use template to do registry

paddle/fluid/inference/tensorrt/convert/CMakeLists.txt

-nv_library(tensorrt_convert SRCS convert.cc DEPS dynload_cuda)
+nv_library(tensorrt_convert SRCS convert.cc mul_op.cc conv2d_op.cc DEPS dynload_cuda)
 nv_test(test_tensorrt_convert SRCS test_convert.cc DEPS tensorrt paddle_fluid)

paddle/fluid/inference/tensorrt/convert/convert_conv2d.h → paddle/fluid/inference/tensorrt/convert/conv2d_op.cc

@@ -12,25 +12,18 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#pragma once
 #include "paddle/fluid/inference/tensorrt/convert/convert.h"
 
 namespace paddle {
 namespace inference {
 namespace tensorrt {
 
-class Conv2dOpConverter : public OpConverter {
- public:
-  Conv2dOpConverter() {}
-  void Convert(const framework::OpDesc& op);
-};
+REGISTER_TRT_OP_CONVETER(conv2d, Conv2dOpConverter);
 
 void Conv2dOpConverter::Convert(const framework::OpDesc& op) {
   LOG(INFO) << "convert a fluid conv2d op to tensorrt conv layer without bias";
 }
 
-REGISTER_TRT_OP_CONVETER(conv2d, Conv2dOpConverter);
-
 }  // namespace tensorrt
 }  // namespace inference
 }  // namespace paddle

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

@@ -13,8 +13,6 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/inference/tensorrt/convert/convert.h"
-#include "paddle/fluid/inference/tensorrt/convert/convert_conv2d.h"
-#include "paddle/fluid/inference/tensorrt/convert/convert_mul.h"
 
 namespace paddle {
 namespace inference {
@@ -23,10 +21,8 @@ namespace tensorrt {
 void TensorRTConverter::ConvertBlock(const framework::BlockDesc& block) {
   for (auto op : block.AllOps()) {
     std::string type = op->Type();
-    PADDLE_ENFORCE(GetOpConverter().count(type),
-                   "No converter registered for op: %s", type);
-    auto op_converter = GetOpConverter()[type];
-    op_converter->Convert(*op);
+    OpConverter op_converter;
+    op_converter.Convert(*op);
   }
 }
 

paddle/fluid/inference/tensorrt/convert/convert.h

@@ -26,9 +26,21 @@ namespace paddle {
 namespace inference {
 namespace tensorrt {
 
-class ConverterBase {
+class OpConverter {
  public:
-  ConverterBase() {}
+  OpConverter() {}
+
+  void Convert(const framework::OpDesc& op) {
+    std::string type = op.Type();
+    OpConverter& op_converter = this->register_op_converter_[type];
+    op_converter.Convert(op);
+  }
+
+  template <typename T>
+  static void Register(const std::string key) {
+    register_op_converter_[key] = T();
+  }
+  static std::unordered_map<std::string, OpConverter> register_op_converter_;
 
   // fluid inference scope
   framework::Scope* scope_;
@@ -37,30 +49,14 @@ class ConverterBase {
   std::unordered_map<std::string, nvinfer1::ITensor*> tr_tensors_;
 };
 
-class OpConverter : public ConverterBase {
- public:
-  OpConverter() {}
-  virtual ~OpConverter() {}
-
-  // convert fluid op to tensorrt layer
-  virtual void Convert(const framework::OpDesc& op) = 0;
-};
-
-static std::unordered_map<std::string, OpConverter*>& GetOpConverter() {
-  static std::unordered_map<std::string, OpConverter*> register_op_converter;
-  return register_op_converter;
-}
-
-#define REGISTER_TRT_OP_CONVETER(op_type, convert_class) \
-  class convert_class##Register {                        \
-   public:                                               \
-    convert_class##Register() {                          \
-      GetOpConverter()[#op_type] = new convert_class;    \
-    }                                                    \
-  };                                                     \
-  convert_class##Register convert_class##reg;
+#define REGISTER_TRT_OP_CONVETER(op_type, convert_class)                \
+  class convert_class : public OpConverter {                            \
+   public:                                                              \
+    convert_class() { OpConverter::Register<convert_class>(#op_type); } \
+    void Convert(const framework::OpDesc& op);                          \
+  }
 
-class TensorRTConverter : public ConverterBase {
+class TensorRTConverter {
  public:
   TensorRTConverter() {}
 

paddle/fluid/inference/tensorrt/convert/convert_mul.h → paddle/fluid/inference/tensorrt/convert/mul_op.cc

@@ -12,20 +12,14 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#pragma once
 #include "paddle/fluid/inference/tensorrt/convert/convert.h"
 
 namespace paddle {
 namespace inference {
 namespace tensorrt {
 
-class MulOpConverter : public OpConverter {
- public:
-  MulOpConverter() {}
-  void Convert(const framework::OpDesc& op);
-};
-
 REGISTER_TRT_OP_CONVETER(mul, MulOpConverter);
+
 void MulOpConverter::Convert(const framework::OpDesc& op) {
   LOG(INFO) << "convert a fluid mul op to tensorrt fc layer without bias";
 }