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Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia

stochasticlifestyle.com · published 25 December 2021

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1blogs citing

First cited: 14 Apr 2022
Most recent: 14 Apr 2022
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Links from this post: 17
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Julia

Doing small network scientific machine learning in Julia 5x faster than PyTorch Read at the source ↗

14 Apr 2022

Links from this post

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https://dev-discuss.pytorch.org/t/where-do-the-2000-pytorch-operators-come-from-more-than-you-wanted-to-know/373

dev-discuss.pytorch.org

https://gist.github.com/ChrisRackauckas/4a4d526c15cc4170ce37da837bfc32c4

gist.github.com

https://gist.github.com/ChrisRackauckas/cc6ac746e2dfd285c28e0584a2bfd320

gist.github.com

https://gist.github.com/ChrisRackauckas/6a03e7b151c86b32d74b41af54d495c6

gist.github.com

https://jax.readthedocs.io/en/latest/jaxpr.html?highlight=while

jax.readthedocs.io

https://jax.readthedocs.io/en/latest/notebooks/Common_Gotchas_in_JAX.html?highlight=while_loop

jax.readthedocs.io

https://arxiv.org/abs/1810.07951

arxiv.org

https://github.com/JuliaDiff/Diffractor.jl

github.com

https://proceedings.neurips.cc/paper/2020/file/9332c513ef44b682e9347822c2e457ac-Paper.pdf

proceedings.neurips.cc

https://discourse.julialang.org/t/open-discussion-on-the-state-of-differentiable-physics-in-julia/72900

discourse.julialang.org

https://github.com/flame/blis

github.com

https://arxiv.org/abs/1909.01377

arxiv.org

https://github.com/aviatesk/EscapeAnalysis.jl

github.com

https://twitter.com/KenoFischer/status/1407810981338796035

twitter.com

Useful Algorithms That Are Not Optimized By Jax, PyTorch, or Tensorflow Read at the source ↗

stochasticlifestyle.com

https://sciml.ai/

sciml.ai

https://aip.scitation.org/doi/10.1063/5.0060697

aip.scitation.org