add qwen3

vllm-v0.6.2/tests/models/decoder_only/language/test_models.py

@@ -0,0 +1,88 @@
+"""Compare the outputs of HF and vLLM when using greedy sampling.
+
+Run `pytest tests/models/test_models.py`.
+"""
+import pytest
+
+from ...utils import check_logprobs_close
+
+
+'''
+=============================
+Modify by vllm_mlu
+=============================
+@brief(MODELS): Only test gpt2, Llama-3.2-1B-Instruct, opt-125m.
+''' 
+@pytest.mark.parametrize(
+    "model",
+    [
+        # pytest.param(
+        #     "bigscience/bloom-560m",  # bloom - testing alibi slopes
+        #     marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+        # ),
+        pytest.param(
+            "openai-community/gpt2",  # gpt2
+            marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+        ),
+        # pytest.param("Milos/slovak-gpt-j-405M"),  # gptj
+        # pytest.param("bigcode/tiny_starcoder_py"),  # gpt_bigcode
+        # pytest.param("EleutherAI/pythia-70m"),  # gpt_neox
+        # pytest.param(
+        #     "google/gemma-1.1-2b-it",  # gemma
+        #     marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+        # ),
+        pytest.param(
+            "meta-llama/Llama-3.2-1B-Instruct",  # llama
+            marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+        ),
+        # pytest.param(
+        #     "openbmb/MiniCPM3-4B",
+        #     # fused_moe not supported on CPU
+        #     marks=[pytest.mark.core_model],
+        # ),
+        pytest.param(
+            "facebook/opt-125m",  # opt
+            marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+        ),
+        # pytest.param(
+        #     "microsoft/phi-2",  # phi
+        #     marks=[pytest.mark.core_model],
+        # ),
+        # pytest.param(
+        #     "Qwen/Qwen2.5-0.5B-Instruct",  # qwen2
+        #     marks=[pytest.mark.core_model],
+        # ),
+        # pytest.param("stabilityai/stablelm-3b-4e1t"),  # stablelm
+        # pytest.param("bigcode/starcoder2-3b"),  # starcoder2
+    ])
+@pytest.mark.parametrize("dtype", ["half"])
+@pytest.mark.parametrize("max_tokens", [32])
+@pytest.mark.parametrize("num_logprobs", [5])
+def test_models(
+    hf_runner,
+    vllm_runner,
+    example_prompts,
+    model: str,
+    dtype: str,
+    max_tokens: int,
+    num_logprobs: int,
+) -> None:
+
+    with hf_runner(model, dtype=dtype) as hf_model:
+        hf_outputs = hf_model.generate_greedy_logprobs_limit(
+            example_prompts, max_tokens, num_logprobs)
+
+    with vllm_runner(model, dtype=dtype) as vllm_model:
+        vllm_outputs = vllm_model.generate_greedy_logprobs(
+            example_prompts, max_tokens, num_logprobs)
+        # This test is for verifying whether the model's extra_repr
+        # can be printed correctly.
+        print(vllm_model.model.llm_engine.model_executor.driver_worker.
+              model_runner.model)
+
+    check_logprobs_close(
+        outputs_0_lst=hf_outputs,
+        outputs_1_lst=vllm_outputs,
+        name_0="hf",
+        name_1="vllm",
+    )