cherry-pick (#36653)

cherry-pick prs

#36568
fix fc fuse compat problem

#36610
support lite xpu choose device id

#36010
update lite branch

#36628
add file exists check

cmake/external/lite.cmake

@@ -50,7 +50,7 @@ if (NOT LITE_SOURCE_DIR OR NOT LITE_BINARY_DIR)
   set(LITE_INSTALL_DIR ${THIRD_PARTY_PATH}/install/lite)
 
   if(NOT LITE_GIT_TAG)
-    set(LITE_GIT_TAG 4ab64daecc11fbf74fffdc6a4733f388472e7d5d)
+    set(LITE_GIT_TAG 62fc737d4a553bca738f96b0402b28f26a8d2d4f)
   endif()
 
   if(NOT CUDA_ARCH_NAME)
@@ -197,9 +197,9 @@ set(LITE_SHARED_LIB ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libpaddle_
 if (LITE_WITH_NNADAPTER)
   set(LITE_NNADAPTER_LIB ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libnnadapter.so)
   if (NNADAPTER_WITH_HUAWEI_ASCEND_NPU)
-    external_lite_libs(lite_nnadapter ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libnnadapter.so ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libnnadapter_driver_huawei_ascend_npu.so)
+    external_lite_libs(lite_nnadapter ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libnnadapter.so ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libhuawei_ascend_npu.so)
     set(LITE_DEPS lite_full_static lite_nnadapter)
-    set(LITE_NNADAPTER_NPU_LIB ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libnnadapter_driver_huawei_ascend_npu.so)
+    set(LITE_NNADAPTER_NPU_LIB ${LITE_BINARY_DIR}/${LITE_OUTPUT_BIN_DIR}/cxx/lib/libhuawei_ascend_npu.so)
   endif()
 else()
   set(LITE_DEPS lite_full_static)

paddle/fluid/framework/ir/fc_fuse_pass.cc

@@ -51,7 +51,12 @@ FCFusePass::FCFusePass() {
       .IsTensor()
       .End()
       .AddAttr("axis")
-      .IsNumGE(1)
+      .IsNumMatch<int>([](int axis) -> bool {
+        if (axis == -1 || axis >= 1) {
+          return true;
+        }
+        return false;
+      })
       .End();
 
   AddOpCompat(OpCompat("relu"))

paddle/fluid/inference/analysis/argument.h

@@ -238,6 +238,7 @@ struct Argument {
   DECL_ARGUMENT_FIELD(xpu_autotune_file, XpuAutotuneFile, std::string);
   DECL_ARGUMENT_FIELD(xpu_precision, XpuPrecision, std::string);
   DECL_ARGUMENT_FIELD(xpu_adaptive_seqlen, XpuAdaptiveSeqlen, bool);
+  DECL_ARGUMENT_FIELD(xpu_device_id, XpuDeviceId, int);
 
   DECL_ARGUMENT_FIELD(use_nnadapter, UseNNAdapter, bool);
   DECL_ARGUMENT_FIELD(nnadapter_model_cache_dir, NNAdapterModelCacheDir,

paddle/fluid/inference/analysis/ir_pass_manager.cc

@@ -202,6 +202,7 @@ void IRPassManager::CreatePasses(Argument *argument,
                 new std::string(argument->xpu_autotune_file()));
       pass->Set("precision", new std::string(argument->xpu_precision()));
       pass->Set("adaptive_seqlen", new bool(argument->xpu_adaptive_seqlen()));
+      pass->Set("xpu_device_id", new int(argument->xpu_device_id()));
       // NNAdapter Related
       pass->Set("use_nnadapter", new bool(argument->use_nnadapter()));
       pass->Set("nnadapter_model_cache_dir",

paddle/fluid/inference/analysis/ir_passes/lite_subgraph_pass.cc

@@ -243,6 +243,7 @@ void LiteSubgraphPass::SetUpEngine(
   bool use_gpu = Get<bool>("use_gpu");
   bool enable_int8 = Get<bool>("enable_int8");
   bool use_xpu = Get<bool>("use_xpu");
+  int xpu_device_id = Get<int>("xpu_device_id");
   int xpu_l3_workspace_size = Get<int>("xpu_l3_workspace_size");
   int cpu_math_library_num_threads = Get<int>("cpu_math_library_num_threads");
   bool locked = Get<bool>("locked");
@@ -305,6 +306,7 @@ void LiteSubgraphPass::SetUpEngine(
   };
   config.cpu_math_library_num_threads = cpu_math_library_num_threads;
   config.xpu_l3_workspace_size = xpu_l3_workspace_size;
+  config.device_id = xpu_device_id;
   config.locked = locked;
   config.autotune = autotune;
   config.autotune_file = autotune_file;

paddle/fluid/inference/api/analysis_predictor.cc

@@ -619,6 +619,7 @@ void AnalysisPredictor::PrepareArgument() {
     argument_.SetXpuAutotuneFile(config_.xpu_autotune_file_);
     argument_.SetXpuPrecision(config_.xpu_precision_);
     argument_.SetXpuAdaptiveSeqlen(config_.xpu_adaptive_seqlen_);
+    argument_.SetXpuDeviceId(config_.xpu_device_id_);
     // NNAdapter related
     argument_.SetUseNNAdapter(config_.NNAdapter().use_nnadapter);
     argument_.SetNNAdapterDeviceNames(

paddle/fluid/inference/lite/engine.cc

@@ -67,6 +67,7 @@ paddle::lite_api::PaddlePredictor* EngineManager::Create(
   lite_cxx_config.set_xpu_conv_autotune(cfg.autotune, cfg.autotune_file);
   lite_cxx_config.set_xpu_multi_encoder_method(cfg.precision,
                                                cfg.adaptive_seqlen);
+  lite_cxx_config.set_xpu_dev_per_thread(cfg.device_id);
 #endif
 
 #ifdef LITE_SUBGRAPH_WITH_NPU

paddle/fluid/inference/lite/engine.h

@@ -39,6 +39,9 @@ struct EngineConfig {
   std::vector<std::string> neglected_passes;
   lite_api::LiteModelType model_type{lite_api::LiteModelType::kProtobuf};
   bool model_from_memory{true};
+  // TODO(wilber): now only works for xpu, lite gpu can support device_id or
+  // not?
+  int device_id = 0;
 
   // for xpu
   size_t xpu_l3_workspace_size;

paddle/fluid/inference/utils/io_utils.cc

@@ -197,6 +197,9 @@ void SerializeShapeRangeInfo(
 void DeserializeShapeRangeInfo(
     const std::string &path, paddle::inference::proto::ShapeRangeInfos *info) {
   int fd = open(path.c_str(), O_RDONLY);
+  if (fd == -1) {
+    PADDLE_THROW(platform::errors::NotFound("File [%s] is not found.", path));
+  }
   google::protobuf::io::FileInputStream *is =
       new google::protobuf::io::FileInputStream(fd);
   google::protobuf::TextFormat::Parse(is, info);

paddle/fluid/inference/utils/io_utils_tester.cc

@@ -118,4 +118,7 @@ TEST(shape_info_io, read_and_write) {
   std::vector<std::string> names{"test1"};
   paddle::inference::UpdateShapeRangeInfo(path, min_shape, max_shape, opt_shape,
                                           names);
+  ASSERT_THROW(paddle::inference::DeserializeShapeRangeInfo(
+                   "no_exists_file", &min_shape, &max_shape, &opt_shape);
+               , paddle::platform::EnforceNotMet);
 }

paddle/scripts/paddle_build.sh

@@ -223,7 +223,7 @@ function cmake_base() {
         -DWITH_GLOO=${gloo_flag}
         -DWITH_LITE=${WITH_LITE:-OFF}
         -DWITH_XPU=${WITH_XPU:-OFF}
-        -DLITE_GIT_TAG=_release/v2.10
+        -DLITE_GIT_TAG=release/v2.10
         -DWITH_UNITY_BUILD=${WITH_UNITY_BUILD:-OFF}
         -DWITH_XPU_BKCL=${WITH_XPU_BKCL:-OFF}
         -DWITH_ARM=${WITH_ARM:-OFF}
@@ -266,7 +266,7 @@ EOF
         -DWITH_PSCORE=${distibuted_flag} \
         -DWITH_PSLIB=${WITH_PSLIB:-OFF} \
         -DWITH_GLOO=${gloo_flag} \
-        -DLITE_GIT_TAG=_release/v2.10 \
+        -DLITE_GIT_TAG=release/v2.10 \
         -DWITH_XPU=${WITH_XPU:-OFF} \
         -DXPU_SDK_ROOT=${XPU_SDK_ROOT:-""} \
         -DWITH_LITE=${WITH_LITE:-OFF} \

tools/check_api_approvals.sh

@@ -41,13 +41,13 @@ function add_failed(){
 api_params_diff=`python ${PADDLE_ROOT}/tools/check_api_compatible.py ${PADDLE_ROOT}/paddle/fluid/API_DEV.spec  ${PADDLE_ROOT}/paddle/fluid/API_PR.spec` 
 api_spec_diff=`python ${PADDLE_ROOT}/tools/diff_api.py ${PADDLE_ROOT}/paddle/fluid/API_DEV.spec.api  ${PADDLE_ROOT}/paddle/fluid/API_PR.spec.api` 
 if [ "$api_spec_diff" != "" -o "${api_params_diff}" != "" ]; then
-    echo_line="You must have one RD (XiaoguangHu01 or lanxianghit) approval for API change.\n"
+    echo_line="You must have one RD (XiaoguangHu01, lanxianghit or Superjomn) approval for API change.\n"
     echo_line="${echo_line} and one TPM approval for API change: \n"
     echo_line="${echo_line} jzhang533/ZhangJun, dingjiaweiww/DingJiaWei, Heeenrrry/LiKunLun, TCChenlong/ChenLong for general APIs\n"
     echo_line="${echo_line} PangHua/XiangHui for distributed related APIs\n"
     echo_line="${echo_line} twismon/WangYunKai, CheQiXiao/CheQiXiao for inference related APIs.\n"
 
-    check_approval 1 46782768 47554610
+    check_approval 1 46782768 47554610 328693
     check_approval 1 29231 23093488 28379894 11935832 2682285 12050047 50894398
 fi