caffe segnet深度观测错误批次层参数

我在segnet/deepobservationEO上创建了一个caffe模型 我成功地编译了caffe。我使用了这里提出的模型：

我明白这个问题：

....
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: ***

。。。。
I0221 05:26:39.852553 1508 net.cpp:408]conv1\u 1 conv1\u 1
I0221 05:26:39.855118 1508 net.cpp:124]设置conv1_1
I0221 05:26:39.855144 1508净。cpp:131]顶部形状：10 64 128 128（10485760）
I0221 05:26:39.855150 1508 net.cpp:139]数据所需的内存：45875200
I0221 05:26:39.855170 1508层工厂。hpp:77]创建层conv1
I0221 05:26:39.856801 1508 net.cpp:86]正在创建层conv1\u bn
I0221 05:26:39.856830 1508净额。cpp:408]conv1_1_bn conv1_1（到位）
F0221 05:26:39.856976 1508批次规范层。cpp:44]检查失败：此->层参数。参数（i）。lr_mult（）==0。f（0.5 vs.0）无法将批次规范化统计信息配置为层参数。
***检查故障堆栈跟踪：***

知道该做什么，去哪里查吗？ 谢谢

---

colin

对于类型为

的层
conv1\u bn
“BatchNorm”

Caffe仅支持层

“BatchNorm”

的

lr\u mult:0