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

184 行
6.6 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.
"""Tests for request_pool_indices in ExecutionPlan forward ops.
Covers:
- Prefill assigns a pool index in [0, max_batch_size)
- Pool index is stable across prefill and decode phases
- Concurrent requests get distinct pool slots
- Pool slot is reused after a request finishes
"""
from tokenspeed_scheduler import (
ExecutionEvent,
ForwardEvent,
RequestSpec,
Scheduler,
SchedulerConfig,
)
def make_config(
max_scheduled_tokens: int = 512,
max_batch_size: int = 8,
page_size: int = 16,
num_device_pages: int = 1024,
) -> SchedulerConfig:
cfg = SchedulerConfig()
cfg.block_size = page_size
cfg.max_scheduled_tokens = max_scheduled_tokens
cfg.max_batch_size = max_batch_size
cfg.num_device_pages = num_device_pages
return cfg
def make_spec(request_id: str, tokens: list[int]) -> RequestSpec:
spec = RequestSpec()
spec.request_id = request_id
spec.tokens = tokens
return spec
def submit(scheduler: Scheduler, request_id: str, tokens: list[int]) -> None:
scheduler.submit_requests([make_spec(request_id, tokens)])
def advance_forward(
scheduler: Scheduler, request_id: str, tokens: list[int] = (), finish: bool = False
) -> None:
ec = ExecutionEvent()
if tokens:
ev = ForwardEvent.ExtendResult()
ev.request_id = request_id
ev.tokens = list(tokens)
ec.add_event(ev)
if finish:
ev = ForwardEvent.Finish()
ev.request_id = request_id
ec.add_event(ev)
scheduler.advance(ec)
def send_reserve(scheduler: Scheduler, request_id: str, n: int = 0) -> None:
"""Send UpdateReserveNumTokens to a Decoding request to satisfy the assert."""
ec = ExecutionEvent()
ev = ForwardEvent.UpdateReserveNumTokens()
ev.request_id = request_id
ev.reserve_num_tokens_in_next_schedule_event = n
ec.add_event(ev)
scheduler.advance(ec)
def get_to_decoding(
scheduler: Scheduler,
request_id: str,
tokens: list[int],
decoding_peers: list[str] = (),
) -> None:
"""Submit and advance through prefill to reach Decoding.
decoding_peers: request_ids already Decoding that need reserve set before next plan.
"""
submit(scheduler, request_id, tokens)
scheduler.next_execution_plan() # → PrefillDone
for peer in decoding_peers:
send_reserve(scheduler, peer, 0)
scheduler.next_execution_plan() # → Decoding
def get_forward_op(plan):
ops = plan.forward
return ops[0] if ops else None
class TestReqPoolIndices:
def test_prefill_assigns_pool_index_in_range(self):
"""Each prefilled request gets a pool index in [0, max_batch_size)."""
s = Scheduler(make_config(max_scheduled_tokens=512, max_batch_size=4))
submit(s, "r0", list(range(4)))
plan = s.next_execution_plan()
op = plan.forward[0]
assert op.num_extends() > 0
assert len(op.request_pool_indices) == 1
assert op.request_pool_indices[0] == 1
def test_decode_carries_same_pool_index_as_prefill(self):
"""A request keeps the same pool index across prefill and decode phases."""
s = Scheduler(make_config(max_scheduled_tokens=512, max_batch_size=4))
submit(s, "r0", list(range(4))) # → Submitted
prefill_plan = s.next_execution_plan() # → PrefillDone
prefill_idx = prefill_plan.forward[0].request_pool_indices[0]
decode_plan = s.next_execution_plan() # PrefillDone → Decoding
decode_idx = decode_plan.forward[0].request_pool_indices[0]
assert prefill_idx == decode_idx
send_reserve(s, "r0", 0) # set reserve before second decode plan
decode_plan = s.next_execution_plan() # Decoding → Decoding
decode_idx = decode_plan.forward[0].request_pool_indices[0]
assert prefill_idx == decode_idx
def test_two_requests_get_distinct_pool_indices(self):
"""Concurrent requests are assigned distinct pool slots."""
s = Scheduler(make_config(max_scheduled_tokens=512, max_batch_size=4))
get_to_decoding(s, "r0", list(range(4)))
get_to_decoding(s, "r1", list(range(4)), decoding_peers=["r0"])
# Both r0 and r1 are Decoding; set reserve before plan.
send_reserve(s, "r0", 0)
send_reserve(s, "r1", 0)
plan = s.next_execution_plan()
op = plan.forward[0]
assert op.num_extends() == 0
assert len(op.request_pool_indices) == 2
assert op.request_pool_indices[0] != op.request_pool_indices[1]
for idx in op.request_pool_indices:
assert 1 <= idx <= 4
def test_pool_index_reused_after_request_finishes(self):
"""After a request finishes, its pool slot can be reused by a new request."""
s = Scheduler(make_config(max_scheduled_tokens=512, max_batch_size=2))
get_to_decoding(s, "r0", list(range(4)))
send_reserve(s, "r0", 0) # set reserve before first decode plan
first_plan = s.next_execution_plan()
r0_idx = first_plan.forward[0].request_pool_indices[0]
advance_forward(s, "r0", finish=True)
s.next_execution_plan() # erases r0 (FinishEvent already applied)
submit(s, "r1", list(range(4)))
new_plan = s.next_execution_plan() # r1: Submitted → PrefillDone
r1_idx = new_plan.forward[0].request_pool_indices[0]
submit(s, "r2", list(range(4)))
new_plan = (
s.next_execution_plan()
) # r2: Submitted → PrefillDone (r1 also schedules)
r2_idx = new_plan.forward[0].request_pool_indices[0]
assert r0_idx == 1
assert r1_idx == 2
assert r0_idx == r2_idx