class IndexField(Field[torch.Tensor]): | def __init__(self, index: int, sequence_field: SequenceField) -> None
IndexField is an index into a
SequenceField, as might be used for representing
a correct answer option in a list, or a span begin and span end position in a passage, for
example. Because it's an index into a
SequenceField, we take one of those as input
and use it to compute padding lengths.
- index :
The index of the answer in the
SequenceField. This is typically the "correct answer" in some classification decision over the sequence, like where an answer span starts in SQuAD, or which answer option is correct in a multiple choice question. A value of
-1means there is no label, which can be used for padding or other purposes.
- sequence_field :
A field containing the sequence that this
IndexFieldis a pointer into.
class IndexField(Field[torch.Tensor]): | ... | @overrides | def get_padding_lengths(self) -> Dict[str, int]
class IndexField(Field[torch.Tensor]): | ... | @overrides | def as_tensor(self, padding_lengths: Dict[str, int]) -> torch.Tensor
class IndexField(Field[torch.Tensor]): | ... | @overrides | def empty_field(self)