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Implementation of deformable convolution as an operation in tensorflow

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This is not an issue because the code worked fine in TF 1.2 and cudnn 5.1 In this question, I want to ask about how can I convert the mxnet...

when compiled with g++: /python3.4/site-packages/tensorflow/include/tensorflow/stream_executor/dso_loader.h:32:30: fatal error: cuda/cuda_config.h: No such file or directory compilation terminated. solved by copy a cuda_config.h file from https://insight.io/github.com/tensorflow/tensorflow/blob/master/third_party/toolchains/gpus/cuda/cuda/cuda_config.h?line

I used it in tensorflow1.4, and met the bug, tensorflow.python.framework.errors_impl.NotFoundError: /home/master/Deform/lib/deform_conv.so: undefined symbol: _ZTIN10tensorflow8OpKernelE and my g++ is 4.9.4. nvcc_compile.sh is as below: nvcc -std=c++11 -arch=sm_37 -ccbin=/usr/bin/g++-4.9 -c -o deform_conv.cu.o...

is it the correct version of deformable conv? and as for the training details, do you have some advices? for examples,learning rate?