update some trt log (#49330)

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

@@ -272,7 +272,7 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
     if (x->Var()->GetDataType() == framework::proto::VarType::INT64) {
       std::string tmp_name = x->Name() + "_cast_to_INT32";
       LOG(WARNING)
-          << "tensorrt_subgraph's input named " << tmp_name
+          << "tensorrt_subgraph's input named " << x->Name()
           << " having int64 dtype in pdmodel description, we will cast them to "
              "int32 dtype to feed them into paddle-trt.";
       /*
@@ -395,7 +395,7 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
             map_origin_outputs_dtype[name]) ==
         framework::proto::VarType::INT64) {
       std::string tmp_name = name + "_cast_to_INT64";
-      LOG(WARNING) << "tensorrt_subgraph's output named " << tmp_name
+      LOG(WARNING) << "tensorrt_subgraph's output named " << name
                    << " having int64 dtype in pdmodel description, but in fact "
                       "it is int32 "
                       "dtype after executing this tensorrt_subgraph, so we "

paddle/fluid/inference/api/analysis_predictor.h

@@ -105,7 +105,14 @@ class AnalysisPredictor : public PaddlePredictor {
     }
     auto trt_identifier = config_.trt_engine_memory_sharing_identifier_;
     if (trt_identifier > 0) {
+      // NOTE(liuyuanle): For convenience, we set the id of the predictor to
+      // negative sharing_identifier directly. In the future, this may affect
+      // the meaning of negative predictor id.
       predictor_id_ = -trt_identifier;
+      LOG(WARNING)
+          << "Since the engine context memory of multiple predictors "
+             "is enabled in Paddle-TRT, we set the id of current predictor to "
+             "negative sharing_identifier you specified.";
     } else {
       predictor_id_ = inference::GetUniqueId();
     }

paddle/fluid/inference/tensorrt/engine.cc

@@ -75,7 +75,6 @@ void TensorRTEngine::InitNetwork() {
   }
 
   infer_builder_config_.reset(infer_builder_->createBuilderConfig());
-  // optim_profile_ = infer_builder_->createOptimizationProfile();
   optim_profiles_.resize(max_profile_num_);
   for (int i = 0; i < max_profile_num_; i++)
     optim_profiles_[i] = infer_builder_->createOptimizationProfile();

paddle/fluid/inference/tensorrt/engine.h

@@ -802,6 +802,8 @@ class TRTEngineManager {
   }
 
   void updateContextMemorySize(size_t mem_size, PredictorID predictor_id) {
+    VLOG(3) << "TensorRT engine context memory size is " << mem_size
+            << " in predictor id " << predictor_id;
     bool size_updated{false};
 
     {
@@ -825,7 +827,6 @@ class TRTEngineManager {
     if (context_memorys_.count(predictor_id) == 0) {
       auto context_memory =
           memory::Alloc(place, max_ctx_mem_size_ + alignment, stream);
-      // context_memory_[predictor_id].reset(context_memory.release());
       context_memorys_[predictor_id] = std::move(context_memory);
     }
     return getAlignedMemory(context_memorys_[predictor_id]->ptr(), alignment);