saymrwulf/onnxruntime
1
0
Fork 0
mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-07-29 20:14:01 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Added the OpenVINO Release support details (#12264)

Browse source 
* Added the OV support details

* Modify torch-ort-infer package

* Update OpenVINO-ExecutionProvider.md

Co-authored-by: Preetha <preetha.veeramalai@intel.com>
This commit is contained in:
mayavijx 2022-07-28 21:32:14 +05:30 committed by GitHub
parent ebf1ed8c74
commit 0673a88d4f
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
docs/execution-providers/OpenVINO-ExecutionProvider.md
View file

@ -26,6 +26,8 @@ Pre-built packages and Docker images are published for OpenVINO™ Execution Pro
## Requirements
ONNX Runtime OpenVINO™ Execution Provider is compatible with three lastest releases of OpenVINO™.
|ONNX Runtime|OpenVINO™|Notes|
|---|---|---|
|1.11.0|2022.1|[Details](https://github.com/intel/onnxruntime/releases/tag/v4.0)|
@ -573,4 +575,4 @@ In order to showcase what you can do with the OpenVINO™ Execution Provider for
## Accelerate inference for PyTorch models with OpenVINO Execution Provider (Preview)
ONNX Runtime for PyTorch is now extended to support PyTorch model inference using ONNX Runtime.
It is available via the torch-ort-inference python package. This preview package enables OpenVINO™ Execution Provider for ONNX Runtime by default for accelerating inference on various Intel® CPUs, Intel® integrated GPUs, and Intel® Movidius™ Vision Processing Units - referred to as VPU. For more details, see [torch-ort-inference](https://github.com/pytorch/ort#accelerate-inference-for-pytorch-models-with-onnx-runtime-preview).
It is available via the torch-ort-infer python package. This preview package enables OpenVINO™ Execution Provider for ONNX Runtime by default for accelerating inference on various Intel® CPUs, Intel® integrated GPUs, and Intel® Movidius™ Vision Processing Units - referred to as VPU. For more details, see [torch-ort-infer](https://github.com/pytorch/ort#accelerate-inference-for-pytorch-models-with-onnx-runtime-preview).