def __call__(self, shape, dtype=None, **kwargs):
    'Returns a tensor object initialized as specified by the initializer.\n\n    Args:\n      shape: Shape of the tensor.\n      dtype: Optional dtype of the tensor. Only floating point and integer\n      types are supported. If not specified,\n        `tf.keras.backend.floatx()` is used,\n       which default to `float32` unless you configured it otherwise\n       (via `tf.keras.backend.set_floatx(float_dtype)`).\n      **kwargs: Additional keyword arguments.\n    '
    return super(RandomUniform, self).__call__(shape, dtype=_get_dtype(dtype), **kwargs)
Returns a tensor object initialized as specified by the initializer.

Args:
  shape: Shape of the tensor.
  dtype: Optional dtype of the tensor. Only floating point and integer
  types 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.
def __call__(self, shape, dtype=None, **kwargs):
    'Returns a tensor object initialized as specified by the initializer.\n\n    Args:\n      shape: Shape of the tensor.\n      dtype: Optional dtype of the tensor. Only floating point and integer\n      types are supported. If not specified,\n        `tf.keras.backend.floatx()` is used,\n       which default to `float32` unless you configured it otherwise\n       (via `tf.keras.backend.set_floatx(float_dtype)`).\n      **kwargs: Additional keyword arguments.\n    '
    return super(RandomUniform, self).__call__(shape, dtype=_get_dtype(dtype), **kwargs)