In Keras, is there documentation describing the string name to class mappings for initializers, optimizers, etc?

Question

Is there any documentation describing what string names map to what objects in Keras? For example, below I create an Embedding layer from tf.keras.layers and I can use 'uniform' to map to the tf.keras.initializers.RandomUniform class.

tf.keras.layers.Embedding(1000, 64, embeddings_initializer='uniform')

But I only know that by seeing examples of that usage. I presume the supported string forms are documented somewhere, but I can't seem to find such documentation, and digging through the code got too abstract to follow easily.

Version: TF 1.13.1

Answer 1

There is no list of string constants available in keras implementation in TF (and, I suppose, in original keras neither).

For the initializer case the 'uniform' string is converted to config and a fabric method is called on that config with a hint to create an object from initializers namespace (can be found here as def deserialize_keras_object):

config = {'class_name': str(identifier), 'config': {}}

deserialize_keras_object(
      config,
      module_objects=globals(),
      custom_objects=custom_objects,
      printable_module_name='initializer')

Therefore, I can not think of a better way to, for example, list all initializers than:

import tensorflow as tf

for k, v in tf.keras.initializers.__dict__.items():
    if not k[0].isupper() and not k[0] == "_":
        print(k)

And output, although with extra values, is like:

constant
glorot_normal
glorot_uniform
identity
ones
orthogonal
zeros
he_normal
he_uniform
lecun_normal
lecun_uniform
normal
random_normal
random_uniform
uniform
truncated_normal
deserialize
get
serialize