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Reactant_jll build 0.0.214+0
1 parent fe4fb24 commit 964a3e9

7 files changed

+377
-29
lines changed

‎.pkg/platform_augmentation.jl

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -30,7 +30,7 @@ else
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end
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const cuda_version_preference = if haskey(preferences, "cuda_version")
33-
expected = ("none", "12.6")
33+
expected = ("none", "12.1", "12.4", "12.6")
3434
if isa(preferences["cuda_version"], String) && preferences["cuda_version"] in expected
3535
preferences["cuda_version"]
3636
else

‎Artifacts.toml

Lines changed: 46 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -2,79 +2,107 @@
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arch = "x86_64"
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cuda_version = "none"
44
cxxstring_abi = "cxx11"
5-
git-tree-sha1 = "f6a6b4141edfe53db95c55c18ff0ff4e6c8ca8a5"
5+
git-tree-sha1 = "e36b8e073d69e516d376e9e2dfb6b0cecaa8c483"
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gpu = "none"
77
lazy = true
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libc = "glibc"
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mode = "opt"
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os = "linux"
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1212
[[Reactant.download]]
13-
sha256 = "0eff751ac2b97f1440a3b5e491c502802e22e854b58c01ae7d84a7068d2bc80e"
14-
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.213+0/Reactant.v0.0.213.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.gz"
13+
sha256 = "f265e26d8d8295346de731d7067611c9ac02dfab558ac94fd64f057b0ea39f3a"
14+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.x86_64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.gz"
1515
[[Reactant]]
1616
arch = "aarch64"
1717
cuda_version = "none"
1818
cxxstring_abi = "cxx11"
19-
git-tree-sha1 = "e2cdbe18ef4c29da315a3bae8cb5c8f43c4d37e0"
19+
git-tree-sha1 = "de55f7905436d0d6815197da0e23ab3e63d46660"
2020
gpu = "none"
2121
lazy = true
2222
libc = "glibc"
2323
mode = "opt"
2424
os = "linux"
2525

2626
[[Reactant.download]]
27-
sha256 = "10b3c29640c41030a7a8c05767606076009cc8b6dcd27cec97d98ed5a80ee54d"
28-
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.213+0/Reactant.v0.0.213.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.gz"
27+
sha256 = "4f52b11c8d302f065fed5d516ef2cce3811e480374dabce39ff30df66013fa8c"
28+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.aarch64-linux-gnu-cxx11-cuda_version+none-gpu+none-mode+opt.tar.gz"
2929
[[Reactant]]
3030
arch = "x86_64"
3131
cuda_version = "none"
32-
git-tree-sha1 = "98ed0343e86434c823f90d6b79d495f4b1ab26d8"
32+
git-tree-sha1 = "8524f34c461d1461cf431831fcf655796fd697c0"
3333
gpu = "none"
3434
lazy = true
3535
mode = "opt"
3636
os = "macos"
3737

3838
[[Reactant.download]]
39-
sha256 = "97e67194c7c1ddc14365051b8cd15e0169956b754995ae1ad7b2f0d3eba8c41c"
40-
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.213+0/Reactant.v0.0.213.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.gz"
39+
sha256 = "adfea320025fcdd6756f18a065b52fd377a756d348cec14640169c2edfb8e4c5"
40+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.x86_64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.gz"
4141
[[Reactant]]
4242
arch = "aarch64"
4343
cuda_version = "none"
44-
git-tree-sha1 = "62936394dc183e1785a8c6992f99bb0c7445861d"
44+
git-tree-sha1 = "f50cc8515ccb9d4e7695da85d3dd1b057cbfe9f3"
4545
gpu = "none"
4646
lazy = true
4747
mode = "opt"
4848
os = "macos"
4949

5050
[[Reactant.download]]
51-
sha256 = "c3df0e02542911b06fa78a3a1491fcfdfb0eef8afc1c0059e786dea04909cb8e"
52-
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.213+0/Reactant.v0.0.213.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.gz"
51+
sha256 = "4a494017a5dee40ccdaaa12d4da6f0133eb97ece092cc6e8d3ab599f6a66dbbc"
52+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.aarch64-apple-darwin-cuda_version+none-gpu+none-mode+opt.tar.gz"
53+
[[Reactant]]
54+
arch = "x86_64"
55+
cuda_version = "12.1"
56+
cxxstring_abi = "cxx11"
57+
git-tree-sha1 = "2937995188898ae0636da2e4dadf648fba23f3fb"
58+
gpu = "cuda"
59+
lazy = true
60+
libc = "glibc"
61+
mode = "opt"
62+
os = "linux"
63+
64+
[[Reactant.download]]
65+
sha256 = "2ea9a3aee11dcd9375df2d85ee75ff5f5fac93885c90059b4b5a2e00ac84410a"
66+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.x86_64-linux-gnu-cxx11-cuda_version+12.1-gpu+cuda-mode+opt.tar.gz"
67+
[[Reactant]]
68+
arch = "x86_64"
69+
cuda_version = "12.4"
70+
cxxstring_abi = "cxx11"
71+
git-tree-sha1 = "008975f3a025de67b444936661ddd65717acde42"
72+
gpu = "cuda"
73+
lazy = true
74+
libc = "glibc"
75+
mode = "opt"
76+
os = "linux"
77+
78+
[[Reactant.download]]
79+
sha256 = "e0b17ed9137954665e5e52680a4017328809ba20c6a1d56e34282cb148955624"
80+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.x86_64-linux-gnu-cxx11-cuda_version+12.4-gpu+cuda-mode+opt.tar.gz"
5381
[[Reactant]]
5482
arch = "x86_64"
5583
cuda_version = "12.6"
5684
cxxstring_abi = "cxx11"
57-
git-tree-sha1 = "d28b117c259bcb3c6e5307157a29f5b054903d04"
85+
git-tree-sha1 = "6cc825f44563c6f93eec3d32db1085d17c2d4e51"
5886
gpu = "cuda"
5987
lazy = true
6088
libc = "glibc"
6189
mode = "opt"
6290
os = "linux"
6391

6492
[[Reactant.download]]
65-
sha256 = "ebe6714ecee92cf23c6b0c9c84701e48eea0875acb87d295a9522cc687d0a95e"
66-
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.213+0/Reactant.v0.0.213.x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.gz"
93+
sha256 = "1065410388d68194a30d5faa60865a8223c5a48b893a33710ba51e5976988ab2"
94+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.x86_64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.gz"
6795
[[Reactant]]
6896
arch = "aarch64"
6997
cuda_version = "12.6"
7098
cxxstring_abi = "cxx11"
71-
git-tree-sha1 = "95d1480fb046a62e5fba7649e174336686007546"
99+
git-tree-sha1 = "d5130aaeb92ff0ee248b1ddbff1b772050f46c8f"
72100
gpu = "cuda"
73101
lazy = true
74102
libc = "glibc"
75103
mode = "opt"
76104
os = "linux"
77105

78106
[[Reactant.download]]
79-
sha256 = "c8bfebdcf32c6a83714acf869bfe82ceb9c607d4aabf0b912c3da956753bc51f"
80-
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.213+0/Reactant.v0.0.213.aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.gz"
107+
sha256 = "36e3ef7d12f7fc7a720addbf36ff3669bfb23b6e0e36b243347322726cd1d9ef"
108+
url = "https://github.com/JuliaBinaryWrappers/Reactant_jll.jl/releases/download/Reactant-v0.0.214+0/Reactant.v0.0.214.aarch64-linux-gnu-cxx11-cuda_version+12.6-gpu+cuda-mode+opt.tar.gz"

‎Project.toml

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
name = "Reactant_jll"
22
uuid = "0192cb87-2b54-54ad-80e0-3be72ad8a3c0"
3-
version = "0.0.213+0"
3+
version = "0.0.214+0"
44

55
[deps]
66
JLLWrappers = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"

‎README.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,10 +1,10 @@
1-
# `Reactant_jll.jl` (v0.0.213+0)
1+
# `Reactant_jll.jl` (v0.0.214+0)
22

33
[![deps](https://juliahub.com/docs/Reactant_jll/deps.svg)](https://juliahub.com/ui/Packages/General/Reactant_jll/)
44

55
This is an autogenerated package constructed using [`BinaryBuilder.jl`](https://github.com/JuliaPackaging/BinaryBuilder.jl).
66

7-
The originating [`build_tarballs.jl`](https://github.com/JuliaPackaging/Yggdrasil/blob/7af23e8fad0e7ebc67f5042ac8e5b706447ea071/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/e041b39318d17536738e2883fb611b92ff8490a9/R/Reactant/build_tarballs.jl) script can be found on [`Yggdrasil`](https://github.com/JuliaPackaging/Yggdrasil/), the community build tree.
88

99
## Bug Reports
1010

@@ -18,7 +18,7 @@ For more details about JLL packages and how to use them, see `BinaryBuilder.jl`
1818

1919
The tarballs for `Reactant_jll.jl` have been built from these sources:
2020

21-
* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `667610bf84930f6ef89041e8040277e70f5899ac`)
21+
* git repository: https://github.com/EnzymeAD/Reactant.jl.git (revision: `2072e5bf5de5de704c79d8bc8694c2c393033a9f`)
2222
* 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`)
2323
* 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`)
2424
* compressed archive: https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-sbsa/cuda_nvcc-linux-sbsa-12.6.85-archive.tar.xz (SHA256 checksum: `1b834df41cb071884f33b1e4ffc185e4799975057baca57d80ba7c4591e67950`)

‎src/wrappers/x86_64-linux-gnu-cxx11-cuda_version+12.1-gpu+cuda-mode+opt.jl

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@@ -0,0 +1,160 @@
1+
# Autogenerated wrapper script for Reactant_jll for x86_64-linux-gnu-cxx11-cuda_version+12.1-gpu+cuda-mode+opt
2+
export fatbinary, libReactantExtra, libcublas, libcublasLt, libcudart, libcudnn, libcudnn_adv, libcudnn_cnn, libcudnn_engines_precompiled, libcudnn_engines_runtime_compiled, libcudnn_graph, libcudnn_heuristic, libcudnn_ops, libcufft, libcusolver, libcusparse, libdevice, libnccl, libnvJitLink, libnvrtc, libnvrtc_builtins, ptxas
3+
4+
using CUDA_Driver_jll
5+
JLLWrappers.@generate_wrapper_header("Reactant")
6+
JLLWrappers.@declare_library_product(libReactantExtra, "libReactantExtra.so")
7+
JLLWrappers.@declare_library_product(libcublas, "libcublas.so.12")
8+
JLLWrappers.@declare_library_product(libcublasLt, "libcublasLt.so.12")
9+
JLLWrappers.@declare_library_product(libcudart, "libcudart.so.12")
10+
JLLWrappers.@declare_library_product(libcudnn, "libcudnn.so.9")
11+
JLLWrappers.@declare_library_product(libcudnn_adv, "libcudnn_adv.so.9")
12+
JLLWrappers.@declare_library_product(libcudnn_cnn, "libcudnn_cnn.so.9")
13+
JLLWrappers.@declare_library_product(libcudnn_engines_precompiled, "libcudnn_engines_precompiled.so.9")
14+
JLLWrappers.@declare_library_product(libcudnn_engines_runtime_compiled, "libcudnn_engines_runtime_compiled.so.9")
15+
JLLWrappers.@declare_library_product(libcudnn_graph, "libcudnn_graph.so.9")
16+
JLLWrappers.@declare_library_product(libcudnn_heuristic, "libcudnn_heuristic.so.9")
17+
JLLWrappers.@declare_library_product(libcudnn_ops, "libcudnn_ops.so.9")
18+
JLLWrappers.@declare_library_product(libcufft, "libcufft.so.11")
19+
JLLWrappers.@declare_library_product(libcusolver, "libcusolver.so.11")
20+
JLLWrappers.@declare_library_product(libcusparse, "libcusparse.so.12")
21+
JLLWrappers.@declare_file_product(libdevice)
22+
JLLWrappers.@declare_library_product(libnccl, "libnccl.so.2")
23+
JLLWrappers.@declare_library_product(libnvJitLink, "libnvJitLink.so.12")
24+
JLLWrappers.@declare_library_product(libnvrtc, "libnvrtc.so.12")
25+
JLLWrappers.@declare_library_product(libnvrtc_builtins, "libnvrtc-builtins.so.12.1")
26+
JLLWrappers.@declare_executable_product(fatbinary)
27+
JLLWrappers.@declare_executable_product(ptxas)
28+
function __init__()
29+
JLLWrappers.@generate_init_header(CUDA_Driver_jll)
30+
JLLWrappers.@init_library_product(
31+
libReactantExtra,
32+
"lib/libReactantExtra.so",
33+
RTLD_LAZY | RTLD_DEEPBIND,
34+
)
35+
36+
JLLWrappers.@init_library_product(
37+
libcublas,
38+
"lib/libcublas.so.12",
39+
nothing,
40+
)
41+
42+
JLLWrappers.@init_library_product(
43+
libcublasLt,
44+
"lib/libcublasLt.so.12",
45+
nothing,
46+
)
47+
48+
JLLWrappers.@init_library_product(
49+
libcudart,
50+
"lib/libcudart.so.12",
51+
nothing,
52+
)
53+
54+
JLLWrappers.@init_library_product(
55+
libcudnn,
56+
"lib/libcudnn.so.9",
57+
nothing,
58+
)
59+
60+
JLLWrappers.@init_library_product(
61+
libcudnn_adv,
62+
"lib/libcudnn_adv.so.9",
63+
nothing,
64+
)
65+
66+
JLLWrappers.@init_library_product(
67+
libcudnn_cnn,
68+
"lib/libcudnn_cnn.so.9",
69+
nothing,
70+
)
71+
72+
JLLWrappers.@init_library_product(
73+
libcudnn_engines_precompiled,
74+
"lib/libcudnn_engines_precompiled.so.9",
75+
nothing,
76+
)
77+
78+
JLLWrappers.@init_library_product(
79+
libcudnn_engines_runtime_compiled,
80+
"lib/libcudnn_engines_runtime_compiled.so.9",
81+
nothing,
82+
)
83+
84+
JLLWrappers.@init_library_product(
85+
libcudnn_graph,
86+
"lib/libcudnn_graph.so.9",
87+
nothing,
88+
)
89+
90+
JLLWrappers.@init_library_product(
91+
libcudnn_heuristic,
92+
"lib/libcudnn_heuristic.so.9",
93+
nothing,
94+
)
95+
96+
JLLWrappers.@init_library_product(
97+
libcudnn_ops,
98+
"lib/libcudnn_ops.so.9",
99+
nothing,
100+
)
101+
102+
JLLWrappers.@init_library_product(
103+
libcufft,
104+
"lib/libcufft.so.11",
105+
nothing,
106+
)
107+
108+
JLLWrappers.@init_library_product(
109+
libcusolver,
110+
"lib/libcusolver.so.11",
111+
nothing,
112+
)
113+
114+
JLLWrappers.@init_library_product(
115+
libcusparse,
116+
"lib/libcusparse.so.12",
117+
nothing,
118+
)
119+
120+
JLLWrappers.@init_file_product(
121+
libdevice,
122+
"lib/cuda/nvvm/libdevice/libdevice.10.bc",
123+
)
124+
125+
JLLWrappers.@init_library_product(
126+
libnccl,
127+
"lib/libnccl.so.2",
128+
nothing,
129+
)
130+
131+
JLLWrappers.@init_library_product(
132+
libnvJitLink,
133+
"lib/libnvJitLink.so.12",
134+
nothing,
135+
)
136+
137+
JLLWrappers.@init_library_product(
138+
libnvrtc,
139+
"lib/libnvrtc.so.12",
140+
nothing,
141+
)
142+
143+
JLLWrappers.@init_library_product(
144+
libnvrtc_builtins,
145+
"lib/libnvrtc-builtins.so.12.1",
146+
nothing,
147+
)
148+
149+
JLLWrappers.@init_executable_product(
150+
fatbinary,
151+
"lib/cuda/bin/fatbinary",
152+
)
153+
154+
JLLWrappers.@init_executable_product(
155+
ptxas,
156+
"lib/cuda/bin/ptxas",
157+
)
158+
159+
JLLWrappers.@generate_init_footer()
160+
end # __init__()

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