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221 lines
7.1 KiB
Python
221 lines
7.1 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from typing import Optional
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import torch
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from sglang.jit_kernel.kv_canary.consts import (
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RealKvHashMode,
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)
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from sglang.jit_kernel.kv_canary.verify import (
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CanaryLaunchTag,
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RealKvSource,
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VerifyOrWriteContext,
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VerifyPlan,
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launch_canary_verify_kernel,
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)
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from sglang.jit_kernel.kv_canary.write import (
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WritePlan,
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launch_canary_write_kernel,
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)
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from sglang.srt.kv_canary.buffer_group import CanaryBufferGroup, PoolKind
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from sglang.srt.kv_canary.expected_inputs import ExpectedInputs
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from sglang.srt.kv_canary.state import (
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CanaryDeviceState,
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ViolationLog,
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)
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@dataclass(frozen=True, slots=True, kw_only=True)
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class CanaryEndpoint:
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kernel_kind: CanaryLaunchTag
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canary_buf: torch.Tensor
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full_to_swa_index_mapping: Optional[torch.Tensor]
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real_kv_sources: tuple[RealKvSource, ...]
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slot_run_counter_view: torch.Tensor
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kernel_run_counter_view: torch.Tensor
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enable_chain_position_assert: torch.Tensor
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def launch_per_forward(
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self,
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*,
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verify_plan: VerifyPlan,
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write_plan: WritePlan,
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input_ids: torch.Tensor,
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positions: torch.Tensor,
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out_cache_loc: torch.Tensor,
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enable_write_input_assert: bool,
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enable_verify_token_assert: bool,
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expected_inputs: ExpectedInputs,
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violation_log: ViolationLog,
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real_kv_hash_mode: RealKvHashMode,
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) -> None:
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if _is_sweep_tag(self.kernel_kind):
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raise NotImplementedError(
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f"kv-canary: launch_per_forward not supported on sweep endpoint {self.kernel_kind.name}"
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)
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context = self._make_verify_or_write_context(
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violation_log=violation_log,
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real_kv_hash_mode=real_kv_hash_mode,
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)
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launch_canary_verify_kernel(
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context=context,
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plan=verify_plan,
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check_verify_expected_token=enable_verify_token_assert,
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)
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# SWA endpoints translate the per-token slot indices via a device tensor index op before invoking the write kernel.
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if self.full_to_swa_index_mapping is not None:
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out_cache_loc_for_canary = self.full_to_swa_index_mapping[out_cache_loc]
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else:
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out_cache_loc_for_canary = out_cache_loc
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if enable_write_input_assert:
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expected_input_tokens = expected_inputs.tokens
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expected_input_positions = expected_inputs.positions
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else:
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expected_input_tokens = None
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expected_input_positions = None
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launch_canary_write_kernel(
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context=context,
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plan=write_plan,
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input_ids=input_ids,
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positions=positions,
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out_cache_loc=out_cache_loc_for_canary,
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enable_write_input_assert=enable_write_input_assert,
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expected_input_tokens=expected_input_tokens,
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expected_input_positions=expected_input_positions,
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)
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def launch_sweep(
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self,
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*,
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verify_plan: VerifyPlan,
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violation_log: ViolationLog,
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real_kv_hash_mode: RealKvHashMode,
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) -> None:
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if not _is_sweep_tag(self.kernel_kind):
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raise NotImplementedError(
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f"kv-canary: launch_sweep not supported on non-sweep endpoint {self.kernel_kind.name}"
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)
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launch_canary_verify_kernel(
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context=self._make_verify_or_write_context(
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violation_log=violation_log,
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real_kv_hash_mode=real_kv_hash_mode,
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),
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plan=verify_plan,
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check_verify_expected_token=False,
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)
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def _make_verify_or_write_context(
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self,
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*,
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violation_log: ViolationLog,
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real_kv_hash_mode: RealKvHashMode,
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) -> VerifyOrWriteContext:
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return VerifyOrWriteContext(
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canary_buf=self.canary_buf,
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kernel_kind=self.kernel_kind,
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violation_ring=violation_log.violation_ring,
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violation_write_index=violation_log.violation_write_index,
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slot_run_counter=self.slot_run_counter_view,
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kernel_run_counter=self.kernel_run_counter_view,
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real_kv_sources=self.real_kv_sources,
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real_kv_hash_mode=real_kv_hash_mode,
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enable_chain_position_assert=self.enable_chain_position_assert,
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)
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def _is_sweep_tag(tag: CanaryLaunchTag) -> bool:
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return tag in (
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CanaryLaunchTag.SWEEP_K_FULL,
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CanaryLaunchTag.SWEEP_V_FULL,
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CanaryLaunchTag.SWEEP_K_SWA,
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CanaryLaunchTag.SWEEP_V_SWA,
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)
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def _resolve_canary_buf(
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*,
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slot: str,
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half: str,
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group: CanaryBufferGroup,
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) -> torch.Tensor:
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if half == "K":
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if slot == "HEAD":
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return group.k_head
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return group.k_tail
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if slot == "HEAD":
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return group.v_head
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return group.v_tail
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def _resolve_real_kv_sources(
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*,
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half: str,
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group: CanaryBufferGroup,
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) -> tuple[RealKvSource, ...]:
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if half == "K":
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return group.real_kv_sources_k
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return group.real_kv_sources_v
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_FULL_LAYOUT: tuple[tuple[CanaryLaunchTag, str, str], ...] = (
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(CanaryLaunchTag.HEAD_K_FULL, "HEAD", "K"),
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(CanaryLaunchTag.HEAD_V_FULL, "HEAD", "V"),
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(CanaryLaunchTag.TAIL_K_FULL, "TAIL", "K"),
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(CanaryLaunchTag.TAIL_V_FULL, "TAIL", "V"),
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(CanaryLaunchTag.SWEEP_K_FULL, "SWEEP", "K"),
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(CanaryLaunchTag.SWEEP_V_FULL, "SWEEP", "V"),
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)
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_SWA_LAYOUT: tuple[tuple[CanaryLaunchTag, str, str], ...] = (
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(CanaryLaunchTag.HEAD_K_SWA, "HEAD", "K"),
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(CanaryLaunchTag.HEAD_V_SWA, "HEAD", "V"),
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(CanaryLaunchTag.TAIL_K_SWA, "TAIL", "K"),
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(CanaryLaunchTag.TAIL_V_SWA, "TAIL", "V"),
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(CanaryLaunchTag.SWEEP_K_SWA, "SWEEP", "K"),
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(CanaryLaunchTag.SWEEP_V_SWA, "SWEEP", "V"),
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)
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def build_endpoints_from_group(
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*,
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group: CanaryBufferGroup,
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device_state: CanaryDeviceState,
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) -> tuple[CanaryEndpoint, ...]:
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"""Enumerate (slot × half) endpoints for one CanaryBufferGroup."""
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pool_kind = group.kind
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layout = _FULL_LAYOUT if pool_kind is PoolKind.FULL else _SWA_LAYOUT
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endpoints: list[CanaryEndpoint] = []
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for tag, slot, half in layout:
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if half == "V" and not group.has_v_half:
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continue
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buf_slot = "TAIL" if slot == "SWEEP" else slot
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canary_buf = _resolve_canary_buf(slot=buf_slot, half=half, group=group)
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real_kv_sources = (
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() if slot == "HEAD" else _resolve_real_kv_sources(half=half, group=group)
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)
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lut = group.swa_index_lut if pool_kind is PoolKind.SWA else None
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slot_view = device_state.slot_run_counters[tag.value : tag.value + 1]
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kernel_view = device_state.kernel_run_counters[tag.value : tag.value + 1]
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endpoints.append(
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CanaryEndpoint(
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kernel_kind=tag,
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canary_buf=canary_buf,
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full_to_swa_index_mapping=lut,
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real_kv_sources=real_kv_sources,
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slot_run_counter_view=slot_view,
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kernel_run_counter_view=kernel_view,
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enable_chain_position_assert=device_state.enable_chain_position_assert,
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)
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)
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return tuple(endpoints)
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