code: def __init__(
      self, backbone: nn.Module, position_embedding: nn.Module
  ):
      super().__init__(backbone, position_embedding)
  
imports: import math
  from collections import OrderedDict
  import torch
  import torch.nn.functional
  import torchvision
  from mmf.models.unit.misc import NestedTensor
  from torch import nn
  from torchvision.models._utils import IntermediateLayerGetter
  from torchvision.ops.misc import FrozenBatchNorm2d
label_desc: Use image node_id 1 to create a new Joiner object from inherited base classes: nn with example: obj = Joiner(backbone, position_embedding)