| /* | |
| * Copyright (c) 2018-2021 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/core/utils/misc/ShapeCalculator.h" | |
| #include "arm_compute/runtime/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" | |
| #include "arm_compute/runtime/CL/functions/CLArgMinMaxLayer.h" | |
| #include "arm_compute/runtime/CL/functions/CLReductionOperation.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/datasets/ShapeDatasets.h" | |
| #include "tests/datasets/SplitDataset.h" | |
| #include "tests/framework/Asserts.h" | |
| #include "tests/framework/Macros.h" | |
| #include "tests/validation/Validation.h" | |
| #include "tests/validation/fixtures/ArgMinMaxFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| const auto ArgMinMaxSmallDataset = framework::dataset::make("Shape", | |
| { | |
| TensorShape{ 1U, 7U, 1U, 3U }, | |
| TensorShape{ 149U, 5U, 1U, 2U }, | |
| TensorShape{ 166U, 5U, 1U, 2U }, | |
| TensorShape{ 322U, 5U, 1U, 2U }, | |
| TensorShape{ 128U, 5U, 21U, 3U }, | |
| TensorShape{ 2560, 2U, 2U, 2U }, | |
| }); | |
| const auto ArgMinMaxLargeDataset = framework::dataset::make("Shape", | |
| { TensorShape{ 517U, 123U, 13U, 2U } }); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(ArgMinMax) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( | |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis | |
| TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape | |
| TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), // Invalid operation | |
| TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) // Not allowed keeping the dimension | |
| }), | |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::S32), | |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32) | |
| })), | |
| framework::dataset::make("Axis", { 4, 0, 2, 0, 2 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM, ReductionOperation::ARG_IDX_MAX })), | |
| framework::dataset::make("Expected", { false, false, true, false, false })), | |
| input_info, output_info, axis, operation, expected) | |
| { | |
| const Status status = CLArgMinMaxLayer::validate(&input_info.clone()->set_is_resizable(false), axis, &output_info.clone()->set_is_resizable(false), operation); | |
| ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLArgMinMaxValidationFixture = ArgMinMaxValidationFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>; | |
| TEST_SUITE(S32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLArgMinMaxValidationFixture<int32_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLArgMinMaxValidationFixture<int32_t>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // S32 | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLArgMinMaxValidationFixture<half>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLArgMinMaxValidationFixture<half>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLArgMinMaxValidationFixture<float>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLArgMinMaxValidationFixture<float>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE_END() // Float | |
| template <typename T> | |
| using CLArgMinMaxQuantizedValidationFixture = ArgMinMaxValidationQuantizedFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>; | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLArgMinMaxQuantizedValidationFixture<uint8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLArgMinMaxQuantizedValidationFixture<uint8_t>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLArgMinMaxQuantizedValidationFixture<int8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLArgMinMaxQuantizedValidationFixture<int8_t>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), | |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // QASYMM8_SIGNED | |
| TEST_SUITE_END() // Quantized | |
| TEST_SUITE_END() // ArgMinMax | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |