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80692f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | """SOTA reference for last-dim softmax.
Preference order:
1. liger-kernel's Triton softmax (LigerSoftmaxFunction) — fused, fp32-acc
2. torch.compile(torch.softmax) — Inductor generates a Triton kernel that
is competitive on bandwidth-bound reductions
Agents are FORBIDDEN from importing either of these in solution.py (see
problem.yaml.forbidden). This file is only the benchmark's reference line.
"""
from __future__ import annotations
import torch
_compiled_softmax = None
def _liger_softmax(x: torch.Tensor) -> torch.Tensor | None:
try:
from liger_kernel.ops.softmax import LigerSoftmaxFunction
return LigerSoftmaxFunction.apply(x)
except Exception:
return None
def _compiled(x: torch.Tensor) -> torch.Tensor:
global _compiled_softmax
if _compiled_softmax is None:
_compiled_softmax = torch.compile(
lambda t: torch.softmax(t, dim=-1),
mode="reduce-overhead",
)
return _compiled_softmax(x)
def sota_forward(x: torch.Tensor) -> torch.Tensor:
"""Best-available softmax reference. x: (batch, vocab) fp32."""
out = _liger_softmax(x)
if out is not None:
return out
return _compiled(x)
def is_available() -> bool:
return True # torch.compile fallback is always available
|