[Torch, QNN] Support quantized mobilenet v3 from torch 1.8#7606
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siju-samuel merged 5 commits intoapache:mainfrom Mar 8, 2021
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[Torch, QNN] Support quantized mobilenet v3 from torch 1.8#7606siju-samuel merged 5 commits intoapache:mainfrom
siju-samuel merged 5 commits intoapache:mainfrom
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anijain2305
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* [Torch] support hardsigmoid * qhswish first impl * add qhardsigmoid but the result is not correct * add qmv3 to test * comment fix
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* [Torch] support hardsigmoid * qhswish first impl * add qhardsigmoid but the result is not correct * add qmv3 to test * comment fix
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* [Torch] support hardsigmoid * qhswish first impl * add qhardsigmoid but the result is not correct * add qmv3 to test * comment fix
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Added support for quantized hardsigmoid and hardswish to support the new, QAT-ed, quantized mobilenet v3 large model from PyTorch 1.8 (see their release note https://github.com/pytorch/vision/releases/tag/v0.9.0).
Here are accuracy and latency numbers on a VNNI capable Icelake laptop.
cc @siju-samuel @anijain2305 please review