class_docstr: Transportation of :func:`torch.Tensor.as_strided`.
  While :func:`torch.Tensor.as_strided` does not support nagative strides,
  this implementation does support it.
class_docstr_tok: ["Transportation","of",":","func",":","`","torch.Tensor.as_strided","`",".","While",":","func",":","`","torch.Tensor.as_strided","`","does","not","support","nagative","strides",",","this","implementation","does","support","it","."]
code: def __init__(self, shape, strides, storage_offset=None):
      self.shape = shape
      self.strides = strides
      self.storage_offset = storage_offset
      self.input_geometry = None
  
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 AsStrided object from inherited base classes: function_node with example: obj = AsStrided(shape, strides, storage_offset)