code: def _reset_parameters(self):
      if self.eval_size:
          for idx in self.use_encoder_idx:
              stride = self.feat_strides[idx]
              pos_embed = self.build_2d_sincos_position_embedding(
                  self.eval_size[1] // stride,
                  self.eval_size[0] // stride,
                  self.hidden_dim,
                  self.pe_temperature,
              )
              setattr(self, f"pos_embed{idx}", pos_embed)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register, serializable
  from ppdet.modeling.ops import get_act_fn
  from ..shape_spec import ShapeSpec
  from ..backbones.csp_darknet import BaseConv
  from ..backbones.cspresnet import RepVggBlock
  from ppdet.modeling.transformers.detr_transformer import TransformerEncoder
  from ..initializer import xavier_uniform_, linear_init_
  from ..layers import MultiHeadAttention
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
label_desc: Use image node_id 2 for calling the HybridEncoder obj's underlying member method code with example usage: obj._reset_parameters() without return types