connor323 / convolution-with-sparse-kernel-in-tf Goto Github PK
View Code? Open in Web Editor NEWDevelopment a customized op in TensorFlow for convolution with sparse kernel
License: MIT License
Development a customized op in TensorFlow for convolution with sparse kernel
License: MIT License
I have searched a lot, but failed to generate the similar style picture as shown in readme using matplotlib. It will be very nice of you sharing you code for drawing these awesome pictures.
I built this custom op within a docker container of tensorflow/tensorflow:1.11.0-devel-gpu-py3 and tensorflow/tensorflow:1.4.0-devel-gpu-py3 as instructed in README but without success :(
does this work with sparse input as well?
thank you very much!
Dear Sir or Madam,
I have tried to compile the package and use it for TF2, but I failed. One of the reasons is that the header "cuda_kernel_helper.h" was not found. This header was already renamed in TF 1.14 as far as I know.
I have to admit that I'm not familiar with CUDA coding at all.
Is there a way to adapt the sparse convolution kernel such that we can use it in TF2? I think this would be very valuable. If not, do you know of any other way to execute a sparse convolution in TF2?
Best regards,
Paul Seibert
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