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remove explicit dependence on GPUArraysCore #577

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remove explicit dependence on GPUArraysCore #577

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4100afe
upgrade compat for GPUArrayCore
axsk Jan 11, 2025
5318960
Update Project.toml
axsk Jan 11, 2025
8700b0b
Update Project.toml
axsk Jan 11, 2025
dc00e14
Update Project.toml
axsk Jan 11, 2025
6b0f36c
Update Project.toml
axsk Jan 11, 2025
51395eb
Update Project.toml
axsk Jan 11, 2025
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4 changes: 0 additions & 4 deletions GNNGraphs/test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@ CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
GNNGraphs = "aed8fd31-079b-4b5a-b342-a13352159b8c"
GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLDataDevices = "7e8f7934-dd98-4c1a-8fe8-92b47a384d40"
Expand All @@ -21,6 +20,3 @@ TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
TestItems = "1c621080-faea-4a02-84b6-bbd5e436b8fe"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"

[compat]
GPUArraysCore = "0.1"
5 changes: 0 additions & 5 deletions GNNlib/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -22,17 +22,12 @@ CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
GNNlibAMDGPUExt = "AMDGPU"
GNNlibCUDAExt = "CUDA"

# GPUArraysCore is not needed as a direct dependency
# but pinning it to 0.1 avoids problems when we do Pkg.add("CUDA") in testing
# See https://github.com/JuliaGPU/CUDA.jl/issues/2564

[compat]
AMDGPU = "1"
CUDA = "5"
ChainRulesCore = "1.24"
DataStructures = "0.18"
GNNGraphs = "1.4"
GPUArraysCore = "0.1"
LinearAlgebra = "1"
MLUtils = "0.4"
NNlib = "0.9"
Expand Down
4 changes: 0 additions & 4 deletions GNNlib/test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@ Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
GNNGraphs = "aed8fd31-079b-4b5a-b342-a13352159b8c"
GNNlib = "a6a84749-d869-43f8-aacc-be26a1996e48"
GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
MLDataDevices = "7e8f7934-dd98-4c1a-8fe8-92b47a384d40"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
Expand All @@ -17,6 +16,3 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
GPUArraysCore = "0.1"
4 changes: 0 additions & 4 deletions GraphNeuralNetworks/test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,6 @@ Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
GNNGraphs = "aed8fd31-079b-4b5a-b342-a13352159b8c"
GNNlib = "a6a84749-d869-43f8-aacc-be26a1996e48"
GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
GraphNeuralNetworks = "cffab07f-9bc2-4db1-8861-388f63bf7694"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
Expand All @@ -16,6 +15,3 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
GPUArraysCore = "0.1"
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