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At some point you stop caring about being able to import a set of imagnet pretrained weights and start caring about extreme flexibility. Think about implement ting, say "Scene Representation Networks" https://arxiv.org/abs/1906.01618 in each of the three frameworks. Tf is a pig, pytorch is slow, and Jax is going to crush the problem.

The lack of say, keras.applications is a shame, but it won't last, and if you have a GPU or 8 the power of optimized (p/v)map definitely makes up for it.




I mean, the authors implemented it in pytorch: https://github.com/vsitzmann/scene-representation-networks

Do you have any particular evidence that PyTorch is slow here?




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