code: def from_config(cls, cfg, input_shape):
      return {
          "in_feats_channel": [i.channels for i in input_shape],
      }
  
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 paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from ppdet.core.workspace import register
  from ..layers import MultiHeadAttention
  from .position_encoding import PositionEmbedding
  from ..heads.detr_head import MLP
  from .deformable_transformer import MSDeformableAttention, DeformableTransformerEncoderLayer, DeformableTransformerEncoder
  from ..initializer import linear_init_, constant_, xavier_uniform_, normal_, bias_init_with_prob
  from .utils import _get_clones, get_valid_ratio, get_contrastive_denoising_training_group, get_sine_pos_embed, inverse_sigmoid
label_desc: Use image node_id 3 for calling the DINOTransformer obj's underlying member method code with example usage: obj.from_config(cls, cfg, input_shape) and returns: dict