[Core] Set pooling params based on task and model (#21128)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

tests/models/language/pooling/test_gritlm.py

@@ -2,9 +2,7 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 from __future__ import annotations
 
-import importlib.util
-from array import array
-
+import numpy as np
 import openai
 import pytest
 from scipy.spatial.distance import cosine
@@ -14,10 +12,6 @@ from vllm.config import ModelConfig
 
 from ....utils import RemoteOpenAIServer
 
-# GritLM embedding implementation is only supported by XFormers backend.
-pytestmark = pytest.mark.skipif(not importlib.util.find_spec("xformers"),
-                                reason="GritLM requires XFormers")
-
 MODEL_NAME = "parasail-ai/GritLM-7B-vllm"
 MAX_MODEL_LEN = 4000
 
@@ -26,11 +20,11 @@ def _arr(arr):
     """
     Convert a list of integers to an array of integers.
     """
-    return array("i", arr)
+    return np.array(arr)
 
 
 def test_find_array():
-    from vllm.model_executor.models.gritlm import GritLMPooler
+    from vllm.model_executor.models.gritlm import GritLMMeanPool
 
     model_config = ModelConfig(
         MODEL_NAME,
@@ -41,17 +35,19 @@ def test_find_array():
         dtype="bfloat16",
         seed=0,
     )
-    pooler = GritLMPooler(model_config=model_config)
+    pooling = GritLMMeanPool(model_config=model_config)
 
     arr = _arr([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
 
-    assert pooler._find_array(arr, _arr([3, 4, 5]), start_idx=0) == 3
-    assert pooler._find_array(arr, _arr([3, 4, 5]), start_idx=1) == 3
-    assert pooler._find_array(arr, _arr([3, 4, 5]), start_idx=5) == -1
-    assert pooler._find_array(arr, _arr([3, 5]), start_idx=0) == -1
+    assert pooling._find_array(arr, _arr([3, 4, 5]), start_idx=0) == 3
+    assert pooling._find_array(arr, _arr([3, 4, 5]), start_idx=1) == 3
+    assert pooling._find_array(arr, _arr([3, 4, 5]), start_idx=5) == -1
+    assert pooling._find_array(arr, _arr([3, 4, 5]), end_idx=3) == -1
+    assert pooling._find_array(arr, _arr([3, 4, 5]), end_idx=4) == 3
+    assert pooling._find_array(arr, _arr([3, 5]), start_idx=0) == -1
 
     with pytest.raises(ValueError):
-        pooler._find_array(arr, _arr([3, 4, 5]), start_idx=-1)
+        pooling._find_array(arr, _arr([3, 4, 5]), start_idx=-1)
 
 
 def run_llm_encode(