code: def decode_example(self, tfexample_data):
      
      # TODO(epot): Support dynamic shape
      if self.shape.count(None) < 2:
        # Restore the shape if possible. TF Example flattened it.
        shape = [-1 if i is None else i for i in self.shape]
        tfexample_data = tf.reshape(tfexample_data, shape)
      if tfexample_data.dtype != self.dtype:
        tfexample_data = tf.dtypes.cast(tfexample_data, self.dtype)
      return tfexample_data
docs: See base class for details.