*** 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 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

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

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

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！

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 ```

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.... ```

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

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 ```

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

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

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！

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

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  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

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

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 ， 出现了问题，问题如下  ， 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

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). NVCC src/caffe/layers/absval_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/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 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/elu_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/scale_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/slice_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/im2col_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/conv_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/cudnn_lrn_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/solvers/nesterov_solver.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 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). LD -o .build_release/lib/libcaffe.so.1.0.0 CXX/LD -o .build_release/test/test_all.testbin src/caffe/test/test_caffe_main.cpp .build_release/tools/caffe make: .build_release/tools/caffe: Command not found Makefile:532: recipe for target 'runtest' failed make: *** [runtest] Error 127 minglei@minglei:~/caffe$

今年，我也32了 ，为了不给大家误导，咨询了猎头、圈内好友，以及年过35岁的几位老程序员……舍了老脸去揭人家伤疤……希望能给大家以帮助，记得帮我点赞哦。 目录： 你以为的人生 一次又一次的伤害 猎头界的真相 如何应对互联网行业的「中年危机」 一、你以为的人生 刚入行时，拿着傲人的工资，想着好好干，以为我们的人生是这样的： 等真到了那一天，你会发现，你的人生很可能是这样的： ...

程序员在一个周末的时间，得了重病，差点当场去世，还好及时挽救回来了。

数据结构与算法思维导图

老生常谈的一个梗，到2020了还在争论，你们一天天的，哎哎哎，我不是针对你一个，我是说在座的各位都是人才！ 上图红色的这3个箭头，对于通过new产生一个字符串（”宜春”）时，会先去常量池中查找是否已经有了”宜春”对象，如果没有则在常量池中创建一个此字符串对象，然后堆中再创建一个常量池中此”宜春”对象的拷贝对象。 也就是说准确答案是产生了一个或两个对象，如果常量池中原来没有 ”宜春” ,就是两个。...

昨天早上通过远程的方式 review 了两名新来同事的代码，大部分代码都写得很漂亮，严谨的同时注释也很到位，这令我非常满意。但当我看到他们当中有一个人写的 switch 语句时，还是忍不住破口大骂：“我擦，小王，你丫写的 switch 语句也太老土了吧！” 来看看小王写的代码吧，看完不要骂我装逼啊。 private static String createPlayer(PlayerTypes p...

文章目录Linux 概述什么是LinuxUnix和Linux有什么区别？什么是 Linux 内核？Linux的基本组件是什么？Linux 的体系结构BASH和DOS之间的基本区别是什么？Linux 开机启动过程？Linux系统缺省的运行级别？Linux 使用的进程间通信方式？Linux 有哪些系统日志文件？Linux系统安装多个桌面环境有帮助吗？什么是交换空间？什么是root帐户什么是LILO？什...

一、背景 在开发联调阶段发现一个接口的响应时间特别长，经常超时，囧… 本文讲讲是如何定位到性能瓶颈以及修改的思路，将该接口从 2 s 左右优化到 200ms 以内 。 二、步骤 2.1 定位 定位性能瓶颈有两个思路，一个是通过工具去监控，一个是通过经验去猜想。 2.1.1 工具监控 就工具而言，推荐使用 arthas ，用到的是 trace 命令 具体安装步骤很简单，大家自行研究。 我的使用步骤是...

微信上收到一位读者小涛的留言，大致的意思是自己只有高中学历，经过培训后找到了一份工作，但很难胜任，考虑要不要辞职找一份他能力可以胜任的实习工作。下面是他留言的一部分内容： 二哥，我是 2016 年高中毕业的，考上了大学但没去成，主要是因为当时家里经济条件不太允许。 打工了三年后想学一门技术，就去培训了。培训的学校比较垃圾，现在非常后悔没去正规一点的机构培训。 去年 11 月份来北京找到了一份工...

JVM内存结构和Java内存模型都是面试的热点问题，名字看感觉都差不多，网上有些博客也都把这两个概念混着用，实际上他们之间差别还是挺大的。 通俗点说，JVM内存结构是与JVM的内部存储结构相关，而Java内存模型是与多线程编程相关，本文针对这两个总是被混用的概念展开讲解。 JVM内存结构 JVM构成 说到JVM内存结构，就不会只是说内存结构的5个分区，而是会延展到整个JVM相关的问题，所以先了解下

互联网公司工作，很难避免不和黑客们打交道，我呆过的两家互联网公司，几乎每月每天每分钟都有黑客在公司网站上扫描。有的是寻找 Sql 注入的缺口，有的是寻找线上服务器可能存在的漏洞，大部分都...

浏览器再现“神仙打架”。整理 | 屠敏头图 | CSDN 下载自东方 IC出品 | CSDN（ID：CSDNnews）从 IE 到 Chrome，再从 Chrome 到 Edge，微软与...

loonggg读完需要3分钟速读仅需 1 分钟大家好，我是你们的校长。我之前讲过，这年头，只要肯动脑，肯行动，程序员凭借自己的技术，赚钱的方式还是有很多种的。仅仅靠在公司出卖自己的劳动时...

最近有个老铁，告诉我说，上班一个月，后悔当初着急入职现在公司了。他之前在美图做手机研发，今年美图那边今年也有一波组织优化调整，他是其中一个，在协商离职后，当时捉急找工作上班，因为有房贷供着，不能没有收入来源。所以匆忙选了一家公司，实际上是一个大型外包公司，主要派遣给其他手机厂商做外包项目。**当时承诺待遇还不错，所以就立马入职去上班了。但是后面入职后，发现薪酬待遇这块并不是HR所说那样，那个HR自...

昨天看到一档综艺节目，讨论了两个话题：（1）中国学生的数学成绩，平均下来看，会比国外好？为什么？（2）男生的数学成绩，平均下来看，会比女生好？为什么？同时，我又联想到了一个技术圈经常讨...

故事总是一个接着一个到来...上周写完《鲁大师已经彻底沦为一款垃圾流氓软件！》这篇文章之后，鲁大师的市场工作人员就找到了我，希望把这篇文章删除掉。经过一番沟通我先把这篇文章从公号中删除了...

蒋凡是何许人也？ 2017年12月27日，在入职4年时间里，蒋凡开挂般坐上了淘宝总裁位置。 为此，时任阿里CEO张勇在任命书中力赞： 蒋凡加入阿里，始终保持创业者的冲劲，有敏锐的...

原博客再更新，可能就没了，之后将持续更新本篇博客。

提到“程序员”，多数人脑海里首先想到的大约是：为人木讷、薪水超高、工作枯燥…… 然而，当离开工作岗位，撕去层层标签，脱下“程序员”这身外套，有的人生动又有趣，马上展现出了完全不同的A/B面人生！ 不论是简单的爱好，还是正经的副业，他们都干得同样出色。偶尔，还能和程序员的特质结合，产生奇妙的“化学反应”。 @Charlotte：平日素颜示人，周末美妆博主 大家都以为程序媛也个个不修边幅，但我们也许...

文章目录数据库基础知识为什么要使用数据库什么是SQL？什么是MySQL?数据库三大范式是什么mysql有关权限的表都有哪几个MySQL的binlog有有几种录入格式？分别有什么区别？数据类型mysql有哪些数据类型引擎MySQL存储引擎MyISAM与InnoDB区别MyISAM索引与InnoDB索引的区别？InnoDB引擎的4大特性存储引擎选择索引什么是索引？索引有哪些优缺点？索引使用场景（重点）...

有个好朋友ZS，是技术总监，昨天问我：“有一个老下属，跟了我很多年，做事勤勤恳恳，主动性也很好。但随着公司的发展，他的进步速度，跟不上团队的步伐了，有点...

私下里，有不少读者问我：“二哥，如何才能写出一份专业的技术简历呢？我总感觉自己写的简历太烂了，所以投了无数份，都石沉大海了。”说实话，我自己好多年没有写过简历了，但我认识的一个同行，他在阿里，给我说了一些他当年写简历的方法论，我感觉太牛逼了，实在是忍不住，就分享了出来，希望能够帮助到你。 01、简历的本质 作为简历的撰写者，你必须要搞清楚一点，简历的本质是什么，它就是为了来销售你的价值主张的。往深...

有小伙伴问松哥这个问题，他在上海某公司，在离职了几个月后，前公司的领导联系到他，希望他能够返聘回去，他很纠结要不要回去？ 俗话说好马不吃回头草，但是这个小伙伴既然感到纠结了，我觉得至少说明了两个问题：1.曾经的公司还不错；2.现在的日子也不是很如意。否则应该就不会纠结了。 老实说，松哥之前也有过类似的经历，今天就来和小伙伴们聊聊回头草到底吃不吃。 首先一个基本观点，就是离职了也没必要和老东家弄的苦...

往往，我们看不进去大段大段的逻辑。深刻的哲理，往往短而精悍，一阵见血。问：产品经理挺漂亮的，有点心动，但不知道合不合得来。男生更看重女生的身材脸蛋，还是...

都是出来打工的，多为自己着想

本文作者用对比非常鲜明的两个开发团队的故事，讲解了敏捷开发之道 —— 如果你的团队缺乏统一标准的环境，那么即使勤劳努力，不仅会极其耗时而且成果甚微，使用...

二哥，有个事想询问下您的意见，您觉得应届生值得去外包吗？公司虽然挺大的，中xx，但待遇感觉挺低，马上要报到，挺纠结的。

当HR压你价，说你只值7K时，你可以流畅地回答，记住，是流畅，不能犹豫。 礼貌地说：“7K是吗？了解了。嗯~其实我对贵司的面试官印象很好。只不过，现在我的手头上已经有一份11K的offer。来面试，主要也是自己对贵司挺有兴趣的，所以过来看看……”（未完） 这段话主要是陪HR互诈的同时，从公司兴趣，公司职员印象上，都给予对方正面的肯定，既能提升HR的好感度，又能让谈判气氛融洽，为后面的发挥留足空间。...

HashMap底层实现原理，红黑树，B+树，B树的结构原理 Spring的AOP和IOC是什么？它们常见的使用场景有哪些？Spring事务，事务的属性，传播行为，数据库隔离级别 Spring和SpringMVC，MyBatis以及SpringBoot的注解分别有哪些？SpringMVC的工作原理，SpringBoot框架的优点，MyBatis框架的优点 SpringCould组件有哪些，他们...

面试阿里p7被问到的问题(当时我只知道第一个)：@Conditional是做什么的?@Conditional多个条件是什么逻辑关系？条件判断在什么时候执...

终于懂了TCP和UDP协议区别