code: def _NCHWToNHWC(self, np_value):
      assert len(np_value.shape) >= 3
      np_dim = list(range(np_value.ndim))
      # move the second dimension to the last
      np_dim_new = (
          list(np_dim[0:1]) + list(np_dim[2:]) + list(np_dim[1:2])
      )
      return np.transpose(np_value, np_dim_new)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj._NCHWToNHWC(np_value) and returns: np