class_docstr: Backward of :func:`~chainer.functions.as_strided`.
      
class_docstr_tok: ["Backward","of",":","func",":","`","~chainer.functions.as_strided","`","."]
code: def backward(self, target_input_indexes, grad_outputs):
      raise NotImplementedError
  
imports: import numpy
  import six
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the AsStridedGrad obj's underlying member method code with example usage: obj.backward(target_input_indexes, grad_outputs) without return types