216 lines
12 KiB
C++
216 lines
12 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/FullyConnectedLayerDataset.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/FullyConnectedLayerFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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/** Tolerance for float operations */
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constexpr RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType:F32 */
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constexpr AbsoluteTolerance<float> abs_tolerance_f32(0.0001f); /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F32 */
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RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */
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constexpr float tolerance_num = 0.07f; /**< Tolerance number */
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/** Tolerance for quantized asymmetric operations */
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constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
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/** CNN data types */
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const auto CNNDataTypes = framework::dataset::make("DataType",
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{
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DataType::F16,
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DataType::F32,
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DataType::QASYMM8,
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DataType::QASYMM8_SIGNED,
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});
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const auto FullyConnectedParameters = combine(framework::dataset::make("TransposeWeights", { false, true }), framework::dataset::make("ReshapeWeights", { false, true }));
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const auto QuantizationData = framework::dataset::make("QuantizationInfo",
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{
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QuantizationInfo(1.f / 255.f, 10),
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QuantizationInfo(1.1f, 10),
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});
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const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
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{
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ActivationLayerInfo(),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.75f, 0.25f),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH)
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});
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const auto ActivationFunctionsQuantizedDataset = framework::dataset::make("ActivationInfo",
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{
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ActivationLayerInfo(),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.75f, 0.25f)
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});
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(FullyConnectedLayer)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Mismatching data types
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TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Invalid weights dimensions
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TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Wrongly reshaped weights
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}),
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framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16),
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TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
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TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
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TensorInfo(TensorShape(217U, 231U), 1, DataType::F32),
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TensorInfo(TensorShape(217U, 315U), 1, DataType::F32),
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})),
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framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32),
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TensorInfo(TensorShape(192U), 1, DataType::F32),
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TensorInfo(TensorShape(192U), 1, DataType::F32),
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TensorInfo(TensorShape(271U), 1, DataType::F32),
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TensorInfo(TensorShape(271U), 1, DataType::F32),
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})),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
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TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
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TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),
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})),
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framework::dataset::make("TransposeWeights",{ true, true, false, true, true })),
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framework::dataset::make("ReshapedWeights",{ false, false, false, false, false})),
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framework::dataset::make("Expected", { false, true, true, false, false })),
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input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)
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{
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// Create Fully Connected layer info
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FullyConnectedLayerInfo fc_info;
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fc_info.transpose_weights = transpose_weights;
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fc_info.are_weights_reshaped = reshaped_weights;
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Status status = CLFullyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false),
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&weights_info.clone()->set_is_resizable(false),
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&bias_info.clone()->set_is_resizable(false),
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&output_info.clone()->set_is_resizable(false),
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fc_info);
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ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using CLFullyConnectedLayerFixture = FullyConnectedLayerValidationFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(),
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FullyConnectedParameters),
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framework::dataset::make("DataType", DataType::F16)),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(),
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FullyConnectedParameters),
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framework::dataset::make("DataType", DataType::F16)),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
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}
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TEST_SUITE_END()
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters),
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framework::dataset::make("DataType", DataType::F32)),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0, abs_tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters),
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framework::dataset::make("DataType", DataType::F32)),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0, abs_tolerance_f32);
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}
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TEST_SUITE_END()
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TEST_SUITE_END()
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template <typename T>
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using CLFullyConnectedLayerQuantizedFixture = FullyConnectedLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLFullyConnectedLayer, T>;
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TEST_SUITE(Quantized)
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8)), QuantizationData),
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ActivationFunctionsQuantizedDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_qasymm8);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLFullyConnectedLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8)), QuantizationData),
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ActivationFunctionsQuantizedDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_qasymm8);
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}
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TEST_SUITE_END() /* QASYMM8 */
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TEST_SUITE(QASYMM8_SIGNED)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLFullyConnectedLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), QuantizationData),
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ActivationFunctionsQuantizedDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_qasymm8);
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}
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TEST_SUITE_END() /* QASYMM8_SIGNED */
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TEST_SUITE_END() /* Quantized */
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TEST_SUITE_END()
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TEST_SUITE_END()
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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