+test

Signed-off-by: wang.yuqi <noooop@126.com>

Author: noooop

tests/models/language/pooling/test_classification_pooler_config.py

@@ -0,0 +1,48 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import pytest
+import torch.nn.functional as F
+
+from vllm.config import PoolerConfig
+from vllm.multimodal.inputs import torch
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "jason9693/Qwen2.5-1.5B-apeach",
+        "papluca/xlm-roberta-base-language-detection"
+    ],
+)
+@pytest.mark.parametrize("dtype", ["half"])
+def test_models(
+    hf_runner,
+    vllm_runner,
+    example_prompts,
+    model: str,
+    dtype: str,
+) -> None:
+
+    with vllm_runner(
+            model,
+            max_model_len=512,
+            dtype=dtype,
+            override_pooler_config=PoolerConfig(softmax=False)) as vllm_model:
+        wo_softmax_out = vllm_model.classify(example_prompts)
+
+    with vllm_runner(
+            model,
+            max_model_len=512,
+            dtype=dtype,
+            override_pooler_config=PoolerConfig(softmax=True)) as vllm_model:
+        w_softmax_out = vllm_model.classify(example_prompts)
+
+    for wo_softmax, w_softmax in zip(wo_softmax_out, w_softmax_out):
+        wo_softmax = torch.tensor(wo_softmax)
+        w_softmax = torch.tensor(w_softmax)
+
+        assert not torch.allclose(
+            wo_softmax, w_softmax,
+            atol=1e-2), "override_pooler_config is not working"
+        assert torch.allclose(F.softmax(wo_softmax, dim=-1), w_softmax,
+                              1e-3 if dtype == "float" else 1e-2)