class_docstr: Convolution + IBNorm + Relu
class_docstr_tok: ["Convolution","+","IBNorm","+","Relu"]
code: def forward(self, x):
      return self.layers(x)
  
imports: from collections import defaultdict
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  import scipy
  import paddleseg
  from paddleseg.models import layers, losses
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
label_desc: Use image node_id 2 for calling the Conv2dIBNormRelu obj's underlying member method code with example usage: obj.forward(x) and returns: self