TommyNgx

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sampleSGM

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• "__builtin__.set",
• "timm.layers.activations.GELU",
• "torch.nn.modules.flatten.Flatten",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.layers.grn.GlobalResponseNorm",
• "timm.models.convnext.ConvNeXtStage",
• "timm.models.convnext.ConvNeXt",
• "collections.OrderedDict",
• "timm.models.convnext.ConvNeXtBlock",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.conv.Conv2d",
• "timm.layers.classifier.NormMlpClassifierHead",
• "timm.layers.norm.LayerNorm2d",
• "timm.layers.norm.LayerNorm",
• "timm.layers.mlp.GlobalResponseNormMlp",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter"

How to fix it?

• "timm.models.convnext.ConvNeXtBlock",
• "timm.layers.classifier.NormMlpClassifierHead",
• "src.models.mil_py.MILClassifierV4",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.linear.Identity",
• "timm.models.convnext.ConvNeXtStage",
• "timm.models.convnext.ConvNeXt",
• "torch.nn.modules.container.Sequential",
• "timm.layers.grn.GlobalResponseNorm",
• "torch.nn.modules.conv.Conv2d",
• "timm.layers.norm.LayerNorm",
• "timm.layers.mlp.GlobalResponseNormMlp",
• "timm.layers.norm.LayerNorm2d",
• "torch.nn.modules.activation.Softmax",
• "timm.layers.activations.GELU",
• "src.models.mil_py._GatedAttnPool",
• "collections.OrderedDict",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.flatten.Flatten",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear"

How to fix it?

• "torch.nn.modules.flatten.Flatten",
• "timm.layers.mlp.GlobalResponseNormMlp",
• "timm.layers.norm.LayerNorm2d",
• "timm.models.convnext.ConvNeXtBlock",
• "timm.layers.grn.GlobalResponseNorm",
• "timm.layers.norm.LayerNorm",
• "timm.layers.activations.GELU",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.dropout.Dropout",
• "timm.models.convnext.ConvNeXtStage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "timm.models.convnext.ConvNeXt",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.linear.Linear",
• "timm.layers.classifier.NormMlpClassifierHead",
• "torch.nn.modules.conv.Conv2d",
• "torch.FloatStorage",
• "__builtin__.set"

How to fix it?

• "timm.layers.norm.LayerNorm",
• "torch.nn.modules.container.Sequential",
• "torch.FloatStorage",
• "timm.layers.norm.LayerNorm2d",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.flatten.Flatten",
• "timm.layers.mlp.GlobalResponseNormMlp",
• "timm.layers.activations.GELU",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Identity",
• "src.models.mil_py.MILClassifierV4",
• "timm.models.convnext.ConvNeXtBlock",
• "timm.layers.classifier.NormMlpClassifierHead",
• "torch.nn.modules.activation.ReLU",
• "timm.layers.grn.GlobalResponseNorm",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "timm.models.convnext.ConvNeXtStage",
• "torch.nn.modules.dropout.Dropout",
• "timm.models.convnext.ConvNeXt",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.normalization.LayerNorm",
• "torch._utils._rebuild_tensor_v2",
• "src.models.mil_py._GatedAttnPool",
• "torch.nn.modules.linear.Linear"

How to fix it?