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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 _MIR_TENSOR_UTIL_H_
#define _MIR_TENSOR_UTIL_H_
#include "mir/Index.h"
#include "mir/ShapeRange.h"
#include "mir/TensorVariant.h"
#include <cstring>
namespace mir
{
template <int32_t... Ints> Shape transposeShape(const Shape &shape)
{
assert(sizeof...(Ints) == shape.rank());
return {shape.dim(Ints)...};
}
template <unsigned int... Ints> TensorVariant transposeTensor(const TensorVariant &tensor)
{
const auto &shape = tensor.getShape();
Shape transposed_shape{shape.dim(Ints)...};
auto elem_type = tensor.getElementType();
auto elem_size = tensor.getElementSize();
TensorType transposed_type(elem_type, transposed_shape);
if (tensor.getType().isQuantized())
transposed_type.setQuantization(tensor.getType().getQuantization());
TensorVariant transposed_tensor(transposed_type);
for (const auto &index : ShapeRange(shape))
{
Index transposed_index{index.at(Ints)...};
std::memcpy(transposed_tensor.at(transposed_index), tensor.at(index), elem_size);
}
return transposed_tensor;
}
} // namespace mir
#endif //_MIR_TENSOR_UTIL_H_
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