| /* |
| * Copyright (c) 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. |
| */ |
| #ifdef __aarch64__ |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEAddMulAdd.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/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/AddMulAddFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */ |
| const AbsoluteTolerance<half> tolerance_fp16(half(0.1f)); /**< Tolerance for 16-bit floating point tests */ |
| constexpr AbsoluteTolerance<float> tolerance_quant(1); /**< Tolerance for quantized tests */ |
| |
| const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| { |
| ActivationLayerInfo(), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| |
| // Boundaries are aligned with Quantized Data ranges -- DOUBLE check before changing |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, -2.f) |
| }); |
| |
| // QASYMM8 test quantizations |
| const auto qasymm8_input1_qinfo_set = framework::dataset::make("Input1QInfo", { QuantizationInfo(0.1, 10) }); // Representable Range: [-1, 24.5] |
| const auto qasymm8_input2_qinfo_set = framework::dataset::make("Input2QInfo", { QuantizationInfo(0.2, 60) }); // Representable Range: [-12, 39] |
| const auto qasymm8_bn_mul_qinfo_set = framework::dataset::make("BnMulInfo", { QuantizationInfo(0.001, 55) }); // Representable Range: [-0.11, 0.2] |
| const auto qasymm8_bn_add_qinfo_set = framework::dataset::make("BnAddInfo", { QuantizationInfo(0.02, 20) }); // Representable Range: [-0.4, 4.7] |
| |
| // Representable Range: [-9.36, 51.84], Expected F32 range: [-13, 63.5], leaving some space for saturation |
| const auto qasymm8_add_output_qinfo_set = framework::dataset::make("AddOutputInfo", { QuantizationInfo(0.24, 39) }); |
| |
| // Representable Range: [-4.8, 10.5], Expected FP32 range: [-6.985, 12.7], leaving some space for saturation |
| // This range also makes sense with the activation boundaries above, i.e. [-2, 8] for LU_BOUNDED_RELU and [0, 6] for BOUNDED_RELU |
| const auto qasymm8_final_output_qinfo_set = framework::dataset::make("FinalOutputInfo", { QuantizationInfo(0.06, 80) }); |
| |
| // QASYMM8_SIGNED test quantizations |
| const auto qasymm8_signed_input1_qinfo_set = framework::dataset::make("Input1QInfo", { QuantizationInfo(0.1, 10) }); // Representable Range: [-13.8, 11.7] |
| const auto qasymm8_signed_input2_qinfo_set = framework::dataset::make("Input2QInfo", { QuantizationInfo(0.2, -60) }); // Representable Range: [-13.6, 39.4] |
| const auto qasymm8_signed_bn_mul_qinfo_set = framework::dataset::make("BnMulInfo", { QuantizationInfo(0.001, 55) }); // Representable Range: [-0.183, 0.072] |
| const auto qasymm8_signed_bn_add_qinfo_set = framework::dataset::make("BnAddInfo", { QuantizationInfo(0.4, -120) }); // Representable Range: [-0.32, 9.08] |
| |
| // Representable Range: [-21.36, 39.84], Expected F32 range: [-27.4, 51.1], leaving some space for saturation |
| const auto qasymm8_signed_add_output_qinfo_set = framework::dataset::make("AddOutputInfo", { QuantizationInfo(0.24, -39) }); |
| |
| // Representable Range: [-4.8, 10.5], Expected FP32 range: [-9.6713, 14.0942], leaving some space for saturation |
| // This range also makes sense with the activation boundaries above, i.e. [-2, 8] for LU_BOUNDED_RELU and [0, 6] for BOUNDED_RELU |
| const auto qasymm8_signed_final_output_qinfo_set = framework::dataset::make("FinalOutputInfo", { QuantizationInfo(0.06, -48) }); |
| |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(AddMulAdd) |
| |
| template <typename T> |
| using NEAddMulAddFloatFixture = AddMulAddFloatValidationFixture<Tensor, Accessor, NEAddMulAdd, T, true>; |
| |
| template <typename T> |
| using NEAddMulAddFloatFixtureWoIntermOut = AddMulAddFloatValidationFixture<Tensor, Accessor, NEAddMulAdd, T, false>; |
| |
| TEST_SUITE(Float) |
| |
| TEST_SUITE(F32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulAddFloatFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| ActivationFunctionsDataset)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| |
| // This test is to stress the case when there is no intermediate output required (i.e. nullptr) |
| FIXTURE_DATA_TEST_CASE(RunSmallWithoutIntermOutput, NEAddMulAddFloatFixtureWoIntermOut<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("ActivationInfo", { ActivationLayerInfo() }))) |
| { |
| // Validate outputs |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulAddFloatFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| ActivationFunctionsDataset)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| |
| TEST_SUITE_END() // F32 |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(F16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulAddFloatFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| ActivationFunctionsDataset)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance |
| validate(Accessor(_target), _reference, tolerance_fp16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulAddFloatFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| ActivationFunctionsDataset)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance |
| validate(Accessor(_target), _reference, tolerance_fp16); |
| } |
| TEST_SUITE_END() // F16 |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| TEST_SUITE_END() // Float |
| |
| template <typename T> |
| using NEAddMulQuantizedFixture = AddMulAddQuantizedValidationFixture<Tensor, Accessor, NEAddMulAdd, T, true>; |
| |
| template <typename T> |
| using NEAddMulAddQuantizedFixtureWoIntermOut = AddMulAddQuantizedValidationFixture<Tensor, Accessor, NEAddMulAdd, T, false>; |
| |
| TEST_SUITE(Quantized) |
| |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| ActivationFunctionsDataset), |
| qasymm8_input1_qinfo_set), |
| qasymm8_input2_qinfo_set), |
| qasymm8_bn_mul_qinfo_set), |
| qasymm8_bn_add_qinfo_set), |
| qasymm8_add_output_qinfo_set), |
| qasymm8_final_output_qinfo_set)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference, tolerance_quant); |
| validate(Accessor(_target), _reference, tolerance_quant); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| ActivationFunctionsDataset), |
| qasymm8_input1_qinfo_set), |
| qasymm8_input2_qinfo_set), |
| qasymm8_bn_mul_qinfo_set), |
| qasymm8_bn_add_qinfo_set), |
| qasymm8_add_output_qinfo_set), |
| qasymm8_final_output_qinfo_set)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference, tolerance_quant); |
| validate(Accessor(_target), _reference, tolerance_quant); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| ActivationFunctionsDataset), |
| qasymm8_signed_input1_qinfo_set), |
| qasymm8_signed_input2_qinfo_set), |
| qasymm8_signed_bn_mul_qinfo_set), |
| qasymm8_signed_bn_add_qinfo_set), |
| qasymm8_signed_add_output_qinfo_set), |
| qasymm8_signed_final_output_qinfo_set)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference, tolerance_quant); |
| validate(Accessor(_target), _reference, tolerance_quant); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| ActivationFunctionsDataset), |
| qasymm8_signed_input1_qinfo_set), |
| qasymm8_signed_input2_qinfo_set), |
| qasymm8_signed_bn_mul_qinfo_set), |
| qasymm8_signed_bn_add_qinfo_set), |
| qasymm8_signed_add_output_qinfo_set), |
| qasymm8_signed_final_output_qinfo_set)) |
| { |
| // Validate outputs |
| validate(Accessor(_interm_target), _interm_reference, tolerance_quant); |
| validate(Accessor(_target), _reference, tolerance_quant); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // AddMulAdd |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| |
| #endif // __aarch64__ |