code: def forward(self, x):
      emb = self.backbone(x.transpose([0, 2, 1])).transpose([0, 2, 1])
      logits = F.linear(
          F.normalize(emb.squeeze(1)),
          F.normalize(self.params[0]).transpose([1, 0]),
      )
  
      return logits
  
imports: import math
  import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling the Classifier obj's underlying member method code with example usage: obj.forward(x) and returns: logits