使用cuDNN5编译py-faster-rcnn错误：cudnn.hpp(126): error: argument of type "int" is incompatible ...

前几天在cuda8+cudnn5.1下编译py-faster-rcnn/caffe-fast-rcnn时报错了，

/home/guyadong/caffe/py-faster-rcnn/caffe-fast-rcnn/include/caffe/util/cudnn.hpp(126): error: argument of type “int” is incompatible with parameter of type “cudnnNanPropagation_t”

/home/guyadong/caffe/py-faster-rcnn/caffe-fast-rcnn/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

2 errors detected in the compilation of “/tmp/tmpxft_000067e2_00000000-5_rmsprop_solver.cpp4.ii”.

CMake Error at cuda_compile_generated_rmsprop_solver.cu.o.cmake:266 (message):

Error generating file

/home/guyadong/caffe/py-faster-rcnn/caffe-fast-rcnn/src/caffe/CMakeFiles/cuda_compile.dir/solvers/./cuda_compile_generated_rmsprop_solver.cu.o

src/caffe/CMakeFiles/caffe.dir/build.make:494: recipe for target ‘src/caffe/CMakeFiles/cuda_compile.dir/solvers/cuda_compile_generated_rmsprop_solver.cu.o’ failed

make2: * [src/caffe/CMakeFiles/cuda_compile.dir/solvers/cuda_compile_generated_rmsprop_solver.cu.o] Error 1

CMakeFiles/Makefile2:273: recipe for target ‘src/caffe/CMakeFiles/caffe.dir/all’ failed

make1: * [src/caffe/CMakeFiles/caffe.dir/all] Error 2

Makefile:116: recipe for target ‘all’ failed

make: * [all] Error 2

不得已改用cudnn4才算编译通过。

参见 《cuda8+cudnn4 Faster R-CNN安装塈运行demo》

仔细研究，搞明白了原因：

py-faster-rcnn的作者在做这个项目时从bvlc/caffe(https://github.com/BVLC/caffe.git)项目创建了一个分支(那时还没有cudnn5),并在这个分支的基础上添加了自己的代码(主要是一些layer),形成现在的版本，就是py-faster-rcnn下的caffe-fast-rcnn。

所以py-faster-rcnn/caffe-fast-rcnn还是只支持cudnn4的代码，编译就会报错。

解决办法

在google上找了半天，总算有了办法：

其实BVLC/caffe目前已经支持cudnn5，要做的就是把BVLC/caffe的最新版本代码合并到py-faster-rcnn/caffe-fast-rcnn：

git版本合并

执行下面的命令实现版本合并

cd caffe-fast-rcnn
# 将BLVC/caffe添加为远程仓库，命名为caffe
git remote add caffe https://github.com/BVLC/caffe.git
# 获取BLVC/caffe代码
git fetch caffe
# 将BLVC/caffe的master分支合并到当前分支
# -X theirs 指定在合并遇到冲突时以BLVC/caffe版本为主
git merge -X theirs caffe/master
           

执行

git merge -X theirs caffe/master

会出现下面的界面要求输入注释信息：

不必输入任何内容，直接按Ctrl-X 离开

提示是否存储更动过的缓冲区，输入Y ,ENTER

要求写入的文件名:$MERGE_MSG,直接ENTER;

就完成了分支合并过程。

修改python_layer.hp

版本合并后，打开caffe-fast-rcnn/include/caffe/layers/python_layer.hp，

self_.attr("phase") = static_cast<int>(this->phase_);

这一行(line29)删除

然后再重新编译caffe-fast-rcnn,就可以正常编译通过了。

编译方式参见 《cuda8+cudnn4 Faster R-CNN安装塈运行demo》

附：git输出

执行

git fetch caffe

的输出

[email protected]:~/tmp/py-faster-rcnn/caffe-fast-rcnn$ git fetch caffe

remote: Counting objects: 13860, done.

remote: Compressing objects: 100% (8/8), done.

remote: Total 13860 (delta 3378), reused 3374 (delta 3374), pack-reused 10478

接收对象中: 100% (13860/13860), 13.76 MiB | 123.00 KiB/s, 完成.

处理 delta 中: 100% (9800/9800), 完成 584 个本地对象.

来自 https://github.com/BVLC/caffe

* [新分支] device-abstraction -> caffe/device-abstraction

* [新分支] gh-pages -> caffe/gh-pages

* [新分支] master -> caffe/master

* [新分支] opencl -> caffe/opencl

* [新分支] parallel -> caffe/parallel

* [新分支] tutorial -> caffe/tutorial

* [新分支] williford-patch-1 -> caffe/williford-patch-1

* [新分支] windows -> caffe/windows

* [新标签] acm-mm-oss -> acm-mm-oss

* [新标签] bsd -> bsd

* [新标签] rc -> rc

* [新标签] rc2 -> rc2

* [新标签] rc3 -> rc3

* [新标签] rcnn-release -> rcnn-release

* [新标签] v0.1 -> v0.1

* [新标签] v0.9 -> v0.9

* [新标签] v0.99 -> v0.99

* [新标签] v0.999 -> v0.999

* [新标签] v0.9999 -> v0.9999

* [新标签] rc4 -> rc4

* [新标签] rc5 -> rc5

执行

git merge -X theirs caffe/master

的输出

自动合并 src/caffe/proto/caffe.proto

自动合并 src/caffe/layers/dropout_layer.cpp

删除 src/caffe/data_reader.cpp

删除 scripts/travis/travis_setup_makefile_config.sh

删除 scripts/travis/travis_install.sh

删除 scripts/travis/travis_build_and_test.sh

自动合并 python/caffe/_caffe.cpp

自动合并 python/caffe/init.py

自动合并 include/caffe/layers/python_layer.hpp

自动合并 include/caffe/layer.hpp

删除 include/caffe/data_reader.hpp

删除 examples/hdf5_classification/solver.prototxt

删除 examples/hdf5_classification/nonlinear_solver.prototxt

删除 examples/03-fine-tuning.ipynb

删除 examples/02-brewing-logreg.ipynb

自动合并 LICENSE

Merge made by the ‘recursive’ strategy.

.github/ISSUE_TEMPLATE.md | 19 +

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data/ilsvrc12/get_ilsvrc_aux.sh | 2 +-

data/mnist/get_mnist.sh | 25 +-

docker/README.md | 47 +

docker/cpu/Dockerfile | 45 +

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docs/tutorial/layers/bias.md | 19 +

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docs/tutorial/layers/contrastiveloss.md | 20 +

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src/caffe/layers/cudnn_sigmoid_layer.cpp | 2 +

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src/caffe/layers/cudnn_tanh_layer.cpp | 1 +

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src/caffe/layers/lstm_unit_layer.cu | 154 +

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src/caffe/util/hdf5.cpp | 38 +-

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src/caffe/util/math_functions.cu | 20 +

src/caffe/util/upgrade_proto.cpp | 102 +-

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参考资料

《make error with cuda-7.5 and cundnn 5.1》