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I'm also surprised that XLA.jl doesn't seem to have had continued development: https://github.com/FluxML/XLA.jl https://github.com/FluxML/XLA.jl When in doubt,
by fault1 5y ago
I'm also surprised that XLA.jl doesn't seem to have had continued development:
https://github.com/FluxML/XLA.jl https://github.com/FluxML/XLA.jl
When in doubt, piggybacking on (or at least interoperating with) what the large technology companies are investing in is probably savvy, sort of what the OP did.
- adgjlsfhk1 5y agoXLA.jl was kind of a solution looking for a problem. If you want fast code in Julia, you can just write Julia.
- PhilipVinc 5y agoThat's incorrect. If you work with mid-sized neural networks and MCMC sampling, allocations start to play a significant role (And Flux.jl is bad at preallocation). Prealloc.jl does not work properly. Zygote.jl adds even more allocations to the mix... Jax/XLA completely solves this problem. Yes, it's annoying that you have to work with a static graph but if your problem fits the description... it's great.
- dklend122 5y agoThere's work being done to solve this in Julia. See escapeanalysis.jl and the immutable array pr in base