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• "__torch__.torch.nn.modules.flatten.Flatten",
• "__torch__.torch.nn.modules.container.___torch_mangle_57.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_22.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_41.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_46.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_55.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_49.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_47.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_45.Sequential",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_37.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_40.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_58.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_48.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_43.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2.BatchNorm2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_42.Bottleneck",
• "__torch__.torchvision.models.resnet.___torch_mangle_24.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_25.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_44.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_35.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_29.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_34.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_38.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_53.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_60.Sequential",
• "__torch__.torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_39.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_54.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_59.Linear",
• "__torch__.torchvision.models.resnet.___torch_mangle_32.Bottleneck",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_19.MaxPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.ResNet",
• "__torch__.torchvision.models.resnet.Bottleneck",
• "__torch__.torchvision.models.resnet.___torch_mangle_52.Bottleneck",
• "__torch__.torch.nn.modules.activation.___torch_mangle_18.ReLU",
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• "__torch__.torch.nn.modules.container.___torch_mangle_51.Sequential",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_6.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_31.Sequential",
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• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_10.BatchNorm2d",
• "collections.OrderedDict"

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