| /* |
| * Copyright (c) 2017-2021, 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/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/FullyConnectedLayerDataset.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/FullyConnectedLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| using framework::dataset::make; |
| namespace |
| { |
| /** Tolerance for float operations */ |
| constexpr RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType:F32 */ |
| constexpr AbsoluteTolerance<float> abs_tolerance_f32(0.0001f); /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */ |
| constexpr float tolerance_num = 0.07f; /**< Tolerance number */ |
| |
| /** Tolerance for quantized asymmetric operations */ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); |
| |
| const auto FullyConnectedParameters = combine(make("TransposeWeights", { false, true }), make("ReshapeWeights", { false, true })); |
| |
| const auto QuantizationData = make("QuantizationInfo", |
| { |
| QuantizationInfo(1.f / 255.f, 10), |
| QuantizationInfo(1.1f, 10), |
| }); |
| |
| const auto IgnoredQuantizationData = make("IgnoredQuantizationInfo", |
| { |
| QuantizationInfo(), |
| }); |
| |
| const auto ActivationFunctionsDataset = make("ActivationInfo", |
| { |
| ActivationLayerInfo(), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.75f, 0.25f), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH) |
| }); |
| |
| // This dataset case only runs with dynamic quantization |
| const auto NoActivationFunctionsQuantizedDataset = make("ActivationInfo", |
| { |
| ActivationLayerInfo() |
| }); |
| |
| const auto ActivationFunctionsQuantizedDataset = concat(concat( |
| make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)), |
| make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f))), |
| make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.75f, 0.25f))); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(FullyConnectedLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( |
| make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Mismatching data types |
| TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Invalid weights dimensions |
| TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Wrongly reshaped weights |
| }), |
| make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), |
| TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), |
| TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), |
| TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), |
| TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), |
| })), |
| make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32), |
| TensorInfo(TensorShape(192U), 1, DataType::F32), |
| TensorInfo(TensorShape(192U), 1, DataType::F32), |
| TensorInfo(TensorShape(271U), 1, DataType::F32), |
| TensorInfo(TensorShape(271U), 1, DataType::F32), |
| })), |
| make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), |
| })), |
| make("TransposeWeights",{ true, true, false, true, true })), |
| make("ReshapedWeights",{ false, false, false, false, false})), |
| make("Expected", { false, true, true, false, false })), |
| input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected) |
| { |
| // Create Fully Connected layer info |
| FullyConnectedLayerInfo fc_info; |
| fc_info.transpose_weights = transpose_weights; |
| fc_info.are_weights_reshaped = reshaped_weights; |
| |
| Status status = CLFullyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false), |
| &weights_info.clone()->set_is_resizable(false), |
| &bias_info.clone()->set_is_resizable(false), |
| &output_info.clone()->set_is_resizable(false), |
| fc_info); |
| ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLFullyConnectedLayerFixture = FullyConnectedLayerValidationFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T>; |
| template <typename T> |
| using CLFullyConnectedLayerMixedDataLayoutFixture = FullyConnectedLayerValidationFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T, true>; |
| template <typename T> |
| using CLFullyConnectedLayerDynamicWeightsFixture = FullyConnectedWithDynamicWeightsFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T>; |
| template <typename T> |
| using CLFullyConnectedNoBiasFixture = FullyConnectedDynamicNoBiasFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| FullyConnectedParameters, |
| make("DataType", DataType::F16), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeFullyConnectedLayerDataset(), |
| FullyConnectedParameters, |
| make("DataType", DataType::F16), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| FIXTURE_DATA_TEST_CASE(RunDynamicWeights, CLFullyConnectedLayerDynamicWeightsFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| make("DataType", DataType::F16), |
| make("ActivationInfo", ActivationLayerInfo()), |
| make("WeightsReshaped", { false, true }))) |
| { |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters, |
| make("DataType", DataType::F32), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0, abs_tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLFullyConnectedLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine( |
| make("Input", TensorShape(9U, 5U, 7U)), |
| make("Weights", TensorShape(315U, 271U)), |
| make("Biases", TensorShape(271U)), |
| make("Output", TensorShape(271U)), |
| FullyConnectedParameters, |
| make("DataType", DataType::F32), |
| make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0, abs_tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunDynamicWeights, CLFullyConnectedLayerDynamicWeightsFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| make("DataType", DataType::F32), |
| make("ActivationInfo", ActivationLayerInfo()), |
| make("WeightsReshaped", { false, true }))) |
| { |
| } |
| FIXTURE_DATA_TEST_CASE(RunDynamicNoBias, CLFullyConnectedNoBiasFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| make("DataType", DataType::F32), |
| make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }), |
| make("WeightsReshaped", { false }))) |
| { |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters, |
| make("DataType", DataType::F32), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0, abs_tolerance_f32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLFullyConnectedLayerQuantizedFixture = FullyConnectedLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T>; |
| template <typename T> |
| using CLFullyConnectedLayerQuantizedMixedDataLayoutFixture = FullyConnectedLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T, true>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmallWithActivation, CLFullyConnectedLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters, make("DataType", DataType::QASYMM8), QuantizationData, |
| ActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayoutWithActivation, CLFullyConnectedLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, |
| combine( |
| make("Input", TensorShape(9U, 5U, 7U)), |
| make("Weights", TensorShape(315U, 271U)), |
| make("Biases", TensorShape(271U)), |
| make("Output", TensorShape(271U)), |
| FullyConnectedParameters, |
| make("DataType", DataType::QASYMM8), |
| QuantizationData, |
| make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLargeWithActivation, CLFullyConnectedLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, |
| combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters, make("DataType", DataType::QASYMM8), QuantizationData, |
| ActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| // Dynamic Quantization Tests |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters, make("DataType", DataType::QASYMM8), IgnoredQuantizationData, |
| NoActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, |
| combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters, make("DataType", DataType::QASYMM8), IgnoredQuantizationData, |
| NoActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunDynamicWeights, CLFullyConnectedLayerDynamicWeightsFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| make("DataType", DataType::QASYMM8), |
| NoActivationFunctionsQuantizedDataset, |
| make("WeightsReshaped", { false /* COMPMID-6000: Support FullyConnected with quantized dynamic weights already reshaped */ }))) |
| { |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLFullyConnectedLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, |
| combine( |
| make("Input", TensorShape(9U, 5U, 7U)), |
| make("Weights", TensorShape(315U, 271U)), |
| make("Biases", TensorShape(271U)), |
| make("Output", TensorShape(271U)), |
| FullyConnectedParameters, |
| make("DataType", DataType::QASYMM8), |
| IgnoredQuantizationData, |
| NoActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| TEST_SUITE_END() /* QASYMM8 */ |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmallWithActivation, CLFullyConnectedLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters, make("DataType", DataType::QASYMM8_SIGNED), QuantizationData, |
| ActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayoutWithActivation, CLFullyConnectedLayerQuantizedMixedDataLayoutFixture<int8_t>, framework::DatasetMode::PRECOMMIT, |
| combine( |
| make("Input", TensorShape(9U, 5U, 7U)), |
| make("Weights", TensorShape(315U, 271U)), |
| make("Biases", TensorShape(271U)), |
| make("Output", TensorShape(271U)), |
| FullyConnectedParameters, |
| make("DataType", DataType::QASYMM8_SIGNED), |
| QuantizationData, |
| make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| // Dynamic Quantization tests below |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters, make("DataType", DataType::QASYMM8_SIGNED), IgnoredQuantizationData, |
| NoActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLFullyConnectedLayerQuantizedMixedDataLayoutFixture<int8_t>, framework::DatasetMode::PRECOMMIT, |
| combine( |
| make("Input", TensorShape(9U, 5U, 7U)), |
| make("Weights", TensorShape(315U, 271U)), |
| make("Biases", TensorShape(271U)), |
| make("Output", TensorShape(271U)), |
| FullyConnectedParameters, |
| make("DataType", DataType::QASYMM8_SIGNED), |
| IgnoredQuantizationData, |
| NoActivationFunctionsQuantizedDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunDynamicWeights, CLFullyConnectedLayerDynamicWeightsFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| make("DataType", DataType::QASYMM8_SIGNED), |
| make("ActivationInfo", ActivationLayerInfo()), |
| make("WeightsReshaped", { false /* COMPMID-6000: Support FullyConnected with quantized dynamic weights already reshaped */ }))) |
| { |
| } |
| FIXTURE_DATA_TEST_CASE(RunDynamicNoBias, CLFullyConnectedNoBiasFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallFullyConnectedLayerDataset(), |
| make("DataType", DataType::QASYMM8_SIGNED), |
| make("ActivationInfo", ActivationLayerInfo()), |
| make("WeightsReshaped", { false /* COMPMID-6000: Support FullyConnected with quantized dynamic weights already reshaped */ }))) |
| { |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // Quantized |
| TEST_SUITE_END() // FullyConnectedLayer |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |