SuiteSparse_GPU_jll build 7.5.0+0

Author: jlbuild

.pkg/platform_augmentation.jl

@@ -7,22 +7,32 @@ catch
     # in that case, we just won't select an artifact.
 end
 
-function cuda_comparison_strategy(a::String, b::String, a_requested::Bool, b_requested::Bool)
-    if a == "none" || b == "none"
-        return a == b
+# can't use Preferences for the same reason
+const CUDA_Runtime_jll_uuid = Base.UUID("76a88914-d11a-5bdc-97e0-2f5a05c973a2")
+const preferences = Base.get_preferences(CUDA_Runtime_jll_uuid)
+Base.record_compiletime_preference(CUDA_Runtime_jll_uuid, "version")
+Base.record_compiletime_preference(CUDA_Runtime_jll_uuid, "local")
+const local_toolkit = something(tryparse(Bool, get(preferences, "local", "false")), false)
+
+function cuda_comparison_strategy(_a::String, _b::String, a_requested::Bool, b_requested::Bool)
+    # if we're using a local toolkit, we can't use artifacts
+    if local_toolkit
+        return false
     end
-    if a == "local" || b == "local"
-        return a == b
+
+    # if either isn't a version number (e.g. "none"), perform a simple equality check
+    a = tryparse(VersionNumber, _a)
+    b = tryparse(VersionNumber, _b)
+    if a === nothing || b === nothing
+        return _a == _b
     end
-    a = VersionNumber(a)
-    b = VersionNumber(b)
 
-    # If both b and a requested, then we fall back to equality:
+    # if both b and a requested, then we fall back to equality
     if a_requested && b_requested
         return Base.thisminor(a) == Base.thisminor(b)
     end
 
-    # Otherwise, do the comparison between the the single version cap and the single version:
+    # otherwise, do the comparison between the the single version cap and the single version:
     function is_compatible(artifact::VersionNumber, host::VersionNumber)
         if host >= v"11.0"
             # enhanced compatibility, semver-style
@@ -49,5 +59,9 @@ function augment_platform!(platform::Platform)
         CUDA_Runtime_jll.augment_platform!(platform)
     end
     BinaryPlatforms.set_compare_strategy!(platform, "cuda", cuda_comparison_strategy)
+
+    # store the fact that we're using a local CUDA toolkit, for debugging purposes
+    platform["cuda_local"] = string(local_toolkit)
+
     return platform
 end

Artifacts.toml

@@ -1,33 +1,99 @@
 [[SuiteSparse_GPU]]
 arch = "x86_64"
-cuda = "10.2"
-git-tree-sha1 = "11aff9edd8f2eb871b659f807f48a800d07f08ca"
+cuda = "11.4"
+git-tree-sha1 = "89e3aa44981eec95d81000e8f78f8e6a2adf2def"
 lazy = true
 libc = "glibc"
 os = "linux"
 
     [[SuiteSparse_GPU.download]]
-    sha256 = "b9310adf841ade7bae78a82bdd17c726ec472e30b6c75b28277d31a6675215e5"
-    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v5.10.1+2/SuiteSparse_GPU.v5.10.1.x86_64-linux-gnu-cuda+10.2.tar.gz"
+    sha256 = "4b92ad571287f5ac30b206699433b400c2b904226a7401eabce285251bf67d19"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+11.4.tar.gz"
 [[SuiteSparse_GPU]]
 arch = "x86_64"
-cuda = "11.0"
-git-tree-sha1 = "fa2b2e20beac1aa5d47d7eafd776462887c20651"
+cuda = "11.5"
+git-tree-sha1 = "332793132889f008e3f14f9ebc85a51a950b64a5"
 lazy = true
 libc = "glibc"
 os = "linux"
 
     [[SuiteSparse_GPU.download]]
-    sha256 = "a11683230e20903b72df2aaf870357ba215d3a97e150641b786cf3f44672e5b1"
-    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v5.10.1+2/SuiteSparse_GPU.v5.10.1.x86_64-linux-gnu-cuda+11.0.tar.gz"
+    sha256 = "86700f70a09a08c79d0ae99574aa314438d8456a70b9e49b89e80442aaa7784f"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+11.5.tar.gz"
+[[SuiteSparse_GPU]]
+arch = "x86_64"
+cuda = "11.6"
+git-tree-sha1 = "a48d9f53a0eea49b75c7ef323a58ee4a60d3cef6"
+lazy = true
+libc = "glibc"
+os = "linux"
+
+    [[SuiteSparse_GPU.download]]
+    sha256 = "182e7b59591cd72b74aaee0ad18fca6887be763b7e87f3e3984edb1a3be96c68"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+11.6.tar.gz"
+[[SuiteSparse_GPU]]
+arch = "x86_64"
+cuda = "11.7"
+git-tree-sha1 = "99677c200eaa14660a59f2b74cdff738afc2de20"
+lazy = true
+libc = "glibc"
+os = "linux"
+
+    [[SuiteSparse_GPU.download]]
+    sha256 = "9a333b67e5dbe4428e1d589e59c9038802d1ea1365aa03bc01f7d5199b96b6f1"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+11.7.tar.gz"
+[[SuiteSparse_GPU]]
+arch = "x86_64"
+cuda = "11.8"
+git-tree-sha1 = "c773accec279033bd79bc804effa2d851bf1fec8"
+lazy = true
+libc = "glibc"
+os = "linux"
+
+    [[SuiteSparse_GPU.download]]
+    sha256 = "33cc26da03b5dde2b10a97982f1fb5a7092d4743a2eaaec1e53a5aecc892de9b"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+11.8.tar.gz"
 [[SuiteSparse_GPU]]
 arch = "x86_64"
 cuda = "12.0"
-git-tree-sha1 = "d60b87dd33b0dd18571cd4ebd8f03b5f88971236"
+git-tree-sha1 = "b63ea9c60bfc46d780fc26627fd33b2898becc8d"
+lazy = true
+libc = "glibc"
+os = "linux"
+
+    [[SuiteSparse_GPU.download]]
+    sha256 = "84d482c056664175a43d16e771d86f84a4a1f08b4f87e98b60ad39e92f4b2def"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+12.0.tar.gz"
+[[SuiteSparse_GPU]]
+arch = "x86_64"
+cuda = "12.1"
+git-tree-sha1 = "62cb5db61738e90b263e24aabe08e6563f38ce25"
+lazy = true
+libc = "glibc"
+os = "linux"
+
+    [[SuiteSparse_GPU.download]]
+    sha256 = "1863d7b4dcdd375e88e834a6e02e6eb8d78bf2c54b6461fdd6bbca4148516991"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+12.1.tar.gz"
+[[SuiteSparse_GPU]]
+arch = "x86_64"
+cuda = "12.2"
+git-tree-sha1 = "6fb2340971ccd3d9fa83d974fdfc1a82d081b118"
+lazy = true
+libc = "glibc"
+os = "linux"
+
+    [[SuiteSparse_GPU.download]]
+    sha256 = "abbd914fba824f6c3f8fe9b09c1e34e96eacafc17075c35b25ad76c20f6e20e6"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+12.2.tar.gz"
+[[SuiteSparse_GPU]]
+arch = "x86_64"
+cuda = "12.3"
+git-tree-sha1 = "28f6719c328941b159636615adf171e7dcd7afb8"
 lazy = true
 libc = "glibc"
 os = "linux"
 
     [[SuiteSparse_GPU.download]]
-    sha256 = "4ed900cfad6e235dfa58d135078486cec9e398a60d28c7d73f9fda1e2d6d4827"
-    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v5.10.1+2/SuiteSparse_GPU.v5.10.1.x86_64-linux-gnu-cuda+12.0.tar.gz"
+    sha256 = "a0f4bd28259c3b960123fbf295932bcf98e68a5d54d274bcc9839f7afa23593f"
+    url = "https://github.com/JuliaBinaryWrappers/SuiteSparse_GPU_jll.jl/releases/download/SuiteSparse_GPU-v7.5.0+0/SuiteSparse_GPU.v7.5.0.x86_64-linux-gnu-cuda+12.3.tar.gz"

Project.toml

@@ -1,6 +1,6 @@
 name = "SuiteSparse_GPU_jll"
 uuid = "d273dfef-62f2-5f88-806b-f32b81b662f1"
-version = "5.10.1+2"
+version = "7.5.0+0"
 
 [deps]
 JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"
@@ -9,10 +9,15 @@ LazyArtifacts = "4af54fe1-eca0-43a8-85a7-787d91b784e3"
 CUDA_Runtime_jll = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"
 Libdl = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
 SuiteSparse_jll = "bea87d4a-7f5b-5778-9afe-8cc45184846c"
-METIS_jll = "d00139f3-1899-568f-a2f0-47f597d42d70"
 TOML = "fa267f1f-6049-4f14-aa54-33bafae1ed76"
 Artifacts = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
 
 [compat]
 JLLWrappers = "1.4.0"
-julia = "1.7"
+julia = "1.11"
+libblastrampoline_jll = "5.8.0"
+LazyArtifacts = "1"
+Libdl = "1"
+SuiteSparse_jll = "=7.5.0"
+TOML = "1"
+Artifacts = "1"

README.md

@@ -1,10 +1,10 @@
-# `SuiteSparse_GPU_jll.jl` (v5.10.1+2)
+# `SuiteSparse_GPU_jll.jl` (v7.5.0+0)
 
 [![deps](https://juliahub.com/docs/SuiteSparse_GPU_jll/deps.svg)](https://juliahub.com/ui/Packages/SuiteSparse_GPU_jll/vIIES?page=2)
 
 This is an autogenerated package constructed using [`BinaryBuilder.jl`](https://github.com/JuliaPackaging/BinaryBuilder.jl).
 
-The originating [`build_tarballs.jl`](https://github.com/JuliaPackaging/Yggdrasil/blob/99b076321ab5bbc87b8dfbb39ba33aaa3bb04da6/S/SuiteSparse/SuiteSparse_GPU@5/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
+The originating [`build_tarballs.jl`](https://github.com/JuliaPackaging/Yggdrasil/blob/d275e80f7eff8d0bd015abedee39f3f9cb633931/S/SuiteSparse/SuiteSparse_GPU@7/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
 
 ## Bug Reports
 
@@ -18,30 +18,27 @@ For more details about JLL packages and how to use them, see `BinaryBuilder.jl`
 
 The tarballs for `SuiteSparse_GPU_jll.jl` have been built from these sources:
 
-* git repository: https://github.com/DrTimothyAldenDavis/SuiteSparse.git (revision: `538273cfd53720a10e34a3d80d3779b607e1ac26`)
-* files in directory, relative to originating `build_tarballs.jl`: [`./bundled`](https://github.com/JuliaPackaging/Yggdrasil/tree/99b076321ab5bbc87b8dfbb39ba33aaa3bb04da6/S/SuiteSparse/SuiteSparse_GPU@5/bundled)
+* git repository: https://github.com/DrTimothyAldenDavis/SuiteSparse.git (revision: `da5050cd3f6b6a15ec4d7c42b2c1e2dfe4f8ef6e`)
 
 ## Platforms
 
 `SuiteSparse_GPU_jll.jl` is available for the following platforms:
 
-* `Linux x86_64 {cuda=12.0, libc=glibc}` (`x86_64-linux-gnu-cuda+12.0`)
+* `Linux x86_64 {cuda=12.3, libc=glibc}` (`x86_64-linux-gnu-cuda+12.3`)
 
 ## Dependencies
 
 The following JLL packages are required by `SuiteSparse_GPU_jll.jl`:
 
 * [`CUDA_Runtime_jll`](https://github.com/JuliaBinaryWrappers/CUDA_Runtime_jll.jl)
-* [`METIS_jll`](https://github.com/JuliaBinaryWrappers/METIS_jll.jl)
 * [`SuiteSparse_jll`](https://github.com/JuliaBinaryWrappers/SuiteSparse_jll.jl)
 * [`libblastrampoline_jll`](https://github.com/JuliaBinaryWrappers/libblastrampoline_jll.jl)
 
 ## Products
 
 The code bindings within this package are autogenerated from the following `Products`:
 
-* `LibraryProduct`: `libGPUQREngine`
-* `LibraryProduct`: `libSuiteSparse_GPURuntime`
 * `LibraryProduct`: `libcholmod`
+* `LibraryProduct`: `libgpuqrengine`
 * `LibraryProduct`: `libspqr`
-* `LibraryProduct`: `libsuitesparseconfig`
+* `LibraryProduct`: `libsuitesparse_gpuruntime`

src/wrappers/x86_64-linux-gnu-cuda+10.2.jl

@@ -0,0 +1,39 @@
+# Autogenerated wrapper script for SuiteSparse_GPU_jll for x86_64-linux-gnu-cuda+11.4
+export libcholmod, libgpuqrengine, libspqr, libsuitesparse_gpuruntime
+
+using libblastrampoline_jll
+using SuiteSparse_jll
+using CUDA_Runtime_jll
+JLLWrappers.@generate_wrapper_header("SuiteSparse_GPU")
+JLLWrappers.@declare_library_product(libcholmod, "libcholmod_cuda.so.5")
+JLLWrappers.@declare_library_product(libgpuqrengine, "libgpuqrengine_cuda.so.4")
+JLLWrappers.@declare_library_product(libspqr, "libspqr_cuda.so.4")
+JLLWrappers.@declare_library_product(libsuitesparse_gpuruntime, "libsuitesparse_gpuruntime_cuda.so.4")
+function __init__()
+    JLLWrappers.@generate_init_header(libblastrampoline_jll, SuiteSparse_jll, CUDA_Runtime_jll)
+    JLLWrappers.@init_library_product(
+        libcholmod,
+        "lib/libcholmod_cuda.so",
+        RTLD_LAZY | RTLD_DEEPBIND,
+    )
+
+    JLLWrappers.@init_library_product(
+        libgpuqrengine,
+        "lib/libgpuqrengine_cuda.so",
+        RTLD_LAZY | RTLD_DEEPBIND,
+    )
+
+    JLLWrappers.@init_library_product(
+        libspqr,
+        "lib/libspqr_cuda.so",
+        RTLD_LAZY | RTLD_DEEPBIND,
+    )
+
+    JLLWrappers.@init_library_product(
+        libsuitesparse_gpuruntime,
+        "lib/libsuitesparse_gpuruntime_cuda.so",
+        RTLD_LAZY | RTLD_DEEPBIND,
+    )
+
+    JLLWrappers.@generate_init_footer()
+end  # __init__()