code: def __init__(
      self,
      in_planes: int,
      out_planes: int,
      midplanes: Optional[int] = None,
      stride: int = 1,
      padding: int = 1,
  ) -> None:
      super().__init__(
          in_channels=in_planes,
          out_channels=out_planes,
          kernel_size=(3, 3, 3),
          stride=stride,
          padding=padding,
          bias=False,
      )
  
imports: from functools import partial
  from typing import Any, Callable, List, Optional, Sequence, Tuple, Type, Union
  import torch.nn
  from torch import Tensor
  from ...transforms._presets import VideoClassification
  from ...utils import _log_api_usage_once
  from .._api import register_model, Weights, WeightsEnum
  from .._meta import _KINETICS400_CATEGORIES
  from .._utils import _ovewrite_named_param, handle_legacy_interface
  from .._utils import _ModelURLs
label_desc: Use image node_id 1 to create a new Conv3DSimple object from inherited base classes: nn with example: obj = Conv3DSimple(in_planes, out_planes, midplanes, stride, padding)