def testOnesLike(self):
t1 = tensor([[0, 0, 1], [1, 0, 0]], chunk_size=2).tosparse()
t = ones_like(t1, dtype='f8')
self.assertIsInstance(t, SparseTensor)
self.assertIsInstance(t.op, TensorOnesLike)
self.assertTrue(t.issparse())
t.tiles()
self.assertEqual(t.chunks[0].index, (0, 0))
self.assertIsInstance(t.op, TensorOnesLike)
self.assertTrue(t.chunks[0].issparse())
def test_ones_like():
t1 = tensor([[0, 0, 1], [1, 0, 0]], chunk_size=2).tosparse()
t = ones_like(t1, dtype='f8')
assert isinstance(t, SparseTensor)
assert isinstance(t.op, TensorOnesLike)
assert t.issparse() is True
assert t.op.gpu is False
t = tile(t)
assert t.chunks[0].index == (0, 0)
assert isinstance(t.op, TensorOnesLike)
assert t.chunks[0].issparse() is True
