class_docstr: Initializes by sampling from a normal distribution.
code: def __call__(self, shape: Sequence[int], dtype) -> jax.Array:
      m = jax.lax.convert_element_type(self.mean, dtype)
      s = jax.lax.convert_element_type(self.stddev, dtype)
      return m + s * jax.random.normal(hk.next_rng_key(), shape, dtype)
  
imports: from collections.abc import Sequence
  from typing import Any, Union
  from haiku._src import base
  from haiku._src.typing import Initializer
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 2 for calling the RandomNormal obj's underlying member method code with example usage: obj.__call__(shape, dtype) and returns: unknown