Merge branch 'master' into compilade/refactor-kv-cache
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commit
9b38f8bf65
102 changed files with 4745 additions and 1675 deletions
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@ -93,14 +93,34 @@ int main(int argc, char ** argv) {
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// create a llama_batch
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// we use this object to submit token data for decoding
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llama_batch batch = llama_batch_init(std::max(tokens_list.size(), (size_t)n_parallel), 0, 1);
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llama_batch batch = llama_batch_init(std::max(tokens_list.size(), (size_t) n_parallel), 0, n_parallel);
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std::vector<llama_seq_id> seq_ids(n_parallel, 0);
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for (int32_t i = 0; i < n_parallel; ++i) {
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seq_ids[i] = i;
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}
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// evaluate the initial prompt
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for (size_t i = 0; i < tokens_list.size(); ++i) {
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llama_batch_add(batch, tokens_list[i], i, { 0 }, false);
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llama_batch_add(batch, tokens_list[i], i, seq_ids, false);
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}
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GGML_ASSERT(batch.n_tokens == (int) tokens_list.size());
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if (llama_model_has_encoder(model)) {
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if (llama_encode(ctx, batch)) {
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LOG_TEE("%s : failed to eval\n", __func__);
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return 1;
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}
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llama_token decoder_start_token_id = llama_model_decoder_start_token(model);
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if (decoder_start_token_id == -1) {
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decoder_start_token_id = llama_token_bos(model);
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}
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llama_batch_clear(batch);
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llama_batch_add(batch, decoder_start_token_id, 0, seq_ids, false);
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}
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// llama_decode will output logits only for the last token of the prompt
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batch.logits[batch.n_tokens - 1] = true;
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@ -109,11 +129,11 @@ int main(int argc, char ** argv) {
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return 1;
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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_past_seq_cp(ctx, 0, i, -1, -1);
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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_past_seq_cp(ctx, 0, i, -1, -1);
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//}
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if (n_parallel > 1) {
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LOG_TEE("\n\n%s: generating %d sequences ...\n", __func__, n_parallel);
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