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tests/unittests/bases/test_ddp.py

@@ -84,6 +84,7 @@ def _test_ddp_gather_autograd_same_shape(rank: int, worldsize: int = NUM_PROCESS
  This function tests that ``torchmetrics.utilities.distributed.gather_all_tensors`` works as intended in preserving the local rank's autograd graph upon the gather. The function compares derivative values obtained with the local rank results from the ``gather_all_tensors`` output and the original local rank tensor. This test only considers tensors of the same shape across different ranks.
 
  Note that this test only works for torch>=2.0.
+
  """
  tensor = torch.ones(50, requires_grad=True)
  result = gather_all_tensors(tensor)
@@ -108,6 +109,7 @@ def _test_ddp_gather_autograd_different_shape(rank: int, worldsize: int = NUM_PR
  This function tests that ``torchmetrics.utilities.distributed.gather_all_tensors`` works as intended in preserving the local rank's autograd graph upon the gather. The function compares derivative values obtained with the local rank results from the ``gather_all_tensors`` output and the original local rank tensor. This test considers tensors of different shapes across different ranks.
 
  Note that this test only works for torch>=2.0.
+
  """
  tensor = torch.ones(rank + 1, 2 - rank, requires_grad=True)
  result = gather_all_tensors(tensor)