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/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ReductionOperation.h"
#include "tests/validation_new/Helpers.h"
#include <algorithm>
#include <cmath>
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
namespace
{
template <typename T>
struct square
{
T operator()(const T &lhs, const T &rhs) const
{
return (lhs + rhs * rhs);
}
};
template <typename T>
T reduce_operation(T *ptr, int reduce_elements, ReductionOperation op)
{
switch(op)
{
case ReductionOperation::SUM_SQUARE:
return std::accumulate(ptr, ptr + reduce_elements, 0.f, square<T>());
default:
ARM_COMPUTE_ERROR("Unsupported reduction operation");
}
}
} // namespace
template <typename T>
SimpleTensor<T> reduction_operation(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)
{
// Create reference
SimpleTensor<T> dst{ dst_shape, src.data_type() };
// Compute reference
const int reduce_elems = src.shape()[axis];
const int upper_dims = src.shape().total_size_upper(axis + 1);
for(int du = 0; du < upper_dims; ++du)
{
if(axis == 0)
{
const T *src_row_ptr = src.data() + du * reduce_elems;
dst[du] = reduce_operation(src_row_ptr, reduce_elems, op);
}
else
{
ARM_COMPUTE_ERROR("Unsupported reduction axis");
}
}
return dst;
}
template SimpleTensor<float> reduction_operation(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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