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Disable w/a for dpctl-2030 on CPU device #2405

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Merged
merged 1 commit into from
Apr 2, 2025
Merged

Disable w/a for dpctl-2030 on CPU device #2405

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12 changes: 9 additions & 3 deletions dpnp/tests/test_mathematical.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@
get_integer_float_dtypes,
has_support_aspect16,
has_support_aspect64,
is_gpu_device,
numpy_version,
)
from .third_party.cupy import testing
Expand Down Expand Up @@ -2177,7 +2178,12 @@ def test_out(self, func, dt_in, dt_out):
if dt_in != dt_out:
if numpy.can_cast(dt_in, dt_out, casting="same_kind"):
# NumPy allows "same_kind" casting, dpnp does not
if func != "fix" and dt_in == dpnp.bool and dt_out == dpnp.int8:
if (
func != "fix"
and dt_in == dpnp.bool
and dt_out == dpnp.int8
and is_gpu_device()
):
# TODO: get rid of w/a when dpctl#2030 is fixed
pass
else:
Expand All @@ -2186,7 +2192,7 @@ def test_out(self, func, dt_in, dt_out):
assert_raises(ValueError, getattr(dpnp, func), ia, out=iout)
assert_raises(TypeError, getattr(numpy, func), a, out=out)
else:
if func != "fix" and dt_in == dpnp.bool:
if func != "fix" and dt_in == dpnp.bool and is_gpu_device():
# TODO: get rid of w/a when dpctl#2030 is fixed
out = out.astype(numpy.int8)
iout = iout.astype(dpnp.int8)
Expand Down Expand Up @@ -2216,7 +2222,7 @@ def test_out_usm_ndarray(self, func, dt):
out = numpy.empty(a.shape, dtype=dt)
ia, usm_out = dpnp.array(a), dpt.asarray(out)

if func != "fix" and dt == dpnp.bool:
if func != "fix" and dt == dpnp.bool and is_gpu_device():
# TODO: get rid of w/a when dpctl#2030 is fixed
out = out.astype(numpy.int8)
usm_out = dpt.asarray(usm_out, dtype=dpnp.int8)
Expand Down
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