code: def _transform_bias(bias, bn):
      # [num_filter, 1, 1] -> [num_filter//bn, 1, 1, bn]
      num_filter, h, w = bias.shape
      bias = np.reshape(bias, (num_filter // bn, bn, h, w))
      bias = np.transpose(bias, (0, 2, 3, 1))
      return bias
  
file_path: tvm/tests/python/topi/test_topi_conv2d_NCHWc.py
imports: import numpy
  import tvm
  from tvm import te
  from tvm import autotvm
  from tvm import topi
  import tvm.testing
  import tvm.topi.testing
  from tvm.contrib.pickle_memoize import memoize
  from tvm.topi.nn.utils import get_pad_tuple
  from tvm.topi.utils import get_const_tuple
label_desc: Use image node_id 3 for calling a global function with example usage: _transform_bias(bias, bn) and returns: bias