add serial to trt test and do not print log for unused trt logs

paddle/fluid/inference/analysis/data_flow_graph.cc

@@ -112,8 +112,8 @@ void DataFlowGraph::Build(const framework::proto::ProgramDesc &prog) {
           out_alias->SetPbMsg(out->pb_msg());
           var2id[out_alias->name()] =
               out_alias->id();  // update variable's alias Node
-          LOG(INFO) << "loop found in graph, create SSA alias node ["
-                    << out_alias->repr() << "] for [" << out->repr() << "]";
+          VLOG(40) << "loop found in graph, create SSA alias node ["
+                   << out_alias->repr() << "] for [" << out->repr() << "]";
           out = out_alias;
         }
         out->inlinks.push_back(o);

paddle/fluid/inference/tensorrt/convert/activation_op.cc

@@ -27,7 +27,7 @@ class ActivationOpConverter : public OpConverter {
     // Here the two nullptr looks strange, that's because the
     // framework::OpDesc's constructor is strange.
     framework::OpDesc op_desc(op, nullptr);
-    LOG(INFO)
+    VLOG(3)
         << "convert a fluid Activation op to tensorrt activation layer whose "
            "type is "
         << op_type_;

paddle/fluid/inference/tensorrt/convert/batch_norm_op.cc

@@ -23,7 +23,7 @@ class BatchNormOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    LOG(INFO) << "convert a fluid batch norm op to tensorrt batch_norm";
+    VLOG(3) << "convert a fluid batch norm op to tensorrt batch_norm";
 
     framework::OpDesc op_desc(op, nullptr);
     PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);

paddle/fluid/inference/tensorrt/convert/concat_op.cc

@@ -25,7 +25,7 @@ class ConcatOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40) << "convert a fluid mul op to tensorrt mul layer without bias";
+    VLOG(3) << "convert a fluid mul op to tensorrt mul layer without bias";
 
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs

paddle/fluid/inference/tensorrt/convert/conv2d_op.cc

@@ -37,8 +37,7 @@ class Conv2dOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    LOG(INFO)
-        << "convert a fluid conv2d op to tensorrt conv layer without bias";
+    VLOG(3) << "convert a fluid conv2d op to tensorrt conv layer without bias";
 
     framework::OpDesc op_desc(op, nullptr);
     PADDLE_ENFORCE_EQ(op_desc.Input("Input").size(), 1);

paddle/fluid/inference/tensorrt/convert/dropout_op.cc

@@ -25,7 +25,7 @@ class DropoutOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40) << "convert a fluid dropout op to tensorrt dropout layer";
+    VLOG(3) << "convert a fluid dropout op to tensorrt dropout layer";
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs
     auto* input1 = engine_->GetITensor(op_desc.Input("X")[0]);

paddle/fluid/inference/tensorrt/convert/elementwise_op.cc

@@ -26,7 +26,7 @@ class ElementwiseWeightOpConverter : public OpConverter {
     // Here the two nullptr looks strange, that's because the
     // framework::OpDesc's constructor is strange.
     framework::OpDesc op_desc(op, nullptr);
-    LOG(INFO) << "convert a fluid elementwise op to tensorrt IScaleLayer";
+    VLOG(3) << "convert a fluid elementwise op to tensorrt IScaleLayer";
 
     PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);
     PADDLE_ENFORCE_EQ(op_desc.Input("Y").size(), 1);  // Y is a weight
@@ -108,7 +108,7 @@ class ElementwiseTensorOpConverter : public OpConverter {
     // Here the two nullptr looks strange, that's because the
     // framework::OpDesc's constructor is strange.
     framework::OpDesc op_desc(op, nullptr);
-    LOG(INFO) << "convert a fluid elementwise op to tensorrt IScaleLayer";
+    VLOG(3) << "convert a fluid elementwise op to tensorrt IScaleLayer";
 
     PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);
     PADDLE_ENFORCE_EQ(op_desc.Input("Y").size(), 1);  // Y is a weight

paddle/fluid/inference/tensorrt/convert/fc_op.cc

@@ -52,7 +52,7 @@ class FcOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40) << "convert a fluid fc op to tensorrt fc layer without bias";
+    VLOG(3) << "convert a fluid fc op to tensorrt fc layer without bias";
 
     framework::OpDesc op_desc(op, nullptr);
     PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1);

paddle/fluid/inference/tensorrt/convert/mul_op.cc

@@ -25,7 +25,7 @@ class MulOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40) << "convert a fluid mul op to tensorrt mul layer without bias";
+    VLOG(3) << "convert a fluid mul op to tensorrt mul layer without bias";
 
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs

paddle/fluid/inference/tensorrt/convert/pad_op.cc

@@ -25,7 +25,7 @@ class PadOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40) << "convert a fluid transpose op to tensorrt tranpose layer";
+    VLOG(3) << "convert a fluid transpose op to tensorrt tranpose layer";
 
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs

paddle/fluid/inference/tensorrt/convert/pool2d_op.cc

@@ -25,7 +25,7 @@ class Pool2dOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40)
+    VLOG(3)
         << "convert a fluid pool2d op to tensorrt pool2d layer without bias";
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs

paddle/fluid/inference/tensorrt/convert/softmax_op.cc

@@ -25,7 +25,7 @@ class SoftMaxOpConverter : public OpConverter {
  public:
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope, bool test_mode) override {
-    VLOG(40)
+    VLOG(3)
         << "convert a fluid softmax op to tensorrt softmax layer without bias";
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs

paddle/fluid/inference/tensorrt/helper.h

@@ -52,7 +52,7 @@ class NaiveLogger : public nvinfer1::ILogger {
   void log(nvinfer1::ILogger::Severity severity, const char* msg) override {
     switch (severity) {
       case Severity::kINFO:
-        LOG(INFO) << msg;
+        VLOG(3) << msg;
         break;
       case Severity::kWARNING:
         LOG(WARNING) << msg;

paddle/fluid/inference/tests/api/CMakeLists.txt

@@ -110,5 +110,5 @@ if(WITH_GPU AND TENSORRT_FOUND)
    endif()
    cc_test(test_trt_models SRCS trt_models_tester.cc  
      ARGS --dirname=${TRT_MODEL_INSTALL_DIR}/trt_test_models
-     DEPS paddle_inference_tensorrt_subgraph_engine)
+     DEPS paddle_inference_tensorrt_subgraph_engine SERIAL)
 endif()