[Phi] Replace Backend by Place in C++ API (#40732)

* replace Backend by Place in C++ API

* fix left code

* fix test_to_api bug

paddle/fluid/distributed/collective/ProcessGroupNCCL.cc

@@ -395,7 +395,7 @@ std::shared_ptr<ProcessGroup::Task> ProcessGroupNCCL::Barrier(
   platform::CUDADeviceGuard gpuGuard;
   for (auto& place : places) {
     gpuGuard.SetDeviceIndex(place.GetDeviceId());
-    auto dt = full({1}, 0, phi::DataType::FLOAT32, phi::Backend::GPU);
+    auto dt = full({1}, 0, phi::DataType::FLOAT32, phi::GPUPlace());
     barrierTensors.push_back(dt);
   }
   auto task = ProcessGroupNCCL::AllReduce(barrierTensors);

paddle/fluid/distributed/collective/reducer.cc

@@ -321,7 +321,7 @@ EagerReducer::EagerReducer(
   if (find_unused_vars_each_step_) {
     global_used_vars_ = paddle::experimental::empty(
         ScalarArray({static_cast<int32_t>(tensors_.size())}), DataType::INT32,
-        TransToBackend(inner_place_));
+        inner_place_);
   }
 }
 
@@ -363,10 +363,8 @@ void EagerReducer::InitializeGroups(
     } else {
       // process the dense gradient.
       InitializeDenseGroups(tensor_indices_, &group);
-      // experimental::Backend backend =  TransToBackend(inner_place_);
       group.dense_contents_ = paddle::experimental::empty(
-          ScalarArray({group.all_length_}), group.dtype_,
-          TransToBackend(inner_place_));
+          ScalarArray({group.all_length_}), group.dtype_, inner_place_);
     }
 
     // map tensors to this group by VariableLocator

paddle/fluid/eager/api/utils/tensor_utils.cc

@@ -43,8 +43,7 @@ paddle::experimental::Tensor CreateTensorWithValue(
     const phi::DataType& dtype, const phi::DataLayout& layout, float value,
     bool is_leaf) {
   paddle::experimental::Tensor out = paddle::experimental::full(
-      phi::vectorize(ddim), paddle::experimental::Scalar(value), dtype,
-      phi::TransToPhiBackend(place));
+      phi::vectorize(ddim), paddle::experimental::Scalar(value), dtype, place);
 
   auto meta = EagerUtils::autograd_meta(&out);
   if (is_leaf) {

paddle/fluid/eager/auto_code_generator/final_state_generator/eager_gen.py

@@ -29,7 +29,7 @@ yaml_types_mapping = {
     'int' : 'int', 'int32' : 'int32_t', 'int64' : 'int64_t',  'size_t' : 'size_t', \
     'float' : 'float', 'double' : 'double', 'bool' : 'bool', \
     'str' : 'std::string', \
-    'Backend' : 'paddle::experimental::Backend', 'DataLayout' : 'paddle::experimental::DataLayout', 'DataType' : 'paddle::experimental::DataType', \
+    'Place' : 'paddle::experimental::Place', 'DataLayout' : 'paddle::experimental::DataLayout', 'DataType' : 'paddle::experimental::DataType', \
     'int64[]' : 'std::vector<int64_t>', 'int[]' : 'std::vector<int>',
     'Tensor' : 'Tensor',
     'Tensor[]' : 'std::vector<Tensor>',

paddle/fluid/eager/auto_code_generator/final_state_generator/python_c_gen.py

@@ -43,7 +43,7 @@ atype_to_parsing_function = {
     "std::vector<std::string>": "CastPyArg2Strings",
     "paddle::experimental::Scalar": "CastPyArg2Scalar",
     "paddle::experimental::ScalarArray": "CastPyArg2ScalarArray",
-    "paddle::experimental::Backend": "CastPyArg2Backend",
+    "paddle::experimental::Place": "CastPyArg2Place",
     "paddle::experimental::DataType": "CastPyArg2DataType",
 }
 

paddle/fluid/pybind/eager.cc

@@ -132,8 +132,7 @@ void InitTensorWithTensor(TensorObject* self,
     self->tensor.set_impl(impl);
     VLOG(4) << "Same place, do ShareDataWith";
   } else {
-    self->tensor.set_impl(
-        src.copy_to(phi::TransToPhiBackend(place), true).impl());
+    self->tensor.set_impl(src.copy_to(place, true).impl());
     VLOG(4) << "Different place, do TensorCopy";
   }
   if (src.get_autograd_meta()) {
@@ -156,8 +155,7 @@ void InitTensorWithFrameworkTensor(TensorObject* self,
   } else {
     auto temp =
         paddle::experimental::Tensor(std::make_shared<phi::DenseTensor>(src));
-    self->tensor.set_impl(
-        temp.copy_to(phi::TransToPhiBackend(place), true).impl());
+    self->tensor.set_impl(temp.copy_to(place, true).impl());
     VLOG(4) << "Different place, do TensorCopy";
   }
   egr::EagerUtils::autograd_meta(&(self->tensor))->SetPersistable(false);

paddle/fluid/pybind/eager_functions.cc

@@ -159,7 +159,7 @@ static PyObject* eager_api_tensor_copy(PyObject* self, PyObject* args,
   auto place = CastPyArg2Place(PyTuple_GET_ITEM(args, 2), 2);
   bool blocking = CastPyArg2AttrBoolean(PyTuple_GET_ITEM(args, 3), 3);
 
-  dst = src.copy_to(phi::TransToPhiBackend(place), blocking);
+  dst = src.copy_to(place, blocking);
   egr::EagerUtils::autograd_meta(&dst)->SetStopGradient(
       egr::EagerUtils::autograd_meta(&(src))->StopGradient());
   egr::EagerUtils::autograd_meta(&dst)->SetPersistable(

paddle/fluid/pybind/eager_method.cc

@@ -218,8 +218,7 @@ static PyObject* tensor_method__copy_to(TensorObject* self, PyObject* args,
   EAGER_TRY
   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);
+  auto cp_tensor = self->tensor.copy_to(place, blocking);
   egr::EagerUtils::autograd_meta(&cp_tensor)->SetStopGradient(true);
   egr::EagerUtils::autograd_meta(&cp_tensor)
       ->SetPersistable(
@@ -231,8 +230,7 @@ static PyObject* tensor_method__copy_to(TensorObject* self, PyObject* args,
 static PyObject* tensor_method_cpu(TensorObject* self, PyObject* args,
                                    PyObject* kwargs) {
   EAGER_TRY
-  auto cp_tensor =
-      self->tensor.copy_to(phi::TransToPhiBackend(phi::CPUPlace()), true);
+  auto cp_tensor = self->tensor.copy_to(phi::CPUPlace(), true);
   egr::EagerUtils::autograd_meta(&cp_tensor)->SetStopGradient(true);
   egr::EagerUtils::autograd_meta(&cp_tensor)
       ->SetPersistable(

paddle/fluid/pybind/eager_utils.cc

@@ -929,28 +929,10 @@ std::vector<paddle::framework::Scope*> GetScopePtrListFromArgs(
   return result;
 }
 
-paddle::experimental::Backend CastPyArg2Backend(PyObject* obj,
+paddle::experimental::Place CastPyArg2Place(PyObject* obj,
                                             const std::string& op_type,
                                             ssize_t arg_pos) {
-  if (obj == Py_None) {
-    PADDLE_THROW(platform::errors::InvalidArgument(
-        "%s(): argument (position %d) must be "
-        "int or place, but got %s",
-        op_type, arg_pos + 1,
-        ((PyTypeObject*)obj->ob_type)->tp_name));  // NOLINT
-  }
-
-  PyTypeObject* type = obj->ob_type;
-  auto type_name = std::string(type->tp_name);
-  if (type_name == "int") {
-    int value = CastPyArg2Int(obj, op_type, arg_pos);
-    return static_cast<paddle::experimental::Backend>(value);
-  } else {
-    platform::Place place = CastPyArg2Place(obj, arg_pos);
-    return phi::TransToPhiBackend(place);
-  }
-
-  return paddle::experimental::Backend::CPU;
+  return CastPyArg2Place(obj, arg_pos);
 }
 
 paddle::experimental::DataType CastPyArg2DataType(PyObject* obj,

paddle/fluid/pybind/eager_utils.h

@@ -154,7 +154,7 @@ paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
 paddle::experimental::ScalarArray CastPyArg2ScalarArray(
     PyObject* obj, const std::string& op_type, ssize_t arg_pos);
 
-paddle::experimental::Backend CastPyArg2Backend(PyObject* obj,
+paddle::experimental::Place CastPyArg2Place(PyObject* obj,
                                             const std::string& op_type,
                                             ssize_t arg_pos);
 

paddle/phi/api/include/tensor.h

@@ -31,7 +31,6 @@ using gpuStream_t = hipStream_t;
 
 #include "paddle/phi/api/ext/dll_decl.h"
 #include "paddle/phi/api/ext/place.h"
-#include "paddle/phi/common/backend.h"
 #include "paddle/phi/common/data_type.h"
 #include "paddle/phi/common/layout.h"
 #include "paddle/phi/common/place.h"
@@ -415,11 +414,11 @@ class PADDLE_API Tensor final {
   /**
    * @brief Transfer the current Tensor to the specified device and return.
    *
-   * @param backend, The target backend of which the tensor will copy to.
+   * @param place, The target place of which the tensor will copy to.
    * @param blocking, Should we copy this in sync way.
    * @return Tensor
    */
-  Tensor copy_to(Backend backend, bool blocking) const;
+  Tensor copy_to(Place place, bool blocking) const;
 
   /**
    * @brief Transfer the source Tensor to current Tensor.

paddle/phi/api/lib/api_custom_impl.cc

@@ -19,6 +19,7 @@ limitations under the License. */
 #include "paddle/phi/api/lib/data_transform.h"
 #include "paddle/phi/api/lib/kernel_dispatch.h"
 #include "paddle/phi/api/lib/utils/storage.h"
+#include "paddle/phi/core/compat/convert_utils.h"
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/core/meta_tensor.h"
 #include "paddle/phi/infermeta/binary.h"
@@ -31,9 +32,10 @@ limitations under the License. */
 namespace paddle {
 namespace experimental {
 
-Tensor copy_to_impl(const Tensor& x, Backend backend, bool blocking) {
+Tensor copy_to_impl(const Tensor& x, Place place, bool blocking) {
   auto kernel_key_set = ParseKernelKeyByInputArgs(x);
-  kernel_key_set.backend_set = kernel_key_set.backend_set | BackendSet(backend);
+  kernel_key_set.backend_set =
+      kernel_key_set.backend_set | BackendSet(phi::TransToPhiBackend(place));
   auto kernel_key = kernel_key_set.GetHighestPriorityKernelKey();
   auto kernel = phi::KernelFactory::Instance().SelectKernelOrThrowError(
       "copy", kernel_key);
@@ -57,8 +59,7 @@ Tensor copy_to_impl(const Tensor& x, Backend backend, bool blocking) {
                                     phi::DenseTensor*);
 
   auto* kernel_fn = kernel.GetVariadicKernelFn<kernel_signature>();
-  (*kernel_fn)(
-      *dev_ctx, *dense_x, phi::TransToPhiPlace(backend), blocking, kernel_out);
+  (*kernel_fn)(*dev_ctx, *dense_x, place, blocking, kernel_out);
 
   return out;
 }

paddle/phi/api/lib/api_custom_impl.h

@@ -15,15 +15,14 @@ limitations under the License. */
 #pragma once
 
 #include "paddle/phi/api/include/tensor.h"
-#include "paddle/phi/common/backend.h"
+#include "paddle/phi/common/place.h"
 #include "paddle/phi/common/scalar.h"
 #include "paddle/phi/common/scalar_array.h"
 
 namespace paddle {
 namespace experimental {
 
-// TODO(chenweihang): Replace backend by place when place is ready
-Tensor copy_to_impl(const Tensor& x, Backend backend, bool blocking);
+Tensor copy_to_impl(const Tensor& x, Place place, bool blocking);
 
 std::vector<Tensor> split_impl(const Tensor& x,
                                const ScalarArray& num_or_sections,

paddle/phi/api/lib/kernel_dispatch.cc

@@ -82,13 +82,17 @@ DataType ParseDataTypeWithInputOrder(DataType dtype, const Tensor& tensor) {
   return dtype != DataType::UNDEFINED ? dtype : ParseDataType(tensor);
 }
 
-Backend ParseBackend(Backend backend) { return backend; }
+Backend ParseBackend(const Place& place) {
+  return phi::TransToPhiBackend(place);
+}
 Backend ParseBackend(const Tensor& tensor) {
   return phi::TransToPhiBackend(tensor.inner_place());
 }
 
-Backend ParseBackendWithInputOrder(Backend backend, const Tensor& tensor) {
-  return backend != Backend::UNDEFINED ? backend : ParseBackend(tensor);
+Backend ParseBackendWithInputOrder(const Place& place, const Tensor& tensor) {
+  return place.GetType() != phi::AllocationType::UNDEFINED
+             ? ParseBackend(place)
+             : ParseBackend(tensor);
 }
 
 DataLayout ParseLayout(DataLayout layout) { return layout; }

paddle/phi/api/lib/kernel_dispatch.h

@@ -154,7 +154,7 @@ DataType ParseDataType(const Tensor& tensor);
 DataType ParseDataType(const std::vector<Tensor>& tensors);
 DataType ParseDataTypeWithInputOrder(DataType dtype, const Tensor& tensor);
 
-Backend ParseBackend(Backend backend);
+Backend ParseBackend(const Place& place);
 Backend ParseBackend(const Tensor& tensor);
 template <typename T, typename... Args>
 Backend ParseBackend(T t, Args... args) {
@@ -163,7 +163,7 @@ Backend ParseBackend(T t, Args... args) {
   return static_cast<Backend>(64 -
                               detail::CountLeadingZeros(backend_set.bitset()));
 }
-Backend ParseBackendWithInputOrder(Backend backend, const Tensor& tensor);
+Backend ParseBackendWithInputOrder(const Place& place, const Tensor& tensor);
 
 DataLayout ParseLayout(DataLayout layout);
 DataLayout ParseLayout(const Tensor& tensor);

paddle/phi/api/lib/tensor_method.cc

@@ -27,14 +27,14 @@ namespace paddle {
 namespace experimental {
 // declare cast api
 Tensor cast(const Tensor &x, DataType out_dtype);
-Tensor copy_to(const Tensor &x, Backend backend, bool blocking);
+Tensor copy_to(const Tensor &x, Place place, bool blocking);
 
 Tensor Tensor::cast(DataType target_type) const {
   return experimental::cast(*this, target_type);
 }
 
-Tensor Tensor::copy_to(Backend backend, bool blocking) const {
-  return experimental::copy_to(*this, backend, blocking);
+Tensor Tensor::copy_to(Place place, bool blocking) const {
+  return experimental::copy_to(*this, place, blocking);
 }
 
 template <typename T>
@@ -44,7 +44,7 @@ Tensor Tensor::copy_to(const PlaceType &target_place) const {
                   "`copy_to` method without template argument instead. "
                   "reason: copying a Tensor to another device does not need "
                   "to specify the data type template argument.";
-  return copy_to(ConvertExtPlaceToBackend(target_place), /*blocking=*/false);
+  return copy_to(ConvertExtPlaceToInnerPlace(target_place), /*blocking=*/false);
 }
 
 template PADDLE_API Tensor

paddle/phi/common/place.h

@@ -203,5 +203,10 @@ namespace paddle {
 namespace experimental {
 using AllocationType = phi::AllocationType;
 using Place = phi::Place;
+using CPUPlace = phi::CPUPlace;
+using GPUPlace = phi::GPUPlace;
+using GPUPinnedPlace = phi::GPUPinnedPlace;
+using XPUPlace = phi::XPUPlace;
+using NPUPlace = phi::NPUPlace;
 }  // namespace experimental
 }  // namespace paddle

paddle/phi/tests/api/test_data_transform.cc

@@ -17,6 +17,7 @@ limitations under the License. */
 
 #include "paddle/phi/api/include/api.h"
 #include "paddle/phi/common/complex.h"
+#include "paddle/phi/common/place.h"
 #include "paddle/phi/core/compat/convert_utils.h"
 #include "paddle/phi/core/dense_tensor.h"
 #include "paddle/phi/core/kernel_registry.h"
@@ -39,10 +40,10 @@ TEST(API, data_transform_same_place) {
   auto x = paddle::experimental::full({3, 3},
                                       1.0,
                                       experimental::DataType::COMPLEX128,
-                                      experimental::Backend::CPU);
+                                      experimental::CPUPlace());
 
   auto y = paddle::experimental::full(
-      {3, 3}, 2.0, experimental::DataType::FLOAT32, experimental::Backend::CPU);
+      {3, 3}, 2.0, experimental::DataType::FLOAT32, experimental::CPUPlace());
 
   std::vector<phi::dtype::complex<double>> sum(9, 6.0);
 
@@ -74,10 +75,10 @@ TEST(API, data_transform_same_place) {
 TEST(Tensor, data_transform_diff_place) {
   // 1. create tensor
   auto x = paddle::experimental::full(
-      {3, 3}, 1.0, experimental::DataType::FLOAT64, experimental::Backend::CPU);
+      {3, 3}, 1.0, experimental::DataType::FLOAT64, experimental::CPUPlace());
 
   auto y = paddle::experimental::full(
-      {3, 3}, 2.0, experimental::DataType::FLOAT64, experimental::Backend::GPU);
+      {3, 3}, 2.0, experimental::DataType::FLOAT64, experimental::GPUPlace());
 
   std::vector<float> sum(9, 6.0);
 
@@ -95,7 +96,7 @@ TEST(Tensor, data_transform_diff_place) {
   ASSERT_EQ(out.impl()->place(),
             phi::TransToPhiPlace(experimental::Backend::GPU));
 
-  auto ref_out = experimental::copy_to(out, experimental::Backend::CPU, true);
+  auto ref_out = experimental::copy_to(out, experimental::CPUPlace(), true);
 
   auto dense_out = std::dynamic_pointer_cast<phi::DenseTensor>(ref_out.impl());
   for (size_t i = 0; i < 9; i++) {

paddle/phi/tests/api/test_scale_benchmark.cc

@@ -30,7 +30,7 @@ namespace tests {
 
 TEST(API, scale) {
   auto x = experimental::full(
-      {3, 4}, 1.0, experimental::DataType::FLOAT32, experimental::Backend::CPU);
+      {3, 4}, 1.0, experimental::DataType::FLOAT32, experimental::CPUPlace());
 
   const size_t cycles = 300;
   phi::tests::Timer timer;

paddle/phi/tests/api/test_to_api.cc

@@ -69,10 +69,10 @@ TEST(API, copy_to) {
 
 // 2. test API
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
-  auto tmp = paddle::experimental::copy_to(x, phi::Backend::GPU, false);
-  auto out = paddle::experimental::copy_to(tmp, phi::Backend::CPU, true);
+  auto tmp = paddle::experimental::copy_to(x, phi::GPUPlace(), false);
+  auto out = paddle::experimental::copy_to(tmp, phi::CPUPlace(), true);
 #else
-  auto out = paddle::experimental::copy_to(x, phi::Backend::CPU, false);
+  auto out = paddle::experimental::copy_to(x, phi::CPUPlace(), false);
 #endif
 
   // 3. check result
@@ -85,10 +85,10 @@ TEST(Tensor, copy_to) {
 
 // 2. test API
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
-  auto tmp = x.copy_to(phi::Backend::GPU, false);
-  auto out = tmp.copy_to(phi::Backend::CPU, true);
+  auto tmp = x.copy_to(phi::GPUPlace(), false);
+  auto out = tmp.copy_to(phi::CPUPlace(), true);
 #else
-  auto out = x.copy_to(phi::Backend::CPU, false);
+  auto out = x.copy_to(phi::CPUPlace(), false);
 #endif
 
   // 3. check result

python/paddle/utils/code_gen/api.yaml

@@ -36,9 +36,9 @@
     func : conj
 
 - api : copy_to
-  args : (Tensor x, Backend backend, bool blocking)
+  args : (Tensor x, Place place, bool blocking)
   output : Tensor
-  invoke : copy_to_impl(x, backend, blocking)
+  invoke : copy_to_impl(x, place, blocking)
 
 - api : divide
   args : (Tensor x, Tensor y)
@@ -57,7 +57,7 @@
     func : dot
 
 - api : empty
-  args : (ScalarArray shape, DataType dtype=DataType::FLOAT32, Backend place=Backend::CPU)
+  args : (ScalarArray shape, DataType dtype=DataType::FLOAT32, Place place=CPUPlace())
   output: Tensor
   infer_meta :
     func : CreateInferMeta
@@ -69,7 +69,7 @@
     backend : place
 
 - api : empty_like
-  args : (Tensor x, DataType dtype = DataType::UNDEFINED, Backend place = Backend::UNDEFINED)
+  args : (Tensor x, DataType dtype = DataType::UNDEFINED, Place place = {})
   output: Tensor
   infer_meta :
     func : CreateLikeInferMeta
@@ -89,7 +89,7 @@
     func : flatten
 
 - api : full
-  args : (ScalarArray shape, Scalar value, DataType dtype=DataType::FLOAT32, Backend place=Backend::CPU)
+  args : (ScalarArray shape, Scalar value, DataType dtype=DataType::FLOAT32, Place place=CPUPlace())
   output: Tensor
   infer_meta :
     func : CreateInferMeta
@@ -101,7 +101,7 @@
     backend : place
 
 - api : full_like
-  args : (Tensor x, Scalar value, DataType dtype = DataType::UNDEFINED, Backend place = Backend::UNDEFINED)
+  args : (Tensor x, Scalar value, DataType dtype = DataType::UNDEFINED, Place place = {})
   output: Tensor
   infer_meta :
     func : CreateLikeInferMeta
@@ -138,7 +138,7 @@
     func : multiply
 
 - api : ones_like
-  args : (Tensor x, DataType dtype=DataType::UNDEFINED, Backend place=Backend::UNDEFINED)
+  args : (Tensor x, DataType dtype=DataType::UNDEFINED, Place place={})
   output : Tensor
   invoke : full_like(x, 1, dtype, place)
 
@@ -218,7 +218,7 @@
     data_type : x
 
 - api : zeros_like
-  args : (Tensor x, DataType dtype=DataType::UNDEFINED, Backend place=Backend::UNDEFINED)
+  args : (Tensor x, DataType dtype=DataType::UNDEFINED, Place place = {})
   output : Tensor
   invoke : full_like(x, 0, dtype, place)
 

python/paddle/utils/code_gen/api_base.py

@@ -99,7 +99,7 @@ class BaseAPI(object):
             'double': 'double',
             'bool': 'bool',
             'str': 'const std::string&',
-            'Backend': 'Backend',
+            'Place': 'Place',
             'DataLayout': 'DataLayout',
             'DataType': 'DataType',
             'int64[]': 'const std::vector<int64_t>&',
@@ -118,7 +118,7 @@ class BaseAPI(object):
             'float': 'paddle::optional<float>',
             'double': 'paddle::optional<double>',
             'bool': 'paddle::optional<bool>',
-            'Backend': 'paddle::optional<Backend>',
+            'Place': 'paddle::optional<Place>',
             'DataLayout': 'paddle::optional<DataLayout>',
             'DataType': 'paddle::optional<DataType>',
             'int64[]': 'paddle::optional<std::vector<int64_t>>',
@@ -327,9 +327,9 @@ PADDLE_API {self.gene_return_type_code()} {self.get_api_func_name() + '_'}({self
         attr_layout_count = 0
         attr_data_type_count = 0
         for attr_name in attrs['names']:
-            if attrs['attr_info'][attr_name][0] == 'Backend':
+            if attrs['attr_info'][attr_name][0] == 'Place':
                 assert kernel['backend'] is not None, \
-                    f"{api} api: When there is a parameter with 'Backend' type in attributes, you must set backend of kernel manually."
+                    f"{api} api: When there is a parameter with 'Place' type in attributes, you must set backend of kernel manually."
                 attr_backend_count = attr_backend_count + 1
             if attrs['attr_info'][attr_name][0] == 'DataLayout':
                 assert kernel['layout'] is not None, \
@@ -348,8 +348,8 @@ PADDLE_API {self.gene_return_type_code()} {self.get_api_func_name() + '_'}({self
                 assert len(
                     vars_list
                 ) == 2, f"{api} api: The number of params to set backend with '>' only allows 2, but received {len(vars_list)}."
-                assert (vars_list[0].strip() in attrs['names']) and (attrs['attr_info'][vars_list[0].strip()][0] == 'Backend'), \
-                    f"{api} api: When use '>' to set kernel backend, the first param should be a attribute with Backend type."
+                assert (vars_list[0].strip() in attrs['names']) and (attrs['attr_info'][vars_list[0].strip()][0] == 'Place'), \
+                    f"{api} api: When use '>' to set kernel backend, the first param should be a attribute with Place type."
                 kernel_select_code = kernel_select_code + f"""
   kernel_backend = ParseBackendWithInputOrder({vars_list[0].strip()}, {vars_list[1].strip()});
 """