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M3Site

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Running

• "model.model.CrossAttention",
• "model.model.FeedForward",
• "typing.Union",
• "torch.nn.modules.dropout.Dropout",
• "torch_geometric.inspector.Parameter",
• "utils.util_classes.InterClassLoss",
• "model.egnn.network.EGNN",
• "torch.FloatStorage",
• "utils.util_classes.CenterLoss",
• "torch.Tensor",
• "torch_geometric.nn.norm.batch_norm.BatchNorm",
• "__builtin__.type",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "typing.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch.nn.modules.container.ModuleList",
• "_operator.getitem",
• "__builtin__.long",
• "model.egnn.network.ActiveSiteHead",
• "torch.nn.modules.activation.SiLU",
• "model.model.FunICross",
• "model.egnn.egnn_pytorch_geometric.EGNN_Sparse",
• "inspect._empty",
• "torch.nn.modules.normalization.LayerNorm",
• "torch_geometric.inspector.Signature",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "easydict.EasyDict",
• "torch_geometric.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.LongStorage",
• "model.model.AP_align_fuse_graph"

How to fix it?

• "model.model.CrossAttention",
• "model.model.FeedForward",
• "typing.Union",
• "torch.nn.modules.dropout.Dropout",
• "torch_geometric.inspector.Parameter",
• "utils.util_classes.InterClassLoss",
• "model.egnn.network.EGNN",
• "torch.FloatStorage",
• "utils.util_classes.CenterLoss",
• "torch.Tensor",
• "torch_geometric.nn.norm.batch_norm.BatchNorm",
• "__builtin__.type",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "typing.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch.nn.modules.container.ModuleList",
• "_operator.getitem",
• "__builtin__.long",
• "model.egnn.network.ActiveSiteHead",
• "torch.nn.modules.activation.SiLU",
• "model.model.FunICross",
• "model.egnn.egnn_pytorch_geometric.EGNN_Sparse",
• "inspect._empty",
• "torch.nn.modules.normalization.LayerNorm",
• "torch_geometric.inspector.Signature",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "easydict.EasyDict",
• "torch_geometric.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.LongStorage",
• "model.model.AP_align_fuse_graph"

How to fix it?

• "model.model.AP_align_fuse_graph",
• "__builtin__.set",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "model.model.CrossAttention",
• "torch.nn.modules.dropout.Dropout",
• "inspect._empty",
• "typing.Union",
• "__builtin__.long",
• "utils.util_classes.CenterLoss",
• "torch.FloatStorage",
• "typing.OrderedDict",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "torch.Tensor",
• "model.egnn.network.ActiveSiteHead",
• "utils.util_classes.InterClassLoss",
• "model.model.FeedForward",
• "torch_geometric.inspector.Parameter",
• "torch_geometric.inspector.Inspector",
• "torch.nn.modules.normalization.LayerNorm",
• "torch_geometric.nn.norm.batch_norm.BatchNorm",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.container.ModuleList",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch.nn.modules.activation.ReLU",
• "torch_geometric.inspector.Signature",
• "_operator.getitem",
• "model.egnn.egnn_pytorch_geometric.EGNN_Sparse",
• "collections.OrderedDict",
• "model.model.FunICross",
• "torch.nn.modules.activation.SiLU",
• "torch.LongStorage",
• "model.egnn.network.EGNN",
• "easydict.EasyDict",
• "__builtin__.type"

How to fix it?

• "model.model.CrossAttention",
• "model.model.FeedForward",
• "typing.Union",
• "torch.nn.modules.dropout.Dropout",
• "torch_geometric.inspector.Parameter",
• "utils.util_classes.InterClassLoss",
• "model.egnn.network.EGNN",
• "torch.FloatStorage",
• "utils.util_classes.CenterLoss",
• "torch.Tensor",
• "torch_geometric.nn.norm.batch_norm.BatchNorm",
• "__builtin__.type",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "typing.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch.nn.modules.container.ModuleList",
• "_operator.getitem",
• "__builtin__.long",
• "model.egnn.network.ActiveSiteHead",
• "torch.nn.modules.activation.SiLU",
• "model.model.FunICross",
• "model.egnn.egnn_pytorch_geometric.EGNN_Sparse",
• "inspect._empty",
• "torch.nn.modules.normalization.LayerNorm",
• "torch_geometric.inspector.Signature",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "easydict.EasyDict",
• "torch_geometric.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.LongStorage",
• "model.model.AP_align_fuse_graph"

How to fix it?

• "utils.util_classes.CenterLoss",
• "torch_geometric.inspector.Inspector",
• "torch.Tensor",
• "model.model.CrossAttention",
• "torch.nn.modules.activation.ReLU",
• "torch_geometric.nn.norm.batch_norm.BatchNorm",
• "model.egnn.network.EGNN",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.inspector.Parameter",
• "torch.nn.modules.linear.Identity",
• "torch.LongStorage",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.SiLU",
• "model.model.FunICross",
• "__builtin__.long",
• "model.egnn.network.ActiveSiteHead",
• "model.model.AP_align_fuse_graph",
• "torch._utils._rebuild_parameter",
• "easydict.EasyDict",
• "model.egnn.egnn_pytorch_geometric.EGNN_Sparse",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch.nn.modules.dropout.Dropout",
• "utils.util_classes.InterClassLoss",
• "inspect._empty",
• "__builtin__.type",
• "typing.OrderedDict",
• "model.model.FeedForward",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "typing.Union",
• "collections.OrderedDict",
• "torch_geometric.inspector.Signature",
• "torch.nn.modules.container.ModuleList",
• "_operator.getitem"

How to fix it?

• "model.model.CrossAttention",
• "model.model.FeedForward",
• "typing.Union",
• "torch.nn.modules.dropout.Dropout",
• "torch_geometric.inspector.Parameter",
• "utils.util_classes.InterClassLoss",
• "model.egnn.network.EGNN",
• "torch.FloatStorage",
• "utils.util_classes.CenterLoss",
• "torch.Tensor",
• "torch_geometric.nn.norm.batch_norm.BatchNorm",
• "__builtin__.type",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "typing.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch.nn.modules.container.ModuleList",
• "_operator.getitem",
• "__builtin__.long",
• "model.egnn.network.ActiveSiteHead",
• "torch.nn.modules.activation.SiLU",
• "model.model.FunICross",
• "model.egnn.egnn_pytorch_geometric.EGNN_Sparse",
• "inspect._empty",
• "torch.nn.modules.normalization.LayerNorm",
• "torch_geometric.inspector.Signature",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "easydict.EasyDict",
• "torch_geometric.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.LongStorage",
• "model.model.AP_align_fuse_graph"

How to fix it?