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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 "Reference.h"
#include "Helpers.h"
#include "ReferenceCPP.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/validation_old/Helpers.h"
#include <random>
#include <vector>
using namespace arm_compute::test;
#ifndef DOXYGEN_SKIP_THIS
namespace arm_compute
{
namespace test
{
namespace validation
{
KeyPointArray Reference::compute_reference_harris_corners(const TensorShape &shape, float threshold, float min_dist, float sensitivity,
int32_t gradient_size, int32_t block_size, BorderMode border_mode, uint8_t constant_border_value)
{
// Create reference
RawTensor ref_src(shape, Format::U8);
RawTensor raw_Gx(shape, (gradient_size == 7) ? Format::S32 : Format::S16);
RawTensor raw_Gy(shape, (gradient_size == 7) ? Format::S32 : Format::S16);
RawTensor raw_candidates(shape, Format::F32);
RawTensor raw_non_maxima(shape, Format::F32);
KeyPointArray corners(shape.total_size());
// Fill reference
library->fill_tensor_uniform(ref_src, 0);
// Compute reference
ReferenceCPP::harris_corners(ref_src, raw_Gx, raw_Gy, raw_candidates, raw_non_maxima, threshold, min_dist, sensitivity, gradient_size, block_size, corners, border_mode, constant_border_value);
return corners;
}
RawTensor Reference::compute_reference_absolute_difference(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out)
{
// Create reference
RawTensor ref_src1(shape, dt_in0);
RawTensor ref_src2(shape, dt_in1);
RawTensor ref_dst(shape, dt_out);
// Fill reference
library->fill_tensor_uniform(ref_src1, 0);
library->fill_tensor_uniform(ref_src2, 1);
// Compute reference
ReferenceCPP::absolute_difference(ref_src1, ref_src2, ref_dst);
return ref_dst;
}
RawTensor Reference::compute_reference_accumulate(const TensorShape &shape)
{
// Create reference
RawTensor ref_src(shape, DataType::U8);
RawTensor ref_dst(shape, DataType::S16);
// Fill reference
library->fill_tensor_uniform(ref_src, 0);
library->fill_tensor_uniform(ref_dst, 1);
// Compute reference
ReferenceCPP::accumulate(ref_src, ref_dst);
return ref_dst;
}
RawTensor Reference::compute_reference_accumulate_squared(const TensorShape &shape, uint32_t shift)
{
// Create reference
RawTensor ref_src(shape, DataType::U8);
RawTensor ref_dst(shape, DataType::S16);
// Fill reference
// ref_dst tensor filled with non-negative values
library->fill_tensor_uniform(ref_src, 0);
library->fill_tensor_uniform(ref_dst, 1, static_cast<int16_t>(0), std::numeric_limits<int16_t>::max());
// Compute reference
ReferenceCPP::accumulate_squared(ref_src, ref_dst, shift);
return ref_dst;
}
RawTensor Reference::compute_reference_accumulate_weighted(const TensorShape &shape, float alpha)
{
// Create reference
RawTensor ref_src(shape, DataType::U8);
RawTensor ref_dst(shape, DataType::U8);
// Fill reference
library->fill_tensor_uniform(ref_src, 0);
library->fill_tensor_uniform(ref_dst, 1);
// Compute reference
ReferenceCPP::accumulate_weighted(ref_src, ref_dst, alpha);
return ref_dst;
}
RawTensor Reference::compute_reference_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy,
RoundingPolicy rounding_policy)
{
// Create reference
RawTensor ref_src1(shape, dt_in0);
RawTensor ref_src2(shape, dt_in1);
RawTensor ref_dst(shape, dt_out);
// Fill reference
library->fill_tensor_uniform(ref_src1, 0);
library->fill_tensor_uniform(ref_src2, 1);
// Compute reference
ReferenceCPP::pixel_wise_multiplication(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy);
return ref_dst;
}
RawTensor Reference::compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position,
ConvertPolicy convert_policy, RoundingPolicy rounding_policy)
{
// Create reference
RawTensor ref_src1(shape, dt_in0, 1, fixed_point_position);
RawTensor ref_src2(shape, dt_in1, 1, fixed_point_position);
RawTensor ref_dst(shape, dt_out, 1, fixed_point_position);
// Fill reference
library->fill_tensor_uniform(ref_src1, 0);
library->fill_tensor_uniform(ref_src2, 1);
// Compute reference
ReferenceCPP::fixed_point_pixel_wise_multiplication(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy);
return ref_dst;
}
RawTensor Reference::compute_reference_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info)
{
TensorShape shape_dst;
shape_dst.set(0, pool_info.pooled_width());
shape_dst.set(1, pool_info.pooled_height());
shape_dst.set(2, shape.z());
shape_dst.set(3, rois.size());
// Create reference
RawTensor ref_src(shape, dt);
RawTensor ref_dst(shape_dst, dt);
// Fill reference
std::uniform_real_distribution<> distribution(-1, 1);
library->fill(ref_src, distribution, 0.0);
// Compute reference
ReferenceCPP::roi_pooling_layer(ref_src, ref_dst, rois, pool_info);
return ref_dst;
}
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* DOXYGEN_SKIP_THIS */
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