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verified publisher icon cjweeks

Unable to use GPU even though built with cuda option. Any new packages need to be added to BUILD file for tensorflow 1.13 version

Open deeptf opened this issue 6 years ago • 0 comments

@cjweeks : This is a great repository. I am still not sure why building tensorflow as a standalone package is super difficult even today. Your repo is of great help. However I have had two issues:

  1. When I follow your steps and build tensorflow with CUDA options enabled and also --config=monolithic. The inference code in C++ is still not using GPUs. I am unable to list GPU devices also using C++ API.

  2. In versions (master and tf=1.13) there is a problem even for CPU. There are dependencies to external packages (one example: https://github.com/abseil/abseil-cpp). Without these being build, the libtensorflow_all.so complains missing header files. Can you please update any change you think is needed in this regard?

Thanks!

deeptf avatar Jul 31 '19 22:07 deeptf