from collections.abc import Iterator import torch from vllm.config import VllmConfig from vllm.v1.attention.backend import AttentionBackend # type: ignore from vllm.v1.kv_cache_interface import KVCacheConfig from vllm.v1.kv_offload.abstract import LoadStoreSpec, OffloadingManager from vllm.v1.kv_offload.backends.cpu import CPUBackend from vllm.v1.kv_offload.lru_manager import LRUOffloadingManager from vllm.v1.kv_offload.mediums import CPULoadStoreSpec, GPULoadStoreSpec from vllm.v1.kv_offload.spec import OffloadingSpec from vllm.v1.kv_offload.worker.worker import OffloadingHandler from vllm_ascend.kv_offload.cpu_npu import CpuNpuOffloadingHandler class NPUOffloadingSpec(OffloadingSpec): def __init__(self, vllm_config: VllmConfig, kv_cache_config: KVCacheConfig | None = None): super().__init__(vllm_config, kv_cache_config) num_cpu_blocks = self.extra_config.get("num_cpu_blocks") if not num_cpu_blocks: raise Exception("num_cpu_blocks must be specified in kv_connector_extra_config") self.num_cpu_blocks: int = num_cpu_blocks # scheduler-side self._manager: OffloadingManager | None = None # worker-side self._handler: OffloadingHandler | None = None def get_manager(self) -> OffloadingManager: if not self._manager: kv_events_config = self.vllm_config.kv_events_config enable_events = kv_events_config is not None and kv_events_config.enable_kv_cache_events self._manager = LRUOffloadingManager( CPUBackend(block_size=self.offloaded_block_size, num_blocks=self.num_cpu_blocks), enable_events=enable_events, ) return self._manager def get_handlers( self, kv_caches: dict[str, torch.Tensor], attn_backends: dict[str, type[AttentionBackend]], ) -> Iterator[tuple[type[LoadStoreSpec], type[LoadStoreSpec], OffloadingHandler]]: if not self._handler: self._handler = CpuNpuOffloadingHandler( attn_backends=attn_backends, gpu_block_size=self.gpu_block_size, cpu_block_size=self.offloaded_block_size, num_cpu_blocks=self.num_cpu_blocks, gpu_caches=kv_caches, ) assert self._handler is not None yield GPULoadStoreSpec, CPULoadStoreSpec, self._handler yield CPULoadStoreSpec, GPULoadStoreSpec, self._handler