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rk35xx-android14/external/ComputeLibrary/tests/validation/CL/Pooling3dLayer.cpp

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/*
* Copyright (c) 2022 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/TensorShape.h"
#include "tests/framework/datasets/Datasets.h"
#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/CLPooling3dLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/Pooling3dLayerDataset.h"
#include "tests/datasets/PoolingTypesDataset.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/Pooling3dLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
/** Input data sets for floating-point data types */
const auto Pooling3dLayerDatasetFP = combine(combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size3D(2, 3, 2) })),
framework::dataset::make("Stride", { Size3D(1, 1, 1), Size3D(2, 1, 1), Size3D(1, 2, 1), Size3D(2, 2, 1) })),
framework::dataset::make("Padding", { Padding3D(0, 1, 0), Padding3D(1, 1, 1) })),
framework::dataset::make("ExcludePadding", { true, false }));
const auto Pooling3dLayerDatasetFPSmall = combine(combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size3D(2, 2, 2), Size3D(3, 3, 3) })),
framework::dataset::make("Stride", { Size3D(2, 2, 2), Size3D(2, 1, 1) })),
framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 1), Padding3D(1, 0, 0) })),
framework::dataset::make("ExcludePadding", { true, false }));
const auto Pooling3DLayerDatasetQuantized = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }),
framework::dataset::make("PoolingSize", { Size3D(2, 3, 2) })),
framework::dataset::make("Stride", { Size3D(1, 1, 1), Size3D(2, 1, 1), Size3D(1, 2, 1), Size3D(1, 1, 2), Size3D(2, 2, 1)})),
framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 1), Padding3D(1, 0, 0) })),
framework::dataset::make("ExcludePadding", { true }));
using ShapeDataset = framework::dataset::ContainerDataset<std::vector<TensorShape>>;
constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */
constexpr AbsoluteTolerance<float> tolerance_f16(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */
constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED integer datatype*/
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric type */
} // namespace
TEST_SUITE(CL)
TEST_SUITE(Pooling3dLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Mismatching data type
TensorInfo(TensorShape(2U, 27U, 13U, 4U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid pad/size combination
TensorInfo(TensorShape(2U, 27U, 13U, 4U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid pad/size combination
TensorInfo(TensorShape(2U, 27U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Invalid output shape
TensorInfo(TensorShape(5U, 13U, 15U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Global Pooling
TensorInfo(TensorShape(13U,13U, 5U, 1U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid output Global Pooling
TensorInfo(TensorShape(5U, 13U, 13U, 4U, 4U), 1, DataType::F32, DataLayout::NDHWC), // Invalid data type
TensorInfo(TensorShape(5U, 13U, 13U, 4U, 4U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 13U, 13U, 5U, 4U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(1U, 16U, 1U, 3U, 4U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 13U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 13U, 13U, 4U, 2U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 13U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 13U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC),
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(2U, 25U, 11U, 3U, 3U), 1, DataType::F16, DataLayout::NDHWC),
TensorInfo(TensorShape(2U, 30U, 11U, 3U, 2U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(2U, 25U, 16U, 3U, 2U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(2U, 27U, 13U, 3U, 3U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 1U, 1U, 1U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Global pooling applied
TensorInfo(TensorShape(5U, 2U, 2U, 2U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid output Global Pooling
TensorInfo(TensorShape(5U, 12U, 12U, 3U, 4U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 12U, 12U, 3U, 4U), 1, DataType::QASYMM8, DataLayout::NDHWC), // Invalid data type
TensorInfo(TensorShape(5U, 1U, 1U, 1U, 4U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(1U, 15U, 1U, 2U, 4U), 1, DataType::F32, DataLayout::NDHWC), // Output width larger than input
TensorInfo(TensorShape(5U, 6U, 6U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 6U, 6U, 2U, 2U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 6U, 6U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC),
TensorInfo(TensorShape(5U, 6U, 6U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC),
})),
framework::dataset::make("PoolInfo", { Pooling3dLayerInfo(PoolingType::AVG, 3, Size3D(1, 1, 1), Padding3D(0, 0, 0)),
Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1, 1, 1), Padding3D(2, 0, 0)),
Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1, 1, 1), Padding3D(0, 0, 0)),
Pooling3dLayerInfo(PoolingType::L2, 3, Size3D(1, 1, 1), Padding3D(0, 0, 0)),
Pooling3dLayerInfo(PoolingType::AVG),
Pooling3dLayerInfo(PoolingType::MAX),
Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(), Padding3D(), false),
Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1U, 1U, 1U), Padding3D(), false),
Pooling3dLayerInfo(PoolingType::AVG),
Pooling3dLayerInfo(PoolingType::MAX, 2, Size3D(1, 1, 2), Padding3D(0, 0, 0), false),
Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(2U, 2U, 2U), Padding3D(), false),
Pooling3dLayerInfo(PoolingType::AVG, 1, Size3D(2U, 2U, 2U), Padding3D(2, 2, 2), true), // Pool size is smaller than the padding size with padding excluded
Pooling3dLayerInfo(PoolingType::AVG, 1, Size3D(2U, 2U, 2U), Padding3D(2, 2, 2), false), // Pool size is smaller than the padding size with padding included
Pooling3dLayerInfo(PoolingType::AVG, 3, Size3D(2U, 2U, 2U), Padding3D(2,1,2,2,1,2), false, false, DimensionRoundingType::CEIL), // CEIL with asymmetric Padding
})),
framework::dataset::make("Expected", { false, false, false, false, true, false, false, false, true , false, true, false, false, false})),
input_info, output_info, pool_info, expected)
{
ARM_COMPUTE_EXPECT(bool(CLPooling3dLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info)) == expected, framework::LogLevel::ERRORS);
}
template <typename T>
using CLPooling3dLayerFixture = Pooling3dLayerValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>;
template <typename T>
using CLSpecialPooling3dLayerFixture = SpecialPooling3dLayerValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>;
template <typename T>
using CLPooling3dLayerGlobalFixture = Pooling3dLayerGlobalValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>;
template <typename T>
using CLPooling3dLayerQuantizedFixture = Pooling3dLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>;
// clang-format on
// *INDENT-ON*
TEST_SUITE(QUANTIZED)
TEST_SUITE(QASYMM8)
// Small Dataset Quantized Dataset
FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(),
combine(Pooling3DLayerDatasetQuantized,
framework::dataset::make("DataType", DataType::QASYMM8))),
framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, 10), QuantizationInfo(1.f / 127.f, 10) })),
framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, 5), QuantizationInfo(1.f / 127.f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
// Large Dataset Quantized Dataset
FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(),
combine(Pooling3DLayerDatasetQuantized,
framework::dataset::make("DataType", DataType::QASYMM8))),
framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, 10), QuantizationInfo(1.f / 127.f, 10) })),
framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, 5), QuantizationInfo(1.f / 127.f, 10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END()
TEST_SUITE(QASYMM8_SIGNED)
// Large Dataset Quantized Dataset Signed
FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(),
combine(Pooling3DLayerDatasetQuantized,
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))),
framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10), QuantizationInfo(1.f / 127.f, -10) })),
framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -5), QuantizationInfo(1.f / 127.f, -10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8_signed);
}
// Large Dataset Quantized pooling test
FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(),
combine(Pooling3DLayerDatasetQuantized,
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))),
framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10), QuantizationInfo(1.f / 127.f, -10) })),
framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -5), QuantizationInfo(1.f / 127.f, -10) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPooling3dLayerFixture<float>, framework::DatasetMode::ALL, datasets::Pooling3dLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small5dShapes(), combine(Pooling3dLayerDatasetFPSmall,
framework::dataset::make("DataType", DataType::F32))))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP,
framework::dataset::make("DataType", DataType::F32))))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(GlobalPooling)
// *INDENT-OFF*
// clang-format off
FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(
framework::dataset::make("InputShape", { TensorShape(3U, 27U, 13U, 4U),
TensorShape(4U, 27U, 13U, 4U, 2U)
}),
framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
framework::dataset::make("PoolingSize", { Size3D(27, 13, 4) })),
framework::dataset::make("Strides", Size3D(1, 1, 1))),
framework::dataset::make("Paddings", Padding3D(0, 0, 0))),
framework::dataset::make("ExcludePadding", false)),
framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmallGlobal, CLPooling3dLayerGlobalFixture<float>, framework::DatasetMode::ALL,
combine(combine(
framework::dataset::make("InputShape", { TensorShape(27U, 13U, 4U, 3U),
TensorShape(27U, 13U, 4U, 4U, 2U)
}),
framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(
framework::dataset::make("InputShape", { TensorShape(4U, 79U, 37U, 11U),
TensorShape(4U, 79U, 37U, 11U, 2U)
}),
framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
framework::dataset::make("PoolingSize", { Size3D(79, 37, 11) })),
framework::dataset::make("Strides", Size3D(1, 1, 1))),
framework::dataset::make("Paddings", Padding3D(0, 0, 0))),
framework::dataset::make("ExcludePadding", false)),
framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
// clang-format on
// *INDENT-ON*
TEST_SUITE_END() // GlobalPooling
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small5x5Shapes(), combine(Pooling3dLayerDatasetFPSmall,
framework::dataset::make("DataType", DataType::F16))))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP,
framework::dataset::make("DataType", DataType::F16))))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(GlobalPooling)
// *INDENT-OFF*
// clang-format off
FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(
framework::dataset::make("InputShape", { TensorShape(3U, 27U, 13U, 4U),
TensorShape(4U, 27U, 13U, 4U, 2U)
}),
framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
framework::dataset::make("PoolingSize", { Size3D(27, 13, 4) })),
framework::dataset::make("Strides", Size3D(1, 1, 1))),
framework::dataset::make("Paddings", Padding3D(0, 0, 0))),
framework::dataset::make("ExcludePadding", false)),
framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunSmallGlobal, CLPooling3dLayerGlobalFixture<half>, framework::DatasetMode::ALL,
combine(combine(
framework::dataset::make("InputShape", { TensorShape(27U, 13U, 4U, 3U),
TensorShape(27U, 13U, 4U, 4U, 2U)
}),
framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(
framework::dataset::make("InputShape", { TensorShape(4U, 79U, 37U, 11U),
TensorShape(4U, 79U, 37U, 11U, 2U)
}),
framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
framework::dataset::make("PoolingSize", { Size3D(79, 37, 11) })),
framework::dataset::make("Strides", Size3D(1, 1, 1))),
framework::dataset::make("Paddings", Padding3D(0, 0, 0))),
framework::dataset::make("ExcludePadding", false)),
framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
// clang-format on
// *INDENT-ON*
TEST_SUITE_END() // GlobalPooling
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE_END() // Pooling3dLayer
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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