hey what do you know, it worked

This commit is contained in:
Concedo 2025-05-21 18:50:05 +08:00
parent d04b4eeb04
commit c0edde61c5

View file

@ -275,140 +275,12 @@ static bool encode_image_with_clip(clip_ctx * ctx_clip, int n_threads, const cli
const size_t n_imgs = clip_image_f32_batch_n_images(img_res_v.get());
if (clip_is_minicpmv(ctx_clip) || clip_is_qwen2vl(ctx_clip)) {
std::vector<float *> image_embd_v;
image_embd_v.resize(n_imgs);
clip_image_size load_image_size;
for (size_t i = 0; i < n_imgs; i++) {
const int64_t t_img_enc_step_start_us = ggml_time_us();
int nx = clip_image_f32_batch_nx(img_res_v.get(), i);
int ny = clip_image_f32_batch_ny(img_res_v.get(), i);
image_embd_v[i] = (float *)malloc(clip_embd_nbytes_by_img(ctx_clip, nx, ny));
int patch_size = 14;
load_image_size.width = nx;
load_image_size.height = ny;
clip_add_load_image_size(ctx_clip, &load_image_size);
bool encoded = false;
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), i);
if (clip_is_qwen2vl(ctx_clip)) {
encoded = clip_image_encode(ctx_clip, n_threads, img_res, image_embd_v[i]);
}
else {
encoded = clip_image_encode(ctx_clip, n_threads, reshape_by_patch(img_res, patch_size), image_embd_v[i]);
}
if (!encoded) {
LOG_ERR("Unable to encode image - spatial_unpad - subimage %d of %d\n", (int) i+1, (int) n_imgs);
return false;
}
const int64_t t_img_enc_steop_batch_us = ggml_time_us();
LOG_INF("%s: step %d of %d encoded in %8.2f ms\n", __func__, (int)i+1, (int)n_imgs, (t_img_enc_steop_batch_us - t_img_enc_step_start_us) / 1000.0);
}
const int64_t t_img_enc_batch_us = ggml_time_us();
LOG_INF("%s: all %d segments encoded in %8.2f ms\n", __func__, (int)n_imgs, (t_img_enc_batch_us - t_img_enc_start_us) / 1000.0);
int n_img_pos_out = 0;
for (size_t i = 0; i < image_embd_v.size(); i++) {
int nx = clip_image_f32_batch_nx(img_res_v.get(), i);
int ny = clip_image_f32_batch_ny(img_res_v.get(), i);
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), i);
std::memcpy(
image_embd + n_img_pos_out * clip_n_mmproj_embd(ctx_clip),
image_embd_v[i],
clip_embd_nbytes_by_img(ctx_clip, nx, ny));
n_img_pos_out += clip_n_output_tokens(ctx_clip, img_res);
}
*n_img_pos = n_img_pos_out;
for (size_t i = 0; i < image_embd_v.size(); i++) {
free(image_embd_v[i]);
}
image_embd_v.clear();
load_image_size.width = img->nx;
load_image_size.height = img->ny;
clip_add_load_image_size(ctx_clip, &load_image_size);
LOG_INF("%s: load_image_size %d %d\n", __func__, load_image_size.width, load_image_size.height);
}
else if (clip_is_glm(ctx_clip)){
struct clip_image_size * load_image_size = clip_image_size_init();
load_image_size->width = clip_image_f32_batch_nx(img_res_v.get(), 0);
load_image_size->height = clip_image_f32_batch_ny(img_res_v.get(), 0);
clip_add_load_image_size(ctx_clip, load_image_size);
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), 0);
bool encoded = clip_image_encode(ctx_clip, n_threads, img_res, image_embd);
int pos = int(load_image_size->width/clip_get_patch_size(ctx_clip)/2);
*n_img_pos = (pos * pos + 2);
if (!encoded){
LOG_ERR("Unable to encode image \n");
return false;
}
}
else if (clip_is_pixtral(ctx_clip)){
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), 0);
*n_img_pos = clip_n_output_tokens(ctx_clip, img_res);
bool encoded = clip_image_encode(ctx_clip, n_threads, img_res, image_embd); // image_embd shape is 576 x 4096
if (!encoded) {
LOG_ERR("Unable to encode image\n");
return false;
}
}
else if (strcmp(mm_patch_merge_type, "spatial_unpad") != 0) {
// flat / default llava-1.5 type embedding
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), 0);
*n_img_pos = clip_n_output_tokens(ctx_clip, img_res);
bool encoded = clip_image_encode(ctx_clip, n_threads, img_res, image_embd); // image_embd shape is 576 x 4096
if (!encoded) {
LOG_ERR("Unable to encode image\n");
return false;
}
}
else {
// spatial_unpad llava-1.6 type embedding
// TODO: CLIP needs batching support - in HF the llm projection is separate after encoding, which might be a solution to quickly get batching working
std::vector<float *> image_embd_v;
image_embd_v.resize(n_imgs);
for (size_t i = 0; i < n_imgs; i++) {
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), i);
image_embd_v[i] = (float *)malloc(clip_embd_nbytes(ctx_clip)); // 576 patches * 4096 embeddings * 4 bytes = 9437184
const bool encoded = clip_image_encode(ctx_clip, n_threads, img_res, image_embd_v[i]); // image data is in 3x336x336 format and will be converted to 336x336x3 inside
if (!encoded) {
LOG_ERR("Unable to encode image - spatial_unpad - subimage %d of %d\n", (int) i+1, (int) n_imgs);
return false;
}
}
const int64_t t_img_enc_batch_us = ggml_time_us();
LOG_INF("%s: %d segments encoded in %8.2f ms\n", __func__, (int)n_imgs, (t_img_enc_batch_us - t_img_enc_start_us) / 1000.0);
const int32_t * image_grid = clip_image_grid(ctx_clip);
const size_t num_gridpoints = get_clip_image_grid_size(ctx_clip);
std::vector<std::pair<int, int>> grid_pinpoints;
for (size_t i = 0; i < num_gridpoints; i += 2) {
grid_pinpoints.push_back({image_grid[i], image_grid[i+1]});
}
const int32_t image_size = clip_get_image_size(ctx_clip);
struct clip_image_grid_shape grid_shape = get_anyres_image_grid_shape({img->nx,img->ny}, grid_pinpoints, image_size);
int n_img_pos_out;
clip_image_f32 * img_input = clip_image_f32_get_img(img_res_v.get(), 0);
clip_llava_handle_patches(ctx_clip, image_embd_v, grid_shape, image_embd, &n_img_pos_out, img_input);
*n_img_pos = n_img_pos_out;
for (size_t i = 0; i < image_embd_v.size(); i++) {
free(image_embd_v[i]);
}
image_embd_v.clear();
// debug image/segment/normalization content:
// clip_image_u8 * tmp = clip_image_u8_init();
// clip_image_convert_f32_to_u8(*image_feature, *tmp);
// clip_image_save_to_bmp(*tmp, "image_feature.bmp");
clip_image_f32 * img_res = clip_image_f32_get_img(img_res_v.get(), 0);
*n_img_pos = clip_n_output_tokens(ctx_clip, img_res);
bool encoded = clip_image_encode(ctx_clip, n_threads, img_res, image_embd); // image_embd shape is 576 x 4096
if (!encoded) {
LOG_ERR("Unable to encode image\n");
return false;
}
LOG_INF("%s: image embedding created: %d tokens\n", __func__, *n_img_pos);