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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-24 13:28:50 +01:00
server : support llava 1.6 (#5553)
* server: init working 1.6 * move clip_image to header * remove commented code * remove c++ style from header * remove todo * expose llava_image_embed_make_with_clip_img * fix zig build
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06bf2cf8c4
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2
Makefile
2
Makefile
@ -719,7 +719,7 @@ save-load-state: examples/save-load-state/save-load-state.cpp ggml.o llama.o $(C
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$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
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$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
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server: examples/server/server.cpp examples/server/oai.hpp examples/server/utils.hpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp examples/llava/clip.cpp examples/llava/clip.h common/stb_image.h ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
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server: examples/server/server.cpp examples/server/oai.hpp examples/server/utils.hpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp examples/llava/clip.cpp examples/llava/clip.h examples/llava/llava.h examples/llava/llava.cpp common/stb_image.h ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
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$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
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$(CXX) $(CXXFLAGS) -c examples/llava/clip.cpp -o $(call GET_OBJ_FILE, examples/llava/clip.cpp) -Wno-cast-qual
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$(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h %.hpp $< examples/llava/clip.cpp,$^) $(call GET_OBJ_FILE, $<) $(call GET_OBJ_FILE, examples/llava/clip.cpp) -o $@ $(LDFLAGS) $(LWINSOCK2)
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@ -123,6 +123,7 @@ pub fn build(b: *std.build.Builder) !void {
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const grammar_parser = make.obj("grammar-parser", "common/grammar-parser.cpp");
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const train = make.obj("train", "common/train.cpp");
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const clip = make.obj("clip", "examples/llava/clip.cpp");
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const llava = make.obj("llava", "examples/llava/llava.cpp");
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_ = make.exe("main", "examples/main/main.cpp", &.{ ggml, ggml_alloc, ggml_backend, ggml_quants, llama, common, buildinfo, sampling, console, grammar_parser });
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_ = make.exe("quantize", "examples/quantize/quantize.cpp", &.{ ggml, ggml_alloc, ggml_backend, ggml_quants, llama, common, buildinfo });
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@ -131,7 +132,7 @@ pub fn build(b: *std.build.Builder) !void {
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_ = make.exe("finetune", "examples/finetune/finetune.cpp", &.{ ggml, ggml_alloc, ggml_backend, ggml_quants, llama, common, buildinfo, train });
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_ = make.exe("train-text-from-scratch", "examples/train-text-from-scratch/train-text-from-scratch.cpp", &.{ ggml, ggml_alloc, ggml_backend, ggml_quants, llama, common, buildinfo, train });
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const server = make.exe("server", "examples/server/server.cpp", &.{ ggml, ggml_alloc, ggml_backend, ggml_quants, llama, common, buildinfo, sampling, grammar_parser, clip });
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const server = make.exe("server", "examples/server/server.cpp", &.{ ggml, ggml_alloc, ggml_backend, ggml_quants, llama, common, buildinfo, sampling, grammar_parser, clip, llava });
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if (server.target.isWindows()) {
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server.linkSystemLibrary("ws2_32");
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}
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@ -311,7 +311,7 @@ bool llava_validate_embed_size(const llama_context * ctx_llama, const clip_ctx *
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return true;
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}
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static bool llava_image_embed_make_with_clip_img(clip_ctx * ctx_clip, int n_threads, const clip_image_u8 * img, float ** image_embd_out, int * n_img_pos_out) {
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bool llava_image_embed_make_with_clip_img(clip_ctx * ctx_clip, int n_threads, const clip_image_u8 * img, float ** image_embd_out, int * n_img_pos_out) {
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float * image_embd = (float *)malloc(clip_embd_nbytes(ctx_clip)*6); // TODO: base on gridsize/llava model
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if (!image_embd) {
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fprintf(stderr, "Unable to allocate memory for image embeddings\n");
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@ -31,6 +31,8 @@ struct llava_image_embed {
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/** sanity check for clip <-> llava embed size match */
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LLAVA_API bool llava_validate_embed_size(const llama_context * ctx_llama, const clip_ctx * ctx_clip);
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LLAVA_API bool llava_image_embed_make_with_clip_img(clip_ctx * ctx_clip, int n_threads, const clip_image_u8 * img, float ** image_embd_out, int * n_img_pos_out);
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/** build an image embed from image file bytes */
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LLAVA_API struct llava_image_embed * llava_image_embed_make_with_bytes(struct clip_ctx * ctx_clip, int n_threads, const unsigned char * image_bytes, int image_bytes_length);
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/** build an image embed from a path to an image filename */
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@ -5,6 +5,7 @@
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#include "oai.hpp"
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#include "../llava/clip.h"
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#include "../llava/llava.h"
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#include "stb_image.h"
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@ -997,43 +998,12 @@ struct llama_server_context
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{
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continue;
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}
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clip_image_f32_batch img_res_v;
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img_res_v.size = 0;
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img_res_v.data = nullptr;
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if (!clip_image_preprocess(clp_ctx, img.img_data, img_res_v))
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{
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LOG_TEE("Error processing the given image");
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clip_free(clp_ctx);
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clip_image_f32_batch_free(img_res_v);
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return false;
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}
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if (img_res_v.size == 0)
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{
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if (!llava_image_embed_make_with_clip_img(clp_ctx, params.n_threads, img.img_data, &img.image_embedding, &img.image_tokens)) {
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LOG_TEE("Error processing the given image");
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return false;
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}
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// note: assumes only one image was returned by clip_image_preprocess
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clip_image_f32 * img_res = img_res_v.data;
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img.image_tokens = clip_n_patches(clp_ctx);
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img.image_embedding = (float *)malloc(clip_embd_nbytes(clp_ctx));
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if (!img.image_embedding)
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{
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LOG_TEE("Unable to allocate memory for image embeddings\n");
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clip_image_f32_batch_free(img_res_v);
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clip_free(clp_ctx);
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return false;
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}
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LOG_TEE("slot %i - encoding image [id: %i]\n", slot.id, img.id);
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if (!clip_image_encode(clp_ctx, params.n_threads, img_res, img.image_embedding))
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{
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LOG_TEE("Unable to encode image\n");
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clip_image_f32_batch_free(img_res_v);
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return false;
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}
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clip_image_f32_batch_free(img_res_v);
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img.request_encode_image = false;
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}
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