e94a6641dccda6dd7f8ad86fad82e62388548777,keras/initializers/initializers_v2.py,RandomUniform,__call__,#RandomUniform#Any#Any#,253

Before Change

       (via `tf.keras.backend.set_floatx(float_dtype)`).
      **kwargs: Additional keyword arguments.
    
    return super(RandomUniform, self).__call__(
        shape, dtype=_get_dtype(dtype), **kwargs)


@keras_export("keras.initializers.RandomNormal",
              "keras.initializers.random_normal",

After Change

       (via `tf.keras.backend.set_floatx(float_dtype)`).
      **kwargs: Additional keyword arguments.
    
    _validate_kwargs(self.__class__.__name__, kwargs)
    dtype = _get_dtype(dtype)
    if not dtype.is_floating and not dtype.is_integer:
      raise ValueError("Expected float or integer dtype, got %s." % dtype)
    if _PARTITION_SHAPE in kwargs:

Instances