code: def sublayer_fixup_scale(x, layer_stack, context):
      """Multiply by single one-initialized scalar."""
      del layer_stack
      dim = mtf.Dimension("single_scale", 1)
      fixup_weight = mtf.get_variable(
          x.mesh,
          "fixup_scale_weight",
          shape=mtf.Shape([dim]),
          dtype=context.variable_dtype,
          initializer=tf.constant_initializer(1.0),
      )
      return mtf.reshape(x * fixup_weight, x.shape)
  
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 3 for calling a global function with example usage: sublayer_fixup_scale(x, layer_stack, context) and returns: mtf