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TorchscriptSplitModels

like 0

• "__torch__.torch.nn.modules.conv.___torch_mangle_54.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_63.Bottleneck",
• "__torch__.torchvision.models.resnet.Bottleneck",
• "__torch__.torchvision.models.resnet.___torch_mangle_49.Bottleneck",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_43.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_56.Conv2d",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_34.MaxPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_62.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_37.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_48.Sequential",
• "__torch__.torchvision.models.resnet.___torch_mangle_52.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_42.Conv2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_58.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_82.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_57.BatchNorm2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_40.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_59.Sequential",
• "__torch__.___torch_mangle_83.Part",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.conv.___torch_mangle_50.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
• "torch.jit._pickle.build_intlist",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torchvision.models.resnet.___torch_mangle_60.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_51.Conv2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_46.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_47.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_61.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_38.Sequential",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_39.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_45.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_44.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_35.Conv2d"

How to fix it?

• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torchvision.models.resnet.___torch_mangle_63.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_70.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_84.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_56.Conv2d",
• "__torch__.___torch_mangle_85.Part",
• "__torch__.torch.nn.modules.conv.___torch_mangle_62.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_37.BatchNorm2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_74.Bottleneck",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_68.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_72.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_71.Bottleneck",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_57.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_69.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_73.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_66.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_65.Conv2d",
• "collections.OrderedDict",
• "torch.jit._pickle.build_intlist",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_46.BatchNorm2d",
• "__torch__.torch.nn.modules.flatten.Flatten",
• "__torch__.torch.nn.modules.conv.___torch_mangle_61.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_67.Conv2d"

How to fix it?