always run into problem running examples

[sperfu]

hi,I used your caffe model to run the highway network example mnnist classification

train_mnist.sh

but I ran into such problem : I0707 22:55:59.848199 91625 layer_factory.hpp:74] Creating layer mnist I0707 22:55:59.848260 91625 net.cpp:87] Creating Layer mnist I0707 22:55:59.848281 91625 net.cpp:345] mnist -> data I0707 22:55:59.848331 91625 net.cpp:345] mnist -> label I0707 22:55:59.848356 91625 net.cpp:116] Setting up mnist I0707 22:55:59.848512 91625 db.cpp:34] Opened lmdb /home/penglab/highway-networks/examples/highways/mnist-10layers/mnist_train_lmdb I0707 22:55:59.848590 91625 data_layer.cpp:67] output data size: 100,1,28,28 I0707 22:55:59.848933 91625 net.cpp:123] Top shape: 100 1 28 28 (78400) I0707 22:55:59.848994 91625 net.cpp:123] Top shape: 100 (100) I0707 22:55:59.849011 91625 net.cpp:154] With 0 trainable parameters I0707 22:55:59.849025 91625 layer_factory.hpp:74] Creating layer drop1 I0707 22:55:59.849047 91625 net.cpp:87] Creating Layer drop1 I0707 22:55:59.849063 91625 net.cpp:387] drop1 <- data I0707 22:55:59.849090 91625 net.cpp:345] drop1 -> drop1 I0707 22:55:59.849112 91625 net.cpp:116] Setting up drop1 I0707 22:55:59.849140 91625 net.cpp:123] Top shape: 100 1 28 28 (78400) I0707 22:55:59.849151 91625 net.cpp:154] With 0 trainable parameters I0707 22:55:59.849161 91625 layer_factory.hpp:74] Creating layer s1-conv1 I0707 22:55:59.849189 91625 net.cpp:87] Creating Layer s1-conv1 I0707 22:55:59.849202 91625 net.cpp:387] s1-conv1 <- drop1 I0707 22:55:59.849217 91625 net.cpp:345] s1-conv1 -> s1-conv1 I0707 22:55:59.849237 91625 net.cpp:116] Setting up s1-conv1 I0707 22:55:59.849376 91625 net.cpp:123] Top shape: 100 32 24 24 (1843200) I0707 22:55:59.849405 91625 net.cpp:154] With 832 trainable parameters I0707 22:55:59.849416 91625 layer_factory.hpp:74] Creating layer relu I0707 22:55:59.849433 91625 net.cpp:87] Creating Layer relu I0707 22:55:59.849445 91625 net.cpp:387] relu <- s1-conv1 I0707 22:55:59.849457 91625 net.cpp:334] relu -> s1-conv1 (in-place) I0707 22:55:59.849472 91625 net.cpp:116] Setting up relu I0707 22:55:59.849484 91625 net.cpp:123] Top shape: 100 32 24 24 (1843200) I0707 22:55:59.849494 91625 net.cpp:154] With 0 trainable parameters I0707 22:55:59.849503 91625 layer_factory.hpp:74] Creating layer s1-conv2 F0707 22:55:59.849546 91625 layer_factory.hpp:77] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: CuDNNHighway (known types: AbsVal, Accuracy, ArgMax, BNLL, Concat, ContrastiveLoss, Convolution, Data, Deconvolution, Dropout, DummyData, Eltwise, EuclideanLoss, Exp, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, LRN, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Pooling, Power, ReLU, Reshape, SPP, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, WindowData) *** Check failure stack trace: *** @ 0x7f684da36daa (unknown) @ 0x7f684da36ce4 (unknown) @ 0x7f684da366e6 (unknown) @ 0x7f684da39687 (unknown) @ 0x7f684de21af5 caffe::LayerRegistry<>::CreateLayer() @ 0x7f684de26c39 caffe::Net<>::Init() @ 0x7f684de28ab2 caffe::Net<>::Net() @ 0x7f684de34cc0 caffe::Solver<>::InitTrainNet() @ 0x7f684de35dc3 caffe::Solver<>::Init() @ 0x7f684de35f96 caffe::Solver<>::Solver() @ 0x40c608 caffe::GetSolver<>() @ 0x406463 train() @ 0x404991 main @ 0x7f684cf47ec5 (unknown) @ 0x404f3d (unknown) @ (nil) (unknown) ./examples/highways/mnist-10layers/train_mnist.sh: 行 5:

I successfully buit the caffe and pycaffe...but still ran into such a problem... please give me some solution....thanks