caffe 运行mnist实例出错

在使用Caffe运行mnist examples时报错,所有步骤都是按照网上步骤一步一步进行的,相当崩溃!

目前错误出现在最后一步,自己间了一个train_mnist_bat,写入 ....\Build\x64\Release\caffe.exe train--solver=../../examples/mnist/lenet_solver.prototxt
Pause 后,双击运行,结果报错。错误如下:

Unknown action: train--solver=../../examples/mnist/lenet_solver.prototxt

反复检查过路径这些,代码都是按照网上步骤撸的,就是报错训练不了,欲哭无泪啊。。。希望大神解答!DL小白跪谢!

2个回答

weixin_45677998
weixin_45677998 哥们,看过这个博文,但是不起作用啊,还望进一步告知哪里出错了
5 个月之前 回复

不知道你的问题解决了吗? 你的train_mnist.bat 文件里的内容train后面是没有加空格吗?

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please run the configure tests and report the results 1>batch_norm_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>batch_reindex_layer.cpp 1>bias_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>bnll_layer.cpp 1>box_annotator_ohem_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>concat_layer.cpp 1>contrastive_loss_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>conv_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>crop_layer.cpp 1>cudnn_conv_layer.cpp 1>cudnn_lcn_layer.cpp 1>cudnn_lrn_layer.cpp 1>cudnn_pooling_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>cudnn_relu_layer.cpp 1>cudnn_sigmoid_layer.cpp 1>cudnn_softmax_layer.cpp 1>cudnn_tanh_layer.cpp 1>data_layer.cpp 1>deconv_layer.cpp 1>dropout_layer.cpp 1>dummy_data_layer.cpp 1>eltwise_layer.cpp 1>elu_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>embed_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>euclidean_loss_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>exp_layer.cpp 1>filter_layer.cpp 1>flatten_layer.cpp 1>hdf5_data_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>hdf5_output_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>hinge_loss_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>im2col_layer.cpp 1>image_data_layer.cpp 1>infogain_loss_layer.cpp 1>inner_product_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>input_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>log_layer.cpp 1>loss_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>lrn_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>memory_data_layer.cpp 1>multinomial_logistic_loss_layer.cpp 1>mvn_layer.cpp 1>neuron_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>parameter_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>pooling_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>power_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>prelu_layer.cpp 1>psroi_pooling_layer.cpp 1>reduction_layer.cpp 1>relu_layer.cpp 1>reshape_layer.cpp 1>scale_layer.cpp 1>sigmoid_cross_entropy_loss_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>sigmoid_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>silence_layer.cpp 1>slice_layer.cpp 1>smooth_l1_loss_layer.cpp 1>smooth_L1_loss_ohem_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>softmax_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>softmax_loss_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>softmax_loss_ohem_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>split_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>spp_layer.cpp 1>tanh_layer.cpp 1>threshold_layer.cpp 1>tile_layer.cpp 1>window_data_layer.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>layer_factory.cpp 1>net.cpp 1>parallel.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>caffe.pb.cc 1>solver.cpp 1>adadelta_solver.cpp 1>adagrad_solver.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>adam_solver.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>nesterov_solver.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>rmsprop_solver.cpp 1>sgd_solver.cpp 1>syncedmem.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>benchmark.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>blocking_queue.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>cudnn.cpp 1>db.cpp 1>db_leveldb.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>db_lmdb.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>hdf5.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>im2col.cpp 1>insert_splits.cpp 1>io.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>math_functions.cpp 1>signal_handler.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>upgrade_proto.cpp 1>Unknown compiler version - please run the configure tests and report the results 1>Unknown compiler version - please run the configure tests and report the results 1>libcaffe.vcxproj -> C:\Users\Kay Chow\Documents\caffe-master\windows\..\Build\x64\Debug\libcaffe.lib 1>BinplaceCudaDependencies : CPU only build, don't copy cuda dependencies. 2>------ 已启动全部重新生成: 项目: caffe, 配置: Debug x64 ------ 3>------ 已启动全部重新生成: 项目: caffe.managed, 配置: Debug x64 ------ 4>------ 已启动全部重新生成: 项目: convert_cifar_data, 配置: Debug x64 ------ 5>------ 已启动全部重新生成: 项目: classification, 配置: Debug x64 ------ 6>------ 已启动全部重新生成: 项目: convert_mnist_data, 配置: Debug x64 ------ 7>------ 已启动全部重新生成: 项目: convert_mnist_siamese_data, 配置: Debug x64 ------ 8>------ 已启动全部重新生成: 项目: upgrade_net_proto_binary, 配置: Debug x64 ------ 9>------ 已启动全部重新生成: 项目: upgrade_net_proto_text, 配置: Debug x64 ------ 2>caffe.cpp 9>upgrade_net_proto_text.cpp 2>Unknown compiler version - please run the configure tests and report the results 4>convert_cifar_data.cpp 3>Stdafx.cpp 9>Unknown compiler version - please run the configure tests and report the results 5>classification.cpp 6>convert_mnist_data.cpp 7>convert_mnist_siamese_data.cpp 4>Unknown compiler version - please run the configure tests and report the results 5>Unknown compiler version - please run the configure tests and report the results 8>upgrade_net_proto_binary.cpp 6>Unknown compiler version - please run the configure tests and report the results 8>Unknown compiler version - please run the configure tests and report the results 7>Unknown compiler version - please run the configure tests and report the results 3>AssemblyInfo.cpp 3>caffelib.cpp 3>caffelib.cpp(61): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(62): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(62): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(68): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(68): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(68): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(69): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(69): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(127): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(128): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(128): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(136): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(136): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(136): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(137): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(137): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(64): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(64): error C2027: 使用了未定义类型“std::array” 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(64): error C3536: “outputs”: 初始化之前无法使用 3>caffelib.cpp(64): error C2109: 下标要求数组或指针类型 3>caffelib.cpp(65): error C2440: “return”: 无法从“int”转换为“std::array *” 3>caffelib.cpp(65): note: 从整型转换为指针类型要求 reinterpret_cast、C 样式转换或函数样式转换 3>caffelib.cpp(71): error C3285: for each 语句不能在“std::array *”类型的变量上操作 3>caffelib.cpp(72): error C2065: “name”: 未声明的标识符 3>caffelib.cpp(74): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(74): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(74): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(74): error C2027: 使用了未定义类型“std::array” 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(78): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(78): error C2027: 使用了未定义类型“std::array” 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(78): error C3536: “values”: 初始化之前无法使用 3>caffelib.cpp(78): error C2109: 下标要求数组或指针类型 3>caffelib.cpp(79): error C3536: “outputs”: 初始化之前无法使用 3>caffelib.cpp(79): error C2109: 下标要求数组或指针类型 3>caffelib.cpp(81): error C2440: “return”: 无法从“int”转换为“std::array *” 3>caffelib.cpp(81): note: 从整型转换为指针类型要求 reinterpret_cast、C 样式转换或函数样式转换 3>caffelib.cpp(132): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(132): error C2027: 使用了未定义类型“std::array” 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(132): error C3536: “outputs”: 初始化之前无法使用 3>caffelib.cpp(132): error C2109: 下标要求数组或指针类型 3>caffelib.cpp(133): error C2440: “return”: 无法从“int”转换为“std::array *” 3>caffelib.cpp(133): note: 从整型转换为指针类型要求 reinterpret_cast、C 样式转换或函数样式转换 3>caffelib.cpp(141): error C3285: for each 语句不能在“std::array *”类型的变量上操作 3>caffelib.cpp(142): error C2065: “name”: 未声明的标识符 3>caffelib.cpp(144): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(144): error C3699: “^”: 不能在类型“std::array”上使用此间接寻址 3>caffelib.cpp(144): note: 编译器将“^”替换为“*”以继续进行分析 3>caffelib.cpp(144): error C2027: 使用了未定义类型“std::array” 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(148): error C2976: “std::array”: 模板 参数太少 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(148): error C2027: 使用了未定义类型“std::array” 3>D:\VS2017\VC\Tools\MSVC\14.12.25827\include\utility(474): note: 参见“std::array”的声明 3>caffelib.cpp(148): error C3536: “values”: 初始化之前无法使用 3>caffelib.cpp(148): error C2109: 下标要求数组或指针类型 3>caffelib.cpp(149): error C3536: “outputs”: 初始化之前无法使用 3>caffelib.cpp(149): error C2109: 下标要求数组或指针类型 3>caffelib.cpp(151): error C2440: “return”: 无法从“int”转换为“std::array *” 3>caffelib.cpp(151): note: 从整型转换为指针类型要求 reinterpret_cast、C 样式转换或函数样式转换 3>已完成生成项目“caffe.managed.vcxproj”的操作 - 失败。 4>LINK : fatal error LNK1104: 无法打开文件“libboost_thread-vc140-mt-gd-1_59.lib” 10>------ 已启动全部重新生成: 项目: upgrade_solver_proto_text, 配置: Debug x64 ------ 4>已完成生成项目“convert_cifar_data.vcxproj”的操作 - 失败。 6>LINK : fatal error LNK1104: 无法打开文件“libboost_thread-vc140-mt-gd-1_59.lib” 6>已完成生成项目“convert_mnist_data.vcxproj”的操作 - 失败。 10>upgrade_solver_proto_text.cpp 7>LINK : fatal error LNK1104: 无法打开文件“libboost_thread-vc140-mt-gd-1_59.lib” 7>已完成生成项目“convert_mnist_siamese_data.vcxproj”的操作 - 失败。 10>Unknown compiler version - please run the configure tests and report the results 9>LINK : fatal error LNK1104: 无法打开文件“libboost_date_time-vc140-mt-gd-1_59.lib” 9>已完成生成项目“upgrade_net_proto_text.vcxproj”的操作 - 失败。 8>LINK : fatal error LNK1104: 无法打开文件“libboost_date_time-vc140-mt-gd-1_59.lib” 8>已完成生成项目“upgrade_net_proto_binary.vcxproj”的操作 - 失败。 5>LINK : fatal error LNK1104: 无法打开文件“libboost_date_time-vc140-mt-gd-1_59.lib” 5>已完成生成项目“classification.vcxproj”的操作 - 失败。 2>LINK : fatal error LNK1104: 无法打开文件“libboost_date_time-vc140-mt-gd-1_59.lib” 2>已完成生成项目“caffe.vcxproj”的操作 - 失败。 11>------ 已启动全部重新生成: 项目: compute_image_mean, 配置: Debug x64 ------ 12>------ 已启动全部重新生成: 项目: convert_imageset, 配置: Debug x64 ------ 13>------ 已启动全部重新生成: 项目: extract_features, 配置: Debug x64 ------ 14>------ 已启动全部重新生成: 项目: test_all, 配置: Debug x64 ------ 15>------ 已启动全部重新生成: 项目: pycaffe, 配置: Debug x64 ------ 16>------ 已启动全部重新生成: 项目: matcaffe, 配置: Debug x64 ------ 15>Skipping project pycaffe, Python support is not enabled in CommonSettings.props. 16>Skipping project matcaffe, Matlab support is not enabled in CommonSettings.props. 12>convert_imageset.cpp 11>compute_image_mean.cpp 13>extract_features.cpp 14>test_accuracy_layer.cpp 14>test_argmax_layer.cpp 14>test_batch_norm_layer.cpp 14>test_batch_reindex_layer.cpp 14>test_benchmark.cpp 14>test_bias_layer.cpp 14>test_blob.cpp 14>test_caffe_main.cpp 14>Unknown compiler version - please run the configure tests and report the results 13>Unknown compiler version - please run the configure tests and report the results 12>Unknown compiler version - please run the configure tests and report the results 11>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 10>LINK : fatal error LNK1104: 无法打开文件“libboost_date_time-vc140-mt-gd-1_59.lib” 10>已完成生成项目“upgrade_solver_proto_text.vcxproj”的操作 - 失败。 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 11>LINK : fatal error LNK1104: 无法打开文件“libboost_filesystem-vc140-mt-gd-1_59.lib” 11>已完成生成项目“compute_image_mean.vcxproj”的操作 - 失败。 12>LINK : fatal error LNK1104: 无法打开文件“libboost_filesystem-vc140-mt-gd-1_59.lib” 12>已完成生成项目“convert_imageset.vcxproj”的操作 - 失败。 13>LINK : fatal error LNK1104: 无法打开文件“libboost_filesystem-vc140-mt-gd-1_59.lib” 13>已完成生成项目“extract_features.vcxproj”的操作 - 失败。 14>test_common.cpp 14>test_concat_layer.cpp 14>test_contrastive_loss_layer.cpp 14>test_convolution_layer.cpp 14>test_crop_layer.cpp 14>test_data_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_data_transformer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_db.cpp 14>test_deconvolution_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_dummy_data_layer.cpp 14>test_eltwise_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_embed_layer.cpp 14>test_euclidean_loss_layer.cpp 14>test_filler.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_filter_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_flatten_layer.cpp 14>test_gradient_based_solver.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_hdf5data_layer.cpp 14>test_hdf5_output_layer.cpp 14>test_hinge_loss_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_im2col_layer.cpp 14>test_image_data_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_infogain_loss_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_inner_product_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_internal_thread.cpp 14>test_io.cpp 14>test_layer_factory.cpp 14>test_lrn_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_math_functions.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_maxpool_dropout_layers.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_memory_data_layer.cpp 14>test_multinomial_logistic_loss_layer.cpp 14>test_mvn_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_net.cpp 14>test_neuron_layer.cpp 14>test_platform.cpp 14>test_pooling_layer.cpp 14>test_power_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_protobuf.cpp 14>test_random_number_generator.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_reduction_layer.cpp 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(1010): error C2220: 警告被视为错误 - 没有生成“object”文件 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(992): note: 编译 类 模板 成员函数 "void caffe::NetTest_TestLossWeightMidNet_Test<T>::TestBody(void)" 时 14> with 14> [ 14> T=Type 14> ] 14>c:\users\kay chow\documents\caffe-master\src\gtest\gtest.h(7341): note: 参见对正在编译的 类 模板 实例化 "caffe::NetTest_TestLossWeightMidNet_Test<T>" 的引用 14> with 14> [ 14> T=Type 14> ] (编译源文件 ..\..\src\caffe\test\test_net.cpp) 14>c:\users\kay chow\documents\caffe-master\src\gtest\gtest.h(7327): note: 编译 类 模板 成员函数 "bool testing::internal::TypeParameterizedTest<caffe::NetTest,testing::internal::TemplateSel<caffe::NetTest_TestLossWeightMidNet_Test>,caffe::gtest_type_params_NetTest_>::Register(const char *,const char *,const char *,int)" 时 (编译源文件 ..\..\src\caffe\test\test_net.cpp) 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(992): note: 参见对正在编译的函数 模板 实例化“bool testing::internal::TypeParameterizedTest<caffe::NetTest,testing::internal::TemplateSel<caffe::NetTest_TestLossWeightMidNet_Test>,caffe::gtest_type_params_NetTest_>::Register(const char *,const char *,const char *,int)”的引用 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(992): note: 参见对正在编译的 类 模板 实例化 "testing::internal::TypeParameterizedTest<caffe::NetTest,testing::internal::TemplateSel<caffe::NetTest_TestLossWeightMidNet_Test>,caffe::gtest_type_params_NetTest_>" 的引用 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(1010): warning C4838: 从“double”转换到“Dtype”需要收缩转换 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(961): warning C4838: 从“double”转换到“Dtype”需要收缩转换 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(941): note: 编译 类 模板 成员函数 "void caffe::NetTest_TestLossWeight_Test<T>::TestBody(void)" 时 14> with 14> [ 14> T=Type 14> ] 14>c:\users\kay chow\documents\caffe-master\src\gtest\gtest.h(7341): note: 参见对正在编译的 类 模板 实例化 "caffe::NetTest_TestLossWeight_Test<T>" 的引用 14> with 14> [ 14> T=Type 14> ] (编译源文件 ..\..\src\caffe\test\test_net.cpp) 14>c:\users\kay chow\documents\caffe-master\src\gtest\gtest.h(7327): note: 编译 类 模板 成员函数 "bool testing::internal::TypeParameterizedTest<caffe::NetTest,testing::internal::TemplateSel<caffe::NetTest_TestLossWeight_Test>,caffe::gtest_type_params_NetTest_>::Register(const char *,const char *,const char *,int)" 时 (编译源文件 ..\..\src\caffe\test\test_net.cpp) 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(941): note: 参见对正在编译的函数 模板 实例化“bool testing::internal::TypeParameterizedTest<caffe::NetTest,testing::internal::TemplateSel<caffe::NetTest_TestLossWeight_Test>,caffe::gtest_type_params_NetTest_>::Register(const char *,const char *,const char *,int)”的引用 14>c:\users\kay chow\documents\caffe-master\src\caffe\test\test_net.cpp(941): note: 参见对正在编译的 类 模板 实例化 "testing::internal::TypeParameterizedTest<caffe::NetTest,testing::internal::TemplateSel<caffe::NetTest_TestLossWeight_Test>,caffe::gtest_type_params_NetTest_>" 的引用 14>test_reshape_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_scale_layer.cpp 14>test_sigmoid_cross_entropy_loss_layer.cpp 14>test_slice_layer.cpp 14>test_softmax_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_softmax_with_loss_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_solver.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_solver_factory.cpp 14>test_split_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_spp_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_stochastic_pooling.cpp 14>test_syncedmem.cpp 14>test_tanh_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_threshold_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>Unknown compiler version - please run the configure tests and report the results 14>test_tile_layer.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>test_upgrade_proto.cpp 14>test_util_blas.cpp 14>gtest-all.cpp 14>Unknown compiler version - please run the configure tests and report the results 14>已完成生成项目“test_all.vcxproj”的操作 - 失败。 ========== 全部重新生成: 成功 3 个,失败 13 个,跳过 0 个 ==========
Caffe的使用,怎么用训练好的mnist model来识别手写字
刚学caffe,照着mnist的例子做了一下,已经training,testing过了。也生成了model文件。但是要把它用在实际中,就不会了。比如我要识别自己的手写字该怎么办呢。能告诉我怎么使用吗。我用的是VS2013+caffe的,python也可以
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
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 ```
ubuntu14 下 Caffe编译问题 出错
# .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3'.build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/upgrade_solver_proto_text.bin] Error 1 make: *** Waiting for unfinished jobs.... .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/upgrade_net_proto_binary.bin] Error 1 .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status .build_release/lib/make: libcaffe.so: undefined reference to *** [.build_release/tools/compute_image_mean.bin] Error 1`cudnnConvolutionBackwardData_v3 ' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/caffe.bin] Error 1 .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/examples/cifar10/convert_cifar_data.bin] Error 1 .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/convert_imageset.bin] Error 1 .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/extract_features.bin] Error 1 .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardData_v3' .build_release/lib/libcaffe.so: undefined reference to `cudnnConvolutionBackwardFilter_v3' collect2: error: ld returned 1 exit status make: *** [.build_release/tools/upgrade_net_proto_text.bin] Error 1_**
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
openpose cmake gui 编译报错caffe lib?
CMake Error: The following variables are used in this project, but they are set to NOTFOUND. Please set them or make sure they are set and tested correctly in the CMake files: Caffe_LIB linked by target "openpose" in directory E:/openpose-1.5.1/src/openpose linked by target "Calibration" in directory E:/openpose-1.5.1/examples/calibration linked by target "OpenPoseDemo" in directory E:/openpose-1.5.1/examples/openpose linked by target "1_custom_post_processing" in directory E:/openpose-1.5.1/examples/tutorial_add_module linked by target "01_body_from_image_default" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "02_whole_body_from_image_default" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "09_keypoints_from_heatmaps" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "08_heatmaps_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "03_keypoints_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "12_asynchronous_custom_input_output_and_datum" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "05_keypoints_from_images_multi_gpu" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "04_keypoints_from_images" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "06_face_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "07_hand_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "10_asynchronous_custom_input" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "11_asynchronous_custom_output" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "13_synchronous_custom_input" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "17_synchronous_custom_all_and_datum" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "14_synchronous_custom_preprocessing" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "15_synchronous_custom_postprocessing" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "16_synchronous_custom_output" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "1_thread_user_processing_function" in directory E:/openpose-1.5.1/examples/tutorial_api_thread linked by target "2_thread_user_input_processing_output_and_datum" in directory E:/openpose-1.5.1/examples/tutorial_api_thread Caffe_Proto_LIB linked by target "openpose" in directory E:/openpose-1.5.1/src/openpose linked by target "Calibration" in directory E:/openpose-1.5.1/examples/calibration linked by target "OpenPoseDemo" in directory E:/openpose-1.5.1/examples/openpose linked by target "1_custom_post_processing" in directory E:/openpose-1.5.1/examples/tutorial_add_module linked by target "01_body_from_image_default" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "02_whole_body_from_image_default" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "09_keypoints_from_heatmaps" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "08_heatmaps_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "03_keypoints_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "12_asynchronous_custom_input_output_and_datum" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "05_keypoints_from_images_multi_gpu" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "04_keypoints_from_images" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "06_face_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "07_hand_from_image" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "10_asynchronous_custom_input" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "11_asynchronous_custom_output" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "13_synchronous_custom_input" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "17_synchronous_custom_all_and_datum" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "14_synchronous_custom_preprocessing" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "15_synchronous_custom_postprocessing" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "16_synchronous_custom_output" in directory E:/openpose-1.5.1/examples/tutorial_api_cpp linked by target "1_thread_user_processing_function" in directory E:/openpose-1.5.1/examples/tutorial_api_thread linked by target "2_thread_user_input_processing_output_and_datum" in directory E:/openpose-1.5.1/examples/tutorial_api_thread Configuring incomplete, errors occurred! See also "E:/openpose-1.5.1/bulid/CMakeFiles/CMakeOutput.log".
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!
caffe中draw_net 无法使用
在调用caffe中draw_net 的时候报错 ``` sudo python /home/yuanshuai/caffe/python/draw_net.py /home/yuanshuai/caffe/examples/mnist/lenet_train_test.prototxt /home/yuanshuai/lenet.png --rankdir=LR ``` 错误如下: ``` Drawing net to /home/yuanshuai/lenet.png Traceback (most recent call last): File "/home/yuanshuai/caffe/python/draw_net.py", line 58, in <module> main() File "/home/yuanshuai/caffe/python/draw_net.py", line 54, in main phase) File "/home/yuanshuai/caffe/python/caffe/draw.py", line 244, in draw_net_to_file fid.write(draw_net(caffe_net, rankdir, ext, phase)) File "/home/yuanshuai/caffe/python/caffe/draw.py", line 223, in draw_net return get_pydot_graph(caffe_net, rankdir, phase=phase).create(format=ext) File "/home/yuanshuai/caffe/python/caffe/draw.py", line 167, in get_pydot_graph node_label = get_layer_label(layer, rankdir) File "/home/yuanshuai/caffe/python/caffe/draw.py", line 107, in get_layer_label layer.pooling_param.kernel_size[0] if len(layer.pooling_param.kernel_size._values) else 1, AttributeError: 'int' object has no attribute '_values' ```
caffe训练时出现 Restarting data prefetching from start.
自己是caffe入门,训练了mnist,想用mnist的网络来训练自己数据做手写体汉字识别,训练是3755个类,每个类是235张测试是3740类,每个类80张,训练时总是反复出现 Restarting data prefetching from start.源码说是数据lmdb无效,但自己按步骤做了lmdb,还是反复地报,求解。。。急
终于明白阿里百度这样的大公司,为什么面试经常拿ThreadLocal考验求职者了
点击上面↑「爱开发」关注我们每晚10点,捕获技术思考和创业资源洞察什么是ThreadLocalThreadLocal是一个本地线程副本变量工具类,各个线程都拥有一份线程私...
《奇巧淫技》系列-python!!每天早上八点自动发送天气预报邮件到QQ邮箱
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