| Port details |
- onnxruntime Cross-platform, high performance ML inferencing & training accelerator
- 1.18.2_1 misc
 =0      1.18.2_1Version of this port present on the latest quarterly branch. - Maintainer: yuri@FreeBSD.org
- Port Added: 2024-10-07 08:57:08
- Last Update: 2024-12-23 01:44:17
- Commit Hash: 8f6474d
- License: MIT
- WWW:
- https://onnxruntime.ai/
- Description:
- ONNX Runtime is a cross-platform inference and training machine-learning
accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs,
supporting models from deep learning frameworks such as PyTorch and
TensorFlow/Keras as well as classical machine learning libraries such as
scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different
hardware, drivers, and operating systems, and provides optimal performance by
leveraging hardware accelerators where applicable alongside graph optimizations
and transforms.
ONNX Runtime training can accelerate the model training time on multi-node
NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch
training scripts.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - Dependency lines:
-
- onnxruntime>0:misc/onnxruntime
- Conflicts:
- CONFLICTS_BUILD:
- abseil
- benchmark
- nsync
- googletest
- dlpack
- flatbuffers
- gsl
- mimalloc
- nlohmann-json
- onnx
- protobuf
- psimd
- pthreadpool
- pybind11
- re2
- To install the port:
- cd /usr/ports/misc/onnxruntime/ && make install clean
- To add the package, run one of these commands:
- pkg install misc/onnxruntime
- pkg install onnxruntime
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.- PKGNAME: onnxruntime
- Flavors: there is no flavor information for this port.
- distinfo:
- TIMESTAMP = 1728269378
SHA256 (onnxruntime/f46495ea96f68fc3f6c394f099b2992743f6ff7f.zip) = c66911f9b09c606fdfcbcc45b706da7297aac4c81c9bd5720c8b9985ef70f805
SIZE (onnxruntime/f46495ea96f68fc3f6c394f099b2992743f6ff7f.zip) = 3293341
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- gpatch : devel/patch
- cmake : devel/cmake-core
- ninja : devel/ninja
- python3.11 : lang/python311
- Library dependencies:
-
- libabsl_base.so : devel/abseil
- There are no ports dependent upon this port
Configuration Options:- No options to configure
- Options name:
- misc_onnxruntime
- USES:
- cmake:testing compiler:c++11-lang python:build
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
1.18.2_1
23 Dec 2024 01:44:17
 |
Yuri Victorovich (yuri) |
misc/onnxruntime: Broken on aarch64
Reported by: fallout |
1.18.2_1
11 Oct 2024 10:27:02
|
Yuri Victorovich (yuri) |
misc/onnxruntime: Remove comment
All tests pass. |
1.18.2_1
11 Oct 2024 10:23:54
|
Yuri Victorovich (yuri) |
misc/onnxruntime: Broken on i386
Reported by: fallout |
1.18.2_1
09 Oct 2024 09:41:58
|
Yuri Victorovich (yuri) |
misc/onnxruntime: Minor correction |
1.18.2_1
09 Oct 2024 03:17:32
|
Yuri Victorovich (yuri) |
misc/onnxruntime: Remove BUILD_SHARED_LIBS; Add CONFLICTS_BUILD
All tests except for one succeed now. |
1.18.2
07 Oct 2024 08:55:42
|
Yuri Victorovich (yuri) |
misc/onnxruntime: New port: Cross-platform, high performance ML inferencing &
training accelerator |
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