code: def forward(self, x):
      return self.shuffle(self.conv(x))
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/heads/progressive_shuffle.py
imports: from typing import Optional, Callable, Mapping
  import numpy
  from torch import nn
  from pytorch_toolbelt.modules import instantiate_activation_block
  from pytorch_toolbelt.modules.interfaces import AbstractHead, FeatureMapsSpecification
  from pytorch_toolbelt.modules.normalization import NORM_BATCH, instantiate_normalization_block
label_desc: Use image node_id 2 for calling the ProgressiveShuffleBlock obj's underlying member method code with example usage: obj.forward(x) and returns: self