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Diffstat (limited to 'tests/validation_old/Validation.cpp')
| -rw-r--r-- | tests/validation_old/Validation.cpp | 477 |
1 files changed, 477 insertions, 0 deletions
diff --git a/tests/validation_old/Validation.cpp b/tests/validation_old/Validation.cpp new file mode 100644 index 0000000000..8f173ba962 --- /dev/null +++ b/tests/validation_old/Validation.cpp @@ -0,0 +1,477 @@ +/* + * 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 "Validation.h" + +#include "arm_compute/core/Coordinates.h" +#include "arm_compute/core/Error.h" +#include "arm_compute/core/FixedPoint.h" +#include "arm_compute/core/IArray.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/runtime/Tensor.h" +#include "tests/IAccessor.h" +#include "tests/RawTensor.h" +#include "tests/TypePrinter.h" +#include "tests/Utils.h" +#include "tests/validation_old/half.h" + +#include <array> +#include <cmath> +#include <cstddef> +#include <cstdint> +#include <iomanip> +#include <vector> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Get the data from *ptr after casting according to @p data_type and then convert the data to double. + * + * @param[in] ptr Pointer to value. + * @param[in] data_type Data type of both values. + * + * @return The data from the ptr after converted to double. + */ +double get_double_data(const void *ptr, DataType data_type) +{ + if(ptr == nullptr) + { + ARM_COMPUTE_ERROR("Can't dereference a null pointer!"); + } + + switch(data_type) + { + case DataType::U8: + return *reinterpret_cast<const uint8_t *>(ptr); + case DataType::S8: + return *reinterpret_cast<const int8_t *>(ptr); + case DataType::QS8: + return *reinterpret_cast<const qint8_t *>(ptr); + case DataType::U16: + return *reinterpret_cast<const uint16_t *>(ptr); + case DataType::S16: + return *reinterpret_cast<const int16_t *>(ptr); + case DataType::QS16: + return *reinterpret_cast<const qint16_t *>(ptr); + case DataType::U32: + return *reinterpret_cast<const uint32_t *>(ptr); + case DataType::S32: + return *reinterpret_cast<const int32_t *>(ptr); + case DataType::U64: + return *reinterpret_cast<const uint64_t *>(ptr); + case DataType::S64: + return *reinterpret_cast<const int64_t *>(ptr); + case DataType::F16: + return *reinterpret_cast<const half_float::half *>(ptr); + case DataType::F32: + return *reinterpret_cast<const float *>(ptr); + case DataType::F64: + return *reinterpret_cast<const double *>(ptr); + case DataType::SIZET: + return *reinterpret_cast<const size_t *>(ptr); + default: + ARM_COMPUTE_ERROR("NOT SUPPORTED!"); + } +} + +bool is_equal(double target, double ref, double max_absolute_error = std::numeric_limits<double>::epsilon(), double max_relative_error = 0.0001f) +{ + if(!std::isfinite(target) || !std::isfinite(ref)) + { + return false; + } + + // No need further check if they are equal + if(ref == target) + { + return true; + } + + // Need this check for the situation when the two values close to zero but have different sign + if(std::abs(std::abs(ref) - std::abs(target)) <= max_absolute_error) + { + return true; + } + + double relative_error = 0; + + if(std::abs(target) > std::abs(ref)) + { + relative_error = std::abs((target - ref) / target); + } + else + { + relative_error = std::abs((ref - target) / ref); + } + + return relative_error <= max_relative_error; +} + +void check_border_element(const IAccessor &tensor, const Coordinates &id, + const BorderMode &border_mode, const void *border_value, + int64_t &num_elements, int64_t &num_mismatches) +{ + const size_t channel_size = element_size_from_data_type(tensor.data_type()); + const auto ptr = static_cast<const uint8_t *>(tensor(id)); + + if(border_mode == BorderMode::REPLICATE) + { + Coordinates border_id{ id }; + border_id.set(1, 0); + border_value = tensor(border_id); + } + + // Iterate over all channels within one element + for(int channel = 0; channel < tensor.num_channels(); ++channel) + { + const size_t channel_offset = channel * channel_size; + const double target = get_double_data(ptr + channel_offset, tensor.data_type()); + const double ref = get_double_data(static_cast<const uint8_t *>(border_value) + channel_offset, tensor.data_type()); + const bool equal = is_equal(target, ref); + + BOOST_TEST_INFO("id = " << id); + BOOST_TEST_INFO("channel = " << channel); + BOOST_TEST_INFO("reference = " << std::setprecision(5) << ref); + BOOST_TEST_INFO("target = " << std::setprecision(5) << target); + BOOST_TEST_WARN(equal); + + if(!equal) + { + ++num_mismatches; + } + + ++num_elements; + } +} + +void check_single_element(const Coordinates &id, const IAccessor &tensor, const RawTensor &reference, float tolerance_value, + uint64_t wrap_range, int min_channels, size_t channel_size, int64_t &num_mismatches, int64_t &num_elements) +{ + const auto ptr = static_cast<const uint8_t *>(tensor(id)); + const auto ref_ptr = static_cast<const uint8_t *>(reference(id)); + + // Iterate over all channels within one element + for(int channel = 0; channel < min_channels; ++channel) + { + const size_t channel_offset = channel * channel_size; + const double target = get_double_data(ptr + channel_offset, reference.data_type()); + const double ref = get_double_data(ref_ptr + channel_offset, reference.data_type()); + bool equal = is_equal(target, ref, tolerance_value); + + if(wrap_range != 0 && !equal) + { + equal = is_equal(target, ref, wrap_range - tolerance_value); + } + + if(!equal) + { + BOOST_TEST_INFO("id = " << id); + BOOST_TEST_INFO("channel = " << channel); + BOOST_TEST_INFO("reference = " << std::setprecision(5) << ref); + BOOST_TEST_INFO("target = " << std::setprecision(5) << target); + BOOST_TEST_WARN(equal); + ++num_mismatches; + } + ++num_elements; + } +} +} // namespace + +void validate(const arm_compute::ValidRegion ®ion, const arm_compute::ValidRegion &reference) +{ + BOOST_TEST(region.anchor.num_dimensions() == reference.anchor.num_dimensions()); + BOOST_TEST(region.shape.num_dimensions() == reference.shape.num_dimensions()); + + for(unsigned int d = 0; d < region.anchor.num_dimensions(); ++d) + { + BOOST_TEST(region.anchor[d] == reference.anchor[d]); + } + + for(unsigned int d = 0; d < region.shape.num_dimensions(); ++d) + { + BOOST_TEST(region.shape[d] == reference.shape[d]); + } +} + +void validate(const arm_compute::PaddingSize &padding, const arm_compute::PaddingSize &reference) +{ + BOOST_TEST(padding.top == reference.top); + BOOST_TEST(padding.right == reference.right); + BOOST_TEST(padding.bottom == reference.bottom); + BOOST_TEST(padding.left == reference.left); +} + +void validate(const IAccessor &tensor, const RawTensor &reference, float tolerance_value, float tolerance_number, uint64_t wrap_range) +{ + // Validate with valid region covering the entire shape + validate(tensor, reference, shape_to_valid_region(tensor.shape()), tolerance_value, tolerance_number, wrap_range); +} + +void validate(const IAccessor &tensor, const RawTensor &reference, const ValidRegion &valid_region, float tolerance_value, float tolerance_number, uint64_t wrap_range) +{ + int64_t num_mismatches = 0; + int64_t num_elements = 0; + + BOOST_TEST(tensor.element_size() == reference.element_size()); + BOOST_TEST(tensor.format() == reference.format()); + BOOST_TEST(tensor.data_type() == reference.data_type()); + BOOST_TEST(tensor.num_channels() == reference.num_channels()); + BOOST_TEST(compare_dimensions(tensor.shape(), reference.shape())); + + const int min_elements = std::min(tensor.num_elements(), reference.num_elements()); + const int min_channels = std::min(tensor.num_channels(), reference.num_channels()); + const size_t channel_size = element_size_from_data_type(reference.data_type()); + + // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ... + for(int element_idx = 0; element_idx < min_elements; ++element_idx) + { + const Coordinates id = index2coord(reference.shape(), element_idx); + if(is_in_valid_region(valid_region, id)) + { + check_single_element(id, tensor, reference, tolerance_value, wrap_range, min_channels, channel_size, num_mismatches, num_elements); + } + } + + const int64_t absolute_tolerance_number = tolerance_number * num_elements; + const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f; + + BOOST_TEST(num_mismatches <= absolute_tolerance_number, + num_mismatches << " values (" << std::setprecision(2) << percent_mismatches + << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number << "%)"); +} + +void validate(const IAccessor &tensor, const RawTensor &reference, const RawTensor &valid_mask, float tolerance_value, float tolerance_number, uint64_t wrap_range) +{ + int64_t num_mismatches = 0; + int64_t num_elements = 0; + + BOOST_TEST(tensor.element_size() == reference.element_size()); + BOOST_TEST(tensor.format() == reference.format()); + BOOST_TEST(tensor.data_type() == reference.data_type()); + BOOST_TEST(tensor.num_channels() == reference.num_channels()); + BOOST_TEST(compare_dimensions(tensor.shape(), reference.shape())); + + const int min_elements = std::min(tensor.num_elements(), reference.num_elements()); + const int min_channels = std::min(tensor.num_channels(), reference.num_channels()); + const size_t channel_size = element_size_from_data_type(reference.data_type()); + + // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ... + for(int element_idx = 0; element_idx < min_elements; ++element_idx) + { + const Coordinates id = index2coord(reference.shape(), element_idx); + if(valid_mask[element_idx] == 1) + { + check_single_element(id, tensor, reference, tolerance_value, wrap_range, min_channels, channel_size, num_mismatches, num_elements); + } + else + { + ++num_elements; + } + } + + const int64_t absolute_tolerance_number = tolerance_number * num_elements; + const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f; + + BOOST_TEST(num_mismatches <= absolute_tolerance_number, + num_mismatches << " values (" << std::setprecision(2) << percent_mismatches + << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number << "%)"); +} + +void validate(const IAccessor &tensor, const void *reference_value) +{ + BOOST_TEST_REQUIRE((reference_value != nullptr)); + + int64_t num_mismatches = 0; + int64_t num_elements = 0; + const size_t channel_size = element_size_from_data_type(tensor.data_type()); + + // Iterate over all elements, e.g. U8, S16, RGB888, ... + for(int element_idx = 0; element_idx < tensor.num_elements(); ++element_idx) + { + const Coordinates id = index2coord(tensor.shape(), element_idx); + + const auto ptr = static_cast<const uint8_t *>(tensor(id)); + + // Iterate over all channels within one element + for(int channel = 0; channel < tensor.num_channels(); ++channel) + { + const size_t channel_offset = channel * channel_size; + const double target = get_double_data(ptr + channel_offset, tensor.data_type()); + const double ref = get_double_data(reference_value, tensor.data_type()); + const bool equal = is_equal(target, ref); + + BOOST_TEST_INFO("id = " << id); + BOOST_TEST_INFO("channel = " << channel); + BOOST_TEST_INFO("reference = " << std::setprecision(5) << ref); + BOOST_TEST_INFO("target = " << std::setprecision(5) << target); + BOOST_TEST_WARN(equal); + + if(!equal) + { + ++num_mismatches; + } + + ++num_elements; + } + } + + const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f; + + BOOST_TEST(num_mismatches == 0, + num_mismatches << " values (" << std::setprecision(2) << percent_mismatches << "%) mismatched"); +} + +void validate(const IAccessor &tensor, BorderSize border_size, const BorderMode &border_mode, const void *border_value) +{ + if(border_mode == BorderMode::UNDEFINED) + { + return; + } + else if(border_mode == BorderMode::CONSTANT) + { + BOOST_TEST((border_value != nullptr)); + } + + int64_t num_mismatches = 0; + int64_t num_elements = 0; + const int slice_size = tensor.shape()[0] * tensor.shape()[1]; + + for(int element_idx = 0; element_idx < tensor.num_elements(); element_idx += slice_size) + { + Coordinates id = index2coord(tensor.shape(), element_idx); + + // Top border + for(int y = -border_size.top; y < 0; ++y) + { + id.set(1, y); + + for(int x = -border_size.left; x < static_cast<int>(tensor.shape()[0]) + static_cast<int>(border_size.right); ++x) + { + id.set(0, x); + + check_border_element(tensor, id, border_mode, border_value, num_elements, num_mismatches); + } + } + + // Bottom border + for(int y = tensor.shape()[1]; y < static_cast<int>(tensor.shape()[1]) + static_cast<int>(border_size.bottom); ++y) + { + id.set(1, y); + + for(int x = -border_size.left; x < static_cast<int>(tensor.shape()[0]) + static_cast<int>(border_size.right); ++x) + { + id.set(0, x); + + check_border_element(tensor, id, border_mode, border_value, num_elements, num_mismatches); + } + } + + // Left/right border + for(int y = 0; y < static_cast<int>(tensor.shape()[1]); ++y) + { + id.set(1, y); + + // Left border + for(int x = -border_size.left; x < 0; ++x) + { + id.set(0, x); + + check_border_element(tensor, id, border_mode, border_value, num_elements, num_mismatches); + } + + // Right border + for(int x = tensor.shape()[0]; x < static_cast<int>(tensor.shape()[0]) + static_cast<int>(border_size.right); ++x) + { + id.set(0, x); + + check_border_element(tensor, id, border_mode, border_value, num_elements, num_mismatches); + } + } + } + + const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f; + + BOOST_TEST(num_mismatches == 0, + num_mismatches << " values (" << std::setprecision(2) << percent_mismatches << "%) mismatched"); +} + +void validate(std::vector<unsigned int> classified_labels, std::vector<unsigned int> expected_labels) +{ + ARM_COMPUTE_UNUSED(classified_labels); + ARM_COMPUTE_UNUSED(expected_labels); + BOOST_TEST(expected_labels.size() != 0); + BOOST_TEST(classified_labels.size() == expected_labels.size()); + + for(unsigned int i = 0; i < expected_labels.size(); ++i) + { + BOOST_TEST(classified_labels[i] == expected_labels[i]); + } +} + +void validate(float target, float ref, float tolerance_abs_error, float tolerance_relative_error) +{ + const bool equal = is_equal(target, ref, tolerance_abs_error, tolerance_relative_error); + + BOOST_TEST_INFO("reference = " << std::setprecision(5) << ref); + BOOST_TEST_INFO("target = " << std::setprecision(5) << target); + BOOST_TEST(equal); +} + +void validate(IArray<KeyPoint> &target, IArray<KeyPoint> &ref, int64_t tolerance) +{ + int64_t num_mismatches = 0; + + BOOST_TEST_WARN(target.num_values() == ref.num_values()); + + for(size_t i = 0; i < target.num_values(); ++i) + { + KeyPoint *ref_val = std::find_if(ref.buffer(), ref.buffer() + ref.num_values(), [&target, i](KeyPoint key) + { + return key.x == target.at(i).x && key.y == target.at(i).y; + }); + + const KeyPoint &key = target.at(i); + + if((ref_val == ref.buffer() + ref.num_values()) || !(is_equal(key.strength, ref_val->strength) && is_equal(key.scale, ref_val->scale) && is_equal(key.orientation, ref_val->orientation) + && is_equal(key.tracking_status, ref_val->tracking_status) && is_equal(key.error, ref_val->error))) + { + ++num_mismatches; + + BOOST_TEST_WARN(is_equal(key.strength, ref_val->strength)); + BOOST_TEST_WARN(is_equal(key.scale, ref_val->scale)); + BOOST_TEST_WARN(is_equal(key.orientation, ref_val->orientation)); + BOOST_TEST_WARN(is_equal(key.tracking_status, ref_val->tracking_status)); + BOOST_TEST_WARN(is_equal(key.error, ref_val->error)); + } + } + + BOOST_TEST(num_mismatches <= tolerance); +} +} // namespace validation +} // namespace test +} // namespace arm_compute |