fix gan in python3 (#2494)

PaddleCV/gan/data_reader.py

@@ -294,7 +294,6 @@ class celeba_reader_creator(reader_creator):
                         img = Image.open(os.path.join(self.image_dir,
                                                       file)).convert('RGB')
                         label = np.array(label).astype("float32")
-                        label = (label + 1) // 2
                         img = CentorCrop(img, args.crop_size, args.crop_size)
                         img = img.resize((args.image_size, args.image_size),
                                          Image.BILINEAR)

PaddleCV/gan/trainer/AttGAN.py

@@ -291,10 +291,12 @@ class AttGAN(object):
                 label_trg = copy.deepcopy(label_org)
 
                 np.random.shuffle(label_trg)
-                label_org_ = map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
-                                 label_org)
-                label_trg_ = map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
-                                 label_trg)
+                label_org_ = list(
+                    map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
+                        label_org))
+                label_trg_ = list(
+                    map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
+                        label_trg))
 
                 tensor_img = fluid.LoDTensor()
                 tensor_label_org = fluid.LoDTensor()

PaddleCV/gan/trainer/STGAN.py

@@ -296,10 +296,12 @@ class STGAN(object):
                 label_trg = copy.deepcopy(label_org)
 
                 np.random.shuffle(label_trg)
-                label_org_ = map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
-                                 label_org)
-                label_trg_ = map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
-                                 label_trg)
+                label_org_ = list(
+                    map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
+                        label_org))
+                label_trg_ = list(
+                    map(lambda x: (x * 2.0 - 1.0) * self.cfg.thres_int,
+                        label_trg))
 
                 tensor_img = fluid.LoDTensor()
                 tensor_label_org = fluid.LoDTensor()