diff --git a/model/IFNet.py b/model/IFNet.py
index 4270b2a..7b52c01 100644
--- a/model/IFNet.py
+++ b/model/IFNet.py
@@ -67,7 +67,7 @@ class IFBlock(nn.Module):
     def forward(self, x):
         if self.scale != 1:
             x = F.interpolate(x, scale_factor=1. / self.scale, mode="bilinear",
-                              align_corners=False, recompute_scale_factor=False)
+                              align_corners=False)
         x = self.conv0(x)
         x = self.res0(x)
         x = self.res1(x)
diff --git a/model/IFNet2F.py b/model/IFNet2F.py
index 802999b..b31a1b8 100644
--- a/model/IFNet2F.py
+++ b/model/IFNet2F.py
@@ -67,7 +67,7 @@ class IFBlock(nn.Module):
     def forward(self, x):
         if self.scale != 1:
             x = F.interpolate(x, scale_factor=1. / self.scale, mode="bilinear",
-                              align_corners=False, recompute_scale_factor=False)
+                              align_corners=False)
         x = self.conv0(x)
         x = self.res0(x)
         x = self.res1(x)
@@ -79,7 +79,7 @@ class IFBlock(nn.Module):
         flow = x # self.up(x)
         if self.scale != 1:
             flow = F.interpolate(flow, scale_factor=self.scale, mode="bilinear",
-                                 align_corners=False, recompute_scale_factor=False)
+                                 align_corners=False)
         return flow
 
 
@@ -92,7 +92,7 @@ class IFNet(nn.Module):
 
     def forward(self, x):
         x = F.interpolate(x, scale_factor=0.5, mode="bilinear",
-                          align_corners=False, recompute_scale_factor=False)
+                          align_corners=False)
         flow0 = self.block0(x)
         F1 = flow0
         warped_img0 = warp(x[:, :3], F1)
diff --git a/model/RIFE2F.py b/model/RIFE2F.py
index fca5661..feea1df 100644
--- a/model/RIFE2F.py
+++ b/model/RIFE2F.py
@@ -74,15 +74,15 @@ class ContextNet(nn.Module):
         f1 = warp(x, flow)
         x = self.conv2(x)
         flow = F.interpolate(flow, scale_factor=0.5, mode="bilinear",
-                             align_corners=False, recompute_scale_factor=False) * 0.5
+                             align_corners=False) * 0.5
         f2 = warp(x, flow)
         x = self.conv3(x)
         flow = F.interpolate(flow, scale_factor=0.5, mode="bilinear",
-                             align_corners=False, recompute_scale_factor=False) * 0.5
+                             align_corners=False) * 0.5
         f3 = warp(x, flow)
         x = self.conv4(x)
         flow = F.interpolate(flow, scale_factor=0.5, mode="bilinear",
-                             align_corners=False, recompute_scale_factor=False) * 0.5
+                             align_corners=False) * 0.5
         f4 = warp(x, flow)
         return [f1, f2, f3, f4]
 
@@ -185,7 +185,7 @@ class Model:
         img0 = imgs[:, :3]
         img1 = imgs[:, 3:]
         flow = F.interpolate(flow, scale_factor=2.0, mode="bilinear",
-	                     align_corners=False, recompute_scale_factor=False) * 2.0
+	                     align_corners=False) * 2.0
         c0 = self.contextnet(img0, flow)
         c1 = self.contextnet(img1, -flow)
         refine_output, warped_img0, warped_img1, warped_img0_gt, warped_img1_gt = self.fusionnet(