def testSplit(self):
a = arange(9, chunk_size=2)
splits = split(a, 3)
self.assertEqual(len(splits), 3)
self.assertTrue(all(s.shape == (3, ) for s in splits))
splits[0].tiles()
self.assertEqual(splits[0].nsplits, ((2, 1), ))
self.assertEqual(splits[1].nsplits, ((1, 2), ))
self.assertEqual(splits[2].nsplits, ((2, 1), ))
a = arange(8, chunk_size=2)
splits = split(a, [3, 5, 6, 10])
self.assertEqual(len(splits), 5)
self.assertEqual(splits[0].shape, (3, ))
self.assertEqual(splits[1].shape, (2, ))
self.assertEqual(splits[2].shape, (1, ))
self.assertEqual(splits[3].shape, (2, ))
self.assertEqual(splits[4].shape, (0, ))
splits[0].tiles()
self.assertEqual(splits[0].nsplits, ((2, 1), ))
self.assertEqual(splits[1].nsplits, ((1, 1), ))
self.assertEqual(splits[2].nsplits, ((1, ), ))
self.assertEqual(splits[3].nsplits, ((2, ), ))
self.assertEqual(splits[4].nsplits, ((0, ), ))
def testSplitExecution(self):
x = arange(48, chunk_size=3).reshape(2, 3, 8)
ss = split(x, 4, axis=2)
res = [self.executor.execute_tensor(i, concat=True)[0] for i in ss]
expected = np.split(np.arange(48).reshape(2, 3, 8), 4, axis=2)
self.assertEqual(len(res), len(expected))
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
ss = split(x, [3, 5, 6, 10], axis=2)
res = [self.executor.execute_tensor(i, concat=True)[0] for i in ss]
expected = np.split(np.arange(48).reshape(2, 3, 8), [3, 5, 6, 10],
axis=2)
self.assertEqual(len(res), len(expected))
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
# hsplit
x = arange(120, chunk_size=3).reshape(2, 12, 5)
ss = hsplit(x, 4)
res = [self.executor.execute_tensor(i, concat=True)[0] for i in ss]
expected = np.hsplit(np.arange(120).reshape(2, 12, 5), 4)
self.assertEqual(len(res), len(expected))
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
# vsplit
x = arange(48, chunk_size=3).reshape(8, 3, 2)
ss = vsplit(x, 4)
res = [self.executor.execute_tensor(i, concat=True)[0] for i in ss]
expected = np.vsplit(np.arange(48).reshape(8, 3, 2), 4)
self.assertEqual(len(res), len(expected))
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
# dsplit
x = arange(48, chunk_size=3).reshape(2, 3, 8)
ss = dsplit(x, 4)
res = [self.executor.execute_tensor(i, concat=True)[0] for i in ss]
expected = np.dsplit(np.arange(48).reshape(2, 3, 8), 4)
self.assertEqual(len(res), len(expected))
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
x_data = sps.random(12, 8, density=.1)
x = tensor(x_data, chunk_size=3)
ss = split(x, 4, axis=0)
res = [self.executor.execute_tensor(i, concat=True)[0] for i in ss]
expected = np.split(x_data.toarray(), 4, axis=0)
self.assertEqual(len(res), len(expected))
[
np.testing.assert_equal(r.toarray(), e)
for r, e in zip(res, expected)
]