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diff --git a/runtime/onert/backend/cpu/ops/StridedSliceLayer.cc b/runtime/onert/backend/cpu/ops/StridedSliceLayer.cc
new file mode 100644
index 000000000..f77f4d691
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+++ b/runtime/onert/backend/cpu/ops/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 ops
+{
+
+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)
+{
+}
+
+template <typename T> void StridedSliceLayer::stridedSliceImpl()
+{
+  const auto input_shape = getTensorShape(_input);
+  const auto output_shape = getTensorShape(_output);
+  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,
+      input_shape.DimensionsCount());
+
+  nnfw::cker::checkOutputSize(op_params, input_shape, output_shape, input_shape.DimensionsCount());
+
+  nnfw::cker::StridedSlice(op_params, input_shape, reinterpret_cast<const T *>(_input->buffer()),
+                           output_shape, reinterpret_cast<T *>(_output->buffer()));
+}
+
+void StridedSliceLayer::configure(const IPortableTensor *input, const IPortableTensor *begin,
+                                  const IPortableTensor *end, const IPortableTensor *strides,
+                                  IPortableTensor *output, const int32_t begin_mask,
+                                  const int32_t end_mask, const int32_t shrink_axis_mask)
+{
+  _input = input;
+  _begin = begin;
+  _end = end;
+  _strides = strides;
+  _output = output;
+
+  _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)
+  {
+    stridedSliceImpl<float>();
+  }
+  else if (_input->data_type() == OperandType::INT32)
+  {
+    stridedSliceImpl<int32_t>();
+  }
+  else if (_input->data_type() == OperandType::INT64)
+  {
+    stridedSliceImpl<int64_t>();
+  }
+  else
+  {
+    throw std::runtime_error{"StridedSlice: unsupported data type"};
+  }
+}
+
+} // namespace ops
+} // namespace cpu
+} // namespace backend
+} // namespace onert