def test_lsnn_cell():
cell = lsnn.LSNNCell(2, 2)
state = cell.initial_state(5, "cpu")
data = torch.ones(5, 2)
z, state = cell(data, state)
np.testing.assert_equal(z.numpy(), np.zeros((5, 2)))
z, state = cell(data, state)
np.testing.assert_raises(
AssertionError,
np.testing.assert_equal,
state.i.detach().numpy(),
np.zeros((5, 2)),
)
def test_lsnn_cell():
cell = lsnn.LSNNCell(2, 10)
state = cell.initial_state(5, "cpu")
data = torch.zeros(5, 2)
z, state = cell(data, state)
np.testing.assert_equal(z.numpy(), np.zeros((5, 10)))
def test_lsnn_forward_shape_fail():
cell = lsnn.LSNNCell(2, 10)
state = cell.initial_state(5, "cpu")
data = torch.zeros(10)
cell.forward(data, state)
def test_lsnn_state_fail():
# pylint: disable=E1120
cell = lsnn.LSNNCell(2, 10)
cell.initial_state()
def test_lsnn_cell_param_fail():
# pylint: disable=E1120
_ = lsnn.LSNNCell()
def test_lsnn_cell():
cell = lsnn.LSNNCell(2, 10)
state = cell.initial_state(5, "cpu")
data = torch.zeros(5, 2)
z, state = cell(data, state)
assert torch.equal(z, torch.zeros(5, 10))
def test_lsnn_state_fail():
cell = lsnn.LSNNCell(2, 10)
cell.initial_state()
def test_lsnn_cell_param_fail():
cell = lsnn.LSNNCell()