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MEDIGPT

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• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.linear.Identity",
• "efficientnet_pytorch.utils.BlockArgs",
• "torch.nn.modules.padding.ZeroPad2d",
• "torch.LongStorage",
• "__main__.MelanomaModel",
• "efficientnet_pytorch.model.MBConvBlock",
• "torch.FloatStorage",
• "efficientnet_pytorch.utils.GlobalParams",
• "torch.nn.modules.dropout.Dropout",
• "efficientnet_pytorch.utils.MemoryEfficientSwish",
• "torch._utils._rebuild_parameter",
• "efficientnet_pytorch.model.EfficientNet",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "efficientnet_pytorch.utils.Conv2dStaticSamePadding",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.container.ModuleList"

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