code: def num_channels_per_output(cls):
      return [
          (32, 64, 128, 256, 512, 1024),
          (32, 64, 128, 256),
          (32, 64, 128, 256),
          (32, 64, 128, 256),
      ]
  
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.blocks.encoder import BaseEncoder
  from monai.networks.nets import FLEXUNET_BACKBONE, EfficientNetBNFeatures, FlexibleUNet, FlexUNetEncoderRegister, ResNet, ResNetBlock, ResNetBottleneck
  from monai.utils import optional_import
  from tests.utils import skip_if_downloading_fails, skip_if_quick
label_desc: Use image node_id 2 for calling the DummyEncoder obj's underlying member method code with example usage: obj.num_channels_per_output(cls) and returns: list