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simple : improve comments + free batch

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This commit is contained in:
Georgi Gerganov
2023-09-20 13:54:20 +03:00
parent b377bf2266
commit db0fc2da06
1 changed files with 11 additions and 7 deletions
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18
examples/simple/simple.cpp
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@@ -68,13 +68,15 @@ int main(int argc, char ** argv) {
LOG_TEE("\n%s: n_len = %d, n_ctx = %d, n_parallel = %d, n_kv_req = %d\n", __func__, n_len, n_ctx, n_parallel, n_kv_req);
// make sure wi
// make sure the KV cache is big enough to hold all the prompt and generated tokens
if (n_kv_req > n_ctx) {
LOG_TEE("%s: error: n_kv_req > n_ctx, the required KV cache size is not big enough\n", __func__);
LOG_TEE("%s: either reduce n_parallel or increase n_ctx\n", __func__);
return 1;
}
// print the prompt token-by-token
fprintf(stderr, "\n");
for (auto id : tokens_list) {
@@ -107,6 +109,7 @@ int main(int argc, char ** argv) {
}
// assign the system KV cache to all parallel sequences
// this way, the parallel sequences will "reuse" the prompt tokens without having to copy them
for (int32_t i = 1; i < n_parallel; ++i) {
llama_kv_cache_seq_cp(ctx, 0, i, 0, batch.n_tokens);
}
@@ -120,8 +123,8 @@ int main(int argc, char ** argv) {
// we will store the parallel decoded sequences in this vector
std::vector<std::string> streams(n_parallel);
// remember the batch index of the last tokenn for each parallel sequence
// we will use this to know which logits to sample from
// remember the batch index of the last token for each parallel sequence
// we need this to determine which logits to sample from
std::vector<int32_t> i_batch(n_parallel, batch.n_tokens - 1);
int n_cur = batch.n_tokens;
@@ -170,8 +173,7 @@ int main(int argc, char ** argv) {
//const llama_token new_token_id = llama_sample_token_greedy(ctx, &candidates_p);
// is it an end of stream ?
// mark this stream as finished
// is it an end of stream? -> mark the stream as finished
if (new_token_id == llama_token_eos(ctx) || n_cur == n_len) {
i_batch[i] = -1;
LOG_TEE("\n");
@@ -182,8 +184,8 @@ int main(int argc, char ** argv) {
continue;
}
// if there is only one stream, we print immediately to stdout
if (n_parallel == 1) {
// print the new token :
LOG_TEE("%s", llama_token_to_piece(ctx, new_token_id).c_str());
fflush(stdout);
}
@@ -203,8 +205,8 @@ int main(int argc, char ** argv) {
n_decode += 1;
}
// all streams are finished
if (batch.n_tokens == 0) {
// all streams are finished
break;
}
@@ -230,6 +232,8 @@ int main(int argc, char ** argv) {
fprintf(stderr, "\n");
llama_batch_free(batch);
llama_free(ctx);
llama_free_model(model);