[clang-tidy] No.26,27 enable misc-unused-using-decls,misc-unused-alias-decls (#56485)

* fix

* fix

.clang-tidy

@@ -163,8 +163,8 @@ cppcoreguidelines-c-copy-assignment-signature,
 -cppcoreguidelines-slicing,
 -hicpp-avoid-goto,
 -hicpp-exception-baseclass,
--misc-unused-alias-decls,
--misc-unused-using-decls,
+misc-unused-alias-decls,
+misc-unused-using-decls,
 modernize-avoid-bind,
 modernize-avoid-c-arrays,
 -modernize-deprecated-headers,

paddle/fluid/distributed/auto_parallel/spmd_rules/replicated_spmd_rule.cc

@@ -18,8 +18,6 @@ namespace paddle {
 namespace distributed {
 namespace auto_parallel {
 
-using phi::distributed::auto_parallel::str_join;
-
 std::pair<std::vector<TensorDistAttr>, std::vector<TensorDistAttr>>
 ReplicatedSPMDRule::InferForward(const std::vector<DistTensorSpec>& input_specs,
                                  const paddle::framework::AttributeMap& attrs) {

paddle/fluid/framework/ir/graph_pattern_detector.cc

@@ -24,9 +24,6 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
-using string::PrettyLog;
-using string::Style;
-
 size_t PDPattern::id_ = 0UL;
 
 #ifdef PADDLE_WITH_TENSORRT

paddle/fluid/framework/ir/memory_optimize_pass/recurrent_op_eager_deletion_pass.cc

@@ -27,7 +27,6 @@ namespace framework {
 namespace ir {
 
 using paddle::operators::OpAndGradOpPair;
-using paddle::operators::OpVariant;
 using paddle::operators::OpVariantSet;
 
 void RecurrentOpEagerDeletionPass::ApplyImpl(Graph *graph) const {

paddle/fluid/inference/analysis/ir_pass_manager.cc

@@ -33,7 +33,6 @@
 namespace paddle {
 namespace inference {
 namespace analysis {
-using string::PrettyLog;
 using string::PrettyLogEndl;
 using string::Style;
 

paddle/fluid/inference/api/analysis_predictor.cc

@@ -154,7 +154,6 @@ void UpdatePrivateDeviceContext(InferGPUContext *gpu_context,
 #endif
 }  // namespace
 
-using inference::Singleton;
 #ifdef PADDLE_WITH_TENSORRT
 using inference::tensorrt::TRTCalibratorEngine;
 using inference::tensorrt::TRTCalibratorEngineManager;
@@ -2527,6 +2526,7 @@ void AnalysisPredictor::ClearIntermediateTensor() {
 }
 
 #ifdef PADDLE_WITH_TENSORRT
+using inference::Singleton;
 bool AnalysisPredictor::SaveTrtCalibToDisk() {
   PADDLE_ENFORCE_EQ(config_.tensorrt_engine_enabled(),
                     true,

paddle/fluid/inference/api/mkldnn_quantizer.cc

@@ -37,7 +37,6 @@ namespace paddle {
 
 using framework::Variable;
 using framework::ir::Graph;
-using phi::CPUPlace;
 using ConstEigenVectorArrayMap =
     Eigen::Map<const Eigen::Array<float, Eigen::Dynamic, 1>>;
 using EigenMatrixDoubleArray =

paddle/fluid/operators/activation_op.cc

@@ -338,7 +338,6 @@ DEFINE_ACTIVATION_CPU_KERNEL(SoftRelu, SoftReluFunctor, SoftReluGradFunctor)
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 #define REGISTER_ACTIVATION_OP(KERNEL_TYPE, OP_NAME, functor, grad_functor) \
   REGISTER_OPERATOR(                                                        \

paddle/fluid/operators/add_position_encoding_op.cc

@@ -111,7 +111,6 @@ class AddPositionEncodingGradOpMaker : public framework::SingleGradOpMaker<T> {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plt = paddle::platform;
 
 REGISTER_OPERATOR(
     add_position_encoding,

paddle/fluid/operators/assign_pos_op.cc

@@ -75,7 +75,6 @@ specially counter orderingly.
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OP_WITHOUT_GRADIENT(assign_pos,
                              ops::AssignPosOp,

paddle/fluid/operators/center_loss_op.cc

@@ -145,7 +145,6 @@ DECLARE_NO_NEED_BUFFER_VARS_INFERER(CenterLossGradNoNeedBufVarsInferer, "X");
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OPERATOR(center_loss,
                   ops::CenterLossOp,

paddle/fluid/operators/flatten_op.cu.cc

@@ -15,7 +15,6 @@ limitations under the License. */
 #include "paddle/fluid/operators/flatten_op.h"
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OP_CUDA_KERNEL(flatten,
                         ops::FlattenKernel<phi::GPUContext, float>,

paddle/fluid/operators/fused/fused_seqpool_cvm_op.cc

@@ -281,7 +281,6 @@ class FusedSeqpoolCVMGradOpMaker : public framework::SingleGradOpMaker<T> {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OPERATOR(fused_seqpool_cvm,
                   ops::FusedSeqpoolCVMOp,

paddle/fluid/operators/limit_by_capacity_op.cc

@@ -81,7 +81,6 @@ class LimitByCapacityOpMaker : public framework::OpProtoAndCheckerMaker {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OP_WITHOUT_GRADIENT(limit_by_capacity,
                              ops::LimitByCapacityOp,

paddle/fluid/operators/memcpy_d2h_op.cc

@@ -106,7 +106,6 @@ raise error if the type is not listed above.
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 DECLARE_INFER_SHAPE_FUNCTOR(memcpy_d2h,
                             MemcpyD2HInferShapeFunctor,

paddle/fluid/operators/memcpy_h2d_op.cc

@@ -108,7 +108,6 @@ raise error if the type is not listed above.
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 DECLARE_INFER_SHAPE_FUNCTOR(memcpy_h2d,
                             MemcpyH2DInferShapeFunctor,

paddle/fluid/operators/memcpy_op.cc

@@ -127,7 +127,6 @@ raise error if the type is not listed above.
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 DECLARE_INFER_SHAPE_FUNCTOR(memcpy,
                             MemcpyInferShapeFunctor,

paddle/fluid/operators/mkldnn/interpolate_mkldnn_op.cc

@@ -19,11 +19,7 @@ namespace paddle {
 namespace operators {
 
 using dnnl::memory;
-using dnnl::primitive;
-using dnnl::reorder;
 using dnnl::resampling_forward;
-using dnnl::stream;
-using phi::DataLayout;
 using OneDNNMemoryFormat = dnnl::memory::format_tag;
 
 template <typename T = float>

paddle/fluid/operators/mkldnn/quantize_mkldnn_op.cc

@@ -23,10 +23,6 @@ namespace paddle {
 namespace operators {
 
 using dnnl::memory;
-using dnnl::primitive;
-using dnnl::reorder;
-using dnnl::stream;
-using phi::DataLayout;
 
 template <typename T>
 class QuantOpKernel : public framework::OpKernel<T> {

paddle/fluid/operators/mkldnn/requantize_mkldnn_op.cc

@@ -23,7 +23,6 @@ namespace paddle {
 namespace operators {
 
 using dnnl::memory;
-using dnnl::reorder;
 
 namespace {
 

paddle/fluid/operators/number_count_op.cc

@@ -56,7 +56,6 @@ class NumberCountOpMaker : public framework::OpProtoAndCheckerMaker {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OP_WITHOUT_GRADIENT(number_count,
                              ops::NumberCountOp,

paddle/fluid/operators/optimizers/adadelta_op.cc

@@ -89,7 +89,7 @@ $$
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace ops = paddle::operators;
+
 DECLARE_INFER_SHAPE_FUNCTOR(adadelta,
                             AdadeltaInferMetaFunctor,
                             PD_INFER_META(phi::AdadeltaInferMeta));

paddle/fluid/operators/optimizers/distributed_fused_lamb_init_op.cc

@@ -112,7 +112,6 @@ class DistributedFusedLambInitOpMaker
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OP_WITHOUT_GRADIENT(distributed_fused_lamb_init,
                              ops::DistributedFusedLambInitOp,

paddle/fluid/operators/optimizers/distributed_fused_lamb_op.cc

@@ -165,7 +165,6 @@ class DistributedFusedLambOpMaker : public framework::OpProtoAndCheckerMaker {
 }  // namespace operators
 }  // namespace paddle
 
-namespace plat = paddle::platform;
 namespace ops = paddle::operators;
 REGISTER_OP_WITHOUT_GRADIENT(distributed_fused_lamb,
                              ops::DistributedFusedLambOp,

paddle/fluid/operators/p_send_op.cc

@@ -65,7 +65,6 @@ class PSendArrayOpMaker : public framework::OpProtoAndCheckerMaker {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 DECLARE_INFER_SHAPE_FUNCTOR(p_send,
                             PSendInferShapeFunctor,

paddle/fluid/operators/print_op.cc

@@ -34,7 +34,6 @@ class OpBase;
 
 namespace paddle {
 namespace operators {
-using framework::GradVarName;
 
 #define CLOG std::cout
 

paddle/fluid/operators/pyramid_hash_op.cc

@@ -575,8 +575,7 @@ class CPUPyramidHashOPGradKernel : public framework::OpKernel<T> {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plt = paddle::platform;
-namespace frm = paddle::framework;
+
 REGISTER_OPERATOR(pyramid_hash,
                   ops::PyramidHashOP,
                   ops::PyramidHashOpMaker,

paddle/fluid/operators/random_crop_op.cc

@@ -88,7 +88,6 @@ class RandomCropOpMaker : public framework::OpProtoAndCheckerMaker {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace f = paddle::framework;
 REGISTER_OPERATOR(
     random_crop,
     ops::RandomCropOp,

paddle/fluid/operators/random_routing_op.cc

@@ -88,7 +88,6 @@ DECLARE_INPLACE_OP_INFERER(RandomRoutingInplaceInferer, {"TopK_Idx", "Out"});
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 REGISTER_OPERATOR(
     random_routing,

paddle/fluid/operators/set_value_op.cc

@@ -236,7 +236,6 @@ DECLARE_INPLACE_OP_INFERER(SetValueOpInplaceInferer, {"Input", "Out"});
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 
 DECLARE_INFER_SHAPE_FUNCTOR(set_value,
                             SetValueInferShapeFunctor,

paddle/fluid/operators/string/faster_tokenizer_op.cc

@@ -29,15 +29,8 @@ limitations under the License. */
 namespace paddle {
 namespace operators {
 
-using std::bad_cast;
-using std::codecvt_utf8;
-using std::endl;
-using std::exception;
 using std::ifstream;
 using std::int64_t;
-using std::min;
-using std::runtime_error;
-using std::shared_ptr;
 using std::size_t;
 using std::string;
 using std::unordered_map;

paddle/fluid/operators/sum_op.cc

@@ -243,8 +243,6 @@ DECLARE_INPLACE_OP_INFERER(SumInplaceInferer, {"X", "Out"});
 }  // namespace operators
 }  // namespace paddle
 
-namespace ops = paddle::operators;
-
 namespace ops = paddle::operators;
 DECLARE_INFER_SHAPE_FUNCTOR(sum,
                             AddNInferShapeFunctor,

paddle/fluid/operators/transfer_layout_op.cc

@@ -118,7 +118,6 @@ class TransferLayoutOpProtoMaker : public framework::OpProtoAndCheckerMaker {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plat = paddle::platform;
 DECLARE_INFER_SHAPE_FUNCTOR(transfer_layout,
                             TransferLayoutInferShapeFunctor,
                             PD_INFER_META(phi::TransferLayoutInferMeta));

paddle/fluid/operators/var_conv_2d_op.cc

@@ -523,8 +523,7 @@ class CPUVarConv2dOPGradKernel : public framework::OpKernel<T> {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-namespace plt = paddle::platform;
-namespace frm = paddle::framework;
+
 REGISTER_OPERATOR(var_conv_2d,
                   ops::VarConv2dOP,
                   ops::VarConv2dOpMaker,

paddle/fluid/pybind/data_set_py.cc

@@ -39,7 +39,6 @@ limitations under the License. */
 #include "paddle/fluid/pybind/data_set_py.h"
 
 namespace py = pybind11;
-namespace pd = paddle::framework;
 
 namespace paddle {
 namespace pybind {

paddle/fluid/pybind/distributed_py.cc

@@ -54,8 +54,6 @@ limitations under the License. */
 
 #include "paddle/phi/kernels/sync_batch_norm_kernel.h"
 
-namespace py = pybind11;
-
 namespace paddle {
 namespace pybind {
 

paddle/fluid/pybind/eager_py_layer.cc

@@ -43,8 +43,6 @@ limitations under the License. */
 namespace paddle {
 namespace pybind {
 
-namespace py = ::pybind11;
-
 PyTypeObject* p_pylayer_type;
 extern PyTypeObject* p_tensor_type;
 

paddle/fluid/pybind/heter_wrapper_py.cc

@@ -29,8 +29,6 @@ limitations under the License. */
 #include "paddle/fluid/framework/fleet/heter_wrapper.h"
 #include "paddle/fluid/pybind/heter_wrapper_py.h"
 
-namespace py = pybind11;
-
 namespace paddle {
 namespace pybind {
 #if defined(PADDLE_WITH_PSLIB) && !defined(PADDLE_WITH_HETERPS)

paddle/fluid/pybind/metrics_py.cc

@@ -30,8 +30,6 @@ limitations under the License. */
 
 #include "paddle/fluid/pybind/metrics_py.h"
 
-namespace py = pybind11;
-
 #if defined(PADDLE_WITH_PSLIB)
 namespace paddle {
 namespace pybind {

paddle/fluid/pybind/nccl_wrapper_py.cc

@@ -37,7 +37,6 @@ limitations under the License. */
 #include "paddle/fluid/pybind/nccl_wrapper_py.h"
 
 namespace py = pybind11;
-namespace pd = paddle::framework;
 
 namespace paddle {
 namespace pybind {

paddle/fluid/pybind/op_function_common.cc

@@ -35,7 +35,6 @@
 #include "paddle/fluid/pybind/imperative.h"
 #include "paddle/phi/common/complex.h"
 
-namespace py = pybind11;
 namespace paddle {
 namespace pybind {
 

paddle/fluid/pybind/protobuf.cc

@@ -44,9 +44,6 @@ PyTypeObject *g_blockdesc_pytype = nullptr;
 namespace pd = paddle::framework;
 namespace jit = paddle::jit;
 
-using paddle::distributed::TensorDistAttr;
-using paddle::distributed::auto_parallel::OperatorDistAttr;
-
 template <typename T>
 static pybind11::bytes SerializeMessage(
     T &self) {  // NOLINT due to pybind11 convention.

paddle/fluid/pybind/ps_gpu_wrapper_py.cc

@@ -29,8 +29,6 @@ limitations under the License. */
 #include "paddle/fluid/framework/fleet/ps_gpu_wrapper.h"
 #include "paddle/fluid/pybind/ps_gpu_wrapper_py.h"
 
-namespace py = pybind11;
-
 namespace paddle {
 namespace pybind {
 #ifdef PADDLE_WITH_HETERPS

paddle/phi/kernels/fusion/onednn/fused_matmul_kernel.cc

@@ -18,12 +18,7 @@
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/core/tensor_utils.h"
 
-using dnnl::engine;
-using dnnl::inner_product_forward;
 using dnnl::memory;
-using dnnl::prop_kind;
-using dnnl::stream;
-using phi::ReshapeToMatrix;
 
 namespace phi {
 namespace fusion {

paddle/phi/kernels/onednn/matmul_kernel.cc

@@ -23,7 +23,6 @@ using dnnl::engine;
 using dnnl::inner_product_forward;
 using dnnl::memory;
 using dnnl::prop_kind;
-using dnnl::stream;
 using phi::ReshapeToMatrix;
 
 namespace phi {