class_docstr: A mask head with several conv layers, plus an upsample layer (with `ConvTranspose2d`).
  Predictions are made with a final 1x1 conv layer.
class_docstr_tok: ["A","mask","head","with","several","conv","layers",",","plus","an","upsample","layer","(","with","`","ConvTranspose2d","`",")",".","Predictions","are","made","with","a","final","1x1","conv","layer","."]
code: def layers(self, x):
      for layer in self:
          x = layer(x)
      return x
  
imports: from typing import List
  import fvcore.nn.weight_init
  import torch
  from torch import nn
  from torch.nn import functional
  from detectron2.config import configurable
  from detectron2.layers import Conv2d, ConvTranspose2d, ShapeSpec, cat, get_norm
  from detectron2.layers.wrappers import move_device_like
  from detectron2.structures import Instances
  from detectron2.utils.events import get_event_storage
  from detectron2.utils.registry import Registry
label_desc: Use image node_id 3 for calling the MaskRCNNConvUpsampleHead obj's underlying member method code with example usage: obj.layers(x) and returns: x