diff --git a/ppgan/models/basicvsr_model.py b/ppgan/models/basicvsr_model.py
index b47effb82f5186aaf93cc98c542cc91e38f98c59..70b3eb1075b3dc4e7193da7a802e7d1a7825a8f1 100644
--- a/ppgan/models/basicvsr_model.py
+++ b/ppgan/models/basicvsr_model.py
@@ -18,7 +18,7 @@ import paddle.nn as nn
 from .builder import MODELS
 from .sr_model import BaseSRModel
 from .generators.iconvsr import EDVRFeatureExtractor
-from .generators.basicvsr import ResidualBlockNoBN, PixelShufflePack, SPyNet 
+from .generators.basicvsr import ResidualBlockNoBN, PixelShufflePack, SPyNet
 from ..modules.init import reset_parameters
 from ..utils.visual import tensor2img
 
@@ -74,10 +74,10 @@ class BasicVSRModel(BaseSRModel):
         self.visual_items['output'] = self.output[:, 0, :, :, :]
         # pixel loss
         loss_pixel = self.pixel_criterion(self.output, self.gt)
-        
+
         loss_pixel.backward()
         optims['optim'].step()
-        
+
         self.losses['loss_pixel'] = loss_pixel
 
         self.current_iter += 1
@@ -91,8 +91,11 @@ class BasicVSRModel(BaseSRModel):
 
         out_img = []
         gt_img = []
-        for out_tensor, gt_tensor in zip(self.output[0], self.gt[0]):
-            # print(out_tensor.shape, gt_tensor.shape)
+
+        _, t, _, _, _ = self.gt.shape
+        for i in range(t):
+            out_tensor = self.output[0, i]
+            gt_tensor = self.gt[0, i]
             out_img.append(tensor2img(out_tensor, (0., 1.)))
             gt_img.append(tensor2img(gt_tensor, (0., 1.)))
 
@@ -103,10 +106,12 @@ class BasicVSRModel(BaseSRModel):
 
 def init_basicvsr_weight(net):
     for m in net.children():
-        if hasattr(m, 'weight') and not isinstance(m, (nn.BatchNorm, nn.BatchNorm2D)):
+        if hasattr(m,
+                   'weight') and not isinstance(m,
+                                                (nn.BatchNorm, nn.BatchNorm2D)):
             reset_parameters(m)
             continue
 
-        if (not isinstance(
-                    m, (ResidualBlockNoBN, PixelShufflePack, SPyNet, EDVRFeatureExtractor))):
+        if (not isinstance(m, (ResidualBlockNoBN, PixelShufflePack, SPyNet,
+                               EDVRFeatureExtractor))):
             init_basicvsr_weight(m)