1 files changed, 76 insertions, 0 deletions
diff --git a/runtime/neurun/backend/cpu/kernel/PadLayer.cc b/runtime/neurun/backend/cpu/kernel/PadLayer.cc
new file mode 100644
index 000000000..1fd9429b5
--- /dev/null
+++ b/runtime/neurun/backend/cpu/kernel/PadLayer.cc
@@ -0,0 +1,76 @@
+/*
+ * 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