class_docstr: ResNet stem for CIFAR: 3x3, BN, AF.
class_docstr_tok: ["ResNet","stem","for","CIFAR",":","3x3",",","BN",",","AF","."]
code: def __init__(self, w_in, w_out):
      super(ResStemCifar, self).__init__()
      self.conv = conv2d(w_in, w_out, 3)
      self.bn = norm2d(w_out)
      self.af = activation()
  
imports: from pycls.core.config import cfg
  from pycls.models.blocks import activation, conv2d, conv2d_cx, gap2d, gap2d_cx, init_weights, linear, linear_cx, norm2d, norm2d_cx, pool2d, pool2d_cx, SE
  from torch.nn import Module
label_desc: Use image node_id 1 to create a new ResStemCifar object from inherited base classes: Module with example: obj = ResStemCifar(w_in, w_out)