1 files changed, 0 insertions, 76 deletions
diff --git a/runtime/neurun/backend/cpu/kernel/PadLayer.cc b/runtime/neurun/backend/cpu/kernel/PadLayer.cc
deleted file mode 100644
index 1fd9429b5..000000000
--- a/runtime/neurun/backend/cpu/kernel/PadLayer.cc
+++ /dev/null
@@ -1,76 +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.
- */
-
-#include "PadLayer.h"
-
-#include "OperationUtils.h"
-
-#include <cker/operation/Pad.h>
-
-namespace neurun
-{
-namespace backend
-{
-namespace cpu
-{
-namespace kernel
-{
-
-PadLayer::PadLayer()
-    : _inputData(), _outputData(), _inputDescr(), _outputDescr(), _padData(), _padRank(),
-      _constantValueData(), _inputType(OperandType::FLOAT32)
-{
-  // DO NOTHING
-}
-
-void PadLayer::padFloat32()
-{
-  nnfw::cker::Pad(_padData, _padRank, convertTensorDescriptorToCkerShape(_inputDescr), _inputData.f,
-                  convertTensorDescriptorToCkerShape(_outputDescr), _outputData.f,
-                  _constantValueData.f);
-}
-void PadLayer::padQuant8() { throw std::runtime_error("Quantized Pad isn't supported NYI"); }
-
-void PadLayer::configure(uint8_t *inputData, const TensorDescriptor inputDescr, uint8_t *outputData,
-                         const TensorDescriptor outputDescr, const int32_t *padData,
-                         int32_t padRank, uint8_t *constantValueData)
-{
-  _inputData.u8 = inputData;
-  _inputDescr = inputDescr;
-  _inputType = inputDescr.type;
-  _outputData.u8 = outputData;
-  _outputDescr = outputDescr;
-  _padData = padData;
-  _padRank = padRank;
-  _constantValueData.u8 = constantValueData;
-}
-
-void PadLayer::run()
-{
-  if (_inputType == OperandType::FLOAT32)
-  {
-    padFloat32();
-  }
-  else if (_inputType == OperandType::QUANT8_ASYMM)
-  {
-    padQuant8();
-  }
-}
-
-} // namespace kernel
-} // namespace cpu
-} // namespace backend
-} // namespace neurun