code: def test_subpixel_shape(
      self, input_param, input_shape, expected_shape
  ):
      net = SubpixelUpsample(**input_param)
      with eval_mode(net):
          result = net.forward(torch.randn(input_shape))
          self.assertEqual(result.shape, expected_shape)
  
file_path: MONAI/tests/test_subpixel_upsample.py
imports: from __future__ import annotations
  import unittest
  import torch
  import torch.nn
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.blocks import SubpixelUpsample
  from monai.networks.layers.factories import Conv
  from tests.utils import SkipIfBeforePyTorchVersion, test_script_save
label_desc: Use image node_id 1 for calling the TestSUBPIXEL obj's underlying member method code with example usage: obj.test_subpixel_shape(input_param, input_shape, expected_shape) without return types