def test_not():
element_type = Type.boolean
shape = Shape([2])
A = Parameter(element_type, shape)
parameter_list = [A]
function = Function(NodeVector([Not(A)]), parameter_list, 'test')
backend, cf = make_backend_call_frame(function)
a = backend.make_primary_tensor_view(element_type, shape)
result = backend.make_primary_tensor_view(Type.boolean, shape)
a.write(util.numpy_to_c(np.array([True, False], dtype=np.bool)), 0, 2)
result_arr = np.array([False, False], dtype=np.bool)
result.write(util.numpy_to_c(result_arr), 0, 2)
cf.call([result], [a])
result.read(util.numpy_to_c(result_arr), 0, 2)
a_arr = np.array([True, False], dtype=np.bool)
result_arr_ref = np.logical_not(a_arr)
assert np.allclose(result_arr, result_arr_ref)
def test_not():
element_type = Type.boolean
shape = Shape([2])
A = Parameter(element_type, shape)
parameter_list = [A]
function = Function(NodeVector([Not(A)]), parameter_list, 'test')
backend = Backend.create(pytest.config.getoption('backend'))
a = backend.create_tensor(element_type, shape)
result = backend.create_tensor(Type.boolean, shape)
a.write(util.numpy_to_c(np.array([True, False], dtype=np.bool)), 0, 2)
result_arr = np.array([False, False], dtype=np.bool)
result.write(util.numpy_to_c(result_arr), 0, 2)
backend.call(backend.compile(function), [result], [a])
result.read(util.numpy_to_c(result_arr), 0, 2)
a_arr = np.array([True, False], dtype=np.bool)
result_arr_ref = np.logical_not(a_arr)
assert np.allclose(result_arr, result_arr_ref)
def test_not():
element_type = Type.boolean
shape = Shape([2])
A = Parameter(element_type, shape)
parameter_list = [A]
function = Function([Not(A)], parameter_list, 'test')
backend = Backend.create(test.BACKEND_NAME)
a = backend.create_tensor(element_type, shape)
result = backend.create_tensor(Type.boolean, shape)
a.write(util.numpy_to_c(np.array([True, False], dtype=np.bool)), 2)
result_arr = np.array([False, False], dtype=np.bool)
result.write(util.numpy_to_c(result_arr), 2)
handle = backend.compile(function)
handle.call([result], [a])
result.read(util.numpy_to_c(result_arr), 2)
a_arr = np.array([True, False], dtype=np.bool)
result_arr_ref = np.logical_not(a_arr)
assert np.allclose(result_arr, result_arr_ref)
def logical_not(node, name=None): # type: (Node, str) -> Node
"""Return node which applies logical negation to the input node elementwise."""
return Not(node)
