TransDInteraction
- class TransDInteraction(p=2, power_norm=True)[source]
Bases:
NormBasedInteraction
[Tuple
[FloatTensor
,FloatTensor
],Tuple
[FloatTensor
,FloatTensor
],Tuple
[FloatTensor
,FloatTensor
]]A stateful module for the TransD interaction function.
Initialize the interaction module.
- Parameters:
Attributes Summary
The symbolic shapes for entity representations
The symbolic shapes for relation representations
Methods Summary
func
(r, t, h_p, r_p, t_p, p[, power_norm])Evaluate the TransD interaction function.
Attributes Documentation
Methods Documentation
- func(r, t, h_p, r_p, t_p, p, power_norm=False)
Evaluate the TransD interaction function.
- Parameters:
h (
FloatTensor
) – shape: (*batch_dims, d_e) The head representations.r (
FloatTensor
) – shape: (*batch_dims, d_r) The relation representations.t (
FloatTensor
) – shape: (*batch_dims, d_e) The tail representations.h_p (
FloatTensor
) – shape: (*batch_dims, d_e) The head projections.r_p (
FloatTensor
) – shape: (*batch_dims, d_r) The relation projections.t_p (
FloatTensor
) – shape: (*batch_dims, d_e) The tail projections.p (
int
) – The parameter p for selecting the norm.power_norm (
bool
) – Whether to return the powered norm instead.
- Return type:
FloatTensor
- Returns:
shape: batch_dims The scores.