diff --git a/PaddleCV/gan/network/CycleGAN_network.py b/PaddleCV/gan/network/CycleGAN_network.py
index afea491307ec76dfb2fe0dc453221b49bf485b91..ed1934b62513e96832f0fe5f81fe27c7fd89872e 100644
--- a/PaddleCV/gan/network/CycleGAN_network.py
+++ b/PaddleCV/gan/network/CycleGAN_network.py
@@ -162,7 +162,7 @@ def build_generator_resnet_blocks(inputgen,
         name=name + "_c3",
         norm=norm_type,
         activation_fn='relu')
-    for i in xrange(n_gen_res):
+    for i in range(n_gen_res):
         conv_name = name + "_r{}".format(i + 1)
         res_output = build_resnet_block(
             res_input,
@@ -375,7 +375,7 @@ def build_discriminator_Nlayers(inputdisc,
         relufactor=0.2,
         use_bias=True)
     d_dims = d_base_dims
-    for i in xrange(d_nlayers - 1):
+    for i in range(d_nlayers - 1):
         conv_name = name + "_c{}".format(i + 2)
         d_dims *= 2
         dis_output = conv2d(
diff --git a/PaddleCV/gan/network/Pix2pix_network.py b/PaddleCV/gan/network/Pix2pix_network.py
index 6ba949d4e05d06a7b9ac15a6c48326b7334e1c67..d7c93b98697a513e8a1c0c8d3f1cad96f3ba3741 100644
--- a/PaddleCV/gan/network/Pix2pix_network.py
+++ b/PaddleCV/gan/network/Pix2pix_network.py
@@ -162,7 +162,7 @@ def build_generator_resnet_blocks(inputgen,
         name=name + "_c3",
         norm=norm_type,
         activation_fn='relu')
-    for i in xrange(n_gen_res):
+    for i in range(n_gen_res):
         conv_name = name + "_r{}".format(i + 1)
         res_output = build_resnet_block(
             res_input,
@@ -494,7 +494,7 @@ def build_discriminator_Nlayers(inputdisc,
         relufactor=0.2,
         use_bias=True)
     d_dims = d_base_dims
-    for i in xrange(d_nlayers - 1):
+    for i in range(d_nlayers - 1):
         conv_name = name + "_c{}".format(i + 2)
         d_dims *= 2
         dis_output = conv2d(
diff --git a/PaddleCV/gan/scripts/infer_cyclegan.sh b/PaddleCV/gan/scripts/infer_cyclegan.sh
index c6b31b4038d4b75775211e203c9fed3ff8264598..c23da33466de1684a2b7144e2038dac24e65c7d8 100644
--- a/PaddleCV/gan/scripts/infer_cyclegan.sh
+++ b/PaddleCV/gan/scripts/infer_cyclegan.sh
@@ -1 +1 @@
-python infer.py --init_model output/checkpoints/199/ --input data/cityscapes/testA/* --input_style A --model_net cyclegan --net_G resnet_6block  --g_bash_dims 32
+python infer.py --init_model output/checkpoints/199/ --input "data/cityscapes/testA/*" --input_style A --model_net cyclegan --net_G resnet_6block  --g_bash_dims 32
diff --git a/PaddleCV/gan/scripts/infer_pix2pix.sh b/PaddleCV/gan/scripts/infer_pix2pix.sh
index 6a8bafbbb9779a71219baf5b1daeccc838bbc799..99db1e1b066ce57560a28b122a5cbcbed25142d0 100644
--- a/PaddleCV/gan/scripts/infer_pix2pix.sh
+++ b/PaddleCV/gan/scripts/infer_pix2pix.sh
@@ -1 +1 @@
-python infer.py --init_model output/chechpoints/199/ --input data/cityscapes/testB/* --model_net Pix2pix --net_G unet_256
+python infer.py --init_model output/chechpoints/199/ --input "data/cityscapes/testB/*" --model_net Pix2pix --net_G unet_256
diff --git a/PaddleCV/gan/trainer/CycleGAN.py b/PaddleCV/gan/trainer/CycleGAN.py
index 56b10c334eb9d789ae2bf440fce5f3b7dd90fb45..61145216297031fe14be046cd1997ba8f0a51f6a 100644
--- a/PaddleCV/gan/trainer/CycleGAN.py
+++ b/PaddleCV/gan/trainer/CycleGAN.py
@@ -91,10 +91,10 @@ class GTrainer():
             optimizer = fluid.optimizer.Adam(
                 learning_rate=fluid.layers.piecewise_decay(
                     boundaries=[99 * step_per_epoch] +
-                    [x * step_per_epoch for x in xrange(100, cfg.epoch - 1)],
+                    [x * step_per_epoch for x in range(100, cfg.epoch - 1)],
                     values=[lr] + [
                         lr * (1.0 - (x - 99.0) / 101.0)
-                        for x in xrange(100, cfg.epoch)
+                        for x in range(100, cfg.epoch)
                     ]),
                 beta1=0.5,
                 beta2=0.999,
@@ -125,10 +125,10 @@ class DATrainer():
             optimizer = fluid.optimizer.Adam(
                 learning_rate=fluid.layers.piecewise_decay(
                     boundaries=[99 * step_per_epoch] +
-                    [x * step_per_epoch for x in xrange(100, cfg.epoch - 1)],
+                    [x * step_per_epoch for x in range(100, cfg.epoch - 1)],
                     values=[lr] + [
                         lr * (1.0 - (x - 99.0) / 101.0)
-                        for x in xrange(100, cfg.epoch)
+                        for x in range(100, cfg.epoch)
                     ]),
                 beta1=0.5,
                 beta2=0.999,
@@ -158,10 +158,10 @@ class DBTrainer():
             optimizer = fluid.optimizer.Adam(
                 learning_rate=fluid.layers.piecewise_decay(
                     boundaries=[99 * step_per_epoch] +
-                    [x * step_per_epoch for x in xrange(100, cfg.epoch - 1)],
+                    [x * step_per_epoch for x in range(100, cfg.epoch - 1)],
                     values=[lr] + [
                         lr * (1.0 - (x - 99.0) / 101.0)
-                        for x in xrange(100, cfg.epoch)
+                        for x in range(100, cfg.epoch)
                     ]),
                 beta1=0.5,
                 beta2=0.999,