Merge pull request #2888 from gangliao/cpplint

FIX: cpplint code style

cmake/cpplint.cmake

@@ -27,7 +27,8 @@ set(IGNORE_PATTERN
     .*cblas\\.h.*
     .*\\.pb\\.txt
     .*LtrDataProvider.*
-    .*MultiDataProvider.*)
+    .*MultiDataProvider.*
+    .*pb.*)
 
 # add_style_check_target
 #
@@ -52,14 +53,13 @@ macro(add_style_check_target TARGET_NAME)
                 endif()
             endforeach()
             if(LINT MATCHES ON)
+                # cpplint code style
                 get_filename_component(base_filename ${filename} NAME)
                 set(CUR_GEN ${CMAKE_CURRENT_BINARY_DIR}/${base_filename}.cpplint)
-                add_custom_command(OUTPUT ${CUR_GEN}
-                    PRE_BUILD
-                    COMMAND env ${py_env} "${PYTHON_EXECUTABLE}" "${PROJ_ROOT}/paddle/scripts/cpplint.py"
-                                "--filter=${STYLE_FILTER}"
-                                "--write-success=${CUR_GEN}" ${filename}
-                    DEPENDS ${filename}
+                add_custom_command(TARGET ${TARGET_NAME} PRE_BUILD
+                    COMMAND "${PYTHON_EXECUTABLE}" "${PROJ_ROOT}/paddle/scripts/cpplint.py"
+                            "--filter=${STYLE_FILTER}"
+                            "--write-success=${CUR_GEN}" ${filename}
                     WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
             endif()
         endforeach()

cmake/generic.cmake

@@ -185,6 +185,10 @@ function(cc_library TARGET_NAME)
       add_dependencies(${TARGET_NAME} ${cc_library_DEPS})
       target_link_libraries(${TARGET_NAME} ${cc_library_DEPS})
     endif()
+    
+    # cpplint code style
+    add_style_check_target(${TARGET_NAME} ${cc_library_SRCS})
+
   else(cc_library_SRCS)
     if (cc_library_DEPS)
       merge_static_libs(${TARGET_NAME} ${cc_library_DEPS})

paddle/framework/ddim.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/ddim.h"
 
 namespace paddle {
 namespace framework {
 
-///@cond HIDDEN
+/// @cond HIDDEN
 
 template <int i>
 Dim<i> make_dim(const int* d) {
@@ -50,7 +64,7 @@ void make_ddim(DDim& ddim, const int* dims, int n) {
   }
 }
 
-///@endcond
+/// @endcond
 
 DDim make_ddim(std::initializer_list<int> dims) {
   DDim result(make_dim(0));
@@ -64,11 +78,11 @@ DDim make_ddim(const std::vector<int>& dims) {
   return result;
 }
 
-///@cond HIDDEN
+/// @cond HIDDEN
 // XXX For some reason, putting this in an anonymous namespace causes errors
 class DynamicMutableIndexer : public boost::static_visitor<int&> {
  public:
-  DynamicMutableIndexer(int idx) : idx_(idx) {}
+  explicit DynamicMutableIndexer(int idx) : idx_(idx) {}
 
   template <int D>
   int& operator()(Dim<D>& dim) const {
@@ -81,7 +95,7 @@ class DynamicMutableIndexer : public boost::static_visitor<int&> {
 
 class DynamicConstIndexer : public boost::static_visitor<int> {
  public:
-  DynamicConstIndexer(int idx) : idx_(idx) {}
+  explicit DynamicConstIndexer(int idx) : idx_(idx) {}
 
   template <int D>
   int operator()(const Dim<D>& dim) const {
@@ -92,7 +106,7 @@ class DynamicConstIndexer : public boost::static_visitor<int> {
   int idx_;
 };
 
-///@endcond
+/// @endcond
 
 int& DDim::operator[](int idx) {
   return boost::apply_visitor(DynamicMutableIndexer(idx), var);
@@ -155,11 +169,11 @@ int get(const DDim& ddim, int idx) { return ddim[idx]; }
 
 void set(DDim& ddim, int idx, int value) { ddim[idx] = value; }
 
-///@cond HIDDEN
+/// @cond HIDDEN
 struct VectorizeVisitor : public boost::static_visitor<> {
   std::vector<int>& vector;
 
-  VectorizeVisitor(std::vector<int>& v) : vector(v) {}
+  explicit VectorizeVisitor(std::vector<int>& v) : vector(v) {}
 
   template <typename T>
   void operator()(const T& t) {
@@ -169,7 +183,7 @@ struct VectorizeVisitor : public boost::static_visitor<> {
 
   void operator()(const Dim<1>& t) { vector.push_back(t.head); }
 };
-///@endcond
+/// @endcond
 
 std::vector<int> vectorize(const DDim& ddim) {
   std::vector<int> result;
@@ -187,7 +201,7 @@ ssize_t product(const DDim& ddim) {
   return result;
 }
 
-///\cond HIDDEN
+/// \cond HIDDEN
 
 struct ArityVisitor : boost::static_visitor<int> {
   template <int D>
@@ -196,15 +210,15 @@ struct ArityVisitor : boost::static_visitor<int> {
   }
 };
 
-///\endcond
+/// \endcond
 
 int arity(const DDim& d) { return boost::apply_visitor(ArityVisitor(), d); }
 
-///\cond HIDDEN
+/// \cond HIDDEN
 
 struct DDimPrinter : boost::static_visitor<void> {
   std::ostream& os;
-  DDimPrinter(std::ostream& os_) : os(os_) {}
+  explicit DDimPrinter(std::ostream& os_) : os(os_) {}
 
   template <typename T>
   void operator()(const T& t) {
@@ -212,7 +226,7 @@ struct DDimPrinter : boost::static_visitor<void> {
   }
 };
 
-///\endcond
+/// \endcond
 
 std::ostream& operator<<(std::ostream& os, const DDim& ddim) {
   DDimPrinter printer(os);

paddle/framework/ddim.h

@@ -27,7 +27,7 @@ struct DDim {
   DDim() : var(Dim<1>()) {}
 
   template <int D>
-  DDim(const Dim<D>& in) : var(in) {}
+  explicit DDim(const Dim<D>& in) : var(in) {}
 
   template <int D>
   DDim& operator=(const Dim<D>& in) {

paddle/framework/net.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"
 
 namespace paddle {

paddle/framework/op_registry.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/op_registry.h>
 
 namespace paddle {
@@ -33,4 +47,4 @@ void AttrTypeHelper::SetAttrType<std::vector<std::string>>(AttrProto* attr) {
   attr->set_type(paddle::framework::AttrType::STRINGS);
 }
 }  // namespace framework
-}  // namespace paddle
+}  // namespace paddle
\ No newline at end of file

paddle/framework/operator.cc

@@ -40,4 +40,4 @@ std::string OperatorBase::DebugString() const {
 }
 
 }  // namespace framework
-}  // namespace paddle
+}  // namespace paddle
\ No newline at end of file

paddle/function/GemmConvOp.cpp

@@ -117,8 +117,7 @@ public:
     ConvFunctionBase::init(config);
   }
 
-  virtual void check(const BufferArgs& inputs,
-                     const BufferArgs& outputs) override {
+  void check(const BufferArgs& inputs, const BufferArgs& outputs) override {
     const TensorShape& input = inputs[0].shape();
     const TensorShape& filter = inputs[1].shape();
     const TensorShape& output = outputs[0].shape();
@@ -217,8 +216,7 @@ public:
     ConvFunctionBase::init(config);
   }
 
-  virtual void check(const BufferArgs& inputs,
-                     const BufferArgs& outputs) override {
+  void check(const BufferArgs& inputs, const BufferArgs& outputs) override {
     const TensorShape& output = inputs[0].shape();
     const TensorShape& filter = inputs[1].shape();
     const TensorShape& input = outputs[0].shape();
@@ -311,8 +309,7 @@ public:
     ConvFunctionBase::init(config);
   }
 
-  virtual void check(const BufferArgs& inputs,
-                     const BufferArgs& outputs) override {
+  void check(const BufferArgs& inputs, const BufferArgs& outputs) override {
     const TensorShape& output = inputs[0].shape();
     const TensorShape& input = inputs[1].shape();
     const TensorShape& filter = outputs[0].shape();

paddle/function/NaiveConvOp.cpp

@@ -90,8 +90,7 @@ public:
     ConvFunctionBase::init(config);
   }
 
-  virtual void check(const BufferArgs& inputs,
-                     const BufferArgs& outputs) override {
+  void check(const BufferArgs& inputs, const BufferArgs& outputs) override {
     const TensorShape& input = inputs[0].shape();
     const TensorShape& filter = inputs[1].shape();
     const TensorShape& output = outputs[0].shape();

paddle/gserver/gradientmachines/NeuralNetwork.cpp

@@ -403,7 +403,7 @@ public:
       : layerName_(layerName) {
     addEvaluator(std::move(evaluator));
   }
-  virtual void eval(const NeuralNetwork& nn) override {
+  void eval(const NeuralNetwork& nn) override {
     const LayerPtr& layer = nn.getLayer(layerName_);
     CHECK(layer) << "Nonexisted layer: " << layerName_ << " in submodel "
                  << nn.getName();

paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp

@@ -636,7 +636,7 @@ void lenToStarts(std::vector<int>& starts) {
   }
   starts.back() = pos;
 }
-}
+}  // namespace
 
 void RecurrentGradientMachine::calcSequenceStartPositions() {
   std::vector<int> starts(commonSeqInfo_.size() + 1);

paddle/gserver/layers/AgentLayer.cpp

@@ -124,7 +124,7 @@ void copyElements(const IVector& srcVec,
     dest[index[i]] = src[i];
   }
 }
-}
+}  // namespace
 
 void GatherAgentLayer::forwardIds(PassType passType) {
   IVectorPtr realId = realLayers_[0]->getOutputLabel();

paddle/memory/detail/memory_block.cc

@@ -152,6 +152,6 @@ MemoryBlock* MemoryBlock::metadata() const {
       reinterpret_cast<const Metadata*>(this) - 1));
 }
 
-}  // detail
-}  // memory
-}  // paddle
+}  // namespace detail
+}  // namespace memory
+}  // namespace paddle

paddle/memory/memory.cc

@@ -17,8 +17,6 @@ limitations under the License. */
 #include "paddle/memory/detail/system_allocator.h"
 #include "paddle/platform/assert.h"
 
-#include <boost/variant.hpp>
-
 namespace paddle {
 namespace memory {
 

paddle/operators/add_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/op_registry.h>
 #include <paddle/framework/tensor.h>
 #include <paddle/operators/add_op.h>
@@ -36,9 +50,9 @@ The equation is: Out = X + Y
 )DOC");
   }
 };
-}  // namespace op
+}  // namespace operators
 }  // namespace paddle
 
 REGISTER_OP(add_two, paddle::operators::AddOp, paddle::operators::AddOpMaker);
 REGISTER_OP_CPU_KERNEL(
-    add_two, ::paddle::operators::AddKernel<::paddle::platform::CPUPlace>);
+    add_two, ::paddle::operators::AddKernel<::paddle::platform::CPUPlace>);
\ No newline at end of file

paddle/optimizer/parameter_optimizer_test.cpp

+/*
+  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 "parameter_optimizer.h"
 #include <cmath>
 #include <map>
@@ -5,21 +21,18 @@
 #include "gtest/gtest.h"
 #include "lr_policy.h"
 
-using namespace paddle;
-using namespace paddle::optimizer;
-
-Tensor* FillTensor(size_t size) {
-  Tensor* param = new Tensor(size);
-  Tensor& p = *param;
+paddle::optimizer::Tensor* FillTensor(size_t size) {
+  paddle::optimizer::Tensor* param = new paddle::optimizer::Tensor(size);
+  paddle::optimizer::Tensor& p = *param;
   for (size_t i = 0; i < p.size(); ++i) {
     p[i] = (float)rand() / (float)RAND_MAX;
   }
   return param;
 }
 
-Tensor* FixedTensor(size_t size) {
-  Tensor* param = new Tensor(size);
-  Tensor& p = *param;
+paddle::optimizer::Tensor* FixedTensor(size_t size) {
+  paddle::optimizer::Tensor* param = new paddle::optimizer::Tensor(size);
+  paddle::optimizer::Tensor& p = *param;
   for (size_t i = 0; i < p.size(); ++i) {
     p[i] = i;
   }
@@ -28,7 +41,8 @@ Tensor* FixedTensor(size_t size) {
 
 class OptimizerTest : public testing::Test {
 public:
-  // init tensor shape
+  virtual ~OptimizerTest() {}
+  // init paddle::optimizer::Tensor shape
   const size_t kSize = 5;
 
   virtual void SetUp() {
@@ -38,34 +52,36 @@ public:
   virtual void TearDown() {}
 
   void CreateSGD() {
-    Tensor* parameter = FixedTensor(kSize);
-    config_.set_optimizer(OptimizerConfig::SGD);
+    paddle::optimizer::Tensor* parameter = FixedTensor(kSize);
+    config_.set_optimizer(paddle::OptimizerConfig::SGD);
     config_.mutable_sgd()->set_momentum(0.0);
     config_.mutable_sgd()->set_decay(0.0);
     config_.mutable_sgd()->set_nesterov(false);
-    config_.set_lr_policy(OptimizerConfig::Const);
+    config_.set_lr_policy(paddle::OptimizerConfig::Const);
     config_.mutable_const_lr()->set_learning_rate(0.1);
     std::string str = config_.SerializeAsString();
-    ParameterOptimizer* opt = ParameterOptimizer::Create(str, parameter);
+    paddle::optimizer::ParameterOptimizer* opt =
+        paddle::optimizer::ParameterOptimizer::Create(str, parameter);
     opts_.push_back(opt);
   }
 
   void CreateAdam() {
-    Tensor* parameter = FixedTensor(kSize);
-    config_.set_optimizer(OptimizerConfig::Adam);
+    paddle::optimizer::Tensor* parameter = FixedTensor(kSize);
+    config_.set_optimizer(paddle::OptimizerConfig::Adam);
     config_.mutable_adam()->set_beta_1(0.9);
     config_.mutable_adam()->set_beta_2(0.1);
     config_.mutable_adam()->set_epsilon(1e-3);
     config_.mutable_adam()->set_decay(0.0);
-    config_.set_lr_policy(OptimizerConfig::Const);
+    config_.set_lr_policy(paddle::OptimizerConfig::Const);
     config_.mutable_const_lr()->set_learning_rate(0.1);
     std::string str = config_.SerializeAsString();
-    ParameterOptimizer* opt = ParameterOptimizer::Create(str, parameter);
+    paddle::optimizer::ParameterOptimizer* opt =
+        paddle::optimizer::ParameterOptimizer::Create(str, parameter);
     opts_.push_back(opt);
   }
 
   void TestGetWeight() {
-    Tensor* p = FixedTensor(kSize);
+    paddle::optimizer::Tensor* p = FixedTensor(kSize);
     for (size_t i = 0; i < opts_.size(); ++i) {
       int s = 0;
       float* newp = (float*)opts_[i]->get_weight(&s);
@@ -76,7 +92,7 @@ public:
   }
 
   void TestUpdate() {
-    Tensor* g = FixedTensor(kSize);
+    paddle::optimizer::Tensor* g = FixedTensor(kSize);
     for (size_t i = 0; i < opts_.size(); ++i) {
       opts_[i]->Update(g);
     }
@@ -91,8 +107,8 @@ public:
   }
 
 private:
-  std::vector<ParameterOptimizer*> opts_;
-  OptimizerConfig config_;
+  std::vector<paddle::optimizer::ParameterOptimizer*> opts_;
+  paddle::OptimizerConfig config_;
 };
 
 TEST_F(OptimizerTest, TestGetWeight) { TestGetWeight(); }

paddle/optimizer/serialization_test.cpp

+/*
+  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 "serialization.h"
 #include "gtest/gtest.h"
 
-using namespace paddle;
-using namespace paddle::optimizer;
-
 TEST(TensorToProto, Case1) {
-  Tensor t(3), t1(3);
+  paddle::optimizer::Tensor t(3), t1(3);
   for (size_t i = 0; i < t.size(); ++i) {
     t[i] = i;
     t1[i] = 0;
   }
 
-  TensorProto proto;
-  TensorToProto(t, &proto);
-  ProtoToTensor(proto, &t1);
+  paddle::TensorProto proto;
+  paddle::optimizer::TensorToProto(t, &proto);
+  paddle::optimizer::ProtoToTensor(proto, &t1);
   for (size_t i = 0; i < t1.size(); ++i) {
     EXPECT_EQ(t1[i], t[i]);
   }

paddle/platform/cpu_info.cc

@@ -41,8 +41,8 @@ inline size_t CpuTotalPhysicalMemory() {
   if (sysctl(mib, 2, &size, &len, NULL, 0) == 0) return (size_t)size;
   return 0L;
 #else
-  long pages = sysconf(_SC_PHYS_PAGES);
-  long page_size = sysconf(_SC_PAGE_SIZE);
+  int64_t pages = sysconf(_SC_PHYS_PAGES);
+  int64_t page_size = sysconf(_SC_PAGE_SIZE);
   return pages * page_size;
 #endif
 }

paddle/platform/place.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/platform/place.h"
 
 namespace paddle {
@@ -7,7 +21,7 @@ namespace detail {
 
 class PlacePrinter : public boost::static_visitor<> {
  public:
-  PlacePrinter(std::ostream &os) : os_(os) {}
+  explicit PlacePrinter(std::ostream &os) : os_(os) {}
   void operator()(const CPUPlace &) { os_ << "CPUPlace"; }
   void operator()(const GPUPlace &p) { os_ << "GPUPlace(" << p.device << ")"; }
 

paddle/utils/DynamicLoader.h

@@ -12,8 +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. */
 
-#ifndef DYNAMIC_LOAD_H_
-#define DYNAMIC_LOAD_H_
+#pragma once
 
 #include <dlfcn.h>
 #include <memory>
@@ -59,5 +58,3 @@ void GetWarpCTCDsoHandle(void** dso_handle);
  *
  */
 void GetLapackDsoHandle(void** dso_handle);
-
-#endif  // DYNAMIC_LOAD_H_

paddle/utils/ThreadLocal.h

@@ -51,7 +51,7 @@ template <class T>
 class ThreadLocal {
 public:
   ThreadLocal() {
-    CHECK(pthread_key_create(&threadSpecificKey_, dataDestructor) == 0);
+    CHECK_EQ(pthread_key_create(&threadSpecificKey_, dataDestructor), 0);
   }
   ~ThreadLocal() { pthread_key_delete(threadSpecificKey_); }
 
@@ -65,7 +65,7 @@ public:
     if (!p && createLocal) {
       p = new T();
       int ret = pthread_setspecific(threadSpecificKey_, p);
-      CHECK(ret == 0);
+      CHECK_EQ(ret, 0);
     }
     return p;
   }
@@ -79,7 +79,7 @@ public:
     if (T* q = get(false)) {
       dataDestructor(q);
     }
-    CHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
+    CHECK_EQ(pthread_setspecific(threadSpecificKey_, p), 0);
   }
 
   /**
@@ -112,7 +112,7 @@ private:
 template <class T>
 class ThreadLocalD {
 public:
-  ThreadLocalD() { CHECK(pthread_key_create(&threadSpecificKey_, NULL) == 0); }
+  ThreadLocalD() { CHECK_EQ(pthread_key_create(&threadSpecificKey_, NULL), 0); }
   ~ThreadLocalD() {
     pthread_key_delete(threadSpecificKey_);
     for (auto t : threadMap_) {
@@ -127,7 +127,7 @@ public:
     T* p = (T*)pthread_getspecific(threadSpecificKey_);
     if (!p) {
       p = new T();
-      CHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
+      CHECK_EQ(pthread_setspecific(threadSpecificKey_, p), 0);
       updateMap(p);
     }
     return p;
@@ -141,7 +141,7 @@ public:
     if (T* q = (T*)pthread_getspecific(threadSpecificKey_)) {
       dataDestructor(q);
     }
-    CHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
+    CHECK_EQ(pthread_setspecific(threadSpecificKey_, p), 0);
     updateMap(p);
   }