code: def __repr__(self) -> str:
      s = self.__class__.__name__ + "("
      s += "input_channels={input_channels}"
      s += ", out_channels={out_channels}"
      s += ", num_layers={num_layers}"
      s += ")"
      return s.format(**self.__dict__)
  
imports: from functools import partial
  from typing import Any, Callable, List, Optional, Sequence
  import torch
  from torch import nn, Tensor
  from torch.nn import functional
  from ..ops.misc import Conv2dNormActivation, Permute
  from ..ops.stochastic_depth import StochasticDepth
  from ..transforms._presets import ImageClassification
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 2 for calling the CNBlockConfig obj's underlying member method code with example usage: obj.__repr__() and returns: s