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-rw-r--r--tests/validation_new/Validation.cpp307
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diff --git a/tests/validation_new/Validation.cpp b/tests/validation_new/Validation.cpp
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--- a/tests/validation_new/Validation.cpp
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-/*
- * 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 &region, 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
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