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-rw-r--r--runtime/onert/backend/cpu/kernel/SinLayer.cc69
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diff --git a/runtime/onert/backend/cpu/kernel/SinLayer.cc b/runtime/onert/backend/cpu/kernel/SinLayer.cc
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+++ b/runtime/onert/backend/cpu/kernel/SinLayer.cc
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+/*
+ * Copyright (c) 2020 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 "SinLayer.h"
+#include "OperationUtils.h"
+
+#include <cker/operation/Elementwise.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+SinLayer::SinLayer() : _input(nullptr), _output(nullptr)
+{
+ // DO NOTHING
+}
+
+void SinLayer::sinFloat32()
+{
+ nnfw::cker::Sin(convertTensorToCkerShape(_input),
+ reinterpret_cast<const float *>(_input->buffer()),
+ convertTensorToCkerShape(_output), reinterpret_cast<float *>(_output->buffer()));
+}
+
+void SinLayer::sinQuant8() { throw std::runtime_error{"NYI"}; }
+
+void SinLayer::configure(const operand::Tensor *input, operand::Tensor *output)
+{
+ _input = input;
+ _output = output;
+}
+
+void SinLayer::run()
+{
+ if (_input->data_type() == OperandType::FLOAT32)
+ {
+ sinFloat32();
+ }
+ else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+ {
+ sinQuant8();
+ }
+ else
+ {
+ throw std::runtime_error{"Sin: unsupported data type"};
+ }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert