add qwen3

vllm-v0.6.2/tests/lora/test_gemma.py

@@ -0,0 +1,54 @@
+from typing import List
+
+import pytest
+
+import vllm
+from vllm.lora.request import LoRARequest
+from vllm.platforms import current_platform
+
+MODEL_PATH = "google/gemma-7b"
+
+
+def do_sample(llm: vllm.LLM, lora_path: str, lora_id: int) -> List[str]:
+    prompts = [
+        "Quote: Imagination is",
+        "Quote: Be yourself;",
+        "Quote: Painting is poetry that is seen rather than felt,",
+    ]
+    sampling_params = vllm.SamplingParams(temperature=0, max_tokens=32)
+    outputs = llm.generate(
+        prompts,
+        sampling_params,
+        lora_request=LoRARequest(str(lora_id), lora_id, lora_path)
+        if lora_id else None)
+    # Print the outputs.
+    generated_texts: List[str] = []
+    for output in outputs:
+        prompt = output.prompt
+        generated_text = output.outputs[0].text.strip()
+        generated_texts.append(generated_text)
+        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
+    return generated_texts
+
+
+@pytest.mark.xfail(current_platform.is_rocm(),
+                   reason="There can be output mismatch on ROCm")
+def test_gemma_lora(gemma_lora_files):
+    llm = vllm.LLM(MODEL_PATH,
+                   max_model_len=1024,
+                   enable_lora=True,
+                   max_loras=4)
+
+    expected_lora_output = [
+        "more important than knowledge.\nAuthor: Albert Einstein\n",
+        "everyone else is already taken.\nAuthor: Oscar Wilde\n",
+        "and poetry is painting that is felt rather than seen.\n"
+        "Author: Leonardo da Vinci\n",
+    ]
+
+    output1 = do_sample(llm, gemma_lora_files, lora_id=1)
+    for i in range(len(expected_lora_output)):
+        assert output1[i].startswith(expected_lora_output[i])
+    output2 = do_sample(llm, gemma_lora_files, lora_id=2)
+    for i in range(len(expected_lora_output)):
+        assert output2[i].startswith(expected_lora_output[i])