Model(
  5.97 M, 100.000% Params, 1.46 GMac, 100.000% MACs, 
  (conv0): Conv2d(1.79 k, 0.030% Params, 1.84 MMac, 0.125% MACs, 3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (relu1): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (conv2): Conv2d(36.93 k, 0.618% Params, 37.81 MMac, 2.583% MACs, 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (relu3): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (inc0_br0_conv0): Conv2d(4.1 k, 0.069% Params, 4.19 MMac, 0.287% MACs, 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc0_br0_bn0): BatchNorm2d(128, 0.002% Params, 131.07 KMac, 0.009% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc0_br0_relu0): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (inc0_br1_conv0): Conv2d(6.14 k, 0.103% Params, 6.29 MMac, 0.430% MACs, 64, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc0_br1_bn0): BatchNorm2d(192, 0.003% Params, 196.61 KMac, 0.013% MACs, 96, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc0_br1_relu0): ReLU(0, 0.000% Params, 98.3 KMac, 0.007% MACs, inplace=True)
  (inc0_br1_conv1): Conv2d(110.59 k, 1.852% Params, 113.25 MMac, 7.736% MACs, 96, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc0_br1_bn1): BatchNorm2d(256, 0.004% Params, 262.14 KMac, 0.018% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc0_br1_relu1): ReLU(0, 0.000% Params, 131.07 KMac, 0.009% MACs, inplace=True)
  (inc0_br2_conv0): Conv2d(1.02 k, 0.017% Params, 1.05 MMac, 0.072% MACs, 64, 16, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc0_br2_bn0): BatchNorm2d(32, 0.001% Params, 32.77 KMac, 0.002% MACs, 16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc0_br2_relu0): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc0_br2_conv1): Conv2d(12.8 k, 0.214% Params, 13.11 MMac, 0.895% MACs, 16, 32, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc0_br2_bn1): BatchNorm2d(64, 0.001% Params, 65.54 KMac, 0.004% MACs, 32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc0_br2_relu1): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (inc0_br3_pool0): MaxPool2d(0, 0.000% Params, 65.54 KMac, 0.004% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc0_br3_relu1): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (inc0_br3_conv2): Conv2d(2.05 k, 0.034% Params, 2.1 MMac, 0.143% MACs, 64, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc0_br3_bn2): BatchNorm2d(64, 0.001% Params, 65.54 KMac, 0.004% MACs, 32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc0_br3_relu2): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (inc1_br0_conv0): Conv2d(32.77 k, 0.549% Params, 33.55 MMac, 2.292% MACs, 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc1_br0_bn0): BatchNorm2d(256, 0.004% Params, 262.14 KMac, 0.018% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc1_br0_relu0): ReLU(0, 0.000% Params, 131.07 KMac, 0.009% MACs, inplace=True)
  (inc1_br1_conv0): Conv2d(32.77 k, 0.549% Params, 33.55 MMac, 2.292% MACs, 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc1_br1_bn0): BatchNorm2d(256, 0.004% Params, 262.14 KMac, 0.018% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc1_br1_relu0): ReLU(0, 0.000% Params, 131.07 KMac, 0.009% MACs, inplace=True)
  (inc1_br1_conv1): Conv2d(221.18 k, 3.704% Params, 226.49 MMac, 15.473% MACs, 128, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc1_br1_bn1): BatchNorm2d(384, 0.006% Params, 393.22 KMac, 0.027% MACs, 192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc1_br1_relu1): ReLU(0, 0.000% Params, 196.61 KMac, 0.013% MACs, inplace=True)
  (inc1_br2_conv0): Conv2d(8.19 k, 0.137% Params, 8.39 MMac, 0.573% MACs, 256, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc1_br2_bn0): BatchNorm2d(64, 0.001% Params, 65.54 KMac, 0.004% MACs, 32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc1_br2_relu0): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (inc1_br2_conv1): Conv2d(76.8 k, 1.286% Params, 78.64 MMac, 5.372% MACs, 32, 96, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc1_br2_bn1): BatchNorm2d(192, 0.003% Params, 196.61 KMac, 0.013% MACs, 96, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc1_br2_relu1): ReLU(0, 0.000% Params, 98.3 KMac, 0.007% MACs, inplace=True)
  (inc1_br3_pool0): MaxPool2d(0, 0.000% Params, 262.14 KMac, 0.018% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc1_br3_relu1): ReLU(0, 0.000% Params, 262.14 KMac, 0.018% MACs, inplace=True)
  (inc1_br3_conv2): Conv2d(16.38 k, 0.274% Params, 16.78 MMac, 1.146% MACs, 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc1_br3_bn2): BatchNorm2d(128, 0.002% Params, 131.07 KMac, 0.009% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc1_br3_relu2): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (pool6): MaxPool2d(0, 0.000% Params, 491.52 KMac, 0.034% MACs, kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
  (inc2_br0_conv0): Conv2d(92.16 k, 1.544% Params, 23.59 MMac, 1.612% MACs, 480, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc2_br0_bn0): BatchNorm2d(384, 0.006% Params, 98.3 KMac, 0.007% MACs, 192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc2_br0_relu0): ReLU(0, 0.000% Params, 49.15 KMac, 0.003% MACs, inplace=True)
  (inc2_br1_conv0): Conv2d(46.08 k, 0.772% Params, 11.8 MMac, 0.806% MACs, 480, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc2_br1_bn0): BatchNorm2d(192, 0.003% Params, 49.15 KMac, 0.003% MACs, 96, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc2_br1_relu0): ReLU(0, 0.000% Params, 24.58 KMac, 0.002% MACs, inplace=True)
  (inc2_br1_conv1): Conv2d(179.71 k, 3.010% Params, 46.01 MMac, 3.143% MACs, 96, 208, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc2_br1_bn1): BatchNorm2d(416, 0.007% Params, 106.5 KMac, 0.007% MACs, 208, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc2_br1_relu1): ReLU(0, 0.000% Params, 53.25 KMac, 0.004% MACs, inplace=True)
  (inc2_br2_conv0): Conv2d(7.68 k, 0.129% Params, 1.97 MMac, 0.134% MACs, 480, 16, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc2_br2_bn0): BatchNorm2d(32, 0.001% Params, 8.19 KMac, 0.001% MACs, 16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc2_br2_relu0): ReLU(0, 0.000% Params, 4.1 KMac, 0.000% MACs, inplace=True)
  (inc2_br2_conv1): Conv2d(19.2 k, 0.322% Params, 4.92 MMac, 0.336% MACs, 16, 48, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc2_br2_bn1): BatchNorm2d(96, 0.002% Params, 24.58 KMac, 0.002% MACs, 48, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc2_br2_relu1): ReLU(0, 0.000% Params, 12.29 KMac, 0.001% MACs, inplace=True)
  (inc2_br3_pool0): MaxPool2d(0, 0.000% Params, 122.88 KMac, 0.008% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc2_br3_relu1): ReLU(0, 0.000% Params, 122.88 KMac, 0.008% MACs, inplace=True)
  (inc2_br3_conv2): Conv2d(30.72 k, 0.515% Params, 7.86 MMac, 0.537% MACs, 480, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc2_br3_bn2): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc2_br3_relu2): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc3_br0_conv0): Conv2d(81.92 k, 1.372% Params, 20.97 MMac, 1.433% MACs, 512, 160, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc3_br0_bn0): BatchNorm2d(320, 0.005% Params, 81.92 KMac, 0.006% MACs, 160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc3_br0_relu0): ReLU(0, 0.000% Params, 40.96 KMac, 0.003% MACs, inplace=True)
  (inc3_br1_conv0): Conv2d(57.34 k, 0.960% Params, 14.68 MMac, 1.003% MACs, 512, 112, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc3_br1_bn0): BatchNorm2d(224, 0.004% Params, 57.34 KMac, 0.004% MACs, 112, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc3_br1_relu0): ReLU(0, 0.000% Params, 28.67 KMac, 0.002% MACs, inplace=True)
  (inc3_br1_conv1): Conv2d(225.79 k, 3.782% Params, 57.8 MMac, 3.949% MACs, 112, 224, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc3_br1_bn1): BatchNorm2d(448, 0.008% Params, 114.69 KMac, 0.008% MACs, 224, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc3_br1_relu1): ReLU(0, 0.000% Params, 57.34 KMac, 0.004% MACs, inplace=True)
  (inc3_br2_conv0): Conv2d(12.29 k, 0.206% Params, 3.15 MMac, 0.215% MACs, 512, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc3_br2_bn0): BatchNorm2d(48, 0.001% Params, 12.29 KMac, 0.001% MACs, 24, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc3_br2_relu0): ReLU(0, 0.000% Params, 6.14 KMac, 0.000% MACs, inplace=True)
  (inc3_br2_conv1): Conv2d(38.4 k, 0.643% Params, 9.83 MMac, 0.672% MACs, 24, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc3_br2_bn1): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc3_br2_relu1): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc3_br3_pool0): MaxPool2d(0, 0.000% Params, 131.07 KMac, 0.009% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc3_br3_relu1): ReLU(0, 0.000% Params, 131.07 KMac, 0.009% MACs, inplace=True)
  (inc3_br3_conv2): Conv2d(32.77 k, 0.549% Params, 8.39 MMac, 0.573% MACs, 512, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc3_br3_bn2): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc3_br3_relu2): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc4_br0_conv0): Conv2d(65.54 k, 1.098% Params, 16.78 MMac, 1.146% MACs, 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc4_br0_bn0): BatchNorm2d(256, 0.004% Params, 65.54 KMac, 0.004% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc4_br0_relu0): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (inc4_br1_conv0): Conv2d(65.54 k, 1.098% Params, 16.78 MMac, 1.146% MACs, 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc4_br1_bn0): BatchNorm2d(256, 0.004% Params, 65.54 KMac, 0.004% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc4_br1_relu0): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (inc4_br1_conv1): Conv2d(294.91 k, 4.939% Params, 75.5 MMac, 5.158% MACs, 128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc4_br1_bn1): BatchNorm2d(512, 0.009% Params, 131.07 KMac, 0.009% MACs, 256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc4_br1_relu1): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (inc4_br2_conv0): Conv2d(12.29 k, 0.206% Params, 3.15 MMac, 0.215% MACs, 512, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc4_br2_bn0): BatchNorm2d(48, 0.001% Params, 12.29 KMac, 0.001% MACs, 24, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc4_br2_relu0): ReLU(0, 0.000% Params, 6.14 KMac, 0.000% MACs, inplace=True)
  (inc4_br2_conv1): Conv2d(38.4 k, 0.643% Params, 9.83 MMac, 0.672% MACs, 24, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc4_br2_bn1): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc4_br2_relu1): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc4_br3_pool0): MaxPool2d(0, 0.000% Params, 131.07 KMac, 0.009% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc4_br3_relu1): ReLU(0, 0.000% Params, 131.07 KMac, 0.009% MACs, inplace=True)
  (inc4_br3_conv2): Conv2d(32.77 k, 0.549% Params, 8.39 MMac, 0.573% MACs, 512, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc4_br3_bn2): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc4_br3_relu2): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc5_br0_conv0): Conv2d(57.34 k, 0.960% Params, 14.68 MMac, 1.003% MACs, 512, 112, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc5_br0_bn0): BatchNorm2d(224, 0.004% Params, 57.34 KMac, 0.004% MACs, 112, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc5_br0_relu0): ReLU(0, 0.000% Params, 28.67 KMac, 0.002% MACs, inplace=True)
  (inc5_br1_conv0): Conv2d(73.73 k, 1.235% Params, 18.87 MMac, 1.289% MACs, 512, 144, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc5_br1_bn0): BatchNorm2d(288, 0.005% Params, 73.73 KMac, 0.005% MACs, 144, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc5_br1_relu0): ReLU(0, 0.000% Params, 36.86 KMac, 0.003% MACs, inplace=True)
  (inc5_br1_conv1): Conv2d(373.25 k, 6.251% Params, 95.55 MMac, 6.527% MACs, 144, 288, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc5_br1_bn1): BatchNorm2d(576, 0.010% Params, 147.46 KMac, 0.010% MACs, 288, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc5_br1_relu1): ReLU(0, 0.000% Params, 73.73 KMac, 0.005% MACs, inplace=True)
  (inc5_br2_conv0): Conv2d(16.38 k, 0.274% Params, 4.19 MMac, 0.287% MACs, 512, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc5_br2_bn0): BatchNorm2d(64, 0.001% Params, 16.38 KMac, 0.001% MACs, 32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc5_br2_relu0): ReLU(0, 0.000% Params, 8.19 KMac, 0.001% MACs, inplace=True)
  (inc5_br2_conv1): Conv2d(51.2 k, 0.858% Params, 13.11 MMac, 0.895% MACs, 32, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc5_br2_bn1): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc5_br2_relu1): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc5_br3_pool0): MaxPool2d(0, 0.000% Params, 131.07 KMac, 0.009% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc5_br3_relu1): ReLU(0, 0.000% Params, 131.07 KMac, 0.009% MACs, inplace=True)
  (inc5_br3_conv2): Conv2d(32.77 k, 0.549% Params, 8.39 MMac, 0.573% MACs, 512, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc5_br3_bn2): BatchNorm2d(128, 0.002% Params, 32.77 KMac, 0.002% MACs, 64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc5_br3_relu2): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc6_br0_conv0): Conv2d(135.17 k, 2.264% Params, 34.6 MMac, 2.364% MACs, 528, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc6_br0_bn0): BatchNorm2d(512, 0.009% Params, 131.07 KMac, 0.009% MACs, 256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc6_br0_relu0): ReLU(0, 0.000% Params, 65.54 KMac, 0.004% MACs, inplace=True)
  (inc6_br1_conv0): Conv2d(84.48 k, 1.415% Params, 21.63 MMac, 1.477% MACs, 528, 160, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc6_br1_bn0): BatchNorm2d(320, 0.005% Params, 81.92 KMac, 0.006% MACs, 160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc6_br1_relu0): ReLU(0, 0.000% Params, 40.96 KMac, 0.003% MACs, inplace=True)
  (inc6_br1_conv1): Conv2d(460.8 k, 7.718% Params, 117.96 MMac, 8.059% MACs, 160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc6_br1_bn1): BatchNorm2d(640, 0.011% Params, 163.84 KMac, 0.011% MACs, 320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc6_br1_relu1): ReLU(0, 0.000% Params, 81.92 KMac, 0.006% MACs, inplace=True)
  (inc6_br2_conv0): Conv2d(16.9 k, 0.283% Params, 4.33 MMac, 0.295% MACs, 528, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc6_br2_bn0): BatchNorm2d(64, 0.001% Params, 16.38 KMac, 0.001% MACs, 32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc6_br2_relu0): ReLU(0, 0.000% Params, 8.19 KMac, 0.001% MACs, inplace=True)
  (inc6_br2_conv1): Conv2d(102.4 k, 1.715% Params, 26.21 MMac, 1.791% MACs, 32, 128, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc6_br2_bn1): BatchNorm2d(256, 0.004% Params, 65.54 KMac, 0.004% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc6_br2_relu1): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (inc6_br3_pool0): MaxPool2d(0, 0.000% Params, 135.17 KMac, 0.009% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc6_br3_relu1): ReLU(0, 0.000% Params, 135.17 KMac, 0.009% MACs, inplace=True)
  (inc6_br3_conv2): Conv2d(67.58 k, 1.132% Params, 17.3 MMac, 1.182% MACs, 528, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc6_br3_bn2): BatchNorm2d(256, 0.004% Params, 65.54 KMac, 0.004% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc6_br3_relu2): ReLU(0, 0.000% Params, 32.77 KMac, 0.002% MACs, inplace=True)
  (pool12): MaxPool2d(0, 0.000% Params, 212.99 KMac, 0.015% MACs, kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
  (inc7_br0_conv0): Conv2d(212.99 k, 3.567% Params, 13.63 MMac, 0.931% MACs, 832, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc7_br0_bn0): BatchNorm2d(512, 0.009% Params, 32.77 KMac, 0.002% MACs, 256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc7_br0_relu0): ReLU(0, 0.000% Params, 16.38 KMac, 0.001% MACs, inplace=True)
  (inc7_br1_conv0): Conv2d(133.12 k, 2.230% Params, 8.52 MMac, 0.582% MACs, 832, 160, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc7_br1_bn0): BatchNorm2d(320, 0.005% Params, 20.48 KMac, 0.001% MACs, 160, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc7_br1_relu0): ReLU(0, 0.000% Params, 10.24 KMac, 0.001% MACs, inplace=True)
  (inc7_br1_conv1): Conv2d(460.8 k, 7.718% Params, 29.49 MMac, 2.015% MACs, 160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc7_br1_bn1): BatchNorm2d(640, 0.011% Params, 40.96 KMac, 0.003% MACs, 320, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc7_br1_relu1): ReLU(0, 0.000% Params, 20.48 KMac, 0.001% MACs, inplace=True)
  (inc7_br2_conv0): Conv2d(26.62 k, 0.446% Params, 1.7 MMac, 0.116% MACs, 832, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc7_br2_bn0): BatchNorm2d(64, 0.001% Params, 4.1 KMac, 0.000% MACs, 32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc7_br2_relu0): ReLU(0, 0.000% Params, 2.05 KMac, 0.000% MACs, inplace=True)
  (inc7_br2_conv1): Conv2d(102.4 k, 1.715% Params, 6.55 MMac, 0.448% MACs, 32, 128, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc7_br2_bn1): BatchNorm2d(256, 0.004% Params, 16.38 KMac, 0.001% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc7_br2_relu1): ReLU(0, 0.000% Params, 8.19 KMac, 0.001% MACs, inplace=True)
  (inc7_br3_pool0): MaxPool2d(0, 0.000% Params, 53.25 KMac, 0.004% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc7_br3_relu1): ReLU(0, 0.000% Params, 53.25 KMac, 0.004% MACs, inplace=True)
  (inc7_br3_conv2): Conv2d(106.5 k, 1.784% Params, 6.82 MMac, 0.466% MACs, 832, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc7_br3_bn2): BatchNorm2d(256, 0.004% Params, 16.38 KMac, 0.001% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc7_br3_relu2): ReLU(0, 0.000% Params, 8.19 KMac, 0.001% MACs, inplace=True)
  (inc8_br0_conv0): Conv2d(319.49 k, 5.351% Params, 20.45 MMac, 1.397% MACs, 832, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc8_br0_bn0): BatchNorm2d(768, 0.013% Params, 49.15 KMac, 0.003% MACs, 384, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc8_br0_relu0): ReLU(0, 0.000% Params, 24.58 KMac, 0.002% MACs, inplace=True)
  (inc8_br1_conv0): Conv2d(159.74 k, 2.675% Params, 10.22 MMac, 0.698% MACs, 832, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc8_br1_bn0): BatchNorm2d(384, 0.006% Params, 24.58 KMac, 0.002% MACs, 192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc8_br1_relu0): ReLU(0, 0.000% Params, 12.29 KMac, 0.001% MACs, inplace=True)
  (inc8_br1_conv1): Conv2d(663.55 k, 11.113% Params, 42.47 MMac, 2.901% MACs, 192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  (inc8_br1_bn1): BatchNorm2d(768, 0.013% Params, 49.15 KMac, 0.003% MACs, 384, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc8_br1_relu1): ReLU(0, 0.000% Params, 24.58 KMac, 0.002% MACs, inplace=True)
  (inc8_br2_conv0): Conv2d(39.94 k, 0.669% Params, 2.56 MMac, 0.175% MACs, 832, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc8_br2_bn0): BatchNorm2d(96, 0.002% Params, 6.14 KMac, 0.000% MACs, 48, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc8_br2_relu0): ReLU(0, 0.000% Params, 3.07 KMac, 0.000% MACs, inplace=True)
  (inc8_br2_conv1): Conv2d(153.6 k, 2.573% Params, 9.83 MMac, 0.672% MACs, 48, 128, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)
  (inc8_br2_bn1): BatchNorm2d(256, 0.004% Params, 16.38 KMac, 0.001% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc8_br2_relu1): ReLU(0, 0.000% Params, 8.19 KMac, 0.001% MACs, inplace=True)
  (inc8_br3_pool0): MaxPool2d(0, 0.000% Params, 53.25 KMac, 0.004% MACs, kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False)
  (inc8_br3_relu1): ReLU(0, 0.000% Params, 53.25 KMac, 0.004% MACs, inplace=True)
  (inc8_br3_conv2): Conv2d(106.5 k, 1.784% Params, 6.82 MMac, 0.466% MACs, 832, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  (inc8_br3_bn2): BatchNorm2d(256, 0.004% Params, 16.38 KMac, 0.001% MACs, 128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (inc8_br3_relu2): ReLU(0, 0.000% Params, 8.19 KMac, 0.001% MACs, inplace=True)
  (aap15): AdaptiveAvgPool2d(0, 0.000% Params, 65.54 KMac, 0.004% MACs, output_size=1)
  (conv16): Conv2d(102.5 k, 1.717% Params, 102.5 KMac, 0.007% MACs, 1024, 100, kernel_size=(1, 1), stride=(1, 1))
)
