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+/*
+ * Copyright (c) 2018 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.
+ */
+
+#ifndef __INTERNAL_NNAPI_TENSOR_READER_H__
+#define __INTERNAL_NNAPI_TENSOR_READER_H__
+
+#include <vector>
+#include "util/tensor/Reader.h"
+
+namespace internal
+{
+namespace nnapi
+{
+namespace tensor
+{
+
+template <typename T> class Reader final : public nnfw::util::tensor::Reader<T>
+{
+public:
+ // NOTE The parameter len denotes the number of bytes.
+ Reader(const ::nnfw::util::tensor::Shape &shape, const T *ptr, size_t len)
+ : _shape{shape}, _ptr{ptr}
+ {
+ assert(shape.element_nums() * sizeof(T) == len);
+ initialize();
+ }
+
+public:
+ const nnfw::util::tensor::Shape &shape(void) const { return _shape; }
+
+public:
+ T at(const nnfw::util::tensor::Index &index_nnapi) const override
+ {
+ uint32_t offset = 0;
+
+ for (int i = 0; i < _shape.rank(); i++)
+ offset += index_nnapi.at(i) * _stridess.at(i);
+
+ return _ptr[offset];
+ }
+
+private:
+ /*
+ Assuming that shape is [d4, .. , d1] and data is stored at a pointer ptr,
+ we need to calculate the offset of index [i4, .. i1] as follows:
+ offset = i4 * (d3 * d2 * d1) +
+ i3 * (d2 * d1) +
+ i2 * (d1) +
+ i1
+ So (d4 * d3 * d2 * d1) or (d3 * d2 * d1) or (d2 * d1) happens whenever offset is calculate.
+ To minimize this repetitive calculation,
+ _stridess[n] contains _spape[n-1]*_spape[n-2]*_spape[0]
+ */
+ void initialize(void)
+ {
+ for (int r = 0; r < _shape.rank(); r++)
+ {
+ int elem_count = 1;
+ for (int k = r + 1; k < _shape.rank(); k++)
+ elem_count *= _shape.dim(k);
+ _stridess.emplace_back(elem_count);
+ }
+ }
+
+private:
+ nnfw::util::tensor::Shape _shape;
+
+private:
+ const T *_ptr;
+ std::vector<int32_t> _stridess;
+};
+
+} // namespace tensor
+} // namespace nnapi
+} // namespace internal
+
+#endif // __INTERNAL_NNAPI_TENSOR_READER_H__