TuckerTensorTrain.__neg__

t3toolbox.tucker_tensor_train.TuckerTensorTrain.__neg__()

def __neg__(
        self,
) -> 'TuckerTensorTrain':

Scale a TuckerTensorTrain by -1. result=-self.

Negation is defined with respect to the dense N0 x ... x N(d-1) tensor that is represented by the TuckerTensorTrains.

Returns:

result – Negative of this TuckerTensorTrain satisfying result.to_dense() = -self.to_dense().

Return type:

TuckerTensorTrain or NDArray

See also

TuckerTensorTrain.__add__(), TuckerTensorTrain.__sub__(), TuckerTensorTrain.__mul__(), TuckerTensorTrain.inner(), TuckerTensorTrain.norm(), TuckerTensorTrain.sum()

Examples

>>> import numpy as np
>>> import t3toolbox.tucker_tensor_train as t3
>>> x = t3.TuckerTensorTrain.randn((14,15,16), (4,5,6), (1,3,2,1), stack_shape=(2,3))
>>> neg_x = -x
>>> print(np.linalg.norm(x.to_dense() + neg_x.to_dense()))
0.0