| /* |
| * Copyright (c) 2017-2020 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/CLGEMMLowpMatrixMultiplyCore.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/GEMMLowpFusedOffsetOutputDataset.h" |
| #include "tests/datasets/LargeGEMMLowpDataset.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/datasets/SmallGEMMLowpDataset.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/GEMMLowpFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| constexpr AbsoluteTolerance<float> tolerance_quant(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ |
| } |
| TEST_SUITE(CL) |
| TEST_SUITE(GEMMLowp) |
| |
| TEST_SUITE(MatrixMultiplyCore) |
| using CLGEMMLowpMatrixMultiplyCoreFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreFixture, framework::DatasetMode::ALL, datasets::SmallGEMMLowpDataset()) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpDataset()) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE(FusedOffsetOutput) |
| TEST_SUITE(QASYMM8) |
| using CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture = GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore>; |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture, framework::DatasetMode::ALL, combine(datasets::SmallGEMMLowpFusedOffsetOutputUint8Dataset(), |
| framework::dataset::make("DataType", { DataType::QASYMM8 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_quant); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGEMMLowpFusedOffsetOutputUint8Dataset(), |
| framework::dataset::make("DataType", { DataType::QASYMM8 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_quant); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| TEST_SUITE(QASYMM8_SIGNED) |
| using CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputInt8Fixture = |
| GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, false, false, int8_t, int8_t>; |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputInt8Fixture, framework::DatasetMode::ALL, combine(datasets::SmallGEMMLowpFusedOffsetOutputInt8Dataset(), |
| framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_quant); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // FusedOffsetOutput |
| |
| TEST_SUITE(Output3D) |
| using CLGEMMLowpMatrixMultiplyCoreOutput3DFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, false, true>; |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreOutput3DFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallGEMMLowpOutput3DDataset()) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreOutput3DFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpOutput3DDataset()) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // Output3D |
| |
| TEST_SUITE(InputOutput3D) |
| using CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, true, true>; |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture, framework::DatasetMode::PRECOMMIT, datasets::SmallGEMMLowpInputOutput3DDataset()) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpInputOutput3DDataset()) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // InputOutput3D |
| TEST_SUITE_END() // MatrixMultiplyCore |
| |
| TEST_SUITE(OutputStage) |
| |
| TEST_SUITE(QuantizeDownInt32Scale) |
| |
| TEST_SUITE(QASYMM8) |
| |
| const auto quantize_down_int32_to_uint8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2, |
| 3) |
| * framework::dataset::make("min", 0) * framework::dataset::make("max", 255) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_uint8_scale_relu_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, |
| 2) |
| * framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", 0, 2) * framework::dataset::make("max", 171, 173) * framework::dataset::make("addBias", { false, true }); |
| |
| using CLGEMMLowpQuantizeDownInt32ScaleFixture = GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE(BoundedReLu) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() // BoundedReLu |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| |
| const auto quantize_down_int32_to_int8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2, |
| 3) |
| * framework::dataset::make("min", -128) * framework::dataset::make("max", 127) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_int8_scale_relu_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, |
| 2) |
| * framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", -100, -98) * framework::dataset::make("max", 71, 73) * framework::dataset::make("addBias", { false, true }); |
| |
| using CLGEMMLowpQuantizeDownInt32ScaleFixture = GEMMLowpQuantizeDownInt32ToInt8ScaleValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE(BoundedReLu) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() // BoundedReLu |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // QuantizeDownInt32Scale |
| |
| TEST_SUITE(QuantizeDownInt32ScaleByFixedPoint) |
| |
| TEST_SUITE(QASYMM8) |
| |
| const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, |
| 2) |
| * framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", 0) * framework::dataset::make("max", 255) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, |
| 2) |
| * framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", 0, 2) * framework::dataset::make("max", 171, 174) * framework::dataset::make("addBias", { false, true }); |
| using CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture = |
| GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_uint8_scale_by_fixedpoint_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), |
| quantize_down_int32_to_uint8_scale_by_fixedpoint_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE(BoundedReLu) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), |
| quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // BoundedReLu |
| TEST_SUITE_END() // QASYMM8 |
| TEST_SUITE(QASYMM8_SIGNED) |
| const auto quantize_down_int32_to_int8_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, 2) |
| * framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", -128) * framework::dataset::make("max", 127) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, 2) |
| * framework::dataset::make("result_offset_after_shift", 2, 3) * framework::dataset::make("min", -128, -126) * framework::dataset::make("max", 110, 112) * framework::dataset::make("addBias", { false, true }); |
| using CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture = |
| GEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_int8_scale_by_fixedpoint_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE(BoundedReLu) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() // BoundedReLu |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE(QSYMM16) |
| |
| const auto quantize_down_int32_to_int16_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, |
| 2) |
| * framework::dataset::make("min", -32768) * framework::dataset::make("max", 32767) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, |
| 2) |
| * framework::dataset::make("min", -2, 0) * framework::dataset::make("max", 1, 3) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases = framework::dataset::make("result_fixedpoint_multiplier", 1073741823, |
| 1073741825) |
| * framework::dataset::make("result_shift", -3, |
| -2) |
| * framework::dataset::make("min", -32768) * framework::dataset::make("max", 32767) * framework::dataset::make("addBias", { false, true }); |
| |
| const auto quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, |
| 254601602) |
| * framework::dataset::make("result_shift", -3, |
| -1) |
| * framework::dataset::make("min", -2, 0) * framework::dataset::make("max", 1, 3) * framework::dataset::make("addBias", { false, true }); |
| |
| using CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture = |
| GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint>; |
| |
| TEST_SUITE(NoRelu) |
| TEST_SUITE(MultSmallerEq1) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_int16_scale_by_fixedpoint_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // MultSmallerEq1 |
| TEST_SUITE(MultGreater1) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // MultGreater1 |
| TEST_SUITE_END() // NoRelu |
| TEST_SUITE(BoundedReLu) |
| TEST_SUITE(MultSmallerEq1) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // MultSmallerEq1 |
| TEST_SUITE(MultGreater1) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), |
| quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // MultGreater1 |
| TEST_SUITE_END() // BoundedReLu |
| TEST_SUITE_END() // QSYMM16 |
| TEST_SUITE_END() // QuantizeDownInt32ScaleByFixedPoint |
| |
| TEST_SUITE(QuantizeDownInt32ScaleByFloat) |
| |
| TEST_SUITE(QASYMM8) |
| using CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture = |
| GEMMLowpQuantizeDownInt32ScaleByFloatValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage, uint8_t>; |
| |
| FIXTURE_DATA_TEST_CASE(RunTiny, CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), |
| datasets::TinyShapes()), |
| framework::dataset::make("result_real_multiplier", 0.33f)), |
| framework::dataset::make("result_offset", 2, 3)), |
| framework::dataset::make("min", 0)), |
| framework::dataset::make("max", 255)), |
| framework::dataset::make("addBias", { false, true }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| using CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture_Signed = |
| GEMMLowpQuantizeDownInt32ScaleByFloatValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage, int8_t>; |
| FIXTURE_DATA_TEST_CASE(RunTiny, CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture_Signed, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), |
| datasets::TinyShapes()), |
| framework::dataset::make("result_real_multiplier", 0.33f)), |
| framework::dataset::make("result_offset", 2, 3)), |
| framework::dataset::make("min", -128)), |
| framework::dataset::make("max", 127)), |
| framework::dataset::make("addBias", { false, true }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| |
| TEST_SUITE_END() // QuantizeDownInt32ScaleByFloat |
| |
| TEST_SUITE_END() // OutputStage |
| TEST_SUITE_END() // GEMMLowp |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |