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	bfd322796c
	
	
	
		
			
			* mtmd : fix memory in mtmd_helper_eval_chunk_single * mtmd-cli : fix mem leak * Update tools/mtmd/mtmd-cli.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
		
			
				
	
	
		
			461 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			461 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // fix problem with std::min and std::max
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| #if defined(_WIN32)
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| #define WIN32_LEAN_AND_MEAN
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| #ifndef NOMINMAX
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| #   define NOMINMAX
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| #endif
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| #include <windows.h>
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| #endif
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| 
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| #include "mtmd.h"
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| #include "mtmd-helper.h"
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| #include "llama.h"
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| 
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| #include <algorithm>
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| #include <cinttypes>
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| #include <vector>
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| 
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| //#define MTMD_AUDIO_DEBUG
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| 
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| #define MINIAUDIO_IMPLEMENTATION
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| #ifndef MTMD_AUDIO_DEBUG
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| #   define MA_NO_ENCODING
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| #endif
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| #define MA_NO_DEVICE_IO
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| #define MA_NO_RESOURCE_MANAGER
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| #define MA_NO_NODE_GRAPH
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| #define MA_NO_ENGINE
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| #define MA_NO_GENERATION
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| #define MA_API static
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| #include "miniaudio/miniaudio.h"
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| 
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| #define STB_IMAGE_IMPLEMENTATION
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| #include "stb/stb_image.h"
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| 
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| #define LOG_INF(...) fprintf(stdout, __VA_ARGS__)
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| #define LOG_ERR(...) fprintf(stderr, __VA_ARGS__)
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| 
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| size_t mtmd_helper_get_n_tokens(const mtmd_input_chunks * chunks) {
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|     size_t n_tokens = 0;
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|     for (size_t i = 0; i < mtmd_input_chunks_size(chunks); i++) {
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|         auto chunk = mtmd_input_chunks_get(chunks, i);
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|         n_tokens += mtmd_input_chunk_get_n_tokens(chunk);
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|     }
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|     return n_tokens;
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| }
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| 
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| llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks) {
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|     llama_pos n_pos = 0;
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|     for (size_t i = 0; i < mtmd_input_chunks_size(chunks); i++) {
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|         auto chunk = mtmd_input_chunks_get(chunks, i);
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|         n_pos += mtmd_input_chunk_get_n_pos(chunk);
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|     }
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|     return n_pos;
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| }
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| 
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| // helper struct to make working with embd batch easier
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| // note: this will be removed after llama_batch_ext refactoring
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| struct decode_embd_batch {
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|     int n_pos_per_embd;
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|     int n_mmproj_embd;
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|     std::vector<llama_pos>      pos;
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|     std::vector<llama_pos>      pos_view; // used by mrope
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|     std::vector<int32_t>        n_seq_id;
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|     std::vector<llama_seq_id>   seq_id_0;
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|     std::vector<llama_seq_id *> seq_ids;
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|     std::vector<int8_t>         logits;
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|     llama_batch batch;
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|     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) {
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|         pos     .resize(n_tokens * n_pos_per_embd);
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|         n_seq_id.resize(n_tokens);
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|         seq_ids .resize(n_tokens + 1);
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|         logits  .resize(n_tokens);
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|         seq_id_0.resize(1);
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|         seq_ids [n_tokens] = nullptr;
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|         batch = {
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|             /*n_tokens       =*/ n_tokens,
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|             /*tokens         =*/ nullptr,
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|             /*embd           =*/ embd,
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|             /*pos            =*/ pos.data(),
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|             /*n_seq_id       =*/ n_seq_id.data(),
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|             /*seq_id         =*/ seq_ids.data(),
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|             /*logits         =*/ logits.data(),
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|         };
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|     }
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| 
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|     void set_position_normal(llama_pos pos_0, llama_seq_id seq_id) {
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|         seq_id_0[0] = seq_id;
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|         for (int i = 0; i < batch.n_tokens; i++) {
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|             batch.pos     [i] = pos_0 + i;
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|             batch.n_seq_id[i] = 1;
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|             batch.seq_id  [i] = seq_id_0.data();
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|             batch.logits  [i] = false;
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|         }
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|     }
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| 
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|     // M-RoPE for image
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|     void set_position_mrope_2d(llama_pos pos_0, int nx, int ny, llama_seq_id seq_id) {
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|         GGML_ASSERT(n_pos_per_embd == 4);
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|         seq_id_0[0] = seq_id;
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|         for (int y = 0; y < ny; y++) {
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|             for (int x = 0; x < nx; x++) {
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|                 int i = y * nx + x;
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|                 pos[i                     ] = pos_0;
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|                 pos[i + batch.n_tokens    ] = pos_0 + y;
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|                 pos[i + batch.n_tokens * 2] = pos_0 + x;
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|                 pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
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|             }
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|         }
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|         for (int i = 0; i < batch.n_tokens; i++) {
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|             batch.n_seq_id[i] = 1;
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|             batch.seq_id  [i] = seq_id_0.data();
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|             batch.logits  [i] = false;
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|         }
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|     }
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| 
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|     // M-RoPE for audio
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|     void set_position_mrope_1d(llama_pos pos_0, llama_seq_id seq_id) {
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|         GGML_ASSERT(n_pos_per_embd == 4);
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|         seq_id_0[0] = seq_id;
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|         for (int i = 0; i < batch.n_tokens; i++) {
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|             pos[i                     ] = pos_0 + i;
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|             pos[i + batch.n_tokens    ] = pos_0 + i;
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|             pos[i + batch.n_tokens * 2] = pos_0 + i;
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|             pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
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|         }
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|         for (int i = 0; i < batch.n_tokens; i++) {
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|             batch.n_seq_id[i] = 1;
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|             batch.seq_id  [i] = seq_id_0.data();
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|             batch.logits  [i] = false;
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|         }
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|     }
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| 
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|     llama_batch get_view(int offset, int n_tokens) {
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|         llama_pos * pos_ptr;
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|         pos_view.clear();
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|         pos_view.reserve(n_tokens * n_pos_per_embd);
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|         if (n_pos_per_embd > 1) {
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|             // mrope
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|             // for example, with layout of src: 1234...1234...1234...1234...
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|             //       offset 2 will give us dst: 34...34...34...34...
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|             for (int i = 0; i < n_pos_per_embd; i++) {
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|                 // assume n_tokens is less than or equal to batch.n_tokens
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|                 // batch.n_tokens is number of **total** tokens
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|                 // n_tokens is number of viewed token
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|                 size_t src_idx = i * batch.n_tokens + offset;
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|                 pos_view.insert(pos_view.end(),
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|                     pos.data() + src_idx,
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|                     pos.data() + src_idx + n_tokens);
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|             }
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|             pos_ptr = pos_view.data();
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|         } else {
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|             // normal
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|             pos_ptr = pos.data() + offset;
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|         }
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|         return {
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|             /*n_tokens       =*/ n_tokens,
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|             /*tokens         =*/ nullptr,
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|             /*embd           =*/ batch.embd     + offset * n_mmproj_embd,
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|             /*pos            =*/ pos_ptr,
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|             /*n_seq_id       =*/ batch.n_seq_id + offset,
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|             /*seq_id         =*/ batch.seq_id   + offset,
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|             /*logits         =*/ batch.logits   + offset,
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|         };
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|     }
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| };
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| 
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| // Helper function for decoding an image whose embeddings have already been calculated
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| int32_t mtmd_helper_decode_image_chunk(
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|         mtmd_context * ctx,
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|         struct llama_context * lctx,
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|         const mtmd_input_chunk * chunk,
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|         float * encoded_embd,
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|         llama_pos n_past,
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|         llama_seq_id seq_id,
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|         int32_t n_batch,
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|         llama_pos * new_n_past) {
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|     auto chunk_type = mtmd_input_chunk_get_type(chunk);
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|     const char * name = chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE ? "image" : "audio";
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|     if (chunk_type == MTMD_INPUT_CHUNK_TYPE_TEXT) {
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|         LOG_ERR("failed to decode chunk: input chunk not of image/audio type\n");
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|         return -1;
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|     }
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| 
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|     const llama_model * model = llama_get_model(lctx);
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|     int n_mmproj_embd = llama_model_n_embd(model);
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|     int n_pos_per_embd = mtmd_decode_use_mrope(ctx) ? 4 : 1;
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| 
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|     int32_t n_tokens = mtmd_input_chunk_get_n_tokens(chunk);
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|     int32_t i_batch = 0;
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|     int32_t n_img_batches = GGML_PAD(n_tokens, n_batch) / n_batch;
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|     decode_embd_batch batch_embd(encoded_embd, n_tokens, n_pos_per_embd, n_mmproj_embd);
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| 
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|     if (mtmd_decode_use_mrope(ctx)) {
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|         if (chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE) {
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|             const auto image_tokens = mtmd_input_chunk_get_tokens_image(chunk);
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|             if (!image_tokens) {
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|                 LOG_ERR("failed to decode chunk: image tokens are null\n");
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|                 return -1;
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|             }
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|             const int nx = mtmd_image_tokens_get_nx(image_tokens);
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|             const int ny = mtmd_image_tokens_get_ny(image_tokens);
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|             batch_embd.set_position_mrope_2d(n_past, nx, ny, seq_id);
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|         } else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
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|             batch_embd.set_position_mrope_1d(n_past, seq_id);
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|         } else {
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|             GGML_ABORT("invalid chunk type for M-RoPE");
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|         }
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|     } else {
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|         batch_embd.set_position_normal(n_past, seq_id);
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|     }
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| 
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|     if (mtmd_decode_use_non_causal(ctx)) {
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|         llama_set_causal_attn(lctx, false);
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|         // TODO @ngxson : need to make sure only one image is processed at a time, and n_ubatch must be enough to hold the image
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|     }
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| 
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|     while (i_batch < n_img_batches) { // split into batches
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|         int pos_offset = i_batch*n_batch;
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|         int n_tokens_batch = std::min(n_batch, n_tokens - pos_offset);
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|         llama_batch batch_embd_view = batch_embd.get_view(pos_offset, n_tokens_batch);
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| 
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|         LOG_INF("decoding %s batch %d/%d, n_tokens_batch = %d\n", name, i_batch+1, n_img_batches, n_tokens_batch);
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| 
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|         int64_t t1 = ggml_time_ms();
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|         int32_t ret = llama_decode(lctx, batch_embd_view);
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|         if (ret != 0) {
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|             LOG_ERR("failed to decode %s\n", name);
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|             llama_set_causal_attn(lctx, true); // restore causal attn
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|             return ret;
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|         }
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| 
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|         LOG_INF("%s decoded (batch %d/%d) in %" PRId64 " ms\n", name, i_batch+1, n_img_batches, ggml_time_ms() - t1);
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| 
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|         i_batch++;
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|     }
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| 
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|     n_past += mtmd_input_chunk_get_n_pos(chunk);
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|     *new_n_past = n_past;
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| 
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|     if (mtmd_decode_use_non_causal(ctx)) {
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|         llama_set_causal_attn(lctx, true);
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|     }
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|     return 0;
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| }
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| 
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| int32_t mtmd_helper_eval_chunk_single(mtmd_context * ctx,
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|         struct llama_context * lctx,
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|         const mtmd_input_chunk * chunk,
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|         llama_pos n_past,
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|         llama_seq_id seq_id,
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|         int32_t n_batch,
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|         bool logits_last,
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|         llama_pos * new_n_past) {
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|     int32_t ret;
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|     llama_batch text_batch = llama_batch_init(n_batch, 0, 1);
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|     auto chunk_type = mtmd_input_chunk_get_type(chunk);
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| 
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|     if (chunk_type == MTMD_INPUT_CHUNK_TYPE_TEXT) {
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|         size_t n_tokens;
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|         const auto tokens = mtmd_input_chunk_get_tokens_text(chunk, &n_tokens);
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|         // LOG_INF("decoding text chunk, n_tokens = %zu\n", n_tokens);
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|         size_t i = 0;
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|         while (i < n_tokens) { // split into batches
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|             text_batch.n_tokens = 0; // clear the batch
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|             for (; i < n_tokens && text_batch.n_tokens < n_batch; i++) {
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|                 int32_t j = text_batch.n_tokens;
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|                 text_batch.token   [j]    = tokens[i];
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|                 text_batch.pos     [j]    = n_past++;
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|                 text_batch.n_seq_id[j]    = 1;
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|                 text_batch.seq_id  [j][0] = seq_id;
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|                 text_batch.logits  [j]    = false;
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| 
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|                 text_batch.n_tokens++;
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|             }
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|             bool is_last_token = (i == n_tokens);
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|             if (logits_last && is_last_token) {
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|                 text_batch.logits[text_batch.n_tokens - 1] = true;
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|             }
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|             ret = llama_decode(lctx, text_batch);
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|             if (ret != 0) {
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|                 LOG_ERR("failed to decode text\n");
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|                 llama_batch_free(text_batch);
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|                 return ret;
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|             }
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|             *new_n_past += text_batch.n_tokens;
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|         }
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| 
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|     } else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE || chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
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|         const char * name = chunk_type == MTMD_INPUT_CHUNK_TYPE_IMAGE ? "image" : "audio";
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|         int64_t t0 = ggml_time_ms();
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| 
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|         LOG_INF("encoding %s slice...\n", name);
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| 
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|         ret = mtmd_encode_chunk(ctx, chunk);
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|         if (ret != 0) {
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|             LOG_ERR("failed to encode %s slice\n", name);
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|             llama_batch_free(text_batch);
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|             return ret;
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|         }
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| 
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|         LOG_INF("%s slice encoded in %" PRId64 " ms\n", name, ggml_time_ms() - t0);
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| 
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|         float * embd = mtmd_get_output_embd(ctx);
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|         ret = mtmd_helper_decode_image_chunk(ctx, lctx, chunk, embd, n_past, seq_id, n_batch, new_n_past);
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|         if (ret != 0) {
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|             LOG_ERR("failed to decode %s\n", name);
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|             llama_batch_free(text_batch);
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|             return ret;
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|         }
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|     } else {
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|         GGML_ABORT("chunk type not supported");
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|     }
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| 
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|     llama_batch_free(text_batch);
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|     return 0;
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| }
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| 
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| int32_t mtmd_helper_eval_chunks(mtmd_context * ctx,
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|                                 struct llama_context * lctx,
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|                                 const mtmd_input_chunks * chunks,
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|                                 llama_pos n_past,
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|                                 llama_seq_id seq_id,
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|                                 int32_t n_batch,
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|                                 bool logits_last,
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|                                 llama_pos * new_n_past) {
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|     size_t n_chunks = mtmd_input_chunks_size(chunks);
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|     if (n_chunks == 0) {
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|         LOG_ERR("no chunks to eval\n");
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|         return 0;
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|     }
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| 
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|     for (size_t i = 0; i < n_chunks; i++) {
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|         bool chunk_logits_last = (i == n_chunks - 1) && logits_last;
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|         auto chunk = mtmd_input_chunks_get(chunks, i);
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| 
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|         int32_t res = mtmd_helper_eval_chunk_single(ctx, lctx, chunk, n_past, seq_id, n_batch, chunk_logits_last, &n_past);
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|         if (res != 0) {
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|             LOG_ERR("failed to eval chunk %zu\n", i);
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|             return res;
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|         }
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|         *new_n_past = n_past;
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|     }
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| 
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|     return 0;
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| }
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| 
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| namespace audio_helpers {
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| 
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| static bool is_audio_file(const char * buf, size_t len) {
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|     if (len < 12) {
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|         return false;
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|     }
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| 
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|     // RIFF ref: https://en.wikipedia.org/wiki/Resource_Interchange_File_Format
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|     // WAV ref: https://www.mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/WAVE.html
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|     bool is_wav = memcmp(buf, "RIFF", 4) == 0 && memcmp(buf + 8, "WAVE", 4) == 0;
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|     bool is_mp3 = len >= 3 && (
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|         memcmp(buf, "ID3", 3) == 0 ||
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|         // Check for MPEG sync word (simplified check)
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|         ((unsigned char)buf[0] == 0xFF && ((unsigned char)buf[1] & 0xE0) == 0xE0)
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|     );
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|     bool is_flac = memcmp(buf, "fLaC", 4) == 0;
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| 
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|     return is_wav || is_mp3 || is_flac;
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| }
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| 
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| // returns true if the buffer is a valid audio file
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| static bool decode_audio_from_buf(const unsigned char * buf_in, size_t len, int target_sampler_rate, std::vector<float> & pcmf32_mono) {
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|     ma_result result;
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|     const int channels = 1;
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|     ma_decoder_config decoder_config = ma_decoder_config_init(ma_format_f32, channels, target_sampler_rate);
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|     ma_decoder decoder;
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| 
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|     result = ma_decoder_init_memory(buf_in, len, &decoder_config, &decoder);
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|     if (result != MA_SUCCESS) {
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|         return false;
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|     }
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| 
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|     ma_uint64 frame_count;
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|     ma_uint64 frames_read;
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|     result = ma_decoder_get_length_in_pcm_frames(&decoder, &frame_count);
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|     if (result != MA_SUCCESS) {
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|         ma_decoder_uninit(&decoder);
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|         return false;
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|     }
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| 
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|     pcmf32_mono.resize(frame_count);
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|     result = ma_decoder_read_pcm_frames(&decoder, pcmf32_mono.data(), frame_count, &frames_read);
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|     if (result != MA_SUCCESS) {
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|         ma_decoder_uninit(&decoder);
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|         return false;
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|     }
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| 
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| #ifdef MTMD_AUDIO_DEBUG
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|     // save audio to wav file
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|     ma_encoder_config config = ma_encoder_config_init(ma_encoding_format_wav, ma_format_f32, 1, target_sampler_rate);
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|     ma_encoder encoder;
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|     ma_encoder_init_file("output.wav", &config, &encoder);
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|     ma_encoder_write_pcm_frames(&encoder, pcmf32_mono.data(), pcmf32_mono.size(), &frames_read);
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|     ma_encoder_uninit(&encoder);
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| #endif
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| 
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|     ma_decoder_uninit(&decoder);
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|     return true;
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| }
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| 
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| } // namespace audio_helpers
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| 
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| mtmd_bitmap * mtmd_helper_bitmap_init_from_buf(mtmd_context * ctx, const unsigned char * buf, size_t len) {
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|     if (audio_helpers::is_audio_file((const char *)buf, len)) {
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|         std::vector<float> pcmf32;
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|         int bitrate = mtmd_get_audio_bitrate(ctx);
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|         if (bitrate < 0) {
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|             LOG_ERR("This model does not support audio input\n");
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|             return nullptr;
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|         }
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|         if (!audio_helpers::decode_audio_from_buf(buf, len, bitrate, pcmf32)) {
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|             LOG_ERR("Unable to read WAV audio file from buffer\n");
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|             return nullptr;
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|         }
 | |
|         return mtmd_bitmap_init_from_audio(pcmf32.size(), pcmf32.data());
 | |
|     }
 | |
| 
 | |
|     // otherwise, we assume it's an image
 | |
|     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());
 | |
| }
 |