Update trainer.py

trainer.py

@@ -704,7 +704,7 @@ class Trainer(object):
         G2_path = os.path.join(self.inference_model, '{}-G2.ckpt'.format(self.submodel))
         self.G2.load_state_dict(torch.load(G2_path, map_location=lambda storage, loc: storage))        
         
-        
+        print(G_path)
         drug_smiles = [line for line in open("data/akt_test.smi", 'r').read().splitlines()]
         
         drug_mols = [Chem.MolFromSmiles(smi) for smi in drug_smiles]