class_docstr: Permute the dimensions of an array.
code: def backward(self, indexes, grad_outputs):
      inv_axes = self.axes
      if inv_axes:
          axes_len = len(inv_axes)
          inv_axes = tuple(
              numpy.argsort([ax % axes_len for ax in inv_axes])
          )
      return Transpose(inv_axes).apply(grad_outputs)
  
file_path: chainer/chainer/functions/array/transpose.py
imports: import numpy
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 6 for calling the Transpose obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: Transpose