66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
from __future__ import annotations
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"""Cache for chunked prefill, used when RadixCache is disabled."""
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from typing import TYPE_CHECKING, Any, Callable, List, Tuple
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import torch
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from sglang.srt.mem_cache.base_prefix_cache import BasePrefixCache
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from sglang.srt.mem_cache.memory_pool import ReqToTokenPool, TokenToKVPoolAllocator
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if TYPE_CHECKING:
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from sglang.srt.managers.schedule_batch import Req
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class ChunkCacheEntry:
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def __init__(self, rid: str, value: torch.Tensor):
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self.rid = rid
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self.value = value
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class ChunkCache(BasePrefixCache):
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def __init__(
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self,
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req_to_token_pool: ReqToTokenPool,
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token_to_kv_pool_allocator: TokenToKVPoolAllocator,
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):
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self.req_to_token_pool = req_to_token_pool
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self.token_to_kv_pool_allocator = token_to_kv_pool_allocator
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def reset(self):
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pass
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def match_prefix(self, **unused_kwargs) -> Tuple[List[int], int]:
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return [], None
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def cache_finished_req(self, req: Req):
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kv_indices = self.req_to_token_pool.req_to_token[
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req.req_pool_idx, : len(req.origin_input_ids) + len(req.output_ids) - 1
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]
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self.req_to_token_pool.free(req.req_pool_idx)
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self.token_to_kv_pool_allocator.free(kv_indices)
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def cache_unfinished_req(self, req: Req):
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kv_indices = self.req_to_token_pool.req_to_token[
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req.req_pool_idx, : len(req.fill_ids)
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]
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# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
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req.prefix_indices = kv_indices
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def insert(self):
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raise NotImplementedError()
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def evict(self, num_tokens: int):
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pass
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def inc_lock_ref(self, node: Any):
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return 0
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def dec_lock_ref(self, node: Any):
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return 0
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def pretty_print(self):
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return ""
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