llama : allow 0 as a seed number. (#1275)

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Robert Brisita 2023-05-02 12:23:44 -04:00 committed by GitHub
parent e2cd506999
commit 2bb992f034
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GPG key ID: 4AEE18F83AFDEB23
7 changed files with 9 additions and 9 deletions

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@ -324,7 +324,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
fprintf(stderr, " run in interactive mode and poll user input upon seeing PROMPT (can be\n");
fprintf(stderr, " specified more than once for multiple prompts).\n");
fprintf(stderr, " --color colorise output to distinguish prompt and user input from generations\n");
fprintf(stderr, " -s SEED, --seed SEED RNG seed (default: -1, use random seed for <= 0)\n");
fprintf(stderr, " -s SEED, --seed SEED RNG seed (default: -1, use random seed for < 0)\n");
fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
fprintf(stderr, " -p PROMPT, --prompt PROMPT\n");
fprintf(stderr, " prompt to start generation with (default: empty)\n");

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@ -21,7 +21,7 @@ int main(int argc, char ** argv) {
fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT);
if (params.seed <= 0) {
if (params.seed < 0) {
params.seed = time(NULL);
}

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@ -130,7 +130,7 @@ It is important to note that the generated text may be shorter than the specifie
- `-s SEED, --seed SEED`: Set the random number generator (RNG) seed (default: -1).
The RNG seed is used to initialize the random number generator that influences the text generation process. By setting a specific seed value, you can obtain consistent and reproducible results across multiple runs with the same input and settings. This can be helpful for testing, debugging, or comparing the effects of different options on the generated text to see when they diverge. If the seed is set to a value less than or equal to 0, a random seed will be used, which will result in different outputs on each run.
The RNG seed is used to initialize the random number generator that influences the text generation process. By setting a specific seed value, you can obtain consistent and reproducible results across multiple runs with the same input and settings. This can be helpful for testing, debugging, or comparing the effects of different options on the generated text to see when they diverge. If the seed is set to a value less than 0, a random seed will be used, which will result in different outputs on each run.
### Temperature

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@ -84,7 +84,7 @@ int main(int argc, char ** argv) {
fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT);
if (params.seed <= 0) {
if (params.seed < 0) {
params.seed = time(NULL);
}

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@ -109,7 +109,7 @@ int main(int argc, char ** argv) {
fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT);
if (params.seed <= 0) {
if (params.seed < 0) {
params.seed = time(NULL);
}

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@ -809,7 +809,7 @@ struct llama_context_params llama_context_default_params() {
struct llama_context_params result = {
/*.n_ctx =*/ 512,
/*.n_parts =*/ -1,
/*.seed =*/ 0,
/*.seed =*/ -1,
/*.f16_kv =*/ false,
/*.logits_all =*/ false,
/*.vocab_only =*/ false,
@ -2053,7 +2053,7 @@ struct llama_context * llama_init_from_file(
llama_context * ctx = new llama_context;
if (params.seed <= 0) {
if (params.seed < 0) {
params.seed = time(NULL);
}
@ -2395,7 +2395,7 @@ int llama_get_kv_cache_token_count(const struct llama_context * ctx) {
#define LLAMA_MAX_RNG_STATE 64*1024
void llama_set_rng_seed(struct llama_context * ctx, int seed) {
if (seed <= 0) {
if (seed < 0) {
seed = time(NULL);
}
ctx->rng.seed(seed);

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@ -56,7 +56,7 @@ extern "C" {
struct llama_context_params {
int n_ctx; // text context
int n_parts; // -1 for default
int seed; // RNG seed, 0 for random
int seed; // RNG seed, -1 for random
bool f16_kv; // use fp16 for KV cache
bool logits_all; // the llama_eval() call computes all logits, not just the last one