diff --git a/paddle/phi/kernels/xpu/expand_as_kernel.cc b/paddle/phi/kernels/xpu/expand_as_kernel.cc
index 3ff46d64e96b782a66b9e7dc94eaced6bb388fe1..1427c61f4503b3f6d7d5e8f35d77d6e4d711ce7a 100644
--- a/paddle/phi/kernels/xpu/expand_as_kernel.cc
+++ b/paddle/phi/kernels/xpu/expand_as_kernel.cc
@@ -23,11 +23,11 @@ namespace phi {
 
 template <typename Context, typename T>
 void ExpandAs(const Context& context,
-              const DenseTensor& in0,
+              const DenseTensor& x,
               const std::vector<int>& target_shape,
-              DenseTensor* out0) {
+              DenseTensor* out) {
   using XPUType = typename XPUTypeTrait<T>::Type;
-  auto in_dims = in0.dims();
+  auto in_dims = x.dims();
   auto vec_in_dims = phi::vectorize<int>(in_dims);
   auto diff = target_shape.size() - vec_in_dims.size();
   vec_in_dims.insert(vec_in_dims.begin(), diff, 1);
@@ -50,23 +50,23 @@ void ExpandAs(const Context& context,
     }
   }
   phi::DDim out_dims = phi::make_ddim(target_shape);
-  out0->Resize(out_dims);
-  context.template Alloc<T>(out0);
-  auto& in0_shape = vec_in_dims;
-  auto out0_shape = phi::vectorize<int>(out_dims);
+  out->Resize(out_dims);
+  context.template Alloc<T>(out);
+  auto& x_shape = vec_in_dims;
+  auto out_shape = phi::vectorize<int>(out_dims);
 
   int r = XPU_SUCCESS;
 
   if (std::is_same<T, bool>::value) {
-    auto in0_data = reinterpret_cast<const int8_t*>(in0.data<T>());
-    auto out0_data = reinterpret_cast<int8_t*>(out0->data<T>());
+    auto x_data = reinterpret_cast<const int8_t*>(x.data<T>());
+    auto out_data = reinterpret_cast<int8_t*>(out->data<T>());
     r = xpu::broadcast<int8_t>(
-        context.x_context(), in0_data, out0_data, in0_shape, out0_shape);
+        context.x_context(), x_data, out_data, x_shape, out_shape);
   } else {
-    auto in0_data = reinterpret_cast<const XPUType*>(in0.data<T>());
-    auto out0_data = reinterpret_cast<XPUType*>(out0->data<T>());
+    auto x_data = reinterpret_cast<const XPUType*>(x.data<T>());
+    auto out_data = reinterpret_cast<XPUType*>(out->data<T>());
     r = xpu::broadcast<XPUType>(
-        context.x_context(), in0_data, out0_data, in0_shape, out0_shape);
+        context.x_context(), x_data, out_data, x_shape, out_shape);
   }
   PADDLE_ENFORCE_EQ(
       r,