def test_arithmetic_and_shapes():
a = Dense(np.random.randn(4, 3))
d = Diagonal(np.array([1.0, 2.0, 3.0]), rows=4, cols=3)
lr = LowRank(left=np.random.randn(4, 2),
right=np.random.randn(3, 2),
middle=np.random.randn(2, 2))
zero = Zero.from_(a)
one = One.from_(a)
constant = Constant.from_(2.0, a)
wb = d + lr
# Aggregate all matrices.
candidates = [a, d, lr, wb, constant, one, zero, 2, 1, 0]
# Check division.
yield assert_allclose, a.__div__(5.0), dense(a) / 5.0
yield assert_allclose, a.__truediv__(5.0), dense(a) / 5.0
# Check shapes.
for m in candidates:
yield eq, B.shape(a), (4, 3)
# Check interactions.
for m1, m2 in product(candidates, candidates):
yield assert_allclose, m1 * m2, dense(m1) * dense(m2)
yield assert_allclose, m1 + m2, dense(m1) + dense(m2)
yield assert_allclose, m1 - m2, dense(m1) - dense(m2)
def test_arithmetic_and_shapes():
a = Dense(np.random.randn(4, 3))
d = Diagonal(np.array([1.0, 2.0, 3.0]), rows=4, cols=3)
lr = LowRank(left=np.random.randn(4, 2),
right=np.random.randn(3, 2),
middle=np.random.randn(2, 2))
zero = Zero.from_(a)
one = One.from_(a)
constant = Constant.from_(2.0, a)
wb = d + lr
# Aggregate all matrices.
candidates = [a, d, lr, wb, constant, one, zero, 2, 1, 0, 2.0, 1.0, 0.0]
# Check division.
allclose(a.__div__(5.0), to_np(a) / 5.0)
allclose(a.__rdiv__(5.0), 5.0 / to_np(a))
allclose(a.__truediv__(5.0), to_np(a) / 5.0)
allclose(a.__rtruediv__(5.0), 5.0 / to_np(a))
allclose(B.divide(a, 5.0), to_np(a) / 5.0)
allclose(B.divide(a, a), B.ones(to_np(a)))
# Check shapes.
for m in candidates:
assert B.shape(a) == (4, 3)
# Check interactions.
for m1, m2 in product(candidates, candidates):
allclose(m1 * m2, to_np(m1) * to_np(m2))
allclose(m1 + m2, to_np(m1) + to_np(m2))
allclose(m1 - m2, to_np(m1) - to_np(m2))
