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| author | Kawrakow <iwankawrakow@gmail.com> | 2024-12-08 15:27:13 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-12-08 15:27:13 +0100 |
| commit | 43e65a672a98d931998559785b58f1e980e87f54 (patch) | |
| tree | f0cefd9605710ff529d637e507af01327792d004 /ggml/src/ggml.c | |
| parent | fc701cedd146152fb270482a7eef5aba23b20575 (diff) | |
Faster IQ4_XS_R4 on Zen4 (#128)
* Faster iq4_xs_r4 on Zen4
The trick is to simply prepare the Q8 block sums for
blocks of 32 as floats. This brings PP-512 up to 254.6 t/s
from 224 t/s.
* Fix broken matrix x vector product on Zen4
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/ggml.c')
| -rw-r--r-- | ggml/src/ggml.c | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index 69bb6d88..974e42b2 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -1124,6 +1124,14 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = { .from_float = quantize_row_q8_K16, .row_meta_size = 20, }, + [GGML_TYPE_Q8_K32] = { + .type_name = "q8_K32", + .blck_size = QK_K, + .type_size = sizeof(block_q8_K), + .is_quantized = true, + .from_float = quantize_row_q8_K32, + .row_meta_size = 0, + }, [GGML_TYPE_BF16] = { .type_name = "bf16", .blck_size = 1, @@ -1292,7 +1300,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = { .from_float = quantize_row_iq4_xs_r4, .from_float_ref = (ggml_from_float_t)quantize_row_iq4_xs_r4_ref, .vec_dot = vec_dot_iq4_xs_r4_q8_k, - .vec_dot_type = GGML_TYPE_Q8_K, + .vec_dot_type = GGML_TYPE_Q8_K32, .nrows = 1, .row_meta_size = 0, }, @@ -15633,6 +15641,7 @@ static void ggml_compute_forward_clamp( case GGML_TYPE_Q8_K: case GGML_TYPE_Q8_K64: case GGML_TYPE_Q8_K16: + case GGML_TYPE_Q8_K32: case GGML_TYPE_Q4_0_4_4: case GGML_TYPE_Q4_0_4_8: case GGML_TYPE_Q4_0_8_8: |