vbatts/llama.cpp
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Softmax exp & sum in one pass + temp returns if 1

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kalomaze 2024-01-22 03:02:40 -06:00
parent 726c0fa9a2
commit 6167c263c7
1 changed files with 10 additions and 3 deletions
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13
llama.cpp
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@ -7955,11 +7955,14 @@ void llama_sample_softmax(struct llama_context * ctx, llama_token_data_array * c
float max_l = candidates->data[0].logit;
float cum_sum = 0.0f;
// Calculate the exp and sum in one pass
for (size_t i = 0; i < candidates->size; ++i) {
float p = expf(candidates->data[i].logit - max_l);
candidates->data[i].p = p;
cum_sum += p;
candidates->data[i].p = expf(candidates->data[i].logit - max_l);
cum_sum += candidates->data[i].p;
}
// Normalize the probabilities
for (size_t i = 0; i < candidates->size; ++i) {
candidates->data[i].p /= cum_sum;
}
@ -8178,6 +8181,10 @@ void llama_sample_typical(struct llama_context * ctx, llama_token_data_array * c
void llama_sample_temp(struct llama_context * ctx, llama_token_data_array * candidates_p, float temp) {
const int64_t t_start_sample_us = ggml_time_us();
if (temp == 1.0f) {
return; // No adjustment needed as dividing by 1 leaves the values unchanged
}
for (size_t i = 0; i < candidates_p->size; ++i) {
candidates_p->data[i].logit /= temp;
}