code: def single_dim_flip(x, dim):
      dim = x.dim() + dim if dim < 0 else dim
      indices = torch.arange(
          x.size(dim) - 1,
          -1,
          -1,
          dtype=torch.long,
          device=x.device,
          requires_grad=x.requires_grad,
      )
      # TODO: do we need requires_grad???
      return x.index_select(dim, indices)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling a global function with example usage: single_dim_flip(x, dim) and returns: x