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bump up ORT version and extend time limit for windows cpu packaging pipelines (#3852)
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7 changed files with 11 additions and 5 deletions
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@ -1 +1 @@
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1.2.0
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1.3.0
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@ -26,6 +26,7 @@ For more details on ONNX Release versions, see [this page](https://github.com/on
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| ONNX Runtime release version | ONNX release version | ONNX opset version | ONNX ML opset version | Supported ONNX IR version | [WinML compatibility](https://docs.microsoft.com/en-us/windows/ai/windows-ml/)|
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|------------------------------|--------------------|--------------------|----------------------|------------------|------------------|
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| 1.3.0 | **1.6** down to 1.2 | 11 | 2 | 6 | -- |
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| 1.2.0<br>1.1.2<br>1.1.1<br>1.1.0 | **1.6** down to 1.2 | 11 | 2 | 6 | -- |
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| 1.0.0 | **1.6** down to 1.2 | 11 | 2 | 6 | -- |
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| 0.5.0 | **1.5** down to 1.2 | 10 | 1 | 5 | -- |
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@ -8,6 +8,11 @@ For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://ak
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Changes
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-------
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1.3.0
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^^^^^
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Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.3.0
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1.2.0
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^^^^^
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@ -6,7 +6,7 @@
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ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models.
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For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_ or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
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"""
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__version__ = "1.2.0"
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__version__ = "1.3.0"
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__author__ = "Microsoft"
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from onnxruntime.capi._pybind_state import get_all_providers, get_available_providers, get_device, set_seed, RunOptions, SessionOptions, set_default_logger_severity, NodeArg, ModelMetadata, GraphOptimizationLevel, ExecutionMode, OrtDevice, SessionIOBinding
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@ -1,5 +1,5 @@
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Name: onnxruntime
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Version: 1.2.0
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Version: 1.3.0
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Release: 1%{?dist}
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Summary: onnxruntime
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@ -76,7 +76,7 @@ jobs:
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workspace:
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clean: all
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pool: 'Win-CPU-2019'
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timeoutInMinutes: 120
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timeoutInMinutes: 160
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strategy:
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maxParallel: 2
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matrix:
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@ -19,7 +19,7 @@ parameters:
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RunTests : 'true'
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jobs:
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- job: ${{ parameters.JobName }}
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timeoutInMinutes: 120
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timeoutInMinutes: 160
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strategy:
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maxParallel: 2
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matrix:
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