| |
|
| | #if defined(_WIN32)
|
| | #define WIN32_LEAN_AND_MEAN
|
| | #ifndef NOMINMAX
|
| | # define NOMINMAX
|
| | #endif
|
| | #include <windows.h>
|
| | #endif
|
| |
|
| | #include "mtmd.h"
|
| | #include "mtmd-helper.h"
|
| | #include "llama.h"
|
| |
|
| | #include <algorithm>
|
| | #include <cinttypes>
|
| | #include <vector>
|
| |
|
| |
|
| |
|
| | #define MINIAUDIO_IMPLEMENTATION
|
| | #ifndef MTMD_AUDIO_DEBUG
|
| | # define MA_NO_ENCODING
|
| | #endif
|
| | #define MA_NO_DEVICE_IO
|
| | #define MA_NO_RESOURCE_MANAGER
|
| | #define MA_NO_NODE_GRAPH
|
| | #define MA_NO_ENGINE
|
| | #define MA_NO_GENERATION
|
| | #define MA_API static
|
| | #include "miniaudio/miniaudio.h"
|
| |
|
| | #define STB_IMAGE_IMPLEMENTATION
|
| | #include "stb/stb_image.h"
|
| |
|
| | #ifdef MTMD_INTERNAL_HEADER
|
| | #error "mtmd-helper is a public library outside of mtmd. it must not include internal headers"
|
| | #endif
|
| |
|
| |
|
| |
|
| |
|
| |
|
| | struct mtmd_helper_logger {
|
| | ggml_log_callback default_callback = [](ggml_log_level level, const char * text, void * user_data) {
|
| | (void) level;
|
| | (void) user_data;
|
| | fputs(text, stderr);
|
| | fflush(stderr);
|
| | };
|
| |
|
| | ggml_log_callback log_callback = default_callback;
|
| | void * log_callback_user_data;
|
| |
|
| | void log_v(enum ggml_log_level level, const char * format, va_list args) {
|
| | if (format == NULL) {
|
| | return;
|
| | }
|
| | va_list args_copy;
|
| | va_copy(args_copy, args);
|
| | char buffer[128];
|
| | int len = vsnprintf(buffer, 128, format, args);
|
| | if (len < 128) {
|
| | log_callback(level, buffer, log_callback_user_data);
|
| | } else {
|
| | char * buffer2 = (char *) calloc(len + 1, sizeof(char));
|
| | vsnprintf(buffer2, len + 1, format, args_copy);
|
| | buffer2[len] = 0;
|
| | log_callback(level, buffer2, log_callback_user_data);
|
| | free(buffer2);
|
| | }
|
| | va_end(args_copy);
|
| | }
|
| |
|
| | void log(enum ggml_log_level level, const char * format, ...) {
|
| | va_list args;
|
| | va_start(args, format);
|
| | log_v(level, format, args);
|
| | va_end(args);
|
| | }
|
| | } g_logger;
|
| |
|
| | #define LOG_INF(...) g_logger.log(GGML_LOG_LEVEL_INFO, __VA_ARGS__)
|
| | #define LOG_WRN(...) g_logger.log(GGML_LOG_LEVEL_WARN, __VA_ARGS__)
|
| | #define LOG_ERR(...) g_logger.log(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
|
| |
|
| | void mtmd_helper_log_set(ggml_log_callback log_callback, void * user_data) {
|
| | if (log_callback == nullptr) {
|
| | log_callback = g_logger.default_callback;
|
| | }
|
| | g_logger.log_callback = log_callback;
|
| | g_logger.log_callback_user_data = user_data;
|
| | mtmd_log_set(log_callback, user_data);
|
| | }
|
| |
|
| |
|
| |
|
| |
|
| |
|
| | size_t mtmd_helper_get_n_tokens(const mtmd_input_chunks * chunks) {
|
| | size_t n_tokens = 0;
|
| | for (size_t i = 0; i < mtmd_input_chunks_size(chunks); i++) {
|
| | auto chunk = mtmd_input_chunks_get(chunks, i);
|
| | n_tokens += mtmd_input_chunk_get_n_tokens(chunk);
|
| | }
|
| | return n_tokens;
|
| | }
|
| |
|
| | llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks) {
|
| | llama_pos n_pos = 0;
|
| | for (size_t i = 0; i < mtmd_input_chunks_size(chunks); i++) {
|
| | auto chunk = mtmd_input_chunks_get(chunks, i);
|
| | n_pos += mtmd_input_chunk_get_n_pos(chunk);
|
| | }
|
| | return n_pos;
|
| | }
|
| |
|
| |
|
| |
|
| | struct decode_embd_batch {
|
| | int n_pos_per_embd;
|
| | int n_mmproj_embd;
|
| | std::vector<llama_pos> pos;
|
| | std::vector<llama_pos> pos_view;
|
| | std::vector<int32_t> n_seq_id;
|
| | std::vector<llama_seq_id> seq_id_0;
|
| | std::vector<llama_seq_id *> seq_ids;
|
| | std::vector<int8_t> logits;
|
| | llama_batch batch;
|
| | decode_embd_batch(float * embd, int32_t n_tokens, int n_pos_per_embd, int n_mmproj_embd) : n_pos_per_embd(n_pos_per_embd), n_mmproj_embd(n_mmproj_embd) {
|
| | pos .resize(n_tokens * n_pos_per_embd);
|
| | n_seq_id.resize(n_tokens);
|
| | seq_ids .resize(n_tokens + 1);
|
| | logits .resize(n_tokens);
|
| | seq_id_0.resize(1);
|
| | seq_ids [n_tokens] = nullptr;
|
| | batch = {
|
| | n_tokens,
|
| | nullptr,
|
| | embd,
|
| | pos.data(),
|
| | n_seq_id.data(),
|
| | seq_ids.data(),
|
| | logits.data(),
|
| | };
|
| | }
|
| |
|
| | void set_position_normal(llama_pos pos_0, llama_seq_id seq_id) {
|
| | seq_id_0[0] = seq_id;
|
| | for (int i = 0; i < batch.n_tokens; i++) {
|
| | batch.pos [i] = pos_0 + i;
|
| | batch.n_seq_id[i] = 1;
|
| | batch.seq_id [i] = seq_id_0.data();
|
| | batch.logits [i] = false;
|
| | }
|
| | }
|
| |
|
| |
|
| | void set_position_mrope_2d(llama_pos pos_0, int nx, int ny, llama_seq_id seq_id) {
|
| | GGML_ASSERT(n_pos_per_embd == 4);
|
| | seq_id_0[0] = seq_id;
|
| | for (int y = 0; y < ny; y++) {
|
| | for (int x = 0; x < nx; x++) {
|
| | int i = y * nx + x;
|
| | pos[i ] = pos_0;
|
| | pos[i + batch.n_tokens ] = pos_0 + y;
|
| | pos[i + batch.n_tokens * 2] = pos_0 + x;
|
| | pos[i + batch.n_tokens * 3] = 0;
|
| | }
|
| | }
|
| | for (int i = 0; i < batch.n_tokens; i++) {
|
| | batch.n_seq_id[i] = 1;
|
| | batch.seq_id [i] = seq_id_0.data();
|
| | batch.logits [i] = false;
|
| | }
|
| | }
|
| |
|
| |
|
| | void set_position_mrope_1d(llama_pos pos_0, llama_seq_id seq_id) {
|
| | GGML_ASSERT(n_pos_per_embd == 4);
|
| | seq_id_0[0] = seq_id;
|
| | for (int i = 0; i < batch.n_tokens; i++) {
|
| | pos[i ] = pos_0 + i;
|
| | pos[i + batch.n_tokens ] = pos_0 + i;
|
| | pos[i + batch.n_tokens * 2] = pos_0 + i;
|
| | pos[i + batch.n_tokens * 3] = 0;
|
| | }
|
| | for (int i = 0; i < batch.n_tokens; i++) {
|
| | batch.n_seq_id[i] = 1;
|
| | batch.seq_id [i] = seq_id_0.data();
|
| | batch.logits [i] = false;
|
| | }
|
| | }
|
| |
|
| | llama_batch get_view(int offset, int n_tokens) {
|
| | llama_pos * pos_ptr;
|
| | pos_view.clear();
|
| | pos_view.reserve(n_tokens * n_pos_per_embd);
|
| | if (n_pos_per_embd > 1) {
|
| |
|
| |
|
| |
|
| | for (int i = 0; i < n_pos_per_embd; i++) {
|
| |
|
| |
|
| |
|
| | size_t src_idx = i * batch.n_tokens + offset;
|
| | pos_view.insert(pos_view.end(),
|
| | pos.data() + src_idx,
|
| | pos.data() + src_idx + n_tokens);
|
| | }
|
| | pos_ptr = pos_view.data();
|
| | } else {
|
| |
|
| | pos_ptr = pos.data() + offset;
|
| | }
|
| | return {
|
| | n_tokens,
|
| | nullptr,
|
| | batch.embd + offset * n_mmproj_embd,
|
| | pos_ptr,
|
| | batch.n_seq_id + offset,
|
| | batch.seq_id + offset,
|
| | batch.logits + offset,
|
| | };
|
| | }
|
| | };
|
| |
|
| |
|
| | int32_t mtmd_helper_decode_image_chunk(
|
| | mtmd_context * ctx,
|
| | struct llama_context * lctx,
|
| | const mtmd_input_chunk * chunk,
|
| | float * encoded_embd,
|
| | llama_pos n_past,
|
| | llama_seq_id seq_id,
|
| | int32_t n_batch,
|
| | llama_pos * new_n_past) {
|
| | auto chunk_type = mtmd_input_chunk_get_type(chunk);
|
| | const char * name = chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE ? "image" : "audio";
|
| | if (chunk_type == MTMD_INPUT_CHUNK_TYPE_TEXT) {
|
| | LOG_ERR("failed to decode chunk: input chunk not of image/audio type\n");
|
| | return -1;
|
| | }
|
| |
|
| | const llama_model * model = llama_get_model(lctx);
|
| | int n_mmproj_embd = llama_model_n_embd_inp(model);
|
| | int n_pos_per_embd = mtmd_decode_use_mrope(ctx) ? 4 : 1;
|
| |
|
| | int32_t n_tokens = mtmd_input_chunk_get_n_tokens(chunk);
|
| | int32_t i_batch = 0;
|
| | int32_t n_img_batches = (n_tokens + n_batch - 1) / n_batch;
|
| | decode_embd_batch batch_embd(encoded_embd, n_tokens, n_pos_per_embd, n_mmproj_embd);
|
| |
|
| | if (mtmd_decode_use_mrope(ctx)) {
|
| | if (chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE) {
|
| | const auto image_tokens = mtmd_input_chunk_get_tokens_image(chunk);
|
| | if (!image_tokens) {
|
| | LOG_ERR("failed to decode chunk: image tokens are null\n");
|
| | return -1;
|
| | }
|
| | const int nx = mtmd_image_tokens_get_nx(image_tokens);
|
| | const int ny = mtmd_image_tokens_get_ny(image_tokens);
|
| | batch_embd.set_position_mrope_2d(n_past, nx, ny, seq_id);
|
| | } else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
|
| | batch_embd.set_position_mrope_1d(n_past, seq_id);
|
| | } else {
|
| | GGML_ABORT("invalid chunk type for M-RoPE");
|
| | }
|
| | } else {
|
| | batch_embd.set_position_normal(n_past, seq_id);
|
| | }
|
| |
|
| | if (mtmd_decode_use_non_causal(ctx)) {
|
| | llama_set_causal_attn(lctx, false);
|
| |
|
| | }
|
| |
|
| | while (i_batch < n_img_batches) {
|
| | int pos_offset = i_batch*n_batch;
|
| | int n_tokens_batch = std::min(n_batch, n_tokens - pos_offset);
|
| | llama_batch batch_embd_view = batch_embd.get_view(pos_offset, n_tokens_batch);
|
| |
|
| | LOG_INF("decoding %s batch %d/%d, n_tokens_batch = %d\n", name, i_batch+1, n_img_batches, n_tokens_batch);
|
| |
|
| | int64_t t1 = ggml_time_ms();
|
| | int32_t ret = llama_decode(lctx, batch_embd_view);
|
| | if (ret != 0) {
|
| | LOG_ERR("failed to decode %s\n", name);
|
| | llama_set_causal_attn(lctx, true);
|
| | return ret;
|
| | }
|
| |
|
| | LOG_INF("%s decoded (batch %d/%d) in %" PRId64 " ms\n", name, i_batch+1, n_img_batches, ggml_time_ms() - t1);
|
| |
|
| | i_batch++;
|
| | }
|
| |
|
| | n_past += mtmd_input_chunk_get_n_pos(chunk);
|
| | *new_n_past = n_past;
|
| |
|
| | if (mtmd_decode_use_non_causal(ctx)) {
|
| | llama_set_causal_attn(lctx, true);
|
| | }
|
| | return 0;
|
| | }
|
| |
|
| | int32_t mtmd_helper_eval_chunk_single(mtmd_context * ctx,
|
| | struct llama_context * lctx,
|
| | const mtmd_input_chunk * chunk,
|
| | llama_pos n_past,
|
| | llama_seq_id seq_id,
|
| | int32_t n_batch,
|
| | bool logits_last,
|
| | llama_pos * new_n_past) {
|
| | int32_t ret;
|
| | llama_batch text_batch = llama_batch_init(n_batch, 0, 1);
|
| | auto chunk_type = mtmd_input_chunk_get_type(chunk);
|
| |
|
| | if (chunk_type == MTMD_INPUT_CHUNK_TYPE_TEXT) {
|
| | size_t n_tokens;
|
| | const auto tokens = mtmd_input_chunk_get_tokens_text(chunk, &n_tokens);
|
| |
|
| | size_t i = 0;
|
| | while (i < n_tokens) {
|
| | text_batch.n_tokens = 0;
|
| | for (; i < n_tokens && text_batch.n_tokens < n_batch; i++) {
|
| | int32_t j = text_batch.n_tokens;
|
| | text_batch.token [j] = tokens[i];
|
| | text_batch.pos [j] = n_past++;
|
| | text_batch.n_seq_id[j] = 1;
|
| | text_batch.seq_id [j][0] = seq_id;
|
| | text_batch.logits [j] = false;
|
| |
|
| | text_batch.n_tokens++;
|
| | }
|
| | bool is_last_token = (i == n_tokens);
|
| | if (logits_last && is_last_token) {
|
| | text_batch.logits[text_batch.n_tokens - 1] = true;
|
| | }
|
| | ret = llama_decode(lctx, text_batch);
|
| | if (ret != 0) {
|
| | LOG_ERR("failed to decode text\n");
|
| | llama_batch_free(text_batch);
|
| | return ret;
|
| | }
|
| | *new_n_past += text_batch.n_tokens;
|
| | }
|
| |
|
| | } else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE || chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
|
| | const char * name = chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE ? "image" : "audio";
|
| | int64_t t0 = ggml_time_ms();
|
| |
|
| | LOG_INF("encoding %s slice...\n", name);
|
| |
|
| | ret = mtmd_encode_chunk(ctx, chunk);
|
| | if (ret != 0) {
|
| | LOG_ERR("failed to encode %s slice\n", name);
|
| | llama_batch_free(text_batch);
|
| | return ret;
|
| | }
|
| |
|
| | LOG_INF("%s slice encoded in %" PRId64 " ms\n", name, ggml_time_ms() - t0);
|
| |
|
| | float * embd = mtmd_get_output_embd(ctx);
|
| | ret = mtmd_helper_decode_image_chunk(ctx, lctx, chunk, embd, n_past, seq_id, n_batch, new_n_past);
|
| | if (ret != 0) {
|
| | LOG_ERR("failed to decode %s\n", name);
|
| | llama_batch_free(text_batch);
|
| | return ret;
|
| | }
|
| | } else {
|
| | GGML_ABORT("chunk type not supported");
|
| | }
|
| |
|
| | llama_batch_free(text_batch);
|
| | return 0;
|
| | }
|
| |
|
| | int32_t mtmd_helper_eval_chunks(mtmd_context * ctx,
|
| | struct llama_context * lctx,
|
| | const mtmd_input_chunks * chunks,
|
| | llama_pos n_past,
|
| | llama_seq_id seq_id,
|
| | int32_t n_batch,
|
| | bool logits_last,
|
| | llama_pos * new_n_past) {
|
| | size_t n_chunks = mtmd_input_chunks_size(chunks);
|
| | if (n_chunks == 0) {
|
| | LOG_WRN("no chunks to eval\n");
|
| | return 0;
|
| | }
|
| |
|
| | for (size_t i = 0; i < n_chunks; i++) {
|
| | bool chunk_logits_last = (i == n_chunks - 1) && logits_last;
|
| | auto chunk = mtmd_input_chunks_get(chunks, i);
|
| |
|
| | int32_t res = mtmd_helper_eval_chunk_single(ctx, lctx, chunk, n_past, seq_id, n_batch, chunk_logits_last, &n_past);
|
| | if (res != 0) {
|
| | LOG_ERR("failed to eval chunk %zu\n", i);
|
| | return res;
|
| | }
|
| | *new_n_past = n_past;
|
| | }
|
| |
|
| | return 0;
|
| | }
|
| |
|
| | namespace audio_helpers {
|
| |
|
| | static bool is_audio_file(const char * buf, size_t len) {
|
| | if (len < 12) {
|
| | return false;
|
| | }
|
| |
|
| |
|
| |
|
| | bool is_wav = memcmp(buf, "RIFF", 4) == 0 && memcmp(buf + 8, "WAVE", 4) == 0;
|
| | bool is_mp3 = len >= 3 && (
|
| | memcmp(buf, "ID3", 3) == 0 ||
|
| |
|
| | ((unsigned char)buf[0] == 0xFF && ((unsigned char)buf[1] & 0xE0) == 0xE0)
|
| | );
|
| | bool is_flac = memcmp(buf, "fLaC", 4) == 0;
|
| |
|
| | return is_wav || is_mp3 || is_flac;
|
| | }
|
| |
|
| |
|
| | static bool decode_audio_from_buf(const unsigned char * buf_in, size_t len, int target_sampler_rate, std::vector<float> & pcmf32_mono) {
|
| | ma_result result;
|
| | const int channels = 1;
|
| | ma_decoder_config decoder_config = ma_decoder_config_init(ma_format_f32, channels, target_sampler_rate);
|
| | ma_decoder decoder;
|
| |
|
| | result = ma_decoder_init_memory(buf_in, len, &decoder_config, &decoder);
|
| | if (result != MA_SUCCESS) {
|
| | return false;
|
| | }
|
| |
|
| | ma_uint64 frame_count;
|
| | ma_uint64 frames_read;
|
| | result = ma_decoder_get_length_in_pcm_frames(&decoder, &frame_count);
|
| | if (result != MA_SUCCESS) {
|
| | ma_decoder_uninit(&decoder);
|
| | return false;
|
| | }
|
| |
|
| | pcmf32_mono.resize(frame_count);
|
| | result = ma_decoder_read_pcm_frames(&decoder, pcmf32_mono.data(), frame_count, &frames_read);
|
| | if (result != MA_SUCCESS) {
|
| | ma_decoder_uninit(&decoder);
|
| | return false;
|
| | }
|
| |
|
| | #ifdef MTMD_AUDIO_DEBUG
|
| |
|
| | ma_encoder_config config = ma_encoder_config_init(ma_encoding_format_wav, ma_format_f32, 1, target_sampler_rate);
|
| | ma_encoder encoder;
|
| | ma_encoder_init_file("output.wav", &config, &encoder);
|
| | ma_encoder_write_pcm_frames(&encoder, pcmf32_mono.data(), pcmf32_mono.size(), &frames_read);
|
| | ma_encoder_uninit(&encoder);
|
| | #endif
|
| |
|
| | ma_decoder_uninit(&decoder);
|
| | return true;
|
| | }
|
| |
|
| | }
|
| |
|
| | mtmd_bitmap * mtmd_helper_bitmap_init_from_buf(mtmd_context * ctx, const unsigned char * buf, size_t len) {
|
| | if (audio_helpers::is_audio_file((const char *)buf, len)) {
|
| | std::vector<float> pcmf32;
|
| | int bitrate = mtmd_get_audio_bitrate(ctx);
|
| | if (bitrate < 0) {
|
| | LOG_ERR("This model does not support audio input\n");
|
| | return nullptr;
|
| | }
|
| | if (!audio_helpers::decode_audio_from_buf(buf, len, bitrate, pcmf32)) {
|
| | LOG_ERR("Unable to read WAV audio file from buffer\n");
|
| | return nullptr;
|
| | }
|
| | return mtmd_bitmap_init_from_audio(pcmf32.size(), pcmf32.data());
|
| | }
|
| |
|
| |
|
| | mtmd_bitmap * result = nullptr;
|
| | {
|
| | int nx, ny, nc;
|
| | auto * data = stbi_load_from_memory(buf, len, &nx, &ny, &nc, 3);
|
| | if (!data) {
|
| | LOG_ERR("%s: failed to decode image bytes\n", __func__);
|
| | return nullptr;
|
| | }
|
| | result = mtmd_bitmap_init(nx, ny, data);
|
| | stbi_image_free(data);
|
| | }
|
| | return result;
|
| | }
|
| |
|
| | mtmd_bitmap * mtmd_helper_bitmap_init_from_file(mtmd_context * ctx, const char * fname) {
|
| | std::vector<unsigned char> buf;
|
| | FILE * f = fopen(fname, "rb");
|
| | if (!f) {
|
| | LOG_ERR("Unable to open file %s: %s\n", fname, strerror(errno));
|
| | return nullptr;
|
| | }
|
| |
|
| | fseek(f, 0, SEEK_END);
|
| | long file_size = ftell(f);
|
| | fseek(f, 0, SEEK_SET);
|
| | buf.resize(file_size);
|
| |
|
| | size_t n_read = fread(buf.data(), 1, file_size, f);
|
| | fclose(f);
|
| | if (n_read != (size_t)file_size) {
|
| | LOG_ERR("Failed to read entire file %s", fname);
|
| | return nullptr;
|
| | }
|
| |
|
| | return mtmd_helper_bitmap_init_from_buf(ctx, buf.data(), buf.size());
|
| | }
|
| |
|