Reactant_jll build 0.0.233+0

Author: jlbuild

Artifacts.toml

@@ -11,7 +11,7 @@ os = "linux"
 
     [[Reactant.download]]
     sha256 = "940d911d1b5db0d78532c3c0f255426fcb380765f8e954f7051be00406ef3f81"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "none"
@@ -25,7 +25,7 @@ os = "linux"
 
     [[Reactant.download]]
     sha256 = "996e040219568958ddcb43a38d89b45372665c1788bcc17763877bac0879ce01"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "none"
@@ -37,7 +37,7 @@ os = "macos"
 
     [[Reactant.download]]
     sha256 = "ea357b05a948b2fd602911d4728f1b655454631dbb0cac5615b7c77ceb6b6b10"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "none"
@@ -49,111 +49,111 @@ os = "macos"
 
     [[Reactant.download]]
     sha256 = "0551af5c7c14f420ddfd89ee90d53c7f4f3013d8cf445a0492531a94014bc56d"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "66f6193ea2739229830767037868ca8c53dfc81e"
+git-tree-sha1 = "b2b7dce2a78c5ab26f211b9181212e213b073cbf"
 gpu = "none"
 lazy = true
 mode = "opt"
 os = "windows"
 
     [[Reactant.download]]
-    sha256 = "0114f465ae0933d4cdbe45fdfc90717b9ee50ff25caf2d9a655d314c32065bda"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-w64-mingw32-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
+    sha256 = "27a2d9214bdb4758215b18f7c42430b5a54530fb98815a04b3373fe83359e343"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.x86_64-w64-mingw32-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
 [[Reactant]]
 arch = "x86_64"
 cuda_version = "none"
-git-tree-sha1 = "fd610e3456199e29648ab3e17159eb3219b3aa97"
+git-tree-sha1 = "dcceca42f9f756ee6253d8fcf1591b237196e536"
 gpu = "none"
 lazy = true
 mode = "dbg"
 os = "macos"
 
     [[Reactant.download]]
-    sha256 = "c97ee5f611034a357cd6e7d2c5aaec71b9acf9394ceb7a9028deaeec4052c25d"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
+    sha256 = "b76df06d2d41c31402d68da9a3993f6fa655f5510b0aa153a217edf0d764730b"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
 [[Reactant]]
 arch = "aarch64"
 cuda_version = "none"
-git-tree-sha1 = "573244f19793cce0ff11214e23bb4cdf8e2041ac"
+git-tree-sha1 = "de819fa6b7c98a528bf9f2408ae6c30aae2acf9e"
 gpu = "none"
 lazy = true
 mode = "dbg"
 os = "macos"
 
     [[Reactant.download]]
-    sha256 = "a0539d97bebbb422128144e3d934973de1704002491633dbc9288095bea4e978"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
+    sha256 = "6f87613df5d0d51d313651e44699d1e4fae442ff63bf2f14951a36ef06f18dcc"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "adddd99938a3d7dbf68847bd3023b57e4b9b7abd"
+git-tree-sha1 = "88e26ed974ee27afbf8ac2af0c95f2225432dad9"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "670f64c9ff28bbb4cf376a86b73f06e6b4e0bb59616d7eb253c8889dd756e7b3"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-linux-gnu-cxx11-cuda_version+12.4-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "e668a49dad7bd4106a86ac7e4f2659881481924a0176329a3cc48b964f4246fe"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "f568be886fe8541557329ba449bec7af5b633c41"
+git-tree-sha1 = "1b538b95cba8bbde1914f48d288ea57adefb3be7"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "54e84c7e4bd7b0ae7fae748e79ce421e5814641949103a239653b187ed3676eb"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "883baae4098c27f664ea3f9f06e6fb29fc16f8f1e2e4f373a0e96568166126ee"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "49657b340a96d2a240c8894806b95161e0fabd32"
+git-tree-sha1 = "ae7f857957aeba422d7405b3b6018449fb868da1"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "4a22e604a74a34c45548a25b964ff56605de85c0dc16af2a94b762863345530b"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "f50497e4e3012618d74b797aa0df5cb589bfd64ec2cfa261c50ae637393fc5a5"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "0df5588e11f2b0273ff568f198727b73e3896977"
+git-tree-sha1 = "b3f57dc7163f35e88727da0b84698d42fed71e4e"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "1a598c67aabd394867c0e8d8ab0dd3de3518eaeaf5d2823091b3c368373f9d3b"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.x86_64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "36625425afabedbfe7b41c56f148d565c3d0fba2c61742a087f5b162ec70facb"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "d38dddf0dd5a3cc5c6819ad35a80f02f12b3fbe8"
+git-tree-sha1 = "901281c8b644743b7d15007b689bebb5c8eb2395"
 gpu = "cuda"
 lazy = true
 libc = "glibc"
 mode = "opt"
 os = "linux"
 
     [[Reactant.download]]
-    sha256 = "8fe3843843f9cb1064924581e2765774c82de88ce162487cac29946eeb3b27e4"
-    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.232+0/Reactant.v0.0.232.aarch64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"
+    sha256 = "dcabeb4e7295eefa54667e10020b4503d9f0cfe50283d9d67cc7ebb2c0a26bdc"
+    url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.233+0/Reactant.v0.0.233.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 = "0.0.232+0"
+version = "0.0.233+0"
 
 [deps]
 JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

README.md

@@ -1,10 +1,10 @@
-# `Reactant_jll.jl` (v0.0.232+0)
+# `Reactant_jll.jl` (v0.0.233+0)
 
 [![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/e0238f7961bc0d28f47e6bb238f9e8408e848f66/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/50a7b7c230bb6a537044fc472ac9015cb3d4694e/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: `9cc1bb0d8584f19876a2416e1c0e8eb60ffa94f8`)
+* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `dbd12e05751aefdc99e19e94e4c3a66e305afcda`)
 * 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`)
@@ -54,14 +54,14 @@ The code bindings within this package are autogenerated from the following `Prod
 * `LibraryProduct`: `libcufft`
 * `LibraryProduct`: `libcusolver`
 * `LibraryProduct`: `libcusparse`
+* `FileProduct`: `libdevice`
 * `LibraryProduct`: `libnccl`
 * `LibraryProduct`: `libnvJitLink`
 * `LibraryProduct`: `libnvrtc`
 * `LibraryProduct`: `libnvrtc_builtins`
 * `LibraryProduct`: `libnvshmem_host`
 * `LibraryProduct`: `nvshmem_bootstrap_uid`
+* `LibraryProduct`: `nvshmem_transport_ibrc`
 * `ExecutableProduct`: `fatbinary`
-* `FileProduct`: `libdevice`
 * `FileProduct`: `libnvshmem_device`
-* `LibraryProduct`: `nvshmem_transport_ibrc`
 * `ExecutableProduct`: `ptxas`

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_executable_product(fatbinary)
+JLLWrappers.@declare_file_product(libnvshmem_device)
 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)
@@ -150,17 +150,22 @@ 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_executable_product(
+        fatbinary,
+        "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",
@@ -173,11 +178,6 @@ function __init__()
         nothing,
     )
 
-    JLLWrappers.@init_executable_product(
-        fatbinary,
-        "lib/cuda/bin/fatbinary",
-    )
-
     JLLWrappers.@init_executable_product(
         ptxas,
         "lib/cuda/bin/ptxas",

src/wrappers/aarch64-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_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_file_product(libnvshmem_device)
-JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
 JLLWrappers.@declare_executable_product(ptxas)
 function __init__()
     JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -121,6 +121,11 @@ function __init__()
         nothing,
     )
 
+    JLLWrappers.@init_file_product(
+        libdevice,
+        "lib/cuda/nvvm/libdevice/libdevice.10.bc",
+    )
+
     JLLWrappers.@init_library_product(
         libnccl,
         "lib/libnccl.so.2",
@@ -157,27 +162,22 @@ function __init__()
         nothing,
     )
 
+    JLLWrappers.@init_library_product(
+        nvshmem_transport_ibrc,
+        "lib/nvshmem_transport_ibrc.so.3",
+        nothing,
+    )
+
     JLLWrappers.@init_executable_product(
         fatbinary,
         "lib/cuda/bin/fatbinary",
     )
 
-    JLLWrappers.@init_file_product(
-        libdevice,
-        "lib/cuda/nvvm/libdevice/libdevice.10.bc",
-    )
-
     JLLWrappers.@init_file_product(
         libnvshmem_device,
         "lib/libnvshmem_device.bc",
     )
 
-    JLLWrappers.@init_library_product(
-        nvshmem_transport_ibrc,
-        "lib/nvshmem_transport_ibrc.so.3",
-        nothing,
-    )
-
     JLLWrappers.@init_executable_product(
         ptxas,
         "lib/cuda/bin/ptxas",

src/wrappers/x86_64-linux-gnu-cxx11-cuda_version+12.4-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_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")
@@ -28,6 +27,7 @@ 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_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",
@@ -178,6 +173,11 @@ function __init__()
         "lib/cuda/bin/fatbinary",
     )
 
+    JLLWrappers.@init_file_product(
+        libdevice,
+        "lib/cuda/nvvm/libdevice/libdevice.10.bc",
+    )
+
     JLLWrappers.@init_executable_product(
         ptxas,
         "lib/cuda/bin/ptxas",