Faster R-cnn和Cudnn5.0冲突解决过程记录
2017-04-11 22:07
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执行Faster R-cnn编译时遇到了如下问题
出错原因应该为Faster R-cnn 和cudnn5.0不兼容,解决办法一是降低更换cudnn的版本,另一种是提高caffe的版本。在下还搜到了大神的一个解决办法。
http://blog.csdn.net/rzjmpb/article/details/52373012,代码贴在下面
鄙人愚钝,对于git合并命令不是很熟悉,一周折腾merge命令还是没有成功,我把过程附到最后,希望大牛们看到此文章能指点一二。
最后解决办法还是在csdn上一番苦寻找到的,参考了卜居和阿·甘的博客,感谢两位的分享。直接贴链接比较合适,后期我还会给出我的caffe-fast-rcnn版本,里面改了一些其它的数据,由于没有详细记录,直接贴结果方便大家使用,大家可以直接下载替换faster-rcnn中的caffe
http://blog.csdn.net/kexinmcu/article/details/53178428(阿甘) http://blog.csdn.net/kkk584520/article/details/51163564( href="http://blog.csdn.net/kkk584520/article/details/51163564" target=_blank>卜居)
附:
但在执行最后一步(合并)的时候,又遇到了棘手的问题。
不是很懂git工具的合并命令,但一番苦找,找到了
成功移除合并多余的部分,移除后的部分为
再次合并
此次合并后虽仍有部分文件没有合并成功,但已经不影响编译和使用
In file included from ./include/caffe/util/device_alternate.hpp:40:0, from ./include/caffe/common.hpp:19, from src/caffe/syncedmem.cpp:1: ./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’: ./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’ pad_h, pad_w, stride_h, stride_w)); ^ ./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’ cudnnStatus_t status = condition; \ ^ In file included from ./include/caffe/util/cudnn.hpp:5:0, from ./include/caffe/util/device_alternate.hpp:40, from ./include/caffe/common.hpp:19, from src/caffe/syncedmem.cpp:1: /usr/include/cudnn.h:803:27: note: declared here cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor( ^ Makefile:563: recipe for target '.build_release/src/caffe/syncedmem.o' failed make: *** [.build_release/src/caffe/syncedmem.o] Error 1 make: *** Waiting for unfinished jobs.... In file included from ./include/caffe/util/device_alternate.hpp:40:0, from ./include/caffe/common.hpp:19, from ./include/caffe/blob.hpp:8, from src/caffe/blob.cpp:4: ./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’: ./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’ pad_h, pad_w, stride_h, stride_w));
出错原因应该为Faster R-cnn 和cudnn5.0不兼容,解决办法一是降低更换cudnn的版本,另一种是提高caffe的版本。在下还搜到了大神的一个解决办法。
http://blog.csdn.net/rzjmpb/article/details/52373012,代码贴在下面
cd py-faster-rcnn/caffe-fast-rcnn Git remote add caffe https://github.com/BVLC/caffe.git git fetch caffe git merge caffe/master
鄙人愚钝,对于git合并命令不是很熟悉,一周折腾merge命令还是没有成功,我把过程附到最后,希望大牛们看到此文章能指点一二。
最后解决办法还是在csdn上一番苦寻找到的,参考了卜居和阿·甘的博客,感谢两位的分享。直接贴链接比较合适,后期我还会给出我的caffe-fast-rcnn版本,里面改了一些其它的数据,由于没有详细记录,直接贴结果方便大家使用,大家可以直接下载替换faster-rcnn中的caffe
http://blog.csdn.net/kexinmcu/article/details/53178428(阿甘) http://blog.csdn.net/kkk584520/article/details/51163564( href="http://blog.csdn.net/kkk584520/article/details/51163564" target=_blank>卜居)
附:
但在执行最后一步(合并)的时候,又遇到了棘手的问题。
error: Your local changes to the following files would be overwritten by merge:
Makefile Please, commit your changes or stash them before you can merge. error: The following untracked working tree files would be overwritten by merge: .github/ISSUE_TEMPLATE.md cmake/Modules/FindNCCL.cmake docker/README.md docker/cpu/Dockerfile docker/gpu/Dockerfile docs/install_apt_debian.md docs/tutorial/layers/absval.md docs/tutorial/layers/accuracy.md docs/tutorial/layers/argmax.md docs/tutorial/layers/batchnorm.md docs/tutorial/layers/batchreindex.md docs/tutorial/layers/bias.md docs/tutorial/layers/bnll.md docs/tutorial/layers/concat.md docs/tutorial/layers/contrastiveloss.md docs/tutorial/layers/convolution.md docs/tutorial/layers/crop.md docs/tutorial/layers/data.md docs/tutorial/layers/deconvolution.md docs/tutorial/layers/dropout.md docs/tutorial/layers/dummydata.md docs/tutorial/layers/eltwise.md docs/tutorial/layers/elu.md docs/tutorial/layers/embed.md docs/tutorial/layers/euclideanloss.md docs/tutorial/layers/exp.md docs/tutorial/layers/filter.md docs/tutorial/layers/flatten.md docs/tutorial/layers/hdf5data.md docs/tutorial/layers/hdf5output.md docs/tutorial/layers/hingeloss.md docs/tutorial/layers/im2col.md docs/tutorial/layers/imagedata.md docs/tutorial/layers/infogainloss.md docs/tutorial/layers/innerproduct.md docs/tutorial/layers/input.md docs/tutorial/layers/log.md docs/tutorial/layers/lrn.md docs/tutorial/layers/lstm.md docs/tutorial/layers/memorydata.md docs/tutorial/layers/multinomiallogisticloss.md docs/tutorial/layers/mvn.md docs/tutorial/layers/parameter.md docs/tutorial/layers/pooling.md docs/tutorial/layers/power.md docs/tutorial/layers/prelu.md docs/tutorial/layers/python.md docs/tutorial/layers/recurrent.md docs/tutorial/layers/reduction.md docs/tutorial/layers/relu.md docs/tutorial/layers/reshape.md docs/tutorial/layers/rnn.md docs/tutorial/layers/scale.md docs/tutorial/layers/sigmoid.md docs/tutorial/layers/sigmoidcrossentropyloss.md docs/tutorial/layers/silence.md docs/tutorial/layers/slice.md docs/tutorial/layers/softmax.md docs/tutorial/layers/softmaxwithloss.md docs/tutorial/layers/split.md docs/tutorial/layers/spp.md docs/tutorial/layers/tanh.md docs/tutorial/layers/threshold.md docs/tutorial/layers/tile.md docs/tutorial/layers/windowdata.md examples/02-fine-tuning.ipynb examples/brewing-logreg.ipynb examples/images/cat gray.jpg examples/mnist/train_lenet_docker.sh examples/pascal-multilabel-with-datalayer.ipynb examples/pycaffe/layers/pascal_multilabel_datalayers.py examples/pycaffe/tools.py include/caffe/layers/crop_layer.hpp include/caffe/layers/input_layer.hpp include/caffe/layers/lstm_layer.hpp include/caffe/layers/parameter_layer.hpp include/caffe/layers/recurrent_layer.hpp include/caffe/layers/rnn_layer.hpp include/caffe/util/nccl.hpp python/caffe/coord_map.py python/caffe/test/test_coord_map.py python/caffe/test/test_draw.py python/train.py scripts/split_caffe_proto.py scripts/travis/build.sh scripts/travis/configure-cmake.sh scripts/travis/configure-make.sh scripts/travis/configure.sh scripts/travis/defaults.sh scripts/travis/install-deps.sh scripts/travis/install-python-deps.sh scripts/travis/setup-venv.sh scripts/travis/test.sh src/caffe/layers/crop_layer.cpp src/caffe/layers/crop_layer.cu src/caffe/layers/input_layer.cpp src/caffe/layers/lstm_layer.cpp src/caffe/layers/lstm_unit_layer.cpp src/caffe/layers/lstm_unit_layer.cu src/caffe/layers/parameter_layer.cpp src/caffe/layers/recurrent_layer.cpp src/caffe/layers/recurrent_layer.cu src/caffe/layers/rnn_layer.cpp src/caffe/test/test_crop_layer.cpp src/caffe/test/test_lstm_layer.cpp src/caffe/test/test_rnn_layer.cpp Please move or remove them before you can merge. Aborting
不是很懂git工具的合并命令,但一番苦找,找到了
sudo git clean -d -fx
成功移除合并多余的部分,移除后的部分为
sudo git clean -d -fx Removing .github/ Removing docker/ Removing docs/tutorial/layers/
再次合并
sudo git merge caffe/master Auto-merging src/caffe/proto/caffe.proto Auto-merging src/caffe/layers/dropout_layer.cpp Removing src/caffe/data_reader.cpp Removing scripts/travis/travis_setup_makefile_config.sh Removing scripts/travis/travis_install.sh Removing scripts/travis/travis_build_and_test.sh Auto-merging python/caffe/_caffe.cpp CONFLICT (content): Merge conflict in python/caffe/_caffe.cpp Auto-merging python/caffe/__init__.py CONFLICT (content): Merge conflict in python/caffe/__init__.py Auto-merging include/caffe/layers/python_layer.hpp Auto-merging include/caffe/layer.hpp Removing include/caffe/data_reader.hpp Removing examples/hdf5_classification/solver.prototxt Removing examples/hdf5_classification/nonlinear_solver.prototxt Removing examples/03-fine-tuning.ipynb Removing examples/02-brewing-logreg.ipynb Auto-merging LICENSE CONFLICT (content): Merge conflict in LICENSE Automatic merge failed; fix conflicts and then commit the result.
此次合并后虽仍有部分文件没有合并成功,但已经不影响编译和使用
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