in models/hrnet125.py [0:0]
def forward(self, input_1):
conv1 = self.conv1(input_1)
bn1 = self.bn1(conv1)
relu1 = self.relu1(bn1)
downsample_conv1_0 = self.downsample_conv1_0(relu1)
downsample_conv1_1 = self.downsample_conv1_1(downsample_conv1_0)
downsample_conv1_2 = self.downsample_conv1_2(downsample_conv1_1)
downsample_conv1_3 = self.downsample_conv1_3(downsample_conv1_2)
downsample_conv1_4 = self.downsample_conv1_4(downsample_conv1_3)
downsample_relu1 = self.downsample_relu1(downsample_conv1_4)
downsample_conv2_0 = self.downsample_conv2_0(downsample_relu1)
downsample_conv2_1 = self.downsample_conv2_1(downsample_conv2_0)
downsample_conv2_2 = self.downsample_conv2_2(downsample_conv2_1)
downsample_conv2_3 = self.downsample_conv2_3(downsample_conv2_2)
downsample_conv2_4 = self.downsample_conv2_4(downsample_conv2_3)
downsample_downsample_res_conv_0 = self.downsample_downsample_res_conv_0(relu1)
downsample_downsample_res_conv_1 = self.downsample_downsample_res_conv_1(downsample_downsample_res_conv_0)
downsample_downsample_res_conv_2 = self.downsample_downsample_res_conv_2(downsample_downsample_res_conv_1)
downsample_downsample_res_conv_3 = self.downsample_downsample_res_conv_3(downsample_downsample_res_conv_2)
downsample_downsample_res_conv_4 = self.downsample_downsample_res_conv_4(downsample_downsample_res_conv_3)
add_1 = torch.add(downsample_conv2_4, downsample_downsample_res_conv_4)
downsample_relu2 = self.downsample_relu2(add_1)
layer1_0_conv1_0 = self.layer1_0_conv1_0(downsample_relu2)
layer1_0_conv1_1 = self.layer1_0_conv1_1(layer1_0_conv1_0)
layer1_0_conv1_2 = self.layer1_0_conv1_2(layer1_0_conv1_1)
layer1_0_conv1_3 = self.layer1_0_conv1_3(layer1_0_conv1_2)
layer1_0_conv1_4 = self.layer1_0_conv1_4(layer1_0_conv1_3)
add_2 = torch.add(layer1_0_conv1_4, downsample_relu2)
layer1_1_conv1_0 = self.layer1_1_conv1_0(add_2)
layer1_1_conv1_1 = self.layer1_1_conv1_1(layer1_1_conv1_0)
layer1_1_conv1_2 = self.layer1_1_conv1_2(layer1_1_conv1_1)
layer1_1_conv1_3 = self.layer1_1_conv1_3(layer1_1_conv1_2)
layer1_1_conv1_4 = self.layer1_1_conv1_4(layer1_1_conv1_3)
add_3 = torch.add(layer1_1_conv1_4, add_2)
cut1_0 = self.cut1_0(add_3)
cut1_1 = self.cut1_1(cut1_0)
cut1_2 = self.cut1_2(cut1_1)
transition1_0_0_0 = self.transition1_0_0_0(cut1_2)
transition1_0_0_1 = self.transition1_0_0_1(transition1_0_0_0)
transition1_0_0_2 = self.transition1_0_0_2(transition1_0_0_1)
transition1_0_0_3 = self.transition1_0_0_3(transition1_0_0_2)
transition1_0_1 = self.transition1_0_1(transition1_0_0_3)
transition1_0_2 = self.transition1_0_2(transition1_0_1)
transition1_1_0_0_0 = self.transition1_1_0_0_0(cut1_2)
transition1_1_0_0_1 = self.transition1_1_0_0_1(transition1_1_0_0_0)
transition1_1_0_0_2 = self.transition1_1_0_0_2(transition1_1_0_0_1)
transition1_1_0_0_3 = self.transition1_1_0_0_3(transition1_1_0_0_2)
transition1_1_0_1 = self.transition1_1_0_1(transition1_1_0_0_3)
transition1_1_0_2 = self.transition1_1_0_2(transition1_1_0_1)
stage2_0_branches_0_0_conv1_0 = self.stage2_0_branches_0_0_conv1_0(transition1_0_2)
stage2_0_branches_0_0_conv1_1 = self.stage2_0_branches_0_0_conv1_1(stage2_0_branches_0_0_conv1_0)
stage2_0_branches_0_0_conv1_2 = self.stage2_0_branches_0_0_conv1_2(stage2_0_branches_0_0_conv1_1)
stage2_0_branches_0_0_conv1_3 = self.stage2_0_branches_0_0_conv1_3(stage2_0_branches_0_0_conv1_2)
stage2_0_branches_0_0_conv1_4 = self.stage2_0_branches_0_0_conv1_4(stage2_0_branches_0_0_conv1_3)
add_4 = torch.add(stage2_0_branches_0_0_conv1_4, transition1_0_2)
stage2_0_branches_0_1_0 = self.stage2_0_branches_0_1_0(add_4)
stage2_0_branches_0_1_1 = self.stage2_0_branches_0_1_1(stage2_0_branches_0_1_0)
stage2_0_branches_0_1_2 = self.stage2_0_branches_0_1_2(stage2_0_branches_0_1_1)
stage2_0_branches_1_0_conv1_0 = self.stage2_0_branches_1_0_conv1_0(transition1_1_0_2)
stage2_0_branches_1_0_conv1_1 = self.stage2_0_branches_1_0_conv1_1(stage2_0_branches_1_0_conv1_0)
stage2_0_branches_1_0_conv1_2 = self.stage2_0_branches_1_0_conv1_2(stage2_0_branches_1_0_conv1_1)
stage2_0_branches_1_0_conv1_3 = self.stage2_0_branches_1_0_conv1_3(stage2_0_branches_1_0_conv1_2)
stage2_0_branches_1_0_conv1_4 = self.stage2_0_branches_1_0_conv1_4(stage2_0_branches_1_0_conv1_3)
add_5 = torch.add(stage2_0_branches_1_0_conv1_4, transition1_1_0_2)
stage2_0_branches_1_1_0 = self.stage2_0_branches_1_1_0(add_5)
stage2_0_branches_1_1_1 = self.stage2_0_branches_1_1_1(stage2_0_branches_1_1_0)
stage2_0_branches_1_1_2 = self.stage2_0_branches_1_1_2(stage2_0_branches_1_1_1)
stage2_0_fuse_layers_0_1_0 = self.stage2_0_fuse_layers_0_1_0(stage2_0_branches_1_1_2)
stage2_0_fuse_layers_0_1_1 = self.stage2_0_fuse_layers_0_1_1(stage2_0_fuse_layers_0_1_0)
stage2_0_fuse_layers_0_1_2 = self.stage2_0_fuse_layers_0_1_2(stage2_0_fuse_layers_0_1_1)
add_6 = torch.add(stage2_0_branches_0_1_2, stage2_0_fuse_layers_0_1_2)
stage2_0_relu_cbrs_0_0_0 = self.stage2_0_relu_cbrs_0_0_0(add_6)
stage2_0_relu_cbrs_0_0_1 = self.stage2_0_relu_cbrs_0_0_1(stage2_0_relu_cbrs_0_0_0)
stage2_0_relu_cbrs_0_0_2 = self.stage2_0_relu_cbrs_0_0_2(stage2_0_relu_cbrs_0_0_1)
stage2_0_fuse_layers_1_0_0_0_0 = self.stage2_0_fuse_layers_1_0_0_0_0(stage2_0_branches_0_1_2)
stage2_0_fuse_layers_1_0_0_0_1 = self.stage2_0_fuse_layers_1_0_0_0_1(stage2_0_fuse_layers_1_0_0_0_0)
stage2_0_fuse_layers_1_0_0_0_2 = self.stage2_0_fuse_layers_1_0_0_0_2(stage2_0_fuse_layers_1_0_0_0_1)
stage2_0_fuse_layers_1_0_0_0_3 = self.stage2_0_fuse_layers_1_0_0_0_3(stage2_0_fuse_layers_1_0_0_0_2)
stage2_0_fuse_layers_1_0_0_1 = self.stage2_0_fuse_layers_1_0_0_1(stage2_0_fuse_layers_1_0_0_0_3)
add_7 = torch.add(stage2_0_fuse_layers_1_0_0_1, stage2_0_branches_1_1_2)
stage2_0_relu_cbrs_1_0_0 = self.stage2_0_relu_cbrs_1_0_0(add_7)
stage2_0_relu_cbrs_1_0_1 = self.stage2_0_relu_cbrs_1_0_1(stage2_0_relu_cbrs_1_0_0)
stage2_0_relu_cbrs_1_0_2 = self.stage2_0_relu_cbrs_1_0_2(stage2_0_relu_cbrs_1_0_1)
transition2_2_0_0_0 = self.transition2_2_0_0_0(stage2_0_relu_cbrs_1_0_2)
transition2_2_0_0_1 = self.transition2_2_0_0_1(transition2_2_0_0_0)
transition2_2_0_0_2 = self.transition2_2_0_0_2(transition2_2_0_0_1)
transition2_2_0_0_3 = self.transition2_2_0_0_3(transition2_2_0_0_2)
transition2_2_0_1 = self.transition2_2_0_1(transition2_2_0_0_3)
transition2_2_0_2 = self.transition2_2_0_2(transition2_2_0_1)
stage3_0_branches_0_0_conv1_0 = self.stage3_0_branches_0_0_conv1_0(stage2_0_relu_cbrs_0_0_2)
stage3_0_branches_0_0_conv1_1 = self.stage3_0_branches_0_0_conv1_1(stage3_0_branches_0_0_conv1_0)
stage3_0_branches_0_0_conv1_2 = self.stage3_0_branches_0_0_conv1_2(stage3_0_branches_0_0_conv1_1)
stage3_0_branches_0_0_conv1_3 = self.stage3_0_branches_0_0_conv1_3(stage3_0_branches_0_0_conv1_2)
stage3_0_branches_0_0_conv1_4 = self.stage3_0_branches_0_0_conv1_4(stage3_0_branches_0_0_conv1_3)
add_8 = torch.add(stage3_0_branches_0_0_conv1_4, stage2_0_relu_cbrs_0_0_2)
stage3_0_branches_0_1_0 = self.stage3_0_branches_0_1_0(add_8)
stage3_0_branches_0_1_1 = self.stage3_0_branches_0_1_1(stage3_0_branches_0_1_0)
stage3_0_branches_0_1_2 = self.stage3_0_branches_0_1_2(stage3_0_branches_0_1_1)
stage3_0_branches_1_0_conv1_0 = self.stage3_0_branches_1_0_conv1_0(stage2_0_relu_cbrs_1_0_2)
stage3_0_branches_1_0_conv1_1 = self.stage3_0_branches_1_0_conv1_1(stage3_0_branches_1_0_conv1_0)
stage3_0_branches_1_0_conv1_2 = self.stage3_0_branches_1_0_conv1_2(stage3_0_branches_1_0_conv1_1)
stage3_0_branches_1_0_conv1_3 = self.stage3_0_branches_1_0_conv1_3(stage3_0_branches_1_0_conv1_2)
stage3_0_branches_1_0_conv1_4 = self.stage3_0_branches_1_0_conv1_4(stage3_0_branches_1_0_conv1_3)
add_9 = torch.add(stage3_0_branches_1_0_conv1_4, stage2_0_relu_cbrs_1_0_2)
stage3_0_branches_1_1_0 = self.stage3_0_branches_1_1_0(add_9)
stage3_0_branches_1_1_1 = self.stage3_0_branches_1_1_1(stage3_0_branches_1_1_0)
stage3_0_branches_1_1_2 = self.stage3_0_branches_1_1_2(stage3_0_branches_1_1_1)
stage3_0_branches_2_0_conv1_0 = self.stage3_0_branches_2_0_conv1_0(transition2_2_0_2)
stage3_0_branches_2_0_conv1_1 = self.stage3_0_branches_2_0_conv1_1(stage3_0_branches_2_0_conv1_0)
stage3_0_branches_2_0_conv1_2 = self.stage3_0_branches_2_0_conv1_2(stage3_0_branches_2_0_conv1_1)
stage3_0_branches_2_0_conv1_3 = self.stage3_0_branches_2_0_conv1_3(stage3_0_branches_2_0_conv1_2)
stage3_0_branches_2_0_conv1_4 = self.stage3_0_branches_2_0_conv1_4(stage3_0_branches_2_0_conv1_3)
add_10 = torch.add(stage3_0_branches_2_0_conv1_4, transition2_2_0_2)
stage3_0_branches_2_1_0 = self.stage3_0_branches_2_1_0(add_10)
stage3_0_branches_2_1_1 = self.stage3_0_branches_2_1_1(stage3_0_branches_2_1_0)
stage3_0_branches_2_1_2 = self.stage3_0_branches_2_1_2(stage3_0_branches_2_1_1)
stage3_0_fuse_layers_0_1_0 = self.stage3_0_fuse_layers_0_1_0(stage3_0_branches_1_1_2)
stage3_0_fuse_layers_0_1_1 = self.stage3_0_fuse_layers_0_1_1(stage3_0_fuse_layers_0_1_0)
stage3_0_fuse_layers_0_1_2 = self.stage3_0_fuse_layers_0_1_2(stage3_0_fuse_layers_0_1_1)
add_11 = torch.add(stage3_0_branches_0_1_2, stage3_0_fuse_layers_0_1_2)
stage3_0_fuse_layers_0_2_0 = self.stage3_0_fuse_layers_0_2_0(stage3_0_branches_2_1_2)
stage3_0_fuse_layers_0_2_1 = self.stage3_0_fuse_layers_0_2_1(stage3_0_fuse_layers_0_2_0)
stage3_0_fuse_layers_0_2_2 = self.stage3_0_fuse_layers_0_2_2(stage3_0_fuse_layers_0_2_1)
add_12 = torch.add(add_11, stage3_0_fuse_layers_0_2_2)
stage3_0_relu_cbrs_0_0_0 = self.stage3_0_relu_cbrs_0_0_0(add_12)
stage3_0_relu_cbrs_0_0_1 = self.stage3_0_relu_cbrs_0_0_1(stage3_0_relu_cbrs_0_0_0)
stage3_0_relu_cbrs_0_0_2 = self.stage3_0_relu_cbrs_0_0_2(stage3_0_relu_cbrs_0_0_1)
stage3_0_fuse_layers_1_0_0_0_0 = self.stage3_0_fuse_layers_1_0_0_0_0(stage3_0_branches_0_1_2)
stage3_0_fuse_layers_1_0_0_0_1 = self.stage3_0_fuse_layers_1_0_0_0_1(stage3_0_fuse_layers_1_0_0_0_0)
stage3_0_fuse_layers_1_0_0_0_2 = self.stage3_0_fuse_layers_1_0_0_0_2(stage3_0_fuse_layers_1_0_0_0_1)
stage3_0_fuse_layers_1_0_0_0_3 = self.stage3_0_fuse_layers_1_0_0_0_3(stage3_0_fuse_layers_1_0_0_0_2)
stage3_0_fuse_layers_1_0_0_1 = self.stage3_0_fuse_layers_1_0_0_1(stage3_0_fuse_layers_1_0_0_0_3)
add_13 = torch.add(stage3_0_fuse_layers_1_0_0_1, stage3_0_branches_1_1_2)
stage3_0_fuse_layers_1_2_0 = self.stage3_0_fuse_layers_1_2_0(stage3_0_branches_2_1_2)
stage3_0_fuse_layers_1_2_1 = self.stage3_0_fuse_layers_1_2_1(stage3_0_fuse_layers_1_2_0)
stage3_0_fuse_layers_1_2_2 = self.stage3_0_fuse_layers_1_2_2(stage3_0_fuse_layers_1_2_1)
add_14 = torch.add(add_13, stage3_0_fuse_layers_1_2_2)
stage3_0_relu_cbrs_1_0_0 = self.stage3_0_relu_cbrs_1_0_0(add_14)
stage3_0_relu_cbrs_1_0_1 = self.stage3_0_relu_cbrs_1_0_1(stage3_0_relu_cbrs_1_0_0)
stage3_0_relu_cbrs_1_0_2 = self.stage3_0_relu_cbrs_1_0_2(stage3_0_relu_cbrs_1_0_1)
stage3_0_fuse_layers_2_0_0_0_0 = self.stage3_0_fuse_layers_2_0_0_0_0(stage3_0_branches_0_1_2)
stage3_0_fuse_layers_2_0_0_0_1 = self.stage3_0_fuse_layers_2_0_0_0_1(stage3_0_fuse_layers_2_0_0_0_0)
stage3_0_fuse_layers_2_0_0_0_2 = self.stage3_0_fuse_layers_2_0_0_0_2(stage3_0_fuse_layers_2_0_0_0_1)
stage3_0_fuse_layers_2_0_0_0_3 = self.stage3_0_fuse_layers_2_0_0_0_3(stage3_0_fuse_layers_2_0_0_0_2)
stage3_0_fuse_layers_2_0_0_1 = self.stage3_0_fuse_layers_2_0_0_1(stage3_0_fuse_layers_2_0_0_0_3)
stage3_0_fuse_layers_2_0_0_2 = self.stage3_0_fuse_layers_2_0_0_2(stage3_0_fuse_layers_2_0_0_1)
stage3_0_fuse_layers_2_0_1_0_0 = self.stage3_0_fuse_layers_2_0_1_0_0(stage3_0_fuse_layers_2_0_0_2)
stage3_0_fuse_layers_2_0_1_0_1 = self.stage3_0_fuse_layers_2_0_1_0_1(stage3_0_fuse_layers_2_0_1_0_0)
stage3_0_fuse_layers_2_0_1_0_2 = self.stage3_0_fuse_layers_2_0_1_0_2(stage3_0_fuse_layers_2_0_1_0_1)
stage3_0_fuse_layers_2_0_1_0_3 = self.stage3_0_fuse_layers_2_0_1_0_3(stage3_0_fuse_layers_2_0_1_0_2)
stage3_0_fuse_layers_2_0_1_1 = self.stage3_0_fuse_layers_2_0_1_1(stage3_0_fuse_layers_2_0_1_0_3)
stage3_0_fuse_layers_2_1_0_0_0 = self.stage3_0_fuse_layers_2_1_0_0_0(stage3_0_branches_1_1_2)
stage3_0_fuse_layers_2_1_0_0_1 = self.stage3_0_fuse_layers_2_1_0_0_1(stage3_0_fuse_layers_2_1_0_0_0)
stage3_0_fuse_layers_2_1_0_0_2 = self.stage3_0_fuse_layers_2_1_0_0_2(stage3_0_fuse_layers_2_1_0_0_1)
stage3_0_fuse_layers_2_1_0_0_3 = self.stage3_0_fuse_layers_2_1_0_0_3(stage3_0_fuse_layers_2_1_0_0_2)
stage3_0_fuse_layers_2_1_0_1 = self.stage3_0_fuse_layers_2_1_0_1(stage3_0_fuse_layers_2_1_0_0_3)
add_15 = torch.add(stage3_0_fuse_layers_2_0_1_1, stage3_0_fuse_layers_2_1_0_1)
add_16 = torch.add(add_15, stage3_0_branches_2_1_2)
stage3_0_relu_cbrs_2_0_0 = self.stage3_0_relu_cbrs_2_0_0(add_16)
stage3_0_relu_cbrs_2_0_1 = self.stage3_0_relu_cbrs_2_0_1(stage3_0_relu_cbrs_2_0_0)
stage3_0_relu_cbrs_2_0_2 = self.stage3_0_relu_cbrs_2_0_2(stage3_0_relu_cbrs_2_0_1)
stage3_1_branches_0_0_conv1_0 = self.stage3_1_branches_0_0_conv1_0(stage3_0_relu_cbrs_0_0_2)
stage3_1_branches_0_0_conv1_1 = self.stage3_1_branches_0_0_conv1_1(stage3_1_branches_0_0_conv1_0)
stage3_1_branches_0_0_conv1_2 = self.stage3_1_branches_0_0_conv1_2(stage3_1_branches_0_0_conv1_1)
stage3_1_branches_0_0_conv1_3 = self.stage3_1_branches_0_0_conv1_3(stage3_1_branches_0_0_conv1_2)
stage3_1_branches_0_0_conv1_4 = self.stage3_1_branches_0_0_conv1_4(stage3_1_branches_0_0_conv1_3)
add_17 = torch.add(stage3_1_branches_0_0_conv1_4, stage3_0_relu_cbrs_0_0_2)
stage3_1_branches_0_1_0 = self.stage3_1_branches_0_1_0(add_17)
stage3_1_branches_0_1_1 = self.stage3_1_branches_0_1_1(stage3_1_branches_0_1_0)
stage3_1_branches_0_1_2 = self.stage3_1_branches_0_1_2(stage3_1_branches_0_1_1)
stage3_1_branches_1_0_conv1_0 = self.stage3_1_branches_1_0_conv1_0(stage3_0_relu_cbrs_1_0_2)
stage3_1_branches_1_0_conv1_1 = self.stage3_1_branches_1_0_conv1_1(stage3_1_branches_1_0_conv1_0)
stage3_1_branches_1_0_conv1_2 = self.stage3_1_branches_1_0_conv1_2(stage3_1_branches_1_0_conv1_1)
stage3_1_branches_1_0_conv1_3 = self.stage3_1_branches_1_0_conv1_3(stage3_1_branches_1_0_conv1_2)
stage3_1_branches_1_0_conv1_4 = self.stage3_1_branches_1_0_conv1_4(stage3_1_branches_1_0_conv1_3)
add_18 = torch.add(stage3_1_branches_1_0_conv1_4, stage3_0_relu_cbrs_1_0_2)
stage3_1_branches_1_1_0 = self.stage3_1_branches_1_1_0(add_18)
stage3_1_branches_1_1_1 = self.stage3_1_branches_1_1_1(stage3_1_branches_1_1_0)
stage3_1_branches_1_1_2 = self.stage3_1_branches_1_1_2(stage3_1_branches_1_1_1)
stage3_1_branches_2_0_conv1_0 = self.stage3_1_branches_2_0_conv1_0(stage3_0_relu_cbrs_2_0_2)
stage3_1_branches_2_0_conv1_1 = self.stage3_1_branches_2_0_conv1_1(stage3_1_branches_2_0_conv1_0)
stage3_1_branches_2_0_conv1_2 = self.stage3_1_branches_2_0_conv1_2(stage3_1_branches_2_0_conv1_1)
stage3_1_branches_2_0_conv1_3 = self.stage3_1_branches_2_0_conv1_3(stage3_1_branches_2_0_conv1_2)
stage3_1_branches_2_0_conv1_4 = self.stage3_1_branches_2_0_conv1_4(stage3_1_branches_2_0_conv1_3)
add_19 = torch.add(stage3_1_branches_2_0_conv1_4, stage3_0_relu_cbrs_2_0_2)
stage3_1_branches_2_1_0 = self.stage3_1_branches_2_1_0(add_19)
stage3_1_branches_2_1_1 = self.stage3_1_branches_2_1_1(stage3_1_branches_2_1_0)
stage3_1_branches_2_1_2 = self.stage3_1_branches_2_1_2(stage3_1_branches_2_1_1)
stage3_1_fuse_layers_0_1_0 = self.stage3_1_fuse_layers_0_1_0(stage3_1_branches_1_1_2)
stage3_1_fuse_layers_0_1_1 = self.stage3_1_fuse_layers_0_1_1(stage3_1_fuse_layers_0_1_0)
stage3_1_fuse_layers_0_1_2 = self.stage3_1_fuse_layers_0_1_2(stage3_1_fuse_layers_0_1_1)
add_20 = torch.add(stage3_1_branches_0_1_2, stage3_1_fuse_layers_0_1_2)
stage3_1_fuse_layers_0_2_0 = self.stage3_1_fuse_layers_0_2_0(stage3_1_branches_2_1_2)
stage3_1_fuse_layers_0_2_1 = self.stage3_1_fuse_layers_0_2_1(stage3_1_fuse_layers_0_2_0)
stage3_1_fuse_layers_0_2_2 = self.stage3_1_fuse_layers_0_2_2(stage3_1_fuse_layers_0_2_1)
add_21 = torch.add(add_20, stage3_1_fuse_layers_0_2_2)
stage3_1_relu_cbrs_0_0_0 = self.stage3_1_relu_cbrs_0_0_0(add_21)
stage3_1_relu_cbrs_0_0_1 = self.stage3_1_relu_cbrs_0_0_1(stage3_1_relu_cbrs_0_0_0)
stage3_1_relu_cbrs_0_0_2 = self.stage3_1_relu_cbrs_0_0_2(stage3_1_relu_cbrs_0_0_1)
stage3_1_fuse_layers_1_0_0_0_0 = self.stage3_1_fuse_layers_1_0_0_0_0(stage3_1_branches_0_1_2)
stage3_1_fuse_layers_1_0_0_0_1 = self.stage3_1_fuse_layers_1_0_0_0_1(stage3_1_fuse_layers_1_0_0_0_0)
stage3_1_fuse_layers_1_0_0_0_2 = self.stage3_1_fuse_layers_1_0_0_0_2(stage3_1_fuse_layers_1_0_0_0_1)
stage3_1_fuse_layers_1_0_0_0_3 = self.stage3_1_fuse_layers_1_0_0_0_3(stage3_1_fuse_layers_1_0_0_0_2)
stage3_1_fuse_layers_1_0_0_1 = self.stage3_1_fuse_layers_1_0_0_1(stage3_1_fuse_layers_1_0_0_0_3)
add_22 = torch.add(stage3_1_fuse_layers_1_0_0_1, stage3_1_branches_1_1_2)
stage3_1_fuse_layers_1_2_0 = self.stage3_1_fuse_layers_1_2_0(stage3_1_branches_2_1_2)
stage3_1_fuse_layers_1_2_1 = self.stage3_1_fuse_layers_1_2_1(stage3_1_fuse_layers_1_2_0)
stage3_1_fuse_layers_1_2_2 = self.stage3_1_fuse_layers_1_2_2(stage3_1_fuse_layers_1_2_1)
add_23 = torch.add(add_22, stage3_1_fuse_layers_1_2_2)
stage3_1_relu_cbrs_1_0_0 = self.stage3_1_relu_cbrs_1_0_0(add_23)
stage3_1_relu_cbrs_1_0_1 = self.stage3_1_relu_cbrs_1_0_1(stage3_1_relu_cbrs_1_0_0)
stage3_1_relu_cbrs_1_0_2 = self.stage3_1_relu_cbrs_1_0_2(stage3_1_relu_cbrs_1_0_1)
stage3_1_fuse_layers_2_0_0_0_0 = self.stage3_1_fuse_layers_2_0_0_0_0(stage3_1_branches_0_1_2)
stage3_1_fuse_layers_2_0_0_0_1 = self.stage3_1_fuse_layers_2_0_0_0_1(stage3_1_fuse_layers_2_0_0_0_0)
stage3_1_fuse_layers_2_0_0_0_2 = self.stage3_1_fuse_layers_2_0_0_0_2(stage3_1_fuse_layers_2_0_0_0_1)
stage3_1_fuse_layers_2_0_0_0_3 = self.stage3_1_fuse_layers_2_0_0_0_3(stage3_1_fuse_layers_2_0_0_0_2)
stage3_1_fuse_layers_2_0_0_1 = self.stage3_1_fuse_layers_2_0_0_1(stage3_1_fuse_layers_2_0_0_0_3)
stage3_1_fuse_layers_2_0_0_2 = self.stage3_1_fuse_layers_2_0_0_2(stage3_1_fuse_layers_2_0_0_1)
stage3_1_fuse_layers_2_0_1_0_0 = self.stage3_1_fuse_layers_2_0_1_0_0(stage3_1_fuse_layers_2_0_0_2)
stage3_1_fuse_layers_2_0_1_0_1 = self.stage3_1_fuse_layers_2_0_1_0_1(stage3_1_fuse_layers_2_0_1_0_0)
stage3_1_fuse_layers_2_0_1_0_2 = self.stage3_1_fuse_layers_2_0_1_0_2(stage3_1_fuse_layers_2_0_1_0_1)
stage3_1_fuse_layers_2_0_1_0_3 = self.stage3_1_fuse_layers_2_0_1_0_3(stage3_1_fuse_layers_2_0_1_0_2)
stage3_1_fuse_layers_2_0_1_1 = self.stage3_1_fuse_layers_2_0_1_1(stage3_1_fuse_layers_2_0_1_0_3)
stage3_1_fuse_layers_2_1_0_0_0 = self.stage3_1_fuse_layers_2_1_0_0_0(stage3_1_branches_1_1_2)
stage3_1_fuse_layers_2_1_0_0_1 = self.stage3_1_fuse_layers_2_1_0_0_1(stage3_1_fuse_layers_2_1_0_0_0)
stage3_1_fuse_layers_2_1_0_0_2 = self.stage3_1_fuse_layers_2_1_0_0_2(stage3_1_fuse_layers_2_1_0_0_1)
stage3_1_fuse_layers_2_1_0_0_3 = self.stage3_1_fuse_layers_2_1_0_0_3(stage3_1_fuse_layers_2_1_0_0_2)
stage3_1_fuse_layers_2_1_0_1 = self.stage3_1_fuse_layers_2_1_0_1(stage3_1_fuse_layers_2_1_0_0_3)
add_24 = torch.add(stage3_1_fuse_layers_2_0_1_1, stage3_1_fuse_layers_2_1_0_1)
add_25 = torch.add(add_24, stage3_1_branches_2_1_2)
stage3_1_relu_cbrs_2_0_0 = self.stage3_1_relu_cbrs_2_0_0(add_25)
stage3_1_relu_cbrs_2_0_1 = self.stage3_1_relu_cbrs_2_0_1(stage3_1_relu_cbrs_2_0_0)
stage3_1_relu_cbrs_2_0_2 = self.stage3_1_relu_cbrs_2_0_2(stage3_1_relu_cbrs_2_0_1)
stage3_2_branches_0_0_conv1_0 = self.stage3_2_branches_0_0_conv1_0(stage3_1_relu_cbrs_0_0_2)
stage3_2_branches_0_0_conv1_1 = self.stage3_2_branches_0_0_conv1_1(stage3_2_branches_0_0_conv1_0)
stage3_2_branches_0_0_conv1_2 = self.stage3_2_branches_0_0_conv1_2(stage3_2_branches_0_0_conv1_1)
stage3_2_branches_0_0_conv1_3 = self.stage3_2_branches_0_0_conv1_3(stage3_2_branches_0_0_conv1_2)
stage3_2_branches_0_0_conv1_4 = self.stage3_2_branches_0_0_conv1_4(stage3_2_branches_0_0_conv1_3)
add_26 = torch.add(stage3_2_branches_0_0_conv1_4, stage3_1_relu_cbrs_0_0_2)
stage3_2_branches_0_1_0 = self.stage3_2_branches_0_1_0(add_26)
stage3_2_branches_0_1_1 = self.stage3_2_branches_0_1_1(stage3_2_branches_0_1_0)
stage3_2_branches_0_1_2 = self.stage3_2_branches_0_1_2(stage3_2_branches_0_1_1)
stage3_2_branches_1_0_conv1_0 = self.stage3_2_branches_1_0_conv1_0(stage3_1_relu_cbrs_1_0_2)
stage3_2_branches_1_0_conv1_1 = self.stage3_2_branches_1_0_conv1_1(stage3_2_branches_1_0_conv1_0)
stage3_2_branches_1_0_conv1_2 = self.stage3_2_branches_1_0_conv1_2(stage3_2_branches_1_0_conv1_1)
stage3_2_branches_1_0_conv1_3 = self.stage3_2_branches_1_0_conv1_3(stage3_2_branches_1_0_conv1_2)
stage3_2_branches_1_0_conv1_4 = self.stage3_2_branches_1_0_conv1_4(stage3_2_branches_1_0_conv1_3)
add_27 = torch.add(stage3_2_branches_1_0_conv1_4, stage3_1_relu_cbrs_1_0_2)
stage3_2_branches_1_1_0 = self.stage3_2_branches_1_1_0(add_27)
stage3_2_branches_1_1_1 = self.stage3_2_branches_1_1_1(stage3_2_branches_1_1_0)
stage3_2_branches_1_1_2 = self.stage3_2_branches_1_1_2(stage3_2_branches_1_1_1)
stage3_2_branches_2_0_conv1_0 = self.stage3_2_branches_2_0_conv1_0(stage3_1_relu_cbrs_2_0_2)
stage3_2_branches_2_0_conv1_1 = self.stage3_2_branches_2_0_conv1_1(stage3_2_branches_2_0_conv1_0)
stage3_2_branches_2_0_conv1_2 = self.stage3_2_branches_2_0_conv1_2(stage3_2_branches_2_0_conv1_1)
stage3_2_branches_2_0_conv1_3 = self.stage3_2_branches_2_0_conv1_3(stage3_2_branches_2_0_conv1_2)
stage3_2_branches_2_0_conv1_4 = self.stage3_2_branches_2_0_conv1_4(stage3_2_branches_2_0_conv1_3)
add_28 = torch.add(stage3_2_branches_2_0_conv1_4, stage3_1_relu_cbrs_2_0_2)
stage3_2_branches_2_1_0 = self.stage3_2_branches_2_1_0(add_28)
stage3_2_branches_2_1_1 = self.stage3_2_branches_2_1_1(stage3_2_branches_2_1_0)
stage3_2_branches_2_1_2 = self.stage3_2_branches_2_1_2(stage3_2_branches_2_1_1)
stage3_2_fuse_layers_0_1_0 = self.stage3_2_fuse_layers_0_1_0(stage3_2_branches_1_1_2)
stage3_2_fuse_layers_0_1_1 = self.stage3_2_fuse_layers_0_1_1(stage3_2_fuse_layers_0_1_0)
stage3_2_fuse_layers_0_1_2 = self.stage3_2_fuse_layers_0_1_2(stage3_2_fuse_layers_0_1_1)
add_29 = torch.add(stage3_2_branches_0_1_2, stage3_2_fuse_layers_0_1_2)
stage3_2_fuse_layers_0_2_0 = self.stage3_2_fuse_layers_0_2_0(stage3_2_branches_2_1_2)
stage3_2_fuse_layers_0_2_1 = self.stage3_2_fuse_layers_0_2_1(stage3_2_fuse_layers_0_2_0)
stage3_2_fuse_layers_0_2_2 = self.stage3_2_fuse_layers_0_2_2(stage3_2_fuse_layers_0_2_1)
add_30 = torch.add(add_29, stage3_2_fuse_layers_0_2_2)
stage3_2_relu_cbrs_0_0_0 = self.stage3_2_relu_cbrs_0_0_0(add_30)
stage3_2_relu_cbrs_0_0_1 = self.stage3_2_relu_cbrs_0_0_1(stage3_2_relu_cbrs_0_0_0)
stage3_2_relu_cbrs_0_0_2 = self.stage3_2_relu_cbrs_0_0_2(stage3_2_relu_cbrs_0_0_1)
stage3_2_fuse_layers_1_0_0_0_0 = self.stage3_2_fuse_layers_1_0_0_0_0(stage3_2_branches_0_1_2)
stage3_2_fuse_layers_1_0_0_0_1 = self.stage3_2_fuse_layers_1_0_0_0_1(stage3_2_fuse_layers_1_0_0_0_0)
stage3_2_fuse_layers_1_0_0_0_2 = self.stage3_2_fuse_layers_1_0_0_0_2(stage3_2_fuse_layers_1_0_0_0_1)
stage3_2_fuse_layers_1_0_0_0_3 = self.stage3_2_fuse_layers_1_0_0_0_3(stage3_2_fuse_layers_1_0_0_0_2)
stage3_2_fuse_layers_1_0_0_1 = self.stage3_2_fuse_layers_1_0_0_1(stage3_2_fuse_layers_1_0_0_0_3)
add_31 = torch.add(stage3_2_fuse_layers_1_0_0_1, stage3_2_branches_1_1_2)
stage3_2_fuse_layers_1_2_0 = self.stage3_2_fuse_layers_1_2_0(stage3_2_branches_2_1_2)
stage3_2_fuse_layers_1_2_1 = self.stage3_2_fuse_layers_1_2_1(stage3_2_fuse_layers_1_2_0)
stage3_2_fuse_layers_1_2_2 = self.stage3_2_fuse_layers_1_2_2(stage3_2_fuse_layers_1_2_1)
add_32 = torch.add(add_31, stage3_2_fuse_layers_1_2_2)
stage3_2_relu_cbrs_1_0_0 = self.stage3_2_relu_cbrs_1_0_0(add_32)
stage3_2_relu_cbrs_1_0_1 = self.stage3_2_relu_cbrs_1_0_1(stage3_2_relu_cbrs_1_0_0)
stage3_2_relu_cbrs_1_0_2 = self.stage3_2_relu_cbrs_1_0_2(stage3_2_relu_cbrs_1_0_1)
stage3_2_fuse_layers_2_0_0_0_0 = self.stage3_2_fuse_layers_2_0_0_0_0(stage3_2_branches_0_1_2)
stage3_2_fuse_layers_2_0_0_0_1 = self.stage3_2_fuse_layers_2_0_0_0_1(stage3_2_fuse_layers_2_0_0_0_0)
stage3_2_fuse_layers_2_0_0_0_2 = self.stage3_2_fuse_layers_2_0_0_0_2(stage3_2_fuse_layers_2_0_0_0_1)
stage3_2_fuse_layers_2_0_0_0_3 = self.stage3_2_fuse_layers_2_0_0_0_3(stage3_2_fuse_layers_2_0_0_0_2)
stage3_2_fuse_layers_2_0_0_1 = self.stage3_2_fuse_layers_2_0_0_1(stage3_2_fuse_layers_2_0_0_0_3)
stage3_2_fuse_layers_2_0_0_2 = self.stage3_2_fuse_layers_2_0_0_2(stage3_2_fuse_layers_2_0_0_1)
stage3_2_fuse_layers_2_0_1_0_0 = self.stage3_2_fuse_layers_2_0_1_0_0(stage3_2_fuse_layers_2_0_0_2)
stage3_2_fuse_layers_2_0_1_0_1 = self.stage3_2_fuse_layers_2_0_1_0_1(stage3_2_fuse_layers_2_0_1_0_0)
stage3_2_fuse_layers_2_0_1_0_2 = self.stage3_2_fuse_layers_2_0_1_0_2(stage3_2_fuse_layers_2_0_1_0_1)
stage3_2_fuse_layers_2_0_1_0_3 = self.stage3_2_fuse_layers_2_0_1_0_3(stage3_2_fuse_layers_2_0_1_0_2)
stage3_2_fuse_layers_2_0_1_1 = self.stage3_2_fuse_layers_2_0_1_1(stage3_2_fuse_layers_2_0_1_0_3)
stage3_2_fuse_layers_2_1_0_0_0 = self.stage3_2_fuse_layers_2_1_0_0_0(stage3_2_branches_1_1_2)
stage3_2_fuse_layers_2_1_0_0_1 = self.stage3_2_fuse_layers_2_1_0_0_1(stage3_2_fuse_layers_2_1_0_0_0)
stage3_2_fuse_layers_2_1_0_0_2 = self.stage3_2_fuse_layers_2_1_0_0_2(stage3_2_fuse_layers_2_1_0_0_1)
stage3_2_fuse_layers_2_1_0_0_3 = self.stage3_2_fuse_layers_2_1_0_0_3(stage3_2_fuse_layers_2_1_0_0_2)
stage3_2_fuse_layers_2_1_0_1 = self.stage3_2_fuse_layers_2_1_0_1(stage3_2_fuse_layers_2_1_0_0_3)
add_33 = torch.add(stage3_2_fuse_layers_2_0_1_1, stage3_2_fuse_layers_2_1_0_1)
add_34 = torch.add(add_33, stage3_2_branches_2_1_2)
stage3_2_relu_cbrs_2_0_0 = self.stage3_2_relu_cbrs_2_0_0(add_34)
stage3_2_relu_cbrs_2_0_1 = self.stage3_2_relu_cbrs_2_0_1(stage3_2_relu_cbrs_2_0_0)
stage3_2_relu_cbrs_2_0_2 = self.stage3_2_relu_cbrs_2_0_2(stage3_2_relu_cbrs_2_0_1)
stage3_3_branches_0_0_conv1_0 = self.stage3_3_branches_0_0_conv1_0(stage3_2_relu_cbrs_0_0_2)
stage3_3_branches_0_0_conv1_1 = self.stage3_3_branches_0_0_conv1_1(stage3_3_branches_0_0_conv1_0)
stage3_3_branches_0_0_conv1_2 = self.stage3_3_branches_0_0_conv1_2(stage3_3_branches_0_0_conv1_1)
stage3_3_branches_0_0_conv1_3 = self.stage3_3_branches_0_0_conv1_3(stage3_3_branches_0_0_conv1_2)
stage3_3_branches_0_0_conv1_4 = self.stage3_3_branches_0_0_conv1_4(stage3_3_branches_0_0_conv1_3)
add_35 = torch.add(stage3_3_branches_0_0_conv1_4, stage3_2_relu_cbrs_0_0_2)
stage3_3_branches_0_1_0 = self.stage3_3_branches_0_1_0(add_35)
stage3_3_branches_0_1_1 = self.stage3_3_branches_0_1_1(stage3_3_branches_0_1_0)
stage3_3_branches_0_1_2 = self.stage3_3_branches_0_1_2(stage3_3_branches_0_1_1)
stage3_3_branches_1_0_conv1_0 = self.stage3_3_branches_1_0_conv1_0(stage3_2_relu_cbrs_1_0_2)
stage3_3_branches_1_0_conv1_1 = self.stage3_3_branches_1_0_conv1_1(stage3_3_branches_1_0_conv1_0)
stage3_3_branches_1_0_conv1_2 = self.stage3_3_branches_1_0_conv1_2(stage3_3_branches_1_0_conv1_1)
stage3_3_branches_1_0_conv1_3 = self.stage3_3_branches_1_0_conv1_3(stage3_3_branches_1_0_conv1_2)
stage3_3_branches_1_0_conv1_4 = self.stage3_3_branches_1_0_conv1_4(stage3_3_branches_1_0_conv1_3)
add_36 = torch.add(stage3_3_branches_1_0_conv1_4, stage3_2_relu_cbrs_1_0_2)
stage3_3_branches_1_1_0 = self.stage3_3_branches_1_1_0(add_36)
stage3_3_branches_1_1_1 = self.stage3_3_branches_1_1_1(stage3_3_branches_1_1_0)
stage3_3_branches_1_1_2 = self.stage3_3_branches_1_1_2(stage3_3_branches_1_1_1)
stage3_3_branches_2_0_conv1_0 = self.stage3_3_branches_2_0_conv1_0(stage3_2_relu_cbrs_2_0_2)
stage3_3_branches_2_0_conv1_1 = self.stage3_3_branches_2_0_conv1_1(stage3_3_branches_2_0_conv1_0)
stage3_3_branches_2_0_conv1_2 = self.stage3_3_branches_2_0_conv1_2(stage3_3_branches_2_0_conv1_1)
stage3_3_branches_2_0_conv1_3 = self.stage3_3_branches_2_0_conv1_3(stage3_3_branches_2_0_conv1_2)
stage3_3_branches_2_0_conv1_4 = self.stage3_3_branches_2_0_conv1_4(stage3_3_branches_2_0_conv1_3)
add_37 = torch.add(stage3_3_branches_2_0_conv1_4, stage3_2_relu_cbrs_2_0_2)
stage3_3_branches_2_1_0 = self.stage3_3_branches_2_1_0(add_37)
stage3_3_branches_2_1_1 = self.stage3_3_branches_2_1_1(stage3_3_branches_2_1_0)
stage3_3_branches_2_1_2 = self.stage3_3_branches_2_1_2(stage3_3_branches_2_1_1)
stage3_3_fuse_layers_0_1_0 = self.stage3_3_fuse_layers_0_1_0(stage3_3_branches_1_1_2)
stage3_3_fuse_layers_0_1_1 = self.stage3_3_fuse_layers_0_1_1(stage3_3_fuse_layers_0_1_0)
stage3_3_fuse_layers_0_1_2 = self.stage3_3_fuse_layers_0_1_2(stage3_3_fuse_layers_0_1_1)
add_38 = torch.add(stage3_3_branches_0_1_2, stage3_3_fuse_layers_0_1_2)
stage3_3_fuse_layers_0_2_0 = self.stage3_3_fuse_layers_0_2_0(stage3_3_branches_2_1_2)
stage3_3_fuse_layers_0_2_1 = self.stage3_3_fuse_layers_0_2_1(stage3_3_fuse_layers_0_2_0)
stage3_3_fuse_layers_0_2_2 = self.stage3_3_fuse_layers_0_2_2(stage3_3_fuse_layers_0_2_1)
add_39 = torch.add(add_38, stage3_3_fuse_layers_0_2_2)
stage3_3_relu_cbrs_0_0_0 = self.stage3_3_relu_cbrs_0_0_0(add_39)
stage3_3_relu_cbrs_0_0_1 = self.stage3_3_relu_cbrs_0_0_1(stage3_3_relu_cbrs_0_0_0)
stage3_3_relu_cbrs_0_0_2 = self.stage3_3_relu_cbrs_0_0_2(stage3_3_relu_cbrs_0_0_1)
final_layers_0 = self.final_layers_0(stage3_3_relu_cbrs_0_0_2)
cat_1 = torch.cat([stage3_3_relu_cbrs_0_0_2, final_layers_0], 1)
deconv_layers_0_0_0 = self.deconv_layers_0_0_0(cat_1)
deconv_layers_0_0_1 = self.deconv_layers_0_0_1(deconv_layers_0_0_0)
deconv_layers_0_0_2 = self.deconv_layers_0_0_2(deconv_layers_0_0_1)
deconv_layers_0_0_3 = self.deconv_layers_0_0_3(deconv_layers_0_0_2)
deconv_layers_0_1_0_conv1_0 = self.deconv_layers_0_1_0_conv1_0(deconv_layers_0_0_3)
deconv_layers_0_1_0_conv1_1 = self.deconv_layers_0_1_0_conv1_1(deconv_layers_0_1_0_conv1_0)
deconv_layers_0_1_0_conv1_2 = self.deconv_layers_0_1_0_conv1_2(deconv_layers_0_1_0_conv1_1)
deconv_layers_0_1_0_conv1_3 = self.deconv_layers_0_1_0_conv1_3(deconv_layers_0_1_0_conv1_2)
deconv_layers_0_1_0_conv1_4 = self.deconv_layers_0_1_0_conv1_4(deconv_layers_0_1_0_conv1_3)
deconv_layers_0_1_0_relu1 = self.deconv_layers_0_1_0_relu1(deconv_layers_0_1_0_conv1_4)
deconv_layers_0_1_0_conv2_0 = self.deconv_layers_0_1_0_conv2_0(deconv_layers_0_1_0_relu1)
deconv_layers_0_1_0_conv2_1 = self.deconv_layers_0_1_0_conv2_1(deconv_layers_0_1_0_conv2_0)
deconv_layers_0_1_0_conv2_2 = self.deconv_layers_0_1_0_conv2_2(deconv_layers_0_1_0_conv2_1)
deconv_layers_0_1_0_conv2_3 = self.deconv_layers_0_1_0_conv2_3(deconv_layers_0_1_0_conv2_2)
deconv_layers_0_1_0_conv2_4 = self.deconv_layers_0_1_0_conv2_4(deconv_layers_0_1_0_conv2_3)
add_40 = torch.add(deconv_layers_0_1_0_conv2_4, deconv_layers_0_0_3)
final_layers_1 = self.final_layers_1(add_40)
return final_layers_0, final_layers_1