v0.10.1rc1

tests/e2e/singlecard/test_embedding.py

@@ -0,0 +1,49 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# Copyright 2023 The vLLM team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# This file is a part of the vllm-ascend project.
+# Adapted from vllm/tests/basic_correctness/test_basic_correctness.py
+#
+from modelscope import snapshot_download  # type: ignore[import-untyped]
+
+from tests.e2e.conftest import HfRunner, VllmRunner
+from tests.e2e.utils import check_embeddings_close
+
+
+def test_embed_models_correctness():
+    queries = ['What is the capital of China?', 'Explain gravity']
+
+    model_name = snapshot_download("Qwen/Qwen3-Embedding-0.6B")
+    with VllmRunner(
+            model_name,
+            task="embed",
+            enforce_eager=True,
+    ) as vllm_runner:
+        vllm_outputs = vllm_runner.encode(queries)
+
+    with HfRunner(
+            model_name,
+            dtype="float32",
+            is_sentence_transformer=True,
+    ) as hf_runner:
+        hf_outputs = hf_runner.encode(queries)
+
+    check_embeddings_close(
+        embeddings_0_lst=hf_outputs,
+        embeddings_1_lst=vllm_outputs,
+        name_0="hf",
+        name_1="vllm",
+        tol=1e-2,
+    )