code: def _get_conv_filter_size_cost(labi, labj, conv_scale):
      """Returns the cost for comparing two different convolutional filters."""
      conv_diff = float(abs(int(labi[-1]) - int(labj[-1])))
      return conv_scale * np.sqrt(conv_diff)
  
imports: import numpy
  from .None import neural_network
  from ..gp.kernel import ExpSumOfDistsKernel, SumOfExpSumOfDistsKernel
  from ..utils.oper_utils import opt_transport
label_desc: Use image node_id 1 for calling a global function with example usage: _get_conv_filter_size_cost(labi, labj, conv_scale) and returns: unknown