make config option DisableGlogInfo() able to mute all inference logs (#21318)

* make DisableGlogInfo able to mute all logs in inference. 

paddle/fluid/framework/naive_executor.cc

@@ -102,9 +102,8 @@ void NaiveExecutor::CreateOps(const ProgramDesc &desc, int block_id,
   for (const auto &op_desc : desc.Block(block_id).AllOps()) {
     if (!with_feed_fetch_ops &&
         (op_desc->Type() == "feed" || op_desc->Type() == "fetch")) {
-      string::PrettyLogEndl(string::Style::detail(), "---  skip [%s], %s -> %s",
-                            op_desc->Input("X")[0], op_desc->Type(),
-                            op_desc->Output("Out")[0]);
+      LOG(INFO) << "---  skip [" << op_desc->Input("X")[0] << "], "
+                << op_desc->Type() << " -> " << op_desc->Output("Out")[0];
       continue;
     }
     ops_.emplace_back(OpRegistry::CreateOp(*op_desc));

paddle/fluid/inference/analysis/analyzer.cc

@@ -29,8 +29,11 @@ void Analyzer::Run(Argument *argument) { RunAnalysis(argument); }
 void Analyzer::RunAnalysis(Argument *argument) {
   PADDLE_ENFORCE(argument->analysis_passes_valid(),
                  "analsis_passes is not valid in the argument.");
+  const bool disable_logs = argument->disable_logs();
   for (auto &pass : argument->analysis_passes()) {
-    string::PrettyLogH1("--- Running analysis [%s]", pass);
+    if (!disable_logs) {
+      string::PrettyLogH1("--- Running analysis [%s]", pass);
+    }
     if (!argument->enable_analysis_optim() && pass == "ir_analysis_pass")
       continue;
 

paddle/fluid/inference/analysis/analyzer_tester.cc

@@ -29,6 +29,7 @@ using namespace framework;  // NOLINT
 
 TEST(Analyzer, analysis_without_tensorrt) {
   Argument argument;
+  argument.SetDisableLogs(false);
   argument.SetModelDir(FLAGS_inference_model_dir);
   argument.SetEnableAnalysisOptim(false);
   argument.SetUseGPU(false);
@@ -41,6 +42,7 @@ TEST(Analyzer, analysis_without_tensorrt) {
 
 TEST(Analyzer, analysis_with_tensorrt) {
   Argument argument;
+  argument.SetDisableLogs(false);
   argument.SetEnableAnalysisOptim(false);
   argument.SetTensorRtMaxBatchSize(3);
   argument.SetTensorRtWorkspaceSize(1 << 20);

paddle/fluid/inference/analysis/argument.h

@@ -149,6 +149,9 @@ struct Argument {
   DECL_ARGUMENT_FIELD(analysis_passes, AnalysisPasses,
                       std::vector<std::string>);
 
+  // whether to mute all logs in inference.
+  DECL_ARGUMENT_FIELD(disable_logs, DisableLogs, bool);
+
   // Pass a set of op types to enable its mkldnn kernel
   DECL_ARGUMENT_FIELD(mkldnn_enabled_op_types, MKLDNNEnabledOpTypes,
                       std::unordered_set<std::string>);

paddle/fluid/inference/analysis/ir_pass_manager.cc

@@ -147,6 +147,7 @@ void IRPassManager::CreatePasses(Argument *argument,
       pass->Set("auto_config_layout",
                 new bool(argument->anakin_auto_config_layout()));
     }
+    disable_logs_ = argument->disable_logs();
     if (pass_name == "fc_fuse_pass") {
       pass->Set("use_gpu", new bool(argument->use_gpu()));
     }
@@ -164,7 +165,7 @@ std::unique_ptr<Graph> IRPassManager::Apply(std::unique_ptr<Graph> graph) {
   PADDLE_ENFORCE(graph.get());
   // Apply all the passes
   for (const auto &pass : passes_) {
-    if (pass->Type() != "graph_viz_pass") {
+    if (pass->Type() != "graph_viz_pass" && !disable_logs_) {
       PrettyLogEndl(Style::H2(), "--- Running IR pass [%s]", pass->Type());
     }
     graph.reset(pass->Apply(graph.release()));

paddle/fluid/inference/analysis/ir_pass_manager.h

@@ -56,6 +56,7 @@ class IRPassManager final {
 
   std::unique_ptr<Graph> graph_;
   std::vector<std::unique_ptr<framework::ir::Pass>> passes_;
+  bool disable_logs_{false};
 };
 
 }  // namespace analysis

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

@@ -108,8 +108,7 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
   framework::BlockDesc block_desc(nullptr, &block_proto);
   block_desc.Proto()->set_parent_idx(-1);
   block_desc.Proto()->set_idx(0);
-  string::PrettyLogDetail("---  detect a sub-graph with %d nodes",
-                          subgraph.size());
+  LOG(INFO) << "---  detect a sub-graph with " << subgraph.size() << " nodes";
 
   for (auto *node : subgraph) {
     auto *new_block_op = new_block->AppendOp();

paddle/fluid/inference/api/analysis_predictor.cc

@@ -452,6 +452,7 @@ void AnalysisPredictor::PrepareArgument() {
     passes.clear();
     LOG(INFO) << "ir_optim is turned off, no IR pass will be executed";
   }
+  argument_.SetDisableLogs(config_.glog_info_disabled());
   argument_.SetIrAnalysisPasses(passes);
   argument_.SetAnalysisPasses(config_.pass_builder()->AnalysisPasses());
   argument_.SetScopeNotOwned(scope_.get());
@@ -508,10 +509,10 @@ std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<
       framework::InitGflags(flags);
     }
   }
+  framework::InitGLOG("");
   if (config.glog_info_disabled()) {
     FLAGS_logtostderr = 1;
-    FLAGS_minloglevel = google::WARNING;
-    LOG(WARNING) << " - GLOG's LOG(INFO) is disabled.";
+    FLAGS_minloglevel = 2;  // GLOG_ERROR
   }
 
   std::unique_ptr<PaddlePredictor> predictor(new AnalysisPredictor(config));

paddle/fluid/platform/init.cc

@@ -46,6 +46,7 @@ namespace framework {
 #endif
 
 std::once_flag gflags_init_flag;
+std::once_flag glog_init_flag;
 std::once_flag p2p_init_flag;
 std::once_flag glog_warning_once_flag;
 
@@ -223,13 +224,15 @@ void SignalHandle(const char *data, int size) {
 #endif
 
 void InitGLOG(const std::string &prog_name) {
-  // glog will not hold the ARGV[0] inside.
-  // Use strdup to alloc a new string.
-  google::InitGoogleLogging(strdup(prog_name.c_str()));
+  std::call_once(glog_init_flag, [&]() {
+    // glog will not hold the ARGV[0] inside.
+    // Use strdup to alloc a new string.
+    google::InitGoogleLogging(strdup(prog_name.c_str()));
 #ifndef _WIN32
-  google::InstallFailureSignalHandler();
-  google::InstallFailureWriter(&SignalHandle);
+    google::InstallFailureSignalHandler();
+    google::InstallFailureWriter(&SignalHandle);
 #endif
+  });
 }
 
 }  // namespace framework