Reland "[perf][spec decoding] Skip full-vocab softmax in EAGLE draft when topk == 1 (#26235)" (#26397)

This commit is contained in:
Qiaolin Yu
2026-05-26 14:14:48 -07:00
committed by GitHub
parent 499eecce22
commit dd6f073377
2 changed files with 37 additions and 6 deletions
@@ -30,12 +30,15 @@ from sglang.srt.model_executor.input_buffers import ForwardInputBuffers
from sglang.srt.speculative.eagle_info import EagleDraftExtendInput
from sglang.srt.speculative.spec_utils import fast_topk
from sglang.srt.utils import (
is_hip,
require_attn_tp_gather,
require_gathered_buffer,
require_mlp_sync,
require_mlp_tp_gather,
)
_is_hip = is_hip()
if TYPE_CHECKING:
from sglang.srt.speculative.eagle_worker import EAGLEWorker
@@ -401,6 +404,15 @@ class EAGLEDraftExtendCudaGraphRunner:
forward_batch.positions,
forward_batch,
)
# ROCm's argmax tie-breaks differently from CUDA's softmax+max
# path on FP8 logits, which corrupts MTP draft selection on AMD.
# Keep the fastpath CUDA-only.
if self.topk == 1 and not _is_hip:
ret.topk_index = torch.argmax(
ret.next_token_logits, dim=-1, keepdim=True
)
ret.topk_p = torch.ones_like(ret.topk_index, dtype=torch.float32)
else:
probs = torch.softmax(ret.next_token_logits, dim=-1)
ret.topk_p, ret.topk_index = fast_topk(probs, self.topk, dim=-1)
@@ -487,6 +487,17 @@ class EagleDraftWorker(BaseDraftWorker):
).logits_output
maybe_detect_nan(logits_output.next_token_logits, f"draft_forward step {i}")
maybe_detect_inf(logits_output.next_token_logits, f"draft_forward step {i}")
if self.topk == 1 and not _is_hip:
# topk=1 → degenerate single-path tree; `topk_p` is unused
# downstream, so skip softmax and just argmax over logits.
# Gated to CUDA: on ROCm the argmax tie-break diverges from
# the softmax+max path on FP8 logits and corrupts MTP draft
# selection (DSV3.2 MTP GSM8K, see #26358).
topk_index = torch.argmax(
logits_output.next_token_logits, dim=-1, keepdim=True
)
topk_p = torch.ones_like(topk_index, dtype=torch.float32)
else:
probs = torch.softmax(logits_output.next_token_logits, dim=-1)
topk_p, topk_index = fast_topk(probs, self.topk, dim=-1)
maybe_detect_oob(
@@ -660,6 +671,14 @@ class EagleDraftWorker(BaseDraftWorker):
draft_logits_output.hidden_states = draft_logits_output.hidden_states[
select_index
]
if self.topk == 1 and not _is_hip:
# Gated to CUDA: see #26358 — ROCm's argmax tie-break corrupts
# MTP draft selection on FP8 logits.
ret_topk_index = torch.argmax(
draft_logits_output.next_token_logits, dim=-1, keepdim=True
)
ret_topk_p = torch.ones_like(ret_topk_index, dtype=torch.float32)
else:
probs = torch.softmax(draft_logits_output.next_token_logits, dim=-1)
ret_topk_p, ret_topk_index = fast_topk(probs, self.topk, dim=-1)
ret_hidden_states = draft_logits_output.hidden_states