code: def forward(self, x):
      if self.types == "Pool":
          x1 = self.avgpool(x)
          x2 = self.maxpool(x)
          x = (x1 + x2) * 0.5
          out = self.proj(x.flatten(2).transpose((0, 2, 1)))
      else:
          x = self.conv(x)
          out = x.flatten(2).transpose((0, 2, 1))
      out = self.norm(out)
      if self.act is not None:
          out = self.act(out)
  
      return out
  
imports: from paddle import ParamAttr
  from paddle.nn.initializer import KaimingNormal
  import numpy
  import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal
label_desc: Use image node_id 2 for calling the SubSample obj's underlying member method code with example usage: obj.forward(x) and returns: out