Fix hybrid quantization reg issue #27687
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### Details: - set LPT callbacks to handle compression and avoid constant folding for it (taken from openvinotoolkit#20973) - Allow u8/i8 output data type for compressed onednn FC - Disable Dequantize propagation through Transpose if it's a dependency of SDPA to keep Transpose+SDPA fusion
Many daily int8 models have Perf regression.(incorrect conv data type and bias) Fix kernel selection issue. Signed-off-by: hyunback <[email protected]>
Convolution is expected int8 data type in int8 model, but with mixed weight compressed occurs, it run fp16. Signed-off-by: hyunback <[email protected]>
Currently dynamic quantized int8 onednn convolution has the problem. Working with ref convolution. So replace to run fp16 mode instead. Signed-off-by: hyunback <[email protected]>
Signed-off-by: hyunback <[email protected]>
Signed-off-by: hyunback <[email protected]>
Signed-off-by: hyunback <[email protected]>
Signed-off-by: hyunback <[email protected]>
e-ddykim
approved these changes
Nov 22, 2024
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