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Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 9, 23:00 UTC
OffloadingConnector: Prevent redundant loads (#29087)
Signed-off-by: Or Ozeri <oro@il.ibm.com>
Or Ozeri committed
Jan 21, 2026 at 03:15 UTC
7013e9ac8f65fc64bae3fe5bfab4bcd7b8ef8352
5 files changed
+109
-8
tests/v1/kv_connector/unit/test_offloading_connector.py
+67
-1
@@ -213,7 +213,6 @@ class RequestRunner:
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)
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def new_request(self, token_ids: list[int]):
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- assert not self.scheduler.requests
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self.req_id += 1
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req = Request(
@@ -338,11 +337,20 @@ class RequestRunner:
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token_id=token_id or 0,
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)
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+ prev_token_id = token_id
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if self.scheduler.running:
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token_id = next(tokens_iter, None)
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self.scheduler.update_from_output(scheduler_output, model_runner_output)
345
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+ if (
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+ prev_token_id is EOS_TOKEN_ID
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+ and prev_token_id != token_id
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+ and self.scheduler.requests
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+ ):
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+ # continue for one more step to allow offloading to kick off
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+ continue
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+
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if token_id is None:
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break
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@@ -651,3 +659,61 @@ def test_request_preemption(request_runner):
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decoded_tokens=[EOS_TOKEN_ID],
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expected_stored_gpu_block_indexes=(9, 10, 11),
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)
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+
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+
664
+def test_concurrent_lookups_of_the_same_prefix(request_runner):
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+ offloaded_block_size = 12
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+ gpu_block_size = 4
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+ num_gpu_blocks = 100
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+
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+ runner = request_runner(
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+ offloaded_block_size=offloaded_block_size,
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+ gpu_block_size=gpu_block_size,
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+ num_gpu_blocks=num_gpu_blocks,
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+ )
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+
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+ # store 1 blocks
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+ runner.new_request(token_ids=[0] * offloaded_block_size)
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+ runner.manager.prepare_store.side_effect = (
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+ lambda block_hashes: generate_store_output(block_hashes)
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+ )
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+ runner.run(
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+ decoded_tokens=[EOS_TOKEN_ID],
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+ expected_stored_gpu_block_indexes=(0, 1, 2),
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+ )
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+
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+ # start a request to load the first block, but don't complete
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+ runner.scheduler.reset_prefix_cache()
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+ runner.new_request(token_ids=[0] * offloaded_block_size)
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+ runner.manager.lookup.return_value = 1
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+ runner.run(
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+ decoded_tokens=[],
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+ complete_transfers=False,
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+ )
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+
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+ # request triggered a load
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+ transfer_jobs = list(runner.offloading_spec.handler.transfer_specs)
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+ assert transfer_jobs
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+
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+ # start a new request to load the same first block
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+ runner.new_request(token_ids=[0] * offloaded_block_size)
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+ runner.manager.lookup.return_value = 1
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+ runner.run(
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+ decoded_tokens=[],
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+ complete_transfers=False,
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+ )
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+
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+ # request did not trigger a load
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+ assert transfer_jobs == list(runner.offloading_spec.handler.transfer_specs)
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+
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+ # complete transfers
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+ runner.manager.prepare_store.side_effect = (
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+ lambda block_hashes: generate_store_output([])
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+ )
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+ runner.run(
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+ decoded_tokens=[EOS_TOKEN_ID],
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+ expected_loaded_gpu_block_indexes=(0, 1, 2),
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+ )
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+
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+ # second request will use the GPU prefix cache
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+ assert transfer_jobs == list(runner.offloading_spec.handler.transfer_specs)
vllm/distributed/kv_transfer/kv_connector/v1/offloading_connector.py
+36
-3
@@ -107,7 +107,7 @@ class OffloadingConnector(KVConnectorBase_V1):
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def get_num_new_matched_tokens(
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self, request: "Request", num_computed_tokens: int
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- ) -> tuple[int, bool]:
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+ ) -> tuple[int | None, bool]:
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assert self.connector_scheduler is not None
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return self.connector_scheduler.get_num_new_matched_tokens(
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request, num_computed_tokens
@@ -161,6 +161,11 @@ class OffloadingConnectorScheduler:
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# request blocks are stored in order
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# index of next block (of size offloaded_block_size) to offload
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self._next_stored_block_idx: dict[ReqId, int] = {}
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+ # if GPU prefix caching is enabled,
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+ # track loaded blocks to avoid redundant loads
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+ self._blocks_being_loaded: set[BlockHash] | None = (
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+ set() if spec.vllm_config.cache_config.enable_prefix_caching else None
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+ )
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# request ID -> set(block hashes being stored/load)
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self._reqs_being_stored = defaultdict[ReqId, set[BlockHash]](set)
@@ -181,7 +186,7 @@ class OffloadingConnectorScheduler:
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def get_num_new_matched_tokens(
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self, request: Request, num_computed_tokens: int
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- ) -> tuple[int, bool]:
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+ ) -> tuple[int | None, bool]:
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"""
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Get number of new tokens that can be loaded beyond the
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num_computed_tokens.
@@ -195,6 +200,9 @@ class OffloadingConnectorScheduler:
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A tuple with the following elements:
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- The number of tokens that can be loaded beyond what is
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already computed.
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+ If None, it means that the connector needs more time to
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+ determine the number of matched tokens, and the scheduler
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+ should query for this request again later.
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- `True` if tokens will be loaded asynchronously
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(between scheduler steps).
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"""
@@ -214,6 +222,9 @@ class OffloadingConnectorScheduler:
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hits = self.manager.lookup(
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self._get_block_hashes(request, start_idx=start_block_idx)
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)
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+ if hits is None:
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+ # indicates a lookup that should be tried later
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+ return None, False
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if hits == 0:
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return 0, False
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@@ -229,6 +240,22 @@ class OffloadingConnectorScheduler:
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if num_hit_tokens < self.offloaded_block_size:
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return 0, False
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+ if self._blocks_being_loaded:
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+ block_hashes = self._get_block_hashes(
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+ request, start_idx=start_block_idx, end_idx=start_block_idx + hits
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+ )
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+
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+ if any(
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+ block_hash in self._blocks_being_loaded for block_hash in block_hashes
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+ ):
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+ # hit blocks are being loaded, delay request
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+ logger.debug(
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+ "Delaying request %s since some of its blocks are already"
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+ " being loaded",
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+ request.request_id,
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+ )
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+ return None, False
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+
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return num_hit_tokens, True
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def update_state_after_alloc(
@@ -270,9 +297,13 @@ class OffloadingConnectorScheduler:
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)
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self._reqs_to_load[request.request_id] = (src_spec, dst_spec)
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- self._reqs_being_loaded[request.request_id].update(block_hashes)
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+ req_blocks_being_loaded = self._reqs_being_loaded[request.request_id]
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+ req_blocks_being_loaded.update(block_hashes)
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self._next_stored_block_idx[request.request_id] = num_blocks
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+ if self._blocks_being_loaded is not None:
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+ self._blocks_being_loaded.update(req_blocks_being_loaded)
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+
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def _get_reqs_to_store(self, scheduler_output: SchedulerOutput):
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reqs_to_store: dict[ReqId, TransferSpec] = {}
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# iterate over both new and cached requests
@@ -379,6 +410,8 @@ class OffloadingConnectorScheduler:
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for req_id in connector_output.finished_recving or []:
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block_hashes = self._reqs_being_loaded.pop(req_id, None)
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if block_hashes:
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+ if self._blocks_being_loaded:
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+ self._blocks_being_loaded.difference_update(block_hashes)
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self.manager.complete_load(block_hashes)
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def request_finished(
vllm/v1/kv_offload/abstract.py
+4
-2
@@ -68,7 +68,7 @@ class OffloadingEvent:
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class OffloadingManager(ABC):
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@abstractmethod
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- def lookup(self, block_hashes: Iterable[BlockHash]) -> int:
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+ def lookup(self, block_hashes: Iterable[BlockHash]) -> int | None:
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"""
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Finds the length of the maximal series of blocks, starting from the
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first one, that are all offloaded.
@@ -78,7 +78,9 @@ class OffloadingManager(ABC):
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Returns:
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An integer representing the maximal number of blocks that
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- are currently offloaded.
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+ are currently offloaded, or None if the lookup should be retried
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+ later. Returning None will delay the request handling by the vLLM
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+ scheduler.
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"""
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pass
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vllm/v1/kv_offload/arc_manager.py
+1
-1
@@ -63,7 +63,7 @@ class ARCOffloadingManager(OffloadingManager):
63
self.events: list[OffloadingEvent] | None = [] if enable_events else None
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self.cache_capacity: int = self.backend.get_num_free_blocks()
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- def lookup(self, block_hashes: Iterable[BlockHash]) -> int:
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+ def lookup(self, block_hashes: Iterable[BlockHash]) -> int | None:
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hit_count = 0
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for block_hash in block_hashes:
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block = self.t1.get(block_hash) or self.t2.get(block_hash)
vllm/v1/kv_offload/lru_manager.py
+1
-1
@@ -24,7 +24,7 @@ class LRUOffloadingManager(OffloadingManager):
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self.blocks: OrderedDict[BlockHash, BlockStatus] = OrderedDict()
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self.events: list[OffloadingEvent] | None = [] if enable_events else None
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- def lookup(self, block_hashes: Iterable[BlockHash]) -> int:
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+ def lookup(self, block_hashes: Iterable[BlockHash]) -> int | None:
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hit_count = 0
29
for block_hash in block_hashes:
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block = self.blocks.get(block_hash)