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Diffstat (limited to 'tests/validation_old/Reference.cpp')
| -rw-r--r-- | tests/validation_old/Reference.cpp | 510 |
1 files changed, 510 insertions, 0 deletions
diff --git a/tests/validation_old/Reference.cpp b/tests/validation_old/Reference.cpp new file mode 100644 index 0000000000..9099820929 --- /dev/null +++ b/tests/validation_old/Reference.cpp @@ -0,0 +1,510 @@ +/* + * 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 +{ +std::pair<RawTensor, RawTensor> Reference::compute_reference_sobel_3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, Format::U8); + RawTensor ref_dst_x(shape, Format::S16); + RawTensor ref_dst_y(shape, Format::S16); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::sobel_3x3(ref_src, ref_dst_x, ref_dst_y, border_mode, constant_border_value); + + return std::make_pair(ref_dst_x, ref_dst_y); +} + +std::pair<RawTensor, RawTensor> Reference::compute_reference_sobel_5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, Format::U8); + RawTensor ref_dst_x(shape, Format::S16); + RawTensor ref_dst_y(shape, Format::S16); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::sobel_5x5(ref_src, ref_dst_x, ref_dst_y, border_mode, constant_border_value); + + return std::make_pair(ref_dst_x, ref_dst_y); +} +void Reference::compute_reference_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, + uint32_t &min_count, uint32_t &max_count) +{ + // Create reference + RawTensor ref_src(shape, dt_in); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::min_max_location(ref_src, min, max, min_loc, max_loc, min_count, max_count); +} + +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_integral_image(const TensorShape &shape) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U32); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::integral_image(ref_src, ref_dst); + + return ref_dst; +} + +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_arithmetic_addition(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy convert_policy, int fixed_point_position) +{ + // Create reference + RawTensor ref_src1(shape, dt_in0, 1, fixed_point_position); + RawTensor ref_src2(shape, dt_in1, 1, fixed_point_position); + RawTensor ref_dst(shape, dt_out, 1, fixed_point_position); + + // Fill reference + library->fill_tensor_uniform(ref_src1, 0); + library->fill_tensor_uniform(ref_src2, 1); + + // Compute reference + ReferenceCPP::arithmetic_addition(ref_src1, ref_src2, ref_dst, convert_policy); + + return ref_dst; +} + +RawTensor Reference::compute_reference_arithmetic_subtraction(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy convert_policy, int fixed_point_position) +{ + // Create reference + RawTensor ref_src1(shape, dt_in0, 1, fixed_point_position); + RawTensor ref_src2(shape, dt_in1, 1, fixed_point_position); + RawTensor ref_dst(shape, dt_out, 1, fixed_point_position); + + // Fill reference + library->fill_tensor_uniform(ref_src1, 0); + library->fill_tensor_uniform(ref_src2, 1); + + // Compute reference + ReferenceCPP::arithmetic_subtraction(ref_src1, ref_src2, ref_dst, convert_policy); + + return ref_dst; +} + +RawTensor Reference::compute_reference_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U8); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::box3x3(ref_src, ref_dst, border_mode, constant_border_value); + + return ref_dst; +} + +RawTensor Reference::compute_reference_depth_convert(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, + uint32_t shift, uint32_t fixed_point_position_in, uint32_t fixed_point_position_out) +{ + RawTensor ref_src(shape, dt_in, 1, fixed_point_position_in); + RawTensor ref_dst(shape, dt_out, 1, fixed_point_position_out); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::depth_convert(ref_src, ref_dst, policy, shift); + + return ref_dst; +} + +RawTensor Reference::compute_reference_gaussian3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U8); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::gaussian3x3(ref_src, ref_dst, border_mode, constant_border_value); + + return ref_dst; +} + +RawTensor Reference::compute_reference_gaussian5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U8); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::gaussian5x5(ref_src, ref_dst, border_mode, constant_border_value); + + return ref_dst; +} + +RawTensor Reference::compute_reference_non_linear_filter(const TensorShape &shape, NonLinearFilterFunction function, unsigned int mask_size, + MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U8); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::non_linear_filter(ref_src, ref_dst, function, mask_size, pattern, mask, border_mode, constant_border_value); + + return ref_dst; +} + +RawTensor Reference::compute_reference_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, + RoundingPolicy rounding_policy) +{ + // 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::pixel_wise_multiplication(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy); + + return ref_dst; +} + +RawTensor Reference::compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position, + ConvertPolicy convert_policy, RoundingPolicy rounding_policy) +{ + // Create reference + RawTensor ref_src1(shape, dt_in0, 1, fixed_point_position); + RawTensor ref_src2(shape, dt_in1, 1, fixed_point_position); + RawTensor ref_dst(shape, dt_out, 1, fixed_point_position); + + // Fill reference + library->fill_tensor_uniform(ref_src1, 0); + library->fill_tensor_uniform(ref_src2, 1); + + // Compute reference + ReferenceCPP::fixed_point_pixel_wise_multiplication(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy); + + return ref_dst; +} + +template <typename T> +RawTensor Reference::compute_reference_table_lookup(const TensorShape &shape, DataType dt_inout, std::map<T, T> &lut) +{ + // Create reference + RawTensor ref_src(shape, dt_inout); + RawTensor ref_dst(shape, dt_inout); + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::table_lookup(ref_src, ref_dst, lut); + + return ref_dst; +} +template RawTensor arm_compute::test::validation::Reference::compute_reference_table_lookup<uint8_t>(const TensorShape &shape, DataType dt_inout, std::map<uint8_t, uint8_t> &lut); +template RawTensor arm_compute::test::validation::Reference::compute_reference_table_lookup<int16_t>(const TensorShape &shape, DataType dt_inout, std::map<int16_t, int16_t> &lut); + +RawTensor Reference::compute_reference_threshold(const TensorShape &shape, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U8); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::threshold(ref_src, ref_dst, threshold, false_value, true_value, type, upper); + + return ref_dst; +} + +RawTensor Reference::compute_reference_warp_perspective(const TensorShape &shape, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, + uint8_t constant_border_value) +{ + // Create reference + RawTensor ref_src(shape, DataType::U8); + RawTensor ref_dst(shape, DataType::U8); + + // Fill reference + library->fill_tensor_uniform(ref_src, 0); + + // Compute reference + ReferenceCPP::warp_perspective(ref_src, ref_dst, valid_mask, matrix, policy, border_mode, constant_border_value); + + return ref_dst; +} + +RawTensor Reference::compute_reference_batch_normalization_layer(const TensorShape &shape0, const TensorShape &shape1, DataType dt, float epsilon, int fixed_point_position) +{ + // Create reference + RawTensor ref_src(shape0, dt, 1, fixed_point_position); + RawTensor ref_dst(shape0, dt, 1, fixed_point_position); + RawTensor ref_mean(shape1, dt, 1, fixed_point_position); + RawTensor ref_var(shape1, dt, 1, fixed_point_position); + RawTensor ref_beta(shape1, dt, 1, fixed_point_position); + RawTensor ref_gamma(shape1, dt, 1, fixed_point_position); + + // Fill tensors + switch(dt) + { + case DataType::QS8: + { + const std::pair<int8_t, int8_t> bounds = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position); + std::uniform_int_distribution<> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + case DataType::QS16: + { + const std::pair<int16_t, int16_t> bounds = get_batchnormalization_layer_test_bounds<int16_t>(fixed_point_position); + std::uniform_int_distribution<> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + case DataType::F16: + { + const std::pair<half_float::half, half_float::half> bounds = get_batchnormalization_layer_test_bounds<half_float::half>(); + std::uniform_real_distribution<> distribution(bounds.first, bounds.second); + std::uniform_real_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + case DataType::F32: + { + const std::pair<float, float> bounds = get_batchnormalization_layer_test_bounds<float>(); + std::uniform_real_distribution<> distribution(bounds.first, bounds.second); + std::uniform_real_distribution<> distribution_var(0, bounds.second); + fill_tensors(distribution, { 0, 1, 3, 4 }, &ref_src, &ref_mean, &ref_beta, &ref_gamma); + fill_tensors(distribution_var, { 0 }, &ref_var); + break; + } + default: + { + ARM_COMPUTE_ERROR("Not supported"); + break; + } + } + + // Compute reference + ReferenceCPP::batch_normalization_layer(ref_src, ref_dst, ref_mean, ref_var, ref_beta, ref_gamma, epsilon, fixed_point_position); + + 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; +} + +RawTensor Reference::compute_reference_fixed_point_operation(const TensorShape &shape, DataType dt_in, DataType dt_out, FixedPointOp op, int fixed_point_position) +{ + // Create reference + RawTensor ref_src(shape, dt_in, 1, fixed_point_position); + RawTensor ref_dst(shape, dt_out, 1, fixed_point_position); + + // Fill reference + int min = 0; + int max = 0; + switch(op) + { + case(FixedPointOp::INV_SQRT): + min = 1; + max = (dt_in == DataType::QS8) ? 0x7F : 0x7FFF; + break; + case(FixedPointOp::LOG): + min = (1 << (fixed_point_position - 1)); + max = (dt_in == DataType::QS8) ? 0x3F : 0x3FFF; + break; + case(FixedPointOp::EXP): + min = -(1 << (fixed_point_position - 1)); + max = (1 << (fixed_point_position - 1)); + break; + case(FixedPointOp::RECIPROCAL): + min = 15; + max = (dt_in == DataType::QS8) ? 0x7F : 0x7FFF; + break; + default: + ARM_COMPUTE_ERROR("Fixed point operation not supported"); + } + std::uniform_int_distribution<> distribution(min, max); + library->fill(ref_src, distribution, 0); + + // Compute reference + ReferenceCPP::fixed_point_operation(ref_src, ref_dst, op); + + return ref_dst; +} + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* DOXYGEN_SKIP_THIS */ |