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Added support for atleast_1d, atleast_2d, atleast_3d (#694)

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Hinrik Snær Guðmundsson
2024-02-19 12:40:52 -05:00
committed by GitHub
parent e1bdf6a8d9
commit f883fcede0
7 changed files with 241 additions and 1 deletions
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90
python/tests/test_ops.py
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@@ -1883,6 +1883,96 @@ class TestOps(mlx_tests.MLXTestCase):
expected = mx.array(np.diag(x, k=-1))
self.assertTrue(mx.array_equal(result, expected))
def test_atleast_1d(self):
def compare_nested_lists(x, y):
if isinstance(x, list) and isinstance(y, list):
if len(x) != len(y):
return False
for i in range(len(x)):
if not compare_nested_lists(x[i], y[i]):
return False
return True
else:
return x == y
# Test 1D input
arrays = [
[1],
[1, 2, 3],
[1, 2, 3, 4],
[[1], [2], [3]],
[[1, 2], [3, 4]],
[[1, 2, 3], [4, 5, 6]],
[[[[1]], [[2]], [[3]]]],
]
for array in arrays:
mx_res = mx.atleast_1d(mx.array(array))
np_res = np.atleast_1d(np.array(array))
self.assertTrue(compare_nested_lists(mx_res.tolist(), np_res.tolist()))
self.assertEqual(mx_res.shape, np_res.shape)
self.assertEqual(mx_res.ndim, np_res.ndim)
def test_atleast_2d(self):
def compare_nested_lists(x, y):
if isinstance(x, list) and isinstance(y, list):
if len(x) != len(y):
return False
for i in range(len(x)):
if not compare_nested_lists(x[i], y[i]):
return False
return True
else:
return x == y
# Test 1D input
arrays = [
[1],
[1, 2, 3],
[1, 2, 3, 4],
[[1], [2], [3]],
[[1, 2], [3, 4]],
[[1, 2, 3], [4, 5, 6]],
[[[[1]], [[2]], [[3]]]],
]
for array in arrays:
mx_res = mx.atleast_2d(mx.array(array))
np_res = np.atleast_2d(np.array(array))
self.assertTrue(compare_nested_lists(mx_res.tolist(), np_res.tolist()))
self.assertEqual(mx_res.shape, np_res.shape)
self.assertEqual(mx_res.ndim, np_res.ndim)
def test_atleast_3d(self):
def compare_nested_lists(x, y):
if isinstance(x, list) and isinstance(y, list):
if len(x) != len(y):
return False
for i in range(len(x)):
if not compare_nested_lists(x[i], y[i]):
return False
return True
else:
return x == y
# Test 1D input
arrays = [
[1],
[1, 2, 3],
[1, 2, 3, 4],
[[1], [2], [3]],
[[1, 2], [3, 4]],
[[1, 2, 3], [4, 5, 6]],
[[[[1]], [[2]], [[3]]]],
]
for array in arrays:
mx_res = mx.atleast_3d(mx.array(array))
np_res = np.atleast_3d(np.array(array))
self.assertTrue(compare_nested_lists(mx_res.tolist(), np_res.tolist()))
self.assertEqual(mx_res.shape, np_res.shape)
self.assertEqual(mx_res.ndim, np_res.ndim)
if __name__ == "__main__":
unittest.main()