[https://nvbugs/5503529][fix] Change test_llmapi_example_multilora to get adapters path from cmd line to avoid downloading from HF

examples/llm-api/llm_multilora.py

@@ -1,24 +1,35 @@
 ### :section Customization
 ### :title Generate text with multiple LoRA adapters
 ### :order 5
+
+import argparse
+from typing import Optional
+
 from huggingface_hub import snapshot_download
 
 from tensorrt_llm import LLM
 from tensorrt_llm.executor import LoRARequest
 from tensorrt_llm.lora_helper import LoraConfig
 
 
-def main():
+def main(chatbot_lora_dir: Optional[str], mental_health_lora_dir: Optional[str],
+         tarot_lora_dir: Optional[str]):
 
-    # Download the LoRA adapters from huggingface hub.
-    lora_dir1 = snapshot_download(repo_id="snshrivas10/sft-tiny-chatbot")
-    lora_dir2 = snapshot_download(
-        repo_id="givyboy/TinyLlama-1.1B-Chat-v1.0-mental-health-conversational")
-    lora_dir3 = snapshot_download(repo_id="barissglc/tinyllama-tarot-v1")
+    # Download the LoRA adapters from huggingface hub, if not provided via command line args.
+    if chatbot_lora_dir is None:
+        chatbot_lora_dir = snapshot_download(
+            repo_id="snshrivas10/sft-tiny-chatbot")
+    if mental_health_lora_dir is None:
+        mental_health_lora_dir = snapshot_download(
+            repo_id=
+            "givyboy/TinyLlama-1.1B-Chat-v1.0-mental-health-conversational")
+    if tarot_lora_dir is None:
+        tarot_lora_dir = snapshot_download(
+            repo_id="barissglc/tinyllama-tarot-v1")
 
     # Currently, we need to pass at least one lora_dir to LLM constructor via build_config.lora_config.
     # This is necessary because it requires some configuration in the lora_dir to build the engine with LoRA support.
-    lora_config = LoraConfig(lora_dir=[lora_dir1],
+    lora_config = LoraConfig(lora_dir=[chatbot_lora_dir],
                              max_lora_rank=64,
                              max_loras=3,
                              max_cpu_loras=3)
@@ -39,10 +50,11 @@ def main():
     for output in llm.generate(prompts,
                                lora_request=[
                                    None,
-                                   LoRARequest("chatbot", 1, lora_dir1), None,
-                                   LoRARequest("mental-health", 2, lora_dir2),
+                                   LoRARequest("chatbot", 1, chatbot_lora_dir),
                                    None,
-                                   LoRARequest("tarot", 3, lora_dir3)
+                                   LoRARequest("mental-health", 2,
+                                               mental_health_lora_dir), None,
+                                   LoRARequest("tarot", 3, tarot_lora_dir)
                                ]):
         prompt = output.prompt
         generated_text = output.outputs[0].text
@@ -58,4 +70,20 @@ def main():
 
 
 if __name__ == '__main__':
-    main()
+    parser = argparse.ArgumentParser(
+        description="Generate text with multiple LoRA adapters")
+    parser.add_argument('--chatbot_lora_dir',
+                        type=str,
+                        default=None,
+                        help='Path to the chatbot LoRA directory')
+    parser.add_argument('--mental_health_lora_dir',
+                        type=str,
+                        default=None,
+                        help='Path to the mental health LoRA directory')
+    parser.add_argument('--tarot_lora_dir',
+                        type=str,
+                        default=None,
+                        help='Path to the tarot LoRA directory')
+    args = parser.parse_args()
+    main(args.chatbot_lora_dir, args.mental_health_lora_dir,
+         args.tarot_lora_dir)

tests/integration/defs/llmapi/test_llm_examples.py

@@ -110,7 +110,16 @@ def test_llmapi_example_inference_async_streaming(llm_root, engine_dir,
 
 
 def test_llmapi_example_multilora(llm_root, engine_dir, llm_venv):
-    _run_llmapi_example(llm_root, engine_dir, llm_venv, "llm_multilora.py")
+    cmd_line_args = [
+        "--chatbot_lora_dir",
+        f"{llm_models_root()}/llama-models-v2/sft-tiny-chatbot",
+        "--mental_health_lora_dir",
+        f"{llm_models_root()}/llama-models-v2/TinyLlama-1.1B-Chat-v1.0-mental-health-conversational",
+        "--tarot_lora_dir",
+        f"{llm_models_root()}/llama-models-v2/tinyllama-tarot-v1"
+    ]
+    _run_llmapi_example(llm_root, engine_dir, llm_venv, "llm_multilora.py",
+                        *cmd_line_args)
 
 
 def test_llmapi_example_guided_decoding(llm_root, engine_dir, llm_venv):