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Diffstat (limited to 'tests/validation_old/ReferenceCPP.cpp')
-rw-r--r-- | tests/validation_old/ReferenceCPP.cpp | 152 |
1 files changed, 0 insertions, 152 deletions
diff --git a/tests/validation_old/ReferenceCPP.cpp b/tests/validation_old/ReferenceCPP.cpp deleted file mode 100644 index 4d6141a383..0000000000 --- a/tests/validation_old/ReferenceCPP.cpp +++ /dev/null @@ -1,152 +0,0 @@ -/* - * 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 "ReferenceCPP.h" - -#include "TensorFactory.h" -#include "TensorOperations.h" -#include "TensorVisitors.h" - -#include "arm_compute/core/Coordinates.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/runtime/Tensor.h" -#include "utils/TypePrinter.h" - -#include "tests/validation_old/boost_wrapper.h" - -#include <algorithm> -#include <functional> -#include <memory> -#include <numeric> -#include <vector> - -using namespace arm_compute::test::validation::tensor_visitors; - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -// Harris corners -void ReferenceCPP::harris_corners(RawTensor &src, RawTensor &Gx, RawTensor &Gy, const RawTensor &candidates, const RawTensor &non_maxima, float threshold, float min_dist, float sensitivity, - int32_t gradient_size, int32_t block_size, KeyPointArray &corners, BorderMode border_mode, uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || (Gx.data_type() != DataType::S16 && Gx.data_type() != DataType::S32) || (Gy.data_type() != DataType::S16 && Gy.data_type() != DataType::S32) - || candidates.data_type() != DataType::F32 || non_maxima.data_type() != DataType::F32); - - Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<float> c(candidates.shape(), candidates.data_type(), candidates.fixed_point_position(), const_cast<float *>(reinterpret_cast<const float *>(candidates.data()))); // NOLINT - Tensor<float> nm(non_maxima.shape(), non_maxima.data_type(), non_maxima.fixed_point_position(), const_cast<float *>(reinterpret_cast<const float *>(non_maxima.data()))); // NOLINT - - if(gradient_size == 7) - { - Tensor<int32_t> gx(Gx.shape(), Gx.data_type(), Gx.fixed_point_position(), reinterpret_cast<int32_t *>(Gx.data())); - Tensor<int32_t> gy(Gy.shape(), Gy.data_type(), Gy.fixed_point_position(), reinterpret_cast<int32_t *>(Gy.data())); - tensor_operations::harris_corners(s, gx, gy, c, nm, threshold, min_dist, sensitivity, gradient_size, block_size, corners, border_mode, constant_border_value); - } - else - { - Tensor<int16_t> gx(Gx.shape(), Gx.data_type(), Gx.fixed_point_position(), reinterpret_cast<int16_t *>(Gx.data())); - Tensor<int16_t> gy(Gy.shape(), Gy.data_type(), Gy.fixed_point_position(), reinterpret_cast<int16_t *>(Gy.data())); - tensor_operations::harris_corners(s, gx, gy, c, nm, threshold, min_dist, sensitivity, gradient_size, block_size, corners, border_mode, constant_border_value); - } -} - -// Absolute difference -void ReferenceCPP::absolute_difference(const RawTensor &src1, const RawTensor &src2, RawTensor &dst) -{ - const TensorVariant s1 = TensorFactory::get_tensor(src1); - const TensorVariant s2 = TensorFactory::get_tensor(src2); - TensorVariant d = TensorFactory::get_tensor(dst); - boost::apply_visitor(absolute_difference_visitor(), s1, s2, d); -} - -// Integral image -void ReferenceCPP::integral_image(const RawTensor &src, RawTensor &dst) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U32); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<uint32_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint32_t *>(dst.data())); - tensor_operations::integral_image(s, d); -} - -// Accumulate -void ReferenceCPP::accumulate(const RawTensor &src, RawTensor &dst) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::S16); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<int16_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<int16_t *>(dst.data())); - tensor_operations::accumulate(s, d); -} - -// Accumulate squared -void ReferenceCPP::accumulate_squared(const RawTensor &src, RawTensor &dst, uint32_t shift) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::S16); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<int16_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<int16_t *>(dst.data())); - tensor_operations::accumulate_squared(s, d, shift); -} - -// Accumulate weighted -void ReferenceCPP::accumulate_weighted(const RawTensor &src, RawTensor &dst, float alpha) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<uint8_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data())); - tensor_operations::accumulate_weighted(s, d, alpha); -} - -// Non linear filter -void ReferenceCPP::non_linear_filter(const RawTensor &src, RawTensor &dst, NonLinearFilterFunction function, unsigned int mask_size, - MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<uint8_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data())); - tensor_operations::non_linear_filter(s, d, function, mask_size, pattern, mask, border_mode, constant_border_value); -} - -// Threshold -void ReferenceCPP::threshold(const RawTensor &src, RawTensor &dst, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<uint8_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data())); - tensor_operations::threshold(s, d, threshold, false_value, true_value, type, upper); -} - -// ROI Pooling Layer -void ReferenceCPP::roi_pooling_layer(const RawTensor &src, RawTensor &dst, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info) -{ - const TensorVariant s = TensorFactory::get_tensor(src); - TensorVariant d = TensorFactory::get_tensor(dst); - boost::apply_visitor(tensor_visitors::roi_pooling_layer_visitor(s, rois, pool_info), d); -} - -} // namespace validation -} // namespace test -} // namespace arm_compute |