我正在尝试使用自己的数据（37×37像素的灰度图像，共1024个类别）训练LeNet网络。

我创建了lmdb文件，并将输出层的尺寸改成了1024。当我使用我的solver文件运行caffe train命令时，程序在打印以下内容后就卡住了：

...layer {  name: "loss"  type: "SoftmaxWithLoss"  bottom: "score"  bottom: "label"  top: "loss"}I0713 17:11:13.334890  9595 layer_factory.hpp:77] Creating layer dataI0713 17:11:13.334939  9595 net.cpp:91] Creating Layer dataI0713 17:11:13.334950  9595 net.cpp:399] data -> dataI0713 17:11:13.334961  9595 net.cpp:399] data -> label

可能是什么问题呢？
我刚开始使用Caffe，任何帮助都将不胜感激。

solver.prototxt

net: "lenet_auto_train.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: "lenet"

lenet.prototxt

layer {  name: "data"  type: "Data"  top: "data"  top: "label"  transform_param {    scale: 0.00392156862745  }  data_param {    source: "dir/dat/1024_37*37_gray_lmdb"    batch_size: 64    backend: LMDB  }}layer {  name: "conv1"  type: "Convolution"  bottom: "data"  top: "conv1"  convolution_param {    num_output: 20    kernel_size: 5    weight_filler {      type: "xavier"    }  }}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"  convolution_param {    num_output: 50    kernel_size: 5    weight_filler {      type: "xavier"    }  }}layer {  name: "pool2"  type: "Pooling"  bottom: "conv2"  top: "pool2"  pooling_param {    pool: MAX    kernel_size: 2    stride: 2  }}layer {  name: "fc1"  type: "InnerProduct"  bottom: "pool2"  top: "fc1"  inner_product_param {    num_output: 500    weight_filler {      type: "xavier"    }  }}layer {  name: "relu1"  type: "ReLU"  bottom: "fc1"  top: "fc1"}layer {  name: "score"  type: "InnerProduct"  bottom: "fc1"  top: "score"  inner_product_param {    num_output: 1024    weight_filler {      type: "xavier"    }  }}layer {  name: "loss"  type: "SoftmaxWithLoss"  bottom: "score"  bottom: "label"  top: "loss"}

回答：

问题在于，我在solver文件中设置了test_iter: 100和test_interval: 500，但我在网络文件中没有指定测试网络或测试数据层。