diff --git a/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc b/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc
index 64d585c222b0ca013044be6440b882de08544b43..c436dd414d01ab61d143427fe7ecd34a82f11f8d 100644
--- a/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc
@@ -213,10 +213,10 @@ void PrepareLSTMWeight(const LoDTensor& W_forget_w0,
   float* out_data = out->mutable_data<float>(platform::CPUPlace());
   std::array<const float*, 4> tensors{
       W_forget_w0.data<float>(), W_input_w0.data<float>(),
-        W_output_w0.data<float>(), W_cell_w0.data<float>()};
+      W_output_w0.data<float>(), W_cell_w0.data<float>()};
   std::array<const float*, 4> tensors1{
       W_forget_w1.data<float>(), W_input_w1.data<float>(),
-        W_output_w1.data<float>(), W_cell_w1.data<float>()};
+      W_output_w1.data<float>(), W_cell_w1.data<float>()};
 
   for (int row = 0; row < D; row++) {
     for (int col = 0; col < 4; col++) {
@@ -240,7 +240,7 @@ void PrepareLSTMBias(const LoDTensor& B_forget, const LoDTensor& B_input,
                      LoDTensor* out) {
   std::array<const float*, 4> tensors{
       B_forget.data<float>(), B_input.data<float>(), B_output.data<float>(),
-        B_cell.data<float>()};
+      B_cell.data<float>()};
 
   PADDLE_ENFORCE_EQ(B_forget.dims().size(), 1);
   int D = B_forget.dims()[0];
diff --git a/paddle/fluid/framework/ir/node.cc b/paddle/fluid/framework/ir/node.cc
index f34ce62b1e79b82285d130d4320d5c11113fac1a..50d9113088903aa7681d6c6af5cc65f846d32787 100644
--- a/paddle/fluid/framework/ir/node.cc
+++ b/paddle/fluid/framework/ir/node.cc
@@ -19,9 +19,9 @@ namespace framework {
 namespace ir {
 // msvc15 don't support constexpr in correct way.
 #if !defined(_WIN32)
-        constexpr char Node::kControlDepVarName[];
+constexpr char Node::kControlDepVarName[];
 #else
-        const char Node::kControlDepVarName[] = "__control_var";
+const char Node::kControlDepVarName[] = "__control_var";
 #endif
 
 std::unique_ptr<Node> CreateNodeForTest(const std::string& name,
diff --git a/paddle/fluid/framework/ir/node.h b/paddle/fluid/framework/ir/node.h
index 21dd43bc1db95110548017eccb40facc6c025c16..d2a393b3f19e9aab79098757dae663d030b0fa2b 100644
--- a/paddle/fluid/framework/ir/node.h
+++ b/paddle/fluid/framework/ir/node.h
@@ -56,9 +56,9 @@ class Node {
 
   enum class Type { kOperation, kVariable };
 #if !defined(_WIN32)  // msvc not support constexpr correctly.
-        static constexpr char kControlDepVarName[] = "__control_var";
+  static constexpr char kControlDepVarName[] = "__control_var";
 #else
-        static const char kControlDepVarName[];
+  static const char kControlDepVarName[];
 #endif
 
   Type NodeType() const { return type_; }
diff --git a/paddle/fluid/framework/ir/pass.h b/paddle/fluid/framework/ir/pass.h
index e8dd48a535126e7f6b880239efd8f15ecd0dea12..615b539695de8c3f9a256d17d4d49e61902da394 100644
--- a/paddle/fluid/framework/ir/pass.h
+++ b/paddle/fluid/framework/ir/pass.h
@@ -197,26 +197,26 @@ struct PassRegistrar : public Registrar {
                 msg)
 
 // Register a new pass that can be applied on the IR.
-#define REGISTER_PASS(pass_type, pass_class)                          \
-  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                                \
-      __reg_pass__##pass_type,                                        \
-      "REGISTER_PASS must be called in global namespace");            \
-  static ::paddle::framework::ir::PassRegistrar<pass_class>           \
-      __pass_registrar_##pass_type##__(#pass_type);                   \
-  int TouchPassRegistrar_##pass_type() {                              \
-    __pass_registrar_##pass_type##__.Touch();                         \
-    return 0;                                                         \
-  }                                                                   \
-  static ::paddle::framework::ir::PassRegistrar<pass_class>           \
-      &__pass_tmp_registrar_##pass_type##__ UNUSED = \
+#define REGISTER_PASS(pass_type, pass_class)                \
+  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                      \
+      __reg_pass__##pass_type,                              \
+      "REGISTER_PASS must be called in global namespace");  \
+  static ::paddle::framework::ir::PassRegistrar<pass_class> \
+      __pass_registrar_##pass_type##__(#pass_type);         \
+  int TouchPassRegistrar_##pass_type() {                    \
+    __pass_registrar_##pass_type##__.Touch();               \
+    return 0;                                               \
+  }                                                         \
+  static ::paddle::framework::ir::PassRegistrar<pass_class> \
+      &__pass_tmp_registrar_##pass_type##__ UNUSED =        \
           __pass_registrar_##pass_type##__
 
-#define USE_PASS(pass_type)                                           \
-  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                                \
-      __use_pass_itself_##pass_type,                                  \
-      "USE_PASS must be called in global namespace");                 \
-  extern int TouchPassRegistrar_##pass_type();                        \
-  static int use_pass_itself_##pass_type##_ UNUSED = \
+#define USE_PASS(pass_type)                           \
+  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                \
+      __use_pass_itself_##pass_type,                  \
+      "USE_PASS must be called in global namespace"); \
+  extern int TouchPassRegistrar_##pass_type();        \
+  static int use_pass_itself_##pass_type##_ UNUSED =  \
       TouchPassRegistrar_##pass_type()
 
 }  // namespace ir
diff --git a/paddle/fluid/framework/operator.cc b/paddle/fluid/framework/operator.cc
index 36fe5724ea04d271fb7921d9f72f1ad6ab95e081..6bd744edc22e6a90ce64e9d699e7f3c5c60d4908 100644
--- a/paddle/fluid/framework/operator.cc
+++ b/paddle/fluid/framework/operator.cc
@@ -150,9 +150,9 @@ void OperatorBase::Run(const Scope& scope, const platform::Place& place) {
 #endif
   }
 
-  // The profile has a process-wide mutex, results in serious performance issue
-  // in concurrency scenerio. Here use an `if` to fix this issue.
-  // Please not remove the `if`, ask @Superjomn if there are any concern.
+// The profile has a process-wide mutex, results in serious performance issue
+// in concurrency scenerio. Here use an `if` to fix this issue.
+// Please not remove the `if`, ask @Superjomn if there are any concern.
 #ifndef _WIN32
   if (platform::IsProfileEnabled()) {
     platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
diff --git a/paddle/fluid/inference/api/helper.h b/paddle/fluid/inference/api/helper.h
index ba72fba8be8dcd1b122f21630123d3e7dee92faf..6f9d663121004470d57c17b8154d725fdf2b9689 100644
--- a/paddle/fluid/inference/api/helper.h
+++ b/paddle/fluid/inference/api/helper.h
@@ -20,9 +20,9 @@
 #else
 #endif
 
-#include <iterator>
 #include <algorithm>
 #include <chrono>  // NOLINT
+#include <iterator>
 #include <numeric>
 #include <sstream>
 #include <string>
diff --git a/paddle/fluid/operators/elementwise_op_function.h b/paddle/fluid/operators/elementwise_op_function.h
index d7444bcfe0b876b17a52a38628cbc526af50cb31..7bb6934e1496cc989eee8ba82f56959522803bfb 100644
--- a/paddle/fluid/operators/elementwise_op_function.h
+++ b/paddle/fluid/operators/elementwise_op_function.h
@@ -112,7 +112,7 @@ class RowwiseTransformIterator<T, platform::CPUDeviceContext>
   }
 
   RowwiseTransformIterator<T, platform::CPUDeviceContext> &operator+(int n) {
-    while(n-- > 0) {
+    while (n-- > 0) {
       ++i_;
       if (UNLIKELY(i_ == n_)) {
         i_ = 0;
@@ -161,7 +161,7 @@ class MidWiseTransformIterator<T, platform::CPUDeviceContext>
   }
 
   MidWiseTransformIterator<T, platform::CPUDeviceContext> &operator+(int n) {
-    while(n-- > 0) {
+    while (n-- > 0) {
       ++j_;
       if (UNLIKELY(j_ == post_)) {
         ++i_;
diff --git a/paddle/fluid/operators/grid_sampler_op.h b/paddle/fluid/operators/grid_sampler_op.h
index 00fba457bbacde0ec9d02d2a5688e3976088c829..08a6043eb07a6e44d46428ee195f6cb28c2ee77c 100644
--- a/paddle/fluid/operators/grid_sampler_op.h
+++ b/paddle/fluid/operators/grid_sampler_op.h
@@ -67,10 +67,10 @@ static void CalcGridLocations(const platform::CPUDeviceContext& ctx,
   Tensor half_ymax;
   half_xmax.mutable_data<T>({n, h, w}, ctx.GetPlace());
   auto half_xmax_t =
-          EigenTensor<T, 3>::From(half_xmax).setConstant(0.5 * x_max);
+      EigenTensor<T, 3>::From(half_xmax).setConstant(0.5 * x_max);
   half_ymax.mutable_data<T>({n, h, w}, ctx.GetPlace());
   auto half_ymax_t =
-          EigenTensor<T, 3>::From(half_ymax).setConstant(0.5 * y_max);
+      EigenTensor<T, 3>::From(half_ymax).setConstant(0.5 * y_max);
 
   // scale grid to [0, h-1/w-1]
   auto grid_x_t = EigenTensor<T, 3>::From(grid_x);
diff --git a/paddle/fluid/platform/init.cc b/paddle/fluid/platform/init.cc
index 6156067645522d31a93856fdb2b046a1ca45a480..84d1b852cbe5a334ddfc27d404e879b178e341fe 100644
--- a/paddle/fluid/platform/init.cc
+++ b/paddle/fluid/platform/init.cc
@@ -115,9 +115,9 @@ void InitDevices(bool init_p2p, const std::vector<int> devices) {
 
 // windows has no support for openblas multi-thread
 #ifdef _WIN32
-    if (FLAGS_paddle_num_threads > 1) {
-        FLAGS_paddle_num_threads = 1;
-    }
+  if (FLAGS_paddle_num_threads > 1) {
+    FLAGS_paddle_num_threads = 1;
+  }
 #endif
 
 #ifndef PADDLE_WITH_MKLDNN
diff --git a/paddle/fluid/platform/port.h b/paddle/fluid/platform/port.h
index d3a6e2854926f175e17b6f367d3ccbb4e7bfb04f..8823e97b0b696556b32724acd096e8fc79a49f53 100644
--- a/paddle/fluid/platform/port.h
+++ b/paddle/fluid/platform/port.h
@@ -24,38 +24,38 @@
 #include "glog/logging.h"
 
 #if !defined(_WIN32)
-  #include <dlfcn.h>     //  dladdr
-  #include <execinfo.h>  // backtrace
-  #include <sys/stat.h>
-  #include <algorithm>  // std::accumulate
+#include <dlfcn.h>     //  dladdr
+#include <execinfo.h>  // backtrace
+#include <sys/stat.h>
+#include <algorithm>  // std::accumulate
 #else
-  #include <stdio.h>
-  #include <io.h>  // _popen, _pclose
-  #include <windows.h>
-  #include <numeric>  // std::accumulate in msvc
-  #ifndef S_ISDIR  // windows port for sys/stat.h
-  #define S_ISDIR(mode) (((mode)&S_IFMT) == S_IFDIR)
-  #endif  // S_ISDIR
-
-  static void *dlsym(void *handle, const char *symbol_name) {
-    FARPROC found_symbol;
-    found_symbol = GetProcAddress((HMODULE)handle, symbol_name);
-
-    if (found_symbol == NULL) {
-      throw std::runtime_error(std::string(symbol_name) + " not found.");
-    }
-    return reinterpret_cast<void *>(found_symbol);
+#include <io.h>  // _popen, _pclose
+#include <stdio.h>
+#include <windows.h>
+#include <numeric>  // std::accumulate in msvc
+#ifndef S_ISDIR     // windows port for sys/stat.h
+#define S_ISDIR(mode) (((mode)&S_IFMT) == S_IFDIR)
+#endif  // S_ISDIR
+
+static void *dlsym(void *handle, const char *symbol_name) {
+  FARPROC found_symbol;
+  found_symbol = GetProcAddress((HMODULE)handle, symbol_name);
+
+  if (found_symbol == NULL) {
+    throw std::runtime_error(std::string(symbol_name) + " not found.");
   }
+  return reinterpret_cast<void *>(found_symbol);
+}
 
-  static void *dlopen(const char *filename, int flag) {
-    std::string file_name(filename);
-    file_name.replace(0, file_name.size() - 1, '/', '\\');
-    HMODULE hModule = LoadLibrary(file_name.c_str());
-    if (!hModule) {
-      throw std::runtime_error(file_name + " not found.");
-    }
-    return reinterpret_cast<void *>(hModule);
+static void *dlopen(const char *filename, int flag) {
+  std::string file_name(filename);
+  file_name.replace(0, file_name.size() - 1, '/', '\\');
+  HMODULE hModule = LoadLibrary(file_name.c_str());
+  if (!hModule) {
+    throw std::runtime_error(file_name + " not found.");
   }
+  return reinterpret_cast<void *>(hModule);
+}
 
 #endif  // !_WIN32
 
diff --git a/paddle/fluid/platform/variant.h b/paddle/fluid/platform/variant.h
index 1b10db8669f3c47169ee267090b54640b8b3b7dc..42bff087d2bda90889a106bc5f4fb32bccaa8a9b 100644
--- a/paddle/fluid/platform/variant.h
+++ b/paddle/fluid/platform/variant.h
@@ -46,7 +46,7 @@ limitations under the License. */
 // some platform-independent defintion
 #if defined(_WIN32)
 #define UNUSED
-#define __builtin_expect(EXP, C)  (EXP)
+#define __builtin_expect(EXP, C) (EXP)
 #else
 #define UNUSED __attribute__((unused))
 #endif
diff --git a/paddle/fluid/pybind/pybind.cc b/paddle/fluid/pybind/pybind.cc
index 6cba3395bf725532aa9b2946fe243e354176999f..592c40cf1ce07e28f3fe4a1ca0b11d249600e5f1 100644
--- a/paddle/fluid/pybind/pybind.cc
+++ b/paddle/fluid/pybind/pybind.cc
@@ -352,7 +352,7 @@ All parameter, weight, gradient are variables in Paddle.
            [](Variable &self) { return self.GetMutable<LoDTensorArray>(); },
            py::return_value_policy::reference)
 #if (defined(PADDLE_WITH_CUDA) && !defined(_WIN32))
-	  .def("get_communicator",
+      .def("get_communicator",
            [](Variable &self) -> platform::Communicator * {
              return self.GetMutable<platform::Communicator>();
            },
@@ -364,7 +364,7 @@ All parameter, weight, gradient are variables in Paddle.
            },
            py::return_value_policy::reference)
 #endif
-;
+      ;
 
 #if !defined(_WIN32)
   py::class_<framework::ReaderHolder>(m, "Reader", "")