81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
from typing import TYPE_CHECKING
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import psutil
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import torch
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from vllm.logger import init_logger
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from .interface import Platform, PlatformEnum
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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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logger = init_logger(__name__)
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class CpuPlatform(Platform):
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_enum = PlatformEnum.CPU
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@classmethod
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def get_device_name(cls, device_id: int = 0) -> str:
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return "cpu"
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@classmethod
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def get_device_total_memory(cls, device_id: int = 0) -> int:
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return psutil.virtual_memory().total
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@classmethod
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def inference_mode(cls):
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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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import vllm.envs as envs
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from vllm.utils import GiB_bytes
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model_config = vllm_config.model_config
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# Reminder: Please update docs/source/serving/compatibility_matrix.rst
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# If the feature combo become valid
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if not model_config.enforce_eager:
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logger.warning(
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"CUDA graph is not supported on CPU, fallback to the eager "
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"mode.")
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model_config.enforce_eager = True
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cache_config = vllm_config.cache_config
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if cache_config.enable_prefix_caching:
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logger.warning(
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"Prefix caching is not supported on CPU, disable it.")
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cache_config.enable_prefix_caching = False
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kv_cache_space = envs.VLLM_CPU_KVCACHE_SPACE
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if kv_cache_space >= 0:
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if kv_cache_space == 0:
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cache_config.cpu_kvcache_space_bytes = 4 * GiB_bytes # type: ignore
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logger.warning(
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"Environment variable VLLM_CPU_KVCACHE_SPACE (GB) "
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"for CPU backend is not set, using 4 by default.")
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else:
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cache_config.cpu_kvcache_space_bytes = kv_cache_space * GiB_bytes # type: ignore # noqa
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else:
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raise RuntimeError(
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"Invalid environment variable VLLM_CPU_KVCACHE_SPACE"
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f" {kv_cache_space}, expect a positive integer value.")
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scheduler_config = vllm_config.scheduler_config
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if scheduler_config.chunked_prefill_enabled:
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logger.warning(
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"Chunked prefill is not supported on CPU, disable it.")
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scheduler_config.chunked_prefill_enabled = False
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parallel_config = vllm_config.parallel_config
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if (parallel_config.distributed_executor_backend is not None
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and parallel_config.distributed_executor_backend != "mp"):
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logger.warning(("%s is not supported on CPU, fallback to mp "
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"distributed executor backend."),
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parallel_config.distributed_executor_backend)
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parallel_config.distributed_executor_backend = "mp"
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