diff --git a/paddle/phi/kernels/assign_kernel.cc b/paddle/phi/kernels/assign_kernel.cc
index 5eafc869fa551ac5dfdc7d2e4bec24d75808938f..720ebb5b78c9a8fe9d04025fcb35fbc57a5adc0b 100644
--- a/paddle/phi/kernels/assign_kernel.cc
+++ b/paddle/phi/kernels/assign_kernel.cc
@@ -23,22 +23,22 @@
 namespace phi {
 
 template <typename Context>
-void AssignRawKernel(const Context& dev_ctx,
-                     const DenseTensor& x,
-                     DenseTensor* out) {
+void AssignKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  DenseTensor* out) {
   Copy<Context>(dev_ctx, x, x.place(), false, out);
 }
 
 template <typename Context>
-void AssignKernel(const Context& dev_ctx,
-                  paddle::optional<const DenseTensor&> x,
-                  DenseTensor* out) {
+void AssignRawKernel(const Context& dev_ctx,
+                     paddle::optional<const DenseTensor&> x,
+                     DenseTensor* out) {
   if (x) {
     if (!x->IsInitialized()) {
       return;
     }
     auto& x_tensor = *x.get_ptr();
-    AssignRawKernel<Context>(dev_ctx, x_tensor, out);
+    AssignKernel<Context>(dev_ctx, x_tensor, out);
   }
 }
 
@@ -111,14 +111,14 @@ void AssignValueKernel(const Context& dev_ctx,
 
 }  // namespace phi
 
+PD_REGISTER_GENERAL_KERNEL(
+    assign, CPU, ALL_LAYOUT, phi::AssignKernel<phi::CPUContext>, ALL_DTYPE) {}
+
 PD_REGISTER_GENERAL_KERNEL(assign_raw,
                            CPU,
                            ALL_LAYOUT,
                            phi::AssignRawKernel<phi::CPUContext>,
-                           ALL_DTYPE) {}
-
-PD_REGISTER_GENERAL_KERNEL(
-    assign, CPU, ALL_LAYOUT, phi::AssignKernel<phi::CPUContext>, ALL_DTYPE) {
+                           ALL_DTYPE) {
   kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
 }
 PD_REGISTER_GENERAL_KERNEL(assign_array,
@@ -136,13 +136,13 @@ PD_REGISTER_KERNEL(assign_value,
                    int64_t) {}
 
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_GENERAL_KERNEL(
+    assign, GPU, ALL_LAYOUT, phi::AssignKernel<phi::GPUContext>, ALL_DTYPE) {}
 PD_REGISTER_GENERAL_KERNEL(assign_raw,
                            GPU,
                            ALL_LAYOUT,
                            phi::AssignRawKernel<phi::GPUContext>,
-                           ALL_DTYPE) {}
-PD_REGISTER_GENERAL_KERNEL(
-    assign, GPU, ALL_LAYOUT, phi::AssignKernel<phi::GPUContext>, ALL_DTYPE) {
+                           ALL_DTYPE) {
   kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
 }
 PD_REGISTER_GENERAL_KERNEL(assign_array,
diff --git a/paddle/phi/kernels/assign_kernel.h b/paddle/phi/kernels/assign_kernel.h
index 437a2a0c189e868e8d6bee6567473439393eebaa..6881ac9f0ee22539985e6db1872164858d94fa81 100644
--- a/paddle/phi/kernels/assign_kernel.h
+++ b/paddle/phi/kernels/assign_kernel.h
@@ -22,17 +22,17 @@
 namespace phi {
 
 template <typename Context>
-void AssignRawKernel(const Context& dev_ctx,
-                     const DenseTensor& x,
-                     DenseTensor* out);
+void AssignKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  DenseTensor* out);
 
 // In order to be compatible with the `AsDispensable` input in the original
 // assign op maker, the input parameter here needs to be dispensable, but
 // this looks weird
 template <typename Context>
-void AssignKernel(const Context& dev_ctx,
-                  paddle::optional<const DenseTensor&> x,
-                  DenseTensor* out);
+void AssignRawKernel(const Context& dev_ctx,
+                     paddle::optional<const DenseTensor&> x,
+                     DenseTensor* out);
 
 template <typename Context>
 void AssignArrayKernel(const Context& dev_ctx,
diff --git a/paddle/phi/ops/compat/assign_sig.cc b/paddle/phi/ops/compat/assign_sig.cc
index d149e8e6a9aa04d3cc8d02e370e7e07e3cbebeb0..c8cd9e44ff9ae9b5fd815fe9ce4dc1aff27b5fd1 100644
--- a/paddle/phi/ops/compat/assign_sig.cc
+++ b/paddle/phi/ops/compat/assign_sig.cc
@@ -23,10 +23,10 @@ KernelSignature AssignOpArgumentMapping(const ArgumentMappingContext& ctx) {
     } else if (ctx.IsSelectedRowsInput("X")) {
       return KernelSignature("assign_sr", {"X"}, {}, {"Out"});
     } else {
-      return KernelSignature("assign", {"X"}, {}, {"Out"});
+      return KernelSignature("assign_raw", {"X"}, {}, {"Out"});
     }
   } else {
-    return KernelSignature("assign", {"X"}, {}, {"Out"});
+    return KernelSignature("assign_raw", {"X"}, {}, {"Out"});
   }
 }
 
diff --git a/python/paddle/utils/code_gen/api.yaml b/python/paddle/utils/code_gen/api.yaml
index 7e6740b6cb178caa9d2281389c0a8c60367066c9..b20259d3ebd2516bf0e63b7d3cab81d679938baa 100644
--- a/python/paddle/utils/code_gen/api.yaml
+++ b/python/paddle/utils/code_gen/api.yaml
@@ -174,7 +174,7 @@
   infer_meta :
     func : UnchangedInferMeta
   kernel :
-    func : assign_raw
+    func : assign
   backward : assign_grad
 
 # atan
diff --git a/python/paddle/utils/code_gen/backward.yaml b/python/paddle/utils/code_gen/backward.yaml
index e2c5a970af17f6fd2729bd1c7272aacd8b0c0d99..78f4ac7c985fb67534929f5006840260f42f6e9d 100644
--- a/python/paddle/utils/code_gen/backward.yaml
+++ b/python/paddle/utils/code_gen/backward.yaml
@@ -120,7 +120,7 @@
     func : UnchangedInferMeta
     param : [out_grad]
   kernel :
-    func : assign_raw
+    func : assign
 
 - backward_api : atan2_grad
   forward : atan2 (Tensor x, Tensor y) -> Tensor(out)