Comments (4)
I re-make my caffe project:
make clean
make all -j8
make test -j8
make runtest -j8
make distribute
make pycaffe
make matcaffe
The above issue is solved, but a new issue arising:
I0505 20:59:33.863049 6492 layer_factory.hpp:77] Creating layer data
F0505 20:59:33.863072 6492 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: ImageLabelmapData (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, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Pooling, Power, Python, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile, WindowData)
*** Check failure stack trace: ***
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If I run the file solve.py
(after download the data and caffemodels), some errors occur as follow:
E0505 16:49:01.775686 21977 common.cpp:113] Cannot create Cublas handle. Cublas won't be available.
E0505 16:49:01.779266 21977 common.cpp:120] Cannot create Curand generator. Curand won't be available.
F0505 16:49:01.782297 21977 common.cpp:151] Check failed: error == cudaSuccess (30 vs. 0) unknown error
Do you know why?
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The author of this project seem have defined their own layers for ImageLabelmapData (see layers folder in the source code). It should be there. I don't see the problem in my build.
And, the authors seems not monitoring this project any more. Need to decide if you should invest time on it!
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To fix there issues, I change the version of my cudnn from v4 into v3. Now, the project works well.
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Related Issues (20)
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