code: def convert_and_reshape(x, dataset_obj):
      return (
          x.cpu()
          .data.numpy()
          .reshape([-1] + dataset_obj.data_dims)
          .transpose(0, 2, 3, 1)
      )
  
imports: import matplotlib
  import matplotlib.pyplot
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.autograd import Variable
  from torch.nn import Linear
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: convert_and_reshape(x, dataset_obj) and returns: x