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Diffstat (limited to 'tests/validation_old/ReferenceCPP.cpp')
| -rw-r--r-- | tests/validation_old/ReferenceCPP.cpp | 294 |
1 files changed, 294 insertions, 0 deletions
diff --git a/tests/validation_old/ReferenceCPP.cpp b/tests/validation_old/ReferenceCPP.cpp new file mode 100644 index 0000000000..31c170a040 --- /dev/null +++ b/tests/validation_old/ReferenceCPP.cpp @@ -0,0 +1,294 @@ +/* + * 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 "TypePrinter.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 "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 +{ +// Sobel 3x3 +void ReferenceCPP::sobel_3x3(RawTensor &src, RawTensor &dst_x, RawTensor &dst_y, BorderMode border_mode, uint8_t constant_border_value) +{ + ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst_x.data_type() != DataType::S16 || dst_y.data_type() != DataType::S16); + Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); + Tensor<int16_t> dx(dst_x.shape(), dst_x.data_type(), dst_x.fixed_point_position(), reinterpret_cast<int16_t *>(dst_x.data())); + Tensor<int16_t> dy(dst_y.shape(), dst_y.data_type(), dst_y.fixed_point_position(), reinterpret_cast<int16_t *>(dst_y.data())); + tensor_operations::sobel_3x3(s, dx, dy, border_mode, constant_border_value); +} + +// Sobel 5x5 +void ReferenceCPP::sobel_5x5(RawTensor &src, RawTensor &dst_x, RawTensor &dst_y, BorderMode border_mode, uint8_t constant_border_value) +{ + ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst_x.data_type() != DataType::S16 || dst_y.data_type() != DataType::S16); + Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); + Tensor<int16_t> dx(dst_x.shape(), dst_x.data_type(), dst_x.fixed_point_position(), reinterpret_cast<int16_t *>(dst_x.data())); + Tensor<int16_t> dy(dst_y.shape(), dst_y.data_type(), dst_y.fixed_point_position(), reinterpret_cast<int16_t *>(dst_y.data())); + tensor_operations::sobel_5x5(s, dx, dy, border_mode, constant_border_value); +} + +// 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); + } +} + +// Minimum maximum location +void ReferenceCPP::min_max_location(const RawTensor &src, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, uint32_t &min_count, uint32_t &max_count) +{ + const TensorVariant s = TensorFactory::get_tensor(src); + boost::apply_visitor(tensor_visitors::min_max_location_visitor(min, max, min_loc, max_loc, min_count, max_count), s); +} + +// 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); +} + +// Arithmetic addition +void ReferenceCPP::arithmetic_addition(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, ConvertPolicy convert_policy) +{ + const TensorVariant s1 = TensorFactory::get_tensor(src1); + const TensorVariant s2 = TensorFactory::get_tensor(src2); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(arithmetic_addition_visitor(convert_policy), s1, s2, d); +} + +// Arithmetic subtraction +void ReferenceCPP::arithmetic_subtraction(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, ConvertPolicy convert_policy) +{ + const TensorVariant s1 = TensorFactory::get_tensor(src1); + const TensorVariant s2 = TensorFactory::get_tensor(src2); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(arithmetic_subtraction_visitor(convert_policy), s1, s2, d); +} + +// Box3x3 filter +void ReferenceCPP::box3x3(const RawTensor &src, RawTensor &dst, 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::box3x3(s, d, border_mode, constant_border_value); +} + +// Depth conversion +void ReferenceCPP::depth_convert(const RawTensor &src, RawTensor &dst, ConvertPolicy policy, uint32_t shift) +{ + const TensorVariant s = TensorFactory::get_tensor(src); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(tensor_visitors::depth_convert_visitor(policy, shift), s, d); +} + +// Gaussian3x3 filter +void ReferenceCPP::gaussian3x3(const RawTensor &src, RawTensor &dst, 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::gaussian3x3(s, d, border_mode, constant_border_value); +} + +// Gaussian5x5 filter +void ReferenceCPP::gaussian5x5(const RawTensor &src, RawTensor &dst, 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::gaussian5x5(s, d, border_mode, constant_border_value); +} + +// 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); +} + +// Pixel-wise multiplication +void ReferenceCPP::pixel_wise_multiplication(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy) +{ + const TensorVariant s1 = TensorFactory::get_tensor(src1); + const TensorVariant s2 = TensorFactory::get_tensor(src2); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(pixel_wise_multiplication_visitor(scale, convert_policy, rounding_policy), s1, s2, d); +} + +// Fixed-point Pixel-wise multiplication +void ReferenceCPP::fixed_point_pixel_wise_multiplication(const RawTensor &src1, const RawTensor &src2, RawTensor &dst, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy) +{ + const TensorVariant s1 = TensorFactory::get_tensor(src1); + const TensorVariant s2 = TensorFactory::get_tensor(src2); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(tensor_visitors::fixed_point_pixel_wise_multiplication_visitor(s1, s2, scale, convert_policy, rounding_policy), d); +} + +// Table lookup +template <typename T> +void ReferenceCPP::table_lookup(const RawTensor &src, RawTensor &dst, std::map<T, T> &lut) +{ + const TensorVariant s = TensorFactory::get_tensor(src); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(tensor_visitors::table_lookup<T>(s, lut), d); +} +#ifndef DOXYGEN_SKIP_THIS +template void arm_compute::test::validation::ReferenceCPP::table_lookup<uint8_t>(const RawTensor &src, RawTensor &dst, std::map<uint8_t, uint8_t> &lut); +template void arm_compute::test::validation::ReferenceCPP::table_lookup<int16_t>(const RawTensor &src, RawTensor &dst, std::map<int16_t, int16_t> &lut); +#endif /* DOXYGEN_SKIP_THIS */ + +// 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); +} + +// Warp perspective +void ReferenceCPP::warp_perspective(const RawTensor &src, RawTensor &dst, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, 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<uint8_t> vmask(valid_mask.shape(), valid_mask.data_type(), valid_mask.fixed_point_position(), reinterpret_cast<uint8_t *>(valid_mask.data())); + tensor_operations::warp_perspective(s, d, vmask, matrix, policy, border_mode, constant_border_value); +} + +// Batch Normalization Layer +void ReferenceCPP::batch_normalization_layer(const RawTensor &src, RawTensor &dst, const RawTensor &mean, const RawTensor &var, const RawTensor &beta, const RawTensor &gamma, float epsilon, + int fixed_point_position) +{ + const TensorVariant s = TensorFactory::get_tensor(src); + TensorVariant d = TensorFactory::get_tensor(dst); + const TensorVariant m = TensorFactory::get_tensor(mean); + const TensorVariant v = TensorFactory::get_tensor(var); + const TensorVariant b = TensorFactory::get_tensor(beta); + const TensorVariant g = TensorFactory::get_tensor(gamma); + boost::apply_visitor(tensor_visitors::batch_normalization_layer_visitor(s, m, v, b, g, epsilon, fixed_point_position), d); +} + +// 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); +} + +// Fixed point operation +void ReferenceCPP::fixed_point_operation(const RawTensor &src, RawTensor &dst, FixedPointOp op) +{ + const TensorVariant s = TensorFactory::get_tensor(src); + TensorVariant d = TensorFactory::get_tensor(dst); + boost::apply_visitor(tensor_visitors::fixed_point_operation_visitor(s, op), d); +} + +} // namespace validation +} // namespace test +} // namespace arm_compute |