Unknown layer type: L2Normalize

[derkbreeze]

Hi Seth:
Thank you for your great work.
When I train the detection model. I got the following error:

I0322 11:15:13.847193 15945 net.cpp:129] Top shape: 50 1000 (50000)
I0322 11:15:13.847195 15945 net.cpp:137] Memory required for data: 5770873800
I0322 11:15:13.847198 15945 layer_factory.hpp:77] Creating layer img_l2norm
F0322 11:15:13.847214 15945 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: L2Normalize (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias, Concat, ContrastiveLoss, Convolution, Crop, Data, Deconvolution, Dropout, DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, Input, LRN, LSTM, LSTMUnit, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Parameter, Pooling, Power, Python, RNN, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile, WindowData)
*** Check failure stack trace: ***
Aborted (core dumped)

I am using official version of caffe and successfully compiled the caffe with pycaffe and anaconda. and followed your steps.But I still got the error. Is there anything I am missing?
My system is Ubuntu16.04 LTS with Nvidia Cuda8.0 Titan Xp
I appreciate if you can help me.

[derkbreeze]

https://github.com/akirafukui/caffe/tree/feature/20160617_cb_softattention
This solved my problem

[WangLanxiao]

thanks a lot

[WangLanxiao]

https://github.com/akirafukui/caffe/tree/feature/20160617_cb_softattention
This solved my problem

what did you do in order to solve this problem

[derkbreeze]

https://github.com/akirafukui/caffe/tree/feature/20160617_cb_softattention
This solved my problem

what did you do in order to solve this problem

Just git clone that repository and compile that caffe. L2 Normalization layer should be included in that caffe version