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1. Reflect int8 GEMV improvements for multi-threading from #2696 2. Add notes on multi-threading control using OpenMP 3. Add samples of running multi-isa AOT, and show int8 GEMM differences between AVX and AVX2 4. Add rnn_benchmark example to resolve #1993 |
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| .. | ||
| _templates | ||
| examples | ||
| notebooks | ||
| api_summary.rst | ||
| conf.py | ||
| examples_md.rst | ||
| index.rst | ||
| ONNX_Runtime_icon.png | ||
| README.rst | ||
| tutorial.rst | ||
ONNX Runtime ============ ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models. For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_ or the `Github project <https://github.com/microsoft/onnxruntime/>`_. Changes ------- 1.1.0 ^^^^^ Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.1.0 1.0.0 ^^^^^ Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.0.0 0.5.0 ^^^^^ Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v0.5.0 0.4.0 ^^^^^ Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v0.4.0