diff options
author | Kawrakow <iwankawrakow@gmail.com> | 2024-10-25 13:08:43 +0200 |
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committer | GitHub <noreply@github.com> | 2024-10-25 13:08:43 +0200 |
commit | 6b968f38946117552ffed300771c44ba9b39d3e4 (patch) | |
tree | dc6b0df69f31ea77d9941d6798a4ef411c688080 /ggml/src/ggml.c | |
parent | 9114078959b404899fd67e1af45f0dcbee51b47f (diff) |
Bitnet changes (#106)
* Adapting iq2_bn to work without separate scale tensors
Why? It is becoming burdensome to maintain the special Bitnet
conversion in convert_hf_to_gguf.py, so I thnk it is better
to make iq1_bn and iq2_bn just work with the mainline
conversion script (which does not generate scales).
* Adapting iq1_bn to work without separate scale tensors
* Adapting iq2_bn: CUDA dequantize
* Adapting iq2_bn: CUDA works
* Adapting iq1_bn: CUDA works
* Adapting iq1_bn, iq2_bn: NEON
* Adapting iq1_bn, iq2_bn: Metal
Dequantize works, but there is still something wrong
with the dot products.
* WIP
Absoolutely don't see what is wrong with the iq1_bn and iq2_bn
vector dot product kernels.
* Remove iq1_tn and iq2_tn - Part 1
Now that iq1_bn and iq2_bn have per row scales, there is no
reason to also have iq1_tn and iq2_tn.
* Remove iq1_tn and iq2_tn - Part 2
* Bitnet: use the standard llm_build_kv to build self attention
My main motivation was to enable FA. But FA does not work anyway
because head size is 100 for the Botnet ternary models
(and I had forgotten this little detail).
* Revert "Avoid rebuild of GGML graph for each token (#98)"
This reverts commit f2d315b46f7aacc7df4b86bd8acba387b30e11ca.
As far as I can tell, the commit breaks Metal TG.
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/ggml.c')
-rw-r--r-- | ggml/src/ggml.c | 46 |
1 files changed, 1 insertions, 45 deletions
diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index 35ed68d0..5570b1fc 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -1016,7 +1016,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = { .vec_dot = ggml_vec_dot_iq1_bn_q8_K64, .vec_dot_type = GGML_TYPE_Q8_K64, .nrows = 1, - .row_meta_size = 0, + .row_meta_size = 2, }, [GGML_TYPE_IQ2_BN] = { .type_name = "iq2_bn", @@ -1029,34 +1029,8 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = { .vec_dot = ggml_vec_dot_iq2_bn_q8_K64, .vec_dot_type = GGML_TYPE_Q8_K64, .nrows = 1, - .row_meta_size = 0, - }, - [GGML_TYPE_IQ2_TN] = { - .type_name = "iq2_tn", - .blck_size = QK_K, - .type_size = sizeof(block_iq2_tn), - .is_quantized = true, - .to_float = (ggml_to_float_t) dequantize_row_iq2_tn, - .from_float = quantize_row_iq2_tn, - .from_float_ref = (ggml_from_float_t)quantize_row_iq2_tn_ref, - .vec_dot = vec_dot_iq2_tn_q8_k, - .vec_dot_type = GGML_TYPE_Q8_K, - .nrows = 1, .row_meta_size = 4, }, - [GGML_TYPE_IQ1_TN] = { - .type_name = "iq1_tn", - .blck_size = QK_K, - .type_size = sizeof(block_iq1_tn), - .is_quantized = true, - .to_float = (ggml_to_float_t) dequantize_row_iq1_tn, - .from_float = quantize_row_iq1_tn, - .from_float_ref = (ggml_from_float_t)quantize_row_iq1_tn_ref, - .vec_dot = vec_dot_iq1_tn_q8_k, - .vec_dot_type = GGML_TYPE_Q8_K64, - .nrows = 1, - .row_meta_size = 2, - }, [GGML_TYPE_IQ4_NL] = { .type_name = "iq4_nl", .blck_size = QK4_NL, @@ -3926,8 +3900,6 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) { case GGML_FTYPE_MOSTLY_IQ1_M: wtype = GGML_TYPE_IQ1_M; break; case GGML_FTYPE_MOSTLY_IQ1_BN: wtype = GGML_TYPE_IQ1_BN; break; case GGML_FTYPE_MOSTLY_IQ2_BN: wtype = GGML_TYPE_IQ2_BN; break; - case GGML_FTYPE_MOSTLY_IQ2_TN: wtype = GGML_TYPE_IQ2_TN; break; - case GGML_FTYPE_MOSTLY_IQ1_TN: wtype = GGML_TYPE_IQ1_TN; break; case GGML_FTYPE_MOSTLY_IQ4_NL: wtype = GGML_TYPE_IQ4_NL; break; case GGML_FTYPE_MOSTLY_IQ4_XS: wtype = GGML_TYPE_IQ4_XS; break; case GGML_FTYPE_MOSTLY_IQ4_KS: wtype = GGML_TYPE_IQ4_KS; break; @@ -10428,8 +10400,6 @@ static void ggml_compute_forward_add( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -10819,8 +10789,6 @@ static void ggml_compute_forward_add1( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -10960,8 +10928,6 @@ static void ggml_compute_forward_acc( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -14147,8 +14113,6 @@ static void ggml_compute_forward_out_prod( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -14528,8 +14492,6 @@ static void ggml_compute_forward_set( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -14803,8 +14765,6 @@ static void ggml_compute_forward_get_rows( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -15405,8 +15365,6 @@ static void ggml_compute_forward_clamp( case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ1_BN: case GGML_TYPE_IQ2_BN: - case GGML_TYPE_IQ2_TN: - case GGML_TYPE_IQ1_TN: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_KS: @@ -22224,8 +22182,6 @@ size_t ggml_quantize_chunk( case GGML_TYPE_IQ1_M: result = quantize_iq1_m (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_IQ1_BN: result = quantize_iq1_bn (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_IQ2_BN: result = quantize_iq2_bn (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; - case GGML_TYPE_IQ2_TN: result = quantize_iq2_tn (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; - case GGML_TYPE_IQ1_TN: result = quantize_iq1_tn (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_IQ4_NL: result = quantize_iq4_nl (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_IQ4_XS: result = quantize_iq4_xs (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_IQ4_KS: result = quantize_iq4_ks (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; |