Apply isort and black reformatting

Signed-off-by: ashvinnihalani <[email protected]>

nemo/collections/nlp/modules/common/megatron/fused_bias_dropout_add.py

@@ -47,13 +47,13 @@ def bias_dropout_add_fused_train_(
     # type: (Tensor, Tensor, Tensor, float) -> Tensor
     return bias_dropout_add(x, bias, residual, prob, True)
 
+
 @torch.jit.script
-def dropout_add_fused_train_(
-    x: torch.Tensor, bias: torch.Tensor, residual: torch.Tensor, prob: float
-) -> torch.Tensor:
+def dropout_add_fused_train_(x: torch.Tensor, bias: torch.Tensor, residual: torch.Tensor, prob: float) -> torch.Tensor:
     # type: (Tensor, None, Tensor, float) -> Tensor
     return dropout_add(x, bias, residual, prob, True)
 
+
 def bias_dropout_add_fused_train(x, bias, residual, prob):
     # re-enable torch grad to enable fused optimization.
     with torch.enable_grad():