def testEmptyExecution(self):
t = empty((20, 30), dtype='i8', chunk_size=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.int64)
t = empty((20, 30), chunk_size=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)
t2 = empty_like(t)
res = self.executor.execute_tensor(t2, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)
def testEmptyExecution(self):
t = empty((20, 30), dtype='i8', chunks=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.int64)
self.assertFalse(np.array_equal(res, np.zeros((20, 30))))
t = empty((20, 30), chunks=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertFalse(np.allclose(res, np.zeros((20, 30))))
t2 = empty_like(t)
res = self.executor.execute_tensor(t2, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)