trt engine dtor when the last predictor dtor. (#35842)

paddle/fluid/framework/ir/fc_fuse_pass.cc

@@ -135,7 +135,7 @@ int FCFusePass::ApplyFCPattern(Graph* graph, bool with_relu) const {
     }
 
     // Create an FC Node.
-    OpDesc desc;
+    OpDesc desc(mul->Op()->Block());
     desc.SetType("fc");
 
     // Set inputs of fc

paddle/fluid/framework/ir/map_matmul_to_mul_pass.cc

@@ -220,7 +220,7 @@ void MapMatmul2MulPass::ApplyImpl(ir::Graph* graph) const {
         LOG(WARNING) << "Pass in op compat failed.";
         return;
       }
-      OpDesc desc;
+      OpDesc desc(matmul_op->Op()->Block());
       desc.SetType("mul");
       desc.SetInput("X", {matmul_in_x->Name()});
       desc.SetInput("Y", {matmul_in_y->Name()});
@@ -299,7 +299,7 @@ void Squeeze2MatmulFusePass::ApplyImpl(ir::Graph* graph) const {
         LOG(WARNING) << "Pass in op compat failed.";
         return;
       }
-      OpDesc desc;
+      OpDesc desc(matmul_op->Op()->Block());
       desc.SetType("mul");
       desc.SetInput("X", {squeeze2_in_x->Name()});
       desc.SetInput("Y", {matmul_in_y->Name()});
@@ -441,7 +441,7 @@ void Reshape2MatmulFusePass::ApplyImpl(ir::Graph* graph) const {
         LOG(WARNING) << "Pass in op compat failed.";
         return;
       }
-      OpDesc desc;
+      OpDesc desc(matmul_op->Op()->Block());
       desc.SetType("mul");
       desc.SetInput("X", {reshape2_in_x->Name()});
       desc.SetInput("Y", {matmul_in_y->Name()});
@@ -526,7 +526,7 @@ void Flatten2MatmulFusePass::ApplyImpl(ir::Graph* graph) const {
         LOG(WARNING) << "Pass in op compat failed.";
         return;
       }
-      OpDesc desc;
+      OpDesc desc(matmul_op->Op()->Block());
       desc.SetType("mul");
       desc.SetInput("X", {flatten2_in_x->Name()});
       desc.SetInput("Y", {matmul_in_y->Name()});

paddle/fluid/framework/op_desc.h

@@ -178,7 +178,7 @@ class OpDesc {
   }
 
   proto::OpDesc desc_;
-  BlockDesc *block_;  // not_own
+  BlockDesc *block_{nullptr};  // not_own
   // input arg name => input variable names
   VariableNameMap inputs_;
   // output arg name => output variable names

paddle/fluid/inference/api/analysis_predictor.cc

@@ -645,7 +645,17 @@ void AnalysisPredictor::OptimizeInferenceProgram() {
   VLOG(5) << "to prepare executor";
   ARGUMENT_CHECK_FIELD((&argument_), ir_analyzed_program);
   inference_program_.reset(
-      new framework::ProgramDesc(argument_.ir_analyzed_program()));
+      new framework::ProgramDesc(argument_.ir_analyzed_program()),
+      [](framework::ProgramDesc *prog) {
+// Note, please do NOT use any member variables, because member variables may
+// have been destructed in multiple threads.
+#if PADDLE_WITH_TENSORRT
+        paddle::inference::Singleton<
+            inference::tensorrt::TRTEngineManager>::Global()
+            .DeleteAll();
+#endif
+        delete prog;
+      });
   // The config and argument take a lot of storage,
   // when the predictor settings are complete, we release these stores.
   argument_.PartiallyRelease();

paddle/fluid/inference/tensorrt/op_teller.cc

@@ -159,6 +159,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
     if (op_type == "relu" || op_type == "relu6" || op_type == "tanh" ||
         op_type == "sigmoid") {
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -274,6 +280,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
 
     if (op_type == "matmul") {
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       for (auto& param_name : desc.Inputs()) {
         for (auto& var_name : param_name.second) {
           auto* var_desc = block->FindVar(var_name);
@@ -324,6 +336,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       if (axis[0] == 0 && axis.size() == 2) return false;
 
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -372,6 +390,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
         return false;
       } else {
         auto* block = desc.Block();
+        if (block == nullptr) {
+          VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                     "Developers need to check whether block_desc is passed in "
+                     "the pass.";
+          return false;
+        }
         auto* x_var_desc = block->FindVar(desc.Input("X")[0]);
         const auto x_shape = x_var_desc->GetShape();
         if (x_shape.size() == 1) {
@@ -385,6 +409,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       if (!with_dynamic_shape) return false;
 
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto index_var_name = desc.Input("Index")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
@@ -428,6 +458,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       if (data_layout != framework::DataLayout::kNCHW) return false;
 
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -439,6 +475,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
     if (op_type == "multiclass_nms") {
       if (with_dynamic_shape) return false;
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       for (auto& param_name : desc.Inputs()) {
         for (auto& var_name : param_name.second) {
           auto* var_desc = block->FindVar(var_name);
@@ -598,6 +640,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
         return false;
       }
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -657,6 +705,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
         }
       }
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -724,6 +778,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
         return false;
       }
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto* x_var_desc = block->FindVar(desc.Input("X")[0]);
       auto* y_var_desc = block->FindVar(desc.Input("Y")[0]);
       const auto x_shape = x_var_desc->GetShape();
@@ -775,6 +835,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       }
 
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -856,6 +922,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       }
       std::vector<int64_t> shape;
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       for (auto& param_name : desc.Inputs()) {
         for (auto& var_name : param_name.second) {
           auto* var_desc = block->FindVar(var_name);
@@ -881,6 +953,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
 
     if (op_type == "scale") {
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -892,6 +970,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
 
     if (op_type == "swish") {
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
@@ -916,6 +1000,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       }
 
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto* var_desc = block->FindVar(desc.Input("Alpha")[0]);
       if (!var_desc) {
         VLOG(3) << "Variable Alpha of prelu TRT converter not found.";
@@ -1051,6 +1141,12 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       }
 
       auto* block = desc.Block();
+      if (block == nullptr) {
+        VLOG(3) << "The block desc is nullptr, we can't continue to analyze. "
+                   "Developers need to check whether block_desc is passed in "
+                   "the pass.";
+        return false;
+      }
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();

paddle/scripts/paddle_build.sh

@@ -1161,8 +1161,8 @@ function parallel_test_base_gpu() {
 EOF
 
 set -x
-        # set trt_convert ut to run 30% cases.
-        export TEST_NUM_PERCENT_CASES=0.3
+        # set trt_convert ut to run 15% cases.
+        export TEST_NUM_PERCENT_CASES=0.15
         precison_cases=""
         bash $PADDLE_ROOT/tools/check_added_ut.sh
         if [ ${PRECISION_TEST:-OFF} == "ON" ]; then