bug: uncorrectly use get_batch func, change:not use this function now.

train_embeddings/main.py

@@ -62,17 +62,14 @@ def get_batch(self, er_vocab, er_vocab_pairs, idx):
 
     def evaluate(self, model, data):
         model.eval()
-        hits = []
+        hits = [[] for _ in range(10)]
         ranks = []
-        for i in range(10):
-            hits.append([])
-
         test_data_idxs = self.get_data_idxs(data)
-        er_vocab = self.get_er_vocab(self.get_data_idxs(d.data))
+        er_vocab = self.get_er_vocab(test_data_idxs)
 
         print("Number of data points: %d" % len(test_data_idxs))
         for i in tqdm(range(0, len(test_data_idxs), self.batch_size)):
-            data_batch, _ = self.get_batch(er_vocab, test_data_idxs, i)
+            data_batch = np.array(test_data_idxs[i: i+self.batch_size])
             e1_idx = torch.tensor(data_batch[:,0])
             r_idx = torch.tensor(data_batch[:,1])
             e2_idx = torch.tensor(data_batch[:,2])