class_docstr: Currently we only use it to infer caffe shape, we use tensorflow engine
  to infer tensorflow op shapes, since tensorflow has too many ops.
class_docstr_tok: ["Currently","we","only","use","it","to","infer","caffe","shape",",","we","use","tensorflow","engine","to","infer","tensorflow","op","shapes",",","since","tensorflow","has","too","many","ops","."]
code: def infer_shape_channel_shuffle(self, op):
      output_shape = self._output_shape_cache[op.input[0]]
      self.add_output_shape(op, [output_shape])
  
imports: import math
  import numpy
  import six
  from transform.transformer import Transformer
  from transform.base_converter import DataFormat
  from transform.base_converter import MaceOp
  from transform.base_converter import MaceKeyword
  from transform.base_converter import ConverterUtil
  from utils.util import mace_check
label_desc: Use image node_id 12 for calling the ShapeInference obj's underlying member method code with example usage: obj.infer_shape_channel_shuffle(op) without return types