From c64210197c34201cbf53474bc4e01460884b0430 Mon Sep 17 00:00:00 2001
From: Zhang Jun <ewalker@live.cn>
Date: Tue, 14 Jun 2022 15:11:12 +0800
Subject: [PATCH] fix compiling werror (#43337)

---
 paddle/fluid/operators/detection/locality_aware_nms_op.cc     | 2 +-
 .../operators/detection/retinanet_detection_output_op.cc      | 2 +-
 paddle/fluid/operators/math/softmax_impl.h                    | 4 ++--
 paddle/fluid/operators/shuffle_channel_op.h                   | 2 +-
 paddle/phi/kernels/impl/lerp_kernel_impl.h                    | 2 +-
 5 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/paddle/fluid/operators/detection/locality_aware_nms_op.cc b/paddle/fluid/operators/detection/locality_aware_nms_op.cc
index 3f8bc867418..bbeacd0eb5f 100644
--- a/paddle/fluid/operators/detection/locality_aware_nms_op.cc
+++ b/paddle/fluid/operators/detection/locality_aware_nms_op.cc
@@ -316,7 +316,7 @@ class LocalityAwareNMSKernel : public framework::OpKernel<T> {
     auto* boxes_input = ctx.Input<LoDTensor>("BBoxes");
     auto* scores_input = ctx.Input<LoDTensor>("Scores");
     auto* outs = ctx.Output<LoDTensor>("Out");
-    auto score_dims = scores_input->dims();
+    auto& score_dims = scores_input->dims();
     auto score_size = score_dims.size();
     auto& dev_ctx = ctx.template device_context<platform::CPUDeviceContext>();
 
diff --git a/paddle/fluid/operators/detection/retinanet_detection_output_op.cc b/paddle/fluid/operators/detection/retinanet_detection_output_op.cc
index 4e49a6ed852..a5d22149eca 100644
--- a/paddle/fluid/operators/detection/retinanet_detection_output_op.cc
+++ b/paddle/fluid/operators/detection/retinanet_detection_output_op.cc
@@ -471,7 +471,7 @@ class RetinanetDetectionOutputKernel : public framework::OpKernel<T> {
       std::vector<Tensor> box_per_batch_list(boxes_list.size());
       std::vector<Tensor> score_per_batch_list(scores_list.size());
       for (size_t j = 0; j < boxes_list.size(); ++j) {
-        auto score_dims = scores_list[j].dims();
+        const auto& score_dims = scores_list[j].dims();
         score_per_batch_list[j] = scores_list[j].Slice(i, i + 1);
         score_per_batch_list[j].Resize({score_dims[1], score_dims[2]});
         box_per_batch_list[j] = boxes_list[j].Slice(i, i + 1);
diff --git a/paddle/fluid/operators/math/softmax_impl.h b/paddle/fluid/operators/math/softmax_impl.h
index 33da631d27b..bb3797d2682 100644
--- a/paddle/fluid/operators/math/softmax_impl.h
+++ b/paddle/fluid/operators/math/softmax_impl.h
@@ -262,7 +262,7 @@ class SoftmaxFunctor<DeviceContext, float, true, enable_if_CPU<DeviceContext>> {
  public:
   void operator()(const DeviceContext& context, const int axis_dim,
                   const framework::Tensor* X, framework::Tensor* Y) {
-    auto in_dims = X->dims();
+    const auto& in_dims = X->dims();
     const float* in_data = X->data<float>();
     float* out_data = Y->data<float>();
     const int kBatchDim = 0;
@@ -387,7 +387,7 @@ class SoftmaxGradFunctor<DeviceContext, T, enable_if_CPU<DeviceContext>> {
   void operator()(const DeviceContext& context, const int axis_dim,
                   const framework::Tensor* y, const framework::Tensor* y_grad,
                   framework::Tensor* x_grad) {
-    auto out_dims = y->dims();
+    const auto& out_dims = y->dims();
     constexpr int kBatchDim = 0;
     constexpr int kClassDim = 1;
     const int num_classes = out_dims[kClassDim];
diff --git a/paddle/fluid/operators/shuffle_channel_op.h b/paddle/fluid/operators/shuffle_channel_op.h
index 409acdfdff7..06abd0628ea 100644
--- a/paddle/fluid/operators/shuffle_channel_op.h
+++ b/paddle/fluid/operators/shuffle_channel_op.h
@@ -27,7 +27,7 @@ class ShuffleChannelOpKernel : public framework::OpKernel<T> {
     auto* output = ctx.Output<framework::Tensor>("Out");
     int group = ctx.Attr<int>("group");
 
-    auto input_dims = input->dims();
+    const auto& input_dims = input->dims();
     auto num = input_dims[0];
     auto channel = input_dims[1];
     auto height = input_dims[2];
diff --git a/paddle/phi/kernels/impl/lerp_kernel_impl.h b/paddle/phi/kernels/impl/lerp_kernel_impl.h
index 58759308fac..72fa0672a5f 100644
--- a/paddle/phi/kernels/impl/lerp_kernel_impl.h
+++ b/paddle/phi/kernels/impl/lerp_kernel_impl.h
@@ -28,7 +28,7 @@ static void LerpFunction(const Context& ctx,
                          DenseTensor* out) {
   ctx.template Alloc<T>(out);
 
-  auto out_dims = out->dims();
+  const auto& out_dims = out->dims();
   auto x_dims = phi::funcs::ExtendDims2Rank(x.dims(), D);
   auto y_dims = phi::funcs::ExtendDims2Rank(y.dims(), D);
   auto w_dims = phi::funcs::ExtendDims2Rank(weight.dims(), D);
-- 
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