models/efficientnet_v2_m.py [584:603]:
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        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)
        add_9 = add_8.__add__(features_11_conv_4)
        features_12_conv_0 = self.features_12_conv_0(add_9)
        features_12_conv_1 = self.features_12_conv_1(features_12_conv_0)
        sigmoid_13 = torch.sigmoid(features_12_conv_1)
        mul_13 = features_12_conv_1.__mul__(sigmoid_13)
        features_12_conv_3 = self.features_12_conv_3(mul_13)
        features_12_conv_4 = self.features_12_conv_4(features_12_conv_3)
        add_10 = add_9.__add__(features_12_conv_4)
        features_13_conv_0 = self.features_13_conv_0(add_10)
        features_13_conv_1 = self.features_13_conv_1(features_13_conv_0)
        sigmoid_14 = torch.sigmoid(features_13_conv_1)
        mul_14 = features_13_conv_1.__mul__(sigmoid_14)
        features_13_conv_3 = self.features_13_conv_3(mul_14)
        features_13_conv_4 = self.features_13_conv_4(features_13_conv_3)
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models/efficientnet_v2_xl.py [972:991]:
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        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)
        add_9 = add_8.__add__(features_11_conv_4)
        features_12_conv_0 = self.features_12_conv_0(add_9)
        features_12_conv_1 = self.features_12_conv_1(features_12_conv_0)
        sigmoid_13 = torch.sigmoid(features_12_conv_1)
        mul_13 = features_12_conv_1.__mul__(sigmoid_13)
        features_12_conv_3 = self.features_12_conv_3(mul_13)
        features_12_conv_4 = self.features_12_conv_4(features_12_conv_3)
        add_10 = add_9.__add__(features_12_conv_4)
        features_13_conv_0 = self.features_13_conv_0(add_10)
        features_13_conv_1 = self.features_13_conv_1(features_13_conv_0)
        sigmoid_14 = torch.sigmoid(features_13_conv_1)
        mul_14 = features_13_conv_1.__mul__(sigmoid_14)
        features_13_conv_3 = self.features_13_conv_3(mul_14)
        features_13_conv_4 = self.features_13_conv_4(features_13_conv_3)
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