def culaDeviceSgeTransposeInplace(n, A, lda):

        status = _libcula.culaDeviceSgeTransposeInplace(n, int(A), lda)
        culaCheckStatus(status)
Scale input vectors individually to unit norm (vector length).
dataset/ETHPy150Open lebedov/scikit-cuda/skcuda/cula.py/culaDeviceSgeTransposeInplace--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/preprocessing/data.py/normalize