Reactant_jll build 0.0.230+2

Author: jlbuild

.pkg/platform_augmentation.jl

@@ -76,7 +76,7 @@ function augment_platform!(platform::Platform)
 
     # Don't do GPU discovery on platforms for which we don't have GPU builds.
     # Keep this in sync with list of platforms for which we actually build with GPU support.
-    if !Sys.isapple(platform)
+    if !Sys.isapple(platform) && !Sys.iswindows()
 
         cuname = if Sys.iswindows()
             Libdl.find_library("nvcuda")

Artifacts.toml

@@ -2,158 +2,158 @@
 arch = "x86_64"
 cuda_version = "none"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "06a8e461ffa4e48b9fe41fb4b3bf5e1d9ad111d4"
+git-tree-sha1 = "fdbbd5a33bf214dc5dce265455260705abb9ef96"
 gpu = "none"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "6d8de7557c12d9d1ec4948bbdbbcbbaa2bd1fb013e49a5c13f1f4a1a3e0fc753"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    sha256 = "6f23c5fcb422a819d16e499b5c3b1d8ab9ee5aec9665b4a390f9dc9cad99287c"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "none"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "3b4e83f860b4986d02f0d90e50f418a3e522ddb2"
+git-tree-sha1 = "c7c85f6bd52edcf5999cd15dec0fc8c7fa3392f2"
 gpu = "none"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "66e4e0a0650b1a5277f36524cd18cfed8c2c2dd883364983adb3c386f9a0e0c5"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    sha256 = "733ca892f9241c961460df30dccf91d755419db871b901049cafc38b45ec07ca"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "none"
-git-tree-sha1 = "638197ee45b9ba49ff02d1c2086ec1beeca4930a"
+git-tree-sha1 = "b5aced971c297653579fd7a31d7bdeedd05953a4"
 gpu = "none"
 lazy = true
 mode = "opt"
 os = "macos"
 
     [[Reactant.download]]
-    sha256 = "9762af57b504df2e6f04c65752976dbe680cb0119546f9cd4eec7eaaba0523c7"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    sha256 = "c3041a297acfd74aa904258a989fd0e27c9f0ce3b608ecd1775facac7753e3ef"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "none"
-git-tree-sha1 = "d15a487132eefd47f28c53d53700dfacdb76615e"
+git-tree-sha1 = "5ede7bae11c7a938853d250da602702e6a4193a4"
 gpu = "none"
 lazy = true
 mode = "opt"
 os = "macos"
 
     [[Reactant.download]]
-    sha256 = "a14b8bf3e0e950fc06d3e08a21cae6713d1926b638cdb2e90852aa55bddc4412"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    sha256 = "e3890b5fca4b53e276be69e3968d4fa599f12a4e1a488e9b262e7b6d57e0a8f7"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "none"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "c30b25cc0446ed8fb2d41aa234b3cb9f92fa6c99"
+git-tree-sha1 = "1bcc9be2269e8138853e43741a66984ee9a80d20"
 gpu = "none"
 lazy = true
 mode = "opt"
 os = "windows"
 
     [[Reactant.download]]
-    sha256 = "9bb031018140ddf428d30aa1d420abcd2f054548420463cf8bbb252ec1b60cdf"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-w64-mingw32-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    sha256 = "fa2638eb07b7e9e7764de17b8bba3676152619aed3c34c74aa0c7e59661dddd3"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-w64-mingw32-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "none"
-git-tree-sha1 = "c9595e905e40e8e260459688a3029e2dffe7b9c9"
+git-tree-sha1 = "636ee819bddd31970164d6b20ebe00e0492dabeb"
 gpu = "none"
 lazy = true
 mode = "dbg"
 os = "macos"
 
     [[Reactant.download]]
-    sha256 = "102761fa0c4246d0beb3044c0afa4e5528445c37fea2149e7128ed1fb2685b77"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
+    sha256 = "c3020ae1c8840c14581ef3014bf4b0a7c9cd5429f8709c492b74a56a87ae6337"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "none"
-git-tree-sha1 = "2939425dec2579e6a4c6e9c3304edb8a0b86b866"
+git-tree-sha1 = "3a8f89568a1b836e6cb7c27c0fdb2b0b071b3b70"
 gpu = "none"
 lazy = true
 mode = "dbg"
 os = "macos"
 
     [[Reactant.download]]
-    sha256 = "fabcc43fed7d1cbfe9c621c47e118a708913e9d8b0b71a7d3f01fe58f098f760"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
+    sha256 = "76344a7ce854a92a51b03f63bdc3ee9711ec231e474f8e26e7ddd18447752ddc"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "12.4"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "c7a0640163da48ef2d0f24da3c4280d538ef55d0"
+git-tree-sha1 = "55501b2a88e4e33617b269d00126425026782768"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "5c747d339bff4eb52ea748198c711b5345d935a00f7489d80790d400e2881636"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+12.4-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "81324e6899beb6c151e16ef4634428f60e7cc62f4af6b6cd7418a1140c8ca7a0"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+12.4-gpu+cuda-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "12.6"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "a13de70eb3e3df1abd467d3f80fdf9a41fcd87cc"
+git-tree-sha1 = "68f7265c76697fe005fec2890da62da60e678741"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "24f2acad307a4b43e3893822699ad0189bc9e58b2823c228e222b9bfe2f00db7"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "901b19c308aa60eaf3e2f4a789d43175754b0d030a0331994bbe07bd2cacfd04"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "12.6"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "2478a6bb76edcfbf7ed25d6320d22c3f356e9949"
+git-tree-sha1 = "52a1dddb31e14169f70802eb5fe3a38523454636"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "6028e4fdd7cad75b8b9c2b4262d3b97394dcd35c9b00f612d76d7b10564a00cd"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "5b3fd688369bf0bd768eaf4dfeb6a12a4d4e3339b650c0c536cccdb2848db212"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "12.8"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "1d259a1211eb1a17dd1596585a923d70bd55cc1c"
+git-tree-sha1 = "eabae401cf09f4a31e5044bc76e120de526821e8"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "5c478ffce0bb51d329e548355684a5d512735d845d02eb752a4f896766194290"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "196ca59ac34ca9d16ec5908cf1622afc0c47862cce410e66289abc9333b7c675"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.x86_64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "12.8"
 cxxstring_abi = "cxx11"
-git-tree-sha1 = "f85815b7d4c9e5a9360a545ab5a48d3e34dd0efd"
+git-tree-sha1 = "b896086fe2cc853179f00c724ea570ff84d48129"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "15bfca94ba9ed9ce27f158fdb823ca5b4e77ee1344a7ef02fac734826375b4c0"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+1/Reactant.v0.0.230.aarch64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "35894a1ec50b51d96346b4496900d7f13227a936d5cba4b55728f213d1f170f1"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.230+2/Reactant.v0.0.230.aarch64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"

Project.toml

@@ -1,6 +1,6 @@
 name = "Reactant_jll"
 uuid = "0192cb87-2b54-54ad-80e0-3be72ad8a3c0"
-version = "0.0.230+1"
+version = "0.0.230+2"
 
 [deps]
 JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

README.md

@@ -1,10 +1,10 @@
-# `Reactant_jll.jl` (v0.0.230+1)
+# `Reactant_jll.jl` (v0.0.230+2)
 
 [![deps](https://juliahub.com/docs/Reactant_jll/deps.svg)](https://juliahub.com/ui/Packages/General/Reactant_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/4b7f4c2252ad9d3505ad45bc6ff904ee3ccb2007/R/Reactant/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/35266c2d442ac76cc3c4e57fa6457b2ac71ef115/R/Reactant/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
 
 ## Bug Reports
 
@@ -18,7 +18,7 @@ For more details about JLL packages and how to use them, see `BinaryBuilder.jl`
 
 The tarballs for `Reactant_jll.jl` have been built from these sources:
 
-* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `3af6b59bc42d571d1789848ca88d92ffa30027a6`)
+* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `6768b3353301b7e7b7c26bac3be74fecb18b95e7`)
 * compressed archive: https://github.com/adoptium/temurin21-binaries/releases/download/jdk-21.0.7%2B6/OpenJDK21U-jdk_x64_alpine-linux_hotspot_21.0.7_6.tar.gz (SHA256 checksum: `79ecc4b213d21ae5c389bea13c6ed23ca4804a45b7b076983356c28105580013`)
 * compressed archive: https://github.com/JuliaBinaryWrappers/Bazel_jll.jl/releases/download/Bazel-v7.6.1+0/Bazel.v7.6.1.x86_64-linux-musl-cxx03.tar.gz (SHA256 checksum: `01ac6c083551796f1f070b0dc9c46248e6c49e01e21040b0c158f6e613733345`)
 * compressed archive: https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-sbsa/cuda_nvcc-linux-sbsa-12.8.93-archive.tar.xz (SHA256 checksum: `dc0b713ce69fd921aa53ac68610717d126fc273a3c554b0465cf44d7e379f467`)

src/wrappers/aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.jl

@@ -23,11 +23,11 @@ JLLWrappers.@declare_library_product(libnccl, "libnccl.so.2")
 JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
 JLLWrappers.@declare_library_product(libnvrtc, "libnvrtc.so.12")
 JLLWrappers.@declare_library_product(libnvrtc_builtins, "libnvrtc-builtins.so.12.6")
-JLLWrappers.@declare_file_product(libnvshmem_device)
 JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
-JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
 JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
 JLLWrappers.@declare_executable_product(fatbinary)
+JLLWrappers.@declare_file_product(libnvshmem_device)
+JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
 JLLWrappers.@declare_executable_product(ptxas)
 function __init__()
     JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -150,23 +150,12 @@ function __init__()
         nothing,
     )
 
-    JLLWrappers.@init_file_product(
-        libnvshmem_device,
-        "lib/libnvshmem_device.bc",
-    )
-
     JLLWrappers.@init_library_product(
         libnvshmem_host,
         "lib/libnvshmem_host.so.3",
         nothing,
     )
 
-    JLLWrappers.@init_library_product(
-        nvshmem_bootstrap_uid,
-        "lib/nvshmem_bootstrap_uid.so",
-        nothing,
-    )
-
     JLLWrappers.@init_library_product(
         nvshmem_transport_ibrc,
         "lib/nvshmem_transport_ibrc.so.3",
@@ -178,6 +167,17 @@ function __init__()
         "lib/cuda/bin/fatbinary",
     )
 
+    JLLWrappers.@init_file_product(
+        libnvshmem_device,
+        "lib/libnvshmem_device.bc",
+    )
+
+    JLLWrappers.@init_library_product(
+        nvshmem_bootstrap_uid,
+        "lib/nvshmem_bootstrap_uid.so",
+        nothing,
+    )
+
     JLLWrappers.@init_executable_product(
         ptxas,
         "lib/cuda/bin/ptxas",

src/wrappers/x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.jl

@@ -18,7 +18,6 @@ JLLWrappers.@declare_library_product(libcudnn_ops, "libcudnn_ops.so.9")
 JLLWrappers.@declare_library_product(libcufft, "libcufft.so.11")
 JLLWrappers.@declare_library_product(libcusolver, "libcusolver.so.11")
 JLLWrappers.@declare_library_product(libcusparse, "libcusparse.so.12")
-JLLWrappers.@declare_executable_product(fatbinary)
 JLLWrappers.@declare_file_product(libdevice)
 JLLWrappers.@declare_library_product(libnccl, "libnccl.so.2")
 JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
@@ -28,6 +27,7 @@ JLLWrappers.@declare_file_product(libnvshmem_device)
 JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
 JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
 JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
+JLLWrappers.@declare_executable_product(fatbinary)
 JLLWrappers.@declare_executable_product(ptxas)
 function __init__()
     JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -121,11 +121,6 @@ function __init__()
         nothing,
     )
 
-    JLLWrappers.@init_executable_product(
-        fatbinary,
-        "lib/cuda/bin/fatbinary",
-    )
-
     JLLWrappers.@init_file_product(
         libdevice,
         "lib/cuda/nvvm/libdevice/libdevice.10.bc",
@@ -178,6 +173,11 @@ function __init__()
         nothing,
     )
 
+    JLLWrappers.@init_executable_product(
+        fatbinary,
+        "lib/cuda/bin/fatbinary",
+    )
+
     JLLWrappers.@init_executable_product(
         ptxas,
         "lib/cuda/bin/ptxas",

src/wrappers/x86_64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.jl

@@ -18,16 +18,16 @@ JLLWrappers.@declare_library_product(libcudnn_ops, "libcudnn_ops.so.9")
 JLLWrappers.@declare_library_product(libcufft, "libcufft.so.11")
 JLLWrappers.@declare_library_product(libcusolver, "libcusolver.so.11")
 JLLWrappers.@declare_library_product(libcusparse, "libcusparse.so.12")
-JLLWrappers.@declare_file_product(libdevice)
 JLLWrappers.@declare_library_product(libnccl, "libnccl.so.2")
 JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
 JLLWrappers.@declare_library_product(libnvrtc, "libnvrtc.so.12")
 JLLWrappers.@declare_library_product(libnvrtc_builtins, "libnvrtc-builtins.so.12.8")
 JLLWrappers.@declare_file_product(libnvshmem_device)
-JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
 JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
 JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
 JLLWrappers.@declare_executable_product(fatbinary)
+JLLWrappers.@declare_file_product(libdevice)
+JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
 JLLWrappers.@declare_executable_product(ptxas)
 function __init__()
     JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -121,11 +121,6 @@ function __init__()
         nothing,
     )
 
-    JLLWrappers.@init_file_product(
-        libdevice,
-        "lib/cuda/nvvm/libdevice/libdevice.10.bc",
-    )
-
     JLLWrappers.@init_library_product(
         libnccl,
         "lib/libnccl.so.2",
@@ -155,12 +150,6 @@ function __init__()
         "lib/libnvshmem_device.bc",
     )
 
-    JLLWrappers.@init_library_product(
-        libnvshmem_host,
-        "lib/libnvshmem_host.so.3",
-        nothing,
-    )
-
     JLLWrappers.@init_library_product(
         nvshmem_bootstrap_uid,
         "lib/nvshmem_bootstrap_uid.so",
@@ -178,6 +167,17 @@ function __init__()
         "lib/cuda/bin/fatbinary",
     )
 
+    JLLWrappers.@init_file_product(
+        libdevice,
+        "lib/cuda/nvvm/libdevice/libdevice.10.bc",
+    )
+
+    JLLWrappers.@init_library_product(
+        libnvshmem_host,
+        "lib/libnvshmem_host.so.3",
+        nothing,
+    )
+
     JLLWrappers.@init_executable_product(
         ptxas,
         "lib/cuda/bin/ptxas",