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-rw-r--r--tests/validation/CL/YOLOLayer.cpp140
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diff --git a/tests/validation/CL/YOLOLayer.cpp b/tests/validation/CL/YOLOLayer.cpp
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-/*
- * Copyright (c) 2018-2019 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 "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CL/CLTensorAllocator.h"
-#include "arm_compute/runtime/CL/functions/CLYOLOLayer.h"
-#include "tests/CL/CLAccessor.h"
-#include "tests/PaddingCalculator.h"
-#include "tests/datasets/ActivationFunctionsDataset.h"
-#include "tests/datasets/ShapeDatasets.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Macros.h"
-#include "tests/framework/datasets/Datasets.h"
-#include "tests/validation/Validation.h"
-#include "tests/validation/fixtures/YOLOLayerFixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-constexpr AbsoluteTolerance<float> tolerance_f32(1e-6f);
-constexpr RelativeTolerance<float> tolerance_f16(0.01f);
-
-/** Floating point data sets. */
-const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), framework::dataset::make("ActivationFunction",
- ActivationLayerInfo::ActivationFunction::LOGISTIC)),
- framework::dataset::make("AlphaBeta", { 0.5f, 1.f })),
- framework::dataset::make("Classes", 40)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
-} // namespace
-
-TEST_SUITE(CL)
-TEST_SUITE(YOLOLayer)
-
-// *INDENT-OFF*
-// clang-format off
-DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), // Wrong input data type
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Invalid activation info
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Wrong output data type
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // wrong number of classes
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Mismatching shapes
- TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), // Shrink window
- TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), // Channels not multiple of (num_classes + 5)
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Valid
- }),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16),
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
- TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32),
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
- TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32),
- TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
- })),
- framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
- })),
- framework::dataset::make("Numclasses", { 1, 1, 1, 0, 1, 1, 1, 1
- })),
- framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})),
- input_info, output_info, act_info, num_classes, expected)
-{
- ARM_COMPUTE_EXPECT(bool(CLYOLOLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), act_info, num_classes)) == expected, framework::LogLevel::ERRORS);
-}
-// clang-format on
-// *INDENT-ON*
-
-template <typename T>
-using CLYOLOLayerFixture = YOLOValidationFixture<CLTensor, CLAccessor, CLYOLOLayer, T>;
-
-TEST_SUITE(Float)
-TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
- DataType::F32)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_f32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
- DataType::F32)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_f32);
-}
-TEST_SUITE_END() // FP32
-
-TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
- DataType::F16)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_f16);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
- DataType::F16)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_f16);
-}
-TEST_SUITE_END() // FP16
-TEST_SUITE_END() // Float
-
-TEST_SUITE_END() // YOLOLayer
-TEST_SUITE_END() // CL
-} // namespace validation
-} // namespace test
-} // namespace arm_compute