mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-08-18 05:56:00 -04:00
apply to the rest
This commit is contained in:
@@ -817,7 +817,7 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
|
||||
// create a llama_batch
|
||||
// we use this object to submit token data for decoding
|
||||
llama_batch batch = llama_batch_init(std::max(prompt_inp.size(), (size_t) n_parallel), 0, n_parallel);
|
||||
llama_batch_ext * batch = llama_batch_ext_init(std::max(prompt_inp.size(), (size_t) n_parallel), n_parallel);
|
||||
|
||||
std::vector<llama_seq_id> seq_ids(n_parallel, 0);
|
||||
for (int32_t i = 0; i < n_parallel; ++i) {
|
||||
@@ -826,14 +826,14 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
|
||||
// evaluate the initial prompt
|
||||
for (size_t i = 0; i < prompt_inp.size(); ++i) {
|
||||
common_batch_add(batch, prompt_inp[i], i, seq_ids, false);
|
||||
llama_batch_ext_add_text(batch, prompt_inp[i], i, seq_ids.data(), seq_ids.size(), false);
|
||||
}
|
||||
GGML_ASSERT(batch.n_tokens == (int) prompt_inp.size());
|
||||
GGML_ASSERT(llama_batch_ext_get_n_tokens(batch) == (int) prompt_inp.size());
|
||||
|
||||
// llama_decode will output logits only for the last token of the prompt
|
||||
batch.logits[batch.n_tokens - 1] = true;
|
||||
llama_batch_ext_set_output_last(batch);
|
||||
|
||||
if (llama_decode(ctx_ttc, batch) != 0) {
|
||||
if (llama_decode_ext(ctx_ttc, batch) != 0) {
|
||||
LOG_ERR("%s: llama_decode() failed\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
@@ -852,16 +852,16 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
|
||||
// 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);
|
||||
std::vector<int32_t> i_batch(n_parallel, llama_batch_ext_get_n_tokens(batch) - 1);
|
||||
|
||||
int n_past = batch.n_tokens;
|
||||
int n_past = llama_batch_ext_get_n_tokens(batch);
|
||||
int n_decode = 0;
|
||||
|
||||
bool next_token_uses_guide_token = true;
|
||||
|
||||
while (n_decode <= n_predict) {
|
||||
// prepare the next batch
|
||||
common_batch_clear(batch);
|
||||
llama_batch_ext_clear(batch);
|
||||
|
||||
// sample the next token for each parallel sequence / stream
|
||||
for (int32_t i = 0; i < n_parallel; ++i) {
|
||||
@@ -917,14 +917,14 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
//LOG_CNT("%d", i);
|
||||
}
|
||||
|
||||
i_batch[i] = batch.n_tokens;
|
||||
i_batch[i] = llama_batch_ext_get_n_tokens(batch);
|
||||
|
||||
// push this new token for next evaluation
|
||||
common_batch_add(batch, new_token_id, n_past, { i }, true);
|
||||
llama_batch_ext_add_text(batch, new_token_id, n_past, &i, 1, false);
|
||||
}
|
||||
|
||||
// all streams are finished
|
||||
if (batch.n_tokens == 0) {
|
||||
if (llama_batch_ext_get_n_tokens(batch) == 0) {
|
||||
break;
|
||||
}
|
||||
|
||||
@@ -932,13 +932,13 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
n_past += 1;
|
||||
|
||||
// evaluate the current batch with the transformer model
|
||||
if (llama_decode(ctx_ttc, batch)) {
|
||||
if (llama_decode_ext(ctx_ttc, batch)) {
|
||||
LOG_ERR("%s : failed to eval, return code %d\n", __func__, 1);
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
|
||||
llama_batch_free(batch);
|
||||
llama_batch_ext_free(batch);
|
||||
|
||||
LOG("\n");
|
||||
LOG_INF("%s: time for decoder: %.3f ms\n", __func__, (ggml_time_us() - t_dec_start) / 1000.0f);
|
||||
@@ -1007,14 +1007,15 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
|
||||
const int n_codes = codes.size();
|
||||
|
||||
llama_batch batch = llama_batch_init(n_codes, 0, 1);
|
||||
llama_batch_ext * batch = llama_batch_ext_init(n_codes, 1);
|
||||
|
||||
for (size_t i = 0; i < codes.size(); ++i) {
|
||||
common_batch_add(batch, codes[i], i, { 0 }, true); // TODO: all logits?
|
||||
llama_seq_id seq_id = 0;
|
||||
llama_batch_ext_add_text(batch, codes[i], i, &seq_id, 1, true); // TODO: all logits?
|
||||
}
|
||||
GGML_ASSERT(batch.n_tokens == n_codes);
|
||||
GGML_ASSERT(llama_batch_ext_get_n_tokens(batch) == n_codes);
|
||||
|
||||
if (llama_decode(ctx_cts, batch) != 0) {
|
||||
if (llama_decode_ext(ctx_cts, batch) != 0) {
|
||||
LOG_ERR("%s: llama_decode() failed\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
@@ -1076,6 +1077,7 @@ lovely<|t_0.56|><|code_start|><|634|><|596|><|1766|><|1556|><|1306|><|1285|><|14
|
||||
|
||||
LOG_INF("%s: audio written to file '%s'\n", __func__, fname.c_str());
|
||||
|
||||
llama_batch_ext_free(batch);
|
||||
llama_backend_free();
|
||||
|
||||
return 0;
|
||||
|
Reference in New Issue
Block a user