code: def _generate_anchors(self, feats=None, dtype="float32"):
      # just use in eval time
      anchor_points = []
      stride_tensor = []
      for i, stride in enumerate(self.fpn_strides):
          if feats is not None:
              _, _, h, w = feats[i].shape
          else:
              h = int(self.eval_size[0] / stride)
              w = int(self.eval_size[1] / stride)
          shift_x = paddle.arange(end=w) + self.grid_cell_offset
          shift_y = paddle.arange(end=h) + self.grid_cell_offset
          shift_y, shift_x = paddle.meshgrid(shift_y, shift_x)
          anchor_point = paddle.cast(
              paddle.stack([shift_x, shift_y], axis=-1), dtype=dtype
          )
          anchor_points.append(anchor_point.reshape([-1, 2]))
          stride_tensor.append(
              paddle.full([h * w, 1], stride, dtype=dtype)
          )
      anchor_points = paddle.concat(anchor_points)
      stride_tensor = paddle.concat(stride_tensor)
      return anchor_points, stride_tensor
  
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 5 for calling the PPYOLOEHead obj's underlying member method code with example usage: obj._generate_anchors(feats, dtype) and returns: anchor_points,  stride_tensor