caffe 配置 make、make test 通过,但是make runtest报错
  • 我caffe是下载别人代码运行,里面涉及到caffe
  • 用cmake编译的caffe,make、make test都通过了,make runtest 报错
  • 错误如下图

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编译caffe时make runtest出现7个错误,如图!求大神赐教!!

![图片说明](https://img-ask.csdn.net/upload/201602/28/1456655495_407014.png)

安装caffe(cpu only)过程中最后一步make runtest时出现错,求助!!!

*** SIGABRT (@0x113c) received by PID 4412 (TID 0x7f64016a5b00) from PID 4412; stack trace: *** @ 0x7f63ffd094b0 (unknown) @ 0x7f63ffd09428 gsignal @ 0x7f63ffd0b02a abort @ 0x7f63ffd4b7ea (unknown) @ 0x7f63ffd53e0a (unknown) @ 0x7f63ffd5798c cfree @ 0x7f64008878af google::protobuf::internal::DestroyDefaultRepeatedFields() @ 0x7f6400886b3b google::protobuf::ShutdownProtobufLibrary() @ 0x7f63e98c6329 (unknown) @ 0x7f64015a2c17 (unknown) @ 0x7f63ffd0dff8 (unknown) @ 0x7f63ffd0e045 exit @ 0x7f63ffcf4837 __libc_start_main @ 0x4077c9 _start @ 0x0 (unknown) Makefile:532: recipe for target 'runtest' failed

mac下安装caffe,make时遇到的问题

mac下安装caffe,make时遇到的问题 CXX/LD -o .build_release/tools/caffe.bin clang: warning: argument unused during compilation: '-pthread' Undefined symbols for architecture x86_64: "google::SetUsageMessage(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&)", referenced from: _main in caffe.o "google::SetVersionString(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&)", referenced from: _main in caffe.o ld: symbol(s) not found for architecture x86_64 clang: error: linker command failed with exit code 1 (use -v to see invocation) make: *** [.build_release/tools/caffe.bin] Error 1 如上,该怎么解决,谢谢

fast-rcnn在make test 出错

本人在虚拟机上装的fastr cnn cpu版本 在caffe-fast-rcnn 编译make test时出错 CXX src/caffe/test/test_smooth_L1_loss_layer.cpp (........) src/caffe/test/test_smooth_L1_loss_layer.cpp:72:1: note: in expansion of macro ‘TYPED_TEST’ TYPED_TEST(SmoothL1LossLayerTest, TestGradient) { ^ Makefile:563: recipe for target '.build_releasec/caffe/test/test_smooth_L1_loss_layer.o' failed make: *** [.build_releasec/caffe/test/test_smooth_L1_loss_layer.o] Error 1

fast-rcnn 在make test出错

我在 配置fast rcnn 过程中,make 成功之后 make test 报错 CXX src/caffe/test/test_smooth_L1_loss_layer.cpp (下面是一对关于这个东西的报错) .................... (最后) src/caffe/test/test_smooth_L1_loss_layer.cpp:72:1: note: in expansion of macro ‘TYPED_TEST’ TYPED_TEST(SmoothL1LossLayerTest, TestGradient) { ^ Makefile:5 6 3: recipe for target '.build_release/src/caffe/test/test_smooth_L1_loss_layer.o' failed make: *** [.build_release/src/caffe/test/test_smooth_L1_loss_layer.o] Error

紧急求助!!ubuntu16.04 caffe make clean报错!!

我的系统ubuntu16.04,昨天make 了一下没马上清,今天开机在caffe根目录下水make clean 发现报错 rm:无法删除 ".build_release" : 不允许操作 makefile:660:recipe for target "clean" failed make:[clean] error 1 (ignored) rm:无法删除 "build ": 不允许操作 makefile:660:recipe for target "clean" failed make:[clean] error 1 (ignored) rm:无法删除 "distribute": 不允许操作 makefile:660:recipe for target "clean" failed make:[clean] error 1 (ignored) 我什么文件都没改呀!以前一直正常。 跪求各位大侠赐教!! 请问“输出目录”或“输出文件夹”在哪个位置,本人小白请楼下大侠指点,多谢!

服务器无root权限配置caffe安装snappy时make出错

根据教程https://blog.csdn.net/jiajinrang93/article/details/80337513,安装snappy进行make时报错,cmake版本为3.5.1.请问这要怎样解决?? ``` CMakeFiles/snappy_unittest.dir/snappy_unittest.cc.o:(.rodata._ZTIN6snappy31Snappy_ReadPastEndOfBuffer_TestE[_ZTIN6snappy31Snappy_ReadPastEndOfBuffer_TestE]+0x10): more undefined references to `typeinfo for testing::Test' follow collect2: error: ld returned 1 exit status CMakeFiles/snappy_unittest.dir/build.make:122: recipe for target 'snappy_unittest' failed make[2]: *** [snappy_unittest] Error 1 CMakeFiles/Makefile2:104: recipe for target 'CMakeFiles/snappy_unittest.dir/all' failed make[1]: *** [CMakeFiles/snappy_unittest.dir/all] Error 2 Makefile:138: recipe for target 'all' failed make: *** [all] Error 2 ```

caffe编译时出现make: protoc:命令未找到

make all -j8 时出现下面问题: ``` PROTOC src/caffe/proto/caffe.proto make: protoc:命令未找到 Makefile:629: recipe for target '.build_release/src/caffe/proto/caffe.pb.cc' failed make: *** [.build_release/src/caffe/proto/caffe.pb.cc] Error 127 make: *** 正在等待未完成的任务.... ```

Ubuntu配置caffe执行make all命令报错(各位大哥 救救孩子吧~~折腾一整天了)

做一个项目需要配置caffe环境 之前从来没接触过 然后在caffe下执行make all就报错: LD -o .build_release/lib/libcaffe.so.1.0.0 /usr/bin/ld: cannot find -lhdf5_hl /usr/bin/ld: cannot find -lhdf5 collect2: error: ld returned 1 exit status Makefile:582: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1 百度到的 修改Makefile.config和 修改Makefile文件的LIBRARIES+= 以及sudo apt-get install libopenblas-dev 的方法都试过了没用啊 真是没辙了 求助万能的网友 救救孩子吧~~~感激不尽

ubuntu15.04安装caffe出现问题?

make 进行到最后一步 make runtest 出现问题,求助!!!命令行报错如下: ``` [----------] Global test environment tear-down [==========] 1887 tests from 255 test cases ran. (476334 ms total) [ PASSED ] 1880 tests. [ FAILED ] 7 tests, listed below: [ FAILED ] SGDSolverTest/0.TestSnapshotShare, where TypeParam = caffe::CPUDevice<float> [ FAILED ] AdaGradSolverTest/0.TestSnapshotShare, where TypeParam = caffe::CPUDevice<float> [ FAILED ] NesterovSolverTest/0.TestSnapshot, where TypeParam = caffe::CPUDevice<float> [ FAILED ] NesterovSolverTest/0.TestSnapshotShare, where TypeParam = caffe::CPUDevice<float> [ FAILED ] AdaDeltaSolverTest/0.TestSnapshotShare, where TypeParam = caffe::CPUDevice<float> [ FAILED ] AdamSolverTest/0.TestSnapshotShare, where TypeParam = caffe::CPUDevice<float> [ FAILED ] RMSPropSolverTest/0.TestSnapshotShare, where TypeParam = caffe::CPUDevice<float> 7 FAILED TESTS Makefile:523: recipe for target 'runtest' failed ```

装完python,opencv等以后,在caffe根目录下sudo make显示未定义的引用

刚刚装好caffe的时候编译是可以通过的,但是今天装了python,opencv之类的以后,在caffe根目录下make clean,再sudo make就报错了。本人是新手,真的不太明白,求大神指点![图片说明](http://forum.csdn.net/PointForum/ui/scripts/csdn/Plugin/001/face/9.gif)![图片](https://img-ask.csdn.net/upload/201703/12/1489328961_74238.jpg)

在caffe安装中 make 出错 怎么解决啊

caffe make 中出现错误 LD -o .build_release/lib/libcaffe-nv.so.0.17.2 /usr/bin/ld: 找不到 -lnvidia-ml /usr/bin/ld: /usr/lib/x86_64-linux-gnu/libturbojpeg.a(libturbojpeg_la-turbojpeg.o): relocation R_X86_64_32 against `.data' can not be used when making a shared object; recompile with -fPIC /usr/lib/x86_64-linux-gnu/libturbojpeg.a: 无法添加符号: 错误的值 collect2: error: ld returned 1 exit status Makefile:601: recipe for target '.build_release/lib/libcaffe-nv.so.0.17.2' failed make: *** [.build_release/lib/libcaffe-nv.so.0.17.2] Error 1

caffe make 出错 boost重装了也没有用 求高手!支付宝发红包

sun@sunwin:/RMPE$ cp Makefile.config.example Makefile.config sun@sunwin:/RMPE$ sudo make all -j4 [sudo] sun 的密码: PROTOC src/caffe/proto/caffe.proto CXX src/caffe/blob.cpp CXX src/caffe/layer_factory.cpp CXX src/caffe/syncedmem.cpp CXX src/caffe/common.cpp CXX src/caffe/solvers/nesterov_solver.cpp In file included from /usr/local/include/boost/config.hpp:61:0, from /usr/local/include/boost/thread/detail/platform.hpp:14, from /usr/local/include/boost/thread/thread_only.hpp:12, from /usr/local/include/boost/thread/thread.hpp:12, from /usr/local/include/boost/thread.hpp:13, from src/caffe/common.cpp:1: /usr/local/include/boost/core/ignore_unused.hpp:17:19: error: ‘constexpr’ does not name a type BOOST_FORCEINLINE BOOST_CXX14_CONSTEXPR void ignore_unused(Ts const& ...) ^ /usr/local/include/boost/core/ignore_unused.hpp:17:19: note: C++11 ‘constexpr’ only available with -std=c++11 or -std=gnu++11 /usr/local/include/boost/core/ignore_unused.hpp:21:19: error: ‘constexpr’ does not name a type BOOST_FORCEINLINE BOOST_CXX14_CONSTEXPR void ignore_unused() ^ /usr/local/include/boost/core/ignore_unused.hpp:21:19: note: C++11 ‘constexpr’ only available with -std=c++11 or -std=gnu++11 In file included from /usr/local/include/boost/thread/mutex.hpp:16:0, from /usr/local/include/boost/thread/pthread/thread_data.hpp:13, from src/caffe/common.cpp:1: /usr/include/c++/5/bits/stl_pair.h:214:5: note: template argument deduction/substitution failed: In file included from /usr/local/include/boost/type_index/stl_type_index.hpp:22:0, from /usr/local/include/boost/type_index.hpp:29, from /usr/local/include/boost/function/function_base.hpp:21, from /usr/local/include/boost/function/detail/prologue.hpp:17, from /usr/local/include/boost/function/function_template.hpp:13, from /usr/local/include/boost/function/detail/maybe_include.hpp:13, from /usr/local/include/boost/function/function0.hpp:11, from /usr/local/include/boost/python/errors.hpp:13, from /usr/local/include/boost/python/handle.hpp:11, from /usr/local/include/boost/python/args_fwd.hpp:10, from /usr/local/include/boost/python/args.hpp:10, from /usr/local/include/boost/python.hpp:11, from src/caffe/layer_factory.cpp:4: /usr/local/include/boost/type_index/type_index_facade.hpp:191:25: note: ‘boost::typeindex::stl_type_index’ is not derived from ‘const std::pair<_T1, _T2>’ return Derived(lhs) == rhs; ^ src/caffe/layer_factory.cpp: In function ‘boost::shared_ptrcaffe::Layer<Dtype > caffe::GetTanHLayer(const caffe::LayerParameter&) [with Dtype = double]’: src/caffe/layer_factory.cpp:237:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ src/caffe/layer_factory.cpp: In function ‘boost::shared_ptrcaffe::Layer<Dtype > caffe::GetTanHLayer(const caffe::LayerParameter&) [with Dtype = float]’: src/caffe/layer_factory.cpp: In function ‘boost::shared_ptrcaffe::Layer<Dtype > caffe::GetConvolutionLayer(const caffe::LayerParameter&) [with Dtype = double]’: src/caffe/layer_factory.cpp:71:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ src/caffe/layer_factory.cpp: In function ‘boost::shared_ptrcaffe::Layer<Dtype > caffe::GetConvolutionLayer(const caffe::LayerParameter&) [with Dtype = float]’: src/caffe/layer_factory.cpp:71:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ Makefile:575: recipe for target '.build_release/src/caffe/layer_factory.o' failed make: *** [.build_release/src/caffe/layer_factory.o] Error 1 Steps to reproduce If you are having difficulty building Caffe or training a model, please ask the caffe-users mailing list. If you are reporting a build error that seems to be due to a bug in Caffe, please attach your build configuration (either Makefile.config or CMakeCache.txt) and the output of the make (or cmake) command. MY system configuration Operating system: ubuntu16.04 CUDA version (if applicable):CUDA 8.0 CUDNN version (if applicable): CUDnn5.0 Python or MATLAB version (for pycaffe and matcaffe respectively):Python 2.7 MATLAB2014a 急求高手解决 ! 解决了支付宝直接发红包!

安装caffe的make all遇到这个问题,请问这要怎么弄?

libcudart.so.6.5, needed by /usr/local/lib/libopencv_core.so, may conflict with libcudart.so.7.5 请问这是什么问题,我安装的是cuda7.5啊,还有我的opencv是3.0

在Linux服务器上配置python(无root权限),make pycaffe出现问题。

根据教程https://blog.csdn.net/jiajinrang93/article/details/80337513?tdsourcetag=s_pctim_aiomsg 在Linux服务器上配置caffe, cmake 时出现: ``` CMake Error at CMakeLists.txt:107 (add_dependencies): The dependency target "pycaffe" of target "pytest" does not exist. ``` 但此错误不影响后续make 和 make install 以及 make runtest都可以通过 ![图片说明](https://img-ask.csdn.net/upload/201904/19/1555673994_130280.jpg) 然后在配置python接口时使用命令: ```python cd ~/caffe make pycaffe ``` 出现错误: ``` CXX .build_release/src/caffe/proto/caffe.pb.cc In file included from .build_release/src/caffe/proto/caffe.pb.cc:4:0: .build_release/src/caffe/proto/caffe.pb.h:9:42: fatal error: google/protobuf/stubs/common.h: No such file or directory compilation terminated. Makefile:598: recipe for target '.build_release/src/caffe/proto/caffe.pb.o' failed make: *** [.build_release/src/caffe/proto/caffe.pb.o] Error 1 ``` 以上问题已经解决√ --- 新的问题: make pycaffe出现 ``` LD -o .build_release/lib/libcaffe.so.1.0.0 /usr/bin/ld: cannot find -lhdf5_serial_hl /usr/bin/ld: cannot find -lhdf5_serial /usr/bin/ld: cannot find -lboost_python collect2: error: ld returned 1 exit status Makefile:582: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1 ```

windows环境下 caffe 配置 error lnk2001

windows环境下 caffe 配置在release x64下,编译每个项目时都会出现几百个无法解析的外部符号错误 error lnk2001 ,都是和caffe 有关的,如下图所示,编译通不过就无法使用gpu加速呀,求大神指点,为什么会这样![图片](https://img-ask.csdn.net/upload/201611/27/1480223647_527931.jpg)![图片](https://img-ask.csdn.net/upload/201611/27/1480223823_294153.jpg)

Mac下配置好caffe后,其他路径make pycaffe 提示错误

Mac下配置好caffe后,在caffe/python目录下可以import caffe,但是换成别的路径执行make pycaffe就有如下提示:ImportError: No module named caffe 请问是我在配置过程中哪里出现问题了吗??求解答

ubuntu14.04环境下安装配置caffe,最后编译caffe时出错

我按照http://www.linuxdiyf.com/linux/13008.html 这篇博客配置caffe,前面都没有问题, 但是到这一步之后 ![图片说明](https://img-ask.csdn.net/upload/201601/29/1454060895_988771.png), 出现了问题,问题如下 ![![图片说明](https://img-ask.csdn.net/upload/201601/29/1454060916_9479.png) ![图片说明](https://img-ask.csdn.net/upload/201601/29/1454060959_210537.png), 提示的是这个 make: *** [.build_release/src/caffe/layer_factory.o] 错误 1 make: *** 正在等待未完成的任务.... 我本人不太懂,请问怎么处理啊,急。。 谢谢各位

ubantu16.04安装caffe,最后运行测试的时候出现问题,求高手解答

CXX src/caffe/layers/cudnn_pooling_layer.cpp CXX src/caffe/layers/spp_layer.cpp CXX src/caffe/layers/relu_layer.cpp CXX src/caffe/layers/input_layer.cpp CXX src/caffe/layers/scale_layer.cpp CXX src/caffe/layers/bias_layer.cpp CXX src/caffe/layers/cudnn_lcn_layer.cpp CXX src/caffe/layers/cudnn_tanh_layer.cpp CXX src/caffe/layers/cudnn_sigmoid_layer.cpp CXX src/caffe/layers/split_layer.cpp CXX src/caffe/layers/inner_product_layer.cpp CXX src/caffe/layers/reshape_layer.cpp CXX src/caffe/layers/threshold_layer.cpp CXX src/caffe/layers/concat_layer.cpp CXX src/caffe/layers/tanh_layer.cpp CXX src/caffe/layers/embed_layer.cpp CXX src/caffe/solver.cpp CXX src/caffe/internal_thread.cpp CXX src/caffe/solvers/nesterov_solver.cpp CXX src/caffe/solvers/adam_solver.cpp CXX src/caffe/solvers/adagrad_solver.cpp CXX src/caffe/solvers/adadelta_solver.cpp CXX src/caffe/solvers/rmsprop_solver.cpp CXX src/caffe/solvers/sgd_solver.cpp CXX src/caffe/data_transformer.cpp CXX src/caffe/blob.cpp NVCC src/caffe/util/math_functions.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/util/im2col.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/split_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/cudnn_softmax_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/cudnn_lcn_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/bias_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/prelu_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/crop_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/contrastive_loss_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/log_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/hdf5_data_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/power_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). NVCC src/caffe/layers/tanh_layer.cu nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). 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