def test_pythonic_ops(self):
s = et.Shape((1, 2, 3, 4, 5))
self.assertEqual(s[3], 4)
self.assertEqual(s[:2], et.Shape([1, 2]))
self.assertIn(3, s)
self.assertNotIn(9000, s)
s[:2] = [7, 7]
self.assertEqual(s, et.Shape([7, 7, 3, 4, 5]))
def test_pythonic_ops(self):
a = np.array([1, 2, 3, 4, 5, 6]).reshape(3, 2)
t = et.Tensor.from_numpy(a)
self.assertEqual(t[0:2].shape(), et.Shape([2, 2]))
self.assertEqual(t[0::2].shape(), et.Shape([2, 2]))
self.assertEqual(t[0, 0].item(), 1)
self.assertEqual(len(t.toHost()), 6)
try:
t.item()
self.fail(
"et.Tensor.item() should fail when tensor is not a scalar")
except:
pass
def test_to_list(self):
s = et.Shape((4, 3, 2, 1))
l = s.to_list()
self.assertEqual(type(l), list)
self.assertEqual(len(l), s.size())
for i in range(4):
self.assertEqual(l[i], s[i])
def test_creation(self):
a = np.array([1, 2, 3, 4, 5, 6]).reshape(3, 2)
t = et.Tensor.from_numpy(a)
self.assertEqual(t.shape(), et.Shape([3, 2]))
def test_python_interop(self):
s = et.Shape([5, 6, 7, 8])
self.assertEqual(sum(s), 26)
def test_stringify(self):
self.assertEqual('<' in str(et.Shape()), False)
def test_reshape(self):
a = et.ones((4, 4))
a = a.reshape((16, ))
self.assertEqual(a.shape(), et.Shape([
16,
]))
def test_creation(self):
s = et.Shape([60, 60])
self.assertEqual(s.volume(), 3600)
self.assertEqual(s.size(), 2)
self.assertEqual(len(s), 2) # cppyy should have wrapped this