move unused file

paddle/framework/fully_connected_op.cc

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-   http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   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/framework/fully_connected_op.h"
-#include <iostream>
-namespace paddle {
-namespace framework {
-
-void FCOp::Run(const ScopePtr& scope,
-               const platform::DeviceContext& dev_ctx) const override {
-  std::cout << "FC" << std::endl;
-}
-
-void FCOp::InferShape(const ScopePtr& scope) const override {}
-
-void FCGradientOp::Run(const ScopePtr& scope,
-                       const platform::DeviceContext& dev_ctx) const override {
-  std::cout << "FCGrad" << std::endl;
-}
-
-void FCGradientOp::InferShape(const ScopePtr& scope) const override {}
-
-REGISTER_OP(my_fc, paddle::framework::FCOp,
-            paddle::framework::FCOpProtoAndCheckerMaker);
-REGISTER_OP(my_fc_grad, paddle::framework::FCGradientOp,
-            paddle::framework::FCGradientOpProtoAndCheckerMaker);
-}  // namespace framework
-}  // namespace paddle

paddle/framework/fully_connected_op.h

@@ -47,6 +47,8 @@ class FCGradientOp : public OperatorBase {
 };
 
 // class FCGradientOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {};
+REGISTER_OP(my_fc, FCOp, FCOpProtoAndCheckerMaker);
+REGISTER_GRADIENT_OP(my_fc_grad, FCGradientOp);
 
 }  // namespace framework
 }  // namespace paddle

paddle/framework/net_op_test.cc

@@ -2,6 +2,7 @@
 #include <paddle/framework/net.h>
 #include <paddle/framework/op_registry.h>
 #include <paddle/framework/operator.h>
+#include "paddle/framework/fully_connected_op.h"
 
 namespace paddle {
 namespace framework {
@@ -31,68 +32,51 @@ void AssertSameVectorWithoutOrder(const std::vector<T>& expected,
   }
 }
 
-class PlainNetTest : public testing::Test {
- public:
-  virtual void SetUp() {
-    net_ = std::make_shared<PlainNet>();
-    ASSERT_NE(net_, nullptr);
+TEST(OpKernel, all) {
+  auto net = std::make_shared<PlainNet>();
+  ASSERT_NE(net, nullptr);
 
   auto op1 = std::make_shared<TestOp>();
   op1->inputs_ = {"x", "w1", "b1"};
   op1->outputs_ = {"y"};
-    net_->AddOp(op1);
+  net->AddOp(op1);
 
   auto op2 = std::make_shared<TestOp>();
   op2->inputs_ = {"y", "w2", "b2"};
   op2->outputs_ = {"z"};
-    net_->AddOp(op2);
-    net_->CompleteAddOp();
-  }
-
-  virtual void TearDown() {}
-
-  virtual void TestBody() {}
+  net->AddOp(op2);
 
-  void TestOpKernel() {
-    AssertSameVectorWithoutOrder({"x", "w1", "b1", "w2", "b2"}, net_->inputs_);
-    AssertSameVectorWithoutOrder({"y", "z"}, net_->outputs_);
-    auto tmp_idx_iter = net_->attrs_.find("temporary_index");
-    ASSERT_NE(net_->attrs_.end(), tmp_idx_iter);
+  net->CompleteAddOp();
+  AssertSameVectorWithoutOrder({"x", "w1", "b1", "w2", "b2"}, net->inputs_);
+  AssertSameVectorWithoutOrder({"y", "z"}, net->outputs_);
+  auto tmp_idx_iter = net->attrs_.find("temporary_index");
+  ASSERT_NE(net->attrs_.end(), tmp_idx_iter);
   auto& tmp_idx = boost::get<std::vector<int>>(tmp_idx_iter->second);
   ASSERT_EQ(1UL, tmp_idx.size());
-    ASSERT_EQ("y", net_->outputs_[tmp_idx[0]]);
+  ASSERT_EQ("y", net->outputs_[tmp_idx[0]]);
 
   auto scope = std::make_shared<Scope>();
   platform::CPUDeviceContext dev_ctx;
 
-    net_->InferShape(scope);
-    net_->Run(scope, dev_ctx);
+  net->InferShape(scope);
+  net->Run(scope, dev_ctx);
   ASSERT_EQ(2, infer_shape_cnt);
   ASSERT_EQ(2, run_cnt);
 
-    auto op2 = std::make_shared<TestOp>();
-    ASSERT_THROW(net_->AddOp(op2), EnforceNotMet);
-  }
+  ASSERT_THROW(net->AddOp(op2), EnforceNotMet);
+}
 
-  void TestAddBackwardOp() {
-    auto grad_ops = AddBackwardOp(net_);
+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);
+  auto grad_ops = AddBackwardOp(net);
   for (auto& op : grad_ops->ops_) {
     op->DebugString();
   }
-  }
-
- private:
-  std::shared_ptr<PlainNet> net_;
-};
-
-TEST(OpKernel, all) {
-  PlainNetTest net;
-  net.TestOpKernel();
-}
-
-TEST(AddBackwardOp, TestAddBackwardOp) {
-  PlainNetTest net;
-  net.TestAddBackwardOp();
 }
 
 }  // namespace framework

paddle/framework/net_test.cc

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-   http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   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/framework/net.h"
-#include "paddle/framework/fully_connected_op.h"
-#include "paddle/framework/op_registry.h"
-
-#include <gtest/gtest.h>
-
-namespace paddle {
-namespace framework {
-
-TEST(AddBackwardOp, ALL)
-
-}  // namespace framework
-}  // namespace paddle