adjust params order for eager.Tensor._copy_to (#40449)

paddle/fluid/pybind/eager_method.cc

@@ -214,8 +214,8 @@ static PyObject* tensor_method__is_initialized(TensorObject* self,
 static PyObject* tensor_method__copy_to(TensorObject* self, PyObject* args,
                                         PyObject* kwargs) {
   EAGER_TRY
-  bool blocking = CastPyArg2AttrBoolean(PyTuple_GET_ITEM(args, 0), 0);
-  auto place = CastPyArg2Place(PyTuple_GET_ITEM(args, 1), 1);
+  auto place = CastPyArg2Place(PyTuple_GET_ITEM(args, 0), 0);
+  bool blocking = CastPyArg2AttrBoolean(PyTuple_GET_ITEM(args, 1), 1);
   auto cp_tensor =
       self->tensor.copy_to(phi::TransToPhiBackend(place), blocking);
   egr::EagerUtils::autograd_meta(&cp_tensor)->SetStopGradient(true);

python/paddle/fluid/tests/unittests/test_egr_python_api.py

@@ -632,13 +632,13 @@ class EagerVariablePropertiesAndMethodsTestCase(unittest.TestCase):
             tensor2.persistable = True
             tensor2.stop_gradient = False
             if core.is_compiled_with_cuda():
-                tensor3 = tensor2._copy_to(True, core.CUDAPlace(0))
+                tensor3 = tensor2._copy_to(core.CUDAPlace(0), True)
                 self.assertTrue(np.array_equal(tensor3.numpy(), arr2))
                 self.assertTrue(tensor3.persistable, True)
                 self.assertTrue(tensor3.stop_gradient, True)
                 self.assertTrue(tensor3.place.is_gpu_place())
             else:
-                tensor3 = tensor2._copy_to(True, core.CPUPlace())
+                tensor3 = tensor2._copy_to(core.CPUPlace(), True)
                 self.assertTrue(np.array_equal(tensor3.numpy(), arr2))
                 self.assertTrue(tensor3.persistable, True)
                 self.assertTrue(tensor3.stop_gradient, True)