From a8da1625b6b5046138ca343a21ce0d8f46f961ff Mon Sep 17 00:00:00 2001
From: Aurelius84 <zhangliujie@baidu.com>
Date: Mon, 5 Sep 2022 18:58:34 +0800
Subject: [PATCH] [OpAttr]Fix complation error of XPU from Pool2dGradKernel
 (#45727)

* [OpAttr]Fix complation error of XPU from Pool2dGradKernel

* test=kunlun
---
 paddle/phi/kernels/xpu/pool_grad_kernel.cc | 5 +++--
 paddle/phi/kernels/xpu/pool_kernel.cc      | 6 +++---
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/paddle/phi/kernels/xpu/pool_grad_kernel.cc b/paddle/phi/kernels/xpu/pool_grad_kernel.cc
index 312c7be34f7..349fe1a0f1d 100644
--- a/paddle/phi/kernels/xpu/pool_grad_kernel.cc
+++ b/paddle/phi/kernels/xpu/pool_grad_kernel.cc
@@ -24,7 +24,7 @@ void Pool2dGradKernel(const Context& ctx,
                       const DenseTensor& x,
                       const DenseTensor& out,
                       const DenseTensor& dout,
-                      const std::vector<int>& kernel_size_t,
+                      const IntArray& kernel_size_t,
                       const std::vector<int>& strides_t,
                       const std::vector<int>& paddings_t,
                       bool ceil_mode,
@@ -38,7 +38,8 @@ void Pool2dGradKernel(const Context& ctx,
   using XPUType = typename XPUTypeTrait<T>::Type;
 
   std::vector<int> paddings(paddings_t);
-  std::vector<int> kernel_size(kernel_size_t);
+  std::vector<int> kernel_size(kernel_size_t.GetData().begin(),
+                               kernel_size_t.GetData().end());
   std::vector<int> strides(strides_t);
 
   PADDLE_ENFORCE_EQ(
diff --git a/paddle/phi/kernels/xpu/pool_kernel.cc b/paddle/phi/kernels/xpu/pool_kernel.cc
index 2eb850b9a7a..9278484378e 100644
--- a/paddle/phi/kernels/xpu/pool_kernel.cc
+++ b/paddle/phi/kernels/xpu/pool_kernel.cc
@@ -22,7 +22,7 @@ namespace phi {
 template <typename T, typename Context>
 void Pool2dKernel(const Context& ctx,
                   const DenseTensor& x,
-                  const IntArray& kernel_size,
+                  const IntArray& kernel_size_t,
                   const std::vector<int>& strides,
                   const std::vector<int>& paddings_t,
                   bool ceil_mode,
@@ -36,8 +36,8 @@ void Pool2dKernel(const Context& ctx,
   using XPUType = typename XPUTypeTrait<T>::Type;
 
   std::vector<int> paddings(paddings_t);
-  std::vector<int> kernel_size_val(kernel_size.GetData().begin(),
-                                   kernel_size.GetData().end());
+  std::vector<int> kernel_size(kernel_size_t.GetData().begin(),
+                               kernel_size_t.GetData().end());
 
   PADDLE_ENFORCE_EQ(kernel_size.size(),
                     2,
-- 
GitLab