koboldcpp/tools/mtmd/clip.h
Xuan-Son Nguyen 6e62ba5384
mtmd: support pocket-tts (#26871)
* adapt the api

* text model ok

* working impl, need verify and clean up

* mtmd: build the pocket-tts transposed convolutions as GEMM + col2im

ggml_conv_transpose_1d has no grouped mode, so the depthwise upsample
was built as one convolution and one concat per channel, which floods
the graph with small nodes and makes kernel launches dominate the
decoder.

Fold both cases into the column form the seanet decoder already needs:
the general case reshapes the kernel to [IC, K * OC] and matmuls it
with the input, the depthwise case batches a matmul over the channels
so a step scales its own kernel. A single col2im_1d then scatter-adds
the columns back to the signal, with the same shape as before, so the
overlap-add tail, the streaming state and the bias are untouched.

Generation time per frame drops by 80% on CUDA and by 50% on CPU. The
output matches the previous implementation sample for sample, with a
correlation of 0.999994 and identical frame counts.

* flow_temp +  frames_after_eos

* chunking

* mtmd: carry the remaining pocket-tts per-pack settings

The language packs also tune the end-of-speech padding and the padding
of short prompts, next to the temperature already carried in the
mmproj: french_24l asks for 8 tail frames instead of the guessed 3,
english_2026-01 asks for short prompts to be padded with spaces.

Write both in the mmproj as clip.gen.audio.frames_after_eos and
clip.gen.audio.pad_short_text, keyed on the pack in the conversion
script like the temperature. The loader keeps them optional, so a
mmproj without them behaves as before. Map semicolons to commas for
every pack instead, the reference only asks for it on three of them and
it costs nothing elsewhere.

Existing mmproj files must be converted again to carry the two keys.

On a long french text the port now lands within 2% of the reference:
22.96s against 23.44s, with the same peak level and the same amount of
silence.

* clip.gen.audio.model_variant

* clean up code comments

* nit: drop the dead flow_temp hparam, the pack table holds the default

* update docs

* address security problems

* less invasive base.py

* lint

* add mtmd_gen_inp_default

* add docs

* rm gen_flow_temp

---------

Co-authored-by: Pascal <admin@serveurperso.com>
2026-08-11 14:18:30 +02:00

138 lines
4.8 KiB
C++

#pragma once
#include "ggml.h"
#include "mtmd.h"
#include <stddef.h>
#include <stdint.h>
#include <map>
// !!! Internal header, to be used by mtmd only !!!
#define MTMD_INTERNAL_HEADER
struct clip_ctx;
struct clip_image_size {
int width;
int height;
bool operator==(const clip_image_size & other) const {
return width == other.width && height == other.height;
}
bool operator!=(const clip_image_size & other) const {
return !(*this == other);
}
int area() const {
// avoid overflow when computing area
GGML_ASSERT(width >= 0 && width <= 46000);
GGML_ASSERT(height >= 0 && height <= 46000);
return width * height;
}
};
struct clip_image_f32;
struct clip_image_f32_batch;
enum clip_modality {
CLIP_MODALITY_VISION,
CLIP_MODALITY_AUDIO,
CLIP_MODALITY_GEN_AUDIO,
};
enum clip_flash_attn_type {
CLIP_FLASH_ATTN_TYPE_AUTO = -1,
CLIP_FLASH_ATTN_TYPE_DISABLED = 0,
CLIP_FLASH_ATTN_TYPE_ENABLED = 1,
};
struct clip_context_params {
bool use_gpu;
enum clip_flash_attn_type flash_attn_type;
int image_min_tokens;
int image_max_tokens;
bool warmup;
ggml_backend_sched_eval_callback cb_eval;
void * cb_eval_user_data;
bool no_alloc;
mtmd_progress_callback progress_callback;
void * progress_callback_user_data;
};
struct clip_init_result {
struct clip_ctx * ctx_v; // vision context
struct clip_ctx * ctx_a; // audio context
struct clip_ctx * ctx_gen_a; // audio generation context
};
struct clip_init_result clip_init(const char * fname, struct clip_context_params ctx_params);
void clip_free(struct clip_ctx * ctx);
// TODO: should be enum, not string
const char * clip_patch_merge_type(const struct clip_ctx * ctx);
int clip_n_output_tokens(const clip_ctx * ctx, const clip_image_f32 * img);
// for M-RoPE, this will be the number of token positions in X and Y directions
// for other models, X will be the total number of tokens and Y will be 1
int clip_n_output_tokens_x(const clip_ctx * ctx, const clip_image_f32 * img);
int clip_n_output_tokens_y(const clip_ctx * ctx, const clip_image_f32 * img);
// this should be equal to the embedding dimension of the text model
int clip_n_mmproj_embd(const struct clip_ctx * ctx);
// TODO: remove clip_image_encode() and always use batched version
bool clip_image_encode (struct clip_ctx * ctx, int n_threads, const clip_image_f32 * img, std::vector<float> & out_vec);
bool clip_image_batch_encode(struct clip_ctx * ctx, int n_threads, const struct clip_image_f32_batch * imgs, std::vector<float> & out_batch_embd);
enum clip_gen_process_type {
CLIP_GEN_PROCESS_GEN_UNKNOWN,
CLIP_GEN_PROCESS_GEN_CODE, // h_state to codes
CLIP_GEN_PROCESS_GEN_WAV, // codes to raw PCM audio
};
struct clip_encode_params {
int n_threads = 1;
const clip_image_f32_batch * imgs = nullptr;
std::vector<float> * out_embd = nullptr;
// for audio gen, imgs has exactly one entry: hidden state from backbone (GEN_CODE) or unused (GEN_WAV)
clip_gen_process_type gen_process = CLIP_GEN_PROCESS_GEN_UNKNOWN;
// GEN_CODE: out_embd receives the embd to feed back to the backbone
int32_t code0 = 0; // semantic code sampled by the backbone
int32_t top_k = 50;
float top_p = 1.0f;
std::vector<int32_t> * out_codes = nullptr; // this frame's 16 sampled codes
std::vector<float> * out_feats = nullptr; // continuous counterpart of out_codes
uint32_t seed = UINT32_MAX; // UINT32_MAX for random
float temp = 0.0f; // sampling temperature, noise scale for flow-matching decoders
bool * out_is_eos = nullptr;
// GEN_WAV
const std::vector<int32_t> * codes = nullptr; // this frame's 16 RVQ codes
const std::vector<float> * feats = nullptr; // continuous counterpart of codes
std::vector<float> * out_audio = nullptr; // decoded PCM samples, F32
const std::vector<uint8_t> * state_in = nullptr; // state from previous call, null or wrong size means cold start
std::vector<uint8_t> * state_out = nullptr; // state for the next call
};
bool clip_encode(struct clip_ctx * ctx, struct clip_encode_params * params);
bool clip_is_llava(const struct clip_ctx * ctx);
// note for contributor: this clip_is_(model) pattern is deprecated
// do NOT add new functions like this
bool clip_has_vision_encoder(const struct clip_ctx * ctx);
bool clip_has_audio_encoder(const struct clip_ctx * ctx);
bool clip_support_batch(const struct clip_ctx * ctx);
int clip_model_n_temporal_merge(const struct clip_ctx * ctx); // TODO @ngxson : remove, refactor this
std::map<ggml_backend_dev_t, size_t> clip_get_mem_usage(const struct clip_ctx * ctx);
struct clip_cap {
bool has_vision;
bool has_audio;
};
struct clip_cap clip_get_cap(const char * fname);