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	 436e561931
			
		
	
	436e561931
	
	
	
		
			
			* Be more strict about converting float to double * Test equivalence of round, SILU implementations Test module is commented out in CMakeLists.txt because the tests may take a long time, depending on how much the compiler optimizes. * Fix softmax in perplexity.cpp * all : prefer float over double where appropriate * perplexity : add <cmath> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
		
			
				
	
	
		
			153 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			153 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| #ifndef LLAMA_H
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| #define LLAMA_H
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| 
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| #include <stddef.h>
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| #include <stdint.h>
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| #include <stdbool.h>
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| 
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| #ifdef LLAMA_SHARED
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| #    ifdef _WIN32
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| #        ifdef LLAMA_BUILD
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| #            define LLAMA_API __declspec(dllexport)
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| #        else
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| #            define LLAMA_API __declspec(dllimport)
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| #        endif
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| #    else
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| #        define LLAMA_API __attribute__ ((visibility ("default")))
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| #    endif
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| #else
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| #    define LLAMA_API
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| #endif
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| 
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| #define LLAMA_FILE_VERSION 1
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| #define LLAMA_FILE_MAGIC 0x67676d66 // 'ggmf' in hex
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| #define LLAMA_FILE_MAGIC_UNVERSIONED 0x67676d6c // pre-versioned files
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| 
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| #ifdef __cplusplus
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| extern "C" {
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| #endif
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| 
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|     //
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|     // C interface
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|     //
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|     // TODO: show sample usage
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|     //
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| 
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|     struct llama_context;
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| 
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|     typedef int llama_token;
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| 
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|     typedef struct llama_token_data {
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|         llama_token id;  // token id
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| 
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|         float p;     // probability of the token
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|         float plog;  // log probability of the token
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| 
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|     } llama_token_data;
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| 
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|     typedef void (*llama_progress_callback)(float progress, void *ctx);
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| 
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|     struct llama_context_params {
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|         int n_ctx;   // text context
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|         int n_parts; // -1 for default
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|         int seed;    // RNG seed, 0 for random
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| 
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|         bool f16_kv;     // use fp16 for KV cache
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|         bool logits_all; // the llama_eval() call computes all logits, not just the last one
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|         bool vocab_only; // only load the vocabulary, no weights
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|         bool use_mlock;  // force system to keep model in RAM
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|         bool embedding;  // embedding mode only
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| 
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|         // called with a progress value between 0 and 1, pass NULL to disable
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|         llama_progress_callback progress_callback;
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|         // context pointer passed to the progress callback
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|         void * progress_callback_user_data;
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|     };
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| 
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|     LLAMA_API struct llama_context_params llama_context_default_params();
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| 
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|     // Various functions for loading a ggml llama model.
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|     // Allocate (almost) all memory needed for the model.
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|     // Return NULL on failure
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|     LLAMA_API struct llama_context * llama_init_from_file(
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|                              const char * path_model,
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|             struct llama_context_params   params);
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| 
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|     // Frees all allocated memory
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|     LLAMA_API void llama_free(struct llama_context * ctx);
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| 
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|     // TODO: not great API - very likely to change
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|     // Returns 0 on success
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|     LLAMA_API int llama_model_quantize(
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|             const char * fname_inp,
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|             const char * fname_out,
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|                    int   itype);
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| 
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|     // Run the llama inference to obtain the logits and probabilities for the next token.
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|     // tokens + n_tokens is the provided batch of new tokens to process
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|     // n_past is the number of tokens to use from previous eval calls
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|     // Returns 0 on success
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|     LLAMA_API int llama_eval(
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|             struct llama_context * ctx,
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|                const llama_token * tokens,
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|                              int   n_tokens,
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|                              int   n_past,
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|                              int   n_threads);
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| 
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|     // Convert the provided text into tokens.
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|     // The tokens pointer must be large enough to hold the resulting tokens.
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|     // Returns the number of tokens on success, no more than n_max_tokens
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|     // Returns a negative number on failure - the number of tokens that would have been returned
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|     // TODO: not sure if correct
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|     LLAMA_API int llama_tokenize(
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|             struct llama_context * ctx,
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|                       const char * text,
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|                      llama_token * tokens,
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|                              int   n_max_tokens,
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|                             bool   add_bos);
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| 
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|     LLAMA_API int llama_n_vocab(struct llama_context * ctx);
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|     LLAMA_API int llama_n_ctx  (struct llama_context * ctx);
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|     LLAMA_API int llama_n_embd (struct llama_context * ctx);
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| 
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|     // Token logits obtained from the last call to llama_eval()
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|     // The logits for the last token are stored in the last row
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|     // Can be mutated in order to change the probabilities of the next token
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|     // Rows: n_tokens
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|     // Cols: n_vocab
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|     LLAMA_API float * llama_get_logits(struct llama_context * ctx);
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| 
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|     // Get the embeddings for the input
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|     // shape: [n_embd] (1-dimensional)
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|     LLAMA_API float * llama_get_embeddings(struct llama_context * ctx);
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| 
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|     // Token Id -> String. Uses the vocabulary in the provided context
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|     LLAMA_API const char * llama_token_to_str(struct llama_context * ctx, llama_token token);
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| 
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|     // Special tokens
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|     LLAMA_API llama_token llama_token_bos();
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|     LLAMA_API llama_token llama_token_eos();
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| 
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|     // TODO: improve the last_n_tokens interface ?
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|     LLAMA_API llama_token llama_sample_top_p_top_k(
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|        struct llama_context * ctx,
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|           const llama_token * last_n_tokens_data,
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|                         int   last_n_tokens_size,
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|                         int   top_k,
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|                       float   top_p,
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|                       float   temp,
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|                       float   repeat_penalty);
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| 
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|     // Performance information
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|     LLAMA_API void llama_print_timings(struct llama_context * ctx);
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|     LLAMA_API void llama_reset_timings(struct llama_context * ctx);
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| 
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|     // Print system information
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|     LLAMA_API const char * llama_print_system_info(void);
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| 
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| #ifdef __cplusplus
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| }
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| #endif
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| 
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| #endif
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