class_docstr: Initializer that generates tensors with a normal distribution.
class_docstr_tok: ["Initializer","that","generates","tensors","with","a","normal","distribution","."]
code: def __call__(
      self, shape: types.ShapeLike, dtype: tf.DType
  ) -> tf.Tensor:
      dtype = _as_floating_dtype(dtype)
      return tf.random.normal(
          shape=shape,
          mean=self.mean,
          stddev=self.stddev,
          dtype=dtype,
          seed=self.seed,
      )
  
imports: import abc
  import collections
  from typing import Iterable, Mapping, Optional, Union
  import numpy
  from sonnet.src import types
  import tensorflow
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: tf