def __init__(self,
rank: int,
dimension: int,
name: Text,
axis_names: List[Text],
backend: base_backend.BaseBackend,
dtype: Type[np.number] = np.float64) -> None:
# TODO: Make this computation lazy, once Node doesn't require tensor
# at instatiation.
copy_tensor = self.make_copy_tensor(rank, dimension, dtype)
copy_tensor = backend.convert_to_tensor(copy_tensor)
super().__init__(copy_tensor, name, axis_names, backend)
def test_base_backend_eigs_lanczos_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.eigsh_lanczos(lambda x: x, [], np.ones((2)))
def test_base_backend_random_uniforl_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.random_uniform((2, 2))
def test_base_backend_zeros_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.zeros((2, 2), dtype=np.float64)
def test_flatten_edges_different_backend_raises_value_error(single_node_edge):
node1 = single_node_edge.node
node2 = tn.Node(np.random.rand(2, 2, 2))
node2.backend = BaseBackend()
with pytest.raises(ValueError):
tn.flatten_edges(node1.get_all_edges() + node2.get_all_edges())
def test_base_backend_broadcast_left_multiplication_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.broadcast_left_multiplication(np.ones((2, 2)), np.ones((2, 2)))
def test_base_backend_expm_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.expm(np.ones((2, 2)))
def test_base_backend_divide_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.divide(np.ones((2, 2)), np.ones((2, 2)))
def test_base_backend_shape_concat_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.shape_concat([np.ones((2, 2)), np.ones((2, 2))], 0)
def test_base_backend_rq_decompositon_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.rq_decomposition(np.ones((2, 2)), 0)
def test_base_backend_slice_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.slice(np.ones((2, 2)), (0, 1), (1, 1))
def test_base_backend_transpose_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.transpose(np.ones((2, 2)), [0, 1])
def test_base_backend_reshape_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.reshape(np.ones((2, 2)), (4, 1))
def test_base_backend_tensordot_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.tensordot(np.ones((2, 2)), np.ones((2, 2)), axes=[[0], [0]])
def test_base_backend_name():
backend = BaseBackend()
assert backend.name == "base backend"
def test_base_backend_subtraction_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.subtraction(np.ones((2, 2)), np.ones((2, 2)))
def test_base_backend_multiply_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.multiply(np.ones((2, 2)), np.ones((2, 2)))
def test_base_backend_convert_to_tensor_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.convert_to_tensor(np.ones((2, 2)))
def test_base_backend_index_update_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.index_update(np.ones((2, 2)), np.ones((2, 2)), np.ones((2, 2)))
def test_base_backend_outer_product_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.outer_product(np.ones((2, 2)), np.ones((2, 2)))
def test_base_backend_sparse_shape_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.sparse_shape(np.ones((2, 2)))
def test_base_backend_einsul_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.einsum("ii", np.ones((2, 2)))
def test_switch_backend_raises_error(backend):
a = tn.Node(np.random.rand(3, 3, 3))
a.backend = BaseBackend()
with pytest.raises(NotImplementedError):
tn.switch_backend({a}, backend)
def test_base_backend_eye_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.eye(2, dtype=np.float64)
