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* Updated TPN
* Update batch_norm_op_test.cc
* Update ThirdPartyNotices.txt
* Update ThirdPartyNotices.txt
* Update readme with package links
* Update README.md
* Update README.md
* Update README.md
* Merged Ryan and TPN changes into single PR
* minor fix
* added mkldnn to GPU pipeline. Required by C# library as it is the default execution provider
Copy file name to clipboardexpand all lines: README.md
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### Alignment with ONNX Releases
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ONNX Runtime provides comprehensive support of the ONNX spec and can be used to run all models based on ONNX v1.2.1 and higher. See ONNX version release details [here](https://github.com/onnx/onnx/releases).
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As of November 2018, ONNX Runtime supports the latest released version of ONNX (1.3). Once 1.4 is released, ONNX Runtime will align with the updated spec, adding support for new operators and other capabilities.
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As of January 2019, ONNX Runtime supports ONNX 1.3. We will soon add support for the recently released ONNX 1.4.
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### Traditional ML support
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ONNX Runtime fully supports the ONNX-ML profile of the ONNX spec for traditional ML scenarios.
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## Cross Platform
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ONNX Runtime offers:
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* APIs for Python, C#, and C (experimental)
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* APIs for Python, C#, and C
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* Available for Linux, Windows, and Mac
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See API documentation and package installation instructions [below](#Installation).
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Looking ahead: To broaden the reach of the runtime, we will continue investments to make ONNX Runtime available and compatible with more platforms. These include but are not limited to:
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* C# for Linux, Mac
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* C# supporting GPU
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* C packages
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* C# for Mac
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*[ARM](BUILD.md##arm-builds)
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# Getting Started
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