[CI] Split mteb test from Language Models Test (#24634)

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

tests/models/language/pooling_mteb_test/test_baai.py

@@ -2,10 +2,12 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 import pytest
 
-from ...utils import (CLSPoolingEmbedModelInfo, CLSPoolingRerankModelInfo,
-                      EmbedModelInfo, LASTPoolingEmbedModelInfo,
-                      RerankModelInfo)
-from .embed_utils import correctness_test_embed_models
+from tests.models.language.pooling.embed_utils import (
+    correctness_test_embed_models)
+from tests.models.utils import (CLSPoolingEmbedModelInfo,
+                                CLSPoolingRerankModelInfo, EmbedModelInfo,
+                                LASTPoolingEmbedModelInfo, RerankModelInfo)
+
 from .mteb_utils import mteb_test_embed_models, mteb_test_rerank_models
 
 MODELS = [

tests/models/language/pooling_mteb_test/test_bge_reranker_v2_gemma.py

@@ -7,9 +7,9 @@ import pytest
 import torch
 
 from tests.conftest import HfRunner
-
-from ...utils import LASTPoolingRerankModelInfo, RerankModelInfo
-from .mteb_utils import VllmMtebEncoder, mteb_test_rerank_models
+from tests.models.language.pooling_mteb_test.mteb_utils import (
+    VllmMtebEncoder, mteb_test_rerank_models)
+from tests.models.utils import LASTPoolingRerankModelInfo, RerankModelInfo
 
 RERANK_MODELS = [
     LASTPoolingRerankModelInfo("BAAI/bge-reranker-v2-gemma",

tests/models/language/pooling_mteb_test/test_cross_encoder.py

@@ -2,8 +2,9 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 import pytest
 
-from ...utils import (CLSPoolingRerankModelInfo, LASTPoolingRerankModelInfo,
-                      RerankModelInfo)
+from tests.models.utils import (CLSPoolingRerankModelInfo,
+                                LASTPoolingRerankModelInfo, RerankModelInfo)
+
 from .mteb_utils import mteb_test_rerank_models
 
 RERANK_MODELS = [

tests/models/language/pooling_mteb_test/test_gte.py

@@ -3,10 +3,12 @@
 
 import pytest
 
-from ...utils import (CLSPoolingEmbedModelInfo, CLSPoolingRerankModelInfo,
-                      EmbedModelInfo, LASTPoolingEmbedModelInfo,
-                      RerankModelInfo)
-from .embed_utils import correctness_test_embed_models
+from tests.models.language.pooling.embed_utils import (
+    correctness_test_embed_models)
+from tests.models.utils import (CLSPoolingEmbedModelInfo,
+                                CLSPoolingRerankModelInfo, EmbedModelInfo,
+                                LASTPoolingEmbedModelInfo, RerankModelInfo)
+
 from .mteb_utils import mteb_test_embed_models, mteb_test_rerank_models
 
 MODELS = [

tests/models/language/pooling_mteb_test/test_intfloat.py

@@ -2,8 +2,10 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 import pytest
 
-from ...utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
-from .embed_utils import correctness_test_embed_models
+from tests.models.language.pooling.embed_utils import (
+    correctness_test_embed_models)
+from tests.models.utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
+
 from .mteb_utils import mteb_test_embed_models
 
 MODELS = [

tests/models/language/pooling_mteb_test/test_jina.py

@@ -4,12 +4,13 @@ from functools import partial
 
 import pytest
 
+from tests.models.language.pooling.embed_utils import (
+    check_embeddings_close, correctness_test_embed_models, matryoshka_fy)
+from tests.models.utils import (CLSPoolingEmbedModelInfo,
+                                CLSPoolingRerankModelInfo, EmbedModelInfo,
+                                RerankModelInfo)
 from vllm import PoolingParams
 
-from ...utils import (CLSPoolingEmbedModelInfo, CLSPoolingRerankModelInfo,
-                      EmbedModelInfo, RerankModelInfo)
-from .embed_utils import (check_embeddings_close,
-                          correctness_test_embed_models, matryoshka_fy)
 from .mteb_utils import mteb_test_embed_models, mteb_test_rerank_models
 
 EMBEDDING_MODELS = [

tests/models/language/pooling_mteb_test/test_mxbai_rerank.py

@@ -6,8 +6,8 @@ import pytest
 import torch
 
 from tests.conftest import HfRunner
+from tests.models.utils import LASTPoolingRerankModelInfo, RerankModelInfo
 
-from ...utils import LASTPoolingRerankModelInfo, RerankModelInfo
 from .mteb_utils import mteb_test_rerank_models
 
 mxbai_rerank_hf_overrides = {

tests/models/language/pooling_mteb_test/test_nomic.py

@@ -3,8 +3,10 @@
 
 import pytest
 
-from ...utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
-from .embed_utils import correctness_test_embed_models
+from tests.models.language.pooling.embed_utils import (
+    correctness_test_embed_models)
+from tests.models.utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
+
 from .mteb_utils import mteb_test_embed_models
 
 MODELS = [

tests/models/language/pooling_mteb_test/test_qwen3_reranker.py

@@ -6,9 +6,9 @@ import pytest
 import torch
 
 from tests.conftest import HfRunner
+from tests.models.utils import LASTPoolingRerankModelInfo, RerankModelInfo
 from tests.utils import multi_gpu_test
 
-from ...utils import LASTPoolingRerankModelInfo, RerankModelInfo
 from .mteb_utils import mteb_test_rerank_models
 
 qwen3_reranker_hf_overrides = {

tests/models/language/pooling_mteb_test/test_snowflake_arctic_embed.py

@@ -3,8 +3,10 @@
 
 import pytest
 
-from ...utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
-from .embed_utils import correctness_test_embed_models
+from tests.models.language.pooling.embed_utils import (
+    correctness_test_embed_models)
+from tests.models.utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
+
 from .mteb_utils import mteb_test_embed_models
 
 MODELS = [

tests/models/language/pooling_mteb_test/test_st_projector.py

@@ -2,8 +2,9 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 import pytest
 
-from ...utils import (CLSPoolingEmbedModelInfo, EmbedModelInfo,
-                      LASTPoolingEmbedModelInfo)
+from tests.models.utils import (CLSPoolingEmbedModelInfo, EmbedModelInfo,
+                                LASTPoolingEmbedModelInfo)
+
 from .mteb_utils import mteb_test_embed_models
 
 # ST models with projector (Dense) layers