rem npu in test (#53469)

* rem npu in test

* restore some code

test/CMakeLists.txt

@@ -186,15 +186,6 @@ if(${len} GREATER_EQUAL 1)
       if(WITH_XPU)
         target_link_libraries(${test_name} xpulib)
       endif()
-      if(NOT
-         ("${test_name}" STREQUAL "c_broadcast_op_npu_test"
-          OR "${test_name}" STREQUAL "c_allreduce_sum_op_npu_test"
-          OR "${test_name}" STREQUAL "c_allreduce_max_op_npu_test"
-          OR "${test_name}" STREQUAL "c_reducescatter_op_npu_test"
-          OR "${test_name}" STREQUAL "c_allgather_op_npu_test"
-          OR "${test_name}" STREQUAL "send_v2_op_npu_test"
-          OR "${test_name}" STREQUAL "c_reduce_sum_op_npu_test"
-          OR "${test_name}" STREQUAL "recv_v2_op_npu_test"))
       cc_test_run(
         ${test_name}
         COMMAND
@@ -203,7 +194,6 @@ if(${len} GREATER_EQUAL 1)
         ${test_arg}
         DIR
         ${CC_TESTS_DIR})
-      endif()
     elseif(WITH_TESTING AND NOT TEST ${test_name})
       add_test(NAME ${test_name} COMMAND ${CMAKE_COMMAND} -E echo CI skip
                                          ${test_name}.)

test/cpp/inference/api/api_impl_tester.cc

@@ -72,7 +72,6 @@ void MainWord2Vec(const paddle::PaddlePlace& place) {
   auto predictor = CreatePaddlePredictor<NativeConfig>(config);
   config.use_gpu = paddle::gpu_place_used(place);
   config.use_xpu = paddle::xpu_place_used(place);
-  config.use_npu = paddle::npu_place_used(place);
 
   phi::DenseTensor first_word, second_word, third_word, fourth_word;
   framework::LoD lod{{0, 1}};
@@ -125,7 +124,6 @@ void MainImageClassification(const paddle::PaddlePlace& place) {
   NativeConfig config = GetConfig();
   config.use_gpu = paddle::gpu_place_used(place);
   config.use_xpu = paddle::xpu_place_used(place);
-  config.use_npu = paddle::npu_place_used(place);
   config.model_dir =
       FLAGS_book_dirname + "/image_classification_resnet.inference.model";
 
@@ -169,7 +167,6 @@ void MainThreadsWord2Vec(const paddle::PaddlePlace& place) {
   NativeConfig config = GetConfig();
   config.use_gpu = paddle::gpu_place_used(place);
   config.use_xpu = paddle::xpu_place_used(place);
-  config.use_npu = paddle::npu_place_used(place);
   auto main_predictor = CreatePaddlePredictor<NativeConfig>(config);
 
   // prepare inputs data and reference results
@@ -234,7 +231,6 @@ void MainThreadsImageClassification(const paddle::PaddlePlace& place) {
   NativeConfig config = GetConfig();
   config.use_gpu = paddle::gpu_place_used(place);
   config.use_xpu = paddle::xpu_place_used(place);
-  config.use_npu = paddle::npu_place_used(place);
   config.model_dir =
       FLAGS_book_dirname + "/image_classification_resnet.inference.model";
 

test/cpp/inference/test_helper.h

@@ -35,9 +35,6 @@ bool gpu_place_used(const paddle::PaddlePlace& place) {
 bool xpu_place_used(const paddle::PaddlePlace& place) {
   return place == paddle::PaddlePlace::kXPU;
 }
-bool npu_place_used(const paddle::PaddlePlace& place) {
-  return place == paddle::PaddlePlace::kNPU;
-}
 bool cpu_place_used(const paddle::PaddlePlace& place) {
   return place == paddle::PaddlePlace::kCPU;
 }

test/cpp/phi/common/test_backend.cc

@@ -36,9 +36,6 @@ TEST(Backend, OStream) {
   oss << phi::Backend::XPU;
   EXPECT_EQ(oss.str(), "XPU");
   oss.str("");
-  oss << phi::Backend::NPU;
-  EXPECT_EQ(oss.str(), "NPU");
-  oss.str("");
   oss << phi::Backend::ONEDNN;
   EXPECT_EQ(oss.str(), "ONEDNN");
   oss.str("");
@@ -62,7 +59,6 @@ TEST(Backend, StringToBackend) {
   EXPECT_EQ(phi::Backend::CPU, pexp::StringToBackend("CPU"));
   EXPECT_EQ(phi::Backend::GPU, pexp::StringToBackend("GPU"));
   EXPECT_EQ(phi::Backend::XPU, pexp::StringToBackend("XPU"));
-  EXPECT_EQ(phi::Backend::NPU, pexp::StringToBackend("NPU"));
   EXPECT_EQ(phi::Backend::ONEDNN, pexp::StringToBackend("OneDNN"));
   EXPECT_EQ(phi::Backend::GPUDNN, pexp::StringToBackend("GPUDNN"));
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)

test/cpp/phi/core/test_dense_tensor.cc

@@ -129,13 +129,6 @@ TEST(dense_tensor, shallow_copy) {
   CHECK(tensor_0.meta() == tensor_1.meta());
 }
 
-struct TestStorageProperties
-    : public StorageProperties,
-      public TypeInfoTraits<StorageProperties, NPUStorageProperties> {
-  virtual ~TestStorageProperties() = default;
-  static const char* name() { return "TestStorageProperties"; }
-};
-
 TEST(dense_tensor, storage_properties) {
   const DataType dtype{DataType::FLOAT32};
   const DDim dims({1, 2});
@@ -144,29 +137,9 @@ TEST(dense_tensor, storage_properties) {
   auto fancy_allocator = std::unique_ptr<Allocator>(new FancyAllocator);
   DenseTensor tensor(fancy_allocator.get(), meta);
 
-  // test no storage properties
-  bool caught_exception = false;
-  try {
-    tensor.storage_properties<NPUStorageProperties>();
-  } catch (phi::enforce::EnforceNotMet& error) {
-    caught_exception = true;
-  }
-  EXPECT_TRUE(caught_exception);
-
-  // test custom device storage properties
-  EXPECT_FALSE(tensor.storage_properties_initialized());
-  auto npu_properties = std::make_unique<NPUStorageProperties>();
-  npu_properties->storage_format = 3;
-  npu_properties->storage_dims = {1, 1, 1, 1, 16};
-  tensor.set_storage_properties(std::move(npu_properties));
-  EXPECT_TRUE(tensor.storage_properties_initialized());
-  auto get_npu_properties = tensor.storage_properties<NPUStorageProperties>();
-  CHECK_EQ(get_npu_properties.storage_format, 3);
-  CHECK_EQ(get_npu_properties.storage_dims.size(), 5);
-
   // test error type storage properties
 #ifdef PADDLE_WITH_MKLDNN
-  caught_exception = false;
+  bool caught_exception = false;
   try {
     tensor.storage_properties<OneDNNStorageProperties>();
   } catch (phi::enforce::EnforceNotMet& error) {
@@ -174,14 +147,6 @@ TEST(dense_tensor, storage_properties) {
   }
   EXPECT_TRUE(caught_exception);
 #endif
-
-  // test copy storage properties
-  auto cp_tensor = tensor;
-  auto get_cp_npu_properties =
-      cp_tensor.storage_properties<NPUStorageProperties>();
-  CHECK_EQ(get_cp_npu_properties.storage_format, 3);
-  CHECK_EQ(get_cp_npu_properties.storage_dims.size(), 5);
 }
-
 }  // namespace tests
 }  // namespace phi

test/xpu/test_merged_momentum_op_xpu_base.py

@@ -211,7 +211,6 @@ class TestMergedMomentumBase(unittest.TestCase):
         )
 
         def run_op(use_nesterov, use_merged):
-            # NPU Momentum Op does not support rescale_grad
             rescale_grad = 1.0
             return run_momentum_op(
                 params,