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chore: import upstream snapshot with attribution
2026-07-13 12:32:31 +08:00

125 lines
4.1 KiB
Python

# Copyright (c) 2026 LightSeek Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
from __future__ import annotations
import torch
from tokenspeed.runtime.cache.kvstore_controller import LayerDoneCounter
from tokenspeed.runtime.cache.transfer.types import CacheKind
class KVCachePool:
kind = CacheKind.KV
def __init__(
self,
device_pool,
host_pool,
io_backend: str,
layer_num: int,
draft_device_pool=None,
draft_host_pool=None,
draft_layer_num: int = 0,
):
self.device_pool = device_pool
self.host_pool = host_pool
self.io_backend = io_backend
self.layer_num = layer_num
self.draft_device_pool = draft_device_pool
self.draft_host_pool = draft_host_pool
self.draft_layer_num = draft_layer_num
self._counter = LayerDoneCounter(max(layer_num, draft_layer_num, 1))
device_pool.register_layer_transfer_counter(self._counter)
@property
def device(self) -> torch.device | str:
return self.device_pool.device
@property
def host_layout(self) -> str:
return self.host_pool.layout
def page_size(self) -> int:
return self.host_pool.page_size
def num_layers(self) -> int:
return max(self.layer_num, self.draft_layer_num)
def supports_layerwise_loadback(self) -> bool:
return True
def get_layer_done_counter(self) -> LayerDoneCounter:
return self._counter
def local_layer_idx(self, global_layer_id: int) -> int:
return global_layer_id
def writeback(
self,
src_indices: torch.Tensor,
dst_indices: torch.Tensor,
block_quota: int | None = None,
) -> None:
self.host_pool.backup_from_device_all_layer(
self.device_pool,
dst_indices,
src_indices,
self.io_backend,
block_quota=block_quota,
)
if self.draft_host_pool is not None:
self.draft_host_pool.backup_from_device_all_layer(
self.draft_device_pool,
dst_indices,
src_indices,
self.io_backend,
block_quota=block_quota,
)
def loadback(
self, src_indices: torch.Tensor, dst_indices: torch.Tensor, layer_idx: int
) -> None:
if layer_idx < self.layer_num:
self.host_pool.load_to_device_per_layer(
self.device_pool,
src_indices,
dst_indices,
layer_idx,
self.io_backend,
)
if self.draft_host_pool is not None and layer_idx < self.draft_layer_num:
self.draft_host_pool.load_to_device_per_layer(
self.draft_device_pool,
src_indices,
dst_indices,
layer_idx,
self.io_backend,
)
def alloc_host(self, n: int) -> torch.Tensor | None:
return self.host_pool.alloc(n)
def free_host(self, indices: torch.Tensor) -> None:
self.host_pool.free(indices)
def host_available(self) -> int:
return self.host_pool.available_size()