Comments (8)
Sure if it is already a tarball you can just add it to Artifacts.toml. If not we need to repackage it. Happy to guide a PR if you want to give it a shot.
from onnxruntime.jl.
If I understand right, all the binaries are available. And, number of supported architectures in general is much higher compared with the previous version. But, the first step - somebody have to upload these files to https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/
.
If you explain me how to do it, I can check ONNXRunTime with both Mac architectures. But I don't have other architectures. And, if you have some script for automation generating the following descriptions and check sums, it would be good to have it too:
[[onnxruntime_cpu]]
arch = "x86_64"
git-tree-sha1 = "f07f041b61f199fa853a0e66652633c2d9007478"
lazy = true
libc = "glibc"
os = "linux"
[[onnxruntime_cpu.download]]
sha256 = "f386ab80e9d6d41f14ed9e61bff4acc6bf375770691bc3ba883ba0ba3cabca7f"
url = "https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/v1.9.0-rc4/onnxruntime-linux-x64-1.9.0.tgz"
from onnxruntime.jl.
If I understand right, all the binaries are available. And, number of supported architectures in general is much higher compared with the previous version. But, the first step - somebody have to upload these files to https://github.com/jw3126/ONNXRunTimeArtifacts/releases/download/ .
Repackaging to ONNXRunTimeArtifacts should only be necessary for windows. The other binaries can be taken directly from
https://github.com/microsoft/onnxruntime/releases/tag/v1.13.1, see also #24.
from onnxruntime.jl.
With #24 merged, it should now be easier for you to add M1 support.
from onnxruntime.jl.
I use this script, in case you need to adapt it: https://github.com/jw3126/ONNXRunTimeArtifacts/blob/main/script.jl
from onnxruntime.jl.
Thanks, but a minor fix for the script:
(
artifact_name="onnxruntime_cpu",
download_name="onnxruntime-osx-universal2-$version.tgz",
platform=Pkg.Artifacts.Platform("x86_64", "macos"),
version=version,
),
(
artifact_name="onnxruntime_cpu",
download_name="onnxruntime-osx-universal2-$version.tgz",
platform=Pkg.Artifacts.Platform("aarch64", "macos"),
version=version,
),
from onnxruntime.jl.
and, with #25 that works on M1.
from onnxruntime.jl.
fixed by #25 if some issues remain, please reopen.
from onnxruntime.jl.
Related Issues (14)
- TagBot trigger issue HOT 13
- windows support HOT 1
- osx support
- Contribution: JLL for support for additional platforms HOT 17
- multi-thread friendly? HOT 6
- Loading existing model test data? HOT 1
- Error: could not load library ... onnxruntime.dll ... The specified module could not be found. HOT 3
- Incorrect results for matrix multiplication HOT 7
- CUDA 4.0 compatibility HOT 6
- Can't load simple model (with 8bit and 16bit inputs) HOT 5
- Privacy - tracking - data collection HOT 3
- Manual release of memory HOT 1
- Incompatibility with cuDNN 1.3.1 HOT 1
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