[Bugfix] Fix LoRA loading check (vllm-project#4138)

Co-authored-by: simon-mo <simon.mo@hey.com>

tests/lora/conftest.py

@@ -143,6 +143,12 @@ def baichuan_lora_files():
     return snapshot_download(repo_id="jeeejeee/baichuan7b-text2sql-spider")
 
 
+@pytest.fixture(scope="session")
+def baichuan_zero_lora_files():
+    # all the lora_B weights are initialized to zero.
+    return snapshot_download(repo_id="jeeejeee/baichuan7b-zero-init")
+
+
 @pytest.fixture(scope="session")
 def tinyllama_lora_files():
     return snapshot_download(repo_id="jashing/tinyllama-colorist-lora")

tests/lora/test_lora_checkpoints.py

@@ -3,9 +3,16 @@
 from vllm.lora.models import LoRAModel
 from vllm.model_executor.models.baichuan import BaiChuanBaseForCausalLM
 
+lora_lst = ["baichuan7B", "baichuan7B-zero", "chatglm3-6b"]
 
-@pytest.mark.parametrize("lora_name", ["baichuan7B", "chatglm3-6b"])
-def test_load_checkpoints(lora_name, chatglm3_lora_files, baichuan_lora_files):
+
+@pytest.mark.parametrize("lora_name", lora_lst)
+def test_load_checkpoints(
+    lora_name,
+    baichuan_lora_files,
+    baichuan_zero_lora_files,
+    chatglm3_lora_files,
+):
     supported_lora_modules = BaiChuanBaseForCausalLM.supported_lora_modules
     packed_modules_mapping = BaiChuanBaseForCausalLM.packed_modules_mapping
     embedding_modules = BaiChuanBaseForCausalLM.embedding_modules
@@ -26,6 +33,17 @@ def test_load_checkpoints(lora_name, chatglm3_lora_files, baichuan_lora_files):
             device="cpu",
             embedding_modules=embedding_modules,
             embedding_padding_modules=embed_padding_modules)
+    elif lora_name == "baichuan7B-zero":
+        #Test that the target_modules contain prefix
+        # such as "model.layers.0.self_atten.W_pack", and
+        # the test should pass.
+        LoRAModel.from_local_checkpoint(
+            baichuan_zero_lora_files,
+            expected_lora_modules,
+            lora_model_id=1,
+            device="cpu",
+            embedding_modules=embedding_modules,
+            embedding_padding_modules=embed_padding_modules)
     else:
         # For the baichuan7B model, load chatglm3-6b's LoRA,
         # and the test should raise the following error.

vllm/lora/models.py

@@ -212,7 +212,9 @@ def from_local_checkpoint(
         target_modules = config["target_modules"]
         unexpected_modules = []
         for module in target_modules:
-            if module not in expected_lora_modules:
+            # Compatible with more modules, such as:layers.11.self_attn.k_proj
+            part_name = module.split(".")[-1]
+            if part_name not in expected_lora_modules:
                 unexpected_modules.append(module)
         # loaded lora's target modules must be a subset of expected_lora_modules
         if unexpected_modules: