2D array in example code

[Marco-Santoni]

I'm going through the cp_sensory_bread_data.py example:

import logging
from scipy.io.matlab import loadmat
from sktensor import dtensor, cp_als

# Set logging to DEBUG to see CP-ALS information
logging.basicConfig(level=logging.DEBUG)

# Load Matlab data and convert it to dense tensor format
mat = loadmat('../data/sensory-bread/brod.mat')
T = dtensor(mat['X'])

# Decompose tensor using CP-ALS
P, fit, itr, exectimes = cp_als(T, 3, init='random')

If I try:

mat['X'].shape
--> (10, 88)
T.shape
--> (10, 88)

Shouldn't the tensor have a third dimension?