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author | lilac | 2022-03-27 05:57:13 +0800 |
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committer | lilac | 2022-03-27 05:57:13 +0800 |
commit | c330b70c18ba50e13ad13a6dc2517d2443d5e946 (patch) | |
tree | a03594073e5f33a7a93230545ea79440af3b49e8 | |
parent | c898b1b9522d06ac66035882c1ae469d3ab38960 (diff) | |
download | aur-c330b70c18ba50e13ad13a6dc2517d2443d5e946.tar.gz |
[lilac] updated to 1.11.0-1
-rw-r--r-- | .SRCINFO | 6 | ||||
-rw-r--r-- | PKGBUILD | 4 |
2 files changed, 5 insertions, 5 deletions
@@ -1,7 +1,7 @@ pkgbase = python-onnxruntime pkgdesc = Cross-platform, high performance scoring engine for ML models - pkgver = 1.10.0 - pkgrel = 4 + pkgver = 1.11.0 + pkgrel = 1 url = https://github.com/microsoft/onnxruntime arch = x86_64 license = MIT @@ -37,7 +37,7 @@ pkgbase = python-onnxruntime optdepends = python-h5py: for orttraining optdepends = python-sympy: for transformers and various tools options = !lto - source = git+https://github.com/microsoft/onnxruntime#tag=v1.10.0 + source = git+https://github.com/microsoft/onnxruntime#tag=v1.11.0 source = git+https://github.com/onnx/onnx.git source = git+https://github.com/dcleblanc/SafeInt.git source = git+https://github.com/tensorflow/tensorboard.git @@ -4,9 +4,9 @@ pkgbase=python-onnxruntime # Not split DNNL EP to another package as it's needed unconditionally at runtime if built at compile time # https://github.com/microsoft/onnxruntime/blob/v1.9.1/onnxruntime/python/onnxruntime_pybind_state.cc#L533 pkgname=(python-onnxruntime python-onnxruntime-cuda) -pkgver=1.10.0 +pkgver=1.11.0 pkgdesc='Cross-platform, high performance scoring engine for ML models' -pkgrel=4 +pkgrel=1 arch=(x86_64) url='https://github.com/microsoft/onnxruntime' license=(MIT) |