Don't use closure for enzyme #1048
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## main #1048 +/- ##
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Pull Request Test Coverage Report for Build 17981527989Warning: This coverage report may be inaccurate.This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.
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@wsmoses Is there a particular motivation for avoiding closures? I benchmarked Enzyme on the demo models before / after this PR and I don't think there's a significant difference. Benchmarking code: using DynamicPPL, Distributions, Enzyme, ADTypes, DataFrames, CSV
using DynamicPPL.TestUtils.AD: run_ad, ADResult, NoTest
# For this PR I removed `function_annotation`
ADTYPES = Dict(
"EnzymeForward" => AutoEnzyme(; mode=set_runtime_activity(Forward, true), function_annotation=Const),
"EnzymeReverse" => AutoEnzyme(; mode=set_runtime_activity(Reverse, true), function_annotation=Const),
)
MODELS = DynamicPPL.TestUtils.DEMO_MODELS
RESULTS = []
for model in MODELS
for (adtype_name, adtype) in ADTYPES
result = run_ad(model, adtype; test=NoTest(), benchmark=true)
time_vs_primal = result.grad_time / result.primal_time
push!(RESULTS, (model="$(model.f)", adtype=adtype_name, time=time_vs_primal))
end
end
RESULT_DF = DataFrame(RESULTS)
CSV.write("results.csv", RESULT_DF) |
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It makes it more natively compatible (eg no need for function annotation), which comes with plenty of benefits including a partial prereq for reactant compatibility |
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Okay, I'll bump a patch and release! |
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