move net_op to operators/ (#3201)

* move net_op to operators

paddle/framework/CMakeLists.txt

@@ -31,10 +31,7 @@ py_proto_compile(framework_py_proto SRCS attr_type.proto op_proto.proto op_desc.
 add_custom_target(framework_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)
 add_dependencies(framework_py_proto framework_py_proto_init)
 
-cc_library(net SRCS net.cc DEPS op_registry)
-cc_test(net_op_test SRCS net_op_test.cc DEPS net)
-
-cc_library(backward SRCS backward.cc DEPS net)
+cc_library(backward SRCS backward.cc DEPS net_op)
 cc_test(backward_test SRCS backward_test.cc DEPS backward)
 cc_library(paddle_pybind SHARED
     SRCS pybind.cc

paddle/framework/backward.cc

@@ -14,8 +14,8 @@
 
 #include "paddle/framework/backward.h"
 #include <list>
-#include "paddle/framework/net.h"
 #include "paddle/framework/op_registry.h"
+#include "paddle/operators/net_op.h"
 
 namespace paddle {
 namespace framework {
@@ -32,7 +32,7 @@ static bool AllInSet(const std::vector<std::string>& names,
 }
 
 static std::shared_ptr<OperatorBase> NOP() {
-  auto net_op = std::make_shared<NetOp>();
+  auto net_op = std::make_shared<operators::NetOp>();
   net_op->type_ = "@NOP@";
   net_op->CompleteAddOp();
   return net_op;
@@ -77,11 +77,11 @@ std::shared_ptr<OperatorBase> BackwardRecursive(
   }
 
   // Returned gradient network
-  auto net = std::make_shared<NetOp>();
+  auto net = std::make_shared<operators::NetOp>();
 
   if (forwardOp.IsNetOp()) {
     // Because forwardOp is a net op, it can static_cast.
-    auto& forwardNet = static_cast<const NetOp&>(forwardOp);
+    auto& forwardNet = static_cast<const operators::NetOp&>(forwardOp);
 
     // Map from output gradient variable name to operator's indices in backward
     // net. That operator generates that variable.

paddle/framework/backward_test.cc

@@ -15,8 +15,9 @@
 #include "paddle/framework/backward.h"
 
 #include <gtest/gtest.h>
-#include "paddle/framework/net.h"
 #include "paddle/framework/op_registry.h"
+#include "paddle/operators/net_op.h"
+#include "paddle/operators/type_alias.h"
 
 namespace paddle {
 namespace framework {
@@ -70,7 +71,7 @@ class NoGradOpMaker : public OpProtoAndCheckerMaker {
   }
 };
 
-class FcOp : public NetOp {
+class FcOp : public ops::NetOp {
  public:
   void Init() override {
     AddOp(OpRegistry::CreateOp("mul", {Input("X"), Input("W")},
@@ -182,7 +183,8 @@ TEST(Backward, simple_op_not_need_grad) {
   auto no_input_gop = f::Backward(*fwd, {"X", "b"});
   ASSERT_NE(no_input_gop, nullptr);
   ASSERT_TRUE(no_input_gop->IsNetOp());
-  ASSERT_EQ(0UL, std::static_pointer_cast<f::NetOp>(no_input_gop)->ops_.size());
+  ASSERT_EQ(0UL,
+            std::static_pointer_cast<ops::NetOp>(no_input_gop)->ops_.size());
 }
 
 TEST(Backward, net_fc_backward_normal) {
@@ -191,7 +193,7 @@ TEST(Backward, net_fc_backward_normal) {
   ASSERT_NE(fwd, nullptr);
   std::shared_ptr<f::OperatorBase> gop = f::Backward(*fwd, {});
   ASSERT_TRUE(gop->IsNetOp());
-  auto net = static_cast<f::NetOp *>(gop.get());
+  auto net = static_cast<ops::NetOp *>(gop.get());
 
   ASSERT_NO_THROW(net->DebugString());
 
@@ -214,7 +216,7 @@ TEST(Backward, net_fc_backward_not_have_b) {
   ASSERT_NE(fwd, nullptr);
   std::shared_ptr<f::OperatorBase> gop = f::Backward(*fwd, {});
   ASSERT_TRUE(gop->IsNetOp());
-  auto net = static_cast<f::NetOp *>(gop.get());
+  auto net = static_cast<ops::NetOp *>(gop.get());
 
   ASSERT_NO_THROW(net->DebugString());
 
@@ -228,7 +230,7 @@ TEST(Backward, net_fc_backward_not_have_b) {
 }
 
 TEST(Backward, net_input_of_network_not_need_grad) {
-  f::NetOp net;
+  ops::NetOp net;
   net.AddOp(f::OpRegistry::CreateOp("fc", {"X", "W1", "b1"},
                                     {"mul_tmp_0", "add_tmp_0", "hidden0"}, {}));
   net.AddOp(f::OpRegistry::CreateOp("fc", {"hidden0", "W2", "b2"},
@@ -236,7 +238,7 @@ TEST(Backward, net_input_of_network_not_need_grad) {
   net.CompleteAddOp();
   auto bwd = Backward(net, {"X"});  // X@GRAD is not need.
   ASSERT_TRUE(bwd->IsNetOp());
-  auto bwd_net = static_cast<f::NetOp *>(bwd.get());
+  auto bwd_net = static_cast<ops::NetOp *>(bwd.get());
 
   std::unordered_set<std::string> all_output = std::unordered_set<std::string>(
       bwd_net->outputs_.begin(), bwd_net->outputs_.end());
@@ -253,7 +255,7 @@ TEST(Backward, net_input_of_network_not_need_grad) {
 
   ASSERT_EQ(2UL, bwd_net->ops_.size());
   ASSERT_TRUE(bwd_net->ops_[1]->IsNetOp());
-  auto first_fc_grad = static_cast<f::NetOp *>(bwd_net->ops_[1].get());
+  auto first_fc_grad = static_cast<ops::NetOp *>(bwd_net->ops_[1].get());
   ASSERT_EQ(3UL, first_fc_grad->ops_.size());
   ASSERT_EQ(
       f::OperatorBase::EMPTY_VAR_NAME(),
@@ -261,14 +263,14 @@ TEST(Backward, net_input_of_network_not_need_grad) {
 }
 
 TEST(Backward, net_shared_weight) {
-  f::NetOp net;
+  ops::NetOp net;
   net.AddOp(f::OpRegistry::CreateOp("mul", {"X", "W"}, {"Out"}, {}));
   net.AddOp(f::OpRegistry::CreateOp("mul", {"Out", "W"}, {"FinalOut"}, {}));
   net.CompleteAddOp();
 
   auto bwd = f::Backward(net, {});
   ASSERT_TRUE(bwd->IsNetOp());
-  auto bwd_net = static_cast<f::NetOp *>(bwd.get());
+  auto bwd_net = static_cast<ops::NetOp *>(bwd.get());
   ASSERT_EQ(3UL, bwd_net->ops_.size());
   ASSERT_EQ("add", bwd_net->ops_[2]->type_);
 }
@@ -285,7 +287,7 @@ TEST(Backward, op_all_input_are_not_need) {
   auto fwd = f::OpRegistry::CreateOp("rowwise_add", {"X", "b"}, {"Out"}, {});
   auto backward = f::Backward(*fwd, {"X", "b"});
   ASSERT_TRUE(backward->IsNetOp());
-  auto net = static_cast<f::NetOp *>(backward.get());
+  auto net = static_cast<ops::NetOp *>(backward.get());
   ASSERT_TRUE(net->ops_.empty());
 }
 
@@ -293,7 +295,7 @@ TEST(Backward, op_all_output_are_not_need) {
   auto fwd = f::OpRegistry::CreateOp("rowwise_add", {"X", "b"}, {"Out"}, {});
   auto backward = f::Backward(*fwd, {"Out"});
   ASSERT_TRUE(backward->IsNetOp());
-  auto net = static_cast<f::NetOp *>(backward.get());
+  auto net = static_cast<ops::NetOp *>(backward.get());
   ASSERT_TRUE(net->ops_.empty());
 }
 
@@ -301,7 +303,7 @@ TEST(Backward, op_part_of_output_are_not_need) {
   auto fwd = f::OpRegistry::CreateOp("many_output_op", {"X"}, {"Y", "Z"}, {});
   auto backward = f::Backward(*fwd, {"Z"});
   ASSERT_TRUE(backward->IsNetOp());
-  auto net = static_cast<f::NetOp *>(backward.get());
+  auto net = static_cast<ops::NetOp *>(backward.get());
   ASSERT_EQ(net->ops_.size(), 2UL);
 
   auto &fill_zero = *net->ops_[0];
@@ -341,7 +343,7 @@ TEST(Backward, op_part_of_input_are_not_need) {
 }
 
 TEST(Backward, linear_net_intermediate_variable_has_no_grad) {
-  f::NetOp net;
+  ops::NetOp net;
   net.AddOp(f::OpRegistry::CreateOp("fc", {"x1", "w1", "b1"},
                                     {"mul_out1", "add_out1", "out1"}, {}));
   net.AddOp(f::OpRegistry::CreateOp("fc", {"out1", "w2", "b2"},
@@ -351,7 +353,7 @@ TEST(Backward, linear_net_intermediate_variable_has_no_grad) {
   net.CompleteAddOp();
   auto backward = f::Backward(net, {"mul_out2", "tmp_out2", "out2"});
   ASSERT_TRUE(backward->IsNetOp());
-  auto bwd_net = static_cast<f::NetOp *>(backward.get());
+  auto bwd_net = static_cast<ops::NetOp *>(backward.get());
   ASSERT_EQ(bwd_net->ops_.size(), 3UL);
   auto &grad_fc = *bwd_net->ops_[0];
   EXPECT_EQ(grad_fc.inputs_.size(),

paddle/framework/pybind.cc

@@ -17,11 +17,12 @@ limitations under the License. */
 #include <vector>
 
 #include "paddle/framework/backward.h"
-#include "paddle/framework/net.h"
 #include "paddle/framework/op_registry.h"
 #include "paddle/framework/operator.h"
 #include "paddle/framework/scope.h"
 #include "paddle/framework/tensor_py.h"
+#include "paddle/operators/net_op.h"
+#include "paddle/operators/type_alias.h"
 #include "paddle/platform/enforce.h"
 #include "paddle/platform/place.h"
 #include "pybind11/numpy.h"
@@ -118,7 +119,9 @@ All parameter, weight, gradient are variables in Paddle.
            [](Variable &self) -> Tensor * { return self.GetMutable<Tensor>(); },
            py::return_value_policy::reference)
       .def("get_net",
-           [](Variable &self) -> NetOp * { return self.GetMutable<NetOp>(); },
+           [](Variable &self) -> ops::NetOp * {
+             return self.GetMutable<ops::NetOp>();
+           },
            py::return_value_policy::reference);
 
   py::class_<Scope>(m, "Scope", "")
@@ -196,22 +199,24 @@ All parameter, weight, gradient are variables in Paddle.
 
   ExposeOperator(operator_base);
 
-  py::class_<NetOp, std::shared_ptr<NetOp>> net(m, "Net");
+  py::class_<ops::NetOp, std::shared_ptr<ops::NetOp>> net(m, "Net");
 
   net.def_static("create",
-                 []() -> std::shared_ptr<NetOp> {
-                   auto retv = std::make_shared<NetOp>();
+                 []() -> std::shared_ptr<ops::NetOp> {
+                   auto retv = std::make_shared<ops::NetOp>();
                    retv->type_ = "plain_net";
                    return retv;
                  })
-      .def("add_op", &NetOp::AddOp)
-      .def("add_op",
-           [](NetOp &self, const std::shared_ptr<NetOp> &net) -> void {
-             self.AddOp(std::static_pointer_cast<OperatorBase>(net));
-           })
-      .def("complete_add_op", &NetOp::CompleteAddOp)
+      .def("add_op", &ops::NetOp::AddOp)
+      .def(
+          "add_op",
+          [](ops::NetOp &self, const std::shared_ptr<ops::NetOp> &net) -> void {
+            self.AddOp(std::static_pointer_cast<OperatorBase>(net));
+          })
+      .def("complete_add_op", &ops::NetOp::CompleteAddOp)
       .def("complete_add_op",
-           [](std::shared_ptr<NetOp> &self) { self->CompleteAddOp(); });
+           [](std::shared_ptr<ops::NetOp> &self) { self->CompleteAddOp(); });
+
   ExposeOperator(net);
 
   m.def("unique_integer", UniqueIntegerGenerator);

paddle/operators/CMakeLists.txt

@@ -41,6 +41,9 @@ function(op_library TARGET)
     endif()
 endfunction()
 
+cc_library(net_op SRCS net_op.cc DEPS op_registry)
+cc_test(net_op_test SRCS net_op_test.cc DEPS net_op)
+
 op_library(add_op SRCS add_op.cc add_op.cu)
 cc_test(add_op_test SRCS add_op_test.cc DEPS add_op)
 
@@ -59,6 +62,6 @@ op_library(sgd_op SRCS sgd_op.cc sgd_op.cu)
 
 op_library(fc_op
     SRCS fc_op.cc
-    DEPS mul_op rowwise_add_op sigmoid_op softmax_op net)
-op_library(recurrent_op SRCS recurrent_op.cc DEPS op_desc tensor op_registry operator net)
+    DEPS mul_op rowwise_add_op sigmoid_op softmax_op net_op)
+op_library(recurrent_op SRCS recurrent_op.cc DEPS op_desc tensor op_registry operator net_op)
 cc_test(recurrent_op_test SRCS recurrent_op_test.cc DEPS recurrent_op gtest mul_op add_op)

paddle/framework/net.cc → paddle/operators/net_op.cc

@@ -14,11 +14,11 @@
   limitations under the License.
 */
 
-#include "paddle/framework/net.h"
+#include "paddle/operators/net_op.h"
 #include "paddle/framework/op_registry.h"
 
 namespace paddle {
-namespace framework {
+namespace operators {
 
 void NetOp::CompleteAddOp(bool calc) {
   add_op_done_ = true;
@@ -74,5 +74,5 @@ std::string NetOp::DebugString() const {
 
 bool NetOp::IsNetOp() const { return true; }
 
-}  // namespace framework
+}  // namespace operators
 }  // namespace paddle

paddle/framework/net.h → paddle/operators/net_op.h

@@ -14,15 +14,17 @@ limitations under the License. */
 
 #pragma once
 
-#include <paddle/framework/op_desc.pb.h>
-#include <paddle/framework/operator.h>
+#include "paddle/framework/op_desc.pb.h"
 #include "paddle/framework/op_proto.pb.h"
 #include "paddle/framework/op_registry.h"
+#include "paddle/framework/operator.h"
 #include "paddle/framework/scope.h"
+#include "paddle/operators/type_alias.h"
 #include "paddle/platform/device_context.h"
 
 namespace paddle {
-namespace framework {
+namespace operators {
+
 /**
  * @brief Network is also a type of Operator
  *
@@ -37,13 +39,13 @@ namespace framework {
  * This is the base class of network, all the networks should implement the APIs
  * it defines.
  */
-class NetOp : public OperatorBase {
- public:
+class NetOp : public framework::OperatorBase {
+public:
   /**
    * Infer all the operators' input and output variables' shapes, will be called
    * before every mini-batch
    */
-  void InferShape(const Scope& scope) const override {
+  void InferShape(const framework::Scope& scope) const override {
     for (auto& op : ops_) {
       op->InferShape(scope);
     }
@@ -56,7 +58,7 @@ class NetOp : public OperatorBase {
    * scope will be used instead. If no OpContext is provicded, default context
    * will be used.
    */
-  void Run(const Scope& scope,
+  void Run(const framework::Scope& scope,
            const platform::DeviceContext& dev_ctx) const override {
     for (auto& op : ops_) {
       op->Run(scope, dev_ctx);
@@ -88,7 +90,7 @@ class NetOp : public OperatorBase {
 
   std::vector<std::shared_ptr<OperatorBase>> ops_;
 
- private:
+private:
   bool add_op_done_{false};
 
   template <typename T, typename KeyType>
@@ -97,5 +99,5 @@ class NetOp : public OperatorBase {
   }
 };
 
-}  // namespace framework
+}  // namespace operators
 }  // namespace paddle

paddle/framework/net_op_test.cc → paddle/operators/net_op_test.cc

+#include "paddle/operators/net_op.h"
+
 #include <gtest/gtest.h>
-#include <paddle/framework/net.h>
-#include <paddle/framework/op_registry.h>
-#include <paddle/framework/operator.h>
+
+#include "paddle/framework/op_registry.h"
+#include "paddle/framework/operator.h"
 
 namespace paddle {
-namespace framework {
+namespace operators {
 
 static int infer_shape_cnt = 0;
 static int run_cnt = 0;
 
 class TestOp : public OperatorBase {
- public:
+public:
   void InferShape(const framework::Scope& scope) const override {
     ++infer_shape_cnt;
   }
@@ -21,7 +23,7 @@ class TestOp : public OperatorBase {
 };
 
 class EmptyOp : public OperatorBase {
- public:
+public:
   void InferShape(const Scope& scope) const override {}
   void Run(const Scope& scope,
            const platform::DeviceContext& dev_ctx) const override {}
@@ -73,7 +75,7 @@ TEST(OpKernel, all) {
   ASSERT_THROW(net->AddOp(op2), paddle::platform::EnforceNotMet);
 }
 
-TEST(Net, insert_op) {
+TEST(NetOp, insert_op) {
   NetOp net;
   auto op1 = std::make_shared<EmptyOp>();
   op1->inputs_ = {"x", "w1", "b1"};
@@ -85,5 +87,5 @@ TEST(Net, insert_op) {
   ASSERT_EQ(3UL, net.ops_.size());
 }
 
-}  // namespace framework
+}  // namespace operators
 }  // namespace paddle

paddle/operators/recurrent_op.cc

@@ -18,8 +18,8 @@
 #include <cstring>
 #include <sstream>
 
-#include "paddle/framework/net.h"
 #include "paddle/framework/op_registry.h"
+#include "paddle/operators/net_op.h"
 #include "paddle/platform/enforce.h"
 
 namespace paddle {

paddle/operators/recurrent_op_test.cc

@@ -11,14 +11,15 @@
   limitations under the License.
 */
 
+#include "paddle/operators/recurrent_op.h"
+
 #include <glog/logging.h>
 #include <gtest/gtest.h>
 
-#include "paddle/framework/net.h"
 #include "paddle/framework/op_registry.h"
 #include "paddle/framework/operator.h"
 #include "paddle/framework/tensor.h"
-#include "paddle/operators/recurrent_op.h"
+#include "paddle/operators/net_op.h"
 
 namespace paddle {
 namespace operators {

paddle/operators/type_alias.h

@@ -15,8 +15,8 @@
 #pragma once
 
 #include "paddle/framework/eigen.h"
-#include "paddle/framework/net.h"
 #include "paddle/framework/op_registry.h"
+#include "paddle/operators/net_op.h"
 
 namespace paddle {
 namespace operators {
@@ -44,15 +44,16 @@ template <typename T,
           typename IndexType = Eigen::DenseIndex>
 using EigenTensor = framework::EigenTensor<T, D, MajorType, IndexType>;
 using Tensor = framework::Tensor;
+using Scope = framework::Scope;
 using OperatorWithKernel = framework::OperatorWithKernel;
+using OperatorBase = framework::OperatorBase;
 using OpProtoAndCheckerMaker = framework::OpProtoAndCheckerMaker;
 using OpProto = framework::OpProto;
 using OpAttrChecker = framework::OpAttrChecker;
 using CPUPlace = platform::CPUPlace;
 using GPUPlace = platform::GPUPlace;
-using NetOp = framework::NetOp;
 using OpRegistry = framework::OpRegistry;
-using OperatorBase = framework::OperatorBase;
+
 }  // namespace operators
 }  // namespace paddle