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GH29BERT

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Running

• "torch.nn.modules.conv.Conv1d",
• "tape.models.modeling_bert.ProteinBertEncoder",
• "torch.nn.modules.sparse.Embedding",
• "torch.FloatStorage",
• "tape.models.modeling_bert.ProteinBertPooler",
• "torch.nn.modules.dropout.Dropout",
• "tape.models.modeling_bert.ProteinBertEmbeddings",
• "tape.models.modeling_bert.ProteinBertLayer",
• "tape.models.modeling_utils.MLMHead",
• "tape.models.modeling_utils.PredictionHeadTransform",
• "tape.models.modeling_bert.ProteinBertSelfAttention",
• "torch.nn.modules.linear.Linear",
• "tape.models.modeling_bert.ProteinBertAttention",
• "torch._utils._rebuild_parameter",
• "tape.models.modeling_utils.gelu",
• "__builtin__.set",
• "tape.models.modeling_bert.ProteinBertOutput",
• "tape.models.modeling_bert.ProteinBertIntermediate",
• "collections.OrderedDict",
• "tape.models.modeling_bert.ProteinBertConfig",
• "tape.models.modeling_utils.LayerNorm",
• "torch._utils._rebuild_tensor_v2",
• "tape.models.modeling_bert.ProteinBertModel",
• "tape.models.modeling_bert.ProteinBertForMaskedLM",
• "tape.models.modeling_bert.ProteinBertSelfOutput",
• "torch.nn.modules.activation.Tanh",
• "torch.nn.modules.container.ModuleList"

How to fix it?

• "tape.models.modeling_utils.LayerNorm",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.dropout.Dropout",
• "tape.models.modeling_bert.ProteinBertSelfOutput",
• "downstream_model.ClassificationModel2",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "collections.OrderedDict",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.activation.ReLU"

How to fix it?

• "tape.models.modeling_utils.LayerNorm",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.dropout.Dropout",
• "tape.models.modeling_bert.ProteinBertSelfOutput",
• "downstream_model.ClassificationModel2",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "collections.OrderedDict",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.activation.ReLU"

How to fix it?

• "torch.nn.modules.conv.Conv1d",
• "torch.nn.modules.activation.Tanh",
• "tape.models.modeling_bert.ProteinBertModel",
• "tape.models.modeling_bert.ProteinBertForMaskedLM",
• "__builtin__.set",
• "tape.models.modeling_utils.gelu",
• "tape.models.modeling_utils.LayerNorm",
• "tape.models.modeling_bert.ProteinBertLayer",
• "tape.models.modeling_utils.PredictionHeadTransform",
• "torch.device",
• "torch.nn.modules.sparse.Embedding",
• "tape.models.modeling_bert.ProteinBertConfig",
• "tape.models.modeling_utils.MLMHead",
• "tape.models.modeling_bert.ProteinBertSelfOutput",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.dropout.Dropout",
• "tape.models.modeling_bert.ProteinBertEncoder",
• "tape.models.modeling_bert.ProteinBertIntermediate",
• "tape.models.modeling_bert.ProteinBertPooler",
• "tape.models.modeling_bert.ProteinBertSelfAttention",
• "tape.models.modeling_bert.ProteinBertOutput",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "tape.models.modeling_bert.ProteinBertEmbeddings",
• "tape.models.modeling_bert.ProteinBertAttention",
• "torch.nn.parallel.data_parallel.DataParallel",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage"

How to fix it?