make: *** [.build_release/lib/libcaffe.so] 错误 1

caffe 安装的时候遇到这个问题。

PROTOC src/caffe/proto/caffe.protoCXX src/caffe/layer.cppCXX src/caffe/util/io.cppCXX src/caffe/util/signal_handler.cppCXX src/caffe/util/db_lmdb.cppCXX src/caffe/util/benchmark.cppCXX src/caffe/util/upgrade_proto.cppCXX src/caffe/util/db.cppCXX src/caffe/util/cudnn.cppCXX src/caffe/util/blocking_queue.cppCXX src/caffe/util/math_functions.cppCXX src/caffe/util/hdf5.cppCXX src/caffe/util/insert_splits.cppCXX src/caffe/util/db_leveldb.cppCXX src/caffe/util/im2col.cppCXX src/caffe/data_reader.cppCXX src/caffe/parallel.cppCXX src/caffe/data_transformer.cppCXX src/caffe/internal_thread.cppCXX src/caffe/solver.cppCXX src/caffe/net.cppCXX src/caffe/syncedmem.cppCXX src/caffe/common.cppCXX src/caffe/layer_factory.cppCXX src/caffe/blob.cppCXX src/caffe/layers/cudnn_tanh_layer.cppCXX src/caffe/layers/reshape_layer.cppCXX src/caffe/layers/hdf5_output_layer.cppCXX src/caffe/layers/cudnn_lrn_layer.cppCXX src/caffe/layers/sigmoid_cross_entropy_loss_layer.cppCXX src/caffe/layers/pooling_layer.cppCXX src/caffe/layers/eltwise_layer.cppCXX src/caffe/layers/accuracy_layer.cppCXX src/caffe/layers/im2col_layer.cppCXX src/caffe/layers/deconv_layer.cppCXX src/caffe/layers/cudnn_pooling_layer.cppCXX src/caffe/layers/neuron_layer.cppCXX src/caffe/layers/exp_layer.cppCXX src/caffe/layers/infogain_loss_layer.cppCXX src/caffe/layers/hdf5_data_layer.cppCXX src/caffe/layers/batch_norm_layer.cppCXX src/caffe/layers/hinge_loss_layer.cppCXX src/caffe/layers/embed_layer.cppCXX src/caffe/layers/slice_layer.cppCXX src/caffe/layers/memory_data_layer.cppCXX src/caffe/layers/data_layer.cppCXX src/caffe/layers/image_data_layer.cppCXX src/caffe/layers/log_layer.cppCXX src/caffe/layers/l2normalize_layer.cppCXX src/caffe/layers/flatten_layer.cppCXX src/caffe/layers/softmax_loss_layer.cppCXX src/caffe/layers/cudnn_relu_layer.cppCXX src/caffe/layers/argmax_layer.cppCXX src/caffe/layers/tanh_layer.cppCXX src/caffe/layers/multinomial_logistic_loss_layer.cppCXX src/caffe/layers/contrastive_loss_layer.cppCXX src/caffe/layers/split_layer.cppCXX src/caffe/layers/cudnn_lcn_layer.cppCXX src/caffe/layers/reduction_layer.cppCXX src/caffe/layers/lrn_layer.cppCXX src/caffe/layers/window_data_layer.cppCXX src/caffe/layers/prelu_layer.cppCXX src/caffe/layers/cudnn_softmax_layer.cppCXX src/caffe/layers/concat_layer.cppCXX src/caffe/layers/filter_layer.cppCXX src/caffe/layers/cudnn_conv_layer.cppCXX src/caffe/layers/inner_product_layer.cppCXX src/caffe/layers/spp_layer.cppCXX src/caffe/layers/batch_reindex_layer.cppCXX src/caffe/layers/dummy_data_layer.cppCXX src/caffe/layers/power_layer.cppCXX src/caffe/layers/threshold_layer.cppCXX src/caffe/layers/base_data_layer.cppCXX src/caffe/layers/silence_layer.cppCXX src/caffe/layers/euclidean_loss_layer.cppCXX src/caffe/layers/conv_layer.cppCXX src/caffe/layers/sigmoid_layer.cppCXX src/caffe/layers/mvn_layer.cppCXX src/caffe/layers/loss_layer.cppCXX src/caffe/layers/softmax_layer.cppCXX src/caffe/layers/absval_layer.cppCXX src/caffe/layers/base_conv_layer.cppCXX src/caffe/layers/cudnn_sigmoid_layer.cppCXX src/caffe/layers/triplet_ranking_hinge_loss_layer.cppCXX src/caffe/layers/relu_layer.cppCXX src/caffe/layers/bnll_layer.cppCXX src/caffe/layers/dropout_layer.cppCXX src/caffe/layers/tile_layer.cppCXX src/caffe/solvers/rmsprop_solver.cppCXX src/caffe/solvers/adam_solver.cppCXX src/caffe/solvers/nesterov_solver.cppCXX src/caffe/solvers/adagrad_solver.cppCXX src/caffe/solvers/sgd_solver.cppCXX src/caffe/solvers/adadelta_solver.cppNVCC src/caffe/util/im2col.cuNVCC src/caffe/util/math_functions.cuNVCC src/caffe/layers/power_layer.cuNVCC src/caffe/layers/tile_layer.cuNVCC src/caffe/layers/im2col_layer.cuNVCC src/caffe/layers/cudnn_tanh_layer.cuNVCC src/caffe/layers/reduction_layer.cuNVCC src/caffe/layers/relu_layer.cuNVCC src/caffe/layers/hdf5_data_layer.cuNVCC src/caffe/layers/cudnn_lcn_layer.cuNVCC src/caffe/layers/tanh_layer.cuNVCC src/caffe/layers/prelu_layer.cuNVCC src/caffe/layers/inner_product_layer.cuNVCC src/caffe/layers/split_layer.cuNVCC src/caffe/layers/eltwise_layer.cuNVCC src/caffe/layers/cudnn_pooling_layer.cuNVCC src/caffe/layers/silence_layer.cuNVCC src/caffe/layers/softmax_loss_layer.cuNVCC src/caffe/layers/l2normalize_layer.cuNVCC src/caffe/layers/sigmoid_layer.cuNVCC src/caffe/layers/deconv_layer.cuNVCC src/caffe/layers/pooling_layer.cuNVCC src/caffe/layers/sigmoid_cross_entropy_loss_layer.cuNVCC src/caffe/layers/cudnn_conv_layer.cuNVCC src/caffe/layers/log_layer.cuNVCC src/caffe/layers/exp_layer.cuNVCC src/caffe/layers/mvn_layer.cuNVCC src/caffe/layers/slice_layer.cuNVCC src/caffe/layers/batch_reindex_layer.cuNVCC src/caffe/layers/hdf5_output_layer.cuNVCC src/caffe/layers/absval_layer.cuNVCC src/caffe/layers/conv_layer.cuNVCC src/caffe/layers/filter_layer.cuNVCC src/caffe/layers/concat_layer.cuNVCC src/caffe/layers/contrastive_loss_layer.cuNVCC src/caffe/layers/cudnn_relu_layer.cuNVCC src/caffe/layers/threshold_layer.cuNVCC src/caffe/layers/embed_layer.cuNVCC src/caffe/layers/cudnn_softmax_layer.cuNVCC src/caffe/layers/cudnn_lrn_layer.cuNVCC src/caffe/layers/dropout_layer.cuNVCC src/caffe/layers/bnll_layer.cuNVCC src/caffe/layers/softmax_layer.cuNVCC src/caffe/layers/batch_norm_layer.cuNVCC src/caffe/layers/lrn_layer.cuNVCC src/caffe/layers/cudnn_sigmoid_layer.cuNVCC src/caffe/layers/base_data_layer.cuNVCC src/caffe/layers/euclidean_loss_layer.cuCXX tools/upgrade_net_proto_text.cppCXX tools/caffe.cppCXX tools/compute_image_mean.cpptools/compute_image_mean.cpp:21: 警告：提领类型双关的指针将破坏强重叠规则CXX tools/upgrade_solver_proto_text.cppCXX tools/test_net.cppCXX tools/upgrade_net_proto_binary.cppCXX tools/finetune_net.cpptools/caffe.cpp:28: 警告：提领类型双关的指针将破坏强重叠规则tools/caffe.cpp:32: 警告：提领类型双关的指针将破坏强重叠规则tools/caffe.cpp:34: 警告：提领类型双关的指针将破坏强重叠规则tools/caffe.cpp:36: 警告：提领类型双关的指针将破坏强重叠规则tools/caffe.cpp:38: 警告：提领类型双关的指针将破坏强重叠规则tools/caffe.cpp:43: 警告：提领类型双关的指针将破坏强重叠规则tools/caffe.cpp:46: 警告：提领类型双关的指针将破坏强重叠规则CXX tools/device_query.cppCXX tools/net_speed_benchmark.cppCXX tools/convert_imageset.cppCXX tools/train_net.cppCXX tools/extract_features.cppCXX examples/siamese/convert_mnist_siamese_data.cpptools/convert_imageset.cpp:34: 警告：提领类型双关的指针将破坏强重叠规则tools/convert_imageset.cpp:42: 警告：提领类型双关的指针将破坏强重叠规则CXX examples/cifar10/convert_cifar_data.cppCXX examples/mnist/convert_mnist_data.cppCXX examples/cpp_classification/classification.cppCXX .build_release/src/caffe/proto/caffe.pb.ccexamples/mnist/convert_mnist_data.cpp:32: 警告：提领类型双关的指针将破坏强重叠规则AR -o .build_release/lib/libcaffe.aLD -o .build_release/lib/libcaffe.so/usr/bin/ld: cannot find -lcblascollect2: ld 返回 1make: *** [.build_release/lib/libcaffe.so] 错误 

解决方法：

找了服务器上之前能编译过的caffe 的makefile 替换掉此caffe 下面的makefile