a111d0151f
Signed-off-by: youkaichao <youkaichao@gmail.com> Co-authored-by: Nick Hill <nhill@redhat.com>
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
from typing import TYPE_CHECKING
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import torch
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from .interface import Platform, PlatformEnum, _Backend
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if TYPE_CHECKING:
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from vllm.config import VllmConfig
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else:
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VllmConfig = None
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class HpuPlatform(Platform):
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_enum = PlatformEnum.HPU
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device_type: str = "hpu"
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@classmethod
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def get_default_attn_backend(cls, selected_backend: _Backend) -> _Backend:
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return _Backend.HPU_ATTN
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@staticmethod
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def inference_mode():
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return torch.no_grad()
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@classmethod
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def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
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scheduler_config = vllm_config.scheduler_config
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if scheduler_config.is_multi_step:
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raise NotImplementedError(
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"Multi-step execution is not implemented for HPU")
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if vllm_config.speculative_config is not None:
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raise NotImplementedError(
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"Speculative decoding is not implemented for HPU")
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parallel_config = vllm_config.parallel_config
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if parallel_config.worker_cls == "auto":
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parallel_config.worker_cls = "vllm.worker.hpu_worker.HPUWorker"
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