code: def _get_linear_bias_bias_Dout(pattern, is_first_input):
      linear_bias = pattern.linear.bias.val
      bias = (
          pattern.add_or_sub.y.val
          if is_first_input
          else pattern.add_or_sub.x.val
      )
      Dout = linear_bias.shape[0]
      return linear_bias, bias, Dout
  
file_path: coremltools/coremltools/converters/mil/experimental/passes/generic_linear_bias_fusion.py
imports: import os
  import numpy
  from coremltools.converters.mil import Builder
  from coremltools.converters.mil.experimental.passes.generic_pass_infrastructure import register_generic_pass
  from coremltools.converters.mil.mil import get_new_symbol
label_desc: Use image node_id 3 for calling a global function with example usage: _get_linear_bias_bias_Dout(pattern, is_first_input) and returns: linear_bias,  bias,  Dout