diff options
Diffstat (limited to 'llama.cpp')
| -rw-r--r-- | llama.cpp | 17 |
1 files changed, 10 insertions, 7 deletions
@@ -1812,6 +1812,12 @@ static bool llama_eval_internal( // otherwise, the threads are spin-lock waiting for the BLAS calls and are degrading the performance n_threads = N >= 32 && ggml_cpu_has_blas() && !ggml_cpu_has_gpublas() ? 1 : n_threads; + struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1]; + struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; + + LLAMA_ASSERT(strcmp(res->name, "result_output") == 0); + LLAMA_ASSERT(strcmp(embeddings->name, "result_norm") == 0); + #if GGML_USE_MPI const int64_t n_layer = hparams.n_layer; ggml_mpi_graph_compute_pre(lctx.ctx_mpi, gf, n_layer); @@ -1825,7 +1831,10 @@ static bool llama_eval_internal( //} ggml_metal_set_n_cb (lctx.ctx_metal, n_threads); ggml_metal_graph_compute(lctx.ctx_metal, gf); - ggml_metal_get_tensor (lctx.ctx_metal, cur); + ggml_metal_get_tensor (lctx.ctx_metal, res); + if (!lctx.embedding.empty()) { + ggml_metal_get_tensor(lctx.ctx_metal, embeddings); + } } else { // IMPORTANT: // Since we don't have efficient Matrix x Matrix Metal multiplication yet, we fallback to vanilla @@ -1856,12 +1865,6 @@ static bool llama_eval_internal( // update kv token count lctx.kv_self.n = n_past + N; - struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1]; - struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; - - LLAMA_ASSERT(strcmp(res->name, "result_output") == 0); - LLAMA_ASSERT(strcmp(embeddings->name, "result_norm") == 0); - if (cgraph_fname) { ggml_graph_export(gf, cgraph_fname); } |