code: def _bbox_decode_fake(self, pred_dist):
      _, l, _ = get_static_shape(pred_dist)
      pred_dist_dfl = F.softmax(
          pred_dist.reshape([-1, l, 4, self.reg_channels])
      )
      pred_dist = self.proj_conv(
          pred_dist_dfl.transpose([0, 3, 1, 2])
      ).squeeze(1)
      return pred_dist, pred_dist_dfl
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from paddle import ParamAttr
  from paddle.nn.initializer import KaimingNormal
  from paddle.nn.initializer import Normal, Constant
  from ..bbox_utils import batch_distance2bbox
  from ..losses import GIoULoss
  from ..initializer import bias_init_with_prob, constant_, normal_
  from ..assigners.utils import generate_anchors_for_grid_cell
  from ppdet.modeling.backbones.cspresnet import ConvBNLayer, RepVggBlock
  from ppdet.modeling.ops import get_static_shape, get_act_fn
  from ppdet.modeling.layers import MultiClassNMS
label_desc: Use image node_id 11 for calling the PPYOLOEHead obj's underlying member method code with example usage: obj._bbox_decode_fake(pred_dist) and returns: pred_dist,  pred_dist_dfl