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Update cupy tests for dpnp.linalg.solve() #2074

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Merged
merged 3 commits into from
Sep 26, 2024
Merged

Update cupy tests for dpnp.linalg.solve() #2074

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41831be
Update cupy tests for dpnp.linalg.solve()
vlad-perevezentsev Sep 24, 2024
3ce72fe
Update CHANGELOG.md
vlad-perevezentsev Sep 26, 2024
06c70fd
Merge master into update_solve_tests
vlad-perevezentsev Sep 26, 2024
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16 changes: 12 additions & 4 deletions tests/third_party/cupy/linalg_tests/test_solve.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,14 +50,20 @@ def check_x(self, a_shape, b_shape, xp, dtype):
def test_solve(self):
self.check_x((4, 4), (4,))
self.check_x((5, 5), (5, 2))
self.check_x((2, 4, 4), (2, 4))
self.check_x((2, 5, 5), (2, 5, 2))
self.check_x((2, 3, 2, 2), (2, 3, 2))
self.check_x((2, 3, 3, 3), (2, 3, 3, 2))
self.check_x((0, 0), (0,))
self.check_x((0, 0), (0, 2))
self.check_x((0, 2, 2), (0, 2))
self.check_x((0, 2, 2), (0, 2, 3))
# In numpy 2.0 the broadcast ambiguity has been removed and now
# b is treaded as a single vector if and only if it is 1-dimensional;
# for other cases this signature must be followed
# (..., m, m), (..., m, n) -> (..., m, n)
# https://github.com/numpy/numpy/pull/25914
if numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0":
self.check_x((2, 4, 4), (2, 4))
self.check_x((2, 3, 2, 2), (2, 3, 2))
self.check_x((0, 2, 2), (0, 2))

def check_shape(self, a_shape, b_shape, error_types):
for xp, error_type in error_types.items():
Expand Down Expand Up @@ -90,7 +96,9 @@ def test_invalid_shape(self):
self.check_shape((3, 3), (2,), value_errors)
self.check_shape((3, 3), (2, 2), value_errors)
self.check_shape((3, 3, 4), (3,), linalg_errors)
self.check_shape((2, 3, 3), (3,), value_errors)
# Since numpy >= 2.0, this case does not raise an error
if numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0":
self.check_shape((2, 3, 3), (3,), value_errors)
self.check_shape((3, 3), (0,), value_errors)
self.check_shape((0, 3, 4), (3,), linalg_errors)

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