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Diffstat (limited to 'tests/validation_old/Reference.h')
| -rw-r--r-- | tests/validation_old/Reference.h | 108 |
1 files changed, 0 insertions, 108 deletions
diff --git a/tests/validation_old/Reference.h b/tests/validation_old/Reference.h deleted file mode 100644 index 7b4043c466..0000000000 --- a/tests/validation_old/Reference.h +++ /dev/null @@ -1,108 +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_H__ -#define __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_H__ - -#include "arm_compute/runtime/Array.h" -#include "tests/RawTensor.h" -#include "tests/Types.h" - -#include <map> -#include <vector> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -/** Interface for reference implementations. */ -class Reference -{ -public: - /** Compute reference Harris corners. - * - * @param[in] shape Shape of input tensor - * @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[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. - * - * @return Computed corners' keypoints. - */ - static KeyPointArray 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); - /** Compute reference absolute difference. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in0 Data type of first input tensor. - * @param[in] dt_in1 Data type of second input tensor. - * @param[in] dt_out Data type of the output tensor. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_absolute_difference(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out); - /** Compute reference accumulate. - * - * @param[in] shape Shape of the input and output tensors. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_accumulate(const TensorShape &shape); - /** Compute reference accumulate. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] shift A uint32_t value within the range of [0, 15] - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_accumulate_squared(const TensorShape &shape, uint32_t shift); - /** Compute reference accumulate. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] alpha A float value within the range of [0, 1] - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_accumulate_weighted(const TensorShape &shape, float alpha); - /** Compute reference roi pooling layer. - * - * @param[in] shape Shape of the input tensor. - * @param[in] dt Data type of input and output tensors. - * @param[in] rois Region of interest vector. - * @param[in] pool_info ROI Pooling Layer information. - */ - static RawTensor compute_reference_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info); - -protected: - Reference() = default; - ~Reference() = default; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_H__ */ |