Understanding the need for Torch.jl?

So in theory Julia can solve the two language problem but in practice, there are well optimized tools like openblas and torch that is highly optimized, so we simplyuse them as they r faster.

Flux.jl seemed so promising a couple of years ago but has definitely lost its lustre (my friend who had been using Julia moved to Pytorch) . I tried Knet.jl but i found it impossible to comprehend even for simple cases.

I thought Julia would be great for NN but turns out that is not true as of today. I tried some NN in Julia and Pytorch and the pytorch version was faster. CPU and GPU. So i am moving to Pytorch too.

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