class_docstr: Initializer which concats other intializers.
class_docstr_tok: ["Initializer","which","concats","other","intializers","."]
docstr: Returns initializer configuration as a JSON-serializable dict.
docstr_tok: ["Returns","initializer","configuration","as","a","JSON-serializable","dict","."]
code: def get_config(self):
      """Returns initializer configuration as a JSON-serializable dict."""
      return {
          "initializers": [
              tf_keras.initializers.serialize(
                  tf_keras.initializers.get(init)
              )
              for init in self.initializers
          ],
          "sizes": self.sizes,
          "validate_args": self.validate_args,
      }
  
file_path: probability/tensorflow_probability/python/layers/initializers.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 6 for calling the BlockwiseInitializer obj's underlying member method code with example usage: obj.get_config() and returns: dict