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It should be using CUDA GPU as a default; potentially if it isn't it may be because you have a CUDA version that doesn't match to the TensorFlow version in the environment used here.
Yes unfortunately it seems like that this is the problem. A lot of projects on GitHub user TensorFlow V1 and it is really difficult to have multiple cuda versions for different projects. I have heard about docker and I will try it in the near future. Thanks for open sourcing your amazing project and replying anyways :)
Will edit the code to add the capability for it to use CUDA GPU (As I am trying to use this as a benchmark)
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