class_docstr: Define how to apply SVD algorithm.
code: def get_compressible_weights(
      self, original_layer: tf.keras.layers.Layer
  ) -> List[str]:
      if isinstance(
          original_layer, tf.keras.layers.Conv2D
      ) or isinstance(original_layer, tf.keras.layers.Dense):
          return [original_layer.kernel]
      return []
  
file_path: model-optimization/tensorflow_model_optimization/python/core/common/keras/compression/algorithms/different_training_and_inference.py
imports: from typing import List
  import tensorflow
  from tensorflow_model_optimization.python.core.common.keras.compression import algorithm
label_desc: Use image node_id 6 for calling the SVD obj's underlying member method code with example usage: obj.get_compressible_weights(original_layer) and returns: list, list