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Improve JAX benchmark #72

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frostedoyster
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github-actions bot commented Oct 21, 2023

Here is a pre-built version of the code in this pull request: wheels.zip, you can install it locally by unzipping wheels.zip and using pip to install the file matching your system

@ceriottm
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Looks good - but I get some strange timings on e3nn with small lmax and I wonder if there's something fishy. with

python benchmark.py -l 5 -s 100 -t 1000 --warmup 5 --verbose --compare

I get lower time computing gradients rather than direct...

 E3NN no der (jit):         712.8 ns/sample ±       58.8 (std)
 E3NN grad (jit):          477.2 ns/sample ±       62.5 (std)

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