code: def test_one_step(self, data):
      return self.model.predict(
          {
              "batch_h": self.to_var(data["batch_h"], self.use_gpu),
              "batch_t": self.to_var(data["batch_t"], self.use_gpu),
              "batch_r": self.to_var(data["batch_r"], self.use_gpu),
              "mode": data["mode"],
          }
      )
  
imports: import torch
  import torch.nn
  from torch.autograd import Variable
  import torch.optim
  import os
  import time
  import sys
  import datetime
  import ctypes
  import json
  import numpy
  from sklearn.metrics import roc_auc_score
  import copy
  from tqdm import tqdm
label_desc: Use image node_id 6 for calling the Tester obj's underlying member method code with example usage: obj.test_one_step(data) and returns: self