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• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.container.___torch_mangle_35.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_15.Sequential",
• "collections.OrderedDict",
• "__torch__.torchvision.models.resnet.___torch_mangle_12.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_25.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "torch.LongStorage",
• "torch.FloatStorage",
• "torch.jit._pickle.build_intlist",
• "__torch__.torchvision.models.resnet.___torch_mangle_22.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_36.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_11.Sequential",
• "__torch__.torchvision.models.resnet.___torch_mangle_4.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_17.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_29.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_39.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_13.Conv2d",
• "__torch__.torch.nn.modules.activation.LeakyReLU",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.pooling.MaxPool2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_32.Bottleneck",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.torch.nn.modules.activation.Tanh",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "torch.jit._pickle.restore_type_tag",
• "torch.jit._pickle.build_tensorlist",
• "__torch__.torch.nn.modules.linear.___torch_mangle_38.Linear",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_27.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_31.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.DeepfakeDetection.components.model_training.ResNextLSTMModel",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_7.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_5.Sequential",
• "__torch__.torch.nn.modules.linear.___torch_mangle_37.Linear",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_14.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_21.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torchvision.models.resnet.Bottleneck",
• "__torch__.torchvision.models.resnet.___torch_mangle_24.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_34.Bottleneck",
• "__torch__.torch.nn.modules.rnn.LSTM",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d"

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