class_docstr: ResNetV1c variant described in [1]_.
  
  Compared with default ResNet(ResNetV1b), ResNetV1c replaces the 7x7 conv
  in the input stem with three 3x3 convs.
  
  References:
      .. [1] https://arxiv.org/pdf/1812.01187.pdf
class_docstr_tok: ["ResNetV1c","variant","described","in","[","1","]","_",".","Compared","with","default","ResNet","(","ResNetV1b",")",",","ResNetV1c","replaces","the","7x7","conv","in","the","input","stem","with","three","3x3","convs",".","References",":","..","[","1","]","https",":","\/\/arxiv.org\/pdf\/1812.01187.pdf"]
code: def __init__(self, **kwargs):
      super(ResNetV1c, self).__init__(
          deep_stem=True, avg_down=False, **kwargs
      )
  
imports: import torch.nn
  import torch.utils.checkpoint
  from annotator.uniformer.mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer, constant_init, kaiming_init
  from annotator.uniformer.mmcv.runner import load_checkpoint
  from annotator.uniformer.mmcv.utils.parrots_wrapper import _BatchNorm
  from annotator.uniformer.mmseg.utils import get_root_logger
  from ..builder import BACKBONES
  from ..utils import ResLayer
label_desc: Use image node_id 1 to create a new ResNetV1c object from inherited base classes: ResNet with example: obj = ResNetV1c()