Files
xc-llm-ascend/tests/e2e/multicard/4-cards/test_kimi_k2.py
Li Wang ca297eb57f [CI] Migrate e2e test runner to hk (#5344)
### What this PR does / why we need it?
This patch add new runner labels for the HK region, and e2e single-card
testing has been migrated to this runner.

- vLLM version: release/v0.13.0
- vLLM main:
bc0a5a0c08

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-26 09:00:51 +08:00

49 lines
1.6 KiB
Python

#
# 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
#
import os
import pytest
from tests.e2e.conftest import VllmRunner
os.environ["PYTORCH_NPU_ALLOC_CONF"] = "max_split_size_mb:256"
os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
@pytest.mark.skip(reason="CANN8.5 failed, capture stream failed, fix me")
def test_kimi_k2_thinking_w4a16_tp4():
example_prompts = [
"Hello, my name is",
]
max_tokens = 5
with VllmRunner(
"vllm-ascend/Kimi-K2-Thinking-Pruning",
max_model_len=8192,
dtype="auto",
tensor_parallel_size=4,
enable_expert_parallel=True,
compilation_config={
"cudagraph_mode": "FULL_DECODE_ONLY",
"cudagraph_capture_sizes": [1],
},
) as vllm_model:
vllm_model.generate_greedy(example_prompts, max_tokens)