mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-09-18 16:55:14 +02:00
refactor to avoid code duplication
This commit is contained in:
+81
-69
@@ -219,16 +219,31 @@ void sample_top_a(llama_token_data_array * candidates, float a, size_t min_keep)
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candidates->size = last_idx;
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}
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void apply_penalties(int n_ctx, int rep_pen_range, float rep_pen, llama_token_data_array & candidates_p)
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void sample_rep_pen(int n_ctx, int rep_pen_range, float rep_pen, llama_token_data_array * candidates_p)
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{
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auto last_n_repeat = std::min(std::min((int)last_n_tokens.size(), rep_pen_range), n_ctx);
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llama_sample_repetition_penalty(nullptr, &candidates_p,
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llama_sample_repetition_penalty(nullptr, candidates_p,
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last_n_tokens.data() + last_n_tokens.size() - last_n_repeat,
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last_n_repeat, rep_pen);
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}
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void sample_temperature(llama_token_data_array * candidates_p, float temp)
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{
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if (temp <= 0)
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{
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// Imitate greedy sampling
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temp = 0.01f; //cannot be zero else div0
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llama_sample_temperature(nullptr, candidates_p, temp);
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llama_sample_top_k(nullptr, candidates_p, 1, 1); //only want first candidate
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}
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else
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{
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llama_sample_temperature(nullptr, candidates_p, temp);
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}
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}
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int SampleLogits(const float * logits, int n_ctx, int n_vocab, int rep_pen_range, float rep_pen, float top_k, float top_a, float top_p, float typical_p, float tfs, float temp, std::mt19937 & rng,
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int mirostat, float mirostat_tau, float mirostat_eta, uint sampler_len, const samplers sampler_order[KCPP_SAMPLER_MAX])
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int mirostat, float mirostat_tau, float mirostat_eta, const std::vector<samplers> & sampler_order)
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{
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int id = 0;
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std::vector<llama_token_data> candidates;
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@@ -239,79 +254,55 @@ int mirostat, float mirostat_tau, float mirostat_eta, uint sampler_len, const sa
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llama_token_data_array candidates_p = { candidates.data(), candidates.size(), false };
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// Run this except for when we are going to do the sampler reordering case below
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if (temp <= 0 || mirostat > 0 || sampler_len == 0)
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{
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apply_penalties(n_ctx, rep_pen_range, rep_pen, candidates_p);
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}
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// llama_sample_frequency_and_presence_penalties(nullptr, &candidates_p,
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// last_n_tokens.data() + last_n_tokens.size() - last_n_repeat,
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// last_n_repeat, alpha_frequency, alpha_presence);
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if (temp <= 0)
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{
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// Greedy sampling
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id = llama_sample_token_greedy(nullptr, &candidates_p);
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}
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else
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if (mirostat == 1 || mirostat == 2)
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{
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static float mirostat_mu = 2.0f * mirostat_tau;
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const int mirostat_m = 100;
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sample_rep_pen(n_ctx, rep_pen_range, rep_pen, &candidates_p);
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sample_temperature(&candidates_p, temp);
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if (mirostat == 1)
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{
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static float mirostat_mu = 2.0f * mirostat_tau;
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const int mirostat_m = 100;
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llama_sample_temperature(nullptr, &candidates_p, temp);
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id = sample_token_mirostat(n_vocab, &candidates_p, rng, mirostat_tau, mirostat_eta, mirostat_m, &mirostat_mu);
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}
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else if (mirostat == 2)
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{
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static float mirostat_mu = 2.0f * mirostat_tau;
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llama_sample_temperature(nullptr, &candidates_p, temp);
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id = sample_token_mirostat_v2(&candidates_p, rng, mirostat_tau, mirostat_eta, &mirostat_mu);
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}
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else if (sampler_len > 0)
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{
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for (int i = 0; i < sampler_len; i++) {
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switch (sampler_order[i]) {
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case KCPP_SAMPLER_TOP_K:
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llama_sample_top_k(nullptr, &candidates_p, top_k,1);
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break;
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case KCPP_SAMPLER_TOP_A:
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sample_top_a(&candidates_p,top_a,1);
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break;
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case KCPP_SAMPLER_TOP_P:
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llama_sample_top_p(nullptr, &candidates_p, top_p,1);
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break;
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case KCPP_SAMPLER_TFS:
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llama_sample_tail_free(nullptr, &candidates_p, tfs,1);
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break;
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case KCPP_SAMPLER_TYP:
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llama_sample_typical(nullptr, &candidates_p, typical_p,1);
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break;
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case KCPP_SAMPLER_TEMP:
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llama_sample_temperature(nullptr, &candidates_p, temp);
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break;
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case KCPP_SAMPLER_REP_PEN:
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apply_penalties(n_ctx, rep_pen_range, rep_pen, candidates_p);
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break;
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default:
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break;
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}
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}
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id = sample_token(&candidates_p, rng);
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}
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else
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{
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// Temperature sampling
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llama_sample_top_k(nullptr, &candidates_p, top_k,1);
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sample_top_a(&candidates_p,top_a,1);
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llama_sample_tail_free(nullptr, &candidates_p, tfs,1);
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llama_sample_typical(nullptr, &candidates_p, typical_p,1);
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llama_sample_top_p(nullptr, &candidates_p, top_p,1);
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llama_sample_temperature(nullptr, &candidates_p, temp);
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id = sample_token(&candidates_p, rng);
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id = sample_token_mirostat_v2(&candidates_p, rng, mirostat_tau, mirostat_eta, &mirostat_mu);
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}
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}
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else
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{
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for (int i = 0; i < sampler_order.size(); i++)
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{
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switch (sampler_order[i])
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{
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case KCPP_SAMPLER_TOP_K:
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llama_sample_top_k(nullptr, &candidates_p, top_k,1);
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break;
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case KCPP_SAMPLER_TOP_A:
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sample_top_a(&candidates_p,top_a,1);
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break;
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case KCPP_SAMPLER_TOP_P:
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llama_sample_top_p(nullptr, &candidates_p, top_p,1);
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break;
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case KCPP_SAMPLER_TFS:
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llama_sample_tail_free(nullptr, &candidates_p, tfs,1);
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break;
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case KCPP_SAMPLER_TYP:
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llama_sample_typical(nullptr, &candidates_p, typical_p,1);
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break;
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case KCPP_SAMPLER_TEMP:
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sample_temperature(&candidates_p, temp);
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break;
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case KCPP_SAMPLER_REP_PEN:
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sample_rep_pen(n_ctx, rep_pen_range, rep_pen, &candidates_p);
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break;
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default:
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printf("\nSampleLogits: Unknown Sampler : %d",sampler_order[i]);
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break;
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}
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}
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id = sample_token(&candidates_p, rng);
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}
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return id;
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}
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@@ -952,6 +943,28 @@ generation_outputs gpttype_generate(const generation_inputs inputs, generation_o
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std::mt19937 rng(params.seed);
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concat_output = "";
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//prepare sampler order
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std::vector<samplers> sampler_order;
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if(inputs.sampler_len<=0) //list by value
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{
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sampler_order = {
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KCPP_SAMPLER_REP_PEN,
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KCPP_SAMPLER_TOP_K,
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KCPP_SAMPLER_TOP_A,
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KCPP_SAMPLER_TFS,
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KCPP_SAMPLER_TYP,
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KCPP_SAMPLER_TOP_P,
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KCPP_SAMPLER_TEMP
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};
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}
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else
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{
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for(int i=0;i<inputs.sampler_len;++i)
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{
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sampler_order.push_back(inputs.sampler_order[i]);
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}
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}
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bool startedsampling = false;
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bool use_scratch = true; //for normal inference always use scratch
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@@ -1274,8 +1287,7 @@ generation_outputs gpttype_generate(const generation_inputs inputs, generation_o
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id = SampleLogits(logitsPtr, nctx, n_vocab, last_n_size, repeat_penalty,
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top_k, top_a, top_p, typical_p, tfs_z, temp, rng,
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params.mirostat, params.mirostat_tau, params.mirostat_eta,
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inputs.sampler_len, inputs.sampler_order);
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params.mirostat, params.mirostat_tau, params.mirostat_eta, sampler_order);
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.push_back(id);
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