llama : speedup tokenization (#2831)
* Speedup tokenization On current master it takes ~3.2 seconds to tokenize Wikitext. With this change it becomes ~525 ms. * Fixit: it was missing the piece after the last found occurence --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
This commit is contained in:
parent
eaa13a48ff
commit
463173a6c0
2 changed files with 14 additions and 5 deletions
|
@ -190,10 +190,14 @@ void perplexity(llama_context * ctx, const gpt_params & params) {
|
|||
const bool is_spm = llama_vocab_type(ctx) == LLAMA_VOCAB_TYPE_SPM;
|
||||
const bool add_bos = is_spm;
|
||||
|
||||
auto tim1 = std::chrono::high_resolution_clock::now();
|
||||
fprintf(stderr, "%s: tokenizing the input ..\n", __func__);
|
||||
|
||||
auto tokens = ::llama_tokenize(ctx, params.prompt, add_bos);
|
||||
|
||||
auto tim2 = std::chrono::high_resolution_clock::now();
|
||||
fprintf(stderr, "%s: tokenization took %g ms\n",__func__,1e-3*std::chrono::duration_cast<std::chrono::microseconds>(tim2-tim1).count());
|
||||
|
||||
const int n_chunk_max = tokens.size() / params.n_ctx;
|
||||
|
||||
const int n_chunk = params.n_chunks < 0 ? n_chunk_max : std::min(params.n_chunks, n_chunk_max);
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue