def test_jax(self):
"""Test that a jax array is automatically converted into
a diagonal tensor"""
t = jnp.array([0.1, 0.2, 0.3])
res = fn.diag(t)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3]))
res = fn.diag(t, k=1)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3], k=1))
def test_torch(self):
"""Test that a torch tensor is automatically converted into
a diagonal tensor"""
t = torch.tensor([0.1, 0.2, 0.3])
res = fn.diag(t)
assert isinstance(res, torch.Tensor)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3]))
res = fn.diag(t, k=1)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3], k=1))
def test_array(self):
"""Test that a NumPy array is automatically converted into
a diagonal tensor"""
t = np.array([0.1, 0.2, 0.3])
res = fn.diag(t)
assert isinstance(res, np.ndarray)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3]))
res = fn.diag(t, k=1)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3], k=1))
def test_tensorflow(self):
"""Test that a tensorflow tensor is automatically converted into
a diagonal tensor"""
t = tf.Variable([0.1, 0.2, 0.3])
res = fn.diag(t)
assert isinstance(res, tf.Tensor)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3]))
res = fn.diag(t, k=1)
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.3], k=1))
def test_sequence(self, a, interface):
"""Test that a sequence is automatically converted into
a diagonal tensor"""
t = [0.1, 0.2, a]
res = fn.diag(t)
assert fn.get_interface(res) == interface
assert fn.allclose(res, onp.diag([0.1, 0.2, 0.5]))
