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Select registered backend for functional autograd A2A test #99

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8 changes: 7 additions & 1 deletion test/distributed/test_functional_differentials.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,12 @@
devices += [acc.type]


def compile_backend_for_device(device):
device_type = torch.device(device).type
registered = torch.compiler.list_backends()
return device_type if device_type in registered else "inductor"


def with_comms(func=None):
if func is None:
return partial(with_comms)
Expand Down Expand Up @@ -900,7 +906,7 @@ def test_all_to_all_single_autograd_compile(self):
output_split_sizes = [input_tensor.shape[0] // group_size] * group_size
input_split_sizes = output_split_sizes

@torch.compile(fullgraph=True)
@torch.compile(backend=compile_backend_for_device(self.device), fullgraph=True)
def compiled_fn(tensor):
output = torch.ops._c10d_functional_autograd.all_to_all_single(
tensor,
Expand Down