code: def get_single_scalar_bias(x, name: str):
      """Simple helper method to return a scalar bias.
  
      This is used as the `shift` in FixUp initialization and should be before
      every projection or convolution.
  
      Args:
        x: A mtf variable, used to know which mesh and dtype to use.
        name: The name of the bias.
  
      Returns:
        A (trainable) mtf Scalar.
      """
      single_dimension = mtf.Dimension("single_bias", 1)
      return mtf.get_variable(
          x.mesh,
          name,
          mtf.Shape([single_dimension]),
          initializer=tf.zeros_initializer(),
          dtype=x.dtype,
      )
  
imports: import math
  import gin
  import mesh_tensorflow
  from mesh_tensorflow.transformer import attention
  from mesh_tensorflow.transformer import transformer
  from mesh_tensorflow.transformer import transformer_layers
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: get_single_scalar_bias(x, name) and returns: mtf