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Diffstat (limited to 'tests/datasets/ScatterDataset.h')
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diff --git a/tests/datasets/ScatterDataset.h b/tests/datasets/ScatterDataset.h new file mode 100644 index 0000000000..9dcf859a8f --- /dev/null +++ b/tests/datasets/ScatterDataset.h @@ -0,0 +1,205 @@ +/* + * Copyright (c) 2024 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 ACL_TESTS_DATASETS_SCATTERDATASET_H +#define ACL_TESTS_DATASETS_SCATTERDATASET_H + +#include "arm_compute/core/TensorShape.h" +#include "utils/TypePrinter.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ + +class ScatterDataset +{ +public: + using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape>; + + struct iterator + { + iterator(std::vector<TensorShape>::const_iterator src_it, + std::vector<TensorShape>::const_iterator updates_it, + std::vector<TensorShape>::const_iterator indices_it, + std::vector<TensorShape>::const_iterator dst_it) + : _src_it{ std::move(src_it) }, + _updates_it{ std::move(updates_it) }, + _indices_it{std::move(indices_it)}, + _dst_it{ std::move(dst_it) } + { + } + + std::string description() const + { + std::stringstream description; + description << "A=" << *_src_it << ":"; + description << "B=" << *_updates_it << ":"; + description << "C=" << *_indices_it << ":"; + description << "Out=" << *_dst_it << ":"; + return description.str(); + } + + ScatterDataset::type operator*() const + { + return std::make_tuple(*_src_it, *_updates_it, *_indices_it, *_dst_it); + } + + iterator &operator++() + { + ++_src_it; + ++_updates_it; + ++_indices_it; + ++_dst_it; + + return *this; + } + + private: + std::vector<TensorShape>::const_iterator _src_it; + std::vector<TensorShape>::const_iterator _updates_it; + std::vector<TensorShape>::const_iterator _indices_it; + std::vector<TensorShape>::const_iterator _dst_it; + }; + + iterator begin() const + { + return iterator(_src_shapes.begin(), _update_shapes.begin(), _indices_shapes.begin(), _dst_shapes.begin()); + } + + int size() const + { + return std::min(_src_shapes.size(), std::min(_indices_shapes.size(), std::min(_update_shapes.size(), _dst_shapes.size()))); + } + + void add_config(TensorShape a, TensorShape b, TensorShape c, TensorShape dst) + { + _src_shapes.emplace_back(std::move(a)); + _update_shapes.emplace_back(std::move(b)); + _indices_shapes.emplace_back(std::move(c)); + _dst_shapes.emplace_back(std::move(dst)); + } + +protected: + ScatterDataset() = default; + ScatterDataset(ScatterDataset &&) = default; + +private: + std::vector<TensorShape> _src_shapes{}; + std::vector<TensorShape> _update_shapes{}; + std::vector<TensorShape> _indices_shapes{}; + std::vector<TensorShape> _dst_shapes{}; +}; + + +// 1D dataset for simple scatter tests. +class Small1DScatterDataset final : public ScatterDataset +{ +public: + Small1DScatterDataset() + { + add_config(TensorShape(6U), TensorShape(6U), TensorShape(1U, 6U), TensorShape(6U)); + add_config(TensorShape(10U), TensorShape(2U), TensorShape(1U, 2U), TensorShape(10U)); + } +}; + +// This dataset represents the (m+1)-D updates/dst case. +class SmallScatterMultiDimDataset final : public ScatterDataset +{ +public: + SmallScatterMultiDimDataset() + { + // NOTE: Config is src, updates, indices, output. + // - In this config, the dim replaced is the final number (largest tensor dimension) + // - Largest "updates" dim should match y-dim of indices. + // - src/updates/dst should all have same number of dims. Indices should be 2D. + add_config(TensorShape(6U, 5U), TensorShape(6U, 2U), TensorShape(1U, 2U), TensorShape(6U, 5U)); + add_config(TensorShape(9U, 3U, 4U), TensorShape(9U, 3U, 2U), TensorShape(1U, 2U), TensorShape(9U, 3U, 4U)); + add_config(TensorShape(17U, 3U, 2U, 4U), TensorShape(17U, 3U, 2U, 7U), TensorShape(1U, 7U), TensorShape(17U, 3U, 2U, 4U)); + } +}; + +// This dataset represents the (m+1)-D updates tensor, (m+n)-d output tensor cases +class SmallScatterMultiIndicesDataset final : public ScatterDataset +{ +public: + SmallScatterMultiIndicesDataset() + { + // NOTE: Config is src, updates, indices, output. + // NOTE: indices.shape.x = src.num_dimensions - updates.num_dimensions + 1 + + // index length is 2 + add_config(TensorShape(6U, 5U, 2U), TensorShape(6U, 4U), TensorShape(2U, 4U), TensorShape(6U, 5U, 2U)); + add_config(TensorShape(17U, 3U, 3U, 2U), TensorShape(17U, 3U, 2U), TensorShape(2U, 2U), TensorShape(17U, 3U, 3U, 2U)); + add_config(TensorShape(11U, 3U, 3U, 2U, 4U), TensorShape(11U, 3U, 3U, 4U), TensorShape(2U, 4U), TensorShape(11U, 3U, 3U, 2U, 4U)); + add_config(TensorShape(5U, 4U, 3U, 3U, 2U, 4U), TensorShape(5U, 4U, 3U, 3U, 5U), TensorShape(2U, 5U), TensorShape(5U, 4U, 3U, 3U, 2U, 4U)); + + // index length is 3 + add_config(TensorShape(4U, 3U, 2U, 2U), TensorShape(4U, 2U), TensorShape(3U, 2U), TensorShape(4U, 3U, 2U, 2U)); + add_config(TensorShape(17U, 4U, 3U, 2U, 2U), TensorShape(17U, 4U, 4U), TensorShape(3U, 4U), TensorShape(17U, 4U, 3U, 2U, 2U)); + add_config(TensorShape(10U, 4U, 5U, 3U, 2U, 2U), TensorShape(10U, 4U, 5U, 3U), TensorShape(3U, 3U), TensorShape(10U, 4U, 5U, 3U, 2U, 2U)); + + // index length is 4 + add_config(TensorShape(35U, 4U, 3U, 2U, 2U), TensorShape(35U, 4U), TensorShape(4U, 4U), TensorShape(35U, 4U, 3U, 2U, 2U)); + add_config(TensorShape(10U, 4U, 5U, 3U, 2U, 2U), TensorShape(10U, 4U, 3U), TensorShape(4U, 3U), TensorShape(10U, 4U, 5U, 3U, 2U, 2U)); + + // index length is 5 + add_config(TensorShape(10U, 4U, 5U, 3U, 2U, 2U), TensorShape(10U, 3U), TensorShape(5U, 3U), TensorShape(10U, 4U, 5U, 3U, 2U, 2U)); + } +}; + +// This dataset represents the (m+k)-D updates tensor, (k+1)-d indices tensor and (m+n)-d output tensor cases +class SmallScatterBatchedDataset final : public ScatterDataset +{ +public: + SmallScatterBatchedDataset() + { + // NOTE: Config is src, updates, indices, output. + // NOTE: Updates/Indices tensors are now batched. + // NOTE: indices.shape.x = (updates_batched) ? (src.num_dimensions - updates.num_dimensions) + 2 : (src.num_dimensions - updates.num_dimensions) + 1 + add_config(TensorShape(6U, 5U), TensorShape(6U, 2U, 2U), TensorShape(1U, 2U, 2U), TensorShape(6U, 5U)); + add_config(TensorShape(6U, 5U, 2U), TensorShape(6U, 2U, 2U), TensorShape(2U, 2U, 2U), TensorShape(6U, 5U, 2U)); + add_config(TensorShape(6U, 5U, 2U, 2U), TensorShape(3U, 2U), TensorShape(4U, 3U, 2U), TensorShape(6U, 5U, 2U, 2U)); + add_config(TensorShape(5U, 5U, 4U, 2U, 2U), TensorShape(6U, 2U), TensorShape(5U, 6U, 2U), TensorShape(5U, 5U, 4U, 2U, 2U)); + } +}; + +// This dataset is for data types that does not require full testing. It contains selected tests from the above. +class SmallScatterMixedDataset final : public ScatterDataset +{ +public: + SmallScatterMixedDataset() + { + add_config(TensorShape(10U), TensorShape(2U), TensorShape(1U, 2U), TensorShape(10U)); + add_config(TensorShape(9U, 3U, 4U), TensorShape(9U, 3U, 2U), TensorShape(1U, 2U), TensorShape(9U, 3U, 4U)); + add_config(TensorShape(35U, 4U, 3U, 2U, 2U), TensorShape(35U, 4U), TensorShape(4U, 4U), TensorShape(35U, 4U, 3U, 2U, 2U)); + add_config(TensorShape(11U, 3U, 3U, 2U, 4U), TensorShape(11U, 3U, 3U, 4U), TensorShape(2U, 4U), TensorShape(11U, 3U, 3U, 2U, 4U)); + // TODO: add_config(TensorShape(6U, 5U, 2U), TensorShape(6U, 2U, 2U), TensorShape(2U, 2U, 2U), TensorShape(6U, 5U, 2U)); + } +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif // ACL_TESTS_DATASETS_SCATTERDATASET_H |