我在Caffe上编写了一个网络来训练MNIST数据集，但遇到了以下错误：
Message type "caffe.LayerParameter" has no field named "blogs_lr".
我在网上搜索了一下，有人告诉我将blogs_lr更改为lr_mult，因为前者是旧版本的。我做了更改，但错误仍然没有解决：
I0907 14:47:33.021236 23466 solver.cpp:81] Creating training net from train_net file: /home/pris/caffe-master/examples/mnist/my_lenet_train.prototxt[libprotobuf ERROR google/protobuf/text_format.cc:245] Error parsing text-format caffe.NetParameter: 22:10: Message type "caffe.LayerParameter" has no field named "lr_mult".F0907 14:47:33.021351 23466 upgrade_proto.cpp:79] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: /home/pris/caffe-master/examples/mnist/my_lenet_train.prototxt*** Check failure stack trace: *** @ 0x7fc9b530bdaa (unknown) @ 0x7fc9b530bce4 (unknown) @ 0x7fc9b530b6e6 (unknown) @ 0x7fc9b530e687 (unknown) @ 0x7fc9b591b19e caffe::ReadNetParamsFromTextFileOrDie() @ 0x7fc9b59097e7 caffe::Solver<>::InitTrainNet() @ 0x7fc9b590a83c caffe::Solver<>::Init() @ 0x7fc9b590ab6a caffe::Solver<>::Solver() @ 0x7fc9b5a49663 caffe::Creator_SGDSolver<>() @ 0x40e9be caffe::SolverRegistry<>::CreateSolver() @ 0x407b62 train() @ 0x4059ec main @ 0x7fc9b4619f45 (unknown) @ 0x406121 (unknown) @ (nil) (unknown)Aborted (core dumped)这是我定义的网络（my_lenet_train.prototxt）：
name:"LeNet"layer{ name:"mnist" type:"Data" data_param { source:"/home/pris/caffe-master/examples/mnist/mnist_train_lmdb" batch_size:64 scale:0.00390625 } top:"data" top:"label"}layer{ name:"conv1" type:"Convolution" bottom:"data" top:"conv1" lr_mult:1 lr_mult:2 convolution_param { num_output:20 kernel_size:5 stride:1 weight_filler { type:"xavier" } bias_filler {type:"constant" } }}layer{ name:"pool1" type:"Pooling" bottom:"conv1" top:"pool1" pooling_param { pool:MAX kernel_size:2 stride:2 }}layer{ name:"conv2" type:"Convolution" bottom:"pool1" top:"conv2" lr_mult:1 lr_mult:2 convolution_param { num_output:50 kernel_size:5 stride:1 weight_filler { type:"xavier" } bias_filler {type:"constant" } }}layer{ name:"pool2" type:"Pooling" bottom:"conv2" top:"pool2" pooling_param { pool:MAX kernel_size:2 stride:2 }}layer{ name:"ip1" type:"InnerProduct" lr_mult:1 lr_mult:2 inner_product_param { num_output:500 weight_filler {type:"xavier"} bias_filler {type:"constant" } } bottom:"pool2" top:"ip1"}layer{ name:"relu1" type:"ReLU" bottom:"ip1" top:"ip1"}layer{ name:"ip2" type:"InnerProduct" lr_mult:1 lr_mult:2 inner_product_param { num_output:10 weight_filler {type:"xavier"} bias_filler {type:"constant" } } bottom:"ip1" top:"ip2"}layer{ name:"loss" type:"SoftmaxWithLoss" bottom:"ip2" bottom:"label"}}my_lenet_solver.prototxt:
train_net:"/home/pris/caffe-master/examples/mnist/my_lenet_train.prototxt"test_net:"/home/pris/caffe-master/examples/mnist/lenet_train_test.prototxt"test_iter:100test_interval:500base_lr:0.01momentum:0.9weight_decay:0.0005lr_policy:"inv"gamma:0.0001power:0.75display:100max_iter:10000snapshot:5000snapshot_prefix:"/home/pris/caffe-master/examples/mnist/lenet"solver_mode:1train_lenet.sh:
#!/usr/bin/env shTOOLS=/home/pris/caffe-master/build/tools$TOOLS/caffe train \ --solver=/home/pris/caffe-master/examples/mnist/my_lenet_solver.prototxt顺便提一下，我之前用imagenet训练过自己的数据集（就像这里的例子：使用Caffe训练我自己的JPG数据集：类型”caffe.ImageDataParameter”没有名为”backend”的字段，网络定义中也有变量‘lr_mult’，但我运行时从未遇到过这个错误。我真的很想知道为什么。我的电脑上只有一个版本的Caffe。
回答：
‘lr_mult’参数必须放在‘param’标签内。请查看这里。
layer { name: "conv1" type: "Convolution" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 20 kernel_size: 5 stride: 1 weight_filler { type: "xavier" } bias_filler { type: "constant" } } bottom: "data" top: "conv1"}