一、前置准备
（1）vs2015
目前不要想着2019这些工具了，成功率太低了，就老老实实用vs2015吧
解决“VS2015安装包丢失或损坏“问题_vs2015跳过包会影响使用吗-CSDN博客
注意在安装vs2015过程中老是出现这个问题，其实就是缺少两个证书，安装完后就可以正常安装vs2015了，注意选择vs2015 c++这些开发组件
（2）python3.5
别想着用高版本的了，就这个成功率最高，不要自己瞎折腾
从下面链接下载python3.5.3，然后直接exe运行安装
Python Releases for Windows | Python.org
（3）cuda11.0，cudnn 8.0.3
（4）cmake
（5）Git
（6）win10
（7）RTX2070 6G
RTX20系列显卡是Turing架构的
二、具体步骤
1、cuda和cudnn安装
这个就不再说了，网上很多教程
2、安装caffe
2.1、随便打开cmd窗口
输入以下命令：
git clone https://github.com/BVLC/caffe.git- 进入caffe文件
cd caffe- 进入windows分支
git checkout windows(2) 最关键的一步，修改path/caffe/scripts/build_win.cmd文件
主要修改以下文件：
- 修改caffe源码中
./scripts/build_win.cmd:
修改后的文件如下：
@echo off
@setlocal EnableDelayedExpansion
:: Default values
if DEFINED APPVEYOR (
echo Setting Appveyor defaults
if NOT DEFINED MSVC_VERSION set MSVC_VERSION=14
if NOT DEFINED WITH_NINJA set WITH_NINJA=0
if NOT DEFINED CPU_ONLY set CPU_ONLY=0
if NOT DEFINED CUDA_ARCH_NAME set CUDA_ARCH_NAME=Turing
if NOT DEFINED CMAKE_CONFIG set CMAKE_CONFIG=Release
if NOT DEFINED USE_NCCL set USE_NCCL=0
if NOT DEFINED CMAKE_BUILD_SHARED_LIBS set CMAKE_BUILD_SHARED_LIBS=0
if NOT DEFINED PYTHON_VERSION set PYTHON_VERSION=3
if NOT DEFINED BUILD_PYTHON set BUILD_PYTHON=1
if NOT DEFINED BUILD_PYTHON_LAYER set BUILD_PYTHON_LAYER=1
if NOT DEFINED BUILD_MATLAB set BUILD_MATLAB=0
if NOT DEFINED PYTHON_EXE set PYTHON_EXE=python
if NOT DEFINED RUN_TESTS set RUN_TESTS=0
if NOT DEFINED RUN_LINT set RUN_LINT=0
if NOT DEFINED RUN_INSTALL set RUN_INSTALL=1
:: Set python 2.7 with conda as the default python
if !PYTHON_VERSION! EQU 2 (
set CONDA_ROOT=C:\Miniconda-x64
)
:: Set python 3.5 with conda as the default python
if !PYTHON_VERSION! EQU 3 (
set CONDA_ROOT=E:\Program Files\python35
)
set PATH=!CONDA_ROOT!;!CONDA_ROOT!\Scripts;!CONDA_ROOT!\Library\bin;!PATH!
:: Check that we have the right python version
!PYTHON_EXE! --version
:: Add the required channels
conda config --add channels conda-forge
conda config --add channels willyd
:: Update conda
conda update conda -y
:: Download other required packages
conda install --yes cmake ninja numpy scipy protobuf==3.1.0 six scikit-image pyyaml pydotplus graphviz
if ERRORLEVEL 1 (
echo ERROR: Conda update or install failed
exit /b 1
)
:: Install cuda and disable tests if needed
if !WITH_CUDA! == 1 (
call %~dp0\appveyor\appveyor_install_cuda.cmd
set CPU_ONLY=0
set RUN_TESTS=0
set USE_NCCL=1
) else (
set CPU_ONLY=1
)
:: Disable the tests in debug config
if "%CMAKE_CONFIG%" == "Debug" (
echo Disabling tests on appveyor with config == %CMAKE_CONFIG%
set RUN_TESTS=0
)
:: Disable linting with python 3 until we find why the script fails
if !PYTHON_VERSION! EQU 3 (
set RUN_LINT=0
)
) else (
:: Change the settings here to match your setup
:: Change MSVC_VERSION to 12 to use VS 2013
if NOT DEFINED MSVC_VERSION set MSVC_VERSION=14
:: Change to 1 to use Ninja generator (builds much faster)
if NOT DEFINED WITH_NINJA set WITH_NINJA=0
:: Change to 1 to build caffe without CUDA support
if NOT DEFINED CPU_ONLY set CPU_ONLY=0
:: Change to generate CUDA code for one of the following GPU architectures
:: [Fermi Kepler Maxwell Pascal All]
if NOT DEFINED CUDA_ARCH_NAME set CUDA_ARCH_NAME=Turing
:: Change to Debug to build Debug. This is only relevant for the Ninja generator the Visual Studio generator will generate both Debug and Release configs
if NOT DEFINED CMAKE_CONFIG set CMAKE_CONFIG=Release
:: Set to 1 to use NCCL
if NOT DEFINED USE_NCCL set USE_NCCL=0
:: Change to 1 to build a caffe.dll
if NOT DEFINED CMAKE_BUILD_SHARED_LIBS set CMAKE_BUILD_SHARED_LIBS=0
:: Change to 3 if using python 3.5 (only 2.7 and 3.5 are supported)
if NOT DEFINED PYTHON_VERSION set PYTHON_VERSION=3
:: Change these options for your needs.
if NOT DEFINED BUILD_PYTHON set BUILD_PYTHON=1
if NOT DEFINED BUILD_PYTHON_LAYER set BUILD_PYTHON_LAYER=1
if NOT DEFINED BUILD_MATLAB set BUILD_MATLAB=0
:: If python is on your path leave this alone
if NOT DEFINED PYTHON_EXE set PYTHON_EXE=python
:: Run the tests
if NOT DEFINED RUN_TESTS set RUN_TESTS=0
:: Run lint
if NOT DEFINED RUN_LINT set RUN_LINT=0
:: Build the install target
if NOT DEFINED RUN_INSTALL set RUN_INSTALL=1
)
:: Set the appropriate CMake generator
:: Use the exclamation mark ! below to delay the
:: expansion of CMAKE_GENERATOR
if %WITH_NINJA% EQU 0 (
if "%MSVC_VERSION%"=="16" (
set CMAKE_GENERATOR=Visual Studio 16 2019 Win64
)
if "%MSVC_VERSION%"=="14" (
set CMAKE_GENERATOR=Visual Studio 14 2015 Win64
)
if "%MSVC_VERSION%"=="12" (
set CMAKE_GENERATOR=Visual Studio 12 2013 Win64
)
if "!CMAKE_GENERATOR!"=="" (
echo ERROR: Unsupported MSVC version
exit /B 1
)
) else (
set CMAKE_GENERATOR=Ninja
)
echo INFO: ============================================================
echo INFO: Summary:
echo INFO: ============================================================
echo INFO: MSVC_VERSION = !MSVC_VERSION!
echo INFO: WITH_NINJA = !WITH_NINJA!
echo INFO: CMAKE_GENERATOR = "!CMAKE_GENERATOR!"
echo INFO: CPU_ONLY = !CPU_ONLY!
echo INFO: CUDA_ARCH_NAME = !CUDA_ARCH_NAME!
echo INFO: CMAKE_CONFIG = !CMAKE_CONFIG!
echo INFO: USE_NCCL = !USE_NCCL!
echo INFO: CMAKE_BUILD_SHARED_LIBS = !CMAKE_BUILD_SHARED_LIBS!
echo INFO: PYTHON_VERSION = !PYTHON_VERSION!
echo INFO: BUILD_PYTHON = !BUILD_PYTHON!
echo INFO: BUILD_PYTHON_LAYER = !BUILD_PYTHON_LAYER!
echo INFO: BUILD_MATLAB = !BUILD_MATLAB!
echo INFO: PYTHON_EXE = "!PYTHON_EXE!"
echo INFO: RUN_TESTS = !RUN_TESTS!
echo INFO: RUN_LINT = !RUN_LINT!
echo INFO: RUN_INSTALL = !RUN_INSTALL!
echo INFO: ============================================================
:: Build and exectute the tests
:: Do not run the tests with shared library
if !RUN_TESTS! EQU 1 (
if %CMAKE_BUILD_SHARED_LIBS% EQU 1 (
echo WARNING: Disabling tests with shared library build
set RUN_TESTS=0
)
)
if NOT EXIST build mkdir build
pushd build
:: Setup the environement for VS x64
set batch_file=!VS%MSVC_VERSION%0COMNTOOLS!..\..\VC\vcvarsall.bat
call "%batch_file%" amd64
:: Configure using cmake and using the caffe-builder dependencies
:: Add -DCUDNN_ROOT=C:/Projects/caffe/cudnn-8.0-windows10-x64-v5.1/cuda ^
:: below to use cuDNN
cmake -G"!CMAKE_GENERATOR!" ^
-DBLAS=Open ^
-DCMAKE_BUILD_TYPE:STRING=%CMAKE_CONFIG% ^
-DBUILD_SHARED_LIBS:BOOL=%CMAKE_BUILD_SHARED_LIBS% ^
-DBUILD_python:BOOL=%BUILD_PYTHON% ^
-DBUILD_python_layer:BOOL=%BUILD_PYTHON_LAYER% ^
-DBUILD_matlab:BOOL=%BUILD_MATLAB% ^
-DCPU_ONLY:BOOL=%CPU_ONLY% ^
-DCOPY_PREREQUISITES:BOOL=1 ^
-DINSTALL_PREREQUISITES:BOOL=1 ^
-DUSE_NCCL:BOOL=!USE_NCCL! ^
-DCUDA_ARCH_NAME:STRING=%CUDA_ARCH_NAME% ^
-DCUDNN_ROOT=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.0 ^
"%~dp0\.."
if ERRORLEVEL 1 (
echo ERROR: Configure failed
exit /b 1
)
:: Lint
if %RUN_LINT% EQU 1 (
cmake --build . --target lint --config %CMAKE_CONFIG%
)
if ERRORLEVEL 1 (
echo ERROR: Lint failed
exit /b 1
)
:: Build the library and tools
cmake --build . --config %CMAKE_CONFIG%
if ERRORLEVEL 1 (
echo ERROR: Build failed
exit /b 1
)
:: Build and exectute the tests
if !RUN_TESTS! EQU 1 (
cmake --build . --target runtest --config %CMAKE_CONFIG%
if ERRORLEVEL 1 (
echo ERROR: Tests failed
exit /b 1
)
if %BUILD_PYTHON% EQU 1 (
if %BUILD_PYTHON_LAYER% EQU 1 (
:: Run python tests only in Release build since
:: the _c
