Reland "[perf][spec decoding] Skip full-vocab softmax in EAGLE draft when topk == 1 (#26235)" (#26397)
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@@ -30,12 +30,15 @@ from sglang.srt.model_executor.input_buffers import ForwardInputBuffers
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from sglang.srt.speculative.eagle_info import EagleDraftExtendInput
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from sglang.srt.speculative.spec_utils import fast_topk
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from sglang.srt.utils import (
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is_hip,
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require_attn_tp_gather,
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require_gathered_buffer,
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require_mlp_sync,
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require_mlp_tp_gather,
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)
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_is_hip = is_hip()
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if TYPE_CHECKING:
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from sglang.srt.speculative.eagle_worker import EAGLEWorker
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@@ -401,6 +404,15 @@ class EAGLEDraftExtendCudaGraphRunner:
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forward_batch.positions,
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forward_batch,
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)
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# ROCm's argmax tie-breaks differently from CUDA's softmax+max
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# path on FP8 logits, which corrupts MTP draft selection on AMD.
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# Keep the fastpath CUDA-only.
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if self.topk == 1 and not _is_hip:
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ret.topk_index = torch.argmax(
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ret.next_token_logits, dim=-1, keepdim=True
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)
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ret.topk_p = torch.ones_like(ret.topk_index, dtype=torch.float32)
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else:
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probs = torch.softmax(ret.next_token_logits, dim=-1)
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ret.topk_p, ret.topk_index = fast_topk(probs, self.topk, dim=-1)
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@@ -487,6 +487,17 @@ class EagleDraftWorker(BaseDraftWorker):
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).logits_output
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maybe_detect_nan(logits_output.next_token_logits, f"draft_forward step {i}")
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maybe_detect_inf(logits_output.next_token_logits, f"draft_forward step {i}")
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if self.topk == 1 and not _is_hip:
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# topk=1 → degenerate single-path tree; `topk_p` is unused
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# downstream, so skip softmax and just argmax over logits.
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# Gated to CUDA: on ROCm the argmax tie-break diverges from
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# the softmax+max path on FP8 logits and corrupts MTP draft
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# selection (DSV3.2 MTP GSM8K, see #26358).
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topk_index = torch.argmax(
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logits_output.next_token_logits, dim=-1, keepdim=True
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)
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topk_p = torch.ones_like(topk_index, dtype=torch.float32)
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else:
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probs = torch.softmax(logits_output.next_token_logits, dim=-1)
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topk_p, topk_index = fast_topk(probs, self.topk, dim=-1)
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maybe_detect_oob(
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@@ -660,6 +671,14 @@ class EagleDraftWorker(BaseDraftWorker):
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draft_logits_output.hidden_states = draft_logits_output.hidden_states[
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select_index
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]
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if self.topk == 1 and not _is_hip:
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# Gated to CUDA: see #26358 — ROCm's argmax tie-break corrupts
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# MTP draft selection on FP8 logits.
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ret_topk_index = torch.argmax(
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draft_logits_output.next_token_logits, dim=-1, keepdim=True
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)
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ret_topk_p = torch.ones_like(ret_topk_index, dtype=torch.float32)
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else:
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probs = torch.softmax(draft_logits_output.next_token_logits, dim=-1)
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ret_topk_p, ret_topk_index = fast_topk(probs, self.topk, dim=-1)
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ret_hidden_states = draft_logits_output.hidden_states
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