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Disable donated buffer when benchmarking layer_norm with backwards #88

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8 changes: 8 additions & 0 deletions tritonbench/operators/layer_norm/operator.py
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,14 @@ def torch_layer_norm(self, *args):

@register_benchmark()
def torch_compile_layer_norm(self, *args):
# We need to run backward multiple times for proper benchmarking
# so donated buffer have to be disabled
if self.mode == Mode.BWD or self.mode == Mode.FWD_BWD:
import torch._functorch.config

torch._functorch.config.donated_buffer = False
import torch

@torch.compile
def inner(*args):
return F.layer_norm(*args)
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