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Update release notes for 2.6.0 release
Signed-off-by: Michael Tuttle <quic_mtuttle@quicinc.com> Co-authored-by: Michael Tuttle <quic_mtuttle@quicinc.com>
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Docs/release_notes.rst

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Release notes
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2.6.0
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=====
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* New Features
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* ONNX
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* Support for passing onnxruntime EPs directly to :func:`QuantizationSimModel.__init__`
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* PyTorch
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* Support for simulating float8 quantization
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* Experimental: Omniquant - a new post-training quantization technique
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* Experimental: Added :func:`aimet_torch.onnx.export` API for exporting :mod:`QuantizationSimModel` to onnx QDQ graph
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* Bug Fixes and Improvements
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* ONNX
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* Reduced CPU and GPU memory usage during sequential MSE
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* Fixed AMP generating incompatible quantizer configurations
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* Fixed AMP errors with dynamic Conv ops
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* Aligned computation of symmetric encodings with :mod:`aimet_torch`
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* PyTorch
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* Fixed AttributeError when catching :func:`torch.onnx.export` failures during QuantSim export
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* Fixed errors being thrown when deepspeed import fails
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* Aligned input and output encodings for Resize layers
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* Added supergroup fusion handling for LeakyRelu layers
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* Docs: Updated LoRA user guide
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* Deprecations:
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* ONNX
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* Deprecated `use_cuda`, `device`, `rounding_mode`, and `use_symmetric_encodings` args to :func:`QuantizationSimModel.__init__`
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2.5.0
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=====
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Docs/versions.rst

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AIMET documentation versions
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* `2.5.0 (current) <https://quic.github.io/aimet-pages/releases/2.5.0/index.html>`_
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* `2.6.0 (current) <https://quic.github.io/aimet-pages/releases/2.6.0/index.html>`_
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* `2.5.0 <https://quic.github.io/aimet-pages/releases/2.5.0/index.html>`_
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* `2.4.0 <https://quic.github.io/aimet-pages/releases/2.4.0/index.html>`_
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* `2.3.0 <https://quic.github.io/aimet-pages/releases/2.3.0/index.html>`_
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* `2.2.0 <https://quic.github.io/aimet-pages/releases/2.2.0/index.html>`_

packaging/version.txt

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2.5.0
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2.6.0

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