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[core] Unify output_tokens_buf in FutureMap (#25922)

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This commit is contained in:
Liangsheng Yin
2026-05-21 13:56:44 -07:00
committed by GitHub
parent c9a0e55eb5
commit 44ec2ee18d
2 changed files with 13 additions and 15 deletions
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python/sglang/srt/managers/overlap_utils.py
+12 -14
View File
@@ -55,16 +55,17 @@ class FutureMap:
self.spec_algo = spec_algo
self.req_pool_size = req_to_token_pool.req_to_token.shape[0]
if self.spec_algo.is_none():
self.token_ids_buf = torch.empty(
(self.req_pool_size,), dtype=torch.int64, device=self.device
)
else:
# Forward-only token slot, eager (int64 fixed). Both modes use it:
# non-spec stashes next_token_ids; spec stashes bonus_tokens.
self.output_tokens_buf = torch.empty(
(self.req_pool_size,), dtype=torch.int64, device=self.device
)
if not self.spec_algo.is_none():
# Schedule-consumed buf, eager fixed dtype.
self.new_seq_lens_buf = torch.empty(
(self.req_pool_size,), dtype=torch.int64, device=self.device
)
# Forward-only bufs are lazy (worker-dependent shape).
# Remaining forward-only bufs are lazy (worker-dependent shape).
self._forward_buf_initialized = False
# Fences schedule-consumed buf fields; lazy device.Event() (cuda/hip-agnostic).
@@ -85,9 +86,6 @@ class FutureMap:
dtype=topk_index0.dtype,
device=self.device,
)
self.bonus_tokens_buf = torch.empty(
(self.req_pool_size,), dtype=torch.int64, device=self.device
)
if spec_need_hidden_states():
hidden_states0 = draft_input.hidden_states[0]
self.hidden_states_buf = torch.empty(
@@ -98,7 +96,7 @@ class FutureMap:
def resolve_future(self, batch: ScheduleBatch):
if self.spec_algo.is_none():
_resolve_future_token_ids(batch.input_ids, self.token_ids_buf)
_resolve_future_token_ids(batch.input_ids, self.output_tokens_buf)
else:
draft_input: EagleDraftInput = batch.spec_info
if draft_input is None:
@@ -111,7 +109,7 @@ class FutureMap:
indices.record_stream(torch.get_device_module(self.device).current_stream())
draft_input.topk_p = self.topk_p_buf[indices]
draft_input.topk_index = self.topk_index_buf[indices]
draft_input.bonus_tokens = self.bonus_tokens_buf[indices]
draft_input.bonus_tokens = self.output_tokens_buf[indices]
draft_input.new_seq_lens = self.new_seq_lens_buf[indices]
# Resolve seq_lens placeholder (-indices) to the post-verify view.
batch.seq_lens = draft_input.new_seq_lens
@@ -157,14 +155,14 @@ class FutureMap:
if self.spec_algo.is_none():
# next_token_ids is int32; buf is int64. Advanced indexing requires
# an explicit cast.
self.token_ids_buf[indices] = payload.to(torch.int64)
self.output_tokens_buf[indices] = payload.to(torch.int64)
return
draft_input: EagleDraftInput = payload
if not self._forward_buf_initialized:
self._lazy_init_forward_buf(draft_input)
self.bonus_tokens_buf[indices] = draft_input.bonus_tokens.to(
self.bonus_tokens_buf.dtype
self.output_tokens_buf[indices] = draft_input.bonus_tokens.to(
self.output_tokens_buf.dtype
)
self.topk_p_buf[indices] = draft_input.topk_p.to(self.topk_p_buf.dtype)
self.topk_index_buf[indices] = draft_input.topk_index.to(
python/sglang/srt/managers/scheduler.py
+1 -1
View File
@@ -2889,7 +2889,7 @@ class Scheduler(
batch_result.future_indices = future_indices
# Placeholder for next iter's resolve_future to look up the
# real token from token_ids_buf via the negated indices.
# real token from output_tokens_buf via the negated indices.
batch.input_ids = -future_indices.indices
if batch.is_spec_v2: