code: def call(self, inputs, training=False):
      if training and self.rate > 0:
          return backend.random.dropout(
              inputs,
              self.rate,
              noise_shape=self._get_noise_shape(inputs),
              seed=self.seed_generator,
          )
      return inputs
  
imports: from keras import backend
  from keras import ops
  from keras.api_export import keras_export
  from keras.layers.input_spec import InputSpec
  from keras.layers.regularization.dropout import Dropout
label_desc: Use image node_id 2 for calling the BaseSpatialDropout obj's underlying member method code with example usage: obj.call(inputs, training) and returns: inputs, backend