class_docstr: R(2+1)D stem is different than the default one as it uses separated 3D convolution
class_docstr_tok: ["R","(","2+1",")","D","stem","is","different","than","the","default","one","as","it","uses","separated","3D","convolution"]
code: def __init__(self) -> None:
      super().__init__(
          nn.Conv3d(
              3,
              45,
              kernel_size=(1, 7, 7),
              stride=(1, 2, 2),
              padding=(0, 3, 3),
              bias=False,
          ),
          nn.BatchNorm3d(45),
          nn.ReLU(inplace=True),
          nn.Conv3d(
              45,
              64,
              kernel_size=(3, 1, 1),
              stride=(1, 1, 1),
              padding=(1, 0, 0),
              bias=False,
          ),
          nn.BatchNorm3d(64),
          nn.ReLU(inplace=True),
      )
  
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 R2Plus1dStem object from inherited base classes: nn with example: obj = R2Plus1dStem()