Skip to content

update test suite #2329

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 10 commits into from
Feb 26, 2025
Merged

update test suite #2329

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
10 commits
Select commit Hold shift + click to select a range
ad44b0e
update tests
Feb 18, 2025
03c51af
Add improvements to the tests (#2330)
antonwolfy Feb 21, 2025
c1612c6
address comments
Feb 21, 2025
dbdbfe9
Merge branch 'master' into update-tests
vtavana Feb 21, 2025
a3ec4ba
use dpnp.allclose
Feb 24, 2025
4381c7c
Merge branch 'master' into update-tests
vtavana Feb 24, 2025
5d0d4f3
Merge branch 'master' into update-tests
vtavana Feb 24, 2025
a38b44c
revert changes and keep rtol for histogram2d test
Feb 25, 2025
d1174b0
Merge branch 'master' into update-tests
vtavana Feb 26, 2025
df90793
Merge branch 'master' into update-tests
vtavana Feb 26, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
44 changes: 21 additions & 23 deletions dpnp/tests/test_amin_amax.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@

@pytest.mark.parametrize("func", ["amax", "amin"])
@pytest.mark.parametrize("keepdims", [True, False])
@pytest.mark.parametrize("dtype", get_all_dtypes())
@pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
def test_amax_amin(func, keepdims, dtype):
a = [
[[-2.0, 3.0], [9.1, 0.2]],
Expand All @@ -22,52 +22,50 @@ def test_amax_amin(func, keepdims, dtype):
for axis in range(len(a)):
result = getattr(dpnp, func)(ia, axis=axis, keepdims=keepdims)
expected = getattr(numpy, func)(a, axis=axis, keepdims=keepdims)
assert_allclose(expected, result)
assert_allclose(result, expected)


def _get_min_max_input(type, shape):
def _get_min_max_input(dtype, shape):
size = numpy.prod(shape)
a = numpy.arange(size, dtype=type)
a = numpy.arange(size, dtype=dtype)
a[int(size / 2)] = size + 5
if numpy.issubdtype(type, numpy.unsignedinteger):
if numpy.issubdtype(dtype, numpy.unsignedinteger):
a[int(size / 3)] = size
else:
a[int(size / 3)] = -(size + 5)

return a.reshape(shape)


@pytest.mark.parametrize("dtype", get_all_dtypes(no_bool=True))
@pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True, no_bool=True))
@pytest.mark.parametrize(
"shape", [(4,), (2, 3), (4, 5, 6)], ids=["(4,)", "(2, 3)", "(4, 5, 6)"]
"shape", [(4,), (2, 3), (4, 5, 6)], ids=["1D", "2D", "3D"]
)
def test_amax_diff_shape(dtype, shape):
a = _get_min_max_input(dtype, shape)

ia = dpnp.array(a)

np_res = numpy.amax(a)
dpnp_res = dpnp.amax(ia)
assert_array_equal(dpnp_res, np_res)
expected = numpy.amax(a)
result = dpnp.amax(ia)
assert_array_equal(result, expected)

np_res = a.max()
dpnp_res = ia.max()
numpy.testing.assert_array_equal(dpnp_res, np_res)
expected = a.max()
result = ia.max()
assert_array_equal(result, expected)


@pytest.mark.parametrize("dtype", get_all_dtypes(no_bool=True))
@pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True, no_bool=True))
@pytest.mark.parametrize(
"shape", [(4,), (2, 3), (4, 5, 6)], ids=["(4,)", "(2, 3)", "(4, 5, 6)"]
"shape", [(4,), (2, 3), (4, 5, 6)], ids=["1D", "2D", "3D"]
)
def test_amin_diff_shape(dtype, shape):
a = _get_min_max_input(dtype, shape)

ia = dpnp.array(a)

np_res = numpy.amin(a)
dpnp_res = dpnp.amin(ia)
assert_array_equal(dpnp_res, np_res)
expected = numpy.amin(a)
result = dpnp.amin(ia)
assert_array_equal(result, expected)

np_res = a.min()
dpnp_res = ia.min()
assert_array_equal(dpnp_res, np_res)
expected = a.min()
result = ia.min()
assert_array_equal(result, expected)
44 changes: 15 additions & 29 deletions dpnp/tests/test_arraycreation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -216,7 +216,7 @@ def test_arange(start, stop, step, dtype):
func = lambda xp: xp.arange(start, stop=stop, step=step, dtype=dtype)

exp_array = func(numpy)
res_array = func(dpnp).asnumpy()
res_array = func(dpnp)

if dtype is None:
_device = dpctl.SyclQueue().sycl_device
Expand All @@ -234,7 +234,7 @@ def test_arange(start, stop, step, dtype):
_dtype, dpnp.complexfloating
):
assert_allclose(
exp_array, res_array, rtol=rtol_mult * numpy.finfo(_dtype).eps
res_array, exp_array, rtol=rtol_mult * numpy.finfo(_dtype).eps
)
else:
assert_array_equal(exp_array, res_array)
Expand Down Expand Up @@ -540,7 +540,7 @@ def test_vander(array, dtype, n, increase):
a_np = numpy.array(array, dtype=dtype)
a_dpnp = dpnp.array(array, dtype=dtype)

assert_allclose(vander_func(numpy, a_np), vander_func(dpnp, a_dpnp))
assert_allclose(vander_func(dpnp, a_dpnp), vander_func(numpy, a_np))


def test_vander_raise_error():
Expand All @@ -560,7 +560,7 @@ def test_vander_raise_error():
)
def test_vander_seq(sequence):
vander_func = lambda xp, x: xp.vander(x)
assert_allclose(vander_func(numpy, sequence), vander_func(dpnp, sequence))
assert_allclose(vander_func(dpnp, sequence), vander_func(numpy, sequence))


@pytest.mark.usefixtures("suppress_complex_warning")
Expand Down Expand Up @@ -607,19 +607,19 @@ def test_full_order(order1, order2):

assert ia.flags.c_contiguous == a.flags.c_contiguous
assert ia.flags.f_contiguous == a.flags.f_contiguous
assert numpy.array_equal(dpnp.asnumpy(ia), a)
assert_equal(ia, a)


def test_full_strides():
a = numpy.full((3, 3), numpy.arange(3, dtype="i4"))
ia = dpnp.full((3, 3), dpnp.arange(3, dtype="i4"))
assert ia.strides == tuple(el // a.itemsize for el in a.strides)
assert_array_equal(dpnp.asnumpy(ia), a)
assert_array_equal(ia, a)

a = numpy.full((3, 3), numpy.arange(6, dtype="i4")[::2])
ia = dpnp.full((3, 3), dpnp.arange(6, dtype="i4")[::2])
assert ia.strides == tuple(el // a.itemsize for el in a.strides)
assert_array_equal(dpnp.asnumpy(ia), a)
assert_array_equal(ia, a)


@pytest.mark.parametrize(
Expand Down Expand Up @@ -762,20 +762,12 @@ def test_linspace(start, stop, num, dtype, retstep):
assert_dtype_allclose(res_dp, res_np)


@pytest.mark.parametrize("func", ["geomspace", "linspace", "logspace"])
@pytest.mark.parametrize(
"func",
["geomspace", "linspace", "logspace"],
ids=["geomspace", "linspace", "logspace"],
"start_dtype", [numpy.float64, numpy.float32, numpy.int64, numpy.int32]
)
@pytest.mark.parametrize(
"start_dtype",
[numpy.float64, numpy.float32, numpy.int64, numpy.int32],
ids=["float64", "float32", "int64", "int32"],
)
@pytest.mark.parametrize(
"stop_dtype",
[numpy.float64, numpy.float32, numpy.int64, numpy.int32],
ids=["float64", "float32", "int64", "int32"],
"stop_dtype", [numpy.float64, numpy.float32, numpy.int64, numpy.int32]
)
def test_space_numpy_dtype(func, start_dtype, stop_dtype):
start = numpy.array([1, 2, 3], dtype=start_dtype)
Expand Down Expand Up @@ -890,10 +882,7 @@ def test_geomspace(sign, dtype, num, endpoint):
np_res = func(numpy)
dpnp_res = func(dpnp)

if dtype in [numpy.int64, numpy.int32]:
assert_allclose(dpnp_res, np_res, rtol=1)
else:
assert_allclose(dpnp_res, np_res, rtol=1e-04)
assert_allclose(dpnp_res, np_res, rtol=1e-06)


@pytest.mark.parametrize("start", [1j, 1 + 1j])
Expand All @@ -902,22 +891,22 @@ def test_geomspace_complex(start, stop):
func = lambda xp: xp.geomspace(start, stop, num=10)
np_res = func(numpy)
dpnp_res = func(dpnp)
assert_allclose(dpnp_res, np_res, rtol=1e-04)
assert_allclose(dpnp_res, np_res, rtol=1e-06)


@pytest.mark.parametrize("axis", [0, 1])
def test_geomspace_axis(axis):
func = lambda xp: xp.geomspace([2, 3], [20, 15], num=10, axis=axis)
np_res = func(numpy)
dpnp_res = func(dpnp)
assert_allclose(dpnp_res, np_res, rtol=1e-04)
assert_allclose(dpnp_res, np_res, rtol=1e-06)


def test_geomspace_num0():
func = lambda xp: xp.geomspace(1, 10, num=0, endpoint=False)
np_res = func(numpy)
dpnp_res = func(dpnp)
assert_allclose(dpnp_res, np_res, rtol=1e-04)
assert_allclose(dpnp_res, np_res)


@pytest.mark.parametrize("dtype", get_all_dtypes())
Expand All @@ -935,10 +924,7 @@ def test_logspace(dtype, num, endpoint):
np_res = func(numpy)
dpnp_res = func(dpnp)

if dtype in [numpy.int64, numpy.int32]:
assert_allclose(dpnp_res, np_res, rtol=1)
else:
assert_allclose(dpnp_res, np_res, rtol=1e-04)
assert_allclose(dpnp_res, np_res, rtol=1e-06)


@pytest.mark.parametrize("axis", [0, 1])
Expand Down
Loading
Loading