docstr: Initialize layers of the DinoTransformer.
code: def init_layers(self):
      """Initialize layers of the DinoTransformer."""
      self.level_embeds = nn.Parameter(
          torch.Tensor(self.num_feature_levels, self.embed_dims)
      )
      self.enc_output = nn.Linear(self.embed_dims, self.embed_dims)
      self.enc_output_norm = nn.LayerNorm(self.embed_dims)
      self.query_embed = nn.Embedding(
          self.two_stage_num_proposals, self.embed_dims
      )
  
imports: import math
  import warnings
  import torch
  import torch.nn
  from mmcv.cnn import build_norm_layer
  from mmcv.cnn.bricks.transformer import BaseTransformerLayer, TransformerLayerSequence, build_transformer_layer_sequence
  from mmcv.ops import MultiScaleDeformableAttention
  from mmengine.model import BaseModule
  from mmengine.model.weight_init import xavier_init
  from torch.nn.init import normal_
  from mmdet.models.layers.transformer import inverse_sigmoid
  from mmdet.registry import MODELS
label_desc: Use image node_id 2 for calling the CoDinoTransformer obj's underlying member method code with example usage: obj.init_layers() without return types