def test_order_none(self):
shape = (2, 3, 4)
a = _core.ndarray(shape, order=None)
a_cpu = numpy.ndarray(shape, order=None)
assert a.flags.c_contiguous == a_cpu.flags.c_contiguous
assert a.flags.f_contiguous == a_cpu.flags.f_contiguous
assert a.strides == a_cpu.strides
def test_copy_multi_device_non_contiguous(self, order):
arr = _core.ndarray((20,))[::2]
dev1 = cuda.Device(1)
with dev1:
arr2 = arr.copy(order)
assert arr2.device == dev1
testing.assert_array_equal(arr, arr2)
def test_copy_multi_device_non_contiguous_K(self):
arr = _core.ndarray((20,))[::2]
with cuda.Device(1):
with pytest.raises(NotImplementedError):
arr.copy('K')
def test_deepcopy_multi_device(self):
arr = _core.ndarray(self.shape)
with cuda.Device(1):
arr2 = copy.deepcopy(arr)
self._check_deepcopy(arr, arr2)
assert arr2.device == arr.device
def test_deepcopy(self):
arr = _core.ndarray(self.shape)
arr2 = copy.deepcopy(arr)
self._check_deepcopy(arr, arr2)
def setUp(self):
self.a = _core.ndarray(())
