code: def _get_conv_signal(layer_labels):
      """A signal using the convolutional layers."""
      conv_layers = [
          ll
          for ll in layer_labels
          if ll.startswith("conv") or ll.startswith("res")
      ]
      conv_filter_vals = np.array([float(ll[-1]) for ll in conv_layers])
      return (conv_filter_vals == 3).sum() / float(
          len(conv_filter_vals) + 1
      )
  
file_path: dragonfly/dragonfly/nn/syn_nn_functions.py
imports: import numpy
label_desc: Use image node_id 9 for calling a global function with example usage: _get_conv_signal(layer_labels) and returns: unknown