10 Commits (5d1bfc2bfcb63d8e34c96b7d2a5d942e7e242aaf)

Author	SHA1	Message	Date
Disty0	e6715ba8d3	Cleanup SDNQ compile	2025-09-19 19:29:36 +03:00
Disty0	a12edc1e90	SDNQ use nan_to_num_ with fp8 quantization in case of zeros	2025-09-15 20:22:39 +03:00
Vladimir Mandic	9743c8e4bf	keep previous processed state ... Signed-off-by: Vladimir Mandic <mandic00@live.com>	2025-08-31 15:20:15 -04:00
Disty0	a8de3f7282	SDNQ add quantized matmul support for all quantization types and group sizes	2025-08-29 22:26:47 +03:00
Disty0	f324b7c0e5	SDNQ remove unnecessary .contiguous()	2025-08-21 02:21:05 +03:00
Disty0	8460be662c	SDNQ use inplace transpose and use view instead of reshape	2025-08-17 05:07:55 +03:00
Disty0	dc7b25d387	Cleanup SDNQ and add SDNQ_USE_TENSORWISE_FP8_MATMUL env var	2025-08-11 14:50:17 +03:00
Disty0	3f45c4e570	Cleanup SDNQ and skip transpose on packed int8 matmul	2025-08-10 19:31:34 +03:00
Disty0	22d86acda3	Make SDNQ MatMul listen to the dequantize fp32 setting	2025-08-09 01:10:07 +03:00
Disty0	c3d007b02c	SDNQ split forward.py into layers and cleanup	2025-08-02 17:36:55 +03:00