class_docstr: Compute if inputs contains zero value.
  
  Returns:
      bool tensor: True for values not equal to zero.
code: def __init__(self, **kwargs):
      super(ComputeMasking, self).__init__(**kwargs)
  
imports: import tensorflow.compat.v1.keras
  from tensorflow.compat.v1.linalg import einsum
  from tensorflow.compat.v1.keras import layers
  from tensorflow.compat.v1.keras import backend
label_desc: Use image node_id 1 to create a new ComputeMasking object from inherited base classes: layers with example: obj = ComputeMasking()