code: def forward(self, x: t.Tensor):
      if self.skey is None and self.bkey is None:
          skey, bkey = self.generate_key(*x.size()), self.generate_key(
              *x.size()
          )
          self.set_key(
              t.tensor(skey, dtype=x.dtype, device=x.device),
              t.tensor(bkey, dtype=x.dtype, device=x.device),
          )
      x = self._conv(x)
      x = self._bn(x)
      scale = self._get_scale()
      bias = self._get_bias()
      x = scale * x + bias
      self._out_scale, self._out_bias = scale, bias
      return self._activation(x) if self._activation is not None else x
  
imports: import random
  import torch
  from torch import nn
  import numpy
  from typing import Literal
label_desc: Use image node_id 4 for calling the ConvPassportBlock obj's underlying member method code with example usage: obj.forward(x) and returns: unknown