models/efficientnet_v2_s.py [418:437]:
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        features_9_conv_0 = self.features_9_conv_0(add_6)
        features_9_conv_1 = self.features_9_conv_1(features_9_conv_0)
        sigmoid_10 = torch.sigmoid(features_9_conv_1)
        mul_10 = features_9_conv_1.__mul__(sigmoid_10)
        features_9_conv_3 = self.features_9_conv_3(mul_10)
        features_9_conv_4 = self.features_9_conv_4(features_9_conv_3)
        add_7 = add_6.__add__(features_9_conv_4)
        features_10_conv_0 = self.features_10_conv_0(add_7)
        features_10_conv_1 = self.features_10_conv_1(features_10_conv_0)
        sigmoid_11 = torch.sigmoid(features_10_conv_1)
        mul_11 = features_10_conv_1.__mul__(sigmoid_11)
        features_10_conv_3 = self.features_10_conv_3(mul_11)
        features_10_conv_4 = self.features_10_conv_4(features_10_conv_3)
        add_8 = add_7.__add__(features_10_conv_4)
        features_11_conv_0 = self.features_11_conv_0(add_8)
        features_11_conv_1 = self.features_11_conv_1(features_11_conv_0)
        sigmoid_12 = torch.sigmoid(features_11_conv_1)
        mul_12 = features_11_conv_1.__mul__(sigmoid_12)
        features_11_conv_3 = self.features_11_conv_3(mul_12)
        features_11_conv_4 = self.features_11_conv_4(features_11_conv_3)
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models/efficientnet_v2_xl.py [958:977]:
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        features_9_conv_0 = self.features_9_conv_0(add_6)
        features_9_conv_1 = self.features_9_conv_1(features_9_conv_0)
        sigmoid_10 = torch.sigmoid(features_9_conv_1)
        mul_10 = features_9_conv_1.__mul__(sigmoid_10)
        features_9_conv_3 = self.features_9_conv_3(mul_10)
        features_9_conv_4 = self.features_9_conv_4(features_9_conv_3)
        add_7 = add_6.__add__(features_9_conv_4)
        features_10_conv_0 = self.features_10_conv_0(add_7)
        features_10_conv_1 = self.features_10_conv_1(features_10_conv_0)
        sigmoid_11 = torch.sigmoid(features_10_conv_1)
        mul_11 = features_10_conv_1.__mul__(sigmoid_11)
        features_10_conv_3 = self.features_10_conv_3(mul_11)
        features_10_conv_4 = self.features_10_conv_4(features_10_conv_3)
        add_8 = add_7.__add__(features_10_conv_4)
        features_11_conv_0 = self.features_11_conv_0(add_8)
        features_11_conv_1 = self.features_11_conv_1(features_11_conv_0)
        sigmoid_12 = torch.sigmoid(features_11_conv_1)
        mul_12 = features_11_conv_1.__mul__(sigmoid_12)
        features_11_conv_3 = self.features_11_conv_3(mul_12)
        features_11_conv_4 = self.features_11_conv_4(features_11_conv_3)
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