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• "torch.LongStorage",
• "torch.FloatStorage",
• "torchvision.ops.misc.SqueezeExcitation",
• "torch.nn.modules.dropout.Dropout",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.Linear",
• "torchvision.ops.stochastic_depth.StochasticDepth",
• "__builtin__.set",
• "torchvision.models.efficientnet.EfficientNet",
• "torchvision.models.efficientnet.MBConv",
• "torch.nn.modules.activation.Sigmoid",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter"

How to fix it?

• "torchvision.ops.misc.Conv2dNormActivation",
• "__builtin__.set",
• "torch.nn.modules.dropout.Dropout",
• "torchvision.models.efficientnet.MBConv",
• "torchvision.models.efficientnet.EfficientNet",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.Linear",
• "torchvision.ops.stochastic_depth.StochasticDepth",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torchvision.ops.misc.SqueezeExcitation",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.Sigmoid",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage"

How to fix it?