class_docstr: Implements the DeformableDETR transformer.
  
  Args:
      as_two_stage (bool): Generate query from encoder features.
          Default: False.
      num_feature_levels (int): Number of feature maps from FPN:
          Default: 4.
      two_stage_num_proposals (int): Number of proposals when set
          `as_two_stage` as True. Default: 300.
class_docstr_tok: ["Implements","the","DeformableDETR","transformer",".","Args",":","as_two_stage","(","bool",")",":","Generate","query","from","encoder","features",".","Default",":","False",".","num_feature_levels","(","int",")",":","Number","of","feature","maps","from","FPN",":","Default",":","4.","two_stage_num_proposals","(","int",")",":","Number","of","proposals","when","set","`","as_two_stage","`","as","True",".","Default",":","300","."]
docstr: Initialize the transformer weights.
code: def init_weights(self):
      """Initialize the transformer weights."""
      for p in self.parameters():
          if p.dim() > 1:
              nn.init.xavier_uniform_(p)
      for m in self.modules():
          if isinstance(m, MultiScaleDeformableAttention):
              m.init_weights()
      if not self.as_two_stage:
          xavier_init(
              self.reference_points, distribution="uniform", bias=0.0
          )
      normal_(self.level_embeds)
  
imports: import math
  import warnings
  from typing import Sequence
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from mmcv.cnn import Linear, build_activation_layer, build_norm_layer, xavier_init
  from mmcv.cnn.bricks.drop import build_dropout
  from mmcv.cnn.bricks.registry import FEEDFORWARD_NETWORK, TRANSFORMER_LAYER, TRANSFORMER_LAYER_SEQUENCE
  from mmcv.cnn.bricks.transformer import BaseTransformerLayer, TransformerLayerSequence, build_transformer_layer_sequence
  from mmcv.runner.base_module import BaseModule, Sequential
  from mmcv.utils import deprecated_api_warning, to_2tuple
  from torch.nn.init import normal_
  from ..builder import TRANSFORMER
label_desc: Use image node_id 3 for calling the DeformableDetrTransformer obj's underlying member method code with example usage: obj.init_weights() without return types