class_docstr: Flattens the input without affecting the batch size.
  
  When you use this layer as the first layer of a model, you need to provide the argument
  input_shape (a shape tuple, does not include the batch dimension).
  
  # Arguments
  input_shape: A shape tuple, not including batch.
  name: String to set the name of the layer.
        If not specified, its name will by default to be a generated string.
  
  >>> flatten = Flatten(input_shape=(3, 10, 2))
  creating: createZooKerasFlatten
class_docstr_tok: ["Flattens","the","input","without","affecting","the","batch","size",".","When","you","use","this","layer","as","the","first","layer","of","a","model",",","you","need","to","provide","the","argument","input_shape","(","a","shape","tuple",",","does","not","include","the","batch","dimension",")",".","#","Arguments","input_shape",":","A","shape","tuple",",","not","including","batch",".","name",":","String","to","set","the","name","of","the","layer",".","If","not","specified",",","its","name","will","by","default","to","be","a","generated","string",".",">",">",">","flatten","=","Flatten","(","input_shape=","(","3",",","10",",","2",")",")","creating",":","createZooKerasFlatten"]
code: def __init__(self, input_shape=None, **kwargs):
      super(Flatten, self).__init__(
          None, list(input_shape) if input_shape else None, **kwargs
      )
  
imports: import sys
  from bigdl.util.common import INTMIN
  from ..engine.topology import ZooKerasLayer
label_desc: Use image node_id 1 to create a new Flatten object from inherited base classes: ZooKerasLayer with example: obj = Flatten(input_shape)