docstr: Add an all-zeros variable with the shape and dtype of a reference
  variable.
docstr_tok: ["Add","an","all-zeros","variable","with","the","shape","and","dtype","of","a","reference","variable","."]
code: def add_variable_from_reference(
      self, reference_variable, name=None, initializer="zeros"
  ):
      """Add an all-zeros variable with the shape and dtype of a reference
      variable.
      """
      name = name or "var"
      if hasattr(reference_variable, "path"):
          name = reference_variable.path.replace("/", "_") + "_" + name
      else:
          name = (
              str(reference_variable.name).replace(":", "_")
              + "_"
              + name
          )
      return self.add_variable(
          shape=reference_variable.shape,
          initializer=initializer,
          dtype=reference_variable.dtype,
          name=name,
      )
  
imports: import re
  import warnings
  import numpy
  from keras import backend
  from keras import initializers
  from keras import ops
  from keras.optimizers.schedules import learning_rate_schedule
  from keras.saving import serialization_lib
  from keras.utils import tracking
  from keras.utils.naming import auto_name
label_desc: Use image node_id 8 for calling the BaseOptimizer obj's underlying member method code with example usage: obj.add_variable_from_reference(reference_variable, name, initializer) and returns: self