我在segnet / deepobservationEO之上创建了一个caffe模型 我成功编译了caffe。我用过这里提出的模型： https://github.com/nshaud/DeepNetsForEO/blob/master/models/segnet_isprs_vaihingen_irrg.prototxt
我遇到了这个问题：
....
I0221 05:26:39.852553 1508 net.cpp:408] conv1_1 <- data
I0221 05:26:39.852568 1508 net.cpp:382] conv1_1 -> conv1_1
I0221 05:26:39.855118 1508 net.cpp:124] Setting up conv1_1
I0221 05:26:39.855144 1508 net.cpp:131] Top shape: 10 64 128 128 (10485760)
I0221 05:26:39.855150 1508 net.cpp:139] Memory required for data: 45875200
I0221 05:26:39.855170 1508 layer_factory.hpp:77] Creating layer conv1_1_bn
I0221 05:26:39.856801 1508 net.cpp:86] Creating Layer conv1_1_bn
I0221 05:26:39.856830 1508 net.cpp:408] conv1_1_bn <- conv1_1
I0221 05:26:39.856847 1508 net.cpp:369] conv1_1_bn -> conv1_1 (in-place)
F0221 05:26:39.856976 1508 batch_norm_layer.cpp:44] Check failed: this-> layer_param_.param(i).lr_mult() == 0.f (0.5 vs. 0) Cannot configure batch normalization statistics as layer parameters.
*** Check failure stack trace: ***
关于做什么，在哪里检查的想法？ 谢谢 科林
答案 0 :(得分：0)
对于lr_mult: 0.5类型的图层conv1_1_bn，您似乎有"BatchNorm"
Caffe仅支持lr_mult: 0的{{1}}。