llama.cpp/tools/mtmd/clip.h

#pragma once

#include "ggml.h"
#include <stddef.h>
#include <stdint.h>

// !!! Internal header, to be used by mtmd only !!!

struct clip_ctx;

struct clip_image_size {
    int width;
    int height;
};

struct clip_image_f32;
struct clip_image_u8_batch;
struct clip_image_f32_batch;

enum clip_modality {
    CLIP_MODALITY_VISION,
    CLIP_MODALITY_AUDIO,
};

struct clip_context_params {
    bool use_gpu;
    enum ggml_log_level verbosity;
};

struct clip_init_result {
    struct clip_ctx * ctx_v; // vision context
    struct clip_ctx * ctx_a; // audio context
};

struct clip_init_result clip_init(const char * fname, struct clip_context_params ctx_params);

void clip_free(struct clip_ctx * ctx);

size_t clip_embd_nbytes(const struct clip_ctx * ctx);
size_t clip_embd_nbytes_by_img(const struct clip_ctx * ctx, int img_w, int img_h);

int32_t clip_get_image_size (const struct clip_ctx * ctx);
int32_t clip_get_patch_size (const struct clip_ctx * ctx);
int32_t clip_get_hidden_size(const struct clip_ctx * ctx);

// TODO: should be enum, not string
const char * clip_patch_merge_type(const struct clip_ctx * ctx);

const int32_t * clip_image_grid(const struct clip_ctx * ctx);
size_t get_clip_image_grid_size(const struct clip_ctx * ctx);

int clip_n_output_tokens(const struct clip_ctx * ctx, struct 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 struct clip_ctx * ctx, struct clip_image_f32 * img);
int clip_n_output_tokens_y(const struct clip_ctx * ctx, struct 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);

struct clip_image_size      * clip_image_size_init(void);
struct clip_image_u8        * clip_image_u8_init (void);
struct clip_image_f32       * clip_image_f32_init(void);
struct clip_image_f32_batch * clip_image_f32_batch_init(void); // only used by libllava

// nx, ny are the output image dimensions
unsigned char * clip_image_u8_get_data(struct clip_image_u8 * img, uint32_t * nx, uint32_t * ny);

void clip_image_size_free (struct clip_image_size * img_size);
void clip_image_u8_free (struct clip_image_u8  * img);
void clip_image_f32_free(struct clip_image_f32 * img);
void clip_image_u8_batch_free (struct clip_image_u8_batch  * batch);
void clip_image_f32_batch_free(struct clip_image_f32_batch * batch);

// use for accessing underlay data of clip_image_f32_batch
size_t clip_image_f32_batch_n_images(const struct clip_image_f32_batch * batch); // equivalent to batch->size()
size_t clip_image_f32_batch_nx(const struct clip_image_f32_batch * batch, int idx); // equivalent to batch[idx]->nx
size_t clip_image_f32_batch_ny(const struct clip_image_f32_batch * batch, int idx); // equivalent to batch[idx]->ny
struct clip_image_f32 * clip_image_f32_get_img(const struct clip_image_f32_batch * batch, int idx); // equivalent to batch[idx]->data

/**
 * Build image from pixels decoded by other libraries instead of stb_image.h for better performance.
 * The memory layout is RGBRGBRGB..., input buffer length must be 3*nx*ny bytes
 */
void clip_build_img_from_pixels(const unsigned char * rgb_pixels, int nx, int ny, struct clip_image_u8 * img);

bool clip_image_load_from_file(const char * fname, struct clip_image_u8 * img);

/** interpret bytes as an image file with length bytes_length, and use the result to populate img */
bool clip_image_load_from_bytes(const unsigned char * bytes, size_t bytes_length, struct clip_image_u8 * img);

/** preprocess img and store the result in res_imgs, pad_to_square may be overridden to false depending on model configuration */
bool clip_image_preprocess(struct clip_ctx * ctx, const struct clip_image_u8 * img, struct clip_image_f32_batch * res_imgs );

struct ggml_tensor * clip_get_newline_tensor(const struct clip_ctx * ctx);

bool clip_image_encode      (struct clip_ctx * ctx, int n_threads, struct clip_image_f32 * img, float * vec);
bool clip_image_batch_encode(struct clip_ctx * ctx, int n_threads, const struct clip_image_f32_batch * imgs, float * vec);

int clip_is_minicpmv(const struct clip_ctx * ctx);
bool clip_is_glm(const struct clip_ctx * ctx);
bool clip_is_qwen2vl(const struct clip_ctx * ctx);
bool clip_is_llava(const struct clip_ctx * ctx);
bool clip_is_gemma3(const struct clip_ctx * ctx);

bool clip_encode_float_image (struct clip_ctx * ctx, int n_threads, float * img, int h, int w, float * vec);

// use by audio input
void clip_image_f32_batch_add_mel(struct clip_image_f32_batch * batch, int n_mel, int n_frames, float * mel);

bool clip_has_vision_encoder(const struct clip_ctx * ctx);
bool clip_has_audio_encoder(const struct clip_ctx * ctx);
bool clip_has_whisper_encoder(const struct clip_ctx * ctx);