Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
73 changes: 42 additions & 31 deletions tensorrt_llm/_torch/pyexecutor/py_executor.py
Original file line number Diff line number Diff line change
Expand Up @@ -7459,6 +7459,40 @@ def _recv_disagg_gen_cache(self, new_gen_reqs):

@nvtx_range("_send_kv_async")
def _send_kv_async(self, scheduled_requests: List[LlmRequest]):
# Order matters: reaping before the connector registers its transfer
# can release a request the connector still needs.
self._send_disagg_ctx_kv_async(scheduled_requests)
self._save_kv_to_connector_async(scheduled_requests)
if self.kv_cache_transceiver:
self._check_disagg_ctx_cache_transfer_status(0)

def _send_disagg_ctx_kv_async(self,
scheduled_requests: List[LlmRequest]) -> None:
"""Start async KV sends for finished context-only disagg requests."""
if not self.kv_cache_transceiver:
return
for req in scheduled_requests:
if req.is_context_only_request and (
req.is_context_finished or req.is_finished_due_to_length
) and not req.is_finished_due_to_cancellation:
# Forward is done for this request — release the
# IndexMapper slot so new requests can reuse it.
# KV blocks stay allocated for the upcoming transfer.
if hasattr(self.kv_cache_manager, 'release_index_slot'):
self.kv_cache_manager.release_index_slot(req.py_request_id)
# Order is important here: we need to start the transfer before responding
# to make sure the blocks are stored for reuse before they are sent.
self.async_transfer_manager.start_transfer(req)
self.kv_cache_transceiver.respond_and_send_async(req)

if self.kv_cache_transceiver.kv_transfer_timeout_ms is not None:
req.py_kv_transfer_start_time = time.monotonic()

def _save_kv_to_connector_async(
self, scheduled_requests: List[LlmRequest]) -> None:
"""Hand finished requests' KV blocks to the KV connector for async saving."""
if not self.kv_connector_manager:
return

def kv_connector_request_finished(req: LlmRequest):
try:
Expand All @@ -7472,37 +7506,14 @@ def kv_connector_request_finished(req: LlmRequest):
req, cache_block_ids):
self.async_transfer_manager.start_transfer(req)

if self.kv_cache_transceiver:
for req in scheduled_requests:
if req.is_context_only_request and (
req.is_context_finished or req.is_finished_due_to_length
) and not req.is_finished_due_to_cancellation:
# Forward is done for this request — release the
# IndexMapper slot so new requests can reuse it.
# KV blocks stay allocated for the upcoming transfer.
if hasattr(self.kv_cache_manager, 'release_index_slot'):
self.kv_cache_manager.release_index_slot(
req.py_request_id)
# Order is important here: we need to start the transfer before responding
# to make sure the blocks are stored for reuse before they are sent.
self.async_transfer_manager.start_transfer(req)
self.kv_cache_transceiver.respond_and_send_async(req)

if self.kv_cache_transceiver.kv_transfer_timeout_ms is not None:
req.py_kv_transfer_start_time = time.monotonic()

if self.kv_connector_manager:
if not self.disable_overlap_scheduler:
requests = self.previous_batch.scheduled_requests.all_requests(
) if self.previous_batch is not None else []
else:
requests = scheduled_requests
for req in requests:
if req.is_finished:
kv_connector_request_finished(req)

if self.kv_cache_transceiver:
self._check_disagg_ctx_cache_transfer_status(0)
if not self.disable_overlap_scheduler:
requests = self.previous_batch.scheduled_requests.all_requests(
) if self.previous_batch is not None else []
else:
requests = scheduled_requests
for req in requests:
if req.is_finished:
kv_connector_request_finished(req)

@staticmethod
def _request_vote_id(request: LlmRequest) -> int:
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -67,9 +67,10 @@ def create_mock_resource_manager(kv_cache_manager=None, seq_slot_manager=None):
return resource_manager


class _FakeExecutor:
"""Minimal stand-in for PyExecutor so we can call the unbound
`_send_kv_async` method without constructing the real object."""
class _FakeExecutor(PyExecutor):
"""Minimal PyExecutor stand-in: inherits the real methods (so it keeps
working as `_send_kv_async` internals evolve) but skips
`PyExecutor.__init__` so no engine or distributed wiring is required."""

def __init__(self, kv_cache_manager, async_transfer_manager, kv_cache_transceiver):
self.kv_cache_manager = kv_cache_manager
Expand Down
249 changes: 249 additions & 0 deletions tests/unittest/_torch/executor/test_send_kv_async_split.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,249 @@
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
"""Structure tests for the _send_kv_async split.

``_send_kv_async`` composes two independent legs plus a reap, and the order
is load-bearing (see the comment in the wrapper): the disagg send must
register its transfer before the connector does, and the ctx reap must run
last so a quickly-completed send cannot terminate a request whose connector
transfer is not registered yet. These tests pin that structure, and pin the
property this split exists for: the connector leg keeps running when the
transceiver is disabled.
"""

from types import SimpleNamespace
from unittest.mock import Mock, call

import pytest

from tensorrt_llm._torch.disaggregation.executor.transfer_manager import AsyncTransferManager
from tensorrt_llm._torch.pyexecutor.py_executor import PyExecutor
from tensorrt_llm._torch.pyexecutor.resource_manager import ResourceManagerType

pytestmark = pytest.mark.cpu_only


def _stub_executor() -> PyExecutor:
return object.__new__(PyExecutor)


def _wrapper_calls(executor: PyExecutor) -> list:
calls = []
executor._send_disagg_ctx_kv_async = lambda reqs: calls.append("disagg_send")
executor._save_kv_to_connector_async = lambda reqs: calls.append("connector_save")
executor._check_disagg_ctx_cache_transfer_status = lambda n: calls.append(f"ctx_reap:{n}")
return calls
Comment thread
Shixiaowei02 marked this conversation as resolved.


def test_wrapper_order_disagg_then_connector_then_reap() -> None:
executor = _stub_executor()
calls = _wrapper_calls(executor)
executor.kv_cache_transceiver = object()

PyExecutor._send_kv_async(executor, [])

assert calls == ["disagg_send", "connector_save", "ctx_reap:0"]


def test_wrapper_keeps_connector_leg_without_transceiver() -> None:
"""Connector-only configs must keep working when the disagg path is off."""
executor = _stub_executor()
calls = _wrapper_calls(executor)
executor.kv_cache_transceiver = None

PyExecutor._send_kv_async(executor, [])

assert calls == ["disagg_send", "connector_save"]


def test_disagg_send_leg_is_noop_without_transceiver() -> None:
executor = _stub_executor()
executor.kv_cache_transceiver = None
# Use a request that passes the send filter: without the guard, the loop
# body would hit unset executor attributes and raise.
PyExecutor._send_disagg_ctx_kv_async(executor, [_finished_ctx_only_request()])


def test_connector_save_leg_is_noop_without_connector() -> None:
executor = _stub_executor()
executor.kv_connector_manager = None
PyExecutor._save_kv_to_connector_async(executor, [Mock()])


def _finished_ctx_only_request(request_id: int = 1) -> SimpleNamespace:
return SimpleNamespace(
is_context_only_request=True,
is_context_finished=True,
is_finished_due_to_length=False,
is_finished_due_to_cancellation=False,
py_request_id=request_id,
py_kv_transfer_start_time=None,
)


def test_disagg_send_leg_stores_blocks_before_sending() -> None:
executor = _stub_executor()
transceiver = Mock()
transceiver.kv_transfer_timeout_ms = 1000
executor.kv_cache_transceiver = transceiver
executor.kv_cache_manager = Mock(spec=[]) # no release_index_slot
executor.async_transfer_manager = Mock()
order = Mock()
order.attach_mock(executor.async_transfer_manager.start_transfer, "start")
order.attach_mock(transceiver.respond_and_send_async, "send")
req = _finished_ctx_only_request()

PyExecutor._send_disagg_ctx_kv_async(executor, [req])

assert order.mock_calls == [call.start(req), call.send(req)]
assert req.py_kv_transfer_start_time is not None


def test_disagg_send_leg_skips_timeout_stamp_when_disabled() -> None:
executor = _stub_executor()
transceiver = Mock()
transceiver.kv_transfer_timeout_ms = None
executor.kv_cache_transceiver = transceiver
executor.kv_cache_manager = Mock(spec=[])
executor.async_transfer_manager = Mock()
req = _finished_ctx_only_request()

PyExecutor._send_disagg_ctx_kv_async(executor, [req])

transceiver.respond_and_send_async.assert_called_once_with(req)
assert req.py_kv_transfer_start_time is None


def test_disagg_send_leg_skips_cancelled_and_unfinished_requests() -> None:
executor = _stub_executor()
transceiver = Mock()
executor.kv_cache_transceiver = transceiver
executor.kv_cache_manager = Mock(spec=[])
executor.async_transfer_manager = Mock()
cancelled = _finished_ctx_only_request(2)
cancelled.is_finished_due_to_cancellation = True
unfinished = _finished_ctx_only_request(3)
unfinished.is_context_finished = False

PyExecutor._send_disagg_ctx_kv_async(executor, [cancelled, unfinished])

executor.async_transfer_manager.start_transfer.assert_not_called()
transceiver.respond_and_send_async.assert_not_called()


def _connector_executor() -> PyExecutor:
executor = _stub_executor()
executor.kv_connector_manager = Mock()
executor.kv_connector_manager.request_finished.return_value = True
executor.kv_cache_manager = Mock()
executor.kv_cache_manager.get_cache_indices.return_value = [7]
executor.async_transfer_manager = Mock()
return executor


def test_connector_save_uses_previous_batch_with_overlap_scheduler() -> None:
executor = _connector_executor()
executor.disable_overlap_scheduler = False
prev_req = SimpleNamespace(is_finished=True, py_request_id=2)
executor.previous_batch = SimpleNamespace(
scheduled_requests=SimpleNamespace(all_requests=lambda: [prev_req])
)
current_req = SimpleNamespace(is_finished=True, py_request_id=3)

PyExecutor._save_kv_to_connector_async(executor, [current_req])

executor.kv_connector_manager.request_finished.assert_called_once_with(prev_req, [7])
executor.async_transfer_manager.start_transfer.assert_called_once_with(prev_req)


def test_connector_save_uses_scheduled_batch_without_overlap_scheduler() -> None:
executor = _connector_executor()
executor.disable_overlap_scheduler = True
finished = SimpleNamespace(is_finished=True, py_request_id=4)
running = SimpleNamespace(is_finished=False, py_request_id=5)

PyExecutor._save_kv_to_connector_async(executor, [finished, running])

executor.kv_connector_manager.request_finished.assert_called_once_with(finished, [7])
executor.async_transfer_manager.start_transfer.assert_called_once_with(finished)


def test_connector_save_skips_transfer_when_connector_declines() -> None:
executor = _connector_executor()
executor.disable_overlap_scheduler = True
executor.kv_connector_manager.request_finished.return_value = False
finished = SimpleNamespace(is_finished=True, py_request_id=6)

PyExecutor._save_kv_to_connector_async(executor, [finished])

executor.async_transfer_manager.start_transfer.assert_not_called()


def _dual_claim_executor() -> PyExecutor:
"""Executor running the real wrapper, real legs, and a real
AsyncTransferManager; only the transceiver, connector, and KV cache
manager boundaries are mocked."""
executor = _stub_executor()
kv_cache_manager = Mock()
kv_cache_manager.get_cache_indices.return_value = [7]
executor.kv_cache_manager = kv_cache_manager
resource_manager = SimpleNamespace(
resource_managers={ResourceManagerType.KV_CACHE_MANAGER: kv_cache_manager}
)
executor.async_transfer_manager = AsyncTransferManager(resource_manager)
transceiver = Mock()
transceiver.kv_transfer_timeout_ms = None
executor.kv_cache_transceiver = transceiver
executor.kv_connector_manager = Mock()
executor.disable_overlap_scheduler = True
executor.active_requests = []
executor.force_terminate_ctx_for_partial_reuse = False
executor._disagg_timed_out_ctx_cancelled_ids = set()
executor._terminate_request = Mock()
# Make the reap's trailing _check_cache_transfer_errors a no-op.
executor.enable_attention_dp = True
executor.dist = SimpleNamespace(world_size=2)
return executor


def _dual_claim_request(request_id: int) -> SimpleNamespace:
req = _finished_ctx_only_request(request_id)
req.is_finished = True # the connector leg selects finished requests
req.py_kv_transfer_timed_out = False
req.state = None # start_transfer overwrites
return req


def test_reap_keeps_request_still_claimed_by_connector() -> None:
"""The hazard the wrapper order exists for: a send that completes within
the same iteration must not release a request the connector also claimed.
Reaping before the connector leg would drop the transfer refcount to zero
and terminate the request; this test fails under that reordering."""
executor = _dual_claim_executor()
executor.kv_connector_manager.request_finished.return_value = True
req = _dual_claim_request(9)
# The send completes instantly, so the reap sees it in the same call.
executor.kv_cache_transceiver.check_context_transfer_status.return_value = ([9], [])

PyExecutor._send_kv_async(executor, [req])

# The reap released only the send's claim; the connector's claim keeps
# the request pinned.
assert 9 in executor.async_transfer_manager.requests_in_transfer()
executor.kv_cache_manager.unpin_blocks_by_id.assert_not_called()
executor._terminate_request.assert_not_called()


def test_reap_releases_request_once_connector_declines() -> None:
"""Counterpart: with only the send's claim outstanding, the same fast
completion does release and terminate the request."""
executor = _dual_claim_executor()
executor.kv_connector_manager.request_finished.return_value = False
req = _dual_claim_request(9)
executor.kv_cache_transceiver.check_context_transfer_status.return_value = ([9], [])

PyExecutor._send_kv_async(executor, [req])

assert 9 not in executor.async_transfer_manager.requests_in_transfer()
executor.kv_cache_manager.unpin_blocks_by_id.assert_called_once()
executor._terminate_request.assert_called_once_with(req)
Loading