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grammars
: fix resampling logic regression (#7424)
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fcf6538ba6
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@ -179,7 +179,7 @@ static llama_token llama_sampling_sample_impl(
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struct llama_context * ctx_main,
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struct llama_context * ctx_cfg,
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const int idx,
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bool is_resampling) { // Add a parameter to indicate if we are resampling
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bool is_resampling) {
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const llama_sampling_params & params = ctx_sampling->params;
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const float temp = params.temp;
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@ -188,8 +188,8 @@ static llama_token llama_sampling_sample_impl(
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const float mirostat_eta = params.mirostat_eta;
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std::vector<float> original_logits;
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auto cur_p = llama_sampling_prepare(ctx_sampling, ctx_main, ctx_cfg, idx, !is_resampling, &original_logits);
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if (!is_resampling) {
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auto cur_p = llama_sampling_prepare(ctx_sampling, ctx_main, ctx_cfg, idx, /* apply_grammar= */ is_resampling, &original_logits);
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if (ctx_sampling->grammar != NULL && !is_resampling) {
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GGML_ASSERT(!original_logits.empty());
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}
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llama_token id = 0;
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@ -252,7 +252,7 @@ static llama_token llama_sampling_sample_impl(
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// Restore logits from the copy
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std::copy(original_logits.begin(), original_logits.end(), logits);
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return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, true); // Pass true for is_resampling
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return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, /* is_resampling= */ true);
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}
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}
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@ -285,7 +285,8 @@ static llama_token_data_array llama_sampling_prepare_impl(
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// Get a pointer to the logits
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float * logits = llama_get_logits_ith(ctx_main, idx);
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if (apply_grammar && original_logits != NULL) {
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if (ctx_sampling->grammar != NULL && !apply_grammar) {
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GGML_ASSERT(original_logits != NULL);
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// Only make a copy of the original logits if we are not applying grammar checks, not sure if I actually have to do this.
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*original_logits = {logits, logits + llama_n_vocab(llama_get_model(ctx_main))};
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}
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@ -342,7 +343,7 @@ llama_token llama_sampling_sample(
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struct llama_context * ctx_cfg,
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const int idx) {
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// Call the implementation function with is_resampling set to false by default
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return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, false);
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return llama_sampling_sample_impl(ctx_sampling, ctx_main, ctx_cfg, idx, /* is_resampling= */ false);
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}
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llama_token_data_array llama_sampling_prepare(
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@ -707,7 +707,7 @@ int main(int argc, char ** argv) {
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const llama_token id = llama_sampling_sample(ctx_sampling, ctx, ctx_guidance);
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llama_sampling_accept(ctx_sampling, ctx, id, true);
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llama_sampling_accept(ctx_sampling, ctx, id, /* apply_grammar= */ true);
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LOG("last: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, ctx_sampling->prev).c_str());
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@ -728,7 +728,7 @@ int main(int argc, char ** argv) {
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// push the prompt in the sampling context in order to apply repetition penalties later
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// for the prompt, we don't apply grammar rules
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llama_sampling_accept(ctx_sampling, ctx, embd_inp[n_consumed], false);
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llama_sampling_accept(ctx_sampling, ctx, embd_inp[n_consumed], /* apply_grammar= */ false);
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++n_consumed;
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if ((int) embd.size() >= params.n_batch) {
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