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Diffstat (limited to 'tests/validation_old/ReferenceCPP.h')
| -rw-r--r-- | tests/validation_old/ReferenceCPP.h | 139 |
1 files changed, 0 insertions, 139 deletions
diff --git a/tests/validation_old/ReferenceCPP.h b/tests/validation_old/ReferenceCPP.h deleted file mode 100644 index 79d0d698d6..0000000000 --- a/tests/validation_old/ReferenceCPP.h +++ /dev/null @@ -1,139 +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. - */ -#ifndef __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_CPP_H__ -#define __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_CPP_H__ - -#include "RawTensor.h" -#include "Reference.h" - -#include <map> -#include <memory> -#include <ostream> -#include <vector> - -namespace arm_compute -{ -class Tensor; - -namespace test -{ -namespace validation -{ -/** C++ reference implementation. */ -class ReferenceCPP final : public Reference -{ -public: - /** Function to compute reference Harris corners. - * - * @param[in] src Input tensor - * @param[in] Gx Tensor used to compute Sobel along the x axis - * @param[in] Gy Tensor used to compute Sobel along the y axis - * @param[in] candidates Tensor used to store candidate corners - * @param[in] non_maxima Tensor used to store non_maxima suppressed candidate corners - * @param[in] threshold Minimum threshold with which to eliminate Harris Corner scores (computed using the normalized Sobel kernel). - * @param[in] min_dist Radial Euclidean distance for the euclidean distance stage - * @param[in] sensitivity Sensitivity threshold k from the Harris-Stephens equation - * @param[in] gradient_size The gradient window size to use on the input. The implementation supports 3, 5, and 7 - * @param[in] block_size The block window size used to compute the Harris Corner score. The implementation supports 3, 5, and 7. - * @param[out] corners Array of keypoints to store the results. - * @param[in] border_mode Border mode to use - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - * - */ - static void 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); - /** Function to compute the integral image of a tensor. - * - * @param[in] src Input tensor. - * @param[out] dst Result tensor. - */ - static void integral_image(const RawTensor &src, RawTensor &dst); - /** Function to compute the absolute difference between two tensors. - * - * @param[in] src1 First tensor. - * @param[in] src2 Second tensor. - * @param[out] dst Result tensor. - */ - static void absolute_difference(const RawTensor &src1, const RawTensor &src2, RawTensor &dst); - /** Function to accumulate an input tensor into an output tensor. - * - * @param[in] src Input tensor. - * @param[in, out] dst Result tensor. - */ - static void accumulate(const RawTensor &src, RawTensor &dst); - /** Function to accumulate a squared value from an input tensor to an output tensor. - * - * @param[in] src Input tensor. - * @param[in, out] dst Result tensor. - * @param[in] shift A uint32_t value within the range of [0, 15] - */ - static void accumulate_squared(const RawTensor &src, RawTensor &dst, uint32_t shift); - /** Function to accumulate a weighted value from an input tensor to an output tensor. - * - * @param[in] src Input tensor. - * @param[in, out] dst Result tensor. - * @param[in] alpha A float value within the range of [0, 1] - */ - static void accumulate_weighted(const RawTensor &src, RawTensor &dst, float alpha); - /** Compute non linear filter function. - * - * @param[in] src First input tensor - * @param[out] dst Output tensor - * @param[in] function Non linear function to perform - * @param[in] mask_size Mask size. Supported sizes: 3, 5 - * @param[in] pattern Matrix pattern - * @param[in] mask The given mask. - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. - */ - static void 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 = 0); - /** Threshold of@p src to @p dst - * - * @param[in] src Input tensor. - * @param[out] dst Result tensor. - * @param[in] threshold Threshold. When the threhold type is RANGE, this is used as the lower threshold. - * @param[in] false_value value to set when the condition is not respected. - * @param[in] true_value value to set when the condition is respected. - * @param[in] type Thresholding type. Either RANGE or BINARY. - * @param[in] upper Upper threshold. Only used when the thresholding type is RANGE. - */ - static void threshold(const RawTensor &src, RawTensor &dst, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper); - /** ROI Pooling layer of @p src based on the information from @p pool_info and @p rois. - * - * @param[in] src Input tensor. - * @param[out] dst Result tensor. - * @param[in] rois Region of Interest points. - * @param[in] pool_info ROI Pooling Layer information. - */ - static void roi_pooling_layer(const RawTensor &src, RawTensor &dst, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info); - -private: - ReferenceCPP() = delete; - ~ReferenceCPP() = delete; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_CPP_H__ */ |