code: def test_residualdeconvolutionupsampleblock():
      x = torch.randn((4, 16, 32, 32))
      block = ResidualDeconvolutionUpsample2d(16)
      output = block(x, output_size=None)
      print(x.size(), x.mean(), x.std())
      print(output.size(), output.mean(), x.std())
  
imports: import pytest
  import torch
  from pytorch_toolbelt.modules import HFF, ResidualDeconvolutionUpsample2d, GlobalKMaxPool2d
label_desc: Use image node_id 3 for calling a global function with example usage: test_residualdeconvolutionupsampleblock() without return types