/* * Copyright (c) 2018 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_SPLIT_DATASET #define ARM_COMPUTE_TEST_SPLIT_DATASET #include "utils/TypePrinter.h" #include "arm_compute/core/Types.h" namespace arm_compute { namespace test { namespace datasets { class SplitDataset { public: using type = std::tuple; struct iterator { iterator(std::vector::const_iterator tensor_shapes_it, std::vector::const_iterator axis_values_it, std::vector::const_iterator splits_values_it) : _tensor_shapes_it{ std::move(tensor_shapes_it) }, _axis_values_it{ std::move(axis_values_it) }, _splits_values_it{ std::move(splits_values_it) } { } std::string description() const { std::stringstream description; description << "Shape=" << *_tensor_shapes_it << ":"; description << "Axis=" << *_axis_values_it << ":"; description << "Splits=" << *_splits_values_it << ":"; return description.str(); } SplitDataset::type operator*() const { return std::make_tuple(*_tensor_shapes_it, *_axis_values_it, *_splits_values_it); } iterator &operator++() { ++_tensor_shapes_it; ++_axis_values_it; ++_splits_values_it; return *this; } private: std::vector::const_iterator _tensor_shapes_it; std::vector::const_iterator _axis_values_it; std::vector::const_iterator _splits_values_it; }; iterator begin() const { return iterator(_tensor_shapes.begin(), _axis_values.begin(), _splits_values.begin()); } int size() const { return std::min(_tensor_shapes.size(), std::min(_axis_values.size(), _splits_values.size())); } void add_config(TensorShape shape, unsigned int axis, unsigned int splits) { _tensor_shapes.emplace_back(std::move(shape)); _axis_values.emplace_back(axis); _splits_values.emplace_back(splits); } protected: SplitDataset() = default; SplitDataset(SplitDataset &&) = default; private: std::vector _tensor_shapes{}; std::vector _axis_values{}; std::vector _splits_values{}; }; class SmallSplitDataset final : public SplitDataset { public: SmallSplitDataset() { add_config(TensorShape(128U), 0U, 4U); add_config(TensorShape(6U, 3U, 4U), 2U, 2U); add_config(TensorShape(27U, 14U, 2U), 1U, 2U); add_config(TensorShape(64U, 32U, 4U, 6U), 3U, 3U); } }; class LargeSplitDataset final : public SplitDataset { public: LargeSplitDataset() { add_config(TensorShape(512U), 0U, 8U); add_config(TensorShape(128U, 64U, 8U), 2U, 2U); add_config(TensorShape(128U, 64U, 8U, 2U), 1U, 2U); add_config(TensorShape(128U, 64U, 32U, 4U), 3U, 4U); } }; } // namespace datasets } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_SPLIT_DATASET */