v0.10.1rc1

tests/e2e/multicard/test_pipeline_parallel.py

@@ -0,0 +1,46 @@
+# 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.
+#
+import pytest
+
+from tests.e2e.conftest import VllmRunner
+
+MODELS = [
+    "Qwen/Qwen3-0.6B",
+]
+
+TENSOR_PARALLELS = [1]
+PIPELINE_PARALLELS = [2]
+DIST_EXECUTOR_BACKEND = ["mp", "ray"]
+
+prompts = [
+    "Hello, my name is",
+    "The future of AI is",
+]
+
+
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("tp_size", TENSOR_PARALLELS)
+@pytest.mark.parametrize("pp_size", PIPELINE_PARALLELS)
+@pytest.mark.parametrize("distributed_executor_backend", DIST_EXECUTOR_BACKEND)
+def test_models(model: str, tp_size: int, pp_size: int,
+                distributed_executor_backend: str) -> None:
+    with VllmRunner(model,
+                    tensor_parallel_size=tp_size,
+                    pipeline_parallel_size=pp_size,
+                    distributed_executor_backend=distributed_executor_backend,
+                    gpu_memory_utilization=0.7) as vllm_model:
+        vllm_model.generate_greedy(prompts, 64)