Raya-y

/

Bayyin_models

like 0

• "numpy.core.multiarray.scalar",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy.dtype",
• "torch.storage._load_from_bytes",
• "numpy.ndarray",
• "sklearn.svm._classes.SVC",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype"

How to fix it?

• "torch.storage._load_from_bytes",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "numpy.core.multiarray.scalar",
• "numpy.dtype"

How to fix it?

• "torch.storage._load_from_bytes",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "numpy.core.multiarray.scalar",
• "numpy.dtype"

How to fix it?

• "__main__.BiLSTMWithMeta",
• "torch.nn.modules.linear.Linear",
• "numpy.ndarray",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "collections.OrderedDict",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "torch.nn.modules.container.ModuleDict",
• "torch.nn.modules.sparse.Embedding",
• "__main__.BiLSTMWrapper",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.rnn.LSTM",
• "torch.storage._load_from_bytes"

How to fix it?

• "torch.storage._load_from_bytes",
• "collections.OrderedDict",
• "torch.Tensor",
• "builtins.int",
• "torch_geometric.inspector.Parameter",
• "torch_geometric.inspector.Inspector",
• "__main__.GNNWrapper",
• "torch_geometric.nn.dense.linear.Linear",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "torch_geometric.nn.conv.gat_conv.GATConv",
• "torch._utils._rebuild_tensor_v2",
• "builtins.type",
• "torch.nn.modules.linear.Linear",
• "__main__.GNNReadabilityGAT",
• "typing.OrderedDict",
• "torch.nn.modules.dropout.Dropout",
• "torch_geometric.inspector.Signature",
• "inspect._empty",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "_operator.getitem",
• "typing.Union"

How to fix it?

• "sklearn.ensemble._forest.RandomForestClassifier",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.dtype"

How to fix it?

• "sklearn.svm._classes.SVC",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray"

How to fix it?

• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.pooling.AdaptiveMaxPool1d",
• "torch.nn.modules.conv.Conv1d",
• "__main__.CNNReadability1D",
• "collections.OrderedDict",
• "__main__.TextCNNWrapper",
• "torch.nn.modules.dropout.Dropout",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.storage._load_from_bytes"

How to fix it?

• "builtins.bytearray",
• "xgboost.sklearn.XGBClassifier",
• "xgboost.core.Booster"

How to fix it?