Comments (8)
guptaanil2k1
commented on June 15, 2024
40
I resolved it by uncommenting WITH_PYTHON_LAYER := 1 and making clean build. It seems I have build the caffe without this flag and when I changed this flag did make again nothing got rebuild.
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guptaanil2k1
commented on June 15, 2024
I am also getting the same issue... were you able to resolve this?
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xksteven
commented on June 15, 2024
Thanks for the tip! I was using an old caffe makefile as opposed to the .config.example provided.
I'm confused about your error. You mention you resolved the issue but then you say that nothing gets made when running make?
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guptaanil2k1
commented on June 15, 2024
changing this flag WITH_PYTHON_LAYER := 1 in Makefile.config and doing make does not do anything.. I had to do clean and build
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guptaanil2k1
commented on June 15, 2024
can you try clean build / removing build directory and building again
after WITH_PYTHON_LAYER
:= 1
Regards
Anil
…On Mon, Feb 20, 2017 at 11:10 AM, ran5515 ***@***.***> wrote:
Hello, I tried "WITH_PYTHON_LAYER := 1" but the error still exists.
I am using Mac Sierra.
Can anyone help me with it?
"I0220 11:06:37.499789 3922367424 layer_factory.hpp:77] Creating layer
proposal
F0220 11:06:37.499804 3922367424 layer_factory.hpp:81] Check failed:
registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python (known
types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias,
Concat, ContrastiveLoss, Convolution, Data, Deconvolution, Dropout,
DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten,
HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss,
InnerProduct, LRN, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU,
Pooling, Power, ROIPooling, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid,
SigmoidCrossEntropyLoss, Silence, Slice, SmoothL1Loss, Softmax,
SoftmaxWithLoss, Split, TanH, Threshold, Tile, WindowData)
*** Check failure stack trace: ***
"
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zhangjianagry
commented on June 15, 2024
but what should i do to remove the build?
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guptaanil2k1
commented on June 15, 2024
you can do make clean or delete the build folder manually.
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sulth
commented on June 15, 2024
The faster RCNN was working when tried demo.py and got boundingbox detected.But while creating a model,syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory
** Check failure stack trace: **
Please help me
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