caffe segnet深層觀察錯誤的批層參數

Question

我在segnet/deepobservationEO上創建了caffe模型 我成功編譯了caffe。我這裏使用的提出的模型： https://github.com/nshaud/DeepNetsForEO/blob/master/models/segnet_isprs_vaihingen_irrg.prototxt

我得到這個問題：

.... 
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: *** 

怎樣做任何想法，在哪裏檢查？ THX 科林

Answer 1

好像你有lr_mult: 0.5爲"BatchNorm"型層conv1_1_bn。
Caffe只支持lr_mult: 0層"BatchNorm"。