ccbe24760b4250aabff88168ee6a6b54247bffe5,tensorly/kruskal_tensor.py,,kruskal_normalise,#Any#Any#,104

Before Change

    if weights is not None:
        factors[0] *= weights
        if copy:
            weights = T.ones(rank, **T.context(factors[0]))
        else:
            weights[:] = 1
    else:
        weights = T.ones(rank, **T.context(factors[0]))

After Change

    if copy:
        factors = [T.copy(f) for f in factors]

    if weights is not None:
        factors[0] *= weights
    
    weights = T.ones(rank, **T.context(factors[0]))

    for factor in factors:
        scales = T.norm(factor, axis=0)

Instances