class_docstr: Residual block: x + f(x).
class_docstr_tok: ["Residual","block",":","x","+","f","(","x",")","."]
code: def forward(self, x):
      x_p = self.bn(self.proj(x)) if self.proj else x
      return self.af(x_p + self.f(x))
  
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 2 for calling the ResBlock obj's underlying member method code with example usage: obj.forward(x) and returns: self