class_docstr: Backward of :func:`~chainer.functions.as_strided`.
      
class_docstr_tok: ["Backward","of",":","func",":","`","~chainer.functions.as_strided","`","."]
code: def __init__(self, input_geometry, shape, strides, storage_offset):
      self.input_geometry = input_geometry
      self.shape = shape
      self.strides = strides
      self.storage_offset = storage_offset
  
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 1 to create a new AsStridedGrad object from inherited base classes: function_node with example: obj = AsStridedGrad(input_geometry, shape, strides, storage_offset)