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diff --git a/runtime/onert/backend/cpu/kernel/StridedSliceLayer.cc b/runtime/onert/backend/cpu/kernel/StridedSliceLayer.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 "StridedSliceLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/StridedSlice.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+StridedSliceLayer::StridedSliceLayer()
+ : _input(nullptr), _begin(nullptr), _end(nullptr), _strides(nullptr), _output(nullptr),
+ _begin_mask(0), _ellipsis_mask(0), _end_mask(0), _new_axis_mask(0), _shrink_axis_mask(0),
+ _rank(0)
+{
+}
+
+void StridedSliceLayer::stridedSliceFloat32()
+{
+ auto op_params = nnfw::cker::buildStridedSliceParams(
+ reinterpret_cast<uint32_t *>(_begin->buffer()), reinterpret_cast<uint32_t *>(_end->buffer()),
+ reinterpret_cast<uint32_t *>(_strides->buffer()), _begin_mask, _end_mask, _shrink_axis_mask,
+ _rank);
+
+ nnfw::cker::checkOutputSize(op_params, convertTensorToCkerShape(_input),
+ convertTensorToCkerShape(_output), _rank);
+
+ nnfw::cker::StridedSlice(op_params, convertTensorToCkerShape(_input),
+ reinterpret_cast<const float *>(_input->buffer()),
+ convertTensorToCkerShape(_output),
+ reinterpret_cast<float *>(_output->buffer()));
+}
+
+void StridedSliceLayer::stridedSliceQuant8()
+{
+ // cker quant8 stridedSlice is not implemented yet
+ throw std::runtime_error{"NYI"};
+}
+
+void StridedSliceLayer::configure(const operand::Tensor *input, const operand::Tensor *begin,
+ const operand::Tensor *end, const operand::Tensor *strides,
+ operand::Tensor *output, const int32_t begin_mask,
+ const int32_t end_mask, const int32_t shrink_axis_mask,
+ const int32_t rank)
+{
+ _input = input;
+ _begin = begin;
+ _end = end;
+ _strides = strides;
+ _output = output;
+
+ _rank = rank;
+ _begin_mask = begin_mask;
+ _ellipsis_mask = 0;
+ _end_mask = end_mask;
+ _new_axis_mask = 0;
+ _shrink_axis_mask = shrink_axis_mask;
+}
+
+void StridedSliceLayer::run()
+{
+ if (_input->data_type() == OperandType::FLOAT32)
+ {
+ stridedSliceFloat32();
+ }
+ else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+ {
+ stridedSliceQuant8();
+ }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert