code: def apply_to_different_bottleneck(gt, bottleneck):
      with torch.no_grad():
          x, _, dy, _, _ = gt
          x, dy = clone_inputs(bottleneck, x, dy)
      return fprop_and_bprop(bottleneck, 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 11 for calling a global function with example usage: apply_to_different_bottleneck(gt, bottleneck) and returns: fprop_and_bprop