speculative : refactor sampling
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3 changed files with 210 additions and 205 deletions
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@ -2,6 +2,8 @@
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#include "llama.h"
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#include "grammar-parser.h"
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#include <string>
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#include <vector>
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#include <unordered_map>
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@ -35,7 +37,8 @@ typedef struct llama_sampling_params {
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} llama_sampling_params;
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// general sampler context
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typedef struct llama_sampling_context {
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// TODO: move to llama.h
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struct llama_sampling_context {
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// parameters that will be used for sampling
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llama_sampling_params params;
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@ -43,45 +46,50 @@ typedef struct llama_sampling_context {
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float mirostat_mu;
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llama_grammar * grammar;
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} llama_sampling_context;
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// internal
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grammar_parser::parse_state parsed_grammar;
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std::vector<llama_token> prev;
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std::vector<llama_token_data> cur;
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};
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#include "common.h"
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// Create a new sampling context instance.
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llama_sampling_context llama_sampling_context_init(
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const struct gpt_params & params,
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llama_grammar * grammar = NULL);
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struct llama_sampling_context * llama_sampling_init(const struct gpt_params & params);
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// Reset the sampler context for the supplied sequence id (defaults to 0).
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// This is necessary to reuse a sequence id or free memory used by sequences
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// that are no longer required.
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bool llama_sampling_context_reset(
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llama_sampling_context & ctx_sampling,
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const llama_seq_id seq = 0);
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void llama_sampling_free(struct llama_sampling_context * ctx);
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// Reset the sampler context
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// - clear prev tokens
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// - reset grammar
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void llama_sampling_reset(llama_sampling_context * ctx);
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// this is a common sampling function used across the examples for convenience
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// it can serve as a starting point for implementing your own sampling function
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// Note: When using multiple sequences, it is the caller's responsibility to call
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// llama_sampling_context_reset when a sequence ends
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// llama_sampling_reset when a sequence ends
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//
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// required:
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// - ctx: context to use for sampling
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// - ctx_main: context to use for sampling
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// - ctx_sampling: sampling-specific context
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//
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// optional:
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// - ctx_guidance: context to use for classifier-free guidance, ignore if NULL
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// - last_tokens: needed for repetition penalty, ignore if empty
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// - idx: sample from llama_get_logits_ith(ctx, idx)
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// - seq: sequence id to associate sampler state with
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// - ctx_guidance: context to use for guidance
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// - idx: sample from llama_get_logits_ith(ctx, idx)
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//
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// returns:
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// - token: sampled token
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// - candidates: vector of candidate tokens
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//
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llama_token llama_sampling_sample(
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struct llama_context * ctx,
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struct llama_context * ctx_guidance,
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struct llama_sampling_context & ctx_sampling,
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const std::vector<llama_token> & last_tokens,
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std::vector<llama_token_data> & candidates,
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const int idx = 0);
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struct llama_sampling_context * ctx_sampling,
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struct llama_context * ctx_main,
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struct llama_context * ctx_guidance,
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int idx = 0);
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void llama_sampling_accept(
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struct llama_sampling_context * ctx_sampling,
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struct llama_context * ctx_main,
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llama_token id);
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