diff options
| author | Ioan-Cristian Szabo <ioan-cristian.szabo@arm.com> | 2017-10-12 09:25:19 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 432a7d4845598bf681d968e5ee4ed18fce8496c4 (patch) | |
| tree | cdcbffa4ddd6af39b9cfd5c04cb8f84a764c9512 /tests/validation_old/dataset | |
| parent | a1ed41fe2427dfa2b5d0139444ceb77ad16a5a73 (diff) | |
| download | ComputeLibrary-432a7d4845598bf681d968e5ee4ed18fce8496c4.tar.gz | |
Porting accumulate tests to the new framework.
(COMPMID-626) accumulate_validation
(COMPMID-573) accumulate_weighted_validation
(COMPMID-574) accumulate_squared_validation
Change-Id: I6a0db46e809e03d785515ca51e867bec9c29e376
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/91758
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests/validation_old/dataset')
21 files changed, 0 insertions, 2501 deletions
diff --git a/tests/validation_old/dataset/ActivationFunctionDataset.h b/tests/validation_old/dataset/ActivationFunctionDataset.h deleted file mode 100644 index b72cffbcd9..0000000000 --- a/tests/validation_old/dataset/ActivationFunctionDataset.h +++ /dev/null @@ -1,67 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_ACTIVATION_FUNCTION_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_ACTIVATION_FUNCTION_DATASET_H__ - -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible activation functions. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all activation functions. - */ -class ActivationFunctions final : public GenericDataset<ActivationLayerInfo::ActivationFunction, 10> -{ -public: - ActivationFunctions() - : GenericDataset - { - ActivationLayerInfo::ActivationFunction::ABS, - ActivationLayerInfo::ActivationFunction::LINEAR, - ActivationLayerInfo::ActivationFunction::LOGISTIC, - ActivationLayerInfo::ActivationFunction::RELU, - ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, - ActivationLayerInfo::ActivationFunction::LEAKY_RELU, - ActivationLayerInfo::ActivationFunction::SOFT_RELU, - ActivationLayerInfo::ActivationFunction::SQRT, - ActivationLayerInfo::ActivationFunction::SQUARE, - ActivationLayerInfo::ActivationFunction::TANH - } - { - } - - ~ActivationFunctions() = default; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATASET_ACTIVATION_FUNCTION_DATASET_H__ */ diff --git a/tests/validation_old/dataset/ActivationLayerDataset.h b/tests/validation_old/dataset/ActivationLayerDataset.h deleted file mode 100644 index 881e19ff79..0000000000 --- a/tests/validation_old/dataset/ActivationLayerDataset.h +++ /dev/null @@ -1,177 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <sstream> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class ActivationLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "ActivationLayer"; - ss << "_I" << shape; - ss << "_F_" << info.activation(); - return ss.str(); - } - -public: - TensorShape shape; - ActivationLayerInfo info; -}; - -template <unsigned int Size> -using ActivationLayerDataset = GenericDataset<ActivationLayerDataObject, Size>; - -class AlexNetActivationLayerDataset final : public ActivationLayerDataset<5> -{ -public: - AlexNetActivationLayerDataset() - : GenericDataset - { - ActivationLayerDataObject{ TensorShape(55U, 55U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(27U, 27U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(13U, 13U, 384U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(13U, 13U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(4096U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - } - { - } - - ~AlexNetActivationLayerDataset() = default; -}; - -class LeNet5ActivationLayerDataset final : public ActivationLayerDataset<1> -{ -public: - LeNet5ActivationLayerDataset() - : GenericDataset - { - ActivationLayerDataObject{ TensorShape(500U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - } - { - } - - ~LeNet5ActivationLayerDataset() = default; -}; - -class GoogLeNetActivationLayerDataset final : public ActivationLayerDataset<33> -{ -public: - GoogLeNetActivationLayerDataset() - : GenericDataset - { - // conv1/relu_7x7 - ActivationLayerDataObject{ TensorShape(112U, 112U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // conv2/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(56U, 56U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // conv2/relu_3x3 - ActivationLayerDataObject{ TensorShape(56U, 56U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_1x1, inception_3b/relu_pool_proj - ActivationLayerDataObject{ TensorShape(28U, 28U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_3x3_reduce, inception_3b/relu_5x5 - ActivationLayerDataObject{ TensorShape(28U, 28U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(28U, 28U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(28U, 28U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(28U, 28U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3b/relu_3x3 - ActivationLayerDataObject{ TensorShape(28U, 28U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_1x1 - ActivationLayerDataObject{ TensorShape(14U, 14U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 208U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_5x5 - ActivationLayerDataObject{ TensorShape(14U, 14U, 48U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_pool_proj, inception_4b/relu_5x5, inception_4b/relu_pool_proj, inception_4c/relu_5x5, inception_4c/relu_pool_proj, inception_4d/relu_5x5, inception_4d/relu_pool_proj - ActivationLayerDataObject{ TensorShape(14U, 14U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_1x1, inception_4e/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 160U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_3x3_reduce, inception_4d/relu_1x1 - ActivationLayerDataObject{ TensorShape(14U, 14U, 112U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 224U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 24U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj - ActivationLayerDataObject{ TensorShape(14U, 14U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4c/relu_3x3, inception_4e/relu_1x1 - ActivationLayerDataObject{ TensorShape(14U, 14U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4d/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 144U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4d/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 288U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4e/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 320U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_1x1 - ActivationLayerDataObject{ TensorShape(7U, 7U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 160U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_3x3 - ActivationLayerDataObject{ TensorShape(7U, 7U, 320U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj - ActivationLayerDataObject{ TensorShape(7U, 7U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5b/relu_1x1, inception_5b/relu_3x3 - ActivationLayerDataObject{ TensorShape(7U, 7U, 384U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5b/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5b/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 48U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) } - } - { - } - - ~GoogLeNetActivationLayerDataset() = default; -}; - -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__ diff --git a/tests/validation_old/dataset/BatchNormalizationLayerDataset.h b/tests/validation_old/dataset/BatchNormalizationLayerDataset.h deleted file mode 100644 index 3ad1befe33..0000000000 --- a/tests/validation_old/dataset/BatchNormalizationLayerDataset.h +++ /dev/null @@ -1,90 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_BATCH_NORMALIZATION_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_BATCH_NORMALIZATION_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <ostream> -#include <sstream> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class BatchNormalizationLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "BatchNormalizationLayer"; - ss << "_I" << shape0; - ss << "_I" << shape1; - ss << "_I" << epsilon; - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &s, const BatchNormalizationLayerDataObject &obj) - { - s << static_cast<std::string>(obj); - return s; - } - -public: - TensorShape shape0; - TensorShape shape1; - float epsilon; -}; - -template <unsigned int Size> -using BatchNormalizationLayerDataset = GenericDataset<BatchNormalizationLayerDataObject, Size>; - -class RandomBatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset<3> -{ -public: - RandomBatchNormalizationLayerDataset() - : GenericDataset - { - BatchNormalizationLayerDataObject{ TensorShape(15U, 16U, 2U, 12U), TensorShape(2U), 0.1f }, - BatchNormalizationLayerDataObject{ TensorShape(21U, 11U, 12U, 7U), TensorShape(12U), 0.1f }, - BatchNormalizationLayerDataObject{ TensorShape(7U, 3U, 6U, 11U), TensorShape(6U), 0.1f }, - } - { - } - - ~RandomBatchNormalizationLayerDataset() = default; -}; - -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_BATCH_NORMALIZATION_LAYER_DATASET_H__ diff --git a/tests/validation_old/dataset/BorderModeDataset.h b/tests/validation_old/dataset/BorderModeDataset.h deleted file mode 100644 index d1eb48d3bd..0000000000 --- a/tests/validation_old/dataset/BorderModeDataset.h +++ /dev/null @@ -1,82 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_BORDER_MODE_DATASET_H__ -#define __ARM_COMPUTE_TEST_BORDER_MODE_DATASET_H__ - -#include "arm_compute/core/Types.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -#include <array> - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible border modes. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all border modes. - */ -class BorderModes -{ -public: - /** Type of the samples in the data set. */ - using sample = BorderMode; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _modes.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const BorderMode *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _modes.data(); - } - -private: - std::array<BorderMode, 3> _modes{ { BorderMode::UNDEFINED, BorderMode::CONSTANT, BorderMode::REPLICATE } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_BORDER_MODE_DATASET_H__ */ diff --git a/tests/validation_old/dataset/ConvertPolicyDataset.h b/tests/validation_old/dataset/ConvertPolicyDataset.h deleted file mode 100644 index e6e2169ffe..0000000000 --- a/tests/validation_old/dataset/ConvertPolicyDataset.h +++ /dev/null @@ -1,82 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASETS_CONVERT_POLICY_DATASETS_H__ -#define __ARM_COMPUTE_TEST_DATASETS_CONVERT_POLICY_DATASETS_H__ - -#include "arm_compute/core/Types.h" - -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible convert/overflow policies. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on different convert policies. - */ -class ConvertPolicies -{ -public: - /** Type of the samples in the data set. */ - using sample = ConvertPolicy; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _policies.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const ConvertPolicy *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _policies.data(); - } - -private: - std::array<ConvertPolicy, 2> _policies{ { ConvertPolicy::WRAP, ConvertPolicy::SATURATE } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_DATASETS_TEST_CONVERT_POLICY_DATASETS_H__ */ diff --git a/tests/validation_old/dataset/ConvolutionLayerDataset.h b/tests/validation_old/dataset/ConvolutionLayerDataset.h deleted file mode 100644 index e612c3ec93..0000000000 --- a/tests/validation_old/dataset/ConvolutionLayerDataset.h +++ /dev/null @@ -1,273 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_CONVOLUTION_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_CONVOLUTION_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "tests/validation_old/dataset/GenericDataset.h" -#include "tests/validation_old/dataset/ShapeDatasets.h" - -#include <sstream> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Convolution Layer data object */ -class ConvolutionLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "ConvolutionLayer"; - ss << "_I" << src_shape; - ss << "_K" << weights_shape; - ss << "_PS" << info; - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &os, const ConvolutionLayerDataObject &obj) - { - os << static_cast<std::string>(obj); - return os; - } - -public: - TensorShape src_shape; - TensorShape weights_shape; - TensorShape bias_shape; - TensorShape dst_shape; - PadStrideInfo info; -}; - -template <unsigned int Size> -using ConvolutionLayerDataset = GenericDataset<ConvolutionLayerDataObject, Size>; - -/** Data set containing small convolution layer shapes */ -class SmallConvolutionLayerDataset final : public ConvolutionLayerDataset<6> -{ -public: - SmallConvolutionLayerDataset() - : GenericDataset - { - ConvolutionLayerDataObject{ TensorShape(23U, 27U, 5U), TensorShape(3U, 3U, 5U, 21U), TensorShape(21U), TensorShape(11U, 25U, 21U), PadStrideInfo(2, 1, 0, 0) }, - ConvolutionLayerDataObject{ TensorShape(33U, 27U, 7U), TensorShape(5U, 5U, 7U, 16U), TensorShape(16U), TensorShape(11U, 12U, 16U), PadStrideInfo(3, 2, 1, 0) }, - ConvolutionLayerDataObject{ TensorShape(17U, 31U, 2U, 7U), TensorShape(5U, 5U, 2U, 19U), TensorShape(19U), TensorShape(15U, 15U, 19U, 7U), PadStrideInfo(1, 2, 1, 1) }, - ConvolutionLayerDataObject{ TensorShape(23U, 27U, 5U), TensorShape(3U, 1U, 5U, 21U), TensorShape(21U), TensorShape(11U, 27U, 21U), PadStrideInfo(2, 1, 0, 0) }, - ConvolutionLayerDataObject{ TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U, 16U), TensorShape(16U), TensorShape(11U, 11U, 16U), PadStrideInfo(3, 2, 1, 0) }, - ConvolutionLayerDataObject{ TensorShape(17U, 31U, 2U, 7U), TensorShape(5U, 3U, 2U, 19U), TensorShape(19U), TensorShape(15U, 16U, 19U, 7U), PadStrideInfo(1, 2, 1, 1) } - } - { - } - - ~SmallConvolutionLayerDataset() = default; -}; - -/** Data set containing direct convolution tensor shapes. */ -class DirectConvolutionShapes final : public ShapeDataset<4> -{ -public: - DirectConvolutionShapes() - : ShapeDataset(TensorShape(3U, 3U, 3U, 2U, 4U, 5U), - TensorShape(32U, 37U, 3U), - TensorShape(64U, 32U, 4U, 2U), - TensorShape(13U, 15U, 8U, 3U)) - { - } -}; - -/** AlexNet's convolution layers tensor shapes. */ -class AlexNetConvolutionLayerDataset final : public ConvolutionLayerDataset<5> -{ -public: - AlexNetConvolutionLayerDataset() - : GenericDataset - { - ConvolutionLayerDataObject{ TensorShape(227U, 227U, 3U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U), PadStrideInfo(4, 4, 0, 0) }, - ConvolutionLayerDataObject{ TensorShape(27U, 27U, 96U), TensorShape(5U, 5U, 96U, 256U), TensorShape(256U), TensorShape(27U, 27U, 256U), PadStrideInfo(1, 1, 2, 2) }, - ConvolutionLayerDataObject{ TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1) }, - ConvolutionLayerDataObject{ TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1) }, - ConvolutionLayerDataObject{ TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1) } - } - { - } - - ~AlexNetConvolutionLayerDataset() = default; -}; - -/** LeNet5's convolution layers tensor shapes. */ -class LeNet5ConvolutionLayerDataset final : public ConvolutionLayerDataset<2> -{ -public: - LeNet5ConvolutionLayerDataset() - : GenericDataset - { - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 1U), TensorShape(5U, 5U, 1U, 20U), TensorShape(20U), TensorShape(24U, 24U, 20U), PadStrideInfo(1, 1, 0, 0) }, - ConvolutionLayerDataObject{ TensorShape(12U, 12U, 20U), TensorShape(5U, 5U, 20U, 50U), TensorShape(50U), TensorShape(8U, 8U, 50U), PadStrideInfo(1, 1, 0, 0) }, - } - { - } - - ~LeNet5ConvolutionLayerDataset() = default; -}; - -/** GoogleLeNet v1 convolution layers tensor shapes (Part 1). - * - * @note Dataset is split into two to avoid a register allocation failure produced by clang in Android debug builds. - */ -class GoogLeNetConvolutionLayerDataset1 final : public ConvolutionLayerDataset<32> -{ -public: - GoogLeNetConvolutionLayerDataset1() - : GenericDataset - { - // conv1/7x7_s2 - ConvolutionLayerDataObject{ TensorShape(224U, 224U, 3U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(112U, 112U, 64U), PadStrideInfo(2, 2, 3, 3) }, - // conv2/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(56U, 56U, 64U), TensorShape(1U, 1U, 64U, 64U), TensorShape(64U), TensorShape(56U, 56U, 64U), PadStrideInfo(1, 1, 0, 0) }, - // conv2/3x3 - ConvolutionLayerDataObject{ TensorShape(56U, 56U, 64U), TensorShape(3U, 3U, 64U, 192U), TensorShape(192U), TensorShape(56U, 56U, 192U), PadStrideInfo(1, 1, 1, 1) }, - // inception_3a/1x1 - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0) }, - // inception_3a/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 0, 0) }, - // inception_3a/3x3 - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 96U), TensorShape(3U, 3U, 96U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 1, 1) }, - // inception_3a/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 16U), TensorShape(16U), TensorShape(28U, 28U, 16U), PadStrideInfo(1, 1, 0, 0) }, - // inception_3a/5x5 - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 16U), TensorShape(5U, 5U, 16U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 2, 2) }, - // inception_3a/pool_proj - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0) }, - // inception_3b/1x1, inception_3b/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 0, 0) }, - // inception_3b/3x3 - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 128U), TensorShape(3U, 3U, 128U, 192U), TensorShape(192U), TensorShape(28U, 28U, 192U), PadStrideInfo(1, 1, 1, 1) }, - // inception_3b/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0) }, - // inception_3b/5x5 - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 32U), TensorShape(5U, 5U, 32U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 2, 2) }, - // inception_3b/pool_proj - ConvolutionLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4a/1x1 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 192U), TensorShape(192U), TensorShape(14U, 14U, 192U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4a/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 96U), TensorShape(96U), TensorShape(14U, 14U, 96U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4a/3x3 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 96U), TensorShape(3U, 3U, 96U, 208U), TensorShape(208U), TensorShape(14U, 14U, 208U), PadStrideInfo(1, 1, 1, 1) }, - // inception_4a/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 16U), TensorShape(16U), TensorShape(14U, 14U, 16U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4a/5x5 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 16U), TensorShape(5U, 5U, 16U, 48U), TensorShape(48U), TensorShape(14U, 14U, 48U), PadStrideInfo(1, 1, 2, 2) }, - // inception_4a/pool_proj - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4b/1x1 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4b/3x3_reduce, inception_4d/1x1 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 112U), TensorShape(112U), TensorShape(14U, 14U, 112U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4b/3x3 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 112U), TensorShape(3U, 3U, 112U, 224U), TensorShape(224U), TensorShape(14U, 14U, 224U), PadStrideInfo(1, 1, 1, 1) }, - // inception_4b/5x5_reduce, inception_4c/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 24U), TensorShape(24U), TensorShape(14U, 14U, 24U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4b/5x5, inception_4c/5x5 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 24U), TensorShape(5U, 5U, 24U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 2, 2) }, - // inception_4b/pool_proj, inception_4c/pool_proj, inception_4d/pool_proj - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4c/1x1, inception_4c/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4c/3x3 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 1, 1) }, - // inception_4d/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 144U), TensorShape(144U), TensorShape(14U, 14U, 144U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4d/3x3 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 144U), TensorShape(3U, 3U, 144U, 288U), TensorShape(288U), TensorShape(14U, 14U, 288U), PadStrideInfo(1, 1, 1, 1) }, - // inception_4d/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4d/5x5 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 32U), TensorShape(5U, 5U, 32U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 2, 2) }, - } - { - } - - ~GoogLeNetConvolutionLayerDataset1() = default; -}; - -/** GoogleLeNet v1 convolution layers tensor shapes (Part 2). */ -class GoogLeNetConvolutionLayerDataset2 final : public ConvolutionLayerDataset<17> -{ -public: - GoogLeNetConvolutionLayerDataset2() - : GenericDataset - { - // inception_4e/1x1 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4e/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4e/3x3 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 160U), TensorShape(3U, 3U, 160U, 320U), TensorShape(320U), TensorShape(14U, 14U, 320U), PadStrideInfo(1, 1, 1, 1) }, - // inception_4e/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0) }, - // inception_4e/5x5 - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 32U), TensorShape(5U, 5U, 32U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 2, 2) }, - // inception_4e/pool_proj - ConvolutionLayerDataObject{ TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5a/1x1 - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 256U), TensorShape(256U), TensorShape(7U, 7U, 256U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5a/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 160U), TensorShape(160U), TensorShape(7U, 7U, 160U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5a/3x3 - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 160U), TensorShape(3U, 3U, 160U, 320U), TensorShape(320U), TensorShape(7U, 7U, 320U), PadStrideInfo(1, 1, 1, 1) }, - // inception_5a/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 32U), TensorShape(32U), TensorShape(7U, 7U, 32U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5a/5x5 - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 32U), TensorShape(5U, 5U, 32U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 2, 2) }, - // inception_5a/pool_proj, inception_5b/pool_proj - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5b/1x1 - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 384U), TensorShape(384U), TensorShape(7U, 7U, 384U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5b/3x3_reduce - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 192U), TensorShape(192U), TensorShape(7U, 7U, 192U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5b/3x3 - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 192U), TensorShape(3U, 3U, 192U, 384U), TensorShape(384U), TensorShape(7U, 7U, 384U), PadStrideInfo(1, 1, 1, 1) }, - // inception_5b/5x5_reduce - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 48U), TensorShape(48U), TensorShape(7U, 7U, 48U), PadStrideInfo(1, 1, 0, 0) }, - // inception_5b/5x5 - ConvolutionLayerDataObject{ TensorShape(7U, 7U, 48U), TensorShape(5U, 5U, 48U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 2, 2) } - } - { - } - - ~GoogLeNetConvolutionLayerDataset2() = default; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATASET_CONVOLUTION_LAYER_DATASET_H__ */ diff --git a/tests/validation_old/dataset/DataTypeDatasets.h b/tests/validation_old/dataset/DataTypeDatasets.h deleted file mode 100644 index 34fc782b10..0000000000 --- a/tests/validation_old/dataset/DataTypeDatasets.h +++ /dev/null @@ -1,193 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATA_TYPE_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATA_TYPE_DATASET_H__ - -#include "arm_compute/core/Types.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Abstract data set containing data types. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on different data types. - */ -template <unsigned int Size> -class DataTypes -{ -public: - /** Type of the samples in the data set. */ - using sample = DataType; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _types.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const DataType *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _types.data(); - } - -protected: - /** Protected constructor to make the class abstract. */ - template <typename... Ts> - DataTypes(Ts &&... types) - : _types{ { types... } } - { - } - - /** Protected destructor to prevent deletion of derived classes through a - * pointer to the base class. - */ - ~DataTypes() = default; - -private: - std::array<DataType, Size> _types; -}; - -/** Data set containing all data types. */ -class AllDataTypes final : public DataTypes<14> -{ -public: - AllDataTypes() - : DataTypes{ DataType::U8, DataType::S8, DataType::U16, DataType::S16, - DataType::U32, DataType::S32, DataType::U64, DataType::S64, - DataType::F16, DataType::F32, DataType::F64, DataType::SIZET, - DataType::QS8, DataType::QS16 } - { - } - - ~AllDataTypes() = default; -}; - -/** Data set containing all unsigned data types. */ -class UnsignedDataTypes final : public DataTypes<4> -{ -public: - UnsignedDataTypes() - : DataTypes{ DataType::U8, DataType::U16, DataType::U32, DataType::U64 } - { - } - - ~UnsignedDataTypes() = default; -}; - -/** Data set containing all signed data types. */ -class SignedDataTypes final : public DataTypes<4> -{ -public: - SignedDataTypes() - : DataTypes{ DataType::S8, DataType::S16, DataType::S32, DataType::S64 } - { - } - - ~SignedDataTypes() = default; -}; - -/** Data set containing all floating point data types. */ -class FloatDataTypes final : public DataTypes<3> -{ -public: - FloatDataTypes() - : DataTypes{ DataType::F16, DataType::F32, DataType::F64 } - { - } - - ~FloatDataTypes() = default; -}; - -/** Data set containing all fixed point data types. */ -class FixedPointDataTypes final : public DataTypes<2> -{ -public: - FixedPointDataTypes() - : DataTypes{ DataType::QS8, DataType::QS16 } - { - } - - ~FixedPointDataTypes() = default; -}; - -/** Supported CNN float types. */ -class CNNFloatDataTypes final : public DataTypes<1> -{ -public: - CNNFloatDataTypes() - : DataTypes{ DataType::F32 } - { - } - - ~CNNFloatDataTypes() = default; -}; - -/** Supported CNN fixed point types. */ -class CNNFixedPointDataTypes final : public DataTypes<2> -{ -public: - CNNFixedPointDataTypes() - : DataTypes{ DataType::QS8, DataType::QS16 } - { - } - - ~CNNFixedPointDataTypes() = default; -}; - -/** Supported CNN types. */ -class CNNDataTypes final : public DataTypes<2> -{ -public: - CNNDataTypes() - : DataTypes{ DataType::F32, DataType::QS8 } - { - } - - ~CNNDataTypes() = default; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATA_TYPE_DATASET_H__ */ diff --git a/tests/validation_old/dataset/FullyConnectedLayerDataset.h b/tests/validation_old/dataset/FullyConnectedLayerDataset.h deleted file mode 100644 index 8a8fed8f0f..0000000000 --- a/tests/validation_old/dataset/FullyConnectedLayerDataset.h +++ /dev/null @@ -1,155 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_FULLY_CONNECTED_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_FULLY_CONNECTED_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <sstream> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class FullyConnectedLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "FullyConnectedLayer"; - ss << "_I" << src_shape; - ss << "_K" << weights_shape; - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &os, const FullyConnectedLayerDataObject &obj) - { - os << static_cast<std::string>(obj); - return os; - } - -public: - TensorShape src_shape; - TensorShape weights_shape; - TensorShape bias_shape; - TensorShape dst_shape; - bool transpose_weights; - bool are_weights_reshaped; -}; - -template <unsigned int Size> -using FullyConnectedLayerDataset = GenericDataset<FullyConnectedLayerDataObject, Size>; - -class SmallFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<5> -{ -public: - SmallFullyConnectedLayerDataset() - : GenericDataset - { - FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U), true, false }, - FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 7U, 3U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U), true, false }, - FullyConnectedLayerDataObject{ TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U), true, false }, - FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U), true, true }, - FullyConnectedLayerDataObject{ TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U), true, true }, - } - { - } - - ~SmallFullyConnectedLayerDataset() = default; -}; - -class LargeFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<5> -{ -public: - LargeFullyConnectedLayerDataset() - : GenericDataset - { - FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U), true, false }, - FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 257U, 2U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U), true, false }, - FullyConnectedLayerDataObject{ TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U), true, false }, - FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U), true, true }, - FullyConnectedLayerDataObject{ TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U), true, true }, - } - { - } - - ~LargeFullyConnectedLayerDataset() = default; -}; - -class AlexNetFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<3> -{ -public: - AlexNetFullyConnectedLayerDataset() - : GenericDataset - { - FullyConnectedLayerDataObject{ TensorShape(6U, 6U, 256U), TensorShape(9216U, 4096U), TensorShape(4096U), TensorShape(4096U), true }, - FullyConnectedLayerDataObject{ TensorShape(4096U), TensorShape(4096U, 4096U), TensorShape(4096U), TensorShape(4096U), true }, - FullyConnectedLayerDataObject{ TensorShape(4096U), TensorShape(4096U, 1000U), TensorShape(1000U), TensorShape(1000U), true }, - } - { - } - - ~AlexNetFullyConnectedLayerDataset() = default; -}; - -class LeNet5FullyConnectedLayerDataset final : public FullyConnectedLayerDataset<2> -{ -public: - LeNet5FullyConnectedLayerDataset() - : GenericDataset - { - FullyConnectedLayerDataObject{ TensorShape(4U, 4U, 50U), TensorShape(800U, 500U), TensorShape(500U), TensorShape(500U) }, - FullyConnectedLayerDataObject{ TensorShape(500U), TensorShape(500U, 10U), TensorShape(10U), TensorShape(10U) }, - } - { - } - - ~LeNet5FullyConnectedLayerDataset() = default; -}; - -class GoogLeNetFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<1> -{ -public: - GoogLeNetFullyConnectedLayerDataset() - : GenericDataset - { - FullyConnectedLayerDataObject{ TensorShape(1024U), TensorShape(1024U, 1000U), TensorShape(1000U), TensorShape(1000U), true }, - } - { - } - - ~GoogLeNetFullyConnectedLayerDataset() = default; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATASET_FULLY_CONNECTED_LAYER_DATASET_H__ */ diff --git a/tests/validation_old/dataset/GEMMDataset.h b/tests/validation_old/dataset/GEMMDataset.h deleted file mode 100644 index ee2a387452..0000000000 --- a/tests/validation_old/dataset/GEMMDataset.h +++ /dev/null @@ -1,220 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_GEMM_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_GEMM_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <ostream> -#include <sstream> - -#include <tuple> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class GEMMDataObject -{ -public: - //Data object used for matrix multiple - //D = alpha * A * B + beta * C; - TensorShape shape_a; - TensorShape shape_b; - TensorShape shape_c; - TensorShape shape_d; - float alpha; - float beta; - - operator std::string() const - { - std::stringstream ss; - ss << "GEMM"; - ss << "_A" << shape_a; - ss << "_B" << shape_b; - ss << "_C" << shape_c; - ss << "_D" << shape_d; - ss << "_alpha" << alpha; - ss << "_beta" << beta; - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &os, const GEMMDataObject &obj) - { - os << static_cast<std::string>(obj); - return os; - } -}; - -class SmallGEMMDataset : public GenericDataset<GEMMDataObject, 4> -{ -public: - SmallGEMMDataset() - : GenericDataset - { - GEMMDataObject{ TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), TensorShape(33U, 13U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(31U, 1U), TensorShape(23U, 31U), TensorShape(23U, 1U), TensorShape(23U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(38U, 12U), TensorShape(21U, 38U), TensorShape(21U, 12U), TensorShape(21U, 12U), 0.2f, 1.2f }, - GEMMDataObject{ TensorShape(32U, 1U), TensorShape(17U, 32U), TensorShape(17U, 1U), TensorShape(17U, 1U), 0.4f, 0.7f }, - } - { - } - - ~SmallGEMMDataset() = default; -}; - -class LargeGEMMDataset : public GenericDataset<GEMMDataObject, 4> -{ -public: - LargeGEMMDataset() - : GenericDataset - { - GEMMDataObject{ TensorShape(923U, 429U), TensorShape(871U, 923U), TensorShape(871U, 429U), TensorShape(871U, 429U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1021U, 1U), TensorShape(783U, 1021U), TensorShape(783U, 1U), TensorShape(783U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(681U, 1023U), TensorShape(213U, 681U), TensorShape(213U, 1023U), TensorShape(213U, 1023U), 0.2f, 1.2f }, - GEMMDataObject{ TensorShape(941U, 1U), TensorShape(623U, 941U), TensorShape(623U, 1U), TensorShape(623U, 1U), 0.4f, 0.7f }, - } - { - } - - ~LargeGEMMDataset() = default; -}; - -class GoogLeNetGEMMDataset1 : public GenericDataset<GEMMDataObject, 32> -{ -public: - GoogLeNetGEMMDataset1() - : GenericDataset - { - GEMMDataObject{ TensorShape(147U, 12544U), TensorShape(64U, 147U), TensorShape(64U, 12544U), TensorShape(64U, 12544U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(64U, 3136U), TensorShape(64U, 64U), TensorShape(64U, 3136U), TensorShape(64U, 3136U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(576U, 3136U), TensorShape(192U, 576U), TensorShape(192U, 3136U), TensorShape(192U, 3136U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(192U, 784U), TensorShape(64U, 192U), TensorShape(64U, 784U), TensorShape(64U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(192U, 784U), TensorShape(96U, 192U), TensorShape(96U, 784U), TensorShape(96U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(864U, 784U), TensorShape(128U, 864U), TensorShape(128U, 784U), TensorShape(128U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(192U, 784U), TensorShape(16U, 192U), TensorShape(16U, 784U), TensorShape(16U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(400U, 784U), TensorShape(32U, 400U), TensorShape(32U, 784U), TensorShape(32U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(192U, 784U), TensorShape(32U, 192U), TensorShape(32U, 784U), TensorShape(32U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(256U, 784U), TensorShape(128U, 256U), TensorShape(128U, 784U), TensorShape(128U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(256U, 784U), TensorShape(128U, 256U), TensorShape(128U, 784U), TensorShape(128U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1152U, 784U), TensorShape(192U, 1152U), TensorShape(192U, 784U), TensorShape(192U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(256U, 784U), TensorShape(32U, 256U), TensorShape(32U, 784U), TensorShape(32U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(800U, 784U), TensorShape(96U, 800U), TensorShape(96U, 784U), TensorShape(96U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(256U, 784U), TensorShape(64U, 256U), TensorShape(64U, 784U), TensorShape(64U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(480U, 196U), TensorShape(192U, 480U), TensorShape(192U, 196U), TensorShape(192U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(480U, 196U), TensorShape(96U, 480U), TensorShape(96U, 196U), TensorShape(96U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(864U, 196U), TensorShape(204U, 864U), TensorShape(204U, 196U), TensorShape(204U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(480U, 196U), TensorShape(16U, 480U), TensorShape(16U, 196U), TensorShape(16U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(400U, 196U), TensorShape(48U, 400U), TensorShape(48U, 196U), TensorShape(48U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(480U, 196U), TensorShape(64U, 480U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(508U, 196U), TensorShape(160U, 508U), TensorShape(160U, 196U), TensorShape(160U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(508U, 196U), TensorShape(112U, 508U), TensorShape(112U, 196U), TensorShape(112U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1008U, 196U), TensorShape(224U, 1008U), TensorShape(224U, 196U), TensorShape(224U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(508U, 196U), TensorShape(24U, 508U), TensorShape(24U, 196U), TensorShape(24U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(600U, 196U), TensorShape(64U, 600U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(508U, 196U), TensorShape(64U, 508U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(128U, 512U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(128U, 512U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1152U, 196U), TensorShape(256U, 1152U), TensorShape(256U, 196U), TensorShape(256U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(24U, 512U), TensorShape(24U, 196U), TensorShape(24U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(600U, 196U), TensorShape(64U, 600U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f } - } - { - } - - ~GoogLeNetGEMMDataset1() = default; -}; - -class GoogLeNetGEMMDataset2 : public GenericDataset<GEMMDataObject, 32> -{ -public: - GoogLeNetGEMMDataset2() - : GenericDataset - { - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(64U, 512U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(112U, 512U), TensorShape(112U, 196U), TensorShape(112U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(144U, 512U), TensorShape(144U, 196U), TensorShape(144U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1296U, 196U), TensorShape(288U, 1296U), TensorShape(288U, 196U), TensorShape(288U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(32U, 512U), TensorShape(32U, 196U), TensorShape(32U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(800U, 196U), TensorShape(64U, 800U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(512U, 196U), TensorShape(64U, 512U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(528U, 196U), TensorShape(256U, 528U), TensorShape(256U, 196U), TensorShape(256U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(528U, 196U), TensorShape(160U, 528U), TensorShape(160U, 196U), TensorShape(160U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1440U, 196U), TensorShape(320U, 1440U), TensorShape(320U, 196U), TensorShape(320U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(528U, 196U), TensorShape(32U, 528U), TensorShape(32U, 196U), TensorShape(32U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(800U, 196U), TensorShape(128U, 800U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(528U, 196U), TensorShape(128U, 528U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(256U, 832U), TensorShape(256U, 49U), TensorShape(256U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(160U, 832U), TensorShape(160U, 49U), TensorShape(160U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1440U, 49U), TensorShape(320U, 1440U), TensorShape(320U, 49U), TensorShape(320U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(48U, 832U), TensorShape(48U, 49U), TensorShape(48U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1200U, 49U), TensorShape(128U, 1200U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(128U, 832U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(384U, 832U), TensorShape(384U, 49U), TensorShape(384U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(192U, 832U), TensorShape(192U, 49U), TensorShape(192U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1728U, 49U), TensorShape(384U, 1728U), TensorShape(384U, 49U), TensorShape(384U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(48U, 832U), TensorShape(48U, 49U), TensorShape(48U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1200U, 49U), TensorShape(128U, 1200U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(832U, 49U), TensorShape(128U, 832U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(508U, 16U), TensorShape(128U, 508U), TensorShape(128U, 16U), TensorShape(128U, 16U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(2048U, 1U), TensorShape(1024U, 2048U), TensorShape(1024U, 1U), TensorShape(1024U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1024U, 1U), TensorShape(1008U, 1024U), TensorShape(1008U, 1U), TensorShape(1008U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(528U, 16U), TensorShape(128U, 528U), TensorShape(128U, 16U), TensorShape(128U, 16U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(2048U, 1U), TensorShape(1024U, 2048U), TensorShape(1024U, 1U), TensorShape(1024U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1024U, 1U), TensorShape(1008U, 1024U), TensorShape(1008U, 1U), TensorShape(1008U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1024U, 1U), TensorShape(1008U, 1024U), TensorShape(1008U, 1U), TensorShape(1008U, 1U), 1.0f, 0.0f } - } - { - } - - ~GoogLeNetGEMMDataset2() = default; -}; - -class MatrixMultiplyDataset : public GenericDataset<GEMMDataObject, 3> -{ -public: - MatrixMultiplyDataset() - : GenericDataset - { - GEMMDataObject{ TensorShape(1024U, 1U), TensorShape(1000U, 1024U), TensorShape(1000U, 1U), TensorShape(1000U, 1U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(256U, 784U), TensorShape(64U, 256U), TensorShape(64U, 784U), TensorShape(64U, 784U), 1.0f, 0.0f }, - GEMMDataObject{ TensorShape(1152U, 2704U), TensorShape(256U, 1152U), TensorShape(256U, 2704U), TensorShape(256U, 2704U), 1.0f, 0.0f }, - } - { - } - - ~MatrixMultiplyDataset() = default; -}; -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_GEMM_DATASET_H__ diff --git a/tests/validation_old/dataset/GenericDataset.h b/tests/validation_old/dataset/GenericDataset.h deleted file mode 100644 index d2c9f2db34..0000000000 --- a/tests/validation_old/dataset/GenericDataset.h +++ /dev/null @@ -1,97 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_GENERIC_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_GENERIC_DATASET_H__ - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" - -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Abstract data set containing multiple objects T. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on different configurations. - */ -template <class T, unsigned int Size> -class GenericDataset -{ -public: - /** Type of the samples in the data set. */ - using sample = T; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _data.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const T *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _data.data(); - } - -protected: - /** Protected constructor to make the class abstract. */ - template <typename... Ts> - GenericDataset(Ts... objs) - : _data{ { objs... } } - { - } - - /** Protected destructor to prevent deletion of derived class through a - * pointer to the base class. - */ - ~GenericDataset() = default; - -private: - std::array<T, Size> _data; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATASET_GENERIC_DATASET_H__ */ diff --git a/tests/validation_old/dataset/ImageDatasets.h b/tests/validation_old/dataset/ImageDatasets.h deleted file mode 100644 index 7fcd067e1b..0000000000 --- a/tests/validation_old/dataset/ImageDatasets.h +++ /dev/null @@ -1,120 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_IMAGE_DATASETS_H__ -#define __ARM_COMPUTE_TEST_IMAGE_DATASETS_H__ - -#include <string> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Abstract data set containing image names. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on different images. - */ -template <unsigned int Size> -class ImageDataset -{ -public: - /** Type of the samples in the data set. */ - using sample = const std::string; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _images.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const std::string *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _images.data(); - } - -protected: - /** Protected constructor to make the class abstract. */ - template <typename... Ts> - ImageDataset(Ts... images) - : _images{ { images... } } - { - } - - /** Protected destructor to prevent deletion of derived class through a - * pointer to the base class. - */ - ~ImageDataset() = default; - -private: - std::array<std::string, Size> _images; -}; - -/** Data set containing names of small images. */ -class SmallImages final : public ImageDataset<2> -{ -public: - SmallImages() - : ImageDataset("128x128.ppm", "640x480.ppm") - { - } -}; - -/** Data set containing names of large images. */ -class LargeImages final : public ImageDataset<3> -{ -public: - LargeImages() -#ifdef INTERNAL_ONLY - : ImageDataset("1280x720.ppm", "1920x1080.ppm", "4160x3120.ppm") - // The 4k image is too large to distribute -#else /* INTERNAL_ONLY */ - : ImageDataset("1280x720.ppm", "1920x1080.ppm") -#endif /* INTERNAL_ONLY */ - { - } -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_IMAGE_DATASETS_H__ */ diff --git a/tests/validation_old/dataset/InterpolationPolicyDataset.h b/tests/validation_old/dataset/InterpolationPolicyDataset.h deleted file mode 100644 index 64cc9bf239..0000000000 --- a/tests/validation_old/dataset/InterpolationPolicyDataset.h +++ /dev/null @@ -1,80 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_INTERPOLATION_POLICY_DATASET_H__ -#define __ARM_COMPUTE_TEST_INTERPOLATION_POLICY_DATASET_H__ - -#include "arm_compute/core/Types.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible interpolation policies. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all interpolation policies. - */ -class InterpolationPolicies -{ -public: - /** Type of the samples in the data set. */ - using sample = InterpolationPolicy; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _policies.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const InterpolationPolicy *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _policies.data(); - } - -private: - std::array<InterpolationPolicy, 3> _policies{ { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::AREA } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_INTERPOLATION_POLICY_DATASET_H__ */ diff --git a/tests/validation_old/dataset/MatrixPatternDataset.h b/tests/validation_old/dataset/MatrixPatternDataset.h deleted file mode 100644 index 5100ae0eaf..0000000000 --- a/tests/validation_old/dataset/MatrixPatternDataset.h +++ /dev/null @@ -1,82 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_DATASETS_TEST_MATRIX_PATTERN_DATASET_H__ -#define __ARM_COMPUTE_DATASETS_TEST_MATRIX_PATTERN_DATASET_H__ - -#include "arm_compute/core/Types.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -#include <array> - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible border modes. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all border modes. - */ -class MatrixPatterns -{ -public: - /** Type of the samples in the data set. */ - using sample = MatrixPattern; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _patterns.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const MatrixPattern *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _patterns.data(); - } - -private: - std::array<MatrixPattern, 4> _patterns{ { MatrixPattern::BOX, MatrixPattern::CROSS, MatrixPattern::DISK, MatrixPattern::OTHER } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_DATASETS_TEST_MATRIX_PATTERN_DATASET_H__ */ diff --git a/tests/validation_old/dataset/NonLinearFilterFunctionDataset.h b/tests/validation_old/dataset/NonLinearFilterFunctionDataset.h deleted file mode 100644 index 5beeb141b1..0000000000 --- a/tests/validation_old/dataset/NonLinearFilterFunctionDataset.h +++ /dev/null @@ -1,82 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_DATASETS_TEST_NON_LINEAR_FILTER_FUNCTION_DATASET_H__ -#define __ARM_COMPUTE_DATASETS_TEST_NON_LINEAR_FILTER_FUNCTION_DATASET_H__ - -#include "arm_compute/core/Types.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -#include <array> - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible non linear filter function. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all border modes. - */ -class NonLinearFilterFunctions -{ -public: - /** Type of the samples in the data set. */ - using sample = NonLinearFilterFunction; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _functions.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const NonLinearFilterFunction *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _functions.data(); - } - -private: - std::array<NonLinearFilterFunction, 3> _functions{ { NonLinearFilterFunction::MAX, NonLinearFilterFunction::MEDIAN, NonLinearFilterFunction::MIN } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_DATASETS_TEST_NON_LINEAR_FILTER_FUNCTION_DATASET_H__ */ diff --git a/tests/validation_old/dataset/NormalizationLayerDataset.h b/tests/validation_old/dataset/NormalizationLayerDataset.h deleted file mode 100644 index 489d1e0af2..0000000000 --- a/tests/validation_old/dataset/NormalizationLayerDataset.h +++ /dev/null @@ -1,99 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <sstream> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class NormalizationLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "NormalizationLayer"; - ss << "_I" << shape; - ss << "_F_" << info.type(); - ss << "_S_" << info.norm_size(); - return ss.str(); - } - -public: - TensorShape shape; - NormalizationLayerInfo info; -}; - -template <unsigned int Size> -using NormalizationLayerDataset = GenericDataset<NormalizationLayerDataObject, Size>; - -class GoogLeNetNormalizationLayerDataset final : public NormalizationLayerDataset<2> -{ -public: - GoogLeNetNormalizationLayerDataset() - : GenericDataset - { - // conv2/norm2 - NormalizationLayerDataObject{ TensorShape(56U, 56U, 192U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }, - // pool1/norm1 - NormalizationLayerDataObject{ TensorShape(56U, 56U, 64U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) } - } - { - } - - ~GoogLeNetNormalizationLayerDataset() = default; -}; - -class AlexNetNormalizationLayerDataset final : public NormalizationLayerDataset<2> -{ -public: - AlexNetNormalizationLayerDataset() - : GenericDataset - { - NormalizationLayerDataObject{ TensorShape(55U, 55U, 96U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }, - NormalizationLayerDataObject{ TensorShape(27U, 27U, 256U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }, - } - { - } - - ~AlexNetNormalizationLayerDataset() = default; -}; - -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ */ diff --git a/tests/validation_old/dataset/NormalizationTypeDataset.h b/tests/validation_old/dataset/NormalizationTypeDataset.h deleted file mode 100644 index 2a89dbea30..0000000000 --- a/tests/validation_old/dataset/NormalizationTypeDataset.h +++ /dev/null @@ -1,80 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_NORMALIZATION_TYPE_DATASET_H__ -#define __ARM_COMPUTE_TEST_NORMALIZATION_TYPE_DATASET_H__ - -#include "arm_compute/core/Types.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible normalization types. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all normalization types. - */ -class NormalizationTypes -{ -public: - /** Type of the samples in the data set. */ - using sample = NormType; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _types.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const NormType *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _types.data(); - } - -private: - const std::array<NormType, 3> _types{ { NormType::IN_MAP_1D, NormType::IN_MAP_2D, NormType::CROSS_MAP } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_NORMALIZATION_TYPE_DATASET_H__ */ diff --git a/tests/validation_old/dataset/PoolingLayerDataset.h b/tests/validation_old/dataset/PoolingLayerDataset.h deleted file mode 100644 index a4e570c35e..0000000000 --- a/tests/validation_old/dataset/PoolingLayerDataset.h +++ /dev/null @@ -1,138 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_POOLING_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_POOLING_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class PoolingLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "PoolingLayer"; - ss << "_I" << src_shape; - ss << "_S_" << info.pool_size(); - ss << "_F_" << info.pool_type(); - ss << "_PS" << info.pad_stride_info(); - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &s, const PoolingLayerDataObject &obj) - { - s << static_cast<std::string>(obj); - return s; - } - -public: - TensorShape src_shape; - TensorShape dst_shape; - PoolingLayerInfo info; -}; - -template <unsigned int Size> -using PoolingLayerDataset = GenericDataset<PoolingLayerDataObject, Size>; - -class AlexNetPoolingLayerDataset final : public PoolingLayerDataset<3> -{ -public: - AlexNetPoolingLayerDataset() - : GenericDataset - { - PoolingLayerDataObject{ TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 96U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)) }, - PoolingLayerDataObject{ TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)) }, - PoolingLayerDataObject{ TensorShape(13U, 13U, 256U), TensorShape(6U, 6U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)) }, - } - { - } - - ~AlexNetPoolingLayerDataset() = default; -}; - -class LeNet5PoolingLayerDataset final : public PoolingLayerDataset<2> -{ -public: - LeNet5PoolingLayerDataset() - : GenericDataset - { - PoolingLayerDataObject{ TensorShape(24U, 24U, 20U), TensorShape(12U, 12U, 20U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)) }, - PoolingLayerDataObject{ TensorShape(8U, 8U, 50U), TensorShape(4U, 4U, 50U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)) }, - } - { - } - - ~LeNet5PoolingLayerDataset() = default; -}; - -class GoogLeNetPoolingLayerDataset final : public PoolingLayerDataset<10> -{ -public: - GoogLeNetPoolingLayerDataset() - : GenericDataset - { - // FIXME: Add support for 7x7 pooling layer pool5/7x7_s1 - // pool1/3x3_s2 - PoolingLayerDataObject{ TensorShape(112U, 112U, 64U), TensorShape(56U, 56U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // pool2/3x3_s2 - PoolingLayerDataObject{ TensorShape(56U, 56U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // inception_3a/pool - PoolingLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // inception_3b/pool - PoolingLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // pool3/3x3_s2 - PoolingLayerDataObject{ TensorShape(28U, 28U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // inception_4a/pool - PoolingLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // inception_4b/pool, inception_4c/pool, inception_4d/pool - PoolingLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // inception_4e/pool - PoolingLayerDataObject{ TensorShape(14U, 14U, 528U), TensorShape(14U, 14U, 528U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // pool4/3x3_s2 - PoolingLayerDataObject{ TensorShape(14U, 14U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // inception_5a/pool, inception_5b/pool - PoolingLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - } - { - } - - ~GoogLeNetPoolingLayerDataset() = default; -}; -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_POOLING_LAYER_DATASET_H__ diff --git a/tests/validation_old/dataset/PoolingTypesDataset.h b/tests/validation_old/dataset/PoolingTypesDataset.h deleted file mode 100644 index a826df35ce..0000000000 --- a/tests/validation_old/dataset/PoolingTypesDataset.h +++ /dev/null @@ -1,55 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_POOLING_TYPE_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_POOLING_TYPE_DATASET_H__ - -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible pooling types. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on all pooling types. - */ -class PoolingTypes final : public GenericDataset<PoolingType, 2> -{ -public: - PoolingTypes() - : GenericDataset{ PoolingType::MAX, PoolingType::AVG } - { - } - - ~PoolingTypes() = default; -}; -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_POOLING_TYPE_DATASET_H__ diff --git a/tests/validation_old/dataset/RoundingPolicyDataset.h b/tests/validation_old/dataset/RoundingPolicyDataset.h deleted file mode 100644 index af946b41bd..0000000000 --- a/tests/validation_old/dataset/RoundingPolicyDataset.h +++ /dev/null @@ -1,82 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_ROUNDING_POLICY_DATASETS_H__ -#define __ARM_COMPUTE_TEST_ROUNDING_POLICY_DATASETS_H__ - -#include "arm_compute/core/Types.h" - -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Data set containing all possible rounding policies. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on different rounding policies. - */ -class RoundingPolicies -{ -public: - /** Type of the samples in the data set. */ - using sample = RoundingPolicy; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _policies.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const RoundingPolicy *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _policies.data(); - } - -private: - std::array<RoundingPolicy, 3> _policies{ { RoundingPolicy::TO_ZERO, RoundingPolicy::TO_NEAREST_UP, RoundingPolicy::TO_NEAREST_EVEN } }; -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_ROUNDING_POLICY_DATASETS_H__ */ diff --git a/tests/validation_old/dataset/ShapeDatasets.h b/tests/validation_old/dataset/ShapeDatasets.h deleted file mode 100644 index 3c986ab7ae..0000000000 --- a/tests/validation_old/dataset/ShapeDatasets.h +++ /dev/null @@ -1,152 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ -#define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ - -#include "arm_compute/core/TensorShape.h" - -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -/** Abstract data set containing tensor shapes. - * - * Can be used as input for Boost data test cases to automatically run a test - * case on different tensor shapes. - */ -template <unsigned int Size> -class ShapeDataset -{ -public: - /** Type of the samples in the data set. */ - using sample = TensorShape; - - /** Dimensionality of the data set. */ - enum - { - arity = 1 - }; - - /** Number of samples in the data set. */ -#ifdef BOOST - boost::unit_test::data::size_t size() const -#else /* BOOST */ - unsigned int size() const -#endif /* BOOST */ - { - return _shapes.size(); - } - - /** Type of the iterator used to step through all samples in the data set. - * Needs to support operator*() and operator++() which a pointer does. - */ - using iterator = const TensorShape *; - - /** Iterator to the first sample in the data set. */ - iterator begin() const - { - return _shapes.data(); - } - -protected: - /** Protected constructor to make the class abstract. */ - template <typename... Ts> - ShapeDataset(Ts... shapes) - : _shapes{ { shapes... } } - { - } - - /** Protected destructor to prevent deletion of derived class through a - * pointer to the base class. - */ - ~ShapeDataset() = default; - -private: - std::array<TensorShape, Size> _shapes; -}; - -/** Data set containing one 1D tensor shape. */ -class Small1DShape final : public ShapeDataset<1> -{ -public: - Small1DShape() - : ShapeDataset(TensorShape(256U)) - { - } -}; - -/** Data set containing two small 2D tensor shapes. */ -class Small2DShapes final : public ShapeDataset<2> -{ -public: - Small2DShapes() - : ShapeDataset(TensorShape(17U, 17U), - TensorShape(640U, 480U)) - { - } -}; - -/** Data set containing small tensor shapes. */ -class SmallShapes final : public ShapeDataset<3> -{ -public: - SmallShapes() - : ShapeDataset(TensorShape(7U, 7U), - TensorShape(27U, 13U, 2U), - TensorShape(128U, 64U, 1U, 3U)) - { - } -}; - -/** Data set containing large tensor shapes. */ -class LargeShapes final : public ShapeDataset<3> -{ -public: - LargeShapes() - : ShapeDataset(TensorShape(1920U, 1080U), - TensorShape(1245U, 652U, 1U, 3U), - TensorShape(4160U, 3120U)) - { - } -}; - -/** Data set containing two 2D large tensor shapes. */ -class Large2DShapes final : public ShapeDataset<2> -{ -public: - Large2DShapes() - : ShapeDataset(TensorShape(1920U, 1080U), - TensorShape(4160U, 3120U)) - { - } -}; -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ */ diff --git a/tests/validation_old/dataset/ThresholdDataset.h b/tests/validation_old/dataset/ThresholdDataset.h deleted file mode 100644 index 789ffac14a..0000000000 --- a/tests/validation_old/dataset/ThresholdDataset.h +++ /dev/null @@ -1,95 +0,0 @@ -/* - * Copyright (c) 2017 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. - */ -#ifndef __ARM_COMPUTE_TEST_DATASET_THRESHOLD_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_THRESHOLD_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <ostream> -#include <sstream> - -#include <tuple> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class ThresholdDataObject -{ -public: - uint8_t threshold; - uint8_t false_value; - uint8_t true_value; - ThresholdType type; - uint8_t upper; - - operator std::string() const - { - std::stringstream ss; - ss << "Threshold"; - ss << "_threshold_value" << threshold; - ss << "_false_value" << std::boolalpha << false_value; - ss << "_true_value" << std::boolalpha << true_value; - ss << "_type"; - ss << ((type == ThresholdType::BINARY) ? "binary" : "range"); - ss << "_upper" << upper; - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &os, const ThresholdDataObject &obj) - { - os << static_cast<std::string>(obj); - return os; - } -}; - -class ThresholdDataset : public GenericDataset<ThresholdDataObject, 4> -{ -public: - ThresholdDataset() - : GenericDataset - { - ThresholdDataObject{ 10U, 25U, 3U, ThresholdType::BINARY, 0U }, - ThresholdDataObject{ 20U, 1U, 0U, ThresholdType::BINARY, 0U }, - ThresholdDataObject{ 30U, 1U, 0U, ThresholdType::RANGE, 100U }, - ThresholdDataObject{ 100U, 1U, 0U, ThresholdType::RANGE, 200U }, - } - { - } - - ~ThresholdDataset() = default; -}; - -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_DATASET_THRESHOLD_DATASET_H__ */ |