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Diffstat (limited to 'tests/datasets')
-rw-r--r-- | tests/datasets/WinogradInputTransformDataset.h | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/tests/datasets/WinogradInputTransformDataset.h b/tests/datasets/WinogradInputTransformDataset.h new file mode 100644 index 0000000000..07e41ebf7a --- /dev/null +++ b/tests/datasets/WinogradInputTransformDataset.h @@ -0,0 +1,140 @@ +/* + * 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_INPUT_TRANSFORM_DATASET +#define ARM_COMPUTE_TEST_WINOGRAD_INPUT_TRANSFORM_DATASET + +#include "utils/TypePrinter.h" + +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +class WinogradInputTransformDataset +{ +public: + using type = std::tuple<TensorShape, PadStrideInfo, Size2D, bool>; + + struct iterator + { + iterator(std::vector<TensorShape>::const_iterator in_it, std::vector<PadStrideInfo>::const_iterator info_it, std::vector<Size2D>::const_iterator kernel_dims_it, + std::vector<bool>::const_iterator format_it) + : _in_it{ std::move(in_it) }, _info_it{ std::move(info_it) }, _kernel_dims_it{ std::move(kernel_dims_it) }, _format_it{ std::move(format_it) } + { + } + + std::string description() const + { + std::stringstream description; + description << "In=" << *_in_it << ":"; + description << "Info=" << *_info_it; + description << "KernelDims=" << *_kernel_dims_it; + description << "IsNCHW=" << *_format_it; + return description.str(); + } + + WinogradInputTransformDataset::type operator*() const + { + return std::make_tuple(*_in_it, *_info_it, *_kernel_dims_it, *_format_it); + } + + iterator &operator++() + { + ++_in_it; + ++_info_it; + ++_kernel_dims_it; + ++_format_it; + + return *this; + } + + private: + std::vector<TensorShape>::const_iterator _in_it; + std::vector<PadStrideInfo>::const_iterator _info_it; + std::vector<Size2D>::const_iterator _kernel_dims_it; + std::vector<bool>::const_iterator _format_it; + }; + + iterator begin() const + { + return iterator(_in_shapes.begin(), _infos.begin(), _kernel_dims.begin(), _format.begin()); + } + + int size() const + { + return std::min(_in_shapes.size(), std::min(_infos.size(), std::min(_kernel_dims.size(), _format.size()))); + } + + void add_config(TensorShape in, PadStrideInfo info, Size2D kernel_dims, bool format) + { + _in_shapes.emplace_back(std::move(in)); + _infos.emplace_back(std::move(info)); + _kernel_dims.emplace_back(std::move(kernel_dims)); + _format.emplace_back(std::move(format)); + } + +protected: + WinogradInputTransformDataset() = default; + WinogradInputTransformDataset(WinogradInputTransformDataset &&) = default; + +private: + std::vector<TensorShape> _in_shapes{}; + std::vector<PadStrideInfo> _infos{}; + std::vector<Size2D> _kernel_dims{}; + std::vector<bool> _format{}; +}; + +class SmallWinogradInputTransformDataset final : public WinogradInputTransformDataset +{ +public: + SmallWinogradInputTransformDataset() + { + add_config(TensorShape(9U, 9U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true); + add_config(TensorShape(27U, 13U, 2U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true); + add_config(TensorShape(128U, 64U, 1U, 3U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true); + add_config(TensorShape(9U, 9U, 3U, 4U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true); + add_config(TensorShape(27U, 13U, 2U, 4U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true); + add_config(TensorShape(9U, 9U, 3U, 5U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true); + add_config(TensorShape(14U, 14U, 512U, 2U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true); + } +}; + +class LargeWinogradInputTransformDataset final : public WinogradInputTransformDataset +{ +public: + LargeWinogradInputTransformDataset() + { + add_config(TensorShape(42U, 37U, 8U, 15U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true); + add_config(TensorShape(57U, 60U, 13U, 8U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true); + add_config(TensorShape(128U, 64U, 21U, 13U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true); + add_config(TensorShape(83U, 72U, 14U, 5U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true); + } +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_WINOGRAD_INPUT_TRANSFORM_DATASET */ |