Update onnxruntime to 1.20.1

.github/workflows/CI.yml

@@ -10,7 +10,7 @@ jobs:
       fail-fast: false
       matrix:
         version:
-          - '1.9'
+          - '1.10'
           - '1'
           - 'nightly'
         os:

Artifacts.toml

@@ -1,57 +1,57 @@
 [[onnxruntime_cpu]]
 arch = "x86_64"
-git-tree-sha1 = "ee0b3b47cb5c295d8e2df9b704d472fa827fbb59"
+git-tree-sha1 = "03ca4920f8c66efacaa58cdb30ee6da83b7a40e0"
 lazy = true
 os = "windows"
 
     [[onnxruntime_cpu.download]]
-    sha256 = "f132ee57ab970c496f08e344bef60f03d3cf61475c93628feef2a1ac94e88aa1"
-    url = "https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/v1.15.1-rc1/onnxruntime-win-x64-1.15.1.tgz"
+    sha256 = "0dbe0bb59e2c000d9b331d1dfd2a61a7af2cfea1d5391d369fcd8d3ea504b3b8"
+    url = "https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/v1.20.1-rc1/onnxruntime-win-x64-1.20.1.tgz"
 [[onnxruntime_cpu]]
 arch = "x86_64"
-git-tree-sha1 = "fe904e447d592a9cf7aaac236a58a94f91f761d1"
+git-tree-sha1 = "7a5a70a99ed5931ff451b6e70a29944cd3d4b54d"
 lazy = true
 libc = "glibc"
 os = "linux"
 
     [[onnxruntime_cpu.download]]
-    sha256 = "5492f9065f87538a286fb04c8542e9ff7950abb2ea6f8c24993a940006787d87"
-    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.15.1/onnxruntime-linux-x64-1.15.1.tgz"
+    sha256 = "67db4dc1561f1e3fd42e619575c82c601ef89849afc7ea85a003abbac1a1a105"
+    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.20.1/onnxruntime-linux-x64-1.20.1.tgz"
 [[onnxruntime_cpu]]
 arch = "x86_64"
-git-tree-sha1 = "fcb94c1a37609b80bf69b143bfcd60b0ff1fbef1"
+git-tree-sha1 = "4652621efdd6d8c61987734403a7e7e1fff19079"
 lazy = true
 os = "macos"
 
     [[onnxruntime_cpu.download]]
-    sha256 = "ecb7651c216fe6ffaf4c578e135d98341bc5bc944c5dc6b725ef85b0d7747be0"
-    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.15.1/onnxruntime-osx-universal2-1.15.1.tgz"
+    sha256 = "da4349e01a7e997f5034563183c7183d069caadc1d95f499b560961787813efd"
+    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.20.1/onnxruntime-osx-universal2-1.20.1.tgz"
 [[onnxruntime_cpu]]
 arch = "aarch64"
-git-tree-sha1 = "fcb94c1a37609b80bf69b143bfcd60b0ff1fbef1"
+git-tree-sha1 = "9f203a6745ce1e17f0afb8528688b95d1791d851"
 lazy = true
 os = "macos"
 
     [[onnxruntime_cpu.download]]
-    sha256 = "ecb7651c216fe6ffaf4c578e135d98341bc5bc944c5dc6b725ef85b0d7747be0"
-    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.15.1/onnxruntime-osx-universal2-1.15.1.tgz"
+    sha256 = "b678fc3c2354c771fea4fba420edeccfba205140088334df801e7fc40e83a57a"
+    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.20.1/onnxruntime-osx-arm64-1.20.1.tgz"
 
 [[onnxruntime_gpu]]
 arch = "x86_64"
-git-tree-sha1 = "68acc458450c6cff16f55c8cedba213f1eeeb678"
+git-tree-sha1 = "9740e9c731f3aeaa8ea93e25a787e91cf8f64bd7"
 lazy = true
 os = "windows"
 
     [[onnxruntime_gpu.download]]
-    sha256 = "94aea5b7ec2ffeecca8225816116922cab7ce0f4f2a5516c28e241cdbf4c04db"
-    url = "https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/v1.15.1-rc1/onnxruntime-win-x64-gpu-1.15.1.tgz"
+    sha256 = "622828adb36268ce58d69eade91827d92354388f6e6a3be777fffe54acab84a2"
+    url = "https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/v1.20.1-rc1/onnxruntime-win-x64-gpu-1.20.1.tgz"
 [[onnxruntime_gpu]]
 arch = "x86_64"
-git-tree-sha1 = "d7e3cdf6598724d24e8f854817c6e71a1f6fe57e"
+git-tree-sha1 = "478f998b8d737218ef0cc06d26e91288d1e72f3b"
 lazy = true
 libc = "glibc"
 os = "linux"
 
     [[onnxruntime_gpu.download]]
-    sha256 = "eab891393025edd5818d1aa26a42860e5739fcc49e3ca3f876110ec8736fe7f1"
-    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.15.1/onnxruntime-linux-x64-gpu-1.15.1.tgz"
+    sha256 = "6bfb87c6ebe55367a94509b8ef062239e188dccf8d5caac8d6909b2344893bf0"
+    url = "https://github.com/microsoft/onnxruntime/releases/download/v1.20.1/onnxruntime-linux-x64-gpu-1.20.1.tgz"

Project.toml

@@ -1,7 +1,7 @@
 name = "ONNXRunTime"
 uuid = "e034b28e-924e-41b2-b98f-d2bbeb830c6a"
 authors = ["Jan Weidner <[email protected]> and contributors"]
-version = "1.2.0"
+version = "1.3.0"
 
 [deps]
 ArgCheck = "dce04be8-c92d-5529-be00-80e4d2c0e197"
@@ -18,8 +18,8 @@ CEnum = "0.4, 0.5"
 CUDA = "4, 5"
 DataStructures = "0.18"
 DocStringExtensions = "0.8, 0.9"
-cuDNN = "~1.1, ~1.2, =1.3.0"
-julia = "1.9"
+cuDNN = "~1.3, ~1.4"
+julia = "1.10"
 
 [extensions]
 CUDAExt = ["CUDA", "cuDNN"]

README.md

@@ -30,15 +30,15 @@ Dict{String, Matrix{Float32}} with 1 entry:
 ```
 
 For GPU usage the CUDA and cuDNN packages are required and the CUDA
-runtime needs to be set to 11.8 or a later 11.x version. To set this
+runtime needs to be set to 12.0 or a later 12.x version. To set this
 up, do
 
 ```julia
 pkg> add CUDA cuDNN
 
 julia> import CUDA
 
-julia> CUDA.set_runtime_version!(v"11.8")
+julia> CUDA.set_runtime_version!(v"12.0")
 ```
 
 Then GPU inference is simply
@@ -109,14 +109,14 @@ and import CUDA and cuDNN. Additionally a supported CUDA runtime
 version needs to be used, which can be somewhat tricky to set up for
 the tests.
 
-First some background. What `CUDA.set_runtime_version!(v"11.8")`
+First some background. What `CUDA.set_runtime_version!(v"12.0")`
 effectively does is to
 
 1. Add a `LocalPreferences.toml` file containing
 
 ```
 [CUDA_Runtime_jll]
-version = "11.8"
+version = "12.0"
 ```
 
 2. In `Project.toml`, add

src/versions.jl

@@ -16,6 +16,6 @@
 #   is *not* accepted. Presumably CUDA runtime follows semantic
 #   versioning so this can automatically be set to the next major
 #   version.
-const onnxruntime_version = v"1.15.1"
-const cuda_runtime_supported_version = v"11.8"
+const onnxruntime_version = v"1.20.1"
+const cuda_runtime_supported_version = v"12.0"
 const cuda_runtime_upper_bound = VersionNumber(cuda_runtime_supported_version.major + 1)

test/LocalPreferences.toml

@@ -1,2 +1,2 @@
 [CUDA_Runtime_jll]
-version = "11.8"
+version = "12.0"

test/Project.toml

@@ -5,7 +5,7 @@ cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
 
 [compat]
 CUDA = "5"
-cuDNN = "1.2"
+cuDNN = "1.4"
 
 [extras]
 CUDA_Runtime_jll = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"