code: def __init__(self, x_xp, x_shape, x_dtype, axis):
      self._x_xp = x_xp
      self._x_shape = x_shape
      self._x_dtype = x_dtype
      self.axis = axis
  
imports: import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  import chainer.functions
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 1 to create a new LogSoftmaxGrad object from inherited base classes: function_node with example: obj = LogSoftmaxGrad(x_xp, x_shape, x_dtype, axis)