【CUDA Kernel No.104】sequence_expand算子Kernel修复 -part

paddle/phi/kernels/cpu/sequence_expand_kernel.cc

@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "paddle/phi/kernels/sequence_expand_kernel.h"
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/kernels/impl/sequence_expand_kernel_impl.h"
-
 namespace phi {
 
 template <typename T>

paddle/phi/kernels/gpu/sequence_expand_kernel.cu

@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "paddle/phi/kernels/sequence_expand_kernel.h"
 #include "paddle/phi/backends/gpu/gpu_primitives.h"
 #include "paddle/phi/kernels/impl/sequence_expand_kernel_impl.h"
-
 namespace phi {
 
 template <typename T>

paddle/phi/kernels/sequence_expand_kernel.h

@@ -0,0 +1,38 @@
+// Copyright (c) 2024 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.
+
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/device_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void SequenceExpandKernel(const Context& dev_ctx,
+                          const DenseTensor& x,
+                          const DenseTensor& y,
+                          int ref_level,
+                          DenseTensor* out);
+
+template <typename T, typename Context>
+void SequenceExpandGradKernel(const Context& dev_ctx,
+                              const DenseTensor& x,
+                              const DenseTensor& y,
+                              const DenseTensor& out_grad,
+                              int ref_level,
+                              DenseTensor* x_grad);
+
+}  // namespace phi