code: def var_constraints_tranpose(pattern):
      bias = (
          pattern.add_or_sub.x.val
          if pattern.add_or_sub.x.val is not None
          else pattern.add_or_sub.y.val
      )
      Cout = pattern.conv.outputs[0].shape[1]
  
      passed = True
      passed = (
          passed
          and pattern.add_or_sub.x.val is not None
          or pattern.add_or_sub.y.val is not None
      )
      passed = (
          passed
          and _bias_mod_and_validity(bias, Cout, pattern) is not None
      )
      return passed
  
file_path: coremltools/coremltools/converters/mil/experimental/passes/generic_conv_bias_fusion.py
imports: import os
  import numpy
  from coremltools import _logger
  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 types
label_desc: Use image node_id 3 for calling a global function with example usage: var_constraints_tranpose(pattern) and returns: passed