diff options
Diffstat (limited to 'tests/validation_new/Validation.cpp')
-rw-r--r-- | tests/validation_new/Validation.cpp | 307 |
1 files changed, 0 insertions, 307 deletions
diff --git a/tests/validation_new/Validation.cpp b/tests/validation_new/Validation.cpp deleted file mode 100644 index fec7c10939..0000000000 --- a/tests/validation_new/Validation.cpp +++ /dev/null @@ -1,307 +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. - */ -#include "Validation.h" - -#include "arm_compute/core/Coordinates.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/runtime/Tensor.h" -#include "tests/validation/half.h" - -#include <array> -#include <cmath> -#include <cstddef> -#include <cstdint> - -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!"); - } -} - -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 }; - - if(id.x() < 0) - { - border_id.set(0, 0); - } - else if(static_cast<size_t>(id.x()) >= tensor.shape().x()) - { - border_id.set(0, tensor.shape().x() - 1); - } - - if(id.y() < 0) - { - border_id.set(1, 0); - } - else if(static_cast<size_t>(id.y()) >= tensor.shape().y()) - { - border_id.set(1, tensor.shape().y() - 1); - } - - 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 reference = get_double_data(static_cast<const uint8_t *>(border_value) + channel_offset, tensor.data_type()); - - if(!compare<AbsoluteTolerance<double>, double>(target, reference)) - { - ARM_COMPUTE_TEST_INFO("id = " << id); - ARM_COMPUTE_TEST_INFO("channel = " << channel); - ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << target); - ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << reference); - ARM_COMPUTE_EXPECT_EQUAL(target, reference, framework::LogLevel::DEBUG); - - ++num_mismatches; - } - - ++num_elements; - } -} -} // namespace - -void validate(const arm_compute::ValidRegion ®ion, const arm_compute::ValidRegion &reference) -{ - ARM_COMPUTE_EXPECT_EQUAL(region.anchor.num_dimensions(), reference.anchor.num_dimensions(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT_EQUAL(region.shape.num_dimensions(), reference.shape.num_dimensions(), framework::LogLevel::ERRORS); - - for(unsigned int d = 0; d < region.anchor.num_dimensions(); ++d) - { - ARM_COMPUTE_EXPECT_EQUAL(region.anchor[d], reference.anchor[d], framework::LogLevel::ERRORS); - } - - for(unsigned int d = 0; d < region.shape.num_dimensions(); ++d) - { - ARM_COMPUTE_EXPECT_EQUAL(region.shape[d], reference.shape[d], framework::LogLevel::ERRORS); - } -} - -void validate(const arm_compute::PaddingSize &padding, const arm_compute::PaddingSize &reference) -{ - ARM_COMPUTE_EXPECT_EQUAL(padding.top, reference.top, framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT_EQUAL(padding.right, reference.right, framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT_EQUAL(padding.bottom, reference.bottom, framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT_EQUAL(padding.left, reference.left, framework::LogLevel::ERRORS); -} - -void validate(const IAccessor &tensor, const void *reference_value) -{ - ARM_COMPUTE_ASSERT(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 reference = get_double_data(reference_value, tensor.data_type()); - - if(!compare<AbsoluteTolerance<double>, double>(target, reference)) - { - ARM_COMPUTE_TEST_INFO("id = " << id); - ARM_COMPUTE_TEST_INFO("channel = " << channel); - ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << target); - ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << reference); - ARM_COMPUTE_EXPECT_EQUAL(target, reference, framework::LogLevel::DEBUG); - - ++num_mismatches; - } - - ++num_elements; - } - } - - if(num_elements > 0) - { - const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f; - - ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches << "%) mismatched"); - ARM_COMPUTE_EXPECT_EQUAL(num_mismatches, 0, framework::LogLevel::ERRORS); - } -} - -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) - { - ARM_COMPUTE_ASSERT(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); - } - } - } - - if(num_elements > 0) - { - const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f; - - ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches << "%) mismatched"); - ARM_COMPUTE_EXPECT_EQUAL(num_mismatches, 0, framework::LogLevel::ERRORS); - } -} - -void validate(std::vector<unsigned int> classified_labels, std::vector<unsigned int> expected_labels) -{ - ARM_COMPUTE_EXPECT_EQUAL(classified_labels.size(), expected_labels.size(), framework::LogLevel::ERRORS); - - for(unsigned int i = 0; i < expected_labels.size(); ++i) - { - ARM_COMPUTE_EXPECT_EQUAL(classified_labels[i], expected_labels[i], framework::LogLevel::ERRORS); - } -} -} // namespace validation -} // namespace test -} // namespace arm_compute |