code: def sublayer_fixup_shift(x, layer_stack, context):
      """Shift by single zero-initialized scalar."""
      del layer_stack
      dim = mtf.Dimension("single_bias", 1)
      fixup_bias = mtf.get_variable(
          x.mesh,
          "fixup_bias",
          shape=mtf.Shape([dim]),
          dtype=context.variable_dtype,
          initializer=tf.zeros_initializer(),
      )
      res = mtf.add(x, fixup_bias)
      res = mtf.reshape(res, x.shape)
      return res
  
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 4 for calling a global function with example usage: sublayer_fixup_shift(x, layer_stack, context) and returns: res