models/efficientnet_v2_l.py [801:834]:
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        features_15_conv_0 = self.features_15_conv_0(add_11)
        features_15_conv_1 = self.features_15_conv_1(features_15_conv_0)
        sigmoid_16 = torch.sigmoid(features_15_conv_1)
        mul_16 = features_15_conv_1.__mul__(sigmoid_16)
        features_15_conv_3 = self.features_15_conv_3(mul_16)
        features_15_conv_4 = self.features_15_conv_4(features_15_conv_3)
        add_12 = add_11.__add__(features_15_conv_4)
        features_16_conv_0 = self.features_16_conv_0(add_12)
        features_16_conv_1 = self.features_16_conv_1(features_16_conv_0)
        sigmoid_17 = torch.sigmoid(features_16_conv_1)
        mul_17 = features_16_conv_1.__mul__(sigmoid_17)
        features_16_conv_3 = self.features_16_conv_3(mul_17)
        features_16_conv_4 = self.features_16_conv_4(features_16_conv_3)
        add_13 = add_12.__add__(features_16_conv_4)
        features_17_conv_0 = self.features_17_conv_0(add_13)
        features_17_conv_1 = self.features_17_conv_1(features_17_conv_0)
        sigmoid_18 = torch.sigmoid(features_17_conv_1)
        mul_18 = features_17_conv_1.__mul__(sigmoid_18)
        features_17_conv_3 = self.features_17_conv_3(mul_18)
        features_17_conv_4 = self.features_17_conv_4(features_17_conv_3)
        add_14 = add_13.__add__(features_17_conv_4)
        features_18_conv_0 = self.features_18_conv_0(add_14)
        features_18_conv_1 = self.features_18_conv_1(features_18_conv_0)
        sigmoid_19 = torch.sigmoid(features_18_conv_1)
        mul_19 = features_18_conv_1.__mul__(sigmoid_19)
        features_18_conv_3 = self.features_18_conv_3(mul_19)
        features_18_conv_4 = self.features_18_conv_4(features_18_conv_3)
        add_15 = add_14.__add__(features_18_conv_4)
        features_19_conv_0 = self.features_19_conv_0(add_15)
        features_19_conv_1 = self.features_19_conv_1(features_19_conv_0)
        sigmoid_20 = torch.sigmoid(features_19_conv_1)
        mul_20 = features_19_conv_1.__mul__(sigmoid_20)
        features_19_conv_3 = self.features_19_conv_3(mul_20)
        features_19_conv_4 = self.features_19_conv_4(features_19_conv_3)
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models/efficientnet_v2_xl.py [999:1032]:
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        features_15_conv_0 = self.features_15_conv_0(add_11)
        features_15_conv_1 = self.features_15_conv_1(features_15_conv_0)
        sigmoid_16 = torch.sigmoid(features_15_conv_1)
        mul_16 = features_15_conv_1.__mul__(sigmoid_16)
        features_15_conv_3 = self.features_15_conv_3(mul_16)
        features_15_conv_4 = self.features_15_conv_4(features_15_conv_3)
        add_12 = add_11.__add__(features_15_conv_4)
        features_16_conv_0 = self.features_16_conv_0(add_12)
        features_16_conv_1 = self.features_16_conv_1(features_16_conv_0)
        sigmoid_17 = torch.sigmoid(features_16_conv_1)
        mul_17 = features_16_conv_1.__mul__(sigmoid_17)
        features_16_conv_3 = self.features_16_conv_3(mul_17)
        features_16_conv_4 = self.features_16_conv_4(features_16_conv_3)
        add_13 = add_12.__add__(features_16_conv_4)
        features_17_conv_0 = self.features_17_conv_0(add_13)
        features_17_conv_1 = self.features_17_conv_1(features_17_conv_0)
        sigmoid_18 = torch.sigmoid(features_17_conv_1)
        mul_18 = features_17_conv_1.__mul__(sigmoid_18)
        features_17_conv_3 = self.features_17_conv_3(mul_18)
        features_17_conv_4 = self.features_17_conv_4(features_17_conv_3)
        add_14 = add_13.__add__(features_17_conv_4)
        features_18_conv_0 = self.features_18_conv_0(add_14)
        features_18_conv_1 = self.features_18_conv_1(features_18_conv_0)
        sigmoid_19 = torch.sigmoid(features_18_conv_1)
        mul_19 = features_18_conv_1.__mul__(sigmoid_19)
        features_18_conv_3 = self.features_18_conv_3(mul_19)
        features_18_conv_4 = self.features_18_conv_4(features_18_conv_3)
        add_15 = add_14.__add__(features_18_conv_4)
        features_19_conv_0 = self.features_19_conv_0(add_15)
        features_19_conv_1 = self.features_19_conv_1(features_19_conv_0)
        sigmoid_20 = torch.sigmoid(features_19_conv_1)
        mul_20 = features_19_conv_1.__mul__(sigmoid_20)
        features_19_conv_3 = self.features_19_conv_3(mul_20)
        features_19_conv_4 = self.features_19_conv_4(features_19_conv_3)
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