
import torch
import torch.nn
import torch.functional
import torch.nn.functional


class efficientnet_v2_m(torch.nn.Module):
    def __init__(self):
        super().__init__()

        self.features_0_0 = torch.nn.modules.conv.Conv2d(3, 24, 3, 2, 1, bias=False)
        self.features_0_1 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_1_conv_0 = torch.nn.modules.conv.Conv2d(24, 24, 3, 1, 1, bias=False)
        self.features_1_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_1_conv_3 = torch.nn.modules.conv.Conv2d(24, 24, 1, 1, 0, bias=False)
        self.features_1_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_2_conv_0 = torch.nn.modules.conv.Conv2d(24, 24, 3, 1, 1, bias=False)
        self.features_2_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_2_conv_3 = torch.nn.modules.conv.Conv2d(24, 24, 1, 1, 0, bias=False)
        self.features_2_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_3_conv_0 = torch.nn.modules.conv.Conv2d(24, 24, 3, 1, 1, bias=False)
        self.features_3_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_3_conv_3 = torch.nn.modules.conv.Conv2d(24, 24, 1, 1, 0, bias=False)
        self.features_3_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(24)
        self.features_4_conv_0 = torch.nn.modules.conv.Conv2d(24, 96, 3, 2, 1, bias=False)
        self.features_4_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(96)
        self.features_4_conv_3 = torch.nn.modules.conv.Conv2d(96, 48, 1, 1, 0, bias=False)
        self.features_4_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(48)
        self.features_5_conv_0 = torch.nn.modules.conv.Conv2d(48, 192, 3, 1, 1, bias=False)
        self.features_5_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(192)
        self.features_5_conv_3 = torch.nn.modules.conv.Conv2d(192, 48, 1, 1, 0, bias=False)
        self.features_5_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(48)
        self.features_6_conv_0 = torch.nn.modules.conv.Conv2d(48, 192, 3, 1, 1, bias=False)
        self.features_6_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(192)
        self.features_6_conv_3 = torch.nn.modules.conv.Conv2d(192, 48, 1, 1, 0, bias=False)
        self.features_6_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(48)
        self.features_7_conv_0 = torch.nn.modules.conv.Conv2d(48, 192, 3, 1, 1, bias=False)
        self.features_7_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(192)
        self.features_7_conv_3 = torch.nn.modules.conv.Conv2d(192, 48, 1, 1, 0, bias=False)
        self.features_7_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(48)
        self.features_8_conv_0 = torch.nn.modules.conv.Conv2d(48, 192, 3, 1, 1, bias=False)
        self.features_8_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(192)
        self.features_8_conv_3 = torch.nn.modules.conv.Conv2d(192, 48, 1, 1, 0, bias=False)
        self.features_8_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(48)
        self.features_9_conv_0 = torch.nn.modules.conv.Conv2d(48, 192, 3, 2, 1, bias=False)
        self.features_9_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(192)
        self.features_9_conv_3 = torch.nn.modules.conv.Conv2d(192, 80, 1, 1, 0, bias=False)
        self.features_9_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(80)
        self.features_10_conv_0 = torch.nn.modules.conv.Conv2d(80, 320, 3, 1, 1, bias=False)
        self.features_10_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(320)
        self.features_10_conv_3 = torch.nn.modules.conv.Conv2d(320, 80, 1, 1, 0, bias=False)
        self.features_10_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(80)
        self.features_11_conv_0 = torch.nn.modules.conv.Conv2d(80, 320, 3, 1, 1, bias=False)
        self.features_11_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(320)
        self.features_11_conv_3 = torch.nn.modules.conv.Conv2d(320, 80, 1, 1, 0, bias=False)
        self.features_11_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(80)
        self.features_12_conv_0 = torch.nn.modules.conv.Conv2d(80, 320, 3, 1, 1, bias=False)
        self.features_12_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(320)
        self.features_12_conv_3 = torch.nn.modules.conv.Conv2d(320, 80, 1, 1, 0, bias=False)
        self.features_12_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(80)
        self.features_13_conv_0 = torch.nn.modules.conv.Conv2d(80, 320, 3, 1, 1, bias=False)
        self.features_13_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(320)
        self.features_13_conv_3 = torch.nn.modules.conv.Conv2d(320, 80, 1, 1, 0, bias=False)
        self.features_13_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(80)
        self.features_14_conv_0 = torch.nn.modules.conv.Conv2d(80, 320, 1, 1, 0, bias=False)
        self.features_14_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(320)
        self.features_14_conv_3 = torch.nn.modules.conv.Conv2d(320, 320, 3, 2, 1, groups=320, bias=False)
        self.features_14_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(320)
        self.features_14_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_14_conv_6_fc_0 = torch.nn.modules.linear.Linear(320, 24)
        self.features_14_conv_6_fc_2 = torch.nn.modules.linear.Linear(24, 320)
        self.features_14_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_14_conv_7 = torch.nn.modules.conv.Conv2d(320, 160, 1, 1, 0, bias=False)
        self.features_14_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_15_conv_0 = torch.nn.modules.conv.Conv2d(160, 640, 1, 1, 0, bias=False)
        self.features_15_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_15_conv_3 = torch.nn.modules.conv.Conv2d(640, 640, 3, 1, 1, groups=640, bias=False)
        self.features_15_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_15_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_15_conv_6_fc_0 = torch.nn.modules.linear.Linear(640, 40)
        self.features_15_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 640)
        self.features_15_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_15_conv_7 = torch.nn.modules.conv.Conv2d(640, 160, 1, 1, 0, bias=False)
        self.features_15_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_16_conv_0 = torch.nn.modules.conv.Conv2d(160, 640, 1, 1, 0, bias=False)
        self.features_16_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_16_conv_3 = torch.nn.modules.conv.Conv2d(640, 640, 3, 1, 1, groups=640, bias=False)
        self.features_16_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_16_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_16_conv_6_fc_0 = torch.nn.modules.linear.Linear(640, 40)
        self.features_16_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 640)
        self.features_16_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_16_conv_7 = torch.nn.modules.conv.Conv2d(640, 160, 1, 1, 0, bias=False)
        self.features_16_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_17_conv_0 = torch.nn.modules.conv.Conv2d(160, 640, 1, 1, 0, bias=False)
        self.features_17_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_17_conv_3 = torch.nn.modules.conv.Conv2d(640, 640, 3, 1, 1, groups=640, bias=False)
        self.features_17_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_17_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_17_conv_6_fc_0 = torch.nn.modules.linear.Linear(640, 40)
        self.features_17_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 640)
        self.features_17_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_17_conv_7 = torch.nn.modules.conv.Conv2d(640, 160, 1, 1, 0, bias=False)
        self.features_17_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_18_conv_0 = torch.nn.modules.conv.Conv2d(160, 640, 1, 1, 0, bias=False)
        self.features_18_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_18_conv_3 = torch.nn.modules.conv.Conv2d(640, 640, 3, 1, 1, groups=640, bias=False)
        self.features_18_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_18_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_18_conv_6_fc_0 = torch.nn.modules.linear.Linear(640, 40)
        self.features_18_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 640)
        self.features_18_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_18_conv_7 = torch.nn.modules.conv.Conv2d(640, 160, 1, 1, 0, bias=False)
        self.features_18_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_19_conv_0 = torch.nn.modules.conv.Conv2d(160, 640, 1, 1, 0, bias=False)
        self.features_19_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_19_conv_3 = torch.nn.modules.conv.Conv2d(640, 640, 3, 1, 1, groups=640, bias=False)
        self.features_19_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_19_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_19_conv_6_fc_0 = torch.nn.modules.linear.Linear(640, 40)
        self.features_19_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 640)
        self.features_19_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_19_conv_7 = torch.nn.modules.conv.Conv2d(640, 160, 1, 1, 0, bias=False)
        self.features_19_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_20_conv_0 = torch.nn.modules.conv.Conv2d(160, 640, 1, 1, 0, bias=False)
        self.features_20_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_20_conv_3 = torch.nn.modules.conv.Conv2d(640, 640, 3, 1, 1, groups=640, bias=False)
        self.features_20_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(640)
        self.features_20_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_20_conv_6_fc_0 = torch.nn.modules.linear.Linear(640, 40)
        self.features_20_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 640)
        self.features_20_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_20_conv_7 = torch.nn.modules.conv.Conv2d(640, 160, 1, 1, 0, bias=False)
        self.features_20_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(160)
        self.features_21_conv_0 = torch.nn.modules.conv.Conv2d(160, 960, 1, 1, 0, bias=False)
        self.features_21_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(960)
        self.features_21_conv_3 = torch.nn.modules.conv.Conv2d(960, 960, 3, 1, 1, groups=960, bias=False)
        self.features_21_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(960)
        self.features_21_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_21_conv_6_fc_0 = torch.nn.modules.linear.Linear(960, 40)
        self.features_21_conv_6_fc_2 = torch.nn.modules.linear.Linear(40, 960)
        self.features_21_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_21_conv_7 = torch.nn.modules.conv.Conv2d(960, 176, 1, 1, 0, bias=False)
        self.features_21_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_22_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_22_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_22_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_22_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_22_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_22_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_22_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_22_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_22_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_22_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_23_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_23_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_23_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_23_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_23_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_23_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_23_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_23_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_23_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_23_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_24_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_24_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_24_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_24_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_24_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_24_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_24_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_24_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_24_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_24_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_25_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_25_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_25_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_25_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_25_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_25_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_25_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_25_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_25_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_25_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_26_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_26_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_26_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_26_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_26_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_26_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_26_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_26_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_26_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_26_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_27_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_27_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_27_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_27_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_27_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_27_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_27_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_27_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_27_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_27_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_28_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_28_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_28_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_28_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_28_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_28_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_28_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_28_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_28_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_28_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_29_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_29_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_29_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_29_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_29_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_29_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_29_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_29_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_29_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_29_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_30_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_30_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_30_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_30_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_30_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_30_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_30_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_30_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_30_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_30_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_31_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_31_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_31_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_31_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_31_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_31_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_31_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_31_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_31_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_31_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_32_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_32_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_32_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_32_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_32_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_32_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_32_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_32_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_32_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_32_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_33_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_33_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_33_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_33_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_33_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_33_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_33_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_33_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_33_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_33_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_34_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_34_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_34_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 1, 1, groups=1056, bias=False)
        self.features_34_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_34_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_34_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_34_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_34_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_34_conv_7 = torch.nn.modules.conv.Conv2d(1056, 176, 1, 1, 0, bias=False)
        self.features_34_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(176)
        self.features_35_conv_0 = torch.nn.modules.conv.Conv2d(176, 1056, 1, 1, 0, bias=False)
        self.features_35_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_35_conv_3 = torch.nn.modules.conv.Conv2d(1056, 1056, 3, 2, 1, groups=1056, bias=False)
        self.features_35_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1056)
        self.features_35_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_35_conv_6_fc_0 = torch.nn.modules.linear.Linear(1056, 48)
        self.features_35_conv_6_fc_2 = torch.nn.modules.linear.Linear(48, 1056)
        self.features_35_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_35_conv_7 = torch.nn.modules.conv.Conv2d(1056, 304, 1, 1, 0, bias=False)
        self.features_35_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_36_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_36_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_36_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_36_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_36_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_36_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_36_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_36_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_36_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_36_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_37_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_37_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_37_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_37_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_37_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_37_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_37_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_37_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_37_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_37_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_38_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_38_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_38_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_38_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_38_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_38_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_38_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_38_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_38_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_38_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_39_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_39_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_39_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_39_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_39_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_39_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_39_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_39_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_39_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_39_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_40_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_40_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_40_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_40_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_40_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_40_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_40_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_40_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_40_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_40_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_41_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_41_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_41_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_41_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_41_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_41_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_41_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_41_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_41_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_41_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_42_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_42_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_42_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_42_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_42_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_42_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_42_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_42_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_42_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_42_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_43_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_43_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_43_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_43_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_43_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_43_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_43_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_43_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_43_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_43_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_44_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_44_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_44_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_44_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_44_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_44_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_44_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_44_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_44_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_44_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_45_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_45_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_45_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_45_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_45_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_45_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_45_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_45_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_45_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_45_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_46_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_46_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_46_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_46_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_46_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_46_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_46_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_46_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_46_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_46_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_47_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_47_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_47_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_47_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_47_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_47_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_47_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_47_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_47_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_47_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_48_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_48_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_48_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_48_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_48_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_48_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_48_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_48_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_48_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_48_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_49_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_49_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_49_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_49_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_49_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_49_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_49_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_49_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_49_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_49_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_50_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_50_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_50_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_50_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_50_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_50_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_50_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_50_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_50_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_50_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_51_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_51_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_51_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_51_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_51_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_51_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_51_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_51_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_51_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_51_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_52_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_52_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_52_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_52_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_52_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_52_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_52_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_52_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_52_conv_7 = torch.nn.modules.conv.Conv2d(1824, 304, 1, 1, 0, bias=False)
        self.features_52_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(304)
        self.features_53_conv_0 = torch.nn.modules.conv.Conv2d(304, 1824, 1, 1, 0, bias=False)
        self.features_53_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_53_conv_3 = torch.nn.modules.conv.Conv2d(1824, 1824, 3, 1, 1, groups=1824, bias=False)
        self.features_53_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(1824)
        self.features_53_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_53_conv_6_fc_0 = torch.nn.modules.linear.Linear(1824, 80)
        self.features_53_conv_6_fc_2 = torch.nn.modules.linear.Linear(80, 1824)
        self.features_53_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_53_conv_7 = torch.nn.modules.conv.Conv2d(1824, 512, 1, 1, 0, bias=False)
        self.features_53_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(512)
        self.features_54_conv_0 = torch.nn.modules.conv.Conv2d(512, 3072, 1, 1, 0, bias=False)
        self.features_54_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_54_conv_3 = torch.nn.modules.conv.Conv2d(3072, 3072, 3, 1, 1, groups=3072, bias=False)
        self.features_54_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_54_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_54_conv_6_fc_0 = torch.nn.modules.linear.Linear(3072, 128)
        self.features_54_conv_6_fc_2 = torch.nn.modules.linear.Linear(128, 3072)
        self.features_54_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_54_conv_7 = torch.nn.modules.conv.Conv2d(3072, 512, 1, 1, 0, bias=False)
        self.features_54_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(512)
        self.features_55_conv_0 = torch.nn.modules.conv.Conv2d(512, 3072, 1, 1, 0, bias=False)
        self.features_55_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_55_conv_3 = torch.nn.modules.conv.Conv2d(3072, 3072, 3, 1, 1, groups=3072, bias=False)
        self.features_55_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_55_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_55_conv_6_fc_0 = torch.nn.modules.linear.Linear(3072, 128)
        self.features_55_conv_6_fc_2 = torch.nn.modules.linear.Linear(128, 3072)
        self.features_55_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_55_conv_7 = torch.nn.modules.conv.Conv2d(3072, 512, 1, 1, 0, bias=False)
        self.features_55_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(512)
        self.features_56_conv_0 = torch.nn.modules.conv.Conv2d(512, 3072, 1, 1, 0, bias=False)
        self.features_56_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_56_conv_3 = torch.nn.modules.conv.Conv2d(3072, 3072, 3, 1, 1, groups=3072, bias=False)
        self.features_56_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_56_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_56_conv_6_fc_0 = torch.nn.modules.linear.Linear(3072, 128)
        self.features_56_conv_6_fc_2 = torch.nn.modules.linear.Linear(128, 3072)
        self.features_56_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_56_conv_7 = torch.nn.modules.conv.Conv2d(3072, 512, 1, 1, 0, bias=False)
        self.features_56_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(512)
        self.features_57_conv_0 = torch.nn.modules.conv.Conv2d(512, 3072, 1, 1, 0, bias=False)
        self.features_57_conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_57_conv_3 = torch.nn.modules.conv.Conv2d(3072, 3072, 3, 1, 1, groups=3072, bias=False)
        self.features_57_conv_4 = torch.nn.modules.batchnorm.BatchNorm2d(3072)
        self.features_57_conv_6_avg_pool = torch.nn.modules.pooling.AdaptiveAvgPool2d(1)
        self.features_57_conv_6_fc_0 = torch.nn.modules.linear.Linear(3072, 128)
        self.features_57_conv_6_fc_2 = torch.nn.modules.linear.Linear(128, 3072)
        self.features_57_conv_6_fc_3 = torch.nn.modules.activation.Sigmoid()
        self.features_57_conv_7 = torch.nn.modules.conv.Conv2d(3072, 512, 1, 1, 0, bias=False)
        self.features_57_conv_8 = torch.nn.modules.batchnorm.BatchNorm2d(512)
        self.conv_0 = torch.nn.modules.conv.Conv2d(512, 1792, 1, 1, 0, bias=False)
        self.conv_1 = torch.nn.modules.batchnorm.BatchNorm2d(1792)
        self.avgpool = torch.nn.modules.pooling.AdaptiveAvgPool2d((1, 1))
        self.classifier = torch.nn.modules.linear.Linear(1792, 1000)

    def forward(self, input_1):
        features_0_0 = self.features_0_0(input_1)
        features_0_1 = self.features_0_1(features_0_0)
        sigmoid_1 = torch.sigmoid(features_0_1)
        mul_1 = features_0_1.__mul__(sigmoid_1)
        features_1_conv_0 = self.features_1_conv_0(mul_1)
        features_1_conv_1 = self.features_1_conv_1(features_1_conv_0)
        sigmoid_2 = torch.sigmoid(features_1_conv_1)
        mul_2 = features_1_conv_1.__mul__(sigmoid_2)
        features_1_conv_3 = self.features_1_conv_3(mul_2)
        features_1_conv_4 = self.features_1_conv_4(features_1_conv_3)
        add_1 = mul_1.__add__(features_1_conv_4)
        features_2_conv_0 = self.features_2_conv_0(add_1)
        features_2_conv_1 = self.features_2_conv_1(features_2_conv_0)
        sigmoid_3 = torch.sigmoid(features_2_conv_1)
        mul_3 = features_2_conv_1.__mul__(sigmoid_3)
        features_2_conv_3 = self.features_2_conv_3(mul_3)
        features_2_conv_4 = self.features_2_conv_4(features_2_conv_3)
        add_2 = add_1.__add__(features_2_conv_4)
        features_3_conv_0 = self.features_3_conv_0(add_2)
        features_3_conv_1 = self.features_3_conv_1(features_3_conv_0)
        sigmoid_4 = torch.sigmoid(features_3_conv_1)
        mul_4 = features_3_conv_1.__mul__(sigmoid_4)
        features_3_conv_3 = self.features_3_conv_3(mul_4)
        features_3_conv_4 = self.features_3_conv_4(features_3_conv_3)
        add_3 = add_2.__add__(features_3_conv_4)
        features_4_conv_0 = self.features_4_conv_0(add_3)
        features_4_conv_1 = self.features_4_conv_1(features_4_conv_0)
        sigmoid_5 = torch.sigmoid(features_4_conv_1)
        mul_5 = features_4_conv_1.__mul__(sigmoid_5)
        features_4_conv_3 = self.features_4_conv_3(mul_5)
        features_4_conv_4 = self.features_4_conv_4(features_4_conv_3)
        features_5_conv_0 = self.features_5_conv_0(features_4_conv_4)
        features_5_conv_1 = self.features_5_conv_1(features_5_conv_0)
        sigmoid_6 = torch.sigmoid(features_5_conv_1)
        mul_6 = features_5_conv_1.__mul__(sigmoid_6)
        features_5_conv_3 = self.features_5_conv_3(mul_6)
        features_5_conv_4 = self.features_5_conv_4(features_5_conv_3)
        add_4 = features_4_conv_4.__add__(features_5_conv_4)
        features_6_conv_0 = self.features_6_conv_0(add_4)
        features_6_conv_1 = self.features_6_conv_1(features_6_conv_0)
        sigmoid_7 = torch.sigmoid(features_6_conv_1)
        mul_7 = features_6_conv_1.__mul__(sigmoid_7)
        features_6_conv_3 = self.features_6_conv_3(mul_7)
        features_6_conv_4 = self.features_6_conv_4(features_6_conv_3)
        add_5 = add_4.__add__(features_6_conv_4)
        features_7_conv_0 = self.features_7_conv_0(add_5)
        features_7_conv_1 = self.features_7_conv_1(features_7_conv_0)
        sigmoid_8 = torch.sigmoid(features_7_conv_1)
        mul_8 = features_7_conv_1.__mul__(sigmoid_8)
        features_7_conv_3 = self.features_7_conv_3(mul_8)
        features_7_conv_4 = self.features_7_conv_4(features_7_conv_3)
        add_6 = add_5.__add__(features_7_conv_4)
        features_8_conv_0 = self.features_8_conv_0(add_6)
        features_8_conv_1 = self.features_8_conv_1(features_8_conv_0)
        sigmoid_9 = torch.sigmoid(features_8_conv_1)
        mul_9 = features_8_conv_1.__mul__(sigmoid_9)
        features_8_conv_3 = self.features_8_conv_3(mul_9)
        features_8_conv_4 = self.features_8_conv_4(features_8_conv_3)
        add_7 = add_6.__add__(features_8_conv_4)
        features_9_conv_0 = self.features_9_conv_0(add_7)
        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)
        features_10_conv_0 = self.features_10_conv_0(features_9_conv_4)
        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 = features_9_conv_4.__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)
        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)
        add_11 = add_10.__add__(features_13_conv_4)
        features_14_conv_0 = self.features_14_conv_0(add_11)
        features_14_conv_1 = self.features_14_conv_1(features_14_conv_0)
        sigmoid_15 = torch.sigmoid(features_14_conv_1)
        mul_15 = features_14_conv_1.__mul__(sigmoid_15)
        features_14_conv_3 = self.features_14_conv_3(mul_15)
        features_14_conv_4 = self.features_14_conv_4(features_14_conv_3)
        sigmoid_16 = torch.sigmoid(features_14_conv_4)
        mul_16 = features_14_conv_4.__mul__(sigmoid_16)
        size_1 = mul_16.size()
        features_14_conv_6_avg_pool = self.features_14_conv_6_avg_pool(mul_16)
        view_1 = features_14_conv_6_avg_pool.view(size_1[0], size_1[1])
        features_14_conv_6_fc_0 = self.features_14_conv_6_fc_0(view_1)
        sigmoid_17 = torch.sigmoid(features_14_conv_6_fc_0)
        mul_17 = features_14_conv_6_fc_0.__mul__(sigmoid_17)
        features_14_conv_6_fc_2 = self.features_14_conv_6_fc_2(mul_17)
        features_14_conv_6_fc_3 = self.features_14_conv_6_fc_3(features_14_conv_6_fc_2)
        view_2 = features_14_conv_6_fc_3.view(size_1[0], size_1[1], 1, 1)
        mul_18 = mul_16.__mul__(view_2)
        features_14_conv_7 = self.features_14_conv_7(mul_18)
        features_14_conv_8 = self.features_14_conv_8(features_14_conv_7)
        features_15_conv_0 = self.features_15_conv_0(features_14_conv_8)
        features_15_conv_1 = self.features_15_conv_1(features_15_conv_0)
        sigmoid_18 = torch.sigmoid(features_15_conv_1)
        mul_19 = features_15_conv_1.__mul__(sigmoid_18)
        features_15_conv_3 = self.features_15_conv_3(mul_19)
        features_15_conv_4 = self.features_15_conv_4(features_15_conv_3)
        sigmoid_19 = torch.sigmoid(features_15_conv_4)
        mul_20 = features_15_conv_4.__mul__(sigmoid_19)
        size_2 = mul_20.size()
        features_15_conv_6_avg_pool = self.features_15_conv_6_avg_pool(mul_20)
        view_3 = features_15_conv_6_avg_pool.view(size_2[0], size_2[1])
        features_15_conv_6_fc_0 = self.features_15_conv_6_fc_0(view_3)
        sigmoid_20 = torch.sigmoid(features_15_conv_6_fc_0)
        mul_21 = features_15_conv_6_fc_0.__mul__(sigmoid_20)
        features_15_conv_6_fc_2 = self.features_15_conv_6_fc_2(mul_21)
        features_15_conv_6_fc_3 = self.features_15_conv_6_fc_3(features_15_conv_6_fc_2)
        view_4 = features_15_conv_6_fc_3.view(size_2[0], size_2[1], 1, 1)
        mul_22 = mul_20.__mul__(view_4)
        features_15_conv_7 = self.features_15_conv_7(mul_22)
        features_15_conv_8 = self.features_15_conv_8(features_15_conv_7)
        add_12 = features_14_conv_8.__add__(features_15_conv_8)
        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_21 = torch.sigmoid(features_16_conv_1)
        mul_23 = features_16_conv_1.__mul__(sigmoid_21)
        features_16_conv_3 = self.features_16_conv_3(mul_23)
        features_16_conv_4 = self.features_16_conv_4(features_16_conv_3)
        sigmoid_22 = torch.sigmoid(features_16_conv_4)
        mul_24 = features_16_conv_4.__mul__(sigmoid_22)
        size_3 = mul_24.size()
        features_16_conv_6_avg_pool = self.features_16_conv_6_avg_pool(mul_24)
        view_5 = features_16_conv_6_avg_pool.view(size_3[0], size_3[1])
        features_16_conv_6_fc_0 = self.features_16_conv_6_fc_0(view_5)
        sigmoid_23 = torch.sigmoid(features_16_conv_6_fc_0)
        mul_25 = features_16_conv_6_fc_0.__mul__(sigmoid_23)
        features_16_conv_6_fc_2 = self.features_16_conv_6_fc_2(mul_25)
        features_16_conv_6_fc_3 = self.features_16_conv_6_fc_3(features_16_conv_6_fc_2)
        view_6 = features_16_conv_6_fc_3.view(size_3[0], size_3[1], 1, 1)
        mul_26 = mul_24.__mul__(view_6)
        features_16_conv_7 = self.features_16_conv_7(mul_26)
        features_16_conv_8 = self.features_16_conv_8(features_16_conv_7)
        add_13 = add_12.__add__(features_16_conv_8)
        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_24 = torch.sigmoid(features_17_conv_1)
        mul_27 = features_17_conv_1.__mul__(sigmoid_24)
        features_17_conv_3 = self.features_17_conv_3(mul_27)
        features_17_conv_4 = self.features_17_conv_4(features_17_conv_3)
        sigmoid_25 = torch.sigmoid(features_17_conv_4)
        mul_28 = features_17_conv_4.__mul__(sigmoid_25)
        size_4 = mul_28.size()
        features_17_conv_6_avg_pool = self.features_17_conv_6_avg_pool(mul_28)
        view_7 = features_17_conv_6_avg_pool.view(size_4[0], size_4[1])
        features_17_conv_6_fc_0 = self.features_17_conv_6_fc_0(view_7)
        sigmoid_26 = torch.sigmoid(features_17_conv_6_fc_0)
        mul_29 = features_17_conv_6_fc_0.__mul__(sigmoid_26)
        features_17_conv_6_fc_2 = self.features_17_conv_6_fc_2(mul_29)
        features_17_conv_6_fc_3 = self.features_17_conv_6_fc_3(features_17_conv_6_fc_2)
        view_8 = features_17_conv_6_fc_3.view(size_4[0], size_4[1], 1, 1)
        mul_30 = mul_28.__mul__(view_8)
        features_17_conv_7 = self.features_17_conv_7(mul_30)
        features_17_conv_8 = self.features_17_conv_8(features_17_conv_7)
        add_14 = add_13.__add__(features_17_conv_8)
        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_27 = torch.sigmoid(features_18_conv_1)
        mul_31 = features_18_conv_1.__mul__(sigmoid_27)
        features_18_conv_3 = self.features_18_conv_3(mul_31)
        features_18_conv_4 = self.features_18_conv_4(features_18_conv_3)
        sigmoid_28 = torch.sigmoid(features_18_conv_4)
        mul_32 = features_18_conv_4.__mul__(sigmoid_28)
        size_5 = mul_32.size()
        features_18_conv_6_avg_pool = self.features_18_conv_6_avg_pool(mul_32)
        view_9 = features_18_conv_6_avg_pool.view(size_5[0], size_5[1])
        features_18_conv_6_fc_0 = self.features_18_conv_6_fc_0(view_9)
        sigmoid_29 = torch.sigmoid(features_18_conv_6_fc_0)
        mul_33 = features_18_conv_6_fc_0.__mul__(sigmoid_29)
        features_18_conv_6_fc_2 = self.features_18_conv_6_fc_2(mul_33)
        features_18_conv_6_fc_3 = self.features_18_conv_6_fc_3(features_18_conv_6_fc_2)
        view_10 = features_18_conv_6_fc_3.view(size_5[0], size_5[1], 1, 1)
        mul_34 = mul_32.__mul__(view_10)
        features_18_conv_7 = self.features_18_conv_7(mul_34)
        features_18_conv_8 = self.features_18_conv_8(features_18_conv_7)
        add_15 = add_14.__add__(features_18_conv_8)
        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_30 = torch.sigmoid(features_19_conv_1)
        mul_35 = features_19_conv_1.__mul__(sigmoid_30)
        features_19_conv_3 = self.features_19_conv_3(mul_35)
        features_19_conv_4 = self.features_19_conv_4(features_19_conv_3)
        sigmoid_31 = torch.sigmoid(features_19_conv_4)
        mul_36 = features_19_conv_4.__mul__(sigmoid_31)
        size_6 = mul_36.size()
        features_19_conv_6_avg_pool = self.features_19_conv_6_avg_pool(mul_36)
        view_11 = features_19_conv_6_avg_pool.view(size_6[0], size_6[1])
        features_19_conv_6_fc_0 = self.features_19_conv_6_fc_0(view_11)
        sigmoid_32 = torch.sigmoid(features_19_conv_6_fc_0)
        mul_37 = features_19_conv_6_fc_0.__mul__(sigmoid_32)
        features_19_conv_6_fc_2 = self.features_19_conv_6_fc_2(mul_37)
        features_19_conv_6_fc_3 = self.features_19_conv_6_fc_3(features_19_conv_6_fc_2)
        view_12 = features_19_conv_6_fc_3.view(size_6[0], size_6[1], 1, 1)
        mul_38 = mul_36.__mul__(view_12)
        features_19_conv_7 = self.features_19_conv_7(mul_38)
        features_19_conv_8 = self.features_19_conv_8(features_19_conv_7)
        add_16 = add_15.__add__(features_19_conv_8)
        features_20_conv_0 = self.features_20_conv_0(add_16)
        features_20_conv_1 = self.features_20_conv_1(features_20_conv_0)
        sigmoid_33 = torch.sigmoid(features_20_conv_1)
        mul_39 = features_20_conv_1.__mul__(sigmoid_33)
        features_20_conv_3 = self.features_20_conv_3(mul_39)
        features_20_conv_4 = self.features_20_conv_4(features_20_conv_3)
        sigmoid_34 = torch.sigmoid(features_20_conv_4)
        mul_40 = features_20_conv_4.__mul__(sigmoid_34)
        size_7 = mul_40.size()
        features_20_conv_6_avg_pool = self.features_20_conv_6_avg_pool(mul_40)
        view_13 = features_20_conv_6_avg_pool.view(size_7[0], size_7[1])
        features_20_conv_6_fc_0 = self.features_20_conv_6_fc_0(view_13)
        sigmoid_35 = torch.sigmoid(features_20_conv_6_fc_0)
        mul_41 = features_20_conv_6_fc_0.__mul__(sigmoid_35)
        features_20_conv_6_fc_2 = self.features_20_conv_6_fc_2(mul_41)
        features_20_conv_6_fc_3 = self.features_20_conv_6_fc_3(features_20_conv_6_fc_2)
        view_14 = features_20_conv_6_fc_3.view(size_7[0], size_7[1], 1, 1)
        mul_42 = mul_40.__mul__(view_14)
        features_20_conv_7 = self.features_20_conv_7(mul_42)
        features_20_conv_8 = self.features_20_conv_8(features_20_conv_7)
        add_17 = add_16.__add__(features_20_conv_8)
        features_21_conv_0 = self.features_21_conv_0(add_17)
        features_21_conv_1 = self.features_21_conv_1(features_21_conv_0)
        sigmoid_36 = torch.sigmoid(features_21_conv_1)
        mul_43 = features_21_conv_1.__mul__(sigmoid_36)
        features_21_conv_3 = self.features_21_conv_3(mul_43)
        features_21_conv_4 = self.features_21_conv_4(features_21_conv_3)
        sigmoid_37 = torch.sigmoid(features_21_conv_4)
        mul_44 = features_21_conv_4.__mul__(sigmoid_37)
        size_8 = mul_44.size()
        features_21_conv_6_avg_pool = self.features_21_conv_6_avg_pool(mul_44)
        view_15 = features_21_conv_6_avg_pool.view(size_8[0], size_8[1])
        features_21_conv_6_fc_0 = self.features_21_conv_6_fc_0(view_15)
        sigmoid_38 = torch.sigmoid(features_21_conv_6_fc_0)
        mul_45 = features_21_conv_6_fc_0.__mul__(sigmoid_38)
        features_21_conv_6_fc_2 = self.features_21_conv_6_fc_2(mul_45)
        features_21_conv_6_fc_3 = self.features_21_conv_6_fc_3(features_21_conv_6_fc_2)
        view_16 = features_21_conv_6_fc_3.view(size_8[0], size_8[1], 1, 1)
        mul_46 = mul_44.__mul__(view_16)
        features_21_conv_7 = self.features_21_conv_7(mul_46)
        features_21_conv_8 = self.features_21_conv_8(features_21_conv_7)
        features_22_conv_0 = self.features_22_conv_0(features_21_conv_8)
        features_22_conv_1 = self.features_22_conv_1(features_22_conv_0)
        sigmoid_39 = torch.sigmoid(features_22_conv_1)
        mul_47 = features_22_conv_1.__mul__(sigmoid_39)
        features_22_conv_3 = self.features_22_conv_3(mul_47)
        features_22_conv_4 = self.features_22_conv_4(features_22_conv_3)
        sigmoid_40 = torch.sigmoid(features_22_conv_4)
        mul_48 = features_22_conv_4.__mul__(sigmoid_40)
        size_9 = mul_48.size()
        features_22_conv_6_avg_pool = self.features_22_conv_6_avg_pool(mul_48)
        view_17 = features_22_conv_6_avg_pool.view(size_9[0], size_9[1])
        features_22_conv_6_fc_0 = self.features_22_conv_6_fc_0(view_17)
        sigmoid_41 = torch.sigmoid(features_22_conv_6_fc_0)
        mul_49 = features_22_conv_6_fc_0.__mul__(sigmoid_41)
        features_22_conv_6_fc_2 = self.features_22_conv_6_fc_2(mul_49)
        features_22_conv_6_fc_3 = self.features_22_conv_6_fc_3(features_22_conv_6_fc_2)
        view_18 = features_22_conv_6_fc_3.view(size_9[0], size_9[1], 1, 1)
        mul_50 = mul_48.__mul__(view_18)
        features_22_conv_7 = self.features_22_conv_7(mul_50)
        features_22_conv_8 = self.features_22_conv_8(features_22_conv_7)
        add_18 = features_21_conv_8.__add__(features_22_conv_8)
        features_23_conv_0 = self.features_23_conv_0(add_18)
        features_23_conv_1 = self.features_23_conv_1(features_23_conv_0)
        sigmoid_42 = torch.sigmoid(features_23_conv_1)
        mul_51 = features_23_conv_1.__mul__(sigmoid_42)
        features_23_conv_3 = self.features_23_conv_3(mul_51)
        features_23_conv_4 = self.features_23_conv_4(features_23_conv_3)
        sigmoid_43 = torch.sigmoid(features_23_conv_4)
        mul_52 = features_23_conv_4.__mul__(sigmoid_43)
        size_10 = mul_52.size()
        features_23_conv_6_avg_pool = self.features_23_conv_6_avg_pool(mul_52)
        view_19 = features_23_conv_6_avg_pool.view(size_10[0], size_10[1])
        features_23_conv_6_fc_0 = self.features_23_conv_6_fc_0(view_19)
        sigmoid_44 = torch.sigmoid(features_23_conv_6_fc_0)
        mul_53 = features_23_conv_6_fc_0.__mul__(sigmoid_44)
        features_23_conv_6_fc_2 = self.features_23_conv_6_fc_2(mul_53)
        features_23_conv_6_fc_3 = self.features_23_conv_6_fc_3(features_23_conv_6_fc_2)
        view_20 = features_23_conv_6_fc_3.view(size_10[0], size_10[1], 1, 1)
        mul_54 = mul_52.__mul__(view_20)
        features_23_conv_7 = self.features_23_conv_7(mul_54)
        features_23_conv_8 = self.features_23_conv_8(features_23_conv_7)
        add_19 = add_18.__add__(features_23_conv_8)
        features_24_conv_0 = self.features_24_conv_0(add_19)
        features_24_conv_1 = self.features_24_conv_1(features_24_conv_0)
        sigmoid_45 = torch.sigmoid(features_24_conv_1)
        mul_55 = features_24_conv_1.__mul__(sigmoid_45)
        features_24_conv_3 = self.features_24_conv_3(mul_55)
        features_24_conv_4 = self.features_24_conv_4(features_24_conv_3)
        sigmoid_46 = torch.sigmoid(features_24_conv_4)
        mul_56 = features_24_conv_4.__mul__(sigmoid_46)
        size_11 = mul_56.size()
        features_24_conv_6_avg_pool = self.features_24_conv_6_avg_pool(mul_56)
        view_21 = features_24_conv_6_avg_pool.view(size_11[0], size_11[1])
        features_24_conv_6_fc_0 = self.features_24_conv_6_fc_0(view_21)
        sigmoid_47 = torch.sigmoid(features_24_conv_6_fc_0)
        mul_57 = features_24_conv_6_fc_0.__mul__(sigmoid_47)
        features_24_conv_6_fc_2 = self.features_24_conv_6_fc_2(mul_57)
        features_24_conv_6_fc_3 = self.features_24_conv_6_fc_3(features_24_conv_6_fc_2)
        view_22 = features_24_conv_6_fc_3.view(size_11[0], size_11[1], 1, 1)
        mul_58 = mul_56.__mul__(view_22)
        features_24_conv_7 = self.features_24_conv_7(mul_58)
        features_24_conv_8 = self.features_24_conv_8(features_24_conv_7)
        add_20 = add_19.__add__(features_24_conv_8)
        features_25_conv_0 = self.features_25_conv_0(add_20)
        features_25_conv_1 = self.features_25_conv_1(features_25_conv_0)
        sigmoid_48 = torch.sigmoid(features_25_conv_1)
        mul_59 = features_25_conv_1.__mul__(sigmoid_48)
        features_25_conv_3 = self.features_25_conv_3(mul_59)
        features_25_conv_4 = self.features_25_conv_4(features_25_conv_3)
        sigmoid_49 = torch.sigmoid(features_25_conv_4)
        mul_60 = features_25_conv_4.__mul__(sigmoid_49)
        size_12 = mul_60.size()
        features_25_conv_6_avg_pool = self.features_25_conv_6_avg_pool(mul_60)
        view_23 = features_25_conv_6_avg_pool.view(size_12[0], size_12[1])
        features_25_conv_6_fc_0 = self.features_25_conv_6_fc_0(view_23)
        sigmoid_50 = torch.sigmoid(features_25_conv_6_fc_0)
        mul_61 = features_25_conv_6_fc_0.__mul__(sigmoid_50)
        features_25_conv_6_fc_2 = self.features_25_conv_6_fc_2(mul_61)
        features_25_conv_6_fc_3 = self.features_25_conv_6_fc_3(features_25_conv_6_fc_2)
        view_24 = features_25_conv_6_fc_3.view(size_12[0], size_12[1], 1, 1)
        mul_62 = mul_60.__mul__(view_24)
        features_25_conv_7 = self.features_25_conv_7(mul_62)
        features_25_conv_8 = self.features_25_conv_8(features_25_conv_7)
        add_21 = add_20.__add__(features_25_conv_8)
        features_26_conv_0 = self.features_26_conv_0(add_21)
        features_26_conv_1 = self.features_26_conv_1(features_26_conv_0)
        sigmoid_51 = torch.sigmoid(features_26_conv_1)
        mul_63 = features_26_conv_1.__mul__(sigmoid_51)
        features_26_conv_3 = self.features_26_conv_3(mul_63)
        features_26_conv_4 = self.features_26_conv_4(features_26_conv_3)
        sigmoid_52 = torch.sigmoid(features_26_conv_4)
        mul_64 = features_26_conv_4.__mul__(sigmoid_52)
        size_13 = mul_64.size()
        features_26_conv_6_avg_pool = self.features_26_conv_6_avg_pool(mul_64)
        view_25 = features_26_conv_6_avg_pool.view(size_13[0], size_13[1])
        features_26_conv_6_fc_0 = self.features_26_conv_6_fc_0(view_25)
        sigmoid_53 = torch.sigmoid(features_26_conv_6_fc_0)
        mul_65 = features_26_conv_6_fc_0.__mul__(sigmoid_53)
        features_26_conv_6_fc_2 = self.features_26_conv_6_fc_2(mul_65)
        features_26_conv_6_fc_3 = self.features_26_conv_6_fc_3(features_26_conv_6_fc_2)
        view_26 = features_26_conv_6_fc_3.view(size_13[0], size_13[1], 1, 1)
        mul_66 = mul_64.__mul__(view_26)
        features_26_conv_7 = self.features_26_conv_7(mul_66)
        features_26_conv_8 = self.features_26_conv_8(features_26_conv_7)
        add_22 = add_21.__add__(features_26_conv_8)
        features_27_conv_0 = self.features_27_conv_0(add_22)
        features_27_conv_1 = self.features_27_conv_1(features_27_conv_0)
        sigmoid_54 = torch.sigmoid(features_27_conv_1)
        mul_67 = features_27_conv_1.__mul__(sigmoid_54)
        features_27_conv_3 = self.features_27_conv_3(mul_67)
        features_27_conv_4 = self.features_27_conv_4(features_27_conv_3)
        sigmoid_55 = torch.sigmoid(features_27_conv_4)
        mul_68 = features_27_conv_4.__mul__(sigmoid_55)
        size_14 = mul_68.size()
        features_27_conv_6_avg_pool = self.features_27_conv_6_avg_pool(mul_68)
        view_27 = features_27_conv_6_avg_pool.view(size_14[0], size_14[1])
        features_27_conv_6_fc_0 = self.features_27_conv_6_fc_0(view_27)
        sigmoid_56 = torch.sigmoid(features_27_conv_6_fc_0)
        mul_69 = features_27_conv_6_fc_0.__mul__(sigmoid_56)
        features_27_conv_6_fc_2 = self.features_27_conv_6_fc_2(mul_69)
        features_27_conv_6_fc_3 = self.features_27_conv_6_fc_3(features_27_conv_6_fc_2)
        view_28 = features_27_conv_6_fc_3.view(size_14[0], size_14[1], 1, 1)
        mul_70 = mul_68.__mul__(view_28)
        features_27_conv_7 = self.features_27_conv_7(mul_70)
        features_27_conv_8 = self.features_27_conv_8(features_27_conv_7)
        add_23 = add_22.__add__(features_27_conv_8)
        features_28_conv_0 = self.features_28_conv_0(add_23)
        features_28_conv_1 = self.features_28_conv_1(features_28_conv_0)
        sigmoid_57 = torch.sigmoid(features_28_conv_1)
        mul_71 = features_28_conv_1.__mul__(sigmoid_57)
        features_28_conv_3 = self.features_28_conv_3(mul_71)
        features_28_conv_4 = self.features_28_conv_4(features_28_conv_3)
        sigmoid_58 = torch.sigmoid(features_28_conv_4)
        mul_72 = features_28_conv_4.__mul__(sigmoid_58)
        size_15 = mul_72.size()
        features_28_conv_6_avg_pool = self.features_28_conv_6_avg_pool(mul_72)
        view_29 = features_28_conv_6_avg_pool.view(size_15[0], size_15[1])
        features_28_conv_6_fc_0 = self.features_28_conv_6_fc_0(view_29)
        sigmoid_59 = torch.sigmoid(features_28_conv_6_fc_0)
        mul_73 = features_28_conv_6_fc_0.__mul__(sigmoid_59)
        features_28_conv_6_fc_2 = self.features_28_conv_6_fc_2(mul_73)
        features_28_conv_6_fc_3 = self.features_28_conv_6_fc_3(features_28_conv_6_fc_2)
        view_30 = features_28_conv_6_fc_3.view(size_15[0], size_15[1], 1, 1)
        mul_74 = mul_72.__mul__(view_30)
        features_28_conv_7 = self.features_28_conv_7(mul_74)
        features_28_conv_8 = self.features_28_conv_8(features_28_conv_7)
        add_24 = add_23.__add__(features_28_conv_8)
        features_29_conv_0 = self.features_29_conv_0(add_24)
        features_29_conv_1 = self.features_29_conv_1(features_29_conv_0)
        sigmoid_60 = torch.sigmoid(features_29_conv_1)
        mul_75 = features_29_conv_1.__mul__(sigmoid_60)
        features_29_conv_3 = self.features_29_conv_3(mul_75)
        features_29_conv_4 = self.features_29_conv_4(features_29_conv_3)
        sigmoid_61 = torch.sigmoid(features_29_conv_4)
        mul_76 = features_29_conv_4.__mul__(sigmoid_61)
        size_16 = mul_76.size()
        features_29_conv_6_avg_pool = self.features_29_conv_6_avg_pool(mul_76)
        view_31 = features_29_conv_6_avg_pool.view(size_16[0], size_16[1])
        features_29_conv_6_fc_0 = self.features_29_conv_6_fc_0(view_31)
        sigmoid_62 = torch.sigmoid(features_29_conv_6_fc_0)
        mul_77 = features_29_conv_6_fc_0.__mul__(sigmoid_62)
        features_29_conv_6_fc_2 = self.features_29_conv_6_fc_2(mul_77)
        features_29_conv_6_fc_3 = self.features_29_conv_6_fc_3(features_29_conv_6_fc_2)
        view_32 = features_29_conv_6_fc_3.view(size_16[0], size_16[1], 1, 1)
        mul_78 = mul_76.__mul__(view_32)
        features_29_conv_7 = self.features_29_conv_7(mul_78)
        features_29_conv_8 = self.features_29_conv_8(features_29_conv_7)
        add_25 = add_24.__add__(features_29_conv_8)
        features_30_conv_0 = self.features_30_conv_0(add_25)
        features_30_conv_1 = self.features_30_conv_1(features_30_conv_0)
        sigmoid_63 = torch.sigmoid(features_30_conv_1)
        mul_79 = features_30_conv_1.__mul__(sigmoid_63)
        features_30_conv_3 = self.features_30_conv_3(mul_79)
        features_30_conv_4 = self.features_30_conv_4(features_30_conv_3)
        sigmoid_64 = torch.sigmoid(features_30_conv_4)
        mul_80 = features_30_conv_4.__mul__(sigmoid_64)
        size_17 = mul_80.size()
        features_30_conv_6_avg_pool = self.features_30_conv_6_avg_pool(mul_80)
        view_33 = features_30_conv_6_avg_pool.view(size_17[0], size_17[1])
        features_30_conv_6_fc_0 = self.features_30_conv_6_fc_0(view_33)
        sigmoid_65 = torch.sigmoid(features_30_conv_6_fc_0)
        mul_81 = features_30_conv_6_fc_0.__mul__(sigmoid_65)
        features_30_conv_6_fc_2 = self.features_30_conv_6_fc_2(mul_81)
        features_30_conv_6_fc_3 = self.features_30_conv_6_fc_3(features_30_conv_6_fc_2)
        view_34 = features_30_conv_6_fc_3.view(size_17[0], size_17[1], 1, 1)
        mul_82 = mul_80.__mul__(view_34)
        features_30_conv_7 = self.features_30_conv_7(mul_82)
        features_30_conv_8 = self.features_30_conv_8(features_30_conv_7)
        add_26 = add_25.__add__(features_30_conv_8)
        features_31_conv_0 = self.features_31_conv_0(add_26)
        features_31_conv_1 = self.features_31_conv_1(features_31_conv_0)
        sigmoid_66 = torch.sigmoid(features_31_conv_1)
        mul_83 = features_31_conv_1.__mul__(sigmoid_66)
        features_31_conv_3 = self.features_31_conv_3(mul_83)
        features_31_conv_4 = self.features_31_conv_4(features_31_conv_3)
        sigmoid_67 = torch.sigmoid(features_31_conv_4)
        mul_84 = features_31_conv_4.__mul__(sigmoid_67)
        size_18 = mul_84.size()
        features_31_conv_6_avg_pool = self.features_31_conv_6_avg_pool(mul_84)
        view_35 = features_31_conv_6_avg_pool.view(size_18[0], size_18[1])
        features_31_conv_6_fc_0 = self.features_31_conv_6_fc_0(view_35)
        sigmoid_68 = torch.sigmoid(features_31_conv_6_fc_0)
        mul_85 = features_31_conv_6_fc_0.__mul__(sigmoid_68)
        features_31_conv_6_fc_2 = self.features_31_conv_6_fc_2(mul_85)
        features_31_conv_6_fc_3 = self.features_31_conv_6_fc_3(features_31_conv_6_fc_2)
        view_36 = features_31_conv_6_fc_3.view(size_18[0], size_18[1], 1, 1)
        mul_86 = mul_84.__mul__(view_36)
        features_31_conv_7 = self.features_31_conv_7(mul_86)
        features_31_conv_8 = self.features_31_conv_8(features_31_conv_7)
        add_27 = add_26.__add__(features_31_conv_8)
        features_32_conv_0 = self.features_32_conv_0(add_27)
        features_32_conv_1 = self.features_32_conv_1(features_32_conv_0)
        sigmoid_69 = torch.sigmoid(features_32_conv_1)
        mul_87 = features_32_conv_1.__mul__(sigmoid_69)
        features_32_conv_3 = self.features_32_conv_3(mul_87)
        features_32_conv_4 = self.features_32_conv_4(features_32_conv_3)
        sigmoid_70 = torch.sigmoid(features_32_conv_4)
        mul_88 = features_32_conv_4.__mul__(sigmoid_70)
        size_19 = mul_88.size()
        features_32_conv_6_avg_pool = self.features_32_conv_6_avg_pool(mul_88)
        view_37 = features_32_conv_6_avg_pool.view(size_19[0], size_19[1])
        features_32_conv_6_fc_0 = self.features_32_conv_6_fc_0(view_37)
        sigmoid_71 = torch.sigmoid(features_32_conv_6_fc_0)
        mul_89 = features_32_conv_6_fc_0.__mul__(sigmoid_71)
        features_32_conv_6_fc_2 = self.features_32_conv_6_fc_2(mul_89)
        features_32_conv_6_fc_3 = self.features_32_conv_6_fc_3(features_32_conv_6_fc_2)
        view_38 = features_32_conv_6_fc_3.view(size_19[0], size_19[1], 1, 1)
        mul_90 = mul_88.__mul__(view_38)
        features_32_conv_7 = self.features_32_conv_7(mul_90)
        features_32_conv_8 = self.features_32_conv_8(features_32_conv_7)
        add_28 = add_27.__add__(features_32_conv_8)
        features_33_conv_0 = self.features_33_conv_0(add_28)
        features_33_conv_1 = self.features_33_conv_1(features_33_conv_0)
        sigmoid_72 = torch.sigmoid(features_33_conv_1)
        mul_91 = features_33_conv_1.__mul__(sigmoid_72)
        features_33_conv_3 = self.features_33_conv_3(mul_91)
        features_33_conv_4 = self.features_33_conv_4(features_33_conv_3)
        sigmoid_73 = torch.sigmoid(features_33_conv_4)
        mul_92 = features_33_conv_4.__mul__(sigmoid_73)
        size_20 = mul_92.size()
        features_33_conv_6_avg_pool = self.features_33_conv_6_avg_pool(mul_92)
        view_39 = features_33_conv_6_avg_pool.view(size_20[0], size_20[1])
        features_33_conv_6_fc_0 = self.features_33_conv_6_fc_0(view_39)
        sigmoid_74 = torch.sigmoid(features_33_conv_6_fc_0)
        mul_93 = features_33_conv_6_fc_0.__mul__(sigmoid_74)
        features_33_conv_6_fc_2 = self.features_33_conv_6_fc_2(mul_93)
        features_33_conv_6_fc_3 = self.features_33_conv_6_fc_3(features_33_conv_6_fc_2)
        view_40 = features_33_conv_6_fc_3.view(size_20[0], size_20[1], 1, 1)
        mul_94 = mul_92.__mul__(view_40)
        features_33_conv_7 = self.features_33_conv_7(mul_94)
        features_33_conv_8 = self.features_33_conv_8(features_33_conv_7)
        add_29 = add_28.__add__(features_33_conv_8)
        features_34_conv_0 = self.features_34_conv_0(add_29)
        features_34_conv_1 = self.features_34_conv_1(features_34_conv_0)
        sigmoid_75 = torch.sigmoid(features_34_conv_1)
        mul_95 = features_34_conv_1.__mul__(sigmoid_75)
        features_34_conv_3 = self.features_34_conv_3(mul_95)
        features_34_conv_4 = self.features_34_conv_4(features_34_conv_3)
        sigmoid_76 = torch.sigmoid(features_34_conv_4)
        mul_96 = features_34_conv_4.__mul__(sigmoid_76)
        size_21 = mul_96.size()
        features_34_conv_6_avg_pool = self.features_34_conv_6_avg_pool(mul_96)
        view_41 = features_34_conv_6_avg_pool.view(size_21[0], size_21[1])
        features_34_conv_6_fc_0 = self.features_34_conv_6_fc_0(view_41)
        sigmoid_77 = torch.sigmoid(features_34_conv_6_fc_0)
        mul_97 = features_34_conv_6_fc_0.__mul__(sigmoid_77)
        features_34_conv_6_fc_2 = self.features_34_conv_6_fc_2(mul_97)
        features_34_conv_6_fc_3 = self.features_34_conv_6_fc_3(features_34_conv_6_fc_2)
        view_42 = features_34_conv_6_fc_3.view(size_21[0], size_21[1], 1, 1)
        mul_98 = mul_96.__mul__(view_42)
        features_34_conv_7 = self.features_34_conv_7(mul_98)
        features_34_conv_8 = self.features_34_conv_8(features_34_conv_7)
        add_30 = add_29.__add__(features_34_conv_8)
        features_35_conv_0 = self.features_35_conv_0(add_30)
        features_35_conv_1 = self.features_35_conv_1(features_35_conv_0)
        sigmoid_78 = torch.sigmoid(features_35_conv_1)
        mul_99 = features_35_conv_1.__mul__(sigmoid_78)
        features_35_conv_3 = self.features_35_conv_3(mul_99)
        features_35_conv_4 = self.features_35_conv_4(features_35_conv_3)
        sigmoid_79 = torch.sigmoid(features_35_conv_4)
        mul_100 = features_35_conv_4.__mul__(sigmoid_79)
        size_22 = mul_100.size()
        features_35_conv_6_avg_pool = self.features_35_conv_6_avg_pool(mul_100)
        view_43 = features_35_conv_6_avg_pool.view(size_22[0], size_22[1])
        features_35_conv_6_fc_0 = self.features_35_conv_6_fc_0(view_43)
        sigmoid_80 = torch.sigmoid(features_35_conv_6_fc_0)
        mul_101 = features_35_conv_6_fc_0.__mul__(sigmoid_80)
        features_35_conv_6_fc_2 = self.features_35_conv_6_fc_2(mul_101)
        features_35_conv_6_fc_3 = self.features_35_conv_6_fc_3(features_35_conv_6_fc_2)
        view_44 = features_35_conv_6_fc_3.view(size_22[0], size_22[1], 1, 1)
        mul_102 = mul_100.__mul__(view_44)
        features_35_conv_7 = self.features_35_conv_7(mul_102)
        features_35_conv_8 = self.features_35_conv_8(features_35_conv_7)
        features_36_conv_0 = self.features_36_conv_0(features_35_conv_8)
        features_36_conv_1 = self.features_36_conv_1(features_36_conv_0)
        sigmoid_81 = torch.sigmoid(features_36_conv_1)
        mul_103 = features_36_conv_1.__mul__(sigmoid_81)
        features_36_conv_3 = self.features_36_conv_3(mul_103)
        features_36_conv_4 = self.features_36_conv_4(features_36_conv_3)
        sigmoid_82 = torch.sigmoid(features_36_conv_4)
        mul_104 = features_36_conv_4.__mul__(sigmoid_82)
        size_23 = mul_104.size()
        features_36_conv_6_avg_pool = self.features_36_conv_6_avg_pool(mul_104)
        view_45 = features_36_conv_6_avg_pool.view(size_23[0], size_23[1])
        features_36_conv_6_fc_0 = self.features_36_conv_6_fc_0(view_45)
        sigmoid_83 = torch.sigmoid(features_36_conv_6_fc_0)
        mul_105 = features_36_conv_6_fc_0.__mul__(sigmoid_83)
        features_36_conv_6_fc_2 = self.features_36_conv_6_fc_2(mul_105)
        features_36_conv_6_fc_3 = self.features_36_conv_6_fc_3(features_36_conv_6_fc_2)
        view_46 = features_36_conv_6_fc_3.view(size_23[0], size_23[1], 1, 1)
        mul_106 = mul_104.__mul__(view_46)
        features_36_conv_7 = self.features_36_conv_7(mul_106)
        features_36_conv_8 = self.features_36_conv_8(features_36_conv_7)
        add_31 = features_35_conv_8.__add__(features_36_conv_8)
        features_37_conv_0 = self.features_37_conv_0(add_31)
        features_37_conv_1 = self.features_37_conv_1(features_37_conv_0)
        sigmoid_84 = torch.sigmoid(features_37_conv_1)
        mul_107 = features_37_conv_1.__mul__(sigmoid_84)
        features_37_conv_3 = self.features_37_conv_3(mul_107)
        features_37_conv_4 = self.features_37_conv_4(features_37_conv_3)
        sigmoid_85 = torch.sigmoid(features_37_conv_4)
        mul_108 = features_37_conv_4.__mul__(sigmoid_85)
        size_24 = mul_108.size()
        features_37_conv_6_avg_pool = self.features_37_conv_6_avg_pool(mul_108)
        view_47 = features_37_conv_6_avg_pool.view(size_24[0], size_24[1])
        features_37_conv_6_fc_0 = self.features_37_conv_6_fc_0(view_47)
        sigmoid_86 = torch.sigmoid(features_37_conv_6_fc_0)
        mul_109 = features_37_conv_6_fc_0.__mul__(sigmoid_86)
        features_37_conv_6_fc_2 = self.features_37_conv_6_fc_2(mul_109)
        features_37_conv_6_fc_3 = self.features_37_conv_6_fc_3(features_37_conv_6_fc_2)
        view_48 = features_37_conv_6_fc_3.view(size_24[0], size_24[1], 1, 1)
        mul_110 = mul_108.__mul__(view_48)
        features_37_conv_7 = self.features_37_conv_7(mul_110)
        features_37_conv_8 = self.features_37_conv_8(features_37_conv_7)
        add_32 = add_31.__add__(features_37_conv_8)
        features_38_conv_0 = self.features_38_conv_0(add_32)
        features_38_conv_1 = self.features_38_conv_1(features_38_conv_0)
        sigmoid_87 = torch.sigmoid(features_38_conv_1)
        mul_111 = features_38_conv_1.__mul__(sigmoid_87)
        features_38_conv_3 = self.features_38_conv_3(mul_111)
        features_38_conv_4 = self.features_38_conv_4(features_38_conv_3)
        sigmoid_88 = torch.sigmoid(features_38_conv_4)
        mul_112 = features_38_conv_4.__mul__(sigmoid_88)
        size_25 = mul_112.size()
        features_38_conv_6_avg_pool = self.features_38_conv_6_avg_pool(mul_112)
        view_49 = features_38_conv_6_avg_pool.view(size_25[0], size_25[1])
        features_38_conv_6_fc_0 = self.features_38_conv_6_fc_0(view_49)
        sigmoid_89 = torch.sigmoid(features_38_conv_6_fc_0)
        mul_113 = features_38_conv_6_fc_0.__mul__(sigmoid_89)
        features_38_conv_6_fc_2 = self.features_38_conv_6_fc_2(mul_113)
        features_38_conv_6_fc_3 = self.features_38_conv_6_fc_3(features_38_conv_6_fc_2)
        view_50 = features_38_conv_6_fc_3.view(size_25[0], size_25[1], 1, 1)
        mul_114 = mul_112.__mul__(view_50)
        features_38_conv_7 = self.features_38_conv_7(mul_114)
        features_38_conv_8 = self.features_38_conv_8(features_38_conv_7)
        add_33 = add_32.__add__(features_38_conv_8)
        features_39_conv_0 = self.features_39_conv_0(add_33)
        features_39_conv_1 = self.features_39_conv_1(features_39_conv_0)
        sigmoid_90 = torch.sigmoid(features_39_conv_1)
        mul_115 = features_39_conv_1.__mul__(sigmoid_90)
        features_39_conv_3 = self.features_39_conv_3(mul_115)
        features_39_conv_4 = self.features_39_conv_4(features_39_conv_3)
        sigmoid_91 = torch.sigmoid(features_39_conv_4)
        mul_116 = features_39_conv_4.__mul__(sigmoid_91)
        size_26 = mul_116.size()
        features_39_conv_6_avg_pool = self.features_39_conv_6_avg_pool(mul_116)
        view_51 = features_39_conv_6_avg_pool.view(size_26[0], size_26[1])
        features_39_conv_6_fc_0 = self.features_39_conv_6_fc_0(view_51)
        sigmoid_92 = torch.sigmoid(features_39_conv_6_fc_0)
        mul_117 = features_39_conv_6_fc_0.__mul__(sigmoid_92)
        features_39_conv_6_fc_2 = self.features_39_conv_6_fc_2(mul_117)
        features_39_conv_6_fc_3 = self.features_39_conv_6_fc_3(features_39_conv_6_fc_2)
        view_52 = features_39_conv_6_fc_3.view(size_26[0], size_26[1], 1, 1)
        mul_118 = mul_116.__mul__(view_52)
        features_39_conv_7 = self.features_39_conv_7(mul_118)
        features_39_conv_8 = self.features_39_conv_8(features_39_conv_7)
        add_34 = add_33.__add__(features_39_conv_8)
        features_40_conv_0 = self.features_40_conv_0(add_34)
        features_40_conv_1 = self.features_40_conv_1(features_40_conv_0)
        sigmoid_93 = torch.sigmoid(features_40_conv_1)
        mul_119 = features_40_conv_1.__mul__(sigmoid_93)
        features_40_conv_3 = self.features_40_conv_3(mul_119)
        features_40_conv_4 = self.features_40_conv_4(features_40_conv_3)
        sigmoid_94 = torch.sigmoid(features_40_conv_4)
        mul_120 = features_40_conv_4.__mul__(sigmoid_94)
        size_27 = mul_120.size()
        features_40_conv_6_avg_pool = self.features_40_conv_6_avg_pool(mul_120)
        view_53 = features_40_conv_6_avg_pool.view(size_27[0], size_27[1])
        features_40_conv_6_fc_0 = self.features_40_conv_6_fc_0(view_53)
        sigmoid_95 = torch.sigmoid(features_40_conv_6_fc_0)
        mul_121 = features_40_conv_6_fc_0.__mul__(sigmoid_95)
        features_40_conv_6_fc_2 = self.features_40_conv_6_fc_2(mul_121)
        features_40_conv_6_fc_3 = self.features_40_conv_6_fc_3(features_40_conv_6_fc_2)
        view_54 = features_40_conv_6_fc_3.view(size_27[0], size_27[1], 1, 1)
        mul_122 = mul_120.__mul__(view_54)
        features_40_conv_7 = self.features_40_conv_7(mul_122)
        features_40_conv_8 = self.features_40_conv_8(features_40_conv_7)
        add_35 = add_34.__add__(features_40_conv_8)
        features_41_conv_0 = self.features_41_conv_0(add_35)
        features_41_conv_1 = self.features_41_conv_1(features_41_conv_0)
        sigmoid_96 = torch.sigmoid(features_41_conv_1)
        mul_123 = features_41_conv_1.__mul__(sigmoid_96)
        features_41_conv_3 = self.features_41_conv_3(mul_123)
        features_41_conv_4 = self.features_41_conv_4(features_41_conv_3)
        sigmoid_97 = torch.sigmoid(features_41_conv_4)
        mul_124 = features_41_conv_4.__mul__(sigmoid_97)
        size_28 = mul_124.size()
        features_41_conv_6_avg_pool = self.features_41_conv_6_avg_pool(mul_124)
        view_55 = features_41_conv_6_avg_pool.view(size_28[0], size_28[1])
        features_41_conv_6_fc_0 = self.features_41_conv_6_fc_0(view_55)
        sigmoid_98 = torch.sigmoid(features_41_conv_6_fc_0)
        mul_125 = features_41_conv_6_fc_0.__mul__(sigmoid_98)
        features_41_conv_6_fc_2 = self.features_41_conv_6_fc_2(mul_125)
        features_41_conv_6_fc_3 = self.features_41_conv_6_fc_3(features_41_conv_6_fc_2)
        view_56 = features_41_conv_6_fc_3.view(size_28[0], size_28[1], 1, 1)
        mul_126 = mul_124.__mul__(view_56)
        features_41_conv_7 = self.features_41_conv_7(mul_126)
        features_41_conv_8 = self.features_41_conv_8(features_41_conv_7)
        add_36 = add_35.__add__(features_41_conv_8)
        features_42_conv_0 = self.features_42_conv_0(add_36)
        features_42_conv_1 = self.features_42_conv_1(features_42_conv_0)
        sigmoid_99 = torch.sigmoid(features_42_conv_1)
        mul_127 = features_42_conv_1.__mul__(sigmoid_99)
        features_42_conv_3 = self.features_42_conv_3(mul_127)
        features_42_conv_4 = self.features_42_conv_4(features_42_conv_3)
        sigmoid_100 = torch.sigmoid(features_42_conv_4)
        mul_128 = features_42_conv_4.__mul__(sigmoid_100)
        size_29 = mul_128.size()
        features_42_conv_6_avg_pool = self.features_42_conv_6_avg_pool(mul_128)
        view_57 = features_42_conv_6_avg_pool.view(size_29[0], size_29[1])
        features_42_conv_6_fc_0 = self.features_42_conv_6_fc_0(view_57)
        sigmoid_101 = torch.sigmoid(features_42_conv_6_fc_0)
        mul_129 = features_42_conv_6_fc_0.__mul__(sigmoid_101)
        features_42_conv_6_fc_2 = self.features_42_conv_6_fc_2(mul_129)
        features_42_conv_6_fc_3 = self.features_42_conv_6_fc_3(features_42_conv_6_fc_2)
        view_58 = features_42_conv_6_fc_3.view(size_29[0], size_29[1], 1, 1)
        mul_130 = mul_128.__mul__(view_58)
        features_42_conv_7 = self.features_42_conv_7(mul_130)
        features_42_conv_8 = self.features_42_conv_8(features_42_conv_7)
        add_37 = add_36.__add__(features_42_conv_8)
        features_43_conv_0 = self.features_43_conv_0(add_37)
        features_43_conv_1 = self.features_43_conv_1(features_43_conv_0)
        sigmoid_102 = torch.sigmoid(features_43_conv_1)
        mul_131 = features_43_conv_1.__mul__(sigmoid_102)
        features_43_conv_3 = self.features_43_conv_3(mul_131)
        features_43_conv_4 = self.features_43_conv_4(features_43_conv_3)
        sigmoid_103 = torch.sigmoid(features_43_conv_4)
        mul_132 = features_43_conv_4.__mul__(sigmoid_103)
        size_30 = mul_132.size()
        features_43_conv_6_avg_pool = self.features_43_conv_6_avg_pool(mul_132)
        view_59 = features_43_conv_6_avg_pool.view(size_30[0], size_30[1])
        features_43_conv_6_fc_0 = self.features_43_conv_6_fc_0(view_59)
        sigmoid_104 = torch.sigmoid(features_43_conv_6_fc_0)
        mul_133 = features_43_conv_6_fc_0.__mul__(sigmoid_104)
        features_43_conv_6_fc_2 = self.features_43_conv_6_fc_2(mul_133)
        features_43_conv_6_fc_3 = self.features_43_conv_6_fc_3(features_43_conv_6_fc_2)
        view_60 = features_43_conv_6_fc_3.view(size_30[0], size_30[1], 1, 1)
        mul_134 = mul_132.__mul__(view_60)
        features_43_conv_7 = self.features_43_conv_7(mul_134)
        features_43_conv_8 = self.features_43_conv_8(features_43_conv_7)
        add_38 = add_37.__add__(features_43_conv_8)
        features_44_conv_0 = self.features_44_conv_0(add_38)
        features_44_conv_1 = self.features_44_conv_1(features_44_conv_0)
        sigmoid_105 = torch.sigmoid(features_44_conv_1)
        mul_135 = features_44_conv_1.__mul__(sigmoid_105)
        features_44_conv_3 = self.features_44_conv_3(mul_135)
        features_44_conv_4 = self.features_44_conv_4(features_44_conv_3)
        sigmoid_106 = torch.sigmoid(features_44_conv_4)
        mul_136 = features_44_conv_4.__mul__(sigmoid_106)
        size_31 = mul_136.size()
        features_44_conv_6_avg_pool = self.features_44_conv_6_avg_pool(mul_136)
        view_61 = features_44_conv_6_avg_pool.view(size_31[0], size_31[1])
        features_44_conv_6_fc_0 = self.features_44_conv_6_fc_0(view_61)
        sigmoid_107 = torch.sigmoid(features_44_conv_6_fc_0)
        mul_137 = features_44_conv_6_fc_0.__mul__(sigmoid_107)
        features_44_conv_6_fc_2 = self.features_44_conv_6_fc_2(mul_137)
        features_44_conv_6_fc_3 = self.features_44_conv_6_fc_3(features_44_conv_6_fc_2)
        view_62 = features_44_conv_6_fc_3.view(size_31[0], size_31[1], 1, 1)
        mul_138 = mul_136.__mul__(view_62)
        features_44_conv_7 = self.features_44_conv_7(mul_138)
        features_44_conv_8 = self.features_44_conv_8(features_44_conv_7)
        add_39 = add_38.__add__(features_44_conv_8)
        features_45_conv_0 = self.features_45_conv_0(add_39)
        features_45_conv_1 = self.features_45_conv_1(features_45_conv_0)
        sigmoid_108 = torch.sigmoid(features_45_conv_1)
        mul_139 = features_45_conv_1.__mul__(sigmoid_108)
        features_45_conv_3 = self.features_45_conv_3(mul_139)
        features_45_conv_4 = self.features_45_conv_4(features_45_conv_3)
        sigmoid_109 = torch.sigmoid(features_45_conv_4)
        mul_140 = features_45_conv_4.__mul__(sigmoid_109)
        size_32 = mul_140.size()
        features_45_conv_6_avg_pool = self.features_45_conv_6_avg_pool(mul_140)
        view_63 = features_45_conv_6_avg_pool.view(size_32[0], size_32[1])
        features_45_conv_6_fc_0 = self.features_45_conv_6_fc_0(view_63)
        sigmoid_110 = torch.sigmoid(features_45_conv_6_fc_0)
        mul_141 = features_45_conv_6_fc_0.__mul__(sigmoid_110)
        features_45_conv_6_fc_2 = self.features_45_conv_6_fc_2(mul_141)
        features_45_conv_6_fc_3 = self.features_45_conv_6_fc_3(features_45_conv_6_fc_2)
        view_64 = features_45_conv_6_fc_3.view(size_32[0], size_32[1], 1, 1)
        mul_142 = mul_140.__mul__(view_64)
        features_45_conv_7 = self.features_45_conv_7(mul_142)
        features_45_conv_8 = self.features_45_conv_8(features_45_conv_7)
        add_40 = add_39.__add__(features_45_conv_8)
        features_46_conv_0 = self.features_46_conv_0(add_40)
        features_46_conv_1 = self.features_46_conv_1(features_46_conv_0)
        sigmoid_111 = torch.sigmoid(features_46_conv_1)
        mul_143 = features_46_conv_1.__mul__(sigmoid_111)
        features_46_conv_3 = self.features_46_conv_3(mul_143)
        features_46_conv_4 = self.features_46_conv_4(features_46_conv_3)
        sigmoid_112 = torch.sigmoid(features_46_conv_4)
        mul_144 = features_46_conv_4.__mul__(sigmoid_112)
        size_33 = mul_144.size()
        features_46_conv_6_avg_pool = self.features_46_conv_6_avg_pool(mul_144)
        view_65 = features_46_conv_6_avg_pool.view(size_33[0], size_33[1])
        features_46_conv_6_fc_0 = self.features_46_conv_6_fc_0(view_65)
        sigmoid_113 = torch.sigmoid(features_46_conv_6_fc_0)
        mul_145 = features_46_conv_6_fc_0.__mul__(sigmoid_113)
        features_46_conv_6_fc_2 = self.features_46_conv_6_fc_2(mul_145)
        features_46_conv_6_fc_3 = self.features_46_conv_6_fc_3(features_46_conv_6_fc_2)
        view_66 = features_46_conv_6_fc_3.view(size_33[0], size_33[1], 1, 1)
        mul_146 = mul_144.__mul__(view_66)
        features_46_conv_7 = self.features_46_conv_7(mul_146)
        features_46_conv_8 = self.features_46_conv_8(features_46_conv_7)
        add_41 = add_40.__add__(features_46_conv_8)
        features_47_conv_0 = self.features_47_conv_0(add_41)
        features_47_conv_1 = self.features_47_conv_1(features_47_conv_0)
        sigmoid_114 = torch.sigmoid(features_47_conv_1)
        mul_147 = features_47_conv_1.__mul__(sigmoid_114)
        features_47_conv_3 = self.features_47_conv_3(mul_147)
        features_47_conv_4 = self.features_47_conv_4(features_47_conv_3)
        sigmoid_115 = torch.sigmoid(features_47_conv_4)
        mul_148 = features_47_conv_4.__mul__(sigmoid_115)
        size_34 = mul_148.size()
        features_47_conv_6_avg_pool = self.features_47_conv_6_avg_pool(mul_148)
        view_67 = features_47_conv_6_avg_pool.view(size_34[0], size_34[1])
        features_47_conv_6_fc_0 = self.features_47_conv_6_fc_0(view_67)
        sigmoid_116 = torch.sigmoid(features_47_conv_6_fc_0)
        mul_149 = features_47_conv_6_fc_0.__mul__(sigmoid_116)
        features_47_conv_6_fc_2 = self.features_47_conv_6_fc_2(mul_149)
        features_47_conv_6_fc_3 = self.features_47_conv_6_fc_3(features_47_conv_6_fc_2)
        view_68 = features_47_conv_6_fc_3.view(size_34[0], size_34[1], 1, 1)
        mul_150 = mul_148.__mul__(view_68)
        features_47_conv_7 = self.features_47_conv_7(mul_150)
        features_47_conv_8 = self.features_47_conv_8(features_47_conv_7)
        add_42 = add_41.__add__(features_47_conv_8)
        features_48_conv_0 = self.features_48_conv_0(add_42)
        features_48_conv_1 = self.features_48_conv_1(features_48_conv_0)
        sigmoid_117 = torch.sigmoid(features_48_conv_1)
        mul_151 = features_48_conv_1.__mul__(sigmoid_117)
        features_48_conv_3 = self.features_48_conv_3(mul_151)
        features_48_conv_4 = self.features_48_conv_4(features_48_conv_3)
        sigmoid_118 = torch.sigmoid(features_48_conv_4)
        mul_152 = features_48_conv_4.__mul__(sigmoid_118)
        size_35 = mul_152.size()
        features_48_conv_6_avg_pool = self.features_48_conv_6_avg_pool(mul_152)
        view_69 = features_48_conv_6_avg_pool.view(size_35[0], size_35[1])
        features_48_conv_6_fc_0 = self.features_48_conv_6_fc_0(view_69)
        sigmoid_119 = torch.sigmoid(features_48_conv_6_fc_0)
        mul_153 = features_48_conv_6_fc_0.__mul__(sigmoid_119)
        features_48_conv_6_fc_2 = self.features_48_conv_6_fc_2(mul_153)
        features_48_conv_6_fc_3 = self.features_48_conv_6_fc_3(features_48_conv_6_fc_2)
        view_70 = features_48_conv_6_fc_3.view(size_35[0], size_35[1], 1, 1)
        mul_154 = mul_152.__mul__(view_70)
        features_48_conv_7 = self.features_48_conv_7(mul_154)
        features_48_conv_8 = self.features_48_conv_8(features_48_conv_7)
        add_43 = add_42.__add__(features_48_conv_8)
        features_49_conv_0 = self.features_49_conv_0(add_43)
        features_49_conv_1 = self.features_49_conv_1(features_49_conv_0)
        sigmoid_120 = torch.sigmoid(features_49_conv_1)
        mul_155 = features_49_conv_1.__mul__(sigmoid_120)
        features_49_conv_3 = self.features_49_conv_3(mul_155)
        features_49_conv_4 = self.features_49_conv_4(features_49_conv_3)
        sigmoid_121 = torch.sigmoid(features_49_conv_4)
        mul_156 = features_49_conv_4.__mul__(sigmoid_121)
        size_36 = mul_156.size()
        features_49_conv_6_avg_pool = self.features_49_conv_6_avg_pool(mul_156)
        view_71 = features_49_conv_6_avg_pool.view(size_36[0], size_36[1])
        features_49_conv_6_fc_0 = self.features_49_conv_6_fc_0(view_71)
        sigmoid_122 = torch.sigmoid(features_49_conv_6_fc_0)
        mul_157 = features_49_conv_6_fc_0.__mul__(sigmoid_122)
        features_49_conv_6_fc_2 = self.features_49_conv_6_fc_2(mul_157)
        features_49_conv_6_fc_3 = self.features_49_conv_6_fc_3(features_49_conv_6_fc_2)
        view_72 = features_49_conv_6_fc_3.view(size_36[0], size_36[1], 1, 1)
        mul_158 = mul_156.__mul__(view_72)
        features_49_conv_7 = self.features_49_conv_7(mul_158)
        features_49_conv_8 = self.features_49_conv_8(features_49_conv_7)
        add_44 = add_43.__add__(features_49_conv_8)
        features_50_conv_0 = self.features_50_conv_0(add_44)
        features_50_conv_1 = self.features_50_conv_1(features_50_conv_0)
        sigmoid_123 = torch.sigmoid(features_50_conv_1)
        mul_159 = features_50_conv_1.__mul__(sigmoid_123)
        features_50_conv_3 = self.features_50_conv_3(mul_159)
        features_50_conv_4 = self.features_50_conv_4(features_50_conv_3)
        sigmoid_124 = torch.sigmoid(features_50_conv_4)
        mul_160 = features_50_conv_4.__mul__(sigmoid_124)
        size_37 = mul_160.size()
        features_50_conv_6_avg_pool = self.features_50_conv_6_avg_pool(mul_160)
        view_73 = features_50_conv_6_avg_pool.view(size_37[0], size_37[1])
        features_50_conv_6_fc_0 = self.features_50_conv_6_fc_0(view_73)
        sigmoid_125 = torch.sigmoid(features_50_conv_6_fc_0)
        mul_161 = features_50_conv_6_fc_0.__mul__(sigmoid_125)
        features_50_conv_6_fc_2 = self.features_50_conv_6_fc_2(mul_161)
        features_50_conv_6_fc_3 = self.features_50_conv_6_fc_3(features_50_conv_6_fc_2)
        view_74 = features_50_conv_6_fc_3.view(size_37[0], size_37[1], 1, 1)
        mul_162 = mul_160.__mul__(view_74)
        features_50_conv_7 = self.features_50_conv_7(mul_162)
        features_50_conv_8 = self.features_50_conv_8(features_50_conv_7)
        add_45 = add_44.__add__(features_50_conv_8)
        features_51_conv_0 = self.features_51_conv_0(add_45)
        features_51_conv_1 = self.features_51_conv_1(features_51_conv_0)
        sigmoid_126 = torch.sigmoid(features_51_conv_1)
        mul_163 = features_51_conv_1.__mul__(sigmoid_126)
        features_51_conv_3 = self.features_51_conv_3(mul_163)
        features_51_conv_4 = self.features_51_conv_4(features_51_conv_3)
        sigmoid_127 = torch.sigmoid(features_51_conv_4)
        mul_164 = features_51_conv_4.__mul__(sigmoid_127)
        size_38 = mul_164.size()
        features_51_conv_6_avg_pool = self.features_51_conv_6_avg_pool(mul_164)
        view_75 = features_51_conv_6_avg_pool.view(size_38[0], size_38[1])
        features_51_conv_6_fc_0 = self.features_51_conv_6_fc_0(view_75)
        sigmoid_128 = torch.sigmoid(features_51_conv_6_fc_0)
        mul_165 = features_51_conv_6_fc_0.__mul__(sigmoid_128)
        features_51_conv_6_fc_2 = self.features_51_conv_6_fc_2(mul_165)
        features_51_conv_6_fc_3 = self.features_51_conv_6_fc_3(features_51_conv_6_fc_2)
        view_76 = features_51_conv_6_fc_3.view(size_38[0], size_38[1], 1, 1)
        mul_166 = mul_164.__mul__(view_76)
        features_51_conv_7 = self.features_51_conv_7(mul_166)
        features_51_conv_8 = self.features_51_conv_8(features_51_conv_7)
        add_46 = add_45.__add__(features_51_conv_8)
        features_52_conv_0 = self.features_52_conv_0(add_46)
        features_52_conv_1 = self.features_52_conv_1(features_52_conv_0)
        sigmoid_129 = torch.sigmoid(features_52_conv_1)
        mul_167 = features_52_conv_1.__mul__(sigmoid_129)
        features_52_conv_3 = self.features_52_conv_3(mul_167)
        features_52_conv_4 = self.features_52_conv_4(features_52_conv_3)
        sigmoid_130 = torch.sigmoid(features_52_conv_4)
        mul_168 = features_52_conv_4.__mul__(sigmoid_130)
        size_39 = mul_168.size()
        features_52_conv_6_avg_pool = self.features_52_conv_6_avg_pool(mul_168)
        view_77 = features_52_conv_6_avg_pool.view(size_39[0], size_39[1])
        features_52_conv_6_fc_0 = self.features_52_conv_6_fc_0(view_77)
        sigmoid_131 = torch.sigmoid(features_52_conv_6_fc_0)
        mul_169 = features_52_conv_6_fc_0.__mul__(sigmoid_131)
        features_52_conv_6_fc_2 = self.features_52_conv_6_fc_2(mul_169)
        features_52_conv_6_fc_3 = self.features_52_conv_6_fc_3(features_52_conv_6_fc_2)
        view_78 = features_52_conv_6_fc_3.view(size_39[0], size_39[1], 1, 1)
        mul_170 = mul_168.__mul__(view_78)
        features_52_conv_7 = self.features_52_conv_7(mul_170)
        features_52_conv_8 = self.features_52_conv_8(features_52_conv_7)
        add_47 = add_46.__add__(features_52_conv_8)
        features_53_conv_0 = self.features_53_conv_0(add_47)
        features_53_conv_1 = self.features_53_conv_1(features_53_conv_0)
        sigmoid_132 = torch.sigmoid(features_53_conv_1)
        mul_171 = features_53_conv_1.__mul__(sigmoid_132)
        features_53_conv_3 = self.features_53_conv_3(mul_171)
        features_53_conv_4 = self.features_53_conv_4(features_53_conv_3)
        sigmoid_133 = torch.sigmoid(features_53_conv_4)
        mul_172 = features_53_conv_4.__mul__(sigmoid_133)
        size_40 = mul_172.size()
        features_53_conv_6_avg_pool = self.features_53_conv_6_avg_pool(mul_172)
        view_79 = features_53_conv_6_avg_pool.view(size_40[0], size_40[1])
        features_53_conv_6_fc_0 = self.features_53_conv_6_fc_0(view_79)
        sigmoid_134 = torch.sigmoid(features_53_conv_6_fc_0)
        mul_173 = features_53_conv_6_fc_0.__mul__(sigmoid_134)
        features_53_conv_6_fc_2 = self.features_53_conv_6_fc_2(mul_173)
        features_53_conv_6_fc_3 = self.features_53_conv_6_fc_3(features_53_conv_6_fc_2)
        view_80 = features_53_conv_6_fc_3.view(size_40[0], size_40[1], 1, 1)
        mul_174 = mul_172.__mul__(view_80)
        features_53_conv_7 = self.features_53_conv_7(mul_174)
        features_53_conv_8 = self.features_53_conv_8(features_53_conv_7)
        features_54_conv_0 = self.features_54_conv_0(features_53_conv_8)
        features_54_conv_1 = self.features_54_conv_1(features_54_conv_0)
        sigmoid_135 = torch.sigmoid(features_54_conv_1)
        mul_175 = features_54_conv_1.__mul__(sigmoid_135)
        features_54_conv_3 = self.features_54_conv_3(mul_175)
        features_54_conv_4 = self.features_54_conv_4(features_54_conv_3)
        sigmoid_136 = torch.sigmoid(features_54_conv_4)
        mul_176 = features_54_conv_4.__mul__(sigmoid_136)
        size_41 = mul_176.size()
        features_54_conv_6_avg_pool = self.features_54_conv_6_avg_pool(mul_176)
        view_81 = features_54_conv_6_avg_pool.view(size_41[0], size_41[1])
        features_54_conv_6_fc_0 = self.features_54_conv_6_fc_0(view_81)
        sigmoid_137 = torch.sigmoid(features_54_conv_6_fc_0)
        mul_177 = features_54_conv_6_fc_0.__mul__(sigmoid_137)
        features_54_conv_6_fc_2 = self.features_54_conv_6_fc_2(mul_177)
        features_54_conv_6_fc_3 = self.features_54_conv_6_fc_3(features_54_conv_6_fc_2)
        view_82 = features_54_conv_6_fc_3.view(size_41[0], size_41[1], 1, 1)
        mul_178 = mul_176.__mul__(view_82)
        features_54_conv_7 = self.features_54_conv_7(mul_178)
        features_54_conv_8 = self.features_54_conv_8(features_54_conv_7)
        add_48 = features_53_conv_8.__add__(features_54_conv_8)
        features_55_conv_0 = self.features_55_conv_0(add_48)
        features_55_conv_1 = self.features_55_conv_1(features_55_conv_0)
        sigmoid_138 = torch.sigmoid(features_55_conv_1)
        mul_179 = features_55_conv_1.__mul__(sigmoid_138)
        features_55_conv_3 = self.features_55_conv_3(mul_179)
        features_55_conv_4 = self.features_55_conv_4(features_55_conv_3)
        sigmoid_139 = torch.sigmoid(features_55_conv_4)
        mul_180 = features_55_conv_4.__mul__(sigmoid_139)
        size_42 = mul_180.size()
        features_55_conv_6_avg_pool = self.features_55_conv_6_avg_pool(mul_180)
        view_83 = features_55_conv_6_avg_pool.view(size_42[0], size_42[1])
        features_55_conv_6_fc_0 = self.features_55_conv_6_fc_0(view_83)
        sigmoid_140 = torch.sigmoid(features_55_conv_6_fc_0)
        mul_181 = features_55_conv_6_fc_0.__mul__(sigmoid_140)
        features_55_conv_6_fc_2 = self.features_55_conv_6_fc_2(mul_181)
        features_55_conv_6_fc_3 = self.features_55_conv_6_fc_3(features_55_conv_6_fc_2)
        view_84 = features_55_conv_6_fc_3.view(size_42[0], size_42[1], 1, 1)
        mul_182 = mul_180.__mul__(view_84)
        features_55_conv_7 = self.features_55_conv_7(mul_182)
        features_55_conv_8 = self.features_55_conv_8(features_55_conv_7)
        add_49 = add_48.__add__(features_55_conv_8)
        features_56_conv_0 = self.features_56_conv_0(add_49)
        features_56_conv_1 = self.features_56_conv_1(features_56_conv_0)
        sigmoid_141 = torch.sigmoid(features_56_conv_1)
        mul_183 = features_56_conv_1.__mul__(sigmoid_141)
        features_56_conv_3 = self.features_56_conv_3(mul_183)
        features_56_conv_4 = self.features_56_conv_4(features_56_conv_3)
        sigmoid_142 = torch.sigmoid(features_56_conv_4)
        mul_184 = features_56_conv_4.__mul__(sigmoid_142)
        size_43 = mul_184.size()
        features_56_conv_6_avg_pool = self.features_56_conv_6_avg_pool(mul_184)
        view_85 = features_56_conv_6_avg_pool.view(size_43[0], size_43[1])
        features_56_conv_6_fc_0 = self.features_56_conv_6_fc_0(view_85)
        sigmoid_143 = torch.sigmoid(features_56_conv_6_fc_0)
        mul_185 = features_56_conv_6_fc_0.__mul__(sigmoid_143)
        features_56_conv_6_fc_2 = self.features_56_conv_6_fc_2(mul_185)
        features_56_conv_6_fc_3 = self.features_56_conv_6_fc_3(features_56_conv_6_fc_2)
        view_86 = features_56_conv_6_fc_3.view(size_43[0], size_43[1], 1, 1)
        mul_186 = mul_184.__mul__(view_86)
        features_56_conv_7 = self.features_56_conv_7(mul_186)
        features_56_conv_8 = self.features_56_conv_8(features_56_conv_7)
        add_50 = add_49.__add__(features_56_conv_8)
        features_57_conv_0 = self.features_57_conv_0(add_50)
        features_57_conv_1 = self.features_57_conv_1(features_57_conv_0)
        sigmoid_144 = torch.sigmoid(features_57_conv_1)
        mul_187 = features_57_conv_1.__mul__(sigmoid_144)
        features_57_conv_3 = self.features_57_conv_3(mul_187)
        features_57_conv_4 = self.features_57_conv_4(features_57_conv_3)
        sigmoid_145 = torch.sigmoid(features_57_conv_4)
        mul_188 = features_57_conv_4.__mul__(sigmoid_145)
        size_44 = mul_188.size()
        features_57_conv_6_avg_pool = self.features_57_conv_6_avg_pool(mul_188)
        view_87 = features_57_conv_6_avg_pool.view(size_44[0], size_44[1])
        features_57_conv_6_fc_0 = self.features_57_conv_6_fc_0(view_87)
        sigmoid_146 = torch.sigmoid(features_57_conv_6_fc_0)
        mul_189 = features_57_conv_6_fc_0.__mul__(sigmoid_146)
        features_57_conv_6_fc_2 = self.features_57_conv_6_fc_2(mul_189)
        features_57_conv_6_fc_3 = self.features_57_conv_6_fc_3(features_57_conv_6_fc_2)
        view_88 = features_57_conv_6_fc_3.view(size_44[0], size_44[1], 1, 1)
        mul_190 = mul_188.__mul__(view_88)
        features_57_conv_7 = self.features_57_conv_7(mul_190)
        features_57_conv_8 = self.features_57_conv_8(features_57_conv_7)
        add_51 = add_50.__add__(features_57_conv_8)
        conv_0 = self.conv_0(add_51)
        conv_1 = self.conv_1(conv_0)
        sigmoid_147 = torch.sigmoid(conv_1)
        mul_191 = conv_1.__mul__(sigmoid_147)
        avgpool = self.avgpool(mul_191)
        size_45 = avgpool.size(0)
        view_89 = avgpool.view(size_45, -1)
        classifier = self.classifier(view_89)
        return classifier


if __name__ == "__main__":
    model = efficientnet_v2_m()

    model.eval()
    model.cpu()

    dummy_input_0 = torch.ones((1, 3, 224, 224), dtype=torch.float32)

    output = model(dummy_input_0)
    print(output)