refine io_convert and op_convert

paddle/fluid/inference/tensorrt/CMakeLists.txt

 nv_test(test_tensorrt SRCS test_tensorrt.cc DEPS dynload_cuda device_context dynamic_loader)
 nv_test(test_tensorrt_engine SRCS test_engine.cc engine.cc DEPS dynload_cuda)
-nv_test(test_io_converter SRCS test_io_converter.cc io_converter.cc DEPS dynload_cuda dynamic_loader lod_tensor)
 set(ENGINE_FILE ${CMAKE_CURRENT_SOURCE_DIR}/engine.cc)
 add_subdirectory(convert)

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

-nv_test(test_tensorrt_op_converter SRCS test_op_converter.cc mul_op.cc conv2d_op.cc DEPS ${FLUID_CORE_MODULES})
-nv_test(test_tensorrt_activation_op SRCS test_activation_op.cc ${ENGINE_FILE} activation_op.cc 
+nv_test(test_op_converter SRCS test_op_converter.cc mul_op.cc conv2d_op.cc DEPS ${FLUID_CORE_MODULES})
+nv_test(test_trt_activation_op SRCS test_activation_op.cc ${ENGINE_FILE} activation_op.cc 
   DEPS ${FLUID_CORE_MODULES} activation_op)
+nv_test(test_io_converter SRCS test_io_converter.cc io_converter.cc DEPS dynload_cuda dynamic_loader lod_tensor)

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

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/inference/tensorrt/io_converter.h"
+#include "paddle/fluid/inference/tensorrt/convert/io_converter.h"
 #include <cuda.h>
 #include "paddle/fluid/platform/enforce.h"
 
@@ -50,7 +50,7 @@ class DefaultInputConverter : public EngineInputConverter {
   }
 };
 
-REGISTER_TENSORRT_INPUT_CONVERTER(mul, DefaultInputConverter);
+REGISTER_TENSORRT_INPUT_CONVERTER(default, DefaultInputConverter);
 
 }  // namespace tensorrt
 }  // namespace inference

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

@@ -40,7 +40,8 @@ class EngineInputConverter {
   static void Run(const std::string& in_op_type, const LoDTensor& in, void* out,
                   size_t max_size, cudaStream_t* stream) {
     PADDLE_ENFORCE(stream != nullptr);
-    auto* converter = Registry<EngineInputConverter>::Lookup(in_op_type);
+    auto* converter = Registry<EngineInputConverter>::Lookup(
+        in_op_type, "default" /* default_type */);
     PADDLE_ENFORCE_NOT_NULL(converter);
     converter->SetStream(stream);
     (*converter)(in, out, max_size);

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

@@ -19,6 +19,7 @@ limitations under the License. */
 #include "paddle/fluid/framework/block_desc.h"
 #include "paddle/fluid/framework/scope.h"
 #include "paddle/fluid/inference/tensorrt/engine.h"
+#include "paddle/fluid/inference/utils/singleton.h"
 
 namespace paddle {
 namespace inference {
@@ -32,34 +33,23 @@ class OpConverter {
   OpConverter() {}
   virtual void operator()(const framework::OpDesc& op) {}
 
-  void Execute(const framework::OpDesc& op, TensorRTEngine* engine) {
+  void Run(const framework::OpDesc& op, TensorRTEngine* engine) {
     std::string type = op.Type();
-    auto it = converters_.find(type);
-    PADDLE_ENFORCE(it != converters_.end(), "no OpConverter for optype [%s]",
-                   type);
-    it->second->SetEngine(engine);
-    (*it->second)(op);
-  }
-
-  static OpConverter& Global() {
-    static auto* x = new OpConverter;
-    return *x;
-  }
-
-  template <typename T>
-  void Register(const std::string& key) {
-    converters_[key] = new T;
+    auto* it = Registry<OpConverter>::Lookup(type);
+    PADDLE_ENFORCE_NOT_NULL(it, "no OpConverter for optype [%s]", type);
+    it->SetEngine(engine);
+    (*it)(op);
   }
 
   // convert fluid op to tensorrt layer
   void ConvertOp(const framework::OpDesc& op, TensorRTEngine* engine) {
-    OpConverter::Global().Execute(op, engine);
+    OpConverter::Run(op, engine);
   }
 
   // convert fluid block to tensorrt network
   void ConvertBlock(const framework::BlockDesc& block, TensorRTEngine* engine) {
     for (auto op : block.AllOps()) {
-      OpConverter::Global().Execute(*op, engine);
+      OpConverter::Run(*op, engine);
     }
   }
 
@@ -78,12 +68,12 @@ class OpConverter {
   framework::Scope* scope_{nullptr};
 };
 
-#define REGISTER_TRT_OP_CONVERTER(op_type__, Converter__)      \
-  struct trt_##op_type__##_converter {                         \
-    trt_##op_type__##_converter() {                            \
-      OpConverter::Global().Register<Converter__>(#op_type__); \
-    }                                                          \
-  };                                                           \
+#define REGISTER_TRT_OP_CONVERTER(op_type__, Converter__)       \
+  struct trt_##op_type__##_converter {                          \
+    trt_##op_type__##_converter() {                             \
+      Registry<OpConverter>::Register<Converter__>(#op_type__); \
+    }                                                           \
+  };                                                            \
   trt_##op_type__##_converter trt_##op_type__##_converter__;
 
 }  // namespace tensorrt

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

@@ -26,7 +26,7 @@ namespace paddle {
 namespace inference {
 namespace tensorrt {
 
-void compare(float input, float expect) {
+void Compare(float input, float expect) {
   framework::Scope scope;
   platform::CUDAPlace place;
   platform::CUDADeviceContext ctx(place);
@@ -85,8 +85,8 @@ void compare(float input, float expect) {
 }
 
 TEST(OpConverter, ConvertRelu) {
-  compare(1, 1);   // relu(1) = 1
-  compare(-5, 0);  // relu(-5) = 0
+  Compare(1, 1);   // relu(1) = 1
+  Compare(-5, 0);  // relu(-5) = 0
 }
 
 }  // namespace tensorrt

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

@@ -13,7 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/framework/lod_tensor.h"
-#include "paddle/fluid/inference/tensorrt/io_converter.h"
+#include "paddle/fluid/inference/tensorrt/convert/io_converter.h"
 
 #include <gtest/gtest.h>
 
@@ -34,7 +34,7 @@ TEST_F(EngineInputConverterTester, DefaultCPU) {
   ASSERT_EQ(cudaMalloc(&buffer, tensor.memory_size()), 0);
 
   cudaStream_t stream;
-  EngineInputConverter::Run("mul", tensor, buffer, tensor.memory_size(),
+  EngineInputConverter::Run("test", tensor, buffer, tensor.memory_size(),
                             &stream);
 }
 
@@ -44,7 +44,7 @@ TEST_F(EngineInputConverterTester, DefaultGPU) {
   ASSERT_EQ(cudaMalloc(&buffer, tensor.memory_size()), 0);
 
   cudaStream_t stream;
-  EngineInputConverter::Run("mul", tensor, buffer, tensor.memory_size(),
+  EngineInputConverter::Run("test", tensor, buffer, tensor.memory_size(),
                             &stream);
 }
 

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

@@ -20,7 +20,7 @@ namespace paddle {
 namespace inference {
 namespace tensorrt {
 
-TEST(BlockConverter, ConvertBlock) {
+TEST(OpConverter, ConvertBlock) {
   framework::ProgramDesc prog;
   auto* block = prog.MutableBlock(0);
   auto* mul_op = block->AppendOp();

paddle/fluid/inference/utils/singleton.h

@@ -14,6 +14,7 @@ limitations under the License. */
 
 #pragma once
 
+#include <string>
 #include <unordered_map>
 #include "paddle/fluid/platform/enforce.h"
 
@@ -49,9 +50,15 @@ struct Registry {
     items_[name] = new ItemChild;
   }
 
-  static ItemParent* Lookup(const std::string& name) {
+  static ItemParent* Lookup(const std::string& name,
+                            const std::string& default_name = "") {
     auto it = items_.find(name);
-    if (it == items_.end()) return nullptr;
+    if (it == items_.end()) {
+      if (default_name == "")
+        return nullptr;
+      else
+        return items_.find(default_name)->second;
+    }
     return it->second;
   }