class_docstr: ResNet stem for ImageNet: 7x7, BN, AF, MaxPool.
class_docstr_tok: ["ResNet","stem","for","ImageNet",":","7x7",",","BN",",","AF",",","MaxPool","."]
code: def complexity(cx, w_in, w_out):
      cx = conv2d_cx(cx, w_in, w_out, 7, stride=2)
      cx = norm2d_cx(cx, w_out)
      cx = pool2d_cx(cx, w_out, 3, stride=2)
      return cx
  
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
  from torch.nn import Module
label_desc: Use image node_id 3 for calling the ResStemIN obj's underlying member method code with example usage: obj.complexity(cx, w_in, w_out) and returns: cx