216 lines
11 KiB
C++
216 lines
11 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "arm_compute/runtime/CL/functions/CLArgMinMaxLayer.h"
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#include "arm_compute/runtime/CL/functions/CLReductionOperation.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/datasets/SplitDataset.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/ArgMinMaxFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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const auto ArgMinMaxSmallDataset = framework::dataset::make("Shape",
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{
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TensorShape{ 2U, 7U, 1U, 3U },
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TensorShape{ 149U, 5U, 1U, 2U },
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TensorShape{ 166U, 5U, 1U, 2U },
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TensorShape{ 322U, 5U, 1U, 2U },
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TensorShape{ 128U, 5U, 21U, 3U },
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TensorShape{ 2560, 2U, 2U, 2U },
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});
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const auto ArgMinMaxLargeDataset = framework::dataset::make("Shape",
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{ TensorShape{ 517U, 123U, 13U, 2U } });
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(ArgMinMax)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
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TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape
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TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), // Invalid operation
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TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) // Not allowed keeping the dimension
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}),
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framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32)
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})),
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framework::dataset::make("Axis", { 4, 0, 2, 0, 2 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM, ReductionOperation::ARG_IDX_MAX })),
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framework::dataset::make("Expected", { false, false, true, false, false })),
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input_info, output_info, axis, operation, expected)
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{
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const Status status = CLArgMinMaxLayer::validate(&input_info.clone()->set_is_resizable(false), axis, &output_info.clone()->set_is_resizable(false), operation);
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ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using CLArgMinMaxValidationFixture = ArgMinMaxValidationFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>;
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TEST_SUITE(S32)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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CLArgMinMaxValidationFixture<int32_t>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge,
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CLArgMinMaxValidationFixture<int32_t>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // S32
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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CLArgMinMaxValidationFixture<half>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge,
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CLArgMinMaxValidationFixture<half>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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CLArgMinMaxValidationFixture<float>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge,
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CLArgMinMaxValidationFixture<float>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE_END() // Float
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template <typename T>
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using CLArgMinMaxQuantizedValidationFixture = ArgMinMaxValidationQuantizedFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>;
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TEST_SUITE(Quantized)
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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CLArgMinMaxQuantizedValidationFixture<uint8_t>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge,
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CLArgMinMaxQuantizedValidationFixture<uint8_t>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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CLArgMinMaxQuantizedValidationFixture<int8_t>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge,
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CLArgMinMaxQuantizedValidationFixture<int8_t>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
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framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // Quantized
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TEST_SUITE_END() // ArgMinMax
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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