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ReleaseNotes update #2500

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merged 10 commits into from
Mar 4, 2024
Merged

ReleaseNotes update #2500

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df1ff1f
Release notes for v2.8.1 (#2456)
nikita-malininn Feb 8, 2024
5717307
Added ReleaseNotes v2.9.0 template
nikita-malininn Feb 20, 2024
a23ff15
Update ReleaseNotes.md
andrey-churkin Feb 22, 2024
8111610
pt
AlexanderDokuchaev Feb 22, 2024
2d36922
PT
AlexanderDokuchaev Feb 22, 2024
6a208d0
Added AI trend models from OV notebooks
l-bat Feb 28, 2024
24725fb
Update ReleaseNotes.md
nikita-malininn Feb 29, 2024
6ae5bca
Update ReleaseNotes.md
nikita-malininn Feb 29, 2024
3ee3b21
Added reference link
nikita-malininn Mar 4, 2024
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Change removal message
nikita-malininn Mar 4, 2024
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@AlexanderDokuchaev @nikita-malininn
AlexanderDokuchaev authored and nikita-malininn committed Feb 29, 2024
commit 811161052e7155f4eae54d03cab6c5e7f5cdcbfc
6 changes: 6 additions & 0 deletions ReleaseNotes.md
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Expand Up @@ -11,12 +11,18 @@ Post-training Quantization:
- Features:
- (ONNX) Introduced support for the ONNX backend in the `nncf.quantize_with_accuracy_control()` method. Users can now perform quantization with accuracy control for `onnx.ModelProto`. By leveraging this feature, users can enhance the accuracy of quantized models while minimizing performance impact.
- (ONNX) Added an example based on the YOLOv8n-seg model for demonstrating the usage of quantization with accuracy control for the ONNX backend.
- (PT) Added SmoothQuant algorithm for PyTorch backend in `nncf.quantize`.
- ...
- Fixes:
- (PyTorch) Fixed incorrect set `is_shared` attribute in case of wraping model with `trace_parameters=True`.
- (PyTorch) Fixed dtype handling for traced `torch.nn.Parameter`.
- (PyTorch) Fixed zero eps for fake quantizer module.
- ...
- Improvements:
- ...
- Deprecations/Removals:
- (PyTorch) Deprecated `binarization` algorithm
- Removed Dockerfiles
- ...
- Tutorials:
- ...
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