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Merged
merged 2 commits into from
Oct 11, 2023
Merged

Broadcast tests to be running within github actions #1588

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eed91b4
Added test_dims.py to public CI
antonwolfy Oct 11, 2023
419ec71
Merge branch 'master' into test_dims_public_ci
antonwolfy Oct 11, 2023
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1 change: 1 addition & 0 deletions .github/workflows/conda-package.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@ env:
third_party/cupy/logic_tests/test_comparison.py
third_party/cupy/logic_tests/test_truth.py
third_party/cupy/manipulation_tests/test_basic.py
third_party/cupy/manipulation_tests/test_dims.py
third_party/cupy/manipulation_tests/test_join.py
third_party/cupy/manipulation_tests/test_rearrange.py
third_party/cupy/manipulation_tests/test_transpose.py
Expand Down
16 changes: 10 additions & 6 deletions tests/third_party/cupy/manipulation_tests/test_dims.py
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Expand Up @@ -7,7 +7,6 @@
from tests.third_party.cupy import testing


@testing.gpu
class TestDims(unittest.TestCase):
def check_atleast(self, func, xp):
a = testing.shaped_arange((), xp)
Expand Down Expand Up @@ -55,6 +54,13 @@ def test_broadcast_to(self, xp, dtype):
b = xp.broadcast_to(a, (2, 3, 3, 4))
return b

@testing.numpy_cupy_array_equal()
def test_broadcast_to_int(self, xp):
# Broadcast 0-dim array to 1-dim.
a = xp.array(10, dtype=xp.float32)
b = xp.broadcast_to(a, 10)
return b

@testing.for_all_dtypes()
def test_broadcast_to_fail(self, dtype):
for xp in (numpy, cupy):
Expand Down Expand Up @@ -286,7 +292,6 @@ def test_external_squeeze(self, xp):
{"shapes": [(0, 1, 1, 3), (2, 1, 0, 0, 3)]},
{"shapes": [(0, 1, 1, 0, 3), (5, 2, 0, 1, 0, 0, 3), (2, 1, 0, 0, 0, 3)]},
)
@testing.gpu
class TestBroadcast(unittest.TestCase):
def _broadcast(self, xp, dtype, shapes):
arrays = [testing.shaped_arange(s, xp, dtype) for s in shapes]
Expand All @@ -296,9 +301,9 @@ def _broadcast(self, xp, dtype, shapes):
def test_broadcast(self, dtype):
broadcast_np = self._broadcast(numpy, dtype, self.shapes)
broadcast_cp = self._broadcast(cupy, dtype, self.shapes)
self.assertEqual(broadcast_np.shape, broadcast_cp.shape)
self.assertEqual(broadcast_np.size, broadcast_cp.size)
self.assertEqual(broadcast_np.nd, broadcast_cp.nd)
assert broadcast_np.shape == broadcast_cp.shape
assert broadcast_np.size == broadcast_cp.size
assert broadcast_np.nd == broadcast_cp.nd

@testing.for_all_dtypes()
@testing.numpy_cupy_array_equal()
Expand Down Expand Up @@ -329,7 +334,6 @@ def test_broadcast_arrays(self, xp, dtype):
},
{"shapes": [(0,), (2,)]},
)
@testing.gpu
class TestInvalidBroadcast(unittest.TestCase):
@testing.for_all_dtypes()
def test_invalid_broadcast(self, dtype):
Expand Down