### What this PR does / why we need it? This pull request significantly enhances the test suite by adding new end-to-end test cases for Qwen3 models on the 310P hardware platform. The primary goal is to ensure the stability and correctness of these models under diverse operational conditions, including various parallelism strategies, data types, and quantization methods. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? E2E test - vLLM version: v0.15.0 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0 --------- Signed-off-by: pu-zhe <zpuaa@outlook.com>
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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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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# This file is a part of the vllm-ascend project.
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#
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import torch_npu
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from vllm.logger import logger
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from vllm_ascend._310p.model_runner_310p import NPUModelRunner310
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from vllm_ascend.worker.worker import NPUWorker, init_workspace_manager
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class NPUWorker310(NPUWorker):
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def init_device(self):
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self.device = self._init_device()
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torch_npu.npu.set_compile_mode(jit_compile=False)
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init_workspace_manager(self.device, num_ubatches=1)
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self.model_runner = NPUModelRunner310(self.vllm_config, self.device)
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def _warm_up_atb(self):
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# 310p device do not support torch_npu._npu_matmul_add_fp32 atb ops
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logger.info("Skip warm-up atb ops for 310P device.")
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