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Use repeatable seeds for the GPU tests #591

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3 changes: 3 additions & 0 deletions test/amd/factorizations.jl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
using Adapt, AMDGPU
using Test, TestExtras
using Random
using TensorKit
using LinearAlgebra: LinearAlgebra
using MatrixAlgebraKit: DefaultAlgorithm, Jacobi, PolarViaSVD, QRIteration, diagview
Expand All @@ -9,6 +10,8 @@ const ROCTensorMap = getglobal(AMDGPUExt, :ROCTensorMap)

using AMDGPU.rocBLAS

Random.seed!(123456)

spacelist = factorization_spacelist(fast_tests)
eltypes = (Float64, ComplexF64)

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3 changes: 3 additions & 0 deletions test/amd/planar.jl
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
using Test, TestExtras
using Adapt
using TensorOperations, AMDGPU
using Random
using TensorKit
using TensorKit: type_repr
using TensorKit: PlanarTrivial, ℙ
Expand All @@ -10,6 +11,8 @@ const AMDGPUExt = Base.get_extension(TensorKit, :TensorKitAMDGPUExt)
@assert !isnothing(AMDGPUExt)
const ROCTensorMap = getglobal(AMDGPUExt, :ROCTensorMap)

Random.seed!(123456)

spacelist = default_spacelist(fast_tests)

for V in spacelist
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3 changes: 3 additions & 0 deletions test/amd/tensors.jl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
using Adapt, AMDGPU
using Test, TestExtras
using Random
using TensorKit, Combinatorics
ad = adapt(Array)
const AMDGPUExt = Base.get_extension(TensorKit, :TensorKitAMDGPUExt)
Expand All @@ -10,6 +11,8 @@ const rocrandn = getglobal(AMDGPUExt, :rocrandn)
const rocrand! = getglobal(AMDGPUExt, :rocrand!)
using AMDGPU: rand as rocrand, rand! as rocrand!, randn as rocrandn, randn! as rocrandn!

Random.seed!(123456)

spacelist = default_spacelist(fast_tests)

for V in spacelist
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3 changes: 3 additions & 0 deletions test/cuda/factorizations.jl
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Expand Up @@ -2,13 +2,16 @@ using Adapt, CUDA, CUDA.cuRAND, cuTENSOR
using Test, TestExtras
using TensorKit
using LinearAlgebra: LinearAlgebra
using Random
using MatrixAlgebraKit: DefaultAlgorithm, Jacobi, diagview
const CUDAExt = Base.get_extension(TensorKit, :TensorKitCUDAExt)
@assert !isnothing(CUDAExt) "Failed to load TensorKit - CUDA extension"
const CuTensorMap = getglobal(CUDAExt, :CuTensorMap)

using CUDA.CUBLAS

Random.seed!(123456)

spacelist = factorization_spacelist(fast_tests)
eltypes = (Float32, ComplexF64)

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1 change: 1 addition & 0 deletions test/cuda/mooncake.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ using Mooncake
using Random
using CUDA, cuTENSOR, Adapt

Random.seed!(123456)
rng = Random.default_rng()

spacelist = ad_spacelist(fast_tests)
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3 changes: 3 additions & 0 deletions test/cuda/planar.jl
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
using Test, TestExtras
using Adapt
using TensorOperations, CUDA, cuTENSOR
using Random
using TensorKit
using TensorKit: type_repr
using TensorKit: PlanarTrivial, ℙ
Expand All @@ -10,6 +11,8 @@ const CUDAExt = Base.get_extension(TensorKit, :TensorKitCUDAExt)
@assert !isnothing(CUDAExt)
const CuTensorMap = getglobal(CUDAExt, :CuTensorMap)

Random.seed!(123456)

spacelist = default_spacelist(fast_tests)

for V in spacelist
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3 changes: 3 additions & 0 deletions test/cuda/tensors.jl
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Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
using Adapt, CUDA, CUDA.cuRAND, cuTENSOR
using Test, TestExtras
using Random
using TensorKit, Combinatorics
ad = adapt(Array)
const CUDAExt = Base.get_extension(TensorKit, :TensorKitCUDAExt)
@assert !isnothing(CUDAExt)
const CuTensorMap = getglobal(CUDAExt, :CuTensorMap)

Random.seed!(123456)

spacelist = default_spacelist(fast_tests)

for V in spacelist
Expand Down
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