@@ -1715,7 +1715,7 @@ def forward(self, input_data, weights):
1715
1715
input_data , weights , stride = self .stride , padding = self .padding , groups = self .groups
1716
1716
)
1717
1717
1718
- model = FunctionalConv1D (). eval ()
1718
+ model = FunctionalConv1D ()
1719
1719
input_shape = [
1720
1720
(1 , in_channels , width ),
1721
1721
(out_channels , int (in_channels / groups ), kernel_size ),
@@ -1790,7 +1790,7 @@ def forward(self, input_data, weights):
1790
1790
input_data , weights , stride = self .stride , padding = self .padding , groups = self .groups
1791
1791
)
1792
1792
1793
- model = FunctionalConv2D (). eval ()
1793
+ model = FunctionalConv2D ()
1794
1794
1795
1795
input_shape = [
1796
1796
(1 , in_channels , height , width ),
@@ -1868,7 +1868,7 @@ def forward(self, input_data, weights):
1868
1868
input_data , weights , stride = self .stride , padding = self .padding , groups = self .groups
1869
1869
)
1870
1870
1871
- model = FunctionalConv3D (). eval ()
1871
+ model = FunctionalConv3D ()
1872
1872
input_shape = [
1873
1873
(1 , in_channels , depth , height , width ),
1874
1874
(out_channels , int (in_channels / groups ), kernel_size , kernel_size , kernel_size ),
0 commit comments