e94a6641dccda6dd7f8ad86fad82e62388548777,keras/initializers/initializers_v2.py,Zeros,__call__,#Zeros#,132

Before Change

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


@keras_export("keras.initializers.Ones", "keras.initializers.ones", v1=[])
class Ones(tf.ones_initializer, Initializer):

After Change

  >>> layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)
  

  def __call__(self, shape, dtype=None, **kwargs):
    Returns a tensor object initialized as specified by the initializer.

    Args:
      shape: Shape of the tensor.
      dtype: Optional dtype of the tensor. Only numeric or boolean dtypes are
       supported. If not specified, `tf.keras.backend.floatx()` is used,
       which default to `float32` unless you configured it otherwise
       (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_numpy_compatible or dtype == tf.string:
      raise ValueError("Expected numeric or boolean dtype, got %s." % dtype)
    if _PARTITION_SHAPE in kwargs:
      shape = kwargs[_PARTITION_SHAPE]
    return tf.zeros(shape, dtype)


@keras_export("keras.initializers.Ones", "keras.initializers.ones", v1=[])
class Ones(Initializer):

Instances