#Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python

[wxde]

when I python main.py , the error is below:
Creating layer loss
F0419 21:23:01.980463 3190 layer_factory.hpp:77] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python (known types: AbsVal, Accuracy, ArgMax, BNLL, Concat, ContrastiveLoss, Convolution, Data, Deconvolution, Dropout, DummyData, Eltwise, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, LRN, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Pooling, Power, ReLU, Reduction, Reshape, SPP, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, WindowData)
*** Check failure stack trace: ***
Aborted (core dumped)

How can I do for it . and what version of your cudnn? thank you

[faustomilletari]

Hello, I think you should use 3d caffe which is available in another repository on my github. Latest cudnn should work. Fausto Milletarì Sent from my iPhone

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On 19. Apr 2017, at 09:35, wxde ***@***.***> wrote: when I python main.py , the error is below: Creating layer loss F0419 21:23:01.980463 3190 layer_factory.hpp:77] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python (known types: AbsVal, Accuracy, ArgMax, BNLL, Concat, ContrastiveLoss, Convolution, Data, Deconvolution, Dropout, DummyData, Eltwise, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, LRN, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Pooling, Power, ReLU, Reduction, Reshape, SPP, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, WindowData) *** Check failure stack trace: *** Aborted (core dumped) How can I do for it . and what version of your cudnn? thank you — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or mute the thread.

[wxde]

hi fausto
I am using your 3D-caffe.and my version of cudnn is 5.1

[faustomilletari]

It sounds a bit weird because caffe is complaining that he does not know what a python layer is. But python layers are supported in caffe since long time! And also supported in 3d caffe. Be sure by checking your pythonpath environment variable that you are using actually the caffe you have compiled from 3d caffe sources. Fausto Milletarì Sent from my iPhone

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On 19. Apr 2017, at 09:47, wxde ***@***.***> wrote: hi fausto I am using your 3D-caffe.and my version of cudnn is 5.1 — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

[wxde]

I have check my pythonpath environment variable. it is corrected .

[faustomilletari]

when you compiled caffe you did also make pycaffe and then make install, right?

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On 19 Apr 2017, at 10:44, wxde ***@***.***> wrote: I have check my pythonpath environment variable. it is correct . — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#31 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AMtsvpIbOTLP7oXr7Nwa8buZJ9kEFUqTks5rxh26gaJpZM4NBsMl>.

[l35633]

hi, friend! I met the same problem with the correct 3D caffe version and path? how to resolve it? any good ideas? Thank you very much!

[l35633]

It is said in google that changing this flag WITH_PYTHON_LAYER := 1 in Makefile.config
right? Thanks a lot! I am trying now
make clean
make all

[l35633]

It is really this problem, after changed it. It runs so beautifully!

[angyee]

Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Relu (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