61 lines
2.0 KiB
C++
61 lines
2.0 KiB
C++
#pragma once
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#include "llama.h"
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#include "common.h"
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struct common_speculative;
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// comma separated list of all types
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std::string common_speculative_type_name_str();
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// convert string to type
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enum common_speculative_type common_speculative_type_from_name(const std::string & name);
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// convert type to string
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std::string common_speculative_type_to_str(enum common_speculative_type type);
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// check if the llama_context is compatible for speculative decoding
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// note: clears the memory of the context
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bool common_speculative_is_compat(llama_context * ctx_tgt);
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common_speculative * common_speculative_init(
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common_params_speculative & params,
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llama_context * ctx_tgt);
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void common_speculative_free(common_speculative * spec);
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// optionally call once at the beginning of a new generation
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void common_speculative_begin(common_speculative * spec, const llama_tokens & prompt);
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// sample up to n_draft tokens and add them to the batch using the draft model
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llama_tokens common_speculative_draft(
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common_speculative * spec,
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const common_params_speculative & params,
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const llama_tokens & prompt,
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llama_token id_last);
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// informs the speculative decoder that n_accepted tokens were accepted by the target model
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void common_speculative_accept(common_speculative * spec, uint16_t n_accepted);
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// print statistics about the speculative decoding
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void common_speculative_print_stats(const common_speculative * spec);
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// Generates speculative draft tokens using the Multi-Token Prediction (MTP) architecture.
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std::vector<llama_token> mtp_speculative_gen_draft(
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struct common_sampler * smpl,
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struct llama_context * ctx,
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int n_draft,
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float p_min,
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llama_token id_last,
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int32_t n_past,
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llama_seq_id seq_id);
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void mtp_update_kv_cache(struct llama_context * ctx, const llama_batch& batch, bool is_prompt_warmup);
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void mtp_accept_tokens(
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struct llama_context * ctx,
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const std::vector<llama_token> & ids,
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int32_t n_past_base,
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llama_seq_id seq_id
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);
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