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Do the "preprocessing" right for PyTorch compiled grouped GEMM #513

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Merged
merged 1 commit into from
Oct 6, 2025
+11 −10
Merged

Do the "preprocessing" right for PyTorch compiled grouped GEMM #513

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21 changes: 11 additions & 10 deletions tritonbench/operators/grouped_gemm/operator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -108,17 +108,18 @@ def _inner():
# TODO: Does not work on hip
@register_benchmark(enabled=is_cuda())
def preprocessed_pt2_triton_grouped_mm(self, group_A, group_B):
def _inner():
torch._dynamo.reset()
torch._dynamo.reset()

with inductor_config.patch(
max_autotune=True,
max_autotune_gemm_backends="TRITON",
autotune_fallback_to_aten=False,
):
A_packed, B_shared, offs = self.list_input_to_jagged(group_A, group_B)
compiled = torch.compile(torch._grouped_mm, dynamic=False)
return compiled(A_packed, B_shared, offs=offs, bias=None)
with inductor_config.patch(
max_autotune=True,
max_autotune_gemm_backends="TRITON",
autotune_fallback_to_aten=False,
):
A_packed, B_shared, offs = self.list_input_to_jagged(group_A, group_B)
compiled = torch.compile(torch._grouped_mm, dynamic=False)

def _inner():
return compiled(A_packed, B_shared, offs=offs, bias=None)

return _inner

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