/* * 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_WINOGRAD_OUTPUT_TRANSFORM_DATASET #define ARM_COMPUTE_TEST_WINOGRAD_OUTPUT_TRANSFORM_DATASET #include "utils/TypePrinter.h" #include "arm_compute/core/TensorShape.h" namespace arm_compute { namespace test { namespace datasets { class WinogradOutputTransformDataset { public: using type = std::tuple; struct iterator { iterator(std::vector::const_iterator a_it, std::vector::const_iterator b_it, std::vector::const_iterator c_it, std::vector::const_iterator d_it, std::vector::const_iterator data_layout_it) : _a_it{ std::move(a_it) }, _b_it{ std::move(b_it) }, _c_it{ std::move(c_it) }, _d_it{ std::move(d_it) }, _data_layout_it{ std::move(data_layout_it) } { } std::string description() const { std::stringstream description; description << "Input=" << *_a_it << ":"; description << "KernelDims=" << *_b_it << ":"; description << "OutputDims=" << *_c_it << ":"; description << "NumTiles=" << *_d_it << ":"; description << "DataLayout=" << *_data_layout_it; return description.str(); } WinogradOutputTransformDataset::type operator*() const { return std::make_tuple(*_a_it, *_b_it, *_c_it, *_d_it, *_data_layout_it); } iterator &operator++() { ++_a_it; ++_b_it; ++_c_it; ++_d_it; ++_data_layout_it; return *this; } private: std::vector::const_iterator _a_it; std::vector::const_iterator _b_it; std::vector::const_iterator _c_it; std::vector::const_iterator _d_it; std::vector::const_iterator _data_layout_it; }; iterator begin() const { return iterator(_a_shapes.begin(), _b_dims.begin(), _c_dims.begin(), _d_dims.begin(), _data_layout.begin()); } int size() const { return std::min(_a_shapes.size(), std::min(_b_dims.size(), std::min(_c_dims.size(), std::min(_d_dims.size(), _data_layout.size())))); } void add_config(TensorShape a, Size2D b, Size2D c, Size2D d, DataLayout data_layout) { _a_shapes.emplace_back(std::move(a)); _b_dims.emplace_back(std::move(b)); _c_dims.emplace_back(std::move(c)); _d_dims.emplace_back(std::move(d)); _data_layout.emplace_back(std::move(data_layout)); } protected: WinogradOutputTransformDataset() = default; WinogradOutputTransformDataset(WinogradOutputTransformDataset &&) = default; private: std::vector _a_shapes{}; std::vector _b_dims{}; std::vector _c_dims{}; std::vector _d_dims{}; std::vector _data_layout{}; }; class SmallWinogradOutputTransformDataset final : public WinogradOutputTransformDataset { public: SmallWinogradOutputTransformDataset() { add_config(TensorShape(24U, 49U, 16U), Size2D(3, 3), Size2D(14U, 14U), Size2D(7U, 7U), DataLayout::NCHW); add_config(TensorShape(13U, 6U, 16U), Size2D(3, 3), Size2D(5U, 4U), Size2D(3U, 2U), DataLayout::NCHW); add_config(TensorShape(7U, 20U, 16U), Size2D(3, 3), Size2D(8U, 9U), Size2D(4U, 5U), DataLayout::NCHW); add_config(TensorShape(24U, 49U, 16U, 3U), Size2D(3, 3), Size2D(14U, 14U), Size2D(7U, 7U), DataLayout::NCHW); add_config(TensorShape(13U, 6U, 16U, 2U), Size2D(3, 3), Size2D(5U, 4U), Size2D(3U, 2U), DataLayout::NCHW); add_config(TensorShape(7U, 20U, 16U, 5U), Size2D(3, 3), Size2D(8U, 9U), Size2D(4U, 5U), DataLayout::NCHW); } }; class LargeWinogradOutputTransformDataset final : public WinogradOutputTransformDataset { public: LargeWinogradOutputTransformDataset() { add_config(TensorShape(128U, 3136U, 16U), Size2D(3, 3), Size2D(112U, 112U), Size2D(56U, 56U), DataLayout::NCHW); add_config(TensorShape(256U, 784U, 16U), Size2D(3, 3), Size2D(55U, 55U), Size2D(28U, 28U), DataLayout::NCHW); add_config(TensorShape(512U, 169U, 16U), Size2D(3, 3), Size2D(26U, 26U), Size2D(13U, 13U), DataLayout::NCHW); add_config(TensorShape(128U, 3136U, 16U, 3U), Size2D(3, 3), Size2D(112U, 112U), Size2D(56U, 56U), DataLayout::NCHW); add_config(TensorShape(256U, 784U, 16U, 2U), Size2D(3, 3), Size2D(55U, 55U), Size2D(28U, 28U), DataLayout::NCHW); add_config(TensorShape(512U, 169U, 16U, 5U), Size2D(3, 3), Size2D(26U, 26U), Size2D(13U, 13U), DataLayout::NCHW); } }; } // namespace datasets } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_WINOGRAD_OUTPUT_TRANSFORM_DATASET */