More and more config options are added to additional_config. This PR provide a new AscendConfig to manage these config options by an easier way to make code cleaner and readable. This PR also added the `additional_config` doc for users. Added the test_ascend_config.py to make sure the new AscendConfig works as expect. TODO: Add e2e test with torchair and deepseek once the CI resource is available. Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
75 lines
3.0 KiB
Python
75 lines
3.0 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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from dataclasses import dataclass, fields
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from typing import Type, Union
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from vllm.config import SchedulerConfig
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@dataclass
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class AscendSchedulerConfig(SchedulerConfig):
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enable_chunked_prefill: bool = False
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policy: str = "fcfs"
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num_scheduler_steps: int = 1
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scheduler_cls: Union[str, Type[object]] = (
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"vllm_ascend.core.scheduler.AscendScheduler")
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@classmethod
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def initialize_from_config(
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cls,
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vllm_scheduler_config: SchedulerConfig,
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ascend_scheduler_config,
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):
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scheduler_config = {
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field.name: getattr(vllm_scheduler_config, field.name)
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for field in fields(vllm_scheduler_config) if field.init
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}
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# Override default values into original SchedulerConfig
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scheduler_config["enable_chunked_prefill"] = False
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scheduler_config["policy"] = "fcfs"
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scheduler_config["num_scheduler_steps"] = 1
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scheduler_config["scheduler_cls"] = (
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"vllm_ascend.core.scheduler.AscendScheduler")
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# Override params in original SchedulerConfig with params in ascend_scheduler_config
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for k, _ in scheduler_config.items():
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if hasattr(ascend_scheduler_config, k):
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scheduler_config[k] = getattr(ascend_scheduler_config, k)
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return cls(**scheduler_config)
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def __post_init__(self) -> None:
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self.max_num_encoder_input_tokens = self.max_num_batched_tokens
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self.encoder_cache_size = self.max_num_batched_tokens
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self.chunked_prefill_enabled = self.enable_chunked_prefill
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if self.policy != "fcfs":
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raise NotImplementedError(
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f"currently AscendScheduler only supports fcfs policy, got {self.policy}"
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)
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if self.is_multimodal_model:
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raise NotImplementedError(
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"currently AscendScheduler only supports LLM models.")
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if self.num_scheduler_steps > 1:
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raise NotImplementedError(
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"currently AscendScheduler doesn't support multi-step.")
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if self.send_delta_data:
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raise NotImplementedError(
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"currently AscendScheduler doesn't support send_delta_data.")
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if self.delay_factor > 0:
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raise NotImplementedError(
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"currently AscendScheduler doesn't support scheduler_delay_factor."
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)
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