class_docstr: Use a mask value to skip timesteps for a sequence.
  Masks a sequence by using a mask value to skip timesteps.
  
  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
  mask_value: Float, mask value. For each timestep in the input (the second dimension),
              if all values in the input at that timestep are equal to 'mask_value',
              then the timestep will masked (skipped) in all downstream layers.
  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.
  
  >>> masking = Masking(0.3, input_shape=(6, 8))
  creating: createZooKerasMasking
class_docstr_tok: ["Use","a","mask","value","to","skip","timesteps","for","a","sequence",".","Masks","a","sequence","by","using","a","mask","value","to","skip","timesteps",".","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","mask_value",":","Float",",","mask","value",".","For","each","timestep","in","the","input","(","the","second","dimension",")",",","if","all","values","in","the","input","at","that","timestep","are","equal","to","'mask_value","'",",","then","the","timestep","will","masked","(","skipped",")","in","all","downstream","layers",".","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",".",">",">",">","masking","=","Masking","(","0.3",",","input_shape=","(","6",",","8",")",")","creating",":","createZooKerasMasking"]
code: def __init__(self, mask_value=0.0, input_shape=None, **kwargs):
      super(Masking, self).__init__(
          None,
          float(mask_value),
          list(input_shape) if input_shape else None,
          **kwargs,
      )
  
imports: import sys
  from bigdl.dllib.utils.common import INTMIN
  from ..engine.topology import ZooKerasLayer
label_desc: Use image node_id 1 to create a new Masking object from inherited base classes: ZooKerasLayer with example: obj = Masking(mask_value, input_shape)