From e2ef8438a24f7c56a0744eb579a6e293ee2fbf8e Mon Sep 17 00:00:00 2001
From: Chunseok Lee <chunseok.lee@samsung.com>
Date: Thu, 23 Apr 2020 14:45:49 +0900
Subject: Imported Upstream version 1.4.0

---
 runtime/onert/backend/cpu/kernel/PadLayer.cc | 70 ++++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 runtime/onert/backend/cpu/kernel/PadLayer.cc

(limited to 'runtime/onert/backend/cpu/kernel/PadLayer.cc')

diff --git a/runtime/onert/backend/cpu/kernel/PadLayer.cc b/runtime/onert/backend/cpu/kernel/PadLayer.cc
new file mode 100644
index 000000000..393856178
--- /dev/null
+++ b/runtime/onert/backend/cpu/kernel/PadLayer.cc
@@ -0,0 +1,70 @@
+/*
+ * 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 <cker/operation/Pad.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+PadLayer::PadLayer()
+    : _input(nullptr), _output(nullptr), _padData(), _padRank(), _constantValueData()
+{
+  // DO NOTHING
+}
+
+void PadLayer::padFloat32()
+{
+  nnfw::cker::Pad(_padData, _padRank, convertTensorToCkerShape(_input),
+                  reinterpret_cast<const float *>(_input->buffer()),
+                  convertTensorToCkerShape(_output), reinterpret_cast<float *>(_output->buffer()),
+                  _constantValueData.f);
+}
+void PadLayer::padQuant8() { throw std::runtime_error("Quantized Pad isn't supported NYI"); }
+
+void PadLayer::configure(const operand::Tensor *input, operand::Tensor *output,
+                         const int32_t *padData, int32_t padRank, uint8_t *constantValueData)
+{
+  _input = input;
+  _output = output;
+  _padData = padData;
+  _padRank = padRank;
+  _constantValueData.u8 = constantValueData;
+}
+
+void PadLayer::run()
+{
+  if (_input->data_type() == OperandType::FLOAT32)
+  {
+    padFloat32();
+  }
+  else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+  {
+    padQuant8();
+  }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert
-- 
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