CUDA_Driver_jll build 0.2.0+0

Author: jlbuild

Artifacts.toml

@@ -7,7 +7,7 @@ os = "linux"
 
     [[CUDA_Driver.download]]
     sha256 = "a6cd6aa5c0ceb95e2d14064e012ecfd81e2ea1104612a7e0aec1ddabe59c153b"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/releases/download/CUDA_Driver-v0.1.0+0/CUDA_Driver.v0.1.0.x86_64-linux-gnu.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/releases/download/CUDA_Driver-v0.2.0+0/CUDA_Driver.v0.2.0.x86_64-linux-gnu.tar.gz"
 [[CUDA_Driver]]
 arch = "powerpc64le"
 git-tree-sha1 = "7b4d06d1a0ff9386810fdf729b067d8ba77c97b5"
@@ -17,7 +17,7 @@ os = "linux"
 
     [[CUDA_Driver.download]]
     sha256 = "c732d8d14860892002d8e1f492deb6cdce899bdf934d89c09b2f3e7bb5414a7e"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/releases/download/CUDA_Driver-v0.1.0+0/CUDA_Driver.v0.1.0.powerpc64le-linux-gnu.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/releases/download/CUDA_Driver-v0.2.0+0/CUDA_Driver.v0.2.0.powerpc64le-linux-gnu.tar.gz"
 [[CUDA_Driver]]
 arch = "aarch64"
 git-tree-sha1 = "6775921ab78b370d8da50fb0b79e1cff0baa94b9"
@@ -27,4 +27,4 @@ os = "linux"
 
     [[CUDA_Driver.download]]
     sha256 = "2bbf905872c1d57d076c74aae9f7f57ecd2525ca3b36386eee8fbc18ca71dd7a"
-    url = "https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/releases/download/CUDA_Driver-v0.1.0+0/CUDA_Driver.v0.1.0.aarch64-linux-gnu.tar.gz"
+    url = "https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/releases/download/CUDA_Driver-v0.2.0+0/CUDA_Driver.v0.2.0.aarch64-linux-gnu.tar.gz"

Project.toml

@@ -1,6 +1,6 @@
 name = "CUDA_Driver_jll"
 uuid = "4ee394cb-3365-5eb0-8335-949819d2adfc"
-version = "0.1.0+0"
+version = "0.2.0+0"
 
 [deps]
 JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

README.md

@@ -1,10 +1,10 @@
-# `CUDA_Driver_jll.jl` (v0.1.0+0)
+# `CUDA_Driver_jll.jl` (v0.2.0+0)
 
 [![deps](https://juliahub.com/docs/CUDA_Driver_jll/deps.svg)](https://juliahub.com/ui/Packages/CUDA_Driver_jll/QJyk7?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/558c4345b3f0cfb367490777144063d4582a0f77/C/CUDA/CUDA_Driver/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/478c7490b3aa7e5ed482b65edb917d2a3fc9c286/C/CUDA/CUDA_Driver/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
 
 ## Bug Reports
 

src/wrappers/aarch64-linux-gnu.jl

@@ -20,6 +20,11 @@ function __init__()
 
     JLLWrappers.@generate_init_footer()
         global compat_version = v"11.8.0"
+    # global variables we will set
+    global libcuda
+    global libcuda_version
+    global libcuda_original_version
+
     # minimal API call wrappers we need
     function driver_version(library_handle)
         function_handle = Libdl.dlsym(library_handle, "cuDriverGetVersion")
@@ -49,16 +54,12 @@ function __init__()
         @debug "No system CUDA driver found"
         return
     end
-    global libcuda = system_driver
+    libcuda = system_driver
 
     # check if the system driver is already loaded. in that case, we have to use it because
     # the code that loaded it in the first place might have made assumptions based on it.
     system_driver_loaded = Libdl.dlopen(system_driver, Libdl.RTLD_NOLOAD;
                                         throw_error=false) !== nothing
-    if system_driver_loaded
-        @debug "System CUDA driver already loaded, continuing using it"
-        return
-    end
     driver_handle = Libdl.dlopen(system_driver; throw_error=true)
 
     # query the system driver version
@@ -73,6 +74,14 @@ function __init__()
         return
     end
     @debug "System CUDA driver found at $system_driver, detected as version $system_version"
+    libcuda = system_driver
+    libcuda_version = system_version
+
+    # check if the system driver is already loaded (see above)
+    if system_driver_loaded
+        @debug "System CUDA driver already loaded, continuing using it"
+        return
+    end
 
     # check the user preference
     if !parse(Bool, get(ENV, "JULIA_CUDA_USE_COMPAT", "true"))
@@ -136,16 +145,17 @@ function __init__()
                                             throw_error=false) !== nothing
         if compat_driver_loaded
             error("Could not unload the forward compatible CUDA driver library." *
-                "This is probably caused by running Julia under a tool that hooks CUDA API calls." *
-                "In that case, prevent Julia from loading multiple drivers" *
-                " by setting JULIA_CUDA_USE_COMPAT=false in your environment.")
+                  "This is probably caused by running Julia under a tool that hooks CUDA API calls." *
+                  "In that case, prevent Julia from loading multiple drivers" *
+                  " by setting JULIA_CUDA_USE_COMPAT=false in your environment.")
         end
 
         return
     end
 
     @debug "Successfully loaded forwards-compatible CUDA driver"
-    global system_version = system_version
-    global libcuda = compat_driver
+    libcuda = compat_driver
+    libcuda_version = compat_version
+    libcuda_original_version = system_version
 
 end  # __init__()

src/wrappers/powerpc64le-linux-gnu.jl

@@ -20,6 +20,11 @@ function __init__()
 
     JLLWrappers.@generate_init_footer()
         global compat_version = v"11.8.0"
+    # global variables we will set
+    global libcuda
+    global libcuda_version
+    global libcuda_original_version
+
     # minimal API call wrappers we need
     function driver_version(library_handle)
         function_handle = Libdl.dlsym(library_handle, "cuDriverGetVersion")
@@ -49,16 +54,12 @@ function __init__()
         @debug "No system CUDA driver found"
         return
     end
-    global libcuda = system_driver
+    libcuda = system_driver
 
     # check if the system driver is already loaded. in that case, we have to use it because
     # the code that loaded it in the first place might have made assumptions based on it.
     system_driver_loaded = Libdl.dlopen(system_driver, Libdl.RTLD_NOLOAD;
                                         throw_error=false) !== nothing
-    if system_driver_loaded
-        @debug "System CUDA driver already loaded, continuing using it"
-        return
-    end
     driver_handle = Libdl.dlopen(system_driver; throw_error=true)
 
     # query the system driver version
@@ -73,6 +74,14 @@ function __init__()
         return
     end
     @debug "System CUDA driver found at $system_driver, detected as version $system_version"
+    libcuda = system_driver
+    libcuda_version = system_version
+
+    # check if the system driver is already loaded (see above)
+    if system_driver_loaded
+        @debug "System CUDA driver already loaded, continuing using it"
+        return
+    end
 
     # check the user preference
     if !parse(Bool, get(ENV, "JULIA_CUDA_USE_COMPAT", "true"))
@@ -136,16 +145,17 @@ function __init__()
                                             throw_error=false) !== nothing
         if compat_driver_loaded
             error("Could not unload the forward compatible CUDA driver library." *
-                "This is probably caused by running Julia under a tool that hooks CUDA API calls." *
-                "In that case, prevent Julia from loading multiple drivers" *
-                " by setting JULIA_CUDA_USE_COMPAT=false in your environment.")
+                  "This is probably caused by running Julia under a tool that hooks CUDA API calls." *
+                  "In that case, prevent Julia from loading multiple drivers" *
+                  " by setting JULIA_CUDA_USE_COMPAT=false in your environment.")
         end
 
         return
     end
 
     @debug "Successfully loaded forwards-compatible CUDA driver"
-    global system_version = system_version
-    global libcuda = compat_driver
+    libcuda = compat_driver
+    libcuda_version = compat_version
+    libcuda_original_version = system_version
 
 end  # __init__()

src/wrappers/x86_64-linux-gnu.jl

@@ -20,6 +20,11 @@ function __init__()
 
     JLLWrappers.@generate_init_footer()
         global compat_version = v"11.8.0"
+    # global variables we will set
+    global libcuda
+    global libcuda_version
+    global libcuda_original_version
+
     # minimal API call wrappers we need
     function driver_version(library_handle)
         function_handle = Libdl.dlsym(library_handle, "cuDriverGetVersion")
@@ -49,16 +54,12 @@ function __init__()
         @debug "No system CUDA driver found"
         return
     end
-    global libcuda = system_driver
+    libcuda = system_driver
 
     # check if the system driver is already loaded. in that case, we have to use it because
     # the code that loaded it in the first place might have made assumptions based on it.
     system_driver_loaded = Libdl.dlopen(system_driver, Libdl.RTLD_NOLOAD;
                                         throw_error=false) !== nothing
-    if system_driver_loaded
-        @debug "System CUDA driver already loaded, continuing using it"
-        return
-    end
     driver_handle = Libdl.dlopen(system_driver; throw_error=true)
 
     # query the system driver version
@@ -73,6 +74,14 @@ function __init__()
         return
     end
     @debug "System CUDA driver found at $system_driver, detected as version $system_version"
+    libcuda = system_driver
+    libcuda_version = system_version
+
+    # check if the system driver is already loaded (see above)
+    if system_driver_loaded
+        @debug "System CUDA driver already loaded, continuing using it"
+        return
+    end
 
     # check the user preference
     if !parse(Bool, get(ENV, "JULIA_CUDA_USE_COMPAT", "true"))
@@ -136,16 +145,17 @@ function __init__()
                                             throw_error=false) !== nothing
         if compat_driver_loaded
             error("Could not unload the forward compatible CUDA driver library." *
-                "This is probably caused by running Julia under a tool that hooks CUDA API calls." *
-                "In that case, prevent Julia from loading multiple drivers" *
-                " by setting JULIA_CUDA_USE_COMPAT=false in your environment.")
+                  "This is probably caused by running Julia under a tool that hooks CUDA API calls." *
+                  "In that case, prevent Julia from loading multiple drivers" *
+                  " by setting JULIA_CUDA_USE_COMPAT=false in your environment.")
         end
 
         return
     end
 
     @debug "Successfully loaded forwards-compatible CUDA driver"
-    global system_version = system_version
-    global libcuda = compat_driver
+    libcuda = compat_driver
+    libcuda_version = compat_version
+    libcuda_original_version = system_version
 
 end  # __init__()