adapt common

common/common.cpp

@@ -1047,7 +1047,8 @@ struct common_init_result common_init_from_params(common_params & params) {
         }
 
         if (llama_model_has_encoder(model)) {
-            llama_encode(lctx, llama_batch_get_one(tmp.data(), tmp.size()));
+            llama_batch_ext_ptr batch(llama_batch_ext_init_from_text(tmp.data(), tmp.size(), 0, 0));
+            llama_encode_ext(lctx, batch.get());
             llama_token decoder_start_token_id = llama_model_decoder_start_token(model);
             if (decoder_start_token_id == LLAMA_TOKEN_NULL) {
                 decoder_start_token_id = bos;
@@ -1056,7 +1057,8 @@ struct common_init_result common_init_from_params(common_params & params) {
             tmp.push_back(decoder_start_token_id);
         }
         if (llama_model_has_decoder(model)) {
-            llama_decode(lctx, llama_batch_get_one(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch)));
+            llama_batch_ext_ptr batch(llama_batch_ext_init_from_text(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch), 0, 0));
+            llama_encode_ext(lctx, batch.get());
         }
         llama_kv_cache_clear(lctx);
         llama_synchronize(lctx);

common/speculative.cpp

@@ -13,7 +13,7 @@ struct common_speculative {
     struct llama_context * ctx;
     struct common_sampler * smpl;
 
-    llama_batch batch;
+    llama_batch_ext_ptr batch;
     llama_tokens prompt;
 };
 
@@ -22,7 +22,7 @@ struct common_speculative * common_speculative_init(
     auto * result = new common_speculative {
         /* .ctx    = */ ctx_dft,
         /* .smpl   = */ nullptr,
-        /* .batch  = */ llama_batch_init(llama_n_batch(ctx_dft), 0, 1),
+        /* .batch  = */ llama_batch_ext_ptr(llama_batch_ext_init(llama_n_batch(ctx_dft), 1)),
         /* .prompt = */ {},
     };
 
@@ -68,8 +68,6 @@ void common_speculative_free(struct common_speculative * spec) {
 
     common_sampler_free(spec->smpl);
 
-    llama_batch_free(spec->batch);
-
     delete spec;
 }
 
@@ -150,6 +148,8 @@ llama_tokens common_speculative_gen_draft(
 
     const int i_start = std::max<int>(0, (int) prompt_tgt.size() - n_ctx);
 
+    const llama_seq_id seq_id = 0;
+
     // reuse as much as possible from the old draft context
     // ideally, the draft context should be as big as the target context and we will always reuse the entire prompt
     for (int i = 0; i < (int) prompt.size(); ++i) {
@@ -205,40 +205,40 @@ llama_tokens common_speculative_gen_draft(
     }
 
     // prepare a batch to evaluate any new tokens in the prompt
-    common_batch_clear(batch);
+    llama_batch_ext_clear(batch.get());
 
     for (size_t i = i_start + reuse_n; i < prompt_tgt.size(); ++i) {
         //LOG_DBG("i = %d, i_start = %d, reuse_n = %d, i - i_start = %d, id = %6d\n", i, i_start, reuse_n, i - i_start, prompt_tgt[i]);
-        common_batch_add(batch, prompt_tgt[i], i - i_start, { 0 }, false);
+        llama_batch_ext_add_text_token(batch.get(), prompt_tgt[i], i - i_start, &seq_id, 1, false);
 
         prompt.push_back(prompt_tgt[i]);
     }
 
     // we should rarely end-up here during normal decoding
-    if (batch.n_tokens > 0) {
+    if (llama_batch_ext_get_n_tokens(batch.get()) > 0) {
         //LOG_DBG("%s: draft prompt batch: %s\n", __func__, string_from(ctx, batch).c_str());
 
-        llama_decode(ctx, batch);
+        llama_decode_ext(ctx, batch.get());
     }
 
     const llama_pos n_past = prompt.size();
 
     LOG_DBG("%s: n_past = %d\n", __func__, n_past);
 
-    common_batch_clear(batch);
+    llama_batch_ext_clear(batch.get());
-    common_batch_add  (batch, id_last, n_past, { 0 }, true);
+    llama_batch_ext_add_text_token(batch.get(), id_last, n_past, &seq_id, 1, true);
 
     prompt.push_back(id_last);
 
     //LOG_DBG("%s: draft prompt: %s\n", __func__, string_from(ctx, prompt).c_str());
 
-    llama_decode(ctx, batch);
+    llama_decode_ext(ctx, batch.get());
 
     common_sampler_reset(smpl);
 
     // sample n_draft tokens from the draft model
     for (int i = 0; i < params.n_draft; ++i) {
-        common_batch_clear(batch);
+        llama_batch_ext_clear(batch.get());
 
         common_sampler_sample(smpl, ctx, 0, true);
 
@@ -265,10 +265,10 @@ llama_tokens common_speculative_gen_draft(
             break;
         }
 
-        common_batch_add(batch, id, n_past + i + 1, { 0 }, true);
+        llama_batch_ext_add_text_token(batch.get(), id, n_past + i + 1, &seq_id, 1, true);
 
         // evaluate the drafted tokens on the draft model
-        llama_decode(ctx, batch);
+        llama_decode_ext(ctx, batch.get());
 
         prompt.push_back(id);
     }