diff --git a/paddle/phi/backends/xpu/xpu2_op_list.cc b/paddle/phi/backends/xpu/xpu2_op_list.cc
index 67ac2b17a709493b6bcfbab420a00f89bfd48495..b3635652ffd1014b911772e2abf3daa9c8b9b785 100644
--- a/paddle/phi/backends/xpu/xpu2_op_list.cc
+++ b/paddle/phi/backends/xpu/xpu2_op_list.cc
@@ -313,6 +313,7 @@ XPUOpMap& get_kl2_ops() {
        XPUKernelSet({phi::DataType::INT64,
                      phi::DataType::INT32,
                      phi::DataType::FLOAT32})},
+      {"grid_sampler_grad", XPUKernelSet({phi::DataType::FLOAT32})},
       {"grid_sampler", XPUKernelSet({phi::DataType::FLOAT32})},
       {"hard_sigmoid_grad", XPUKernelSet({phi::DataType::FLOAT32})},
       {"hard_sigmoid", XPUKernelSet({phi::DataType::FLOAT32})},
diff --git a/paddle/phi/kernels/xpu/grid_sample_grad_kernel.cc b/paddle/phi/kernels/xpu/grid_sample_grad_kernel.cc
new file mode 100644
index 0000000000000000000000000000000000000000..86e78b4b15cf9e5c84d3d1d7ba23b662b4ab0bad
--- /dev/null
+++ b/paddle/phi/kernels/xpu/grid_sample_grad_kernel.cc
@@ -0,0 +1,87 @@
+// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+//
+// 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/phi/kernels/grid_sample_grad_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void GridSampleGradKernel(const Context& dev_ctx,
+                          const DenseTensor& x,
+                          const DenseTensor& grid,
+                          const DenseTensor& out_grid,
+                          const std::string& mode,
+                          const std::string& padding_mode,
+                          bool align_corners,
+                          DenseTensor* x_grad,
+                          DenseTensor* grid_grad) {
+  PADDLE_ENFORCE_EQ(
+      x.dims().size(),
+      4,
+      phi::errors::InvalidArgument(
+          ("XPU is only support input_dims == 4 in grid_sample_grad op.")));
+
+  const int64_t n = grid.dims()[0];
+  const int64_t out_h = grid.dims()[1];
+  const int64_t out_w = grid.dims()[2];
+  const int64_t c = x.dims()[1];
+  const int64_t in_h = x.dims()[2];
+  const int64_t in_w = x.dims()[3];
+
+  x_grad->Resize({n, c, in_h, in_w});
+  T* x_grad_ptr = dev_ctx.template Alloc<T>(x_grad);
+
+  T* grid_grad_ptr = nullptr;
+  if (grid_grad != nullptr) {
+    grid_grad->Resize({n, out_h, out_w, 2});
+    grid_grad_ptr = dev_ctx.template Alloc<T>(grid_grad);
+  }
+
+  bool is_nearest = false;
+  if (mode == "nearest") {
+    is_nearest = true;
+  }
+  int64_t padding_mode_type = 0;
+  if (padding_mode == "border") {
+    padding_mode_type = 1;
+  } else if (padding_mode == "reflection") {
+    padding_mode_type = 2;
+  }
+
+  int r = xpu::grid_sample_grad<T>(dev_ctx.x_context(),
+                                   x.data<T>(),
+                                   grid.data<T>(),
+                                   out_grid.data<T>(),
+                                   x_grad_ptr,
+                                   grid_grad_ptr,
+                                   n,
+                                   c,
+                                   in_h,
+                                   in_w,
+                                   out_h,
+                                   out_w,
+                                   is_nearest,
+                                   align_corners,
+                                   padding_mode_type,
+                                   true);
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "grid_sample_grad");
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    grid_sample_grad, XPU, ALL_LAYOUT, phi::GridSampleGradKernel, float) {}
diff --git a/python/paddle/fluid/tests/unittests/op_test_xpu.py b/python/paddle/fluid/tests/unittests/op_test_xpu.py
index a7cb066db7a1d56278b2a0a13fdc0b367dbeb726..c6a76c55635dd93bf4bc5a56833fbc4faa2c4912 100644
--- a/python/paddle/fluid/tests/unittests/op_test_xpu.py
+++ b/python/paddle/fluid/tests/unittests/op_test_xpu.py
@@ -35,6 +35,7 @@ class XPUOpTest(OpTest):
         '''Fix random seeds to remove randomness from tests'''
         cls.use_xpu = True
         cls.use_mkldnn = False
+        cls.epsilon_xpu2xpu = 0.00000001
         super().setUpClass()
 
     @classmethod
@@ -212,7 +213,11 @@ class XPUOpTest(OpTest):
             user_defined_grad_outputs=user_defined_grad_outputs,
         )
         self._assert_is_close(
-            a1, a2, inputs_to_check, 0.00000001, "Gradient Check On two xpu"
+            a1,
+            a2,
+            inputs_to_check,
+            self.epsilon_xpu2xpu,
+            "Gradient Check On two xpu",
         )
         self._assert_is_close(
             a1,
diff --git a/python/paddle/fluid/tests/unittests/xpu/test_grid_sampler_op_xpu.py b/python/paddle/fluid/tests/unittests/xpu/test_grid_sampler_op_xpu.py
index 3b2deaf4396bbc95e740674c88e9c4532ad567d9..c92ddc9531b2121814830e33db0772645608b494 100644
--- a/python/paddle/fluid/tests/unittests/xpu/test_grid_sampler_op_xpu.py
+++ b/python/paddle/fluid/tests/unittests/xpu/test_grid_sampler_op_xpu.py
@@ -170,6 +170,7 @@ class XPUTestGridSamplerOP(XPUOpTestWrapper):
             self.place = paddle.XPUPlace(0)
             self.init_dtype()
             self.op_type = 'grid_sampler'
+            self.epsilon_xpu2xpu = 0.000001
 
             self.use_cudnn = False
             self.align_corners = True