class_docstr: Initializer which concats other intializers.
class_docstr_tok: ["Initializer","which","concats","other","intializers","."]
docstr: Instantiates an initializer from a configuration dictionary.
docstr_tok: ["Instantiates","an","initializer","from","a","configuration","dictionary","."]
code: def from_config(cls, config):
      """Instantiates an initializer from a configuration dictionary."""
      return cls(
          **{
              "initializers": [
                  tf_keras.initializers.deserialize(init)
                  for init in config.get("initializers", [])
              ],
              "sizes": config.get("sizes", []),
              "validate_args": config.get("validate_args", False),
          }
      )
  
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 7 for calling the BlockwiseInitializer obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls