class_docstr: Define how to apply SVD algorithm.
code: def init_training_weights(self, pretrained_weight: tf.Tensor):
      self.add_training_weight(
          name="w",
          shape=pretrained_weight.shape,
          dtype=pretrained_weight.dtype,
          initializer=tf.keras.initializers.Constant(pretrained_weight),
      )
  
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 2 for calling the SVD obj's underlying member method code with example usage: obj.init_training_weights(pretrained_weight) without return types