code: def load_biases_padded(mdl, idx, tensor_out_c):
      tensor_out_cg = (tensor_out_c + 3) // 4
      # [outputCGroups][outputChannels]
      # biases merely need padding
      # Again, has to be zero
      bias_na = load_param(mdl, idx, tensor_out_c)
      if (tensor_out_c & 3) != 0:
          bias_na = numpy.pad(
              bias_na, [[0, 4 - (tensor_out_c & 3)]], mode="constant"
          )
      return bias_na
  
file_path: kompute/examples/neural_network_vgg7/sh_common.py
imports: from PIL import Image
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: load_biases_padded(mdl, idx, tensor_out_c) and returns: bias_na