[Quant] Qlinear Add qint8 support backed by xnnpack #73672
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Summary: Pull Request resolved: pytorch#73669 if built with USE_XNNPACK, support for quantized conv 1d, 2d w/ transpose and per_channel support for act dtype KQInt8 is added. For KQUInt8 act dtype qnnpack is used as before. Differential Revision: https://www.internalfb.com/diff/D34470379?entry_point=27 fbshipit-source-id: 7937f64315dffbfec36926074bf8d889bd32e05f
Summary: Pull Request resolved: pytorch#73672 If built w/ USE_XNNPACK, for qint8 dtype, qlinear is performed using xnnpack. For quint8 input dtype, use QNNPACK. Reviewed By: kimishpatel Differential Revision: D34022360 fbshipit-source-id: 41af3172c802fb078620165f10cfefcf7c947c73
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Summary: Pull Request resolved: #73672 If built w/ USE_XNNPACK, for qint8 dtype, qlinear is performed using xnnpack. For quint8 input dtype, use QNNPACK. Reviewed By: kimishpatel Differential Revision: D34022360 fbshipit-source-id: c597a670df16e3012e0f78b27184bf8b832e12d9
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Summary: If built w/ USE_XNNPACK, for qint8 dtype, qlinear is performed using xnnpack. For quint8 input dtype, use QNNPACK.
Differential Revision: D34022360