From 0d8999a24fab9102bfaaac293687eac009664bef Mon Sep 17 00:00:00 2001
From: Slaren <2141330+slaren@users.noreply.github.com>
Date: Mon, 10 Apr 2023 21:52:10 +0200
Subject: [PATCH] Add compatibility with #801

---
 examples/common.cpp |  3 ++-
 llama.cpp           | 10 ++++++++--
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/examples/common.cpp b/examples/common.cpp
index db01fb23ccd20..040d3a51028b7 100644
--- a/examples/common.cpp
+++ b/examples/common.cpp
@@ -151,6 +151,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
                 break;
             }
             params.lora_adapter = argv[i];
+            params.use_mmap = false;
         } else if (arg == "-i" || arg == "--interactive") {
             params.interactive = true;
         } else if (arg == "--embedding") {
@@ -254,7 +255,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     }
     fprintf(stderr, "  --mtest               compute maximum memory usage\n");
     fprintf(stderr, "  --verbose-prompt      print prompt before generation\n");
-    fprintf(stderr, "  --lora FNAME          apply LoRA adapter\n");
+    fprintf(stderr, "  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
     fprintf(stderr, "  -m FNAME, --model FNAME\n");
     fprintf(stderr, "                        model path (default: %s)\n", params.model.c_str());
     fprintf(stderr, "\n");
diff --git a/llama.cpp b/llama.cpp
index cb5e5d0622925..9ead5ccf98254 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -1800,6 +1800,12 @@ int llama_apply_lora_from_file(struct llama_context * ctx, const char * path_lor
     ggml_context* lora_ctx = ggml_init(params);
     std::unordered_map<std::string, struct ggml_tensor *> lora_tensors;
 
+    // create a name -> tensor map of the model to accelerate lookups
+    std::unordered_map<std::string, struct ggml_tensor*> model_tensors;
+    for (auto & kv: model.tensors_by_name) {
+        model_tensors.insert(kv);
+    }
+
     fprintf(stderr, "%s: ", __func__);
 
     // read tensors and apply
@@ -1839,7 +1845,7 @@ int llama_apply_lora_from_file(struct llama_context * ctx, const char * path_lor
         base_name.erase(pos);
         // fprintf(stderr, "%s: %s => %s (lora type %s) ", __func__, name.c_str(),base_name.c_str(), lora_type.c_str());
 
-        if (model.tensors.find(base_name.data()) == model.tensors.end()) {
+        if (model_tensors.find(base_name.data()) == model_tensors.end()) {
             fprintf(stderr, "%s: unknown tensor '%s' in lora adapter\n", __func__, name.data());
             return 1;
         }
@@ -1878,7 +1884,7 @@ int llama_apply_lora_from_file(struct llama_context * ctx, const char * path_lor
         if (lora_tensors.find(base_name + ".loraA") != lora_tensors.end() &&
             lora_tensors.find(base_name + ".loraB") != lora_tensors.end()) {
 
-            ggml_tensor * tensor = model.tensors[base_name];
+            ggml_tensor * tensor = model_tensors[base_name];
             ggml_tensor * loraA = lora_tensors[base_name + ".loraA"];
             ggml_tensor * loraB = lora_tensors[base_name + ".loraB"];