DifferentiationInterface.jl/DifferentiationInterfaceTest/test/weird.jl at 02ae6b54852e438d528452f3944ea91d5e68a3c9 · JuliaDiff/DifferentiationInterface.jl · GitHub

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using Pkg
Pkg.add(["FiniteDiff", "Lux", "LuxTestUtils"])

using ADTypes
using ComponentArrays: ComponentArrays
using DifferentiationInterface
using DifferentiationInterfaceTest
import DifferentiationInterfaceTest as DIT
using FiniteDifferences: FiniteDifferences
using ForwardDiff: ForwardDiff
using Flux: Flux
using ForwardDiff: ForwardDiff
using JLArrays: JLArrays
using Lux: Lux
using LuxTestUtils: LuxTestUtils
using Random
using SparseConnectivityTracer
using SparseMatrixColorings
using StaticArrays: StaticArrays
using Zygote: Zygote

LOGGING = get(ENV, "CI", "false") == "false"

## Generate all scenarios

gpu_scenarios(;
    include_constantified=true,
    include_closurified=true,
    include_batchified=true,
    include_cachified=true,
    use_tuples=true,
)
static_scenarios(;
    include_constantified=true,
    include_closurified=true,
    include_batchified=true,
    include_cachified=true,
    use_tuples=true,
)

## Weird arrays

test_differentiation(
    AutoForwardDiff(),
    DIT.no_matrices(static_scenarios());
    benchmark=:prepared,
    logging=LOGGING,
)

test_differentiation(AutoForwardDiff(), component_scenarios(); logging=LOGGING)

test_differentiation(AutoZygote(), gpu_scenarios(); excluded=SECOND_ORDER, logging=LOGGING)

## Closures & caches

test_differentiation(
    AutoFiniteDiff(),
    default_scenarios(;
        include_normal=false,
        include_closurified=true,
        include_cachified=true,
        use_tuples=true,
    );
    excluded=SECOND_ORDER,
    logging=LOGGING,
);

test_differentiation(
    AutoFiniteDiff(),
    unknown_activity(default_scenarios);
    excluded=SECOND_ORDER,
    logging=LOGGING,
);

## Neural nets

test_differentiation(
    AutoZygote(),
    DIT.flux_scenarios(Random.MersenneTwister(0));
    isapprox=DIT.flux_isapprox,
    rtol=1e-2,
    atol=1e-4,
    scenario_intact=false,
    logging=LOGGING,
)

test_differentiation(
    AutoZygote(),
    DIT.lux_scenarios(Random.Xoshiro(63));
    isapprox=DIT.lux_isapprox,
    rtol=1.0f-2,
    atol=1.0f-3,
    scenario_intact=false,
    logging=LOGGING,
)