Llama cpp bump (df1b612): granite docling / mamba2 optimizations / multimodal encoding fixes (#12552)

* feat: Bump llama.cpp to df1b612

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(mtmd): Correctly encode text chunks during mtmd tokenization

There can be text chunks that appear interspersed with the image embeddings
that contain template delimiter tokens for some models. These need to be
correctly translated to text tokens.

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* tests: Use MtmdChunk in image_test

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* style: Fix unnecessary conversion linting

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix(ggml): Revert changes to ggml_hip.cpp

These changes were done largely by our code assistant and are likely wrong

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Revert changes in mem_nvml.cpp

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Update sync point to 1deee0

This brings in several more optimization commits and model support for
EmbeddingGemma

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Update patches for 1deee0

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: sync for bump to 1deee0

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Bad patch updates with errant `+`

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Bump llama.cpp/ggml to 7049736

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: format-patches after latest bump

Branch: LlamaCPPBump-GraniteDocling

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
This commit is contained in:
Gabe Goodhart
2025-10-13 16:26:18 -06:00
committed by GitHub
parent e638f2acb6
commit 4987f13d34
99 changed files with 4580 additions and 2323 deletions

View File

@@ -76,7 +76,7 @@ enum mtmd_slice_tmpl {
MTMD_SLICE_TMPL_MINICPMV_2_5,
MTMD_SLICE_TMPL_MINICPMV_2_6,
MTMD_SLICE_TMPL_LLAMA4,
// TODO @ngxson : add support for idefics (SmolVLM)
MTMD_SLICE_TMPL_IDEFICS3,
};
mtmd_input_text* mtmd_input_text_init(const char * text, bool add_special, bool parse_special) {
@@ -124,19 +124,22 @@ struct mtmd_context {
// for llava-uhd style models, we need special tokens in-between slices
// minicpmv calls them "slices", llama 4 calls them "tiles"
mtmd_slice_tmpl slice_tmpl = MTMD_SLICE_TMPL_NONE;
llama_token tok_ov_img_start = LLAMA_TOKEN_NULL; // overview image
llama_token tok_ov_img_end = LLAMA_TOKEN_NULL; // overview image
llama_token tok_slices_start = LLAMA_TOKEN_NULL; // start of all slices
llama_token tok_slices_end = LLAMA_TOKEN_NULL; // end of all slices
llama_token tok_sli_img_start = LLAMA_TOKEN_NULL; // single slice start
llama_token tok_sli_img_end = LLAMA_TOKEN_NULL; // single slice end
llama_token tok_sli_img_mid = LLAMA_TOKEN_NULL; // between 2 slices
llama_token tok_row_end = LLAMA_TOKEN_NULL; // end of row
std::vector<llama_token> tok_ov_img_start; // overview image
std::vector<llama_token> tok_ov_img_end; // overview image
std::vector<llama_token> tok_slices_start; // start of all slices
std::vector<llama_token> tok_slices_end; // end of all slices
std::vector<llama_token> tok_sli_img_start; // single slice start
std::vector<llama_token> tok_sli_img_end; // single slice end
std::vector<llama_token> tok_sli_img_mid; // between 2 slices
std::vector<llama_token> tok_row_end; // end of row
bool tok_row_end_trail = false;
bool ov_img_first = false;
bool use_mrope = false; // for Qwen2VL, we need to use M-RoPE
// string template for slice image delimiters with row/col (idefics3)
std::string sli_img_start_tmpl;
// for whisper, we pre-calculate the mel filter bank
whisper_preprocessor::whisper_filters w_filters;
@@ -207,13 +210,13 @@ struct mtmd_context {
// minicpmv 2.5 format:
// <image> (overview) </image><slice><image> (slice) </image><image> (slice) </image>\n ... </slice>
slice_tmpl = MTMD_SLICE_TMPL_MINICPMV_2_5;
tok_ov_img_start = lookup_token("<image>");
tok_ov_img_end = lookup_token("</image>");
tok_slices_start = lookup_token("<slice>");
tok_slices_end = lookup_token("</slice>");
tok_ov_img_start = {lookup_token("<image>")};
tok_ov_img_end = {lookup_token("</image>")};
tok_slices_start = {lookup_token("<slice>")};
tok_slices_end = {lookup_token("</slice>")};
tok_sli_img_start = tok_ov_img_start;
tok_sli_img_end = tok_ov_img_end;
tok_row_end = lookup_token("\n");
tok_row_end = {lookup_token("\n")};
tok_row_end_trail = false; // no trailing end-of-row token
ov_img_first = true;
@@ -221,11 +224,11 @@ struct mtmd_context {
// minicpmv 2.6 format:
// <image> (overview) </image><slice> (slice) </slice><slice> (slice) </slice>\n ...
slice_tmpl = MTMD_SLICE_TMPL_MINICPMV_2_6;
tok_ov_img_start = lookup_token("<image>");
tok_ov_img_end = lookup_token("</image>");
tok_sli_img_start = lookup_token("<slice>");
tok_sli_img_end = lookup_token("</slice>");
tok_row_end = lookup_token("\n");
tok_ov_img_start = {lookup_token("<image>")};
tok_ov_img_end = {lookup_token("</image>")};
tok_sli_img_start = {lookup_token("<slice>")};
tok_sli_img_end = {lookup_token("</slice>")};
tok_row_end = {lookup_token("\n")};
tok_row_end_trail = false; // no trailing end-of-row token
ov_img_first = true;
@@ -240,9 +243,9 @@ struct mtmd_context {
// <|image|> (overview) <-- overview image is last
// <|image_end|>
slice_tmpl = MTMD_SLICE_TMPL_LLAMA4;
tok_ov_img_start = lookup_token("<|image|>");
tok_sli_img_mid = lookup_token("<|tile_x_separator|>");
tok_row_end = lookup_token("<|tile_y_separator|>");
tok_ov_img_start = {lookup_token("<|image|>")};
tok_sli_img_mid = {lookup_token("<|tile_x_separator|>")};
tok_row_end = {lookup_token("<|tile_y_separator|>")};
tok_row_end_trail = true; // add trailing end-of-row token
ov_img_first = false; // overview image is last
}
@@ -255,8 +258,11 @@ struct mtmd_context {
} else if (proj == PROJECTOR_TYPE_IDEFICS3) {
// https://github.com/huggingface/transformers/blob/a42ba80fa520c784c8f11a973ca9034e5f859b79/src/transformers/models/idefics3/processing_idefics3.py#L192-L215
img_beg = "<fake_token_around_image><global-img>";
img_end = "<fake_token_around_image>";
slice_tmpl = MTMD_SLICE_TMPL_IDEFICS3;
tok_ov_img_start = {lookup_token("\n\n"), lookup_token("<fake_token_around_image>"), lookup_token("<global-img>")};
tok_ov_img_end = {lookup_token("<fake_token_around_image>")};
tok_row_end = {lookup_token("\n")};
sli_img_start_tmpl = "<fake_token_around_image><row_%d_col_%d>";
} else if (proj == PROJECTOR_TYPE_PIXTRAL) {
// https://github.com/huggingface/transformers/blob/1cd110c6cb6a6237614130c470e9a902dbc1a4bd/docs/source/en/model_doc/pixtral.md
@@ -514,6 +520,7 @@ struct mtmd_tokenizer {
ctx->slice_tmpl == MTMD_SLICE_TMPL_MINICPMV_2_5
|| ctx->slice_tmpl == MTMD_SLICE_TMPL_MINICPMV_2_6
|| ctx->slice_tmpl == MTMD_SLICE_TMPL_LLAMA4
|| ctx->slice_tmpl == MTMD_SLICE_TMPL_IDEFICS3
) {
const int n_col = batch_f32.grid_x;
const int n_row = batch_f32.grid_y;
@@ -527,53 +534,45 @@ struct mtmd_tokenizer {
// add overview image (first)
if (ctx->ov_img_first) {
if (ctx->tok_ov_img_start != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_ov_img_start});
}
add_text(ctx->tok_ov_img_start);
cur.entries.emplace_back(std::move(ov_chunk));
if (ctx->tok_ov_img_end != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_ov_img_end});
}
add_text(ctx->tok_ov_img_end);
}
// add slices (or tiles)
if (!chunks.empty()) {
GGML_ASSERT((int)chunks.size() == n_row * n_col);
if (ctx->tok_slices_start != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_slices_start});
}
add_text(ctx->tok_slices_start);
for (int y = 0; y < n_row; y++) {
for (int x = 0; x < n_col; x++) {
const bool is_last_in_row = (x == n_col - 1);
if (ctx->tok_sli_img_start != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_sli_img_start});
if (!ctx->tok_sli_img_start.empty()) {
add_text(ctx->tok_sli_img_start);
} else if (!ctx->sli_img_start_tmpl.empty()) {
// If using a template to preceed a slice image
const size_t sz = std::snprintf(nullptr, 0, ctx->sli_img_start_tmpl.c_str(), y+1, x+1) + 1;
std::unique_ptr<char[]> buf(new char[sz]);
std::snprintf(buf.get(), sz, ctx->sli_img_start_tmpl.c_str(), y+1, x+1);
add_text(std::string(buf.get(), buf.get() + sz - 1), true);
}
cur.entries.emplace_back(std::move(chunks[y * n_col + x]));
if (ctx->tok_sli_img_end != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_sli_img_end});
}
if (!is_last_in_row && ctx->tok_sli_img_mid != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_sli_img_mid});
add_text(ctx->tok_sli_img_end);
if (!is_last_in_row) {
add_text(ctx->tok_sli_img_mid);
}
}
if ((y != n_row - 1 || ctx->tok_row_end_trail) && ctx->tok_row_end != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_row_end});
if ((y != n_row - 1 || ctx->tok_row_end_trail)) {
add_text(ctx->tok_row_end);
}
}
if (ctx->tok_slices_end != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_slices_end});
}
add_text(ctx->tok_slices_end);
}
// add overview image (last)
if (!ctx->ov_img_first) {
if (ctx->tok_ov_img_start != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_ov_img_start});
}
add_text(ctx->tok_ov_img_start);
cur.entries.emplace_back(std::move(ov_chunk));
if (ctx->tok_ov_img_end != LLAMA_TOKEN_NULL) {
add_text({ctx->tok_ov_img_end});
}
add_text(ctx->tok_ov_img_end);
}
} else {
@@ -790,7 +789,9 @@ int32_t mtmd_encode(mtmd_context * ctx, const mtmd_image_tokens * image_tokens)
ctx->image_embd_v.resize(image_tokens->n_tokens() * n_mmproj_embd);
bool ok = false;
if (clip_is_llava(ctx_clip) || clip_is_minicpmv(ctx_clip) || clip_is_glm(ctx_clip)) {
if (clip_is_llava(ctx_clip)
|| clip_is_minicpmv(ctx_clip)
|| clip_is_glm(ctx_clip)) {
// TODO @ngxson : llava does not support batched encoding ; this should be fixed inside clip_image_batch_encode()
const auto & entries = image_tokens->batch_f32.entries;
for (size_t i = 0; i < entries.size(); i++) {