code: def clone_inputs(bottleneck, x, dy=None):
      with torch.no_grad():
          x = x.clone()
          x.grad = None
          x.requires_grad = True
          if dy is None:
              y = bottleneck(x)
              dy = torch.randn_like(y) / 1e2
              torch.distributed.broadcast(dy, 0)
      return x, dy
  
imports: import unittest
  import torch
  from torch.testing._internal import common_utils
  from apex.transformer.testing.distributed_test_base import NcclDistributedTestBase
label_desc: Use image node_id 7 for calling a global function with example usage: clone_inputs(bottleneck, x, dy) and returns: x,  dy