code: def forward(self, x):
      x = self.conv(x)
      x = self.bn(x)
      x = self.activ(x)
      x = self.pool(x)
      return x
  
imports: import numpy
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.nn.init
label_desc: Use image node_id 2 for calling the ShuffleInitBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x