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Imo the biggest issue (from memory) was that Tensorflow used a static computation graph. PyTorch was so much easier to work with.


I honestly think the static graph was much better in the similar way Vulkan/DX12 are better than OpenGL/DX9. It is harder to program, but gives more explicit control of important things. E.g. who would use PyTorch if they new that for optimal performance they'd need to record CUDA graphs?


Yup that was also definitely one among the many issues




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