SenticGCNBertModel

class SenticGCNBertModel(config: sgnlp.models.sentic_gcn.config.SenticGCNBertConfig)

The SenticGCNBert Model for aspect based sentiment analysis.

This method inherits from SenticGCNBertPreTrainedModel for weights initalization and utility functions from transformer PreTrainedModel class.

Parameters

config (SenticGCNBertConfig) – Model configuration class with all parameters required for the model. Initializing with a config file does not load the weights associated with the model, only the configuration. Use the from_pretrained method to load the model weights.

forward(inputs: List[torch.Tensor], labels: Optional[torch.Tensor] = None) → sgnlp.models.sentic_gcn.modeling.SenticGCNBertModelOutput

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.