2 Commits

Author	SHA1	Message	Date
Eve	18429220bd	AVX BF16 and single scale quant optimizations (#10212) ... * use 128 bit loads (i've tried 256->128 to death and its slower) * double accumulator * avx bf16 vec dot * +3% q4_0 inference * +7% tg +5% pp compared to master * slower f16c version, kep for reference * 256b version, also slow. i tried :) * revert f16 * faster with madd * split to functions * Q8_0 and IQ4_NL, 5-7% faster * fix potential overflow (performance reduced) * 16 bit add for q4_0 only * merge	2024-11-15 12:47:58 +01:00
Diego Devesa	ae8de6d50a	ggml : build backends as libraries (#10256) ... * ggml : build backends as libraries --------- Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com>	2024-11-14 18:04:35 +01:00