PyTorch 2 Export Quantization for OpenVINO torch.compile backend #3321
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Co-authored-by: Alexander Suslov <[email protected]> Co-authored-by: Yamini Nimmagadda <[email protected]>
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3321
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit f09a85f with merge base 548ea1c ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
alexsu52
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Apr 11, 2025
Co-authored-by: Alexander Suslov <[email protected]>
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@HamidShojanazeri can someone from the partner's team take a look? |
AlannaBurke
reviewed
Apr 12, 2025
| Introduction | ||
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| **This is an experimental feature, the quantization API is subject to change.** |
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Just a suggestion, but I'd put this in a note callout: .. note::
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Hello there!
In this example we would like to present a quantization pipeline that allows users to run quantized OpenVINO models optimally—without ever leaving the PyTorch ecosystem
CC: @alexsu52, @ynimmaga, @anzr299 @AlexKoff88
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @ZailiWang @ZhaoqiongZ @leslie-fang-intel @Xia-Weiwen @sekahler2 @CaoE @zhuhaozhe @Valentine233