code: def _reset_parameters(self):
      for p in self.parameters():
          if p.dim() > 1:
              xavier_uniform_(p)
      conv_init_(self.input_proj)
      normal_(self.query_pos_embed.weight)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from ..layers import MultiHeadAttention, _convert_attention_mask
  from .position_encoding import PositionEmbedding
  from .utils import _get_clones
  from ..initializer import linear_init_, conv_init_, xavier_uniform_, normal_
label_desc: Use image node_id 2 for calling the DETRTransformer obj's underlying member method code with example usage: obj._reset_parameters() without return types