"use built-in operator"

paddle/framework/CMakeLists.txt

@@ -29,4 +29,4 @@ add_dependencies(framework_py_proto framework_py_proto_init)
 proto_library(net_proto SRCS net_proto.proto DEPS op_proto)
 # cc_library(net SRCS net.cc DEPS operator net_proto op_registry fc_op)
 cc_library(net SRCS net.cc DEPS operator net_proto op_registry)
-cc_test(net_op_test SRCS net_op_test.cc DEPS net my_fc_op)
+cc_test(net_op_test SRCS net_op_test.cc DEPS net add_op mul_op sigmoid_op)

paddle/framework/net_op_test.cc

@@ -2,7 +2,10 @@
 #include <paddle/framework/net.h>
 #include <paddle/framework/op_registry.h>
 #include <paddle/framework/operator.h>
-#include "paddle/framework/fully_connected_op.h"
+
+USE_OP(add_two);
+USE_OP(mul);
+USE_OP(sigmoid);
 
 namespace paddle {
 namespace framework {
@@ -65,14 +68,18 @@ TEST(OpKernel, all) {
 
   ASSERT_THROW(net->AddOp(op2), EnforceNotMet);
 }
-
 TEST(AddBackwardOp, TestGradOp) {
   auto net = std::make_shared<PlainNet>();
   ASSERT_NE(net, nullptr);
-  auto op1 = std::make_shared<FCOp>();
-  op1->inputs_ = {"x", "w1", "b1"};
-  op1->outputs_ = {"y"};
-  net->AddOp(op1);
+  net->AddOp(framework::OpRegistry::CreateOp("mul", {"X", "Y"}, {"Out"}, {}));
+  net->AddOp(
+      framework::OpRegistry::CreateOp("add_two", {"X", "Y"}, {"Out"}, {}));
+  net->AddOp(framework::OpRegistry::CreateOp("add_two", {"X", "Y"}, {""}, {}));
+  // net->AddOp(framework::OpRegistry::CreateOp("fc"), {
+  //     Input("X"), Input("W"), Input("b")},
+  //   {Output("Y")},
+  //   {}
+  //   );
   auto grad_ops = AddBackwardOp(net);
   for (auto& op : grad_ops->ops_) {
     op->DebugString();

paddle/framework/op_registry.h

@@ -470,11 +470,11 @@ class GradOpRegisterHelper {
  */
 #define REGISTER_GRADIENT_OP(__op_type, __op_class)            \
   STATIC_ASSERT_GLOBAL_NAMESPACE(                              \
-      __reg_op__##__op_type,                                   \
+      __reg_gradient_op__##__op_type,                          \
       "REGISTER_GRADIENT_OP must be in global namespace");     \
   static ::paddle::framework::GradOpRegisterHelper<__op_class> \
-      __op_register_##__op_type##__(#__op_type);               \
-  int __op_register_##__op_type##_handle__() { return 0; }
+      __op_gradient_register_##__op_type##__(#__op_type);      \
+  int __op_gradient_register_##__op_type##_handle__() { return 0; }
 
 /**
  * Macro to Register OperatorKernel.

paddle/operators/add_op.cc

@@ -49,10 +49,25 @@ The equation is: Out = X + Y
 )DOC");
   }
 };
+
+class AddOpGrad : public framework::OperatorWithKernel {
+protected:
+  void InferShape(
+      const std::vector<const framework::Tensor *> &inputs,
+      const std::vector<framework::Tensor *> &outputs) const override {}
+  std::string DebugString() const override {
+    LOG(INFO) << "AddOpGrad";
+    return "";
+  }
+};
+
 }  // namespace operators
 }  // namespace paddle
 
 REGISTER_OP(add_two, paddle::operators::AddOp, paddle::operators::AddOpMaker);
+REGISTER_GRADIENT_OP(add_two, paddle::operators::AddOpGrad);
+
 typedef paddle::operators::AddKernel<::paddle::platform::CPUPlace, float>
     AddKernel_CPU_float;
 REGISTER_OP_CPU_KERNEL(add_two, AddKernel_CPU_float);
+// REGISTER_OP_CPU_KERNEL(add_two, AddKernel_CPU_float);

paddle/operators/add_op_test.cc

@@ -16,8 +16,13 @@ limitations under the License. */
 #define private public
 #include <paddle/framework/op_registry.h>
 USE_OP(add_two);
+// USE_OP(add_two_grad);
+
 TEST(AddOp, GetOpProto) {
   auto& protos = paddle::framework::OpRegistry::protos();
   auto it = protos.find("add_two");
   ASSERT_NE(it, protos.end());
-}
+  auto& grad_creators = paddle::framework::OpRegistry::grad_creators();
\ No newline at end of file
+  auto it1 = grad_creators.find("add_two");
+  ASSERT_NE(it1, grad_creators.end());
+}

paddle/operators/mul_op.cc

@@ -52,9 +52,22 @@ The equation is: Out = X * Y
   }
 };
 
+class MulOpGrad : public framework::OperatorWithKernel {
+protected:
+  void InferShape(
+      const std::vector<const framework::Tensor *> &inputs,
+      const std::vector<framework::Tensor *> &outputs) const override {}
+  std::string DebugString() const override {
+    LOG(INFO) << "MulGrad";
+    return "";
+  }
+};
+
 }  // namespace operators
 }  // namespace paddle
 
 REGISTER_OP(mul, paddle::operators::MulOp, paddle::operators::MulOpMaker);
+REGISTER_GRADIENT_OP(mul, paddle::operators::MulOpGrad);
+
 REGISTER_OP_CPU_KERNEL(
     mul, paddle::operators::MulKernel<paddle::platform::CPUPlace>);

paddle/operators/sigmoid_op.cc

@@ -39,11 +39,24 @@ public:
   }
 };
 
+class SigmoidOpGrad : public framework::OperatorWithKernel {
+protected:
+  void InferShape(
+      const std::vector<const framework::Tensor *> &inputs,
+      const std::vector<framework::Tensor *> &outputs) const override {}
+  std::string DebugString() const override {
+    LOG(INFO) << "SigmoidGrad";
+    return "";
+  }
+};
+
 }  // namespace operators
 }  // namespace paddle
 
 REGISTER_OP(sigmoid,
             paddle::operators::SigmoidOp,
             paddle::operators::SigmoidOpMaker);
+REGISTER_GRADIENT_OP(sigmoid, paddle::operators::SigmoidOpGrad);
+
 REGISTER_OP_CPU_KERNEL(
     sigmoid, paddle::operators::SigmoidKernel<paddle::platform::CPUPlace>);