@@ -1715,7 +1715,7 @@ def forward(self, input_data, weights):
17151715 input_data , weights , stride = self .stride , padding = self .padding , groups = self .groups
17161716 )
17171717
1718- model = FunctionalConv1D (). eval ()
1718+ model = FunctionalConv1D ()
17191719 input_shape = [
17201720 (1 , in_channels , width ),
17211721 (out_channels , int (in_channels / groups ), kernel_size ),
@@ -1790,7 +1790,7 @@ def forward(self, input_data, weights):
17901790 input_data , weights , stride = self .stride , padding = self .padding , groups = self .groups
17911791 )
17921792
1793- model = FunctionalConv2D (). eval ()
1793+ model = FunctionalConv2D ()
17941794
17951795 input_shape = [
17961796 (1 , in_channels , height , width ),
@@ -1868,7 +1868,7 @@ def forward(self, input_data, weights):
18681868 input_data , weights , stride = self .stride , padding = self .padding , groups = self .groups
18691869 )
18701870
1871- model = FunctionalConv3D (). eval ()
1871+ model = FunctionalConv3D ()
18721872 input_shape = [
18731873 (1 , in_channels , depth , height , width ),
18741874 (out_channels , int (in_channels / groups ), kernel_size , kernel_size , kernel_size ),
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