stuck on a weird Deep Learning edge case
i keep hitting this in Deep Learning and the docs skip the failure path. is the miss supposed to throw or just return null?
about 1 month ago

Neural nets, training loops, and research practice.
i keep hitting this in Deep Learning and the docs skip the failure path. is the miss supposed to throw or just return null?
currently benchmarking a medium scale transformer training loop. pytorch is hitting a wall with compile overhead on complex custom kernels. seeing some people claim jax is faster, but worried the migration cost outweighs the gain. anyone actually ship this in prod recently?
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