docstr: Create internal variables for the layer.
  
  Parameters
  ----------
  var_shape
      Tuple representing the shape of the desired array. If considering
       the array as a rectangular matrix, this tuple is represented as
       '(ROWS, COLUMNS)'.
  device
      Device on which to create the layer's variables 'cuda:0', 'cuda:1', 'cpu'
      etc. Default is cpu.
  dtype
      Desired data type.
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code: def create_variables(
      self,
      var_shape=None,
      device=None,
      dtype=None,
  ):
      """Create internal variables for the layer.
  
      Parameters
      ----------
      var_shape
          Tuple representing the shape of the desired array. If considering
           the array as a rectangular matrix, this tuple is represented as
           '(ROWS, COLUMNS)'.
      device
          Device on which to create the layer's variables 'cuda:0', 'cuda:1', 'cpu'
          etc. Default is cpu.
      dtype
          Desired data type.
      """
      return _variable(
          ivy.random_normal(
              mean=self._mean,
              std=self._stddev,
              shape=var_shape,
              seed=self._seed,
              device=device,
              dtype=dtype,
          )
      )
  
imports: from typing import Tuple, Union, Optional
  import abc
  import ivy
  from ivy.functional.ivy.gradients import _variable
label_desc: Use image node_id 2 for calling the RandomNormal obj's underlying member method code with example usage: obj.create_variables(var_shape, device, dtype) and returns: _variable