[CI] Split pooling from entrypoints Test (#24632)

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

tests/entrypoints/pooling/llm/test_classify.py

@@ -0,0 +1,69 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+import weakref
+
+import pytest
+import torch
+
+from tests.models.utils import softmax
+from vllm import LLM, PoolingParams
+from vllm.distributed import cleanup_dist_env_and_memory
+
+MODEL_NAME = "jason9693/Qwen2.5-1.5B-apeach"
+
+prompts = ["The chef prepared a delicious meal."]
+
+
+@pytest.fixture(scope="module")
+def llm():
+    # pytest caches the fixture so we use weakref.proxy to
+    # enable garbage collection
+    llm = LLM(model=MODEL_NAME,
+              max_num_batched_tokens=32768,
+              tensor_parallel_size=1,
+              gpu_memory_utilization=0.75,
+              enforce_eager=True,
+              seed=0)
+
+    yield weakref.proxy(llm)
+
+    del llm
+
+    cleanup_dist_env_and_memory()
+
+
+@pytest.mark.skip_global_cleanup
+def test_pooling_params(llm: LLM):
+
+    def get_outputs(activation):
+        outputs = llm.classify(
+            prompts,
+            pooling_params=PoolingParams(activation=activation),
+            use_tqdm=False)
+        return torch.tensor([x.outputs.probs for x in outputs])
+
+    default = get_outputs(activation=None)
+    w_activation = get_outputs(activation=True)
+    wo_activation = get_outputs(activation=False)
+
+    assert torch.allclose(default, w_activation,
+                          atol=1e-2), "Default should use activation."
+    assert not torch.allclose(
+        w_activation, wo_activation,
+        atol=1e-2), "wo_activation should not use activation."
+    assert torch.allclose(
+        softmax(wo_activation), w_activation, atol=1e-2
+    ), "w_activation should be close to activation(wo_activation)."
+
+
+def test_encode_api(llm: LLM):
+    err_msg = "pooling_task must be one of.+"
+    with pytest.raises(ValueError, match=err_msg):
+        llm.encode(prompts, use_tqdm=False)
+
+
+def test_score_api(llm: LLM):
+    err_msg = "Score API is only enabled for num_labels == 1."
+    with pytest.raises(ValueError, match=err_msg):
+        llm.score("ping", "pong", use_tqdm=False)