| /* |
| * 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_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 */ |