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