class_docstr: Function that splits multiple arrays along the specified axis.
code: def backward(self, indexes, grad_outputs):
      dtype = self.inputs[0].dtype
      grads = [
          self._xp.zeros(shape, dtype=dtype) if gy is None else gy
          for gy, shape in six.moves.zip(grad_outputs, self._shapes)
      ]
      return (chainer.functions.concat(grads, self.axis),)
  
imports: import numpy
  import six
  import chainer
  from chainer import backend
  from chainer.backends import intel64
  from chainer import function_node
  from chainer.utils import collections_abc
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 8 for calling the SplitAxis obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: chainer