吐血————————还是不行————————

然后我把所有文件都删了，从第一步开始安装。

这个时候检查了一下cuda啥的版本，发现使用的是cuda 9.2.148，其对应的显卡驱动版本为396.54。发现显卡驱动为不对，接下来就是安装显卡驱动了。

> cuda 9.2
> 
>  *  nvidia driver 396.54
>  *  cuda 9.2 (not install driver,install toolkit and samples)
>  *  cudnn 7.1.4 for cuda9.2 (for TensorRT) caffe,tensorflow, baidu anakin
> 
> cuda 8.0
> 
>  *  nvidia driver 384.130
>  *  cuda 8.0 (not install driver,install toolkit and samples)
>  *  cudnn 6.0.21 for cuda8.0 caffe

#### 安装显卡驱动nvidia driver 396.54 ####

1）卸载原来显卡驱动：

sudo apt-get remove --purge nvidia- #这里按tab键可以看到已安装的驱动版本
    sudo apt-get remove --purge nvidia-384 #本人运行的命令

2）安装nvidia driver 396.54：

安装显卡驱动推荐使用官方ppa源的方式进行安装，使用`cuda_xxx_linux.run`文件离线安装会导致循环登录问题。

sudo add-apt-repository ppa:graphics-drivers/ppa
    sudp apt-get update
    
    sudo apt-cache search nvidia-*
    # nvidia-384
    # nvidia-396
    sudo apt-get -y install nvidia-396
    
    # test #这一步需要重启后才能正常输出
    sudo nvidia-smi

按照前面的步骤：

![image-20181023154940539][]

终于100%了。。。。

最后，我们来测试一下是否安装成功啦：

![image-20181024105000819][]

命令汇总：

git clone https://github.com/pytorch/pytorch.git
    cd pytorch
    git checkout v0.4.1
    git submodule update --init
    mkdir build
    cd build
    cmake ..
    make -j4
    sudo make install -j

git submodule update --init
    mkdir build && cd build
    cmake -DCMAKE_CXX_FLAGS="-isystem /home/chenzhiwei/Documents/pytorch/third_party/eigen -isystem /home/chenzhiwei/Documents/pytorch/third_party/cub" ..
    make 
    cd ..
    make

ln -s /home/xxx/Dataset/voc2007/annotations annotations
    ln -s /home/xxx/Dataset/voc2007/JPEGImages JPEGImages
    ln -s /home/xxx/Dataset/voc2007/VOCdevkit2007 VOCdevkit2007

[image-20181022163539834]: /images/20220504/8432cd0b2fd6469b9cb2717c3c6a0952.png
[image-20181022163849883]: /images/20220504/b79f8448ee49427ab0c2224f1484cf4b.png
[image-20181022163952607]: /images/20220504/ed2ee9ad9b1e4057afb28fb66710cfe9.png
[image-20181022165418901]: /images/20220504/ae05b6f134c94b379891639ceb5acf4a.png
[image-20181022170054487]: /images/20220504/2b1fbc9235f749218cc604b99080660e.png
[image-20181024102455954]: /images/20220504/082923f30dda45aaa490ec636bedcf46.png
[image-20181023154940539]: /images/20220504/d030361f8d4140938a1015ecbf04e186.png
[image-20181024105000819]: /images/20220504/38fdec494a2f490b997278f70f8f7256.png