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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

121 lines
4.0 KiB
Python

from __future__ import annotations
from types import SimpleNamespace
from unittest.mock import patch
import torch
from sglang.jit_kernel.kv_canary.consts import RealKvHashMode
from sglang.jit_kernel.kv_canary.verify import CanaryLaunchTag
from sglang.srt.kv_canary import endpoint as endpoint_module
from sglang.srt.kv_canary.buffer_group import CanaryBufferGroup
from sglang.srt.kv_canary.capacities import CanaryLaunchCapacities
from sglang.srt.kv_canary.config import CanaryConfig, CanaryMode
from sglang.srt.kv_canary.perturb.config import PerturbConfig
from sglang.srt.kv_canary.runner import kernel_launcher as kernel_launcher_module
from sglang.srt.kv_canary.runner.canary_manager import CanaryManager
from sglang.test.kv_canary.fixtures import (
DEFAULT_DEVICE,
make_buffer_group,
make_req_to_token_pool,
)
from sglang.test.test_utils import CustomTestCase
def make_config(
*,
mode: CanaryMode = CanaryMode.RAISE,
ring_capacity: int = 1024,
sweep_interval: int = 0,
real_kv_hash_mode: RealKvHashMode = RealKvHashMode.NONE,
enable_write_input_assert: bool = False,
enable_verify_token_assert: bool = True,
stats_print_every_n_steps: int = 100,
) -> CanaryConfig:
return CanaryConfig(
mode=mode,
ring_capacity=ring_capacity,
sweep_interval=sweep_interval,
real_kv_hash_mode=real_kv_hash_mode,
enable_write_input_assert=enable_write_input_assert,
enable_verify_token_assert=enable_verify_token_assert,
stats_print_every_n_steps=stats_print_every_n_steps,
)
class RecordingEndpoint:
def __init__(self, *, kernel_kind: CanaryLaunchTag) -> None:
self.kernel_kind = kernel_kind
self.calls: list[dict[str, object]] = []
def launch_per_forward(self, **kwargs: object) -> None:
self.calls.append(kwargs)
def make_perturb_config() -> PerturbConfig:
"""Build a PerturbConfig with every probability pinned to 0 so the
perturb hooks do nothing during unit tests."""
return PerturbConfig(
req_to_token_prob=0.0,
real_kv_used_prob=0.0,
real_kv_unused_cache_prob=0.0,
real_kv_post_forward_prob=0.0,
target_group_kind=None,
warmup_steps=0,
)
def make_manager(
*,
device: torch.device,
config: CanaryConfig | None = None,
perturb_config: PerturbConfig | None = None,
group: CanaryBufferGroup | None = None,
req_pool: SimpleNamespace | None = None,
per_forward_verify_capacity: int = 16,
speculative_num_steps: int = 1,
) -> CanaryManager:
if config is None:
config = make_config()
if perturb_config is None:
perturb_config = make_perturb_config()
if group is None:
group = make_buffer_group(device=device)
if req_pool is None:
req_pool = make_req_to_token_pool(device=device, max_reqs=4, max_seq_len=8)
return CanaryManager(
config=config,
perturb_config=perturb_config,
buffer_groups=(group,),
device=device,
req_to_token_pool=req_pool,
launch_capacities=CanaryLaunchCapacities(
per_forward_verify_capacity=per_forward_verify_capacity,
per_forward_write_req_capacity=2,
per_forward_write_entry_capacity=8,
),
speculative_num_steps=speculative_num_steps,
)
class CanaryManagerTestCase(CustomTestCase):
def setUp(self) -> None:
self.device = DEFAULT_DEVICE
# Stub plan/verify/write kernels so CPU runs don't need CUDA JIT.
self._patchers = [
patch.object(
kernel_launcher_module,
"launch_canary_plan_kernels",
lambda **kwargs: None,
),
patch.object(
endpoint_module, "launch_canary_verify_kernel", lambda **kwargs: None
),
patch.object(
endpoint_module, "launch_canary_write_kernel", lambda **kwargs: None
),
]
for patcher in self._patchers:
patcher.start()
self.addCleanup(patcher.stop)