Add release notes for v2.4.0 and update version #1514
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MaximProshin
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kshpv,
ljaljushkin,
AlexKoff88 and
alexsu52
kshpv
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MaximProshin
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| Added an [example script](examples/post_training_quantization/onnx/mobilenet_v2) demonstrating the ONNX post-training quantization on MobileNetV2. | ||
| - Common post-training quantization API across the supported framework model formats (PyTorch, TensorFlow, ONNX, OpenVINO IR) via the `nncf.quantize(...)` function. | ||
| The parameter set of the function is the same for all frameworks - actual framework-specific implementations are being dispatched based on the type of the model object argument. | ||
| - (PyTorch, TensorFlow) Improved the adaptive compression training functionality to reduce effective training time. |
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- Preview release of OpenVINO framework support. NNCF may now be used for post-training quantization on OpenVINO models. Added an example script demonstrating the OpenVINO post-training quantization on MobileNetV2.
- NNCF with OpenVINO backend can be installed using
pip install nncf[openvino]
alexsu52
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Jan 24, 2023
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