format files

src/io/executor.cpp

@@ -355,7 +355,8 @@ std::shared_ptr<framework::Tensor> Executor<Dtype, P>::Predict(
     const auto &pInfo = profile[i];
     uint64_t timeCost = pInfo.runEnd - pInfo.runBegin;
     _tp[ops[i]->Type()] += timeCost;
-  //    fprintf(pf, "%d\t%s\t%d\t%llu\t%llu\t%llu\n", i, ops[i]->Type().c_str(),
+    //    fprintf(pf, "%d\t%s\t%d\t%llu\t%llu\t%llu\n", i,
+    //    ops[i]->Type().c_str(),
     //            pInfo.tid, pInfo.runBegin, pInfo.runEnd, timeCost);
   }
   //  fclose(pf);

src/io/paddle_mobile.cpp

@@ -75,7 +75,7 @@ void PaddleMobile<Dtype, P>::Clear() {
 }
 
 template <typename Dtype, Precision P>
-PaddleMobile<Dtype, P>::~PaddleMobile(){
+PaddleMobile<Dtype, P>::~PaddleMobile() {
   executor_ = nullptr;
   loader_ = nullptr;
 }

src/io/paddle_mobile.h

@@ -61,6 +61,7 @@ class PaddleMobile {
   void Clear();
 
   ~PaddleMobile();
+
  private:
   std::shared_ptr<Loader<Dtype, P>> loader_;
   std::shared_ptr<Executor<Dtype, P>> executor_;

src/operators/fetch_op.cpp

@@ -29,5 +29,3 @@ REGISTER_OPERATOR_MALI_GPU(fetch, ops::FetchOp);
 #endif
 #ifdef PADDLE_MOBILE_FPGA
 #endif
-
-

src/operators/fetch_op.h

@@ -44,7 +44,6 @@ class FetchOp : public framework::OperatorBase<DeviceType> {
   FetchParam param_;
 };
 
-
 }  // namespace operators
 }  // namespace paddle_mobile
 

src/operators/fusion_conv_add.cpp

@@ -48,8 +48,7 @@ void FusionConvAddOp<Dtype, T>::InferShape() const {
 #ifdef PADDLE_MOBILE_CPU
 
 #ifndef CONV_ADD_REGISTER
-framework::FusionOpRegistrar convadd_registrar(
-        new FusionConvAddMatcher());
+framework::FusionOpRegistrar convadd_registrar(new FusionConvAddMatcher());
 #define CONV_ADD_REGISTER
 #endif
 

src/operators/im2sequence_op.h

@@ -59,4 +59,3 @@ USE_OP_CPU(im2sequence);
 #endif
 
 #endif
-

src/operators/kernel/central-arm-func/batchnorm_arm_func.h

@@ -237,8 +237,7 @@ void BatchnormCompute(const BatchNormParam &param) {
   }
 
   Tensor new_scale;
-    auto new_scale_ptr =
-        new_scale.mutable_data<float>(framework::make_ddim({C}));
+  auto new_scale_ptr = new_scale.mutable_data<float>(framework::make_ddim({C}));
   Tensor new_bias;
   auto new_bias_ptr = new_bias.mutable_data<float>(framework::make_ddim({C}));
 
@@ -246,8 +245,7 @@ void BatchnormCompute(const BatchNormParam &param) {
   /// (x * inv_var * scale) + (bias - est_mean * inv_var * scale)
   for (int i = 0; i < C; i++) {
     new_scale_ptr[i] = inv_std_ptr[i] * scale_ptr[i];
-      new_bias_ptr[i] =
-          bias_ptr[i] - mean_ptr[i] * inv_std_ptr[i] * scale_ptr[i];
+    new_bias_ptr[i] = bias_ptr[i] - mean_ptr[i] * inv_std_ptr[i] * scale_ptr[i];
     {
       for (int n = 0; n < N; n++) {
         for (int h = 0; h < H; h++) {

src/operators/math/gemm.cpp

@@ -136,7 +136,6 @@ void PackMatrixB_(int k, int n, int n_tail, const float *B, int ldb,
       *buffer++ = *(Bij + 3);
     }
 #endif
-
   }
   if (n_tail != 0) {
     for (i = 0; i < k; ++i) {

src/operators/math/pool_2x2.cpp

@@ -102,7 +102,7 @@ void Pool2x2Avg(vector<int> strides, vector<int> paddings, const Tensor *input,
 #if __ARM_NEON
 
 #ifdef ARMV7
-const int batch_size = input->dims()[0];
+  const int batch_size = input->dims()[0];
 
   const int input_height = input->dims()[2];
 
@@ -173,7 +173,7 @@ const int batch_size = input->dims()[0];
   }
 #else
 
-  //TODO(): to imp other asm
+// TODO(): to imp other asm
 
 #endif
 

src/operators/math/pooling.cpp

@@ -57,7 +57,7 @@ class PoolFunctor<CPU, PoolProcess, T> {
     T *output_data = output->mutable_data<T>();
 
     for (int i = 0; i < batch_size; i++) {
-      #pragma omp parallel for
+      // <TRICKY-CLANG-FORMAT-PRAGMA-FIX> #pragma omp parallel for
       for (int c = 0; c < output_channels; ++c) {
         for (int ph = 0; ph < output_height; ++ph) {
           int hstart = ph * stride_height - padding_height;

src/operators/transpose_op.h

@@ -50,7 +50,6 @@ class TransposeOp : public framework::OperatorWithKernel<
 }  // namespace operators
 }  // namespace paddle_mobile
 
-
 #ifdef PADDLE_MOBILE_CPU
 USE_OP_CPU(transpose);
 #endif

test/common/test_openmp.cpp

@@ -17,7 +17,7 @@ limitations under the License. */
 
 int main(void) {
 #ifdef PADDLE_MOBILE_USE_OPENMP
-  #pragma omp parallel num_threads(2)
+  // <TRICKY-CLANG-FORMAT-PRAGMA-FIX> #pragma omp parallel num_threads(2)
   {
     //        int thread_id = omp_get_thread_num();
     //        int nthreads = omp_get_num_threads();