[CodeStyle][CINN] fix cpplint codestyle `[build/namespaces]` (#55051)

Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

paddle/cinn/auto_schedule/cost_model/feature_extractor.cc

@@ -41,7 +41,7 @@
 namespace cinn {
 namespace auto_schedule {
 
-using namespace ::cinn::ir;
+using namespace ::cinn::ir;  // NOLINT
 
 FeatureExtractor::FeatureExtractor() {}
 

paddle/cinn/auto_schedule/search_space/auto_gen_rule/auto_unroll_test.cc

@@ -24,7 +24,7 @@ namespace cinn {
 namespace auto_schedule {
 
 TEST(AutoUnroll, Init) {
-  using namespace ir;
+  using namespace ir;  // NOLINT
 
   Expr M(100);
   Expr N(4);
@@ -50,7 +50,7 @@ TEST(AutoUnroll, Init) {
 }
 
 TEST(AutoUnroll, UnrollableApply) {
-  using namespace ir;
+  using namespace ir;  // NOLINT
 
   Expr M(100);
   Expr N(4);

paddle/cinn/frontend/op_mappers/paddle/elementwise.cc

@@ -267,7 +267,15 @@ void FloorDivideOpMapper(const paddle::cpp::OpDesc& op_desc,
 }  // namespace cinn
 
 CINN_REGISTER_HELPER(paddle_elementwise) {
-  using namespace cinn::frontend::paddle_mappers;
+  using cinn::frontend::paddle_mappers::AddOpMapper;
+  using cinn::frontend::paddle_mappers::CastOpMapper;
+  using cinn::frontend::paddle_mappers::ElementwiseAddGradOpMapper;
+  using cinn::frontend::paddle_mappers::ElementwiseOpMapper;
+  using cinn::frontend::paddle_mappers::EltwiseType;
+  using cinn::frontend::paddle_mappers::FloorDivideOpMapper;
+  using cinn::frontend::paddle_mappers::PowOpMapper;
+  using cinn::frontend::paddle_mappers::SumOpMapper;
+
   CINN_REGISTER_OP_MAPPER(add, AddOpMapper)
   CINN_REGISTER_OP_MAPPER(elementwise_add,
                           ElementwiseOpMapper<EltwiseType::kAdd>)

paddle/cinn/hlir/framework/op_lowering.cc

@@ -36,7 +36,6 @@ using framework::shape_t;
 using framework::StrategyFunction;
 
 using common::Type;
-using namespace lang;
 
 using cinn::hlir::op::ExternalApiRegistry;
 

paddle/cinn/hlir/framework/op_lowering_test.cc

@@ -29,7 +29,8 @@ namespace cinn {
 namespace hlir {
 namespace framework {
 
-using namespace frontend;
+using frontend::NetBuilder;
+using frontend::RunDecomposer;
 
 void CodeGen(ir::LoweredFunc& func) {
 #ifdef CINN_WITH_CUDA

paddle/cinn/hlir/framework/parallel_compiler_test.cc

@@ -25,8 +25,6 @@ namespace cinn {
 namespace hlir {
 namespace framework {
 
-using namespace frontend;
-
 TEST(ParallelCompilerTest, Add_TEST_0) {
   frontend::NetBuilder builder("Add_TEST_0");
   auto A = builder.CreateInput(Float(32), {128, 128}, "A");
@@ -52,7 +50,7 @@ TEST(ParallelCompilerTest, Conv2d_Test_0) {
 
   auto target = common::DefaultNVGPUTarget();
   auto program = builder.Build();
-  auto graph = Optimize(&program, {}, target);
+  auto graph = frontend::Optimize(&program, {}, target);
   auto scope = BuildScope(target, graph);
 
   ParallelCompiler::CompileOptions option;
@@ -70,7 +68,7 @@ TEST(ParallelCompilerTest, Matmul_Test_0) {
 
   auto target = common::DefaultNVGPUTarget();
   auto program = builder.Build();
-  auto graph = Optimize(&program, {}, target);
+  auto graph = frontend::Optimize(&program, {}, target);
   auto scope = BuildScope(target, graph);
 
   ParallelCompiler::CompileOptions option;

paddle/cinn/hlir/pass/fusion_helper_base.h

@@ -28,7 +28,12 @@ namespace cinn {
 namespace hlir {
 namespace pass {
 
-using namespace framework;
+using framework::Graph;
+using framework::Node;
+using framework::NodeData;
+using framework::Operator;
+using framework::OpPatternKind;
+using framework::shape_t;
 
 class FusionHelperBase {
  public:

paddle/cinn/hlir/pass/op_fusion_pass_util.h

@@ -315,7 +315,7 @@ CONDITION_FUNC(reduce_fuse_broadcast) {
   };
 
   for (auto node : consumer->nodes_set) {
-    if (helper->GetOpKind(node) != kBroadcast) {
+    if (helper->GetOpKind(node) != framework::kBroadcast) {
       continue;
     }
 

paddle/cinn/optim/replace_call_with_expr_test.cc

@@ -25,7 +25,7 @@
 namespace cinn {
 namespace optim {
 
-using namespace poly;
+using namespace poly;  // NOLINT
 
 }  // namespace optim
 }  // namespace cinn

paddle/cinn/optim/unroll_loops_test.cc

@@ -26,7 +26,7 @@ namespace cinn {
 namespace optim {
 
 TEST(UnrollLoops, unrolled_tag) {
-  using namespace ir;
+  using namespace ir;  // NOLINT
 
   Expr M(100);
   Expr N(4);
@@ -64,7 +64,7 @@ TEST(UnrollLoops, unrolled_tag) {
 }
 
 TEST(UnrollLoops, auto_unroll) {
-  using namespace ir;
+  using namespace ir;  // NOLINT
 
   Expr M(100);
   Expr N(4);

paddle/cinn/poly/ast_gen_test.cc

@@ -32,8 +32,7 @@
 namespace cinn {
 namespace poly {
 
-using namespace cinn::ir;
-using namespace cinn::lang;
+using namespace cinn::ir;  // NOLINT
 
 TEST(TransIdentityExtentToContextId, basic) {
   isl_ctx* ctx = isl_ctx_alloc();
@@ -72,7 +71,7 @@ TEST(AstGen_Build, not_delete_length1_loop) {
       }
       LOG(INFO) << "index_length1 hint = " << index_length1[0]
                 << index_length1[1] << index_length1[2] << index_length1[3];
-      Placeholder<float> A("A", len1_shape);
+      lang::Placeholder<float> A("A", len1_shape);
       Tensor B = lang::Compute(
           len1_shape,
           [&](const std::vector<Expr>& indice) {

paddle/cinn/pybind/utils.cc

@@ -20,7 +20,10 @@ namespace py = pybind11;
 namespace cinn {
 namespace pybind {
 
-using namespace cinn::utils;
+using cinn::utils::EventType;
+using cinn::utils::HostEvent;
+using cinn::utils::HostEventRecorder;
+using cinn::utils::ProfilerHelper;
 
 void BindUtils(py::module *m) {
   py::enum_<EventType>(*m, "EventType")

paddle/cinn/runtime/cuda/cuda_module_test.cc

@@ -52,7 +52,7 @@ void saxpy(float a, float *x, float *y, float *out, size_t n)
 
 TEST(CUDAModule, float16) {
   using common::float16;
-  using namespace runtime::cuda::util;
+  using runtime::cuda::util::Vector;
 
   auto generate_ptx = [] {
     backends::nvrtc::Compiler compiler;
@@ -121,7 +121,7 @@ TEST(CUDAModule, float16) {
 
 TEST(CUDAModule, bfloat16) {
   using common::bfloat16;
-  using namespace runtime::cuda::util;
+  using runtime::cuda::util::Vector;
 
   auto generate_ptx = [] {
     backends::nvrtc::Compiler compiler;