class_docstr: Fuses 3 operators reshape->transpose->reshape which is equivalent to
  pytorch's pixel_shuffle layer
class_docstr_tok: ["Fuses","3","operators","reshape-",">","transpose-",">","reshape","which","is","equivalent","to","pytorch","'s","pixel_shuffle","layer"]
code: def __init__(self):  # type: () -> None
      super(PixelShuffleFuser, self).__init__(3)
      self.num_added = 0
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  from typing import Sequence, Text, Dict, List
  import numpy
  from onnx import TensorProto
  from ._graph import Graph, Node
label_desc: Use image node_id 1 to create a new PixelShuffleFuser object from inherited base classes: NodesFuser with example: obj = PixelShuffleFuser()