install caffe again

一, http://www.cnblogs.com/xuanxufeng/p/6016945.html

其中提到的  

PYTHON需要2.7版本,这是操作系统本身已经安装好的. 输入python2.7 --version 会显示具体的版本号说明安装了.

但是还需要sudo apt-get install python-dev

是在很多别的教程里面没有的

二,

给出的路径不对,找到自己hdf5在哪里,然后在makefile这个文件中添加上

三,Ubuntu下安装cafffe.build_release/lib/libcaffe.so:对‘cv::imread(cv::String const&, int)’未定义的引用

可能是makefile中的opencv之前的注释没有消除掉

四,如果在make all的时候出现问题,那么在保证makefile没有问题的情况下,就检查一下依赖包是否漏了

五、遇到的问题

 import caffe
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/alice/caffe/python/caffe/__init__.py", line 1, in <module>
    from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver, NCCL, Timer
  File "/home/alice/caffe/python/caffe/pycaffe.py", line 13, in <module>
    from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \
ImportError: dynamic module does not define module export function (PyInit__caffe)

查找资料提示是caffe不太支持python3.5

可以考虑把python切换回到python2.7然后import caffe。试过了不可以

caffe的make又做了一遍,编译python的接口又尝试了一遍

 

;六、有如下提示

Matplotlib 3.0+ does not support Python 2.x, 3.0, 3.1, 3.2, 3.3, or 3.4.
    Beginning with Matplotlib 3.0, Python 3.5 and above is required.
    
    This may be due to an out of date pip.
    
    Make sure you have pip >= 9.0.1.
    
    
    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-build-AJB4ze/matplotlib/

七,出现问题,ImportError: No module named skimage.io

解决方法:https://blog.youkuaiyun.com/dc1994dc/article/details/79162886

就是安装上一些包。

 

 

PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\activate (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 删除损坏的虚拟环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> Remove-Item rtx5070_env -Recurse -Force -ErrorAction SilentlyContinue (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 创建新环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 激活环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\Activate.ps1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装必要依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install numpy ninja pybind11 Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting numpy Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl (12.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.9/12.9 MB 54.4 MB/s eta 0:00:00 Collecting ninja Downloading https://pypi.tuna.tsinghua.edu.cn/packages/29/45/c0adfbfb0b5895aa18cec400c535b4f7ff3e52536e0403602fc1a23f7de9/ninja-1.13.0-py3-none-win_amd64.whl (309 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 310.0/310.0 kB ? eta 0:00:00 Collecting pybind11 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/cd/8a/37362fc2b949d5f733a8b0f2ff51ba423914cabefe69f1d1b6aab710f5fe/pybind11-3.0.1-py3-none-any.whl (293 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 293.6/293.6 kB ? eta 0:00:00 Installing collected packages: pybind11, numpy, ninja Successfully installed ninja-1.13.0 numpy-2.2.6 pybind11-3.0.1 [notice] A new release of pip available: 22.3.1 -> 25.2 [notice] To update, run: python.exe -m pip install --upgrade pip (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置环境变量 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:Path = "$env:CUDA_PATH\bin;$env:Path" (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 修复虚拟环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> .\fix_venv.ps1 .\fix_venv.ps1: The term '.\fix_venv.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 配置构建参数 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $cmake_args = @( >> "-GNinja", >> "-DBUILD_PYTHON=ON", >> "-DUSE_CUDA=ON", >> "-DUSE_CUDNN=ON", >> "-DCUDNN_INCLUDE_DIR=E:\Program Files\NVIDIA\CUNND\v9.12\include\13.0", >> "-DCUDNN_LIBRARY=E:\Program Files\NVIDIA\CUNND\v9.12\lib\13.0\x64\cudnn64_9.lib", >> "-DTORCH_CUDA_ARCH_LIST=8.9", >> "-DCMAKE_BUILD_TYPE=Release" >> ) -join " " (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 配置构建 (rtx5070_env) PS E:\PyTorch_Build\pytorch> mkdir build -Force Directory: E:\PyTorch_Build\pytorch Mode LastWriteTime Length Name ---- ------------- ------ ---- da--- 2025/9/3 15:52 build (rtx5070_env) PS E:\PyTorch_Build\pytorch> cd build (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> cmake .. $cmake_args CMake Error: Could not create named generator Ninja -DBUILD_PYTHON=ON -DUSE_CUDA=ON -DUSE_CUDNN=ON -DCUDNN_INCLUDE_DIR=E:\Program Files\NVIDIA\CUNND\v9.12\include\13.0 -DCUDNN_LIBRARY=E:\Program Files\NVIDIA\CUNND\v9.12\lib\13.0\x64\cudnn64_9.lib -DTORCH_CUDA_ARCH_LIST=8.9 -DCMAKE_BUILD_TYPE=Release Generators * Visual Studio 17 2022 = Generates Visual Studio 2022 project files. Use -A option to specify architecture. Visual Studio 16 2019 = Generates Visual Studio 2019 project files. Use -A option to specify architecture. Visual Studio 15 2017 = Generates Visual Studio 2017 project files. Use -A option to specify architecture. Visual Studio 14 2015 = Generates Visual Studio 2015 project files. Use -A option to specify architecture. Borland Makefiles = Generates Borland makefiles. NMake Makefiles = Generates NMake makefiles. NMake Makefiles JOM = Generates JOM makefiles. MSYS Makefiles = Generates MSYS makefiles. MinGW Makefiles = Generates a make file for use with mingw32-make. Green Hills MULTI = Generates Green Hills MULTI files (experimental, work-in-progress). Unix Makefiles = Generates standard UNIX makefiles. Ninja = Generates build.ninja files. Ninja Multi-Config = Generates build-<Config>.ninja files. Watcom WMake = Generates Watcom WMake makefiles. CodeBlocks - MinGW Makefiles = Generates CodeBlocks project files (deprecated). CodeBlocks - NMake Makefiles = Generates CodeBlocks project files (deprecated). CodeBlocks - NMake Makefiles JOM = Generates CodeBlocks project files (deprecated). CodeBlocks - Ninja = Generates CodeBlocks project files (deprecated). CodeBlocks - Unix Makefiles = Generates CodeBlocks project files (deprecated). CodeLite - MinGW Makefiles = Generates CodeLite project files (deprecated). CodeLite - NMake Makefiles = Generates CodeLite project files (deprecated). CodeLite - Ninja = Generates CodeLite project files (deprecated). CodeLite - Unix Makefiles = Generates CodeLite project files (deprecated). Eclipse CDT4 - NMake Makefiles = Generates Eclipse CDT 4.0 project files (deprecated). Eclipse CDT4 - MinGW Makefiles = Generates Eclipse CDT 4.0 project files (deprecated). Eclipse CDT4 - Ninja = Generates Eclipse CDT 4.0 project files (deprecated). Eclipse CDT4 - Unix Makefiles= Generates Eclipse CDT 4.0 project files (deprecated). Kate - MinGW Makefiles = Generates Kate project files (deprecated). Kate - NMake Makefiles = Generates Kate project files (deprecated). Kate - Ninja = Generates Kate project files (deprecated). Kate - Ninja Multi-Config = Generates Kate project files (deprecated). Kate - Unix Makefiles = Generates Kate project files (deprecated). Sublime Text 2 - MinGW Makefiles = Generates Sublime Text 2 project files (deprecated). Sublime Text 2 - NMake Makefiles = Generates Sublime Text 2 project files (deprecated). Sublime Text 2 - Ninja = Generates Sublime Text 2 project files (deprecated). Sublime Text 2 - Unix Makefiles = Generates Sublime Text 2 project files (deprecated). (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> # 开始构建 (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> ninja install [0/1] Re-running CMake... FAILED: [code=1] build.ninja E:/PyTorch_Build/pytorch/build/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/protobuf/cmake/cmake_install.cmake E:/PyTorch_Build/pytorch/build/confu-deps/pthreadpool/cmake_install.cmake E:/PyTorch_Build/pytorch/build/FXdiv/cmake_install.cmake E:/PyTorch_Build/pytorch/build/confu-deps/cpuinfo/cmake_install.cmake E:/PyTorch_Build/pytorch/build/confu-deps/XNNPACK/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/googletest/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/googletest/googlemock/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/googletest/googletest/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/benchmark/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/benchmark/src/cmake_install.cmake E:/PyTorch_Build/pytorch/build/third_party/ittapi/cmake_install.cmake E:/PyTorch_Build/pytorch/build/confu-deps/FP16/cmake_install.cmake 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E:/PyTorch_Build/pytorch/build/caffe2/perfkernels/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/test_jit/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/test_nativert/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/test_inductor/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/test_api/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/test_lazy/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/caffe2/torch/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/caffe2/torch/lib/libshm_windows/CTestTestfile.cmake E:/PyTorch_Build/pytorch/build/functorch/CTestTestfile.cmake E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages\cmake\data\bin\cmake.exe --regenerate-during-build -SE:\PyTorch_Build\pytorch -BE:\PyTorch_Build\pytorch\build CreateProcess failed: The system cannot find the file specified. ninja: error: rebuilding 'build.ninja': subcommand failed (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> # 验证安装 (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> cd .. (rtx5070_env) PS E:\PyTorch_Build\pytorch> python -c "import torch; print(f'PyTorch版本: {torch.__version__}, CUDA可用: {torch.cuda.is_available()}')" Traceback (most recent call last): File "<string>", line 1, in <module> File "E:\PyTorch_Build\pytorch\torch\__init__.py", line 35, in <module> from typing_extensions import ParamSpec as _ParamSpec, TypeIs as _TypeIs ModuleNotFoundError: No module named 'typing_extensions' (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 授予执行权限 (rtx5070_env) PS E:\PyTorch_Build\pytorch> Set-ExecutionPolicy Bypass -Scope Process -Force (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 运行完整构建 (rtx5070_env) PS E:\PyTorch_Build\pytorch> .\build_pytorch.ps1 .\build_pytorch.ps1: The term '.\build_pytorch.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch>
09-04
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