1 files changed, 0 insertions, 75 deletions
diff --git a/runtime/neurun/backend/cpu/kernel/PadLayer.h b/runtime/neurun/backend/cpu/kernel/PadLayer.h
deleted file mode 100644
index f4413a8ed..000000000
--- a/runtime/neurun/backend/cpu/kernel/PadLayer.h
+++ /dev/null
@@ -1,75 +0,0 @@
-/*
- * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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.
- */
-
-#ifndef __NEURUN_BACKEND_CPU_KERNEL_PADLAYER_H__
-#define __NEURUN_BACKEND_CPU_KERNEL_PADLAYER_H__
-
-#include <exec/IFunction.h>
-
-#include "OperationUtils.h"
-
-namespace neurun
-{
-namespace backend
-{
-namespace cpu
-{
-namespace kernel
-{
-
-// Note, this is pad with mode=`CONSTANT`: it doesn't support `REFLECT` and `SYMMETRIC`
-class PadLayer : public ::neurun::exec::IFunction
-{
-public:
-  PadLayer();
-
-public:
-  void padFloat32();
-
-  void padQuant8();
-
-  void configure(uint8_t *inputData, const TensorDescriptor inputDescr, uint8_t *outputData,
-                 const TensorDescriptor outputDescr, const int32_t *padData, int32_t padRank,
-                 uint8_t *constantValueData = nullptr);
-
-  void run();
-  void runSync()
-  {
-    // this abstract method is used just for profiling and called for
-    // backend::acl_common::AclFunction
-    run();
-  }
-
-private:
-  DataPtr _inputData;
-  DataPtr _outputData;
-
-  TensorDescriptor _inputDescr;
-  TensorDescriptor _outputDescr;
-
-  const int32_t *_padData;
-  int32_t _padRank;
-  DataPtr _constantValueData;
-
-  OperandType _inputType;
-};
-
-} // namespace kernel
-} // namespace cpu
-} // namespace backend
-} // namespace neurun
-
-#endif // __NEURUN_BACKEND_CPU_KERNEL_PADLAYER_H__