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Reactant_jll build 0.0.231+0
1 parent 949e04a commit dabff47

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+67
-67
lines changed

Artifacts.toml

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@@ -2,158 +2,158 @@
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arch = "x86_64"
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cuda_version = "none"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "fdbbd5a33bf214dc5dce265455260705abb9ef96"
5+
git-tree-sha1 = "8261582401c8fdcfaad17f70d75f846fc5258d10"
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gpu = "none"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "6f23c5fcb422a819d16e499b5c3b1d8ab9ee5aec9665b4a390f9dc9cad99287c"
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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"
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sha256 = "a0836190b4e8759fb4f0bfe291cc7c9d4449d1574a797efc69c93903222b2218"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
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[[Reactant]]
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arch = "aarch64"
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cuda_version = "none"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "c7c85f6bd52edcf5999cd15dec0fc8c7fa3392f2"
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git-tree-sha1 = "09ba5614309c14f54d581c73173000c012e1d737"
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gpu = "none"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "733ca892f9241c961460df30dccf91d755419db871b901049cafc38b45ec07ca"
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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"
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sha256 = "1c2f36241463ad09a5ff4d407e686999e9f68ee459b021e5afc9679be8aac5ab"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
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[[Reactant]]
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arch = "x86_64"
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cuda_version = "none"
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git-tree-sha1 = "b5aced971c297653579fd7a31d7bdeedd05953a4"
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git-tree-sha1 = "667d1e49791e4547711dd000c3621cbf7d2fc1e5"
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gpu = "none"
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lazy = true
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mode = "opt"
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os = "macos"
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[[Reactant.download]]
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sha256 = "c3041a297acfd74aa904258a989fd0e27c9f0ce3b608ecd1775facac7753e3ef"
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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"
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sha256 = "2f502ad6123e943ee2a13a0f2528a5b61b35fe58b2a1aeac19a70f08bb56f3cc"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
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[[Reactant]]
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arch = "aarch64"
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cuda_version = "none"
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git-tree-sha1 = "5ede7bae11c7a938853d250da602702e6a4193a4"
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git-tree-sha1 = "2d56509f93fdb1f401ecc04ea22051eb93d56a47"
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gpu = "none"
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lazy = true
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mode = "opt"
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os = "macos"
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[[Reactant.download]]
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sha256 = "e3890b5fca4b53e276be69e3968d4fa599f12a4e1a488e9b262e7b6d57e0a8f7"
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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"
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sha256 = "2e9985f27502d661503abdb80c91063b4a4c9b268e6849ab06f2fd636442b3b9"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.xz"
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[[Reactant]]
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arch = "x86_64"
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cuda_version = "none"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "1bcc9be2269e8138853e43741a66984ee9a80d20"
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git-tree-sha1 = "3c59510ead420e75aed21a5125ebd0b1d5798985"
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gpu = "none"
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lazy = true
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mode = "opt"
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os = "windows"
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[[Reactant.download]]
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sha256 = "fa2638eb07b7e9e7764de17b8bba3676152619aed3c34c74aa0c7e59661dddd3"
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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"
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sha256 = "a6b6b1c23896ec297edd535976bdbbe82fa61eabc14e9cd588fd25a991f60baf"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-w64-mingw32-cxx11-cuda_version+none-gpu+none-mode+opt.tar.xz"
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[[Reactant]]
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arch = "x86_64"
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cuda_version = "none"
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git-tree-sha1 = "636ee819bddd31970164d6b20ebe00e0492dabeb"
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git-tree-sha1 = "5160ed5511d65706772d6ee36368969abaa6e192"
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gpu = "none"
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lazy = true
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mode = "dbg"
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os = "macos"
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[[Reactant.download]]
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sha256 = "c3020ae1c8840c14581ef3014bf4b0a7c9cd5429f8709c492b74a56a87ae6337"
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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"
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sha256 = "df583e6f708f4ad67b63a1934bbb6c5e862279d453f29b4d812fc87b8813073d"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
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[[Reactant]]
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arch = "aarch64"
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cuda_version = "none"
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git-tree-sha1 = "3a8f89568a1b836e6cb7c27c0fdb2b0b071b3b70"
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git-tree-sha1 = "5cccd450d59e9118ea7f3022f8999dd11d7ecf67"
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gpu = "none"
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lazy = true
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mode = "dbg"
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os = "macos"
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[[Reactant.download]]
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sha256 = "76344a7ce854a92a51b03f63bdc3ee9711ec231e474f8e26e7ddd18447752ddc"
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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"
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sha256 = "025406be409e79c66b9b06dfa386d10e80bd36284cf82efc4bdaf64799e1bf8e"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+dbg.tar.xz"
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[[Reactant]]
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arch = "x86_64"
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cuda_version = "12.4"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "55501b2a88e4e33617b269d00126425026782768"
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git-tree-sha1 = "3ae35dc43bfd20c816cf25f12980daec4ee2d286"
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gpu = "cuda"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "81324e6899beb6c151e16ef4634428f60e7cc62f4af6b6cd7418a1140c8ca7a0"
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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"
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sha256 = "cd652a6f6c1e7faf53171be2fbc88b621e25567cc8eb03924517d98868d7b383"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-linux-gnu-cxx11-cuda_version+12.4-gpu+cuda-mode+opt.tar.xz"
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[[Reactant]]
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arch = "x86_64"
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cuda_version = "12.6"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "68f7265c76697fe005fec2890da62da60e678741"
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git-tree-sha1 = "a9c463d61a0374fafbb4ee7cc4c00019eed83e48"
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gpu = "cuda"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "901b19c308aa60eaf3e2f4a789d43175754b0d030a0331994bbe07bd2cacfd04"
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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"
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sha256 = "68c3323b5a8bac170ac5efb35b643f8d6deeb192249c1f3ab9299be3e785b7fc"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
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[[Reactant]]
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arch = "aarch64"
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cuda_version = "12.6"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "52a1dddb31e14169f70802eb5fe3a38523454636"
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git-tree-sha1 = "6ddc913091d682119148725db4c64497b6befc70"
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gpu = "cuda"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "5b3fd688369bf0bd768eaf4dfeb6a12a4d4e3339b650c0c536cccdb2848db212"
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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"
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sha256 = "fbc0b176b6c6ade3de211c2a8d1eab1de37068f1c50c41ef47d37f50369e7496"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.xz"
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[[Reactant]]
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arch = "x86_64"
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cuda_version = "12.8"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "eabae401cf09f4a31e5044bc76e120de526821e8"
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git-tree-sha1 = "40520cc955b2fb3d1e85c3956f4426946f9540a6"
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gpu = "cuda"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "196ca59ac34ca9d16ec5908cf1622afc0c47862cce410e66289abc9333b7c675"
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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"
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sha256 = "bafed439cad0629559ae07df6c7942df7a232c6b14ee1c137327f4508cd9202b"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.x86_64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"
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[[Reactant]]
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arch = "aarch64"
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cuda_version = "12.8"
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cxxstring_abi = "cxx11"
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git-tree-sha1 = "b896086fe2cc853179f00c724ea570ff84d48129"
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git-tree-sha1 = "ce2710a531ec286460cda68b91547c3b36e0d7ac"
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gpu = "cuda"
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lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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[[Reactant.download]]
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sha256 = "35894a1ec50b51d96346b4496900d7f13227a936d5cba4b55728f213d1f170f1"
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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"
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sha256 = "5986df0991d77d66df48a70654faa100ad1c97bbb678329f6a7e8d3c1f0cb3e2"
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url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.231+0/Reactant.v0.0.231.aarch64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.tar.xz"

Project.toml

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name = "Reactant_jll"
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uuid = "0192cb87-2b54-54ad-80e0-3be72ad8a3c0"
3-
version = "0.0.230+2"
3+
version = "0.0.231+0"
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[deps]
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JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

README.md

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1-
# `Reactant_jll.jl` (v0.0.230+2)
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# `Reactant_jll.jl` (v0.0.231+0)
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[![deps](https://juliahub.com/docs/Reactant_jll/deps.svg)](https://juliahub.com/ui/Packages/General/Reactant_jll/)
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This is an autogenerated package constructed using [`BinaryBuilder.jl`](https://github.com/JuliaPackaging/BinaryBuilder.jl).
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7-
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.
7+
The originating [`build_tarballs.jl`](https://github.com/JuliaPackaging/Yggdrasil/blob/5ecf224dff60115638354218fdafde3979fa751a/R/Reactant/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
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## Bug Reports
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@@ -18,7 +18,7 @@ For more details about JLL packages and how to use them, see `BinaryBuilder.jl`
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The tarballs for `Reactant_jll.jl` have been built from these sources:
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21-
* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `6768b3353301b7e7b7c26bac3be74fecb18b95e7`)
21+
* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `5fa2e0c5bf7c1d52454c7be0679a70ae8dfa5ea3`)
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* 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`)
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* 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`)
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* 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`)
@@ -59,9 +59,9 @@ The code bindings within this package are autogenerated from the following `Prod
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* `LibraryProduct`: `libnvJitLink`
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* `LibraryProduct`: `libnvrtc`
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* `LibraryProduct`: `libnvrtc_builtins`
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* `FileProduct`: `libnvshmem_device`
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* `LibraryProduct`: `libnvshmem_host`
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* `LibraryProduct`: `nvshmem_bootstrap_uid`
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* `LibraryProduct`: `nvshmem_transport_ibrc`
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* `ExecutableProduct`: `fatbinary`
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* `FileProduct`: `libnvshmem_device`
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* `ExecutableProduct`: `ptxas`

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

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@@ -24,10 +24,10 @@ JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
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JLLWrappers.@declare_library_product(libnvrtc, "libnvrtc.so.12")
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JLLWrappers.@declare_library_product(libnvrtc_builtins, "libnvrtc-builtins.so.12.6")
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JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
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JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
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JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
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JLLWrappers.@declare_executable_product(fatbinary)
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JLLWrappers.@declare_file_product(libnvshmem_device)
30-
JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
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JLLWrappers.@declare_executable_product(ptxas)
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function __init__()
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JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -156,6 +156,12 @@ function __init__()
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nothing,
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)
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JLLWrappers.@init_library_product(
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nvshmem_bootstrap_uid,
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"lib/nvshmem_bootstrap_uid.so",
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nothing,
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)
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JLLWrappers.@init_library_product(
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nvshmem_transport_ibrc,
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"lib/nvshmem_transport_ibrc.so.3",
@@ -172,12 +178,6 @@ function __init__()
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"lib/libnvshmem_device.bc",
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)
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JLLWrappers.@init_library_product(
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nvshmem_bootstrap_uid,
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"lib/nvshmem_bootstrap_uid.so",
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nothing,
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)
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JLLWrappers.@init_executable_product(
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ptxas,
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src/wrappers/aarch64-linux-gnu-cxx11-cuda_version+12.8-gpu+cuda-mode+opt.jl

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -23,11 +23,11 @@ JLLWrappers.@declare_library_product(libnccl, "libnccl.so.2")
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JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
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JLLWrappers.@declare_library_product(libnvrtc, "libnvrtc.so.12")
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JLLWrappers.@declare_library_product(libnvrtc_builtins, "libnvrtc-builtins.so.12.8")
26-
JLLWrappers.@declare_file_product(libnvshmem_device)
2726
JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
2827
JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
2928
JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
3029
JLLWrappers.@declare_executable_product(fatbinary)
30+
JLLWrappers.@declare_file_product(libnvshmem_device)
3131
JLLWrappers.@declare_executable_product(ptxas)
3232
function __init__()
3333
JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -150,11 +150,6 @@ function __init__()
150150
nothing,
151151
)
152152

153-
JLLWrappers.@init_file_product(
154-
libnvshmem_device,
155-
"lib/libnvshmem_device.bc",
156-
)
157-
158153
JLLWrappers.@init_library_product(
159154
libnvshmem_host,
160155
"lib/libnvshmem_host.so.3",
@@ -178,6 +173,11 @@ function __init__()
178173
"lib/cuda/bin/fatbinary",
179174
)
180175

176+
JLLWrappers.@init_file_product(
177+
libnvshmem_device,
178+
"lib/libnvshmem_device.bc",
179+
)
180+
181181
JLLWrappers.@init_executable_product(
182182
ptxas,
183183
"lib/cuda/bin/ptxas",

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

Lines changed: 13 additions & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -18,16 +18,16 @@ JLLWrappers.@declare_library_product(libcudnn_ops, "libcudnn_ops.so.9")
1818
JLLWrappers.@declare_library_product(libcufft, "libcufft.so.11")
1919
JLLWrappers.@declare_library_product(libcusolver, "libcusolver.so.11")
2020
JLLWrappers.@declare_library_product(libcusparse, "libcusparse.so.12")
21+
JLLWrappers.@declare_file_product(libdevice)
2122
JLLWrappers.@declare_library_product(libnccl, "libnccl.so.2")
2223
JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
2324
JLLWrappers.@declare_library_product(libnvrtc, "libnvrtc.so.12")
2425
JLLWrappers.@declare_library_product(libnvrtc_builtins, "libnvrtc-builtins.so.12.8")
2526
JLLWrappers.@declare_file_product(libnvshmem_device)
27+
JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
2628
JLLWrappers.@declare_library_product(nvshmem_bootstrap_uid, "nvshmem_bootstrap_uid.so.3")
2729
JLLWrappers.@declare_library_product(nvshmem_transport_ibrc, "nvshmem_transport_ibrc.so.3")
2830
JLLWrappers.@declare_executable_product(fatbinary)
29-
JLLWrappers.@declare_file_product(libdevice)
30-
JLLWrappers.@declare_library_product(libnvshmem_host, "libnvshmem_host.so.3")
3131
JLLWrappers.@declare_executable_product(ptxas)
3232
function __init__()
3333
JLLWrappers.@generate_init_header(CUDA_Driver_jll)
@@ -121,6 +121,11 @@ function __init__()
121121
nothing,
122122
)
123123

124+
JLLWrappers.@init_file_product(
125+
libdevice,
126+
"lib/cuda/nvvm/libdevice/libdevice.10.bc",
127+
)
128+
124129
JLLWrappers.@init_library_product(
125130
libnccl,
126131
"lib/libnccl.so.2",
@@ -150,6 +155,12 @@ function __init__()
150155
"lib/libnvshmem_device.bc",
151156
)
152157

158+
JLLWrappers.@init_library_product(
159+
libnvshmem_host,
160+
"lib/libnvshmem_host.so.3",
161+
nothing,
162+
)
163+
153164
JLLWrappers.@init_library_product(
154165
nvshmem_bootstrap_uid,
155166
"lib/nvshmem_bootstrap_uid.so",
@@ -167,17 +178,6 @@ function __init__()
167178
"lib/cuda/bin/fatbinary",
168179
)
169180

170-
JLLWrappers.@init_file_product(
171-
libdevice,
172-
"lib/cuda/nvvm/libdevice/libdevice.10.bc",
173-
)
174-
175-
JLLWrappers.@init_library_product(
176-
libnvshmem_host,
177-
"lib/libnvshmem_host.so.3",
178-
nothing,
179-
)
180-
181181
JLLWrappers.@init_executable_product(
182182
ptxas,
183183
"lib/cuda/bin/ptxas",

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