testing.py
import numpy as np
from tensorly import backend as T
def assert_array_equal(a, b, *args, **kwargs):
np.testing.assert_array_equal(T.to_numpy(a), T.to_numpy(b),
*args, **kwargs)
def assert_array_almost_equal(a, b, *args, **kwargs):
np.testing.assert_array_almost_equal(T.to_numpy(a), T.to_numpy(b),
*args, **kwargs)
def assert_equal(actual, desired, *args, **kwargs):
def _tensor_to_numpy(x):
if T.is_tensor(x):
x = T.to_numpy(x)
return x[0] if x.shape == (1,) else x
return x
np.testing.assert_equal(_tensor_to_numpy(actual),
_tensor_to_numpy(desired),
*args, **kwargs)
assert_ = np.testing.assert_
assert_raises = np.testing.assert_raises