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llama : add llama_token_is_eog()
ggml-ci
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@ -2531,28 +2531,34 @@ class MambaModel(Model):
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field = neox_reader.get_field(gguf.Keys.Tokenizer.MODEL)
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self.gguf_writer.add_tokenizer_model(bytes(field.parts[-1]))
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field = neox_reader.get_field(gguf.Keys.Tokenizer.LIST)
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self.gguf_writer.add_token_list([bytes(field.parts[i]) for i in field.data][:vocab_size])
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field = neox_reader.get_field(gguf.Keys.Tokenizer.TOKEN_TYPE)
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self.gguf_writer.add_token_types([field.parts[i].tolist()[0] for i in field.data][:vocab_size])
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field = neox_reader.get_field(gguf.Keys.Tokenizer.MERGES)
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self.gguf_writer.add_token_merges([bytes(field.parts[i]) for i in field.data])
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field = neox_reader.get_field(gguf.Keys.Tokenizer.BOS_ID)
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self.gguf_writer.add_bos_token_id(field.parts[-1].tolist()[0])
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field = neox_reader.get_field(gguf.Keys.Tokenizer.EOS_ID)
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self.gguf_writer.add_eos_token_id(field.parts[-1].tolist()[0])
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field = neox_reader.get_field(gguf.Keys.Tokenizer.UNK_ID)
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self.gguf_writer.add_unk_token_id(field.parts[-1].tolist()[0])
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def set_gguf_parameters(self):
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d_model = self.find_hparam(["hidden_size", "d_model"])
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d_conv = self.find_hparam(["conv_kernel", "d_conv"], optional=True) or 4
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d_model = self.find_hparam(["hidden_size", "d_model"])
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d_conv = self.find_hparam(["conv_kernel", "d_conv"], optional=True) or 4
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d_inner = self.find_hparam(["intermediate_size", "d_inner"], optional=True) or 2 * d_model
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d_state = self.find_hparam(["state_size", "d_state"], optional=True) or 16
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d_state = self.find_hparam(["state_size", "d_state"], optional=True) or 16
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# ceiling division
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# ref: https://stackoverflow.com/a/17511341/22827863
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# ref: https://github.com/state-spaces/mamba/blob/ce59daea3a090d011d6476c6e5b97f6d58ddad8b/mamba_ssm/modules/mamba_simple.py#L58
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dt_rank = self.find_hparam(["time_step_rank", "dt_rank"], optional=True) or -(d_model // -16)
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dt_rank = self.find_hparam(["time_step_rank", "dt_rank"], optional=True) or -(d_model // -16)
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rms_norm_eps = self.find_hparam(["layer_norm_epsilon", "rms_norm_eps"], optional=True) or 1e-5
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# Fail early for models which don't have a block expansion factor of 2
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@ -153,7 +153,7 @@ while n_cur <= n_len {
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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? -> mark the stream as finished
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if new_token_id == llama_token_eos(model) || n_cur == n_len {
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if llama_token_is_eog(model, new_token_id) || n_cur == n_len {
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i_batch[i] = -1
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// print("")
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if n_parallel > 1 {
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@ -191,8 +191,8 @@ 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? -> mark the stream as finished
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if (new_token_id == llama_token_eos(model) || n_cur == n_len) {
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// is it an end of generation? -> mark the stream as finished
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if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
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i_batch[i] = -1;
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LOG_TEE("\n");
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if (n_parallel > 1) {
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@ -47,7 +47,7 @@ struct beam_search_callback_data {
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// In this case, end-of-beam (eob) is equivalent to end-of-sentence (eos) but this need not always be the same.
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// For example, eob can be flagged due to maximum token length, stop words, etc.
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static bool is_at_eob(const beam_search_callback_data & callback_data, const llama_token * tokens, size_t n_tokens) {
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return n_tokens && tokens[n_tokens-1] == llama_token_eos(llama_get_model(callback_data.ctx));
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return n_tokens && llama_token_is_eog(llama_get_model(callback_data.ctx), tokens[n_tokens-1]);
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}
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// Function matching type llama_beam_search_callback_fn_t.
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@ -586,7 +586,7 @@ int main(int argc, char ** argv) {
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// deal with eot token in infill mode
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if ((llama_sampling_last(ctx_sampling) == llama_token_eot(model) || is_interacting) && params.interactive){
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if(is_interacting && !params.interactive_first) {
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if (is_interacting && !params.interactive_first) {
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// print an eot token
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printf("%s", llama_token_to_piece(ctx, llama_token_eot(model)).c_str());
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}
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@ -651,8 +651,8 @@ int main(int argc, char ** argv) {
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// LOG_TEE("took new input\n");
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is_interacting = false;
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}
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// deal with end of text token in interactive mode
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else if (llama_sampling_last(ctx_sampling) == llama_token_eos(model)) {
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// deal with end of generation tokens in interactive mode
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else if (llama_token_is_eog(model, llama_sampling_last(ctx_sampling))) {
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LOG("found EOS token\n");
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if (params.interactive) {
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@ -731,8 +731,8 @@ int main(int argc, char ** argv) {
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}
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}
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// end of text token
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if (!embd.empty() && embd.back() == llama_token_eos(model) && !params.interactive) {
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// end of generation
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if (!embd.empty() && llama_token_is_eog(model, embd.back()) && !params.interactive) {
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break;
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}
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@ -408,7 +408,7 @@ Java_com_example_llama_Llm_completion_1loop(
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const auto new_token_id = llama_sample_token_greedy(context, &candidates_p);
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const auto n_cur = env->CallIntMethod(intvar_ncur, la_int_var_value);
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if (new_token_id == llama_token_eos(model) || n_cur == n_len) {
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if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
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return env->NewStringUTF("");
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}
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@ -158,7 +158,7 @@ actor LlamaContext {
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new_token_id = llama_sample_token_greedy(context, &candidates_p)
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}
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if new_token_id == llama_token_eos(model) || n_cur == n_len {
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if llama_token_is_eog(model, new_token_id) || n_cur == n_len {
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print("\n")
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let new_token_str = String(cString: temporary_invalid_cchars + [0])
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temporary_invalid_cchars.removeAll()
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@ -45,7 +45,7 @@ static const char * sample(struct llama_sampling_context * ctx_sampling,
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const llama_token id = llama_sampling_sample(ctx_sampling, ctx_llama, NULL);
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llama_sampling_accept(ctx_sampling, ctx_llama, id, true);
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static std::string ret;
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if (id == llama_token_eos(llama_get_model(ctx_llama))) {
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if (llama_token_is_eog(llama_get_model(ctx_llama), id)) {
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ret = "</s>";
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} else {
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ret = llama_token_to_piece(ctx_llama, id);
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@ -299,7 +299,7 @@ int main(int argc, char ** argv) {
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}
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fflush(stdout);
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if (id == llama_token_eos(model)) {
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if (llama_token_is_eog(model, id)) {
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has_eos = true;
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}
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@ -141,7 +141,7 @@ int main(int argc, char ** argv){
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printf("%s", token_str.c_str());
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}
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if (id == llama_token_eos(model)) {
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if (llama_token_is_eog(model, id)) {
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has_eos = true;
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}
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@ -795,8 +795,8 @@ int main(int argc, char ** argv) {
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}
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}
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// deal with end of text token in interactive mode
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if (llama_sampling_last(ctx_sampling) == llama_token_eos(model)) {
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// deal with end of generation tokens in interactive mode
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if (llama_token_is_eog(model, llama_sampling_last(ctx_sampling))) {
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LOG("found EOS token\n");
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if (params.interactive) {
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@ -920,8 +920,8 @@ int main(int argc, char ** argv) {
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}
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}
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// end of text token
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if (!embd.empty() && embd.back() == llama_token_eos(model) && !(params.instruct || params.interactive || params.chatml)) {
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// end of generation
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if (!embd.empty() && llama_token_is_eog(model, embd.back()) && !(params.instruct || params.interactive || params.chatml)) {
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LOG_TEE(" [end of text]\n");
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break;
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}
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@ -359,7 +359,7 @@ int main(int argc, char ** argv) {
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// client.id, client.seq_id, id, client.n_decoded, client.i_batch, token_str.c_str());
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if (client.n_decoded > 2 &&
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(id == llama_token_eos(model) ||
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(llama_token_is_eog(model, id) ||
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(params.n_predict > 0 && client.n_decoded + client.n_prompt >= params.n_predict) ||
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client.response.find("User:") != std::string::npos ||
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client.response.find('\n') != std::string::npos)) {
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@ -252,8 +252,8 @@ int main(int argc, char ** argv) {
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// sample the most likely token
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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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if (new_token_id == llama_token_eos(model) || n_cur == n_len) {
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// is it an end of generation?
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if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
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LOG_TEE("\n");
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break;
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@ -1201,7 +1201,7 @@ struct server_context {
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});
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}
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if (result.tok == llama_token_eos(model)) {
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if (llama_token_is_eog(model, result.tok)) {
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slot.stopped_eos = true;
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slot.has_next_token = false;
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@ -133,8 +133,8 @@ int main(int argc, char ** argv) {
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// sample the most likely token
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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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if (new_token_id == llama_token_eos(model) || n_cur == n_len) {
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// is it an end of generation?
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if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
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LOG_TEE("\n");
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break;
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@ -360,7 +360,7 @@ int main(int argc, char ** argv) {
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}
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}
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if (token_id == llama_token_eos(model_tgt)) {
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if (llama_token_is_eog(model_tgt, token_id)) {
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has_eos = true;
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}
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++n_predict;
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53
llama.cpp
53
llama.cpp
@ -4280,6 +4280,7 @@ static void llm_load_vocab(
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{ LLM_KV_TOKENIZER_MIDDLE_ID, vocab.special_middle_id },
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{ LLM_KV_TOKENIZER_EOT_ID, vocab.special_eot_id },
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};
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for (const auto & it : special_token_types) {
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const std::string & key = kv(std::get<0>(it));
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int32_t & id = std::get<1>(it);
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@ -4294,7 +4295,6 @@ static void llm_load_vocab(
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} else {
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id = new_id;
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}
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}
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// Handle add_bos_token and add_eos_token
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@ -4308,6 +4308,17 @@ static void llm_load_vocab(
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vocab.special_add_eos = int(temp);
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}
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}
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// find EOT token "<|eot_id|>"
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// TODO: convert scripts should provide this token through the KV metadata LLAMA_KV_TOKENIZER_EOT_ID
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if (vocab.special_eot_id == -1) {
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for (const auto & t : vocab.token_to_id) {
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if (t.first == "<|eot_id|>" && vocab.id_to_token[t.second].type == LLAMA_TOKEN_TYPE_CONTROL) {
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vocab.special_eot_id = t.second;
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break;
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}
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}
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}
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}
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// build special tokens cache
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@ -4470,14 +4481,19 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
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LLAMA_LOG_INFO("%s: general.name = %s\n", __func__, model.name.c_str());
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// special tokens
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if (vocab.special_bos_id != -1) { LLAMA_LOG_INFO( "%s: BOS token = %d '%s'\n", __func__, vocab.special_bos_id, vocab.id_to_token[vocab.special_bos_id].text.c_str() ); }
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if (vocab.special_eos_id != -1) { LLAMA_LOG_INFO( "%s: EOS token = %d '%s'\n", __func__, vocab.special_eos_id, vocab.id_to_token[vocab.special_eos_id].text.c_str() ); }
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if (vocab.special_unk_id != -1) { LLAMA_LOG_INFO( "%s: UNK token = %d '%s'\n", __func__, vocab.special_unk_id, vocab.id_to_token[vocab.special_unk_id].text.c_str() ); }
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if (vocab.special_sep_id != -1) { LLAMA_LOG_INFO( "%s: SEP token = %d '%s'\n", __func__, vocab.special_sep_id, vocab.id_to_token[vocab.special_sep_id].text.c_str() ); }
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if (vocab.special_pad_id != -1) { LLAMA_LOG_INFO( "%s: PAD token = %d '%s'\n", __func__, vocab.special_pad_id, vocab.id_to_token[vocab.special_pad_id].text.c_str() ); }
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if (vocab.special_cls_id != -1) { LLAMA_LOG_INFO( "%s: CLS token = %d '%s'\n", __func__, vocab.special_cls_id, vocab.id_to_token[vocab.special_cls_id].text.c_str() ); }
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if (vocab.special_mask_id != -1) { LLAMA_LOG_INFO( "%s: MASK token = %d '%s'\n", __func__, vocab.special_mask_id, vocab.id_to_token[vocab.special_mask_id].text.c_str() ); }
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if (vocab.linefeed_id != -1) { LLAMA_LOG_INFO( "%s: LF token = %d '%s'\n", __func__, vocab.linefeed_id, vocab.id_to_token[vocab.linefeed_id].text.c_str() ); }
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if (vocab.special_bos_id != -1) { LLAMA_LOG_INFO( "%s: BOS token = %d '%s'\n", __func__, vocab.special_bos_id, vocab.id_to_token[vocab.special_bos_id].text.c_str() ); }
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if (vocab.special_eos_id != -1) { LLAMA_LOG_INFO( "%s: EOS token = %d '%s'\n", __func__, vocab.special_eos_id, vocab.id_to_token[vocab.special_eos_id].text.c_str() ); }
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if (vocab.special_unk_id != -1) { LLAMA_LOG_INFO( "%s: UNK token = %d '%s'\n", __func__, vocab.special_unk_id, vocab.id_to_token[vocab.special_unk_id].text.c_str() ); }
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if (vocab.special_sep_id != -1) { LLAMA_LOG_INFO( "%s: SEP token = %d '%s'\n", __func__, vocab.special_sep_id, vocab.id_to_token[vocab.special_sep_id].text.c_str() ); }
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if (vocab.special_pad_id != -1) { LLAMA_LOG_INFO( "%s: PAD token = %d '%s'\n", __func__, vocab.special_pad_id, vocab.id_to_token[vocab.special_pad_id].text.c_str() ); }
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if (vocab.special_cls_id != -1) { LLAMA_LOG_INFO( "%s: CLS token = %d '%s'\n", __func__, vocab.special_cls_id, vocab.id_to_token[vocab.special_cls_id].text.c_str() ); }
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if (vocab.special_mask_id != -1) { LLAMA_LOG_INFO( "%s: MASK token = %d '%s'\n", __func__, vocab.special_mask_id, vocab.id_to_token[vocab.special_mask_id].text.c_str() ); }
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if (vocab.linefeed_id != -1) { LLAMA_LOG_INFO( "%s: LF token = %d '%s'\n", __func__, vocab.linefeed_id, vocab.id_to_token[vocab.linefeed_id].text.c_str() ); }
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if (vocab.special_prefix_id != -1) { LLAMA_LOG_INFO( "%s: PRE token = %d '%s'\n", __func__, vocab.special_prefix_id, vocab.id_to_token[vocab.special_prefix_id].text.c_str() ); }
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if (vocab.special_suffix_id != -1) { LLAMA_LOG_INFO( "%s: SUF token = %d '%s'\n", __func__, vocab.special_suffix_id, vocab.id_to_token[vocab.special_suffix_id].text.c_str() ); }
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if (vocab.special_middle_id != -1) { LLAMA_LOG_INFO( "%s: MID token = %d '%s'\n", __func__, vocab.special_middle_id, vocab.id_to_token[vocab.special_middle_id].text.c_str() ); }
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if (vocab.special_eot_id != -1) { LLAMA_LOG_INFO( "%s: EOT token = %d '%s'\n", __func__, vocab.special_eot_id, vocab.id_to_token[vocab.special_eot_id].text.c_str() ); }
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}
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// Returns false if cancelled by progress_callback
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@ -13072,16 +13088,14 @@ void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * c
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GGML_ASSERT(ctx);
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const int64_t t_start_sample_us = ggml_time_us();
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bool allow_eos = false;
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bool allow_eog = false;
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for (const auto & stack : grammar->stacks) {
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if (stack.empty()) {
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allow_eos = true;
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allow_eog = true;
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break;
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}
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}
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const llama_token eos = llama_token_eos(&ctx->model);
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std::vector<std::pair<std::vector<uint32_t>, llama_partial_utf8>> candidates_decoded;
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candidates_decoded.reserve(candidates->size);
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std::vector<llama_grammar_candidate> candidates_grammar;
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@ -13090,8 +13104,8 @@ void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * c
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for (size_t i = 0; i < candidates->size; ++i) {
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const llama_token id = candidates->data[i].id;
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const std::string piece = llama_token_to_piece(ctx, id);
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if (id == eos) {
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if (!allow_eos) {
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if (llama_token_is_eog(&ctx->model, id)) {
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if (!allow_eog) {
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candidates->data[i].logit = -INFINITY;
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}
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||||
} else if (piece.empty() || piece[0] == 0) {
|
||||
@ -13280,7 +13294,7 @@ llama_token llama_sample_token(struct llama_context * ctx, llama_token_data_arra
|
||||
void llama_grammar_accept_token(struct llama_context * ctx, struct llama_grammar * grammar, llama_token token) {
|
||||
const int64_t t_start_sample_us = ggml_time_us();
|
||||
|
||||
if (token == llama_token_eos(&ctx->model)) {
|
||||
if (llama_token_is_eog(&ctx->model, token)) {
|
||||
for (const auto & stack : grammar->stacks) {
|
||||
if (stack.empty()) {
|
||||
return;
|
||||
@ -16683,6 +16697,13 @@ llama_token_type llama_token_get_type(const struct llama_model * model, llama_to
|
||||
return model->vocab.id_to_token[token].type;
|
||||
}
|
||||
|
||||
bool llama_token_is_eog(const struct llama_model * model, llama_token token) {
|
||||
return token != -1 && (
|
||||
token == llama_token_eos(model) ||
|
||||
token == llama_token_eot(model)
|
||||
);
|
||||
}
|
||||
|
||||
llama_token llama_token_bos(const struct llama_model * model) {
|
||||
return model->vocab.special_bos_id;
|
||||
}
|
||||
|
5
llama.h
5
llama.h
@ -783,6 +783,9 @@ extern "C" {
|
||||
|
||||
LLAMA_API enum llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token);
|
||||
|
||||
// Check if the token is supposed to end generation (end-of-generation, eg. EOS, EOT, etc.)
|
||||
LLAMA_API bool llama_token_is_eog(const struct llama_model * model, llama_token token);
|
||||
|
||||
// Special tokens
|
||||
LLAMA_API llama_token llama_token_bos(const struct llama_model * model); // beginning-of-sentence
|
||||
LLAMA_API llama_token llama_token_eos(const struct llama_model * model); // end-of-sentence
|
||||
@ -796,7 +799,7 @@ extern "C" {
|
||||
// Returns -1 if unknown, 1 for true or 0 for false.
|
||||
LLAMA_API int32_t llama_add_eos_token(const struct llama_model * model);
|
||||
|
||||
// codellama infill tokens
|
||||
// Codellama infill tokens
|
||||
LLAMA_API llama_token llama_token_prefix(const struct llama_model * model); // Beginning of infill prefix
|
||||
LLAMA_API llama_token llama_token_middle(const struct llama_model * model); // Beginning of infill middle
|
||||
LLAMA_API llama_token llama_token_suffix(const struct llama_model * model); // Beginning of infill suffix
|
||||
|
Loading…
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Reference in New Issue
Block a user