| /* |
| * 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/Traits.h" |
| #include "arm_compute/runtime/NEON/functions/NEArgMinMaxLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEReductionOperation.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "tests/NEON/Accessor.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 |
| { |
| TEST_SUITE(NEON) |
| 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 |
| }), |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) |
| })), |
| framework::dataset::make("Axis", { 4, 0, 2, 0 })), |
| framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM })), |
| framework::dataset::make("Expected", { false, false, true, false })), |
| input_info, output_info, axis, operation, expected) |
| { |
| const Status status = NEArgMinMaxLayer::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 NEArgMinMaxValidationFixture = ArgMinMaxValidationFixture<Tensor, Accessor, NEArgMinMaxLayer, T>; |
| |
| TEST_SUITE(S32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEArgMinMaxValidationFixture<int32_t>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(datasets::Small4DShapes(), 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(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEArgMinMaxValidationFixture<int32_t>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::Large4DShapes(), 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(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // S32 |
| |
| TEST_SUITE(Float) |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEArgMinMaxValidationFixture<half>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(datasets::Small4DShapes(), 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(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEArgMinMaxValidationFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::Large4DShapes(), 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(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEArgMinMaxValidationFixture<float>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(datasets::Small4DShapes(), 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(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEArgMinMaxValidationFixture<float>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::Large4DShapes(), 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(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| |
| template <typename T> |
| using NEArgMinMaxQuantizedValidationFixture = ArgMinMaxValidationQuantizedFixture<Tensor, Accessor, NEArgMinMaxLayer, T>; |
| |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEArgMinMaxQuantizedValidationFixture<uint8_t>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(combine(datasets::Small4DShapes(), 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(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEArgMinMaxQuantizedValidationFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(combine(datasets::Large4DShapes(), 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(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEArgMinMaxQuantizedValidationFixture<int8_t>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(combine(datasets::Small4DShapes(), 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 / 127.f, 20) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEArgMinMaxQuantizedValidationFixture<int8_t>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(combine(datasets::Large4DShapes(), 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 / 127.f, 20) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // ArgMinMax |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
