| /* |
| * Copyright (c) 2018-2021, 2023 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/NEON/functions/NEReduceMean.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.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/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 */ |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| constexpr AbsoluteTolerance<float> tolerance_f16(0.03f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| #ifdef __aarch64__ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric quantized type */ |
| constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric quantized type */ |
| #else // __aarch64__ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_u8(2); /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric quantized type */ |
| constexpr AbsoluteTolerance<int8_t> tolerance_s8(2); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric quantized type */ |
| #endif // __aarch64__ |
| |
| const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(2, 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) }), framework::dataset::make("KeepDims", { false })); |
| } // namespace |
| TEST_SUITE(NEON) |
| 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 = NEReduceMean::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 NEReduceMeanFixture = ReduceMeanFixture<Tensor, Accessor, NEReduceMean, T>; |
| |
| TEST_SUITE(Float) |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEReduceMeanFixture<half>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEReduceMeanFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEReduceMeanFixture<float>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEReduceMeanFixture<float>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| |
| template <typename T> |
| using NEReduceMeanQuantizedFixture = ReduceMeanQuantizedFixture<Tensor, Accessor, NEReduceMean, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEReduceMeanQuantizedFixture<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(Accessor(_target), _reference, tolerance_u8); |
| } |
| |
| TEST_SUITE(Requant) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEReduceMeanQuantizedFixture<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(Accessor(_target), _reference, tolerance_u8); |
| } |
| TEST_SUITE_END() // Requant |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEReduceMeanQuantizedFixture<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(Accessor(_target), _reference, tolerance_u8); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEReduceMeanQuantizedFixture<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 / 127, -10), QuantizationInfo(1.f / 250, -20) })), |
| framework::dataset::make("QuantizationInfoInputOutput", { QuantizationInfo(1.f / 127, -10) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_s8); |
| } |
| TEST_SUITE(Requant) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEReduceMeanQuantizedFixture<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(Accessor(_target), _reference, tolerance_s8); |
| } |
| TEST_SUITE_END() // Requant |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEReduceMeanQuantizedFixture<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 / 127, -10) })), |
| framework::dataset::make("QuantizationInfoInputOutput", { QuantizationInfo(1.f / 127, -10) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_s8); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // Quantized |
| TEST_SUITE_END() // ReduceMean |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |