| /* | |
| * Copyright (c) 2018-2020 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/CLReduceMean.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/ReduceMeanFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| 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(0.03f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ | |
| constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric quantized type */ | |
| const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(0, 1, 2, 3) }), | |
| framework::dataset::make("KeepDims", { true })); | |
| const auto axis_drop = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1), Coordinates(3), Coordinates(1, 2), Coordinates(2, 1) }), framework::dataset::make("KeepDims", { false })); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(ReduceMean) | |
| // *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),// OK | |
| TensorInfo(TensorShape{228U, 19U, 2U, 2U}, 1, DataType::F32),// OK | |
| TensorInfo(TensorShape{228U, 19U, 2U, 1U}, 1, DataType::F32) // Cannot support axis 3 not valid | |
| }), | |
| 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, 1U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(19U), 1, DataType::F32), | |
| TensorInfo(TensorShape(19U), 1, DataType::F32) | |
| })), | |
| framework::dataset::make("Axis", { Coordinates(4), Coordinates(0,2), Coordinates(2), Coordinates(3,2,0), Coordinates(3,2,0) })), | |
| framework::dataset::make("Keep", { true, true, true, false, false })), | |
| framework::dataset::make("Expected", { false, false, true, true, false })), | |
| input_info, output_info, axis, keep, expected) | |
| { | |
| const Status status = CLReduceMean::validate(&input_info.clone()->set_is_resizable(false), axis, keep, &output_info.clone()->set_is_resizable(false)); | |
| ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLReduceMeanFixture = ReduceMeanFixture<CLTensor, CLAccessor, CLReduceMean, T>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLReduceMeanFixture<half>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLReduceMeanFixture<half>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLReduceMeanFixture<float>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLReduceMeanFixture<float>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE_END() // Float | |
| template <typename T> | |
| using CLReduceMeanQuantizedFixture = ReduceMeanQuantizedFixture<CLTensor, CLAccessor, CLReduceMean, T>; | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLReduceMeanQuantizedFixture<uint8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), | |
| framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })), | |
| framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); | |
| } | |
| TEST_SUITE(Requant) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLReduceMeanQuantizedFixture<uint8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), axis_drop), | |
| framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })), | |
| framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 200, 16) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); | |
| } | |
| TEST_SUITE_END() // Requant | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLReduceMeanQuantizedFixture<uint8_t>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), | |
| framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })), | |
| framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLReduceMeanQuantizedFixture<int8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), | |
| framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })), | |
| framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 102, 2) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); | |
| } | |
| TEST_SUITE(Requant) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLReduceMeanQuantizedFixture<int8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), axis_drop), | |
| framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })), | |
| framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 113, 10) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); | |
| } | |
| TEST_SUITE_END() // Requant | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLReduceMeanQuantizedFixture<int8_t>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)), | |
| framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })), | |
| framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 102, 2) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); | |
| } | |
| TEST_SUITE_END() // QASYMM8_SIGNED | |
| TEST_SUITE_END() // Quantized | |
| TEST_SUITE_END() // ReduceMean | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |