[srt] Reuse batched Mamba boundary mask (#33477)
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@@ -2073,6 +2073,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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mamba_track_indices: torch.Tensor = None # shape: [b], int64
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mamba_track_mask: torch.Tensor = None # shape: [b], bool
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mamba_track_seqlens: torch.Tensor = None # shape: [b], int64
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mamba_track_mask_cpu: Optional[List[bool]] = None # shape: [b]
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mamba_track_mask_next_cpu: Optional[List[bool]] = None # shape: [b]
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mamba_decode_batch_idx_cpu: Optional[List[int]] = None # shape: [b]
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# Lazy + spec: this iteration's per-req scatter positions
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# (see mamba_lazy_spec_prepare).
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mamba_lazy_spec_track_positions_cpu: Optional[List[int]] = None # shape: [b]
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@@ -3013,6 +3016,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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# Spec decoding owns decode preparation (allocation, seq-lens bookkeeping).
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from sglang.srt.speculative.spec_utils import spec_prepare_for_decode
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self.mamba_track_mask_cpu = None
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self.mamba_track_mask_next_cpu = None
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self.mamba_decode_batch_idx_cpu = None
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spec_prepare_for_decode(self)
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return
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@@ -3063,11 +3069,23 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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self.mamba_lazy_prealloc_at_boundary(mamba_track_interval)
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set_mamba_track_indices_from_reqs(self)
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track_remainders_cpu = self.seq_lens_cpu % mamba_track_interval
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track_mask_cpu = track_remainders_cpu == 0
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self.mamba_track_mask_cpu = track_mask_cpu.tolist()
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self.mamba_track_mask_next_cpu = (
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(track_remainders_cpu == mamba_track_interval - 1).tolist()
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if self.enable_overlap
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else None
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)
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# ScheduleBatch.copy() snapshots the list of requests, but the Req
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# objects remain shared. The next overlapped decode can therefore
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# advance their counters before this batch's result is processed.
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self.mamba_decode_batch_idx_cpu = [
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req.decode_batch_idx for req in self.reqs
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]
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# async H2D
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self.mamba_track_mask = (
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(self.seq_lens_cpu % mamba_track_interval == 0)
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.pin_memory()
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.to(device=self.device, non_blocking=True)
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self.mamba_track_mask = track_mask_cpu.pin_memory().to(
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device=self.device, non_blocking=True
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)
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def filter_batch(
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@@ -3129,6 +3147,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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self.mamba_track_indices = None
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self.mamba_track_mask = None
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self.mamba_track_seqlens = None
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self.mamba_track_mask_cpu = None
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self.mamba_track_mask_next_cpu = None
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self.mamba_decode_batch_idx_cpu = None
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self.mamba_lazy_spec_track_positions_cpu = None
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self.mamba_cow_src_indices = None
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self.mamba_cow_dst_indices = None
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@@ -3189,6 +3210,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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self.mamba_track_indices = None
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self.mamba_track_mask = None
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self.mamba_track_seqlens = None
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self.mamba_track_mask_cpu = None
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self.mamba_track_mask_next_cpu = None
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self.mamba_decode_batch_idx_cpu = None
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self.mamba_lazy_spec_track_positions_cpu = None
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if self.return_logprob and other.return_logprob:
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self.top_logprobs_nums = self.top_logprobs_nums + other.top_logprobs_nums
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@@ -3247,6 +3271,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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mamba_track_indices=self.mamba_track_indices,
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mamba_track_mask=self.mamba_track_mask,
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mamba_track_seqlens=self.mamba_track_seqlens,
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mamba_track_mask_cpu=self.mamba_track_mask_cpu,
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mamba_track_mask_next_cpu=self.mamba_track_mask_next_cpu,
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mamba_decode_batch_idx_cpu=self.mamba_decode_batch_idx_cpu,
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mamba_lazy_spec_track_positions_cpu=self.mamba_lazy_spec_track_positions_cpu,
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dp_cooperation_info=self.dp_cooperation_info,
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prefill_stats=self.prefill_stats,
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@@ -1015,9 +1015,28 @@ class SchedulerBatchResultProcessor:
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i: int,
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logits_output: LogitsProcessorOutput,
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):
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known_mamba_boundary = None
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if batch.mamba_track_mask_cpu is not None:
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lookahead = req.decode_batch_idx - batch.mamba_decode_batch_idx_cpu[i]
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assert lookahead in (0, 1), (
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f"mamba result lookahead={lookahead} for req {req.rid}; "
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"overlap advanced more than one decode batch"
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)
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if lookahead == 0:
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known_mamba_boundary = bool(batch.mamba_track_mask_cpu[i])
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else:
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known_mamba_boundary = bool(batch.mamba_track_mask_next_cpu[i])
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# Called here (after update_finish_state) so req.finished() is valid
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# for mamba_lazy_post_decode_at_boundary inside.
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self._mamba_prefix_cache_update(req, batch, result, i)
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if known_mamba_boundary is None or known_mamba_boundary:
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self._mamba_prefix_cache_update(
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req,
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batch,
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result,
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i,
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known_boundary=known_mamba_boundary is True,
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)
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if (
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get_disagg().disaggregation_decode_enable_offload_kvcache
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@@ -1078,6 +1097,7 @@ class SchedulerBatchResultProcessor:
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batch: ScheduleBatch,
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result: GenerationBatchResult,
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i: int,
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known_boundary: bool = False,
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) -> None:
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"""Update mamba track state at ping-pong boundaries.
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@@ -1090,9 +1110,15 @@ class SchedulerBatchResultProcessor:
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return
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lazy = get_server_args().enable_mamba_extra_buffer_lazy()
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at_boundary, track_seqlen = self._mamba_check_track_boundary(
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req, batch, result, i
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)
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if known_boundary:
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self._mamba_assert_committed_len_lookahead(req)
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track_seqlen = req.kv_committed_len
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assert track_seqlen % get_exec().mamba.mamba_track_interval == 0
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at_boundary = True
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else:
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at_boundary, track_seqlen = self._mamba_check_track_boundary(
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req, batch, result, i
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)
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if lazy and not batch.spec_algorithm.is_none():
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# For spec, at_boundary means this step actually crossed an interval.
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@@ -1169,6 +1195,20 @@ class SchedulerBatchResultProcessor:
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# keep holds the track_seqlen state either way.
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req.mamba_last_track_seqlen = track_seqlen
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@staticmethod
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def _mamba_assert_committed_len_lookahead(req: Req) -> None:
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"""Alarm if overlap advances beyond the scheduler's modeled window."""
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assert req.output_ids, (
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"mamba track boundary reached before a decode token was appended "
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f"(req {req.rid}); output_ids is empty"
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)
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token_seq_len = len(req.origin_input_ids) + len(req.output_ids) - 1
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assert (req.kv_committed_len - token_seq_len) in (0, 1), (
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f"mamba track boundary: kv_committed_len={req.kv_committed_len} "
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f"leads seq_len={token_seq_len} by more than one (req {req.rid}); "
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"overlap lookahead wider than assumed"
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)
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def _mamba_check_track_boundary(self, req, batch, result, i):
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"""Check if this decode step crosses a mamba track interval boundary.
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@@ -1186,6 +1226,7 @@ class SchedulerBatchResultProcessor:
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interval = get_exec().mamba.mamba_track_interval
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if batch.spec_algorithm.is_none():
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self._mamba_assert_committed_len_lookahead(req)
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if req.kv_committed_len % interval == 0:
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return True, req.kv_committed_len
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elif result.num_correct_drafts_per_req_cpu is not None:
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