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devops

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Runtime error

• "__main__.devops_model",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.activation.Tanh",
• "transformers.models.bert.modeling_bert.BertSelfAttention",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.bert.modeling_bert.BertAttention",
• "transformers.models.bert.modeling_bert.BertOutput",
• "torch.FloatStorage",
• "torch.LongStorage",
• "torch._utils._rebuild_parameter",
• "transformers.models.bert.modeling_bert.BertPooler",
• "torch.nn.modules.activation.LogSoftmax",
• "transformers.models.bert.configuration_bert.BertConfig",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "transformers.models.bert.modeling_bert.BertLayer",
• "transformers.models.bert.modeling_bert.BertModel",
• "collections.OrderedDict",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "__builtin__.set",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "torch._C._nn.gelu",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.Sequential"

How to fix it?

• "__builtin__.set",
• "transformers.models.deberta_v2.configuration_deberta_v2.DebertaV2Config",
• "torch._utils._rebuild_parameter",
• "transformers.models.deberta_v2.modeling_deberta_v2.DisentangledSelfAttention",
• "torch.LongStorage",
• "torch.FloatStorage",
• "transformers.models.deberta_v2.modeling_deberta_v2.StableDropout",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Model",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Encoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2SelfOutput",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Intermediate",
• "torch.nn.modules.activation.ReLU",
• "torch._C._nn.gelu",
• "torch.nn.modules.container.Sequential",
• "collections.OrderedDict",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Embeddings",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Layer",
• "__main__.devops_model",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.LogSoftmax",
• "transformers.activations.GELUActivation",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Attention",
• "transformers.models.deberta_v2.modeling_deberta_v2.DebertaV2Output",
• "torch.nn.modules.batchnorm.BatchNorm1d"

How to fix it?