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

60 lines
2.1 KiB
Python

from __future__ import annotations
from typing import TYPE_CHECKING, List
import torch
from sglang.srt.kv_canary.perturb.next_token_swap import maybe_perturb_swap_next_tokens
from sglang.srt.kv_canary.token_oracle.oracle import TokenOracle
from sglang.srt.kv_canary.token_oracle.oracle_manager import (
TokenOracleManager,
select_generalized_req_ids,
)
from sglang.srt.layers.sampler import Sampler, register_sampler_backend
if TYPE_CHECKING:
from sglang.srt.layers.logits_processor import LogitsProcessorOutput
from sglang.srt.sampling.sampling_batch_info import SamplingBatchInfo
def install_oracle_sampler(*, oracle: TokenOracle) -> TokenOracleManager:
manager = TokenOracleManager(oracle=oracle)
register_sampler_backend(
"token_oracle",
lambda: _OracleSampler(token_oracle_manager=manager),
)
return manager
class _OracleSampler(Sampler):
def __init__(self, *, token_oracle_manager: TokenOracleManager) -> None:
super().__init__()
self._token_oracle_manager = token_oracle_manager
def forward(
self,
logits_output: LogitsProcessorOutput,
sampling_info: SamplingBatchInfo,
return_logprob: bool,
top_logprobs_nums: List[int],
token_ids_logprobs: List[List[int]],
positions: torch.Tensor,
) -> torch.Tensor:
vanilla_req_ids = sampling_info.rids_int
if vanilla_req_ids is None:
raise RuntimeError(
"_OracleSampler.forward: generalized_req_id source tensor is None; "
"token oracle requires a per-forward generalized_req_id source tensor "
"(set in ForwardBatch.init_new when SGLANG_KV_CANARY_ENABLE_TOKEN_ORACLE=1)"
)
batch_next_token_ids = self._token_oracle_manager.sample_next_tokens(
generalized_req_ids=select_generalized_req_ids(
vanilla_req_ids=vanilla_req_ids,
bootstrap_room_ids_int=sampling_info.bootstrap_room_ids_int,
),
logits_positions=positions,
)
batch_next_token_ids = maybe_perturb_swap_next_tokens(batch_next_token_ids)
return batch_next_token_ids