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Bump compat for GPUArraysCore to 0.2, (keep existing compat) #47

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Nov 16, 2024
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4 changes: 2 additions & 2 deletions .github/workflows/Downgrade.yml
Original file line number Diff line number Diff line change
Expand Up @@ -15,10 +15,10 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
version: ['1']
version: ['1.10', '1']
steps:
- uses: actions/checkout@v4
- uses: julia-actions/setup-julia@v1
- uses: julia-actions/setup-julia@v2
with:
version: ${{ matrix.version }}
- uses: julia-actions/julia-downgrade-compat@v1
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10 changes: 5 additions & 5 deletions Project.toml
Original file line number Diff line number Diff line change
Expand Up @@ -46,13 +46,13 @@ ArraysOfArrays = "0.5, 0.6"
CUDA = "3, 4, 5"
ChainRulesCore = "1"
CompositionsBase = "0.1"
DSP = "0.6, 0.7"
DSP = "0.6.2, 0.7"
DocStringExtensions = "0.8, 0.9"
ElasticArrays = "1"
FFTW = "1"
FillArrays = "0.13, 1"
FFTW = "1.2"
FillArrays = "0.13.8, 1"
FunctionChains = "0.1"
GPUArraysCore = "0.1"
GPUArraysCore = "0.1, 0.2"
IntervalSets = "0.7"
InverseFunctions = "0.1.3"
JLArrays = "0.1"
Expand All @@ -65,7 +65,7 @@ Requires = "1.1"
SIMD = "2,3"
Statistics = "<0.0.1, 1"
StatsBase = "0.33.7, 0.34"
StructArrays = "0.6"
StructArrays = "0.6, 0.7"
TypedTables = "1.2"
UnPack = "1"
Unitful = "1.6"
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2 changes: 1 addition & 1 deletion src/RadiationDetectorDSP.jl
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@ using ElasticArrays
using FFTW
using FillArrays
using FunctionChains
using GPUArraysCore
using IntervalSets
using KernelAbstractions
using InverseFunctions
Expand All @@ -31,6 +30,7 @@ using Unitful

import ChainRulesCore
import DSP
import GPUArraysCore
import SIMD

using Unitful: RealOrRealQuantity as RealQuantity
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2 changes: 1 addition & 1 deletion src/transpose.jl
Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ function _ka_nonlazy_transpose!(
return Y
end

function _nonlazy_transpose(X::AbstractGPUArray{<:Number,2})
function _nonlazy_transpose(X::GPUArraysCore.AbstractGPUArray{<:Number,2})
Y = similar(X, reverse(size(X)));
_ka_nonlazy_transpose!(X, Y)
end
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