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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,3 +1,28 @@ | ||
| using ReTestItems | ||
| using ReTestItems, Pkg, InteractiveUtils, Hwloc | ||
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| ReTestItems.runtests(@__DIR__) | ||
| @info sprint(versioninfo) | ||
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| const BACKEND_GROUP = lowercase(get(ENV, "BACKEND_GROUP", "all")) | ||
| const EXTRA_PKGS = String[] | ||
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| (BACKEND_GROUP == "all" || BACKEND_GROUP == "cuda") && push!(EXTRA_PKGS, "LuxCUDA") | ||
| (BACKEND_GROUP == "all" || BACKEND_GROUP == "amdgpu") && push!(EXTRA_PKGS, "AMDGPU") | ||
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| if !isempty(EXTRA_PKGS) | ||
| @info "Installing Extra Packages for testing" EXTRA_PKGS=EXTRA_PKGS | ||
| Pkg.add(EXTRA_PKGS) | ||
| Pkg.update() | ||
| Base.retry_load_extensions() | ||
| Pkg.instantiate() | ||
| end | ||
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| using DeepEquilibriumNetworks | ||
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| const RETESTITEMS_NWORKERS = parse( | ||
| Int, get(ENV, "RETESTITEMS_NWORKERS", string(min(Hwloc.num_physical_cores(), 16)))) | ||
| const RETESTITEMS_NWORKER_THREADS = parse(Int, | ||
| get(ENV, "RETESTITEMS_NWORKER_THREADS", | ||
| string(max(Hwloc.num_virtual_cores() ÷ RETESTITEMS_NWORKERS, 1)))) | ||
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| ReTestItems.runtests(DeepEquilibriumNetworks; nworkers=RETESTITEMS_NWORKERS, | ||
| nworker_threads=RETESTITEMS_NWORKER_THREADS, testitem_timeout=12000) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,55 +1,56 @@ | ||
| @testsetup module SharedTestSetup | ||
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| using DeepEquilibriumNetworks, Functors, Lux, Random, StableRNGs, Zygote, ForwardDiff | ||
| import LuxTestUtils: @jet | ||
| using LuxCUDA | ||
| using LuxTestUtils | ||
| using MLDataDevices, GPUArraysCore | ||
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| CUDA.allowscalar(false) | ||
| LuxTestUtils.jet_target_modules!(["Boltz", "Lux", "LuxLib"]) | ||
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| __nameof(::X) where {X} = nameof(X) | ||
| const BACKEND_GROUP = lowercase(get(ENV, "BACKEND_GROUP", "all")) | ||
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| __get_prng(seed::Int) = StableRNG(seed) | ||
| if BACKEND_GROUP == "all" || BACKEND_GROUP == "cuda" | ||
| using LuxCUDA | ||
| end | ||
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| if BACKEND_GROUP == "all" || BACKEND_GROUP == "amdgpu" | ||
| using AMDGPU | ||
| end | ||
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| __is_finite_gradient(x::AbstractArray) = all(isfinite, x) | ||
| GPUArraysCore.allowscalar(false) | ||
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| cpu_testing() = BACKEND_GROUP == "all" || BACKEND_GROUP == "cpu" | ||
| function cuda_testing() | ||
| return (BACKEND_GROUP == "all" || BACKEND_GROUP == "cuda") && | ||
| MLDataDevices.functional(CUDADevice) | ||
| end | ||
| function amdgpu_testing() | ||
| return (BACKEND_GROUP == "all" || BACKEND_GROUP == "amdgpu") && | ||
| MLDataDevices.functional(AMDGPUDevice) | ||
| end | ||
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| function __is_finite_gradient(gs::NamedTuple) | ||
| gradient_is_finite = Ref(true) | ||
| function __is_gradient_finite(x) | ||
| !isnothing(x) && !all(isfinite, x) && (gradient_is_finite[] = false) | ||
| return x | ||
| end | ||
| fmap(__is_gradient_finite, gs) | ||
| return gradient_is_finite[] | ||
| const MODES = begin | ||
| modes = [] | ||
| cpu_testing() && push!(modes, ("cpu", Array, CPUDevice(), false)) | ||
| cuda_testing() && push!(modes, ("cuda", CuArray, CUDADevice(), true)) | ||
| amdgpu_testing() && push!(modes, ("amdgpu", ROCArray, AMDGPUDevice(), true)) | ||
| modes | ||
| end | ||
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| function __get_dense_layer(args...; kwargs...) | ||
| is_finite_gradient(x::AbstractArray) = all(isfinite, x) | ||
| is_finite_gradient(::Nothing) = true | ||
| is_finite_gradient(gs) = all(is_finite_gradient, fleaves(gs)) | ||
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| function dense_layer(args...; kwargs...) | ||
| init_weight(rng::AbstractRNG, dims...) = randn(rng, Float32, dims) .* 0.001f0 | ||
| return Dense(args...; init_weight, use_bias=false, kwargs...) | ||
| end | ||
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| function __get_conv_layer(args...; kwargs...) | ||
| function conv_layer(args...; kwargs...) | ||
| init_weight(rng::AbstractRNG, dims...) = randn(rng, Float32, dims) .* 0.001f0 | ||
| return Conv(args...; init_weight, use_bias=false, kwargs...) | ||
| end | ||
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| const GROUP = get(ENV, "GROUP", "All") | ||
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| cpu_testing() = GROUP == "All" || GROUP == "CPU" | ||
| cuda_testing() = LuxCUDA.functional() && (GROUP == "All" || GROUP == "CUDA") | ||
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| const MODES = begin | ||
| cpu_mode = ("CPU", Array, LuxCPUDevice(), false) | ||
| cuda_mode = ("CUDA", CuArray, LuxCUDADevice(), true) | ||
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| modes = [] | ||
| cpu_testing() && push!(modes, cpu_mode) | ||
| cuda_testing() && push!(modes, cuda_mode) | ||
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| modes | ||
| end | ||
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| export Lux, LuxCore, LuxLib | ||
| export MODES, __get_dense_layer, __get_conv_layer, __is_finite_gradient, __get_prng, | ||
| __nameof, @jet | ||
| export MODES, dense_layer, conv_layer, is_finite_gradient, StableRNG, @jet, test_gradients | ||
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| end |