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dalexanderch

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SweetNet

like 1

Runtime error

• "typing.Tuple",
• "glycowork.ml.models.SweetNet",
• "__builtin__.type",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "inspect.Parameter",
• "_operator.getitem",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.getattr",
• "torch.LongStorage",
• "inspect._empty",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "inspect._ParameterKind",
• "torch.nn.modules.activation.LeakyReLU",
• "typing.Union",
• "torch.utils.hooks.RemovableHandle",
• "torch.Tensor",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch_geometric.nn.pool.topk_pool.TopKPooling"

How to fix it?

• "typing.Tuple",
• "glycowork.ml.models.SweetNet",
• "__builtin__.type",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "inspect.Parameter",
• "_operator.getitem",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.getattr",
• "torch.LongStorage",
• "inspect._empty",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "inspect._ParameterKind",
• "torch.nn.modules.activation.LeakyReLU",
• "typing.Union",
• "torch.utils.hooks.RemovableHandle",
• "torch.Tensor",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch_geometric.nn.pool.topk_pool.TopKPooling"

How to fix it?

• "typing.Tuple",
• "glycowork.ml.models.SweetNet",
• "__builtin__.type",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "inspect.Parameter",
• "_operator.getitem",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.getattr",
• "torch.LongStorage",
• "inspect._empty",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "inspect._ParameterKind",
• "torch.nn.modules.activation.LeakyReLU",
• "typing.Union",
• "torch.utils.hooks.RemovableHandle",
• "torch.Tensor",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch_geometric.nn.pool.topk_pool.TopKPooling"

How to fix it?

• "typing.Tuple",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "__builtin__.long",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch._C._VariableFunctionsClass",
• "inspect._ParameterKind",
• "torch.LongStorage",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "inspect.Parameter",
• "collections.OrderedDict",
• "__main__.EnsembleModel",
• "__builtin__.set",
• "torch.nn.modules.sparse.Embedding",
• "typing.Union",
• "torch_geometric.nn.pool.topk_pool.TopKPooling",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "_operator.getitem",
• "torch.Tensor",
• "torch.nn.modules.activation.LeakyReLU",
• "__builtin__.getattr",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.type",
• "torch_geometric.nn.dense.linear.Linear",
• "inspect._empty",
• "glycowork.ml.models.SweetNet",
• "torch.utils.hooks.RemovableHandle"

How to fix it?

• "typing.Tuple",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "__builtin__.long",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch._C._VariableFunctionsClass",
• "inspect._ParameterKind",
• "torch.LongStorage",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "inspect.Parameter",
• "collections.OrderedDict",
• "__main__.EnsembleModel",
• "__builtin__.set",
• "torch.nn.modules.sparse.Embedding",
• "typing.Union",
• "torch_geometric.nn.pool.topk_pool.TopKPooling",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "_operator.getitem",
• "torch.Tensor",
• "torch.nn.modules.activation.LeakyReLU",
• "__builtin__.getattr",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.type",
• "torch_geometric.nn.dense.linear.Linear",
• "inspect._empty",
• "glycowork.ml.models.SweetNet",
• "torch.utils.hooks.RemovableHandle"

How to fix it?

• "typing.Tuple",
• "glycowork.ml.models.SweetNet",
• "__builtin__.type",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "inspect.Parameter",
• "_operator.getitem",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.getattr",
• "torch.LongStorage",
• "inspect._empty",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "inspect._ParameterKind",
• "torch.nn.modules.activation.LeakyReLU",
• "typing.Union",
• "torch.utils.hooks.RemovableHandle",
• "torch.Tensor",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch_geometric.nn.pool.topk_pool.TopKPooling"

How to fix it?

• "typing.Tuple",
• "glycowork.ml.models.SweetNet",
• "__builtin__.type",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "inspect.Parameter",
• "_operator.getitem",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.getattr",
• "torch.LongStorage",
• "inspect._empty",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "inspect._ParameterKind",
• "torch.nn.modules.activation.LeakyReLU",
• "typing.Union",
• "torch.utils.hooks.RemovableHandle",
• "torch.Tensor",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch_geometric.nn.pool.topk_pool.TopKPooling"

How to fix it?

• "typing.Tuple",
• "glycowork.ml.models.SweetNet",
• "__builtin__.type",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "inspect.Parameter",
• "_operator.getitem",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "torch.nn.modules.linear.Linear",
• "torch_geometric.nn.conv.graph_conv.GraphConv",
• "__builtin__.getattr",
• "torch.LongStorage",
• "inspect._empty",
• "torch._C._VariableFunctionsClass",
• "torch._utils._rebuild_parameter",
• "__builtin__.long",
• "inspect._ParameterKind",
• "torch.nn.modules.activation.LeakyReLU",
• "typing.Union",
• "torch.utils.hooks.RemovableHandle",
• "torch.Tensor",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch_geometric.nn.pool.topk_pool.TopKPooling"

How to fix it?