class_docstr: Defines how to apply the EPR algorithm.
class_docstr_tok: ["Defines","how","to","apply","the","EPR","algorithm","."]
code: def get_compressible_weights(self, original_layer):
      if isinstance(original_layer, self._compressible_classes):
          if original_layer.use_bias:
              return [original_layer.kernel, original_layer.bias]
          else:
              return [original_layer.kernel]
      return []
  
imports: import functools
  from typing import Callable, List, Tuple
  import tensorflow
  import tensorflow_compression
  from tensorflow_model_optimization.python.core.common.keras.compression import algorithm
label_desc: Use image node_id 2 for calling the EPRBase obj's underlying member method code with example usage: obj.get_compressible_weights(original_layer) and returns: list, list, list