CUDA_Compiler_jll build 0.2.0+1

Author: jlbuild

.pkg/platform_augmentation.jl

@@ -2,23 +2,49 @@ using Base.BinaryPlatforms
 
 using Libdl
 
-# before loading CUDA_Driver_jll, try to find out where the system driver is located.
-let
-    name = if Sys.iswindows()
-        Libdl.find_library("nvcuda")
+# re-use the CUDA_Runtime_jll preference to select the appropriate compiler
+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")
+function parse_version_preference(key)
+    if haskey(preferences, key)
+        if isa(preferences[key], String)
+            version = tryparse(VersionNumber, preferences[key])
+            if version === nothing
+                @error "CUDA $key preference is not valid; expected a version number, but got '$(preferences[key])'"
+                missing
+            else
+                version
+            end
+        else
+            @error "CUDA $key preference is not valid; expected a version number, but got '$(preferences[key])'"
+            missing
+        end
     else
-        Libdl.find_library(["libcuda.so.1", "libcuda.so"])
+        missing
     end
+end
+const version_preference = parse_version_preference("version")
+
+if ismissing(version_preference)
+    # before loading CUDA_Driver_jll, try to find out where the system driver is located.
+    let
+        name = if Sys.iswindows()
+            Libdl.find_library("nvcuda")
+        else
+            Libdl.find_library(["libcuda.so.1", "libcuda.so"])
+        end
 
-    # if we've found a system driver, put a dependency on it,
-    # so that we get recompiled if the driver changes.
-    if name != ""
-        handle = Libdl.dlopen(name)
-        path = Libdl.dlpath(handle)
-        Libdl.dlclose(handle)
+        # if we've found a system driver, put a dependency on it,
+        # so that we get recompiled if the driver changes.
+        if name != ""
+            handle = Libdl.dlopen(name)
+            path = Libdl.dlpath(handle)
+            Libdl.dlclose(handle)
 
-        @debug "Adding include dependency on $path"
-        Base.include_dependency(path)
+            @debug "Adding include dependency on $path"
+            Base.include_dependency(path)
+        end
     end
 end
 
@@ -108,14 +134,19 @@ end
 # returns the value for the "cuda" tag we should use in the platform ("$MAJOR")
 # or nothing if no CUDA driver was found.
 function cuda_driver_tag()
-    cuda_driver = get_driver_version()
-    if cuda_driver === nothing
-        @debug "Failed to query CUDA driver version"
-        return nothing
-    end
-    @debug "CUDA driver version: $cuda_driver"
+    if version_preference !== missing
+        @debug "CUDA version override: $version_preference"
+        "$(version_preference.major)"
+    else
+        cuda_driver = get_driver_version()
+        if cuda_driver === nothing
+            @debug "Failed to query CUDA driver version"
+            return nothing
+        end
+        @debug "CUDA driver version: $cuda_driver"
 
-    "$(cuda_driver.major)"
+        "$(cuda_driver.major)"
+    end
 end
 
 function augment_platform!(platform::Platform)

Artifacts.toml

@@ -8,7 +8,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "a249766eebae37d103e45c90c331784a3d26633194b2facb259c6fcb29f8ae03"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+11.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+11.tar.gz"
 [[CUDA_Compiler]]
 arch = "aarch64"
 cuda = "11"
@@ -20,7 +20,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "4b89ab924dae5e44204fdeedb814fb603f3f8f26fe962d92f212774787744841"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+jetson-cuda+11.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+jetson-cuda+11.tar.gz"
 [[CUDA_Compiler]]
 arch = "aarch64"
 cuda = "11"
@@ -32,7 +32,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "fc9c1cd6a93c700f827b1dd484bff0ca2b5ea54e9b1f0bad70bea8517ae1b275"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+sbsa-cuda+11.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+sbsa-cuda+11.tar.gz"
 [[CUDA_Compiler]]
 arch = "x86_64"
 cuda = "11"
@@ -42,7 +42,7 @@ os = "windows"
 
     [[CUDA_Compiler.download]]
     sha256 = "4da6c51fab2e0b5a31a5d13fcad2d635691d6f107875914b6d6510879472b2fb"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-w64-mingw32-cuda+11.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.x86_64-w64-mingw32-cuda+11.tar.gz"
 [[CUDA_Compiler]]
 arch = "x86_64"
 cuda = "12"
@@ -53,7 +53,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "bdc82d97b73b7e0e5369f40ca4d9813b314578292a750ce09977280d11eb8da3"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+12.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+12.tar.gz"
 [[CUDA_Compiler]]
 arch = "aarch64"
 cuda = "12"
@@ -65,7 +65,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "61a5418b016dd9965eba530186fe68f4b041ef059d2fbb3c24e0ddb235abcdca"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+jetson-cuda+12.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+jetson-cuda+12.tar.gz"
 [[CUDA_Compiler]]
 arch = "aarch64"
 cuda = "12"
@@ -77,7 +77,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "07d88f979ce98f74210a90a690b1bb07d7de22455f3ff42cb93597f145ec812d"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+sbsa-cuda+12.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda_platform+sbsa-cuda+12.tar.gz"
 [[CUDA_Compiler]]
 arch = "x86_64"
 cuda = "12"
@@ -87,7 +87,7 @@ os = "windows"
 
     [[CUDA_Compiler.download]]
     sha256 = "528c37bc3d53b69446e172381c7978c791731037ed15d4bb7a8a345fac005a54"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-w64-mingw32-cuda+12.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.x86_64-w64-mingw32-cuda+12.tar.gz"
 [[CUDA_Compiler]]
 arch = "x86_64"
 cuda = "13"
@@ -98,7 +98,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "e8385e68ebdcf44b736222fc71c05c3d7eab0fc86002300c41066be5da98b03d"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+13.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+13.tar.gz"
 [[CUDA_Compiler]]
 arch = "aarch64"
 cuda = "13"
@@ -109,7 +109,7 @@ os = "linux"
 
     [[CUDA_Compiler.download]]
     sha256 = "31038643db6407f2fd061aa9d5a5bb45b78a54b4bb48f7bec104d5ce2cd787f4"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda+13.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.aarch64-linux-gnu-cuda+13.tar.gz"
 [[CUDA_Compiler]]
 arch = "x86_64"
 cuda = "13"
@@ -119,4 +119,4 @@ os = "windows"
 
     [[CUDA_Compiler.download]]
     sha256 = "f42a23c40e568b85e384b2e1c888d2431db686ac20dd58ac1cfd6fa4fbf46de1"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-w64-mingw32-cuda+13.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+1/CUDA_Compiler.v0.2.0.x86_64-w64-mingw32-cuda+13.tar.gz"

Project.toml

@@ -1,6 +1,6 @@
 name = "CUDA_Compiler_jll"
 uuid = "d1e2174e-dfdc-576e-b43e-73b79eb1aca8"
-version = "0.2.0+0"
+version = "0.2.0+1"
 
 [deps]
 JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

README.md

@@ -1,10 +1,10 @@
-# `CUDA_Compiler_jll.jl` (v0.2.0+0)
+# `CUDA_Compiler_jll.jl` (v0.2.0+1)
 
 [![deps](https://juliahub.com/docs/CUDA_Compiler_jll/deps.svg)](https://juliahub.com/ui/Packages/General/CUDA_Compiler_jll/)
 
 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/f514941be8c2fcdf71c558b7807dbfed14d92d7c/C/CUDA/CUDA_Compiler/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/4c88a614901272e749a212b40aaf2fa69339ed28/C/CUDA/CUDA_Compiler/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
 
 ## Bug Reports