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rm CUDA & GPU test #457

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Jan 11, 2025
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rm CUDA & GPU test #457

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8 changes: 0 additions & 8 deletions test/Project.toml
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Original file line number Diff line number Diff line change
@@ -1,46 +1,38 @@
[deps]
ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
ComputationalResources = "ed09eef8-17a6-5b46-8889-db040fac31e3"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DifferentiationInterface = "a0c0ee7d-e4b9-4e03-894e-1c5f64a51d63"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
LuxCUDA = "d0bbae9a-e099-4d5b-a835-1c6931763bda"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
TerminalLoggers = "5d786b92-1e48-4d6f-9151-6b4477ca9bed"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"

[compat]
ADTypes = "1"
Aqua = "0.8"
CUDA = "5"
ComponentArrays = "0.15"
ComputationalResources = "0.3"
DataFrames = "1"
DifferentiationInterface = "0.6"
Distances = "0.10"
Distributions = "0.25"
Enzyme = "0.13"
GPUArraysCore = "0.1, 0.2"
JET = "0.9"
Lux = "1"
LuxCUDA = "0.3"
MLJBase = "1"
SciMLBase = "2"
StableRNGs = "1"
TerminalLoggers = "0.1"
Zygote = "0.6, 0.7"
cuDNN = "1"
julia = "1.10"
3 changes: 0 additions & 3 deletions test/call_tests.jl
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Expand Up @@ -62,9 +62,6 @@ Test.@testset "Call Tests" begin
]
data_types = Type{<:AbstractFloat}[Float32]
resources = ComputationalResources.AbstractResource[ComputationalResources.CPU1()]
if CUDA.has_cuda_gpu() && USE_GPU
push!(resources, ComputationalResources.CUDALibs())
end

Test.@testset "$resource | $data_type | $compute_mode | inplace = $inplace | aug & steer = $aug_steer | nvars = $nvars | $omode | $mt" for resource in
resources,
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3 changes: 0 additions & 3 deletions test/fit_tests.jl
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Expand Up @@ -59,9 +59,6 @@ Test.@testset "Fit Tests" begin
]
data_types = Type{<:AbstractFloat}[Float32]
resources = ComputationalResources.AbstractResource[ComputationalResources.CPU1()]
if CUDA.has_cuda_gpu() && USE_GPU
push!(resources, ComputationalResources.CUDALibs())
end

Test.@testset "$resource | $data_type | $compute_mode | $adtype | inplace = $inplace | aug & steer = $aug_steer | nvars = $nvars | $mt" for resource in
resources,
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9 changes: 1 addition & 8 deletions test/runtests.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -2,18 +2,14 @@ import ADTypes,
Aqua,
ComponentArrays,
ComputationalResources,
CUDA,
cuDNN,
DataFrames,
DifferentiationInterface,
Distances,
Distributions,
Enzyme,
GPUArraysCore,
JET,
Logging,
Lux,
LuxCUDA,
MLJBase,
SciMLBase,
StableRNGs,
Expand All @@ -23,7 +19,6 @@ import ADTypes,
ContinuousNormalizingFlows

GROUP = get(ENV, "GROUP", "All")
USE_GPU = get(ENV, "USE_GPU", "Yes") == "Yes"

if (GROUP == "All")
GC.enable_logging(true)
Expand All @@ -35,9 +30,7 @@ end
Test.@testset "Overall" begin
if GROUP == "All" ||
GROUP in ["RNODE", "FFJORD", "Planar", "CondRNODE", "CondFFJORD", "CondPlanar"]
GPUArraysCore.allowscalar() do
include("smoke_tests.jl")
end
include("smoke_tests.jl")
end

if GROUP == "All" || GROUP == "Quality"
Expand Down
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