code: def __init__(self, **kwargs):
      super().__init__(
          num_blocks=[3, 4, 6, 3],
          basic_layer=True,
          zero_init_bn_residuals=True,
          reduction=1,
          **kwargs,
      )
  
imports: import copy
  import math
  import re
  import warnings
  from collections import OrderedDict
  from typing import Any, Dict, Optional, Sequence
  import torch.nn
  from classy_vision.generic.util import is_pos_int, is_pos_int_tuple
  from .None import register_model
  from .classy_model import ClassyModel
  from .squeeze_and_excitation_layer import SqueezeAndExcitationLayer
label_desc: Use image node_id 1 to create a new ResNet34 object from inherited base classes: _ResNeXt with example: obj = ResNet34()