[GPU] Fix hybrid quantization reg issue #27404
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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]>
Lyamin-Roman
approved these changes
Nov 11, 2024
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
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Nov 18, 2024
NishantPrabhuFujitsu
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Nov 26, 2024
Many daily int8 models have Perf regression.(incorrect conv data type and bias) Fix kernel selection issue. ### Tickets: - *156564, 155267, 156243* --------- Signed-off-by: hyunback <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]>
github-merge-queue bot
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Nov 29, 2024
### Details: - Backport of PR #27404 ### Tickets: - *ticket-id* --------- Signed-off-by: hyunback <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]>
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Many daily int8 models have Perf regression.(incorrect conv data type and bias)
Fix kernel selection issue.
Tickets: