code: def _reset_parameters(self):
      for p in self.parameters():
          if p.dim() > 1:
              nn.init.xavier_uniform_(p)
  
file_path: mmdetection/projects/XDecoder/xdecoder/pixel_decoder.py
imports: from typing import Callable, Optional, Union
  from torch import nn
  from torch.nn import functional
  from mmdet.registry import MODELS
  from .transformer_blocks import Conv2d, PositionEmbeddingSine, TransformerEncoder, TransformerEncoderLayer, get_norm
label_desc: Use image node_id 2 for calling the TransformerEncoderOnly obj's underlying member method code with example usage: obj._reset_parameters() without return types