NePathTK

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tma-classification

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NePathTK 2

• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "torchvision.models.convnext.LayerNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torchvision.models.convnext.CNBlock",
• "torchvision.ops.stochastic_depth.StochasticDepth",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "torch.nn.modules.container.Sequential",
• "torchvision.ops.misc.Permute",
• "torch.nn.modules.flatten.Flatten",
• "torchvision.models.convnext.ConvNeXt",
• "torch.nn.modules.activation.GELU"

How to fix it?

• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "torchvision.models.convnext.LayerNorm2d",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torchvision.models.convnext.CNBlock",
• "torchvision.ops.stochastic_depth.StochasticDepth",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "torch.nn.modules.container.Sequential",
• "torchvision.ops.misc.Permute",
• "torch.nn.modules.flatten.Flatten",
• "torchvision.models.convnext.ConvNeXt",
• "torch.nn.modules.activation.GELU"

How to fix it?

• "torchvision.models.densenet._Transition",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.conv.Conv2d",
• "torch.LongStorage",
• "torch.nn.modules.linear.Linear",
• "torchvision.models.densenet._DenseBlock",
• "torchvision.models.densenet._DenseLayer",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.pooling.AvgPool2d",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?

• "torch._utils._rebuild_parameter",
• "torchvision.models.densenet._DenseBlock",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torchvision.models.densenet._Transition",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.linear.Linear",
• "torchvision.models.densenet._DenseLayer",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.AvgPool2d",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?

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

How to fix it?

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

How to fix it?

• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.resnet.ResNet",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?

• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "torch.FloatStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torchvision.models.resnet.BasicBlock",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.resnet.ResNet",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?

• "__builtin__.set",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.flatten.Flatten",
• "torch._utils._rebuild_parameter",
• "torch.LongStorage",
• "collections.OrderedDict",
• "torchvision.ops.misc.MLP",
• "torchvision.models.swin_transformer.SwinTransformer",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.ops.misc.Permute",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.FloatStorage",
• "torchvision.models.swin_transformer.ShiftedWindowAttentionV2",
• "torchvision.models.swin_transformer.SwinTransformerBlockV2",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "torchvision.models.swin_transformer.PatchMergingV2",
• "torchvision.ops.stochastic_depth.StochasticDepth",
• "torch.nn.modules.container.Sequential"

How to fix it?