code: def _pack_weight_conv2d_transpose(data, dshape, cfactor):
      """Pack the weight into packed format."""
      dshape = _to_shape(dshape)
      assert len(dshape) == 4
      assert dshape[0] % cfactor == 0
      assert dshape[1] % cfactor == 0
      data = op.reshape(
          data,
          newshape=(
              dshape[0] // cfactor,
              cfactor,
              dshape[1] // cfactor,
              cfactor,
              dshape[2],
              dshape[3],
          ),
      )
      data = op.transpose(data, axes=(2, 0, 4, 5, 3, 1))
      return data
  
imports: import tvm
  from tvm import relay
  from tvm.relay import op, transform
  from tvm.relay import ExprMutator
label_desc: Use image node_id 10 for calling a global function with example usage: _pack_weight_conv2d_transpose(data, dshape, cfactor) and returns: data