class_docstr: AnyNet stage (sequence of blocks w/ the same output shape).
class_docstr_tok: ["AnyNet","stage","(","sequence","of","blocks","w\/","the","same","output","shape",")","."]
code: def forward(self, x):
      for block in self.children():
          x = block(x)
      return x
  
imports: import numpy
  from torch import nn
  from detectron2.layers import CNNBlockBase, ShapeSpec, get_norm
  from .backbone import Backbone
label_desc: Use image node_id 2 for calling the AnyStage obj's underlying member method code with example usage: obj.forward(x) and returns: x