fef18b60bc
Refactor E2E CI to make it clear and faster
1. remove some uesless e2e test
2. remove some uesless function
3. Make sure all test runs with VLLMRunner to avoid oom error
4. Make sure all ops test end with torch.empty_cache to avoid oom error
5. run the test one by one to avoid resource limit error
- vLLM version: v0.10.1.1
- vLLM main:
a344a5aa0a
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# This file is a part of the vllm-ascend project.
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# Adapted from vllm/tests/basic_correctness/test_basic_correctness.py
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# Copyright 2023 The vLLM team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import gc
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import os
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import time
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from unittest.mock import patch
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import torch
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import vllm # noqa: F401
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from vllm_ascend.utils import ProfileExecuteDuration
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@patch.dict(os.environ, {"VLLM_ASCEND_MODEL_EXECUTE_TIME_OBSERVE": "1"})
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def test_execue_duration_enabled_discrepancy():
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a = torch.randn(10000, 10000).npu()
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b = torch.randn(10000, 10000).npu()
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# warmup
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torch.matmul(a, b)
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torch.npu.synchronize()
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cpu_start = time.perf_counter()
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with ProfileExecuteDuration().capture_async("forward"):
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torch.matmul(a, b)
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torch.npu.synchronize()
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cpu_duration = (time.perf_counter() - cpu_start) * 1000
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npu_durations = ProfileExecuteDuration().pop_captured_sync()
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assert npu_durations and 'forward' in npu_durations
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assert not ProfileExecuteDuration._observations
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# Assert discrepancy between CPU and NPU duration is within 50% roughly
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diff = abs(cpu_duration - npu_durations['forward']) / max(
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cpu_duration, npu_durations['forward'])
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assert diff <= 0.5, (
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f"CPU={cpu_duration:.2f}ms, NPU={npu_durations['forward']:.2f}ms")
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gc.collect()
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torch.npu.empty_cache()
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torch.npu.reset_peak_memory_stats()
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def test_execue_duration_disabled():
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a = torch.randn(100, 100).npu()
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b = torch.randn(100, 100).npu()
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with ProfileExecuteDuration().capture_async("forward"):
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torch.matmul(a, b)
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torch.npu.synchronize()
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npu_durations = ProfileExecuteDuration().pop_captured_sync()
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assert not npu_durations
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gc.collect()
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torch.npu.empty_cache()
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torch.npu.reset_peak_memory_stats()
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