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Diffstat (limited to 'tests/datasets/WinogradFilterTransformDataset.h')
-rw-r--r-- | tests/datasets/WinogradFilterTransformDataset.h | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/tests/datasets/WinogradFilterTransformDataset.h b/tests/datasets/WinogradFilterTransformDataset.h new file mode 100644 index 0000000000..07d0283b55 --- /dev/null +++ b/tests/datasets/WinogradFilterTransformDataset.h @@ -0,0 +1,128 @@ +/* + * 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_FILTER_TRANSFORM_DATASET +#define ARM_COMPUTE_TEST_WINOGRAD_FILTER_TRANSFORM_DATASET + +#include "utils/TypePrinter.h" + +#include "arm_compute/core/TensorShape.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +class WinogradFilterTransformDataset +{ +public: + using type = std::tuple<TensorShape, bool>; + + struct iterator + { + iterator(std::vector<TensorShape>::const_iterator a_it, + std::vector<bool>::const_iterator is_nchw_it) + : _a_it{ std::move(a_it) }, + _is_nchw_it{ std::move(is_nchw_it) } + { + } + + std::string description() const + { + std::stringstream description; + description << "Input=" << *_a_it << ":"; + description << "IsNCHW=" << *_is_nchw_it << ":"; + return description.str(); + } + + WinogradFilterTransformDataset::type operator*() const + { + return std::make_tuple(*_a_it, *_is_nchw_it); + } + + iterator &operator++() + { + ++_a_it; + ++_is_nchw_it; + + return *this; + } + + private: + std::vector<TensorShape>::const_iterator _a_it; + std::vector<bool>::const_iterator _is_nchw_it; + }; + + iterator begin() const + { + return iterator(_a_shapes.begin(), _is_nchw.begin()); + } + + int size() const + { + return std::min(_a_shapes.size(), _is_nchw.size()); + } + + void add_config(TensorShape a, bool is_nchw) + { + _a_shapes.emplace_back(std::move(a)); + _is_nchw.emplace_back(std::move(is_nchw)); + } + +protected: + WinogradFilterTransformDataset() = default; + WinogradFilterTransformDataset(WinogradFilterTransformDataset &&) = default; + +private: + std::vector<TensorShape> _a_shapes{}; + std::vector<bool> _is_nchw{}; +}; + +class SmallWinogradFilterTransformDataset final : public WinogradFilterTransformDataset +{ +public: + SmallWinogradFilterTransformDataset() + { + add_config(TensorShape(3U, 3U, 7U, 4U), true); + add_config(TensorShape(3U, 3U, 4U, 13U), true); + add_config(TensorShape(3U, 3U, 9U, 2U), true); + add_config(TensorShape(3U, 3U, 3U, 5U), true); + } +}; + +class LargeWinogradFilterTransformDataset final : public WinogradFilterTransformDataset +{ +public: + LargeWinogradFilterTransformDataset() + { + add_config(TensorShape(3U, 3U, 32U, 64U), true); + add_config(TensorShape(3U, 3U, 51U, 13U), true); + add_config(TensorShape(3U, 3U, 53U, 47U), true); + add_config(TensorShape(3U, 3U, 128U, 384U), true); + } +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_WINOGRAD_FILTER_TRANSFORM_DATASET */ |