def _test_greater_equal_normal(test_case, device): input1 = flow.tensor( np.array([1, 1, 4]).astype(np.float32), dtype=flow.float32, device=flow.device(device), ) input2 = flow.tensor( np.array([1, 2, 3]).astype(np.float32), dtype=flow.float32, device=flow.device(device), ) of_out = flow.ge(input1, input2) np_out = np.greater_equal(input1.numpy(), input2.numpy()) test_case.assertTrue(np.array_equal(of_out.numpy(), np_out))
def _ge(self, other): return flow.ge(self, other)