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TorchscriptSplitModels

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• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_11.BatchNorm2d",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_22.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_52.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_8.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_33.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_24.Sequential",
• "__torch__.torchvision.models.resnet.___torch_mangle_5.Bottleneck",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.flatten.Flatten",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_31.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_14.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_32.Conv2d",
• "torch.FloatStorage",
• "__torch__.torchvision.models.resnet.___torch_mangle_36.Bottleneck",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_37.Conv2d",
• "__torch__.torch.nn.modules.pooling.MaxPool2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torchvision.models.resnet.___torch_mangle_39.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_38.Conv2d",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torchvision.models.resnet.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_34.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_3.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_25.Bottleneck",
• "__torch__.___torch_mangle_81.Part",
• "__torch__.torch.nn.modules.container.___torch_mangle_13.Sequential",
• "__torch__.torchvision.models.resnet.___torch_mangle_17.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_35.Sequential",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torchvision.models.resnet.___torch_mangle_28.Bottleneck"

How to fix it?