【CUDA Kernel No.24】ap_variadic算子Kernel修复 -part

paddle/phi/kernels/gpu/ap_variadic_kernel.cu

@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "paddle/phi/kernels/gpu/ap_variadic_kernel.h"
+#include "paddle/ap/include/axpr/data_type_util.h"
+#include "paddle/ap/include/kernel_dispatch/ap_variadic_kernel.h"
+#include "paddle/ap/include/paddle/phi/device_ctx.h"
 #include "paddle/common/enforce.h"
 #include "paddle/phi/backends/gpu/gpu_context.h"
 #include "paddle/phi/core/dense_tensor.h"
 #include "paddle/phi/core/kernel_registry.h"
 
-#include "paddle/ap/include/axpr/data_type_util.h"
-#include "paddle/ap/include/kernel_dispatch/ap_variadic_kernel.h"
-#include "paddle/ap/include/paddle/phi/device_ctx.h"
-
 namespace phi {
 
 template <typename Context>

paddle/phi/kernels/gpu/ap_variadic_kernel.h

@@ -0,0 +1,38 @@
+// Copyright (c) 2025 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 <string>
+#include <vector>
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename Context>
+void AllocateOutTensors(const Context& dev_ctx,
+                        const std::vector<DenseTensor*>& outs);
+
+template <typename T, typename Context>
+void ApVariadicKernel(const Context& dev_ctx,
+                      const std::vector<const DenseTensor*>& xs,
+                      int num_outputs,
+                      const std::string& code_module_lambda,
+                      const std::string& infer_symbolic_lambda,
+                      const std::string& infer_meta_lambda,
+                      const std::string& kernel_dispatch_lambda,
+                      const std::string& kernel_dispatch_const_data_lambda,
+                      std::vector<DenseTensor*> outs);
+
+}  // namespace phi