293 lines
11 KiB
C++
293 lines
11 KiB
C++
/*
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* Copyright (c) 2018 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_STRIDED_SLICE_DATASET
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#define ARM_COMPUTE_TEST_STRIDED_SLICE_DATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/Types.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace datasets
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{
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class SliceDataset
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{
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public:
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using type = std::tuple<TensorShape, Coordinates, Coordinates>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator tensor_shapes_it,
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std::vector<Coordinates>::const_iterator starts_values_it,
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std::vector<Coordinates>::const_iterator ends_values_it)
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: _tensor_shapes_it{ std::move(tensor_shapes_it) },
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_starts_values_it{ std::move(starts_values_it) },
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_ends_values_it{ std::move(ends_values_it) }
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{
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}
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std::string description() const
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{
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std::stringstream description;
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description << "Shape=" << *_tensor_shapes_it << ":";
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description << "Starts=" << *_starts_values_it << ":";
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description << "Ends=" << *_ends_values_it << ":";
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return description.str();
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}
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SliceDataset::type operator*() const
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{
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return std::make_tuple(*_tensor_shapes_it, *_starts_values_it, *_ends_values_it);
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}
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iterator &operator++()
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{
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++_tensor_shapes_it;
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++_starts_values_it;
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++_ends_values_it;
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return *this;
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}
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private:
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std::vector<TensorShape>::const_iterator _tensor_shapes_it;
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std::vector<Coordinates>::const_iterator _starts_values_it;
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std::vector<Coordinates>::const_iterator _ends_values_it;
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};
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iterator begin() const
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{
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return iterator(_tensor_shapes.begin(), _starts_values.begin(), _ends_values.begin());
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}
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int size() const
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{
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return std::min(_tensor_shapes.size(), std::min(_starts_values.size(), _ends_values.size()));
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}
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void add_config(TensorShape shape, Coordinates starts, Coordinates ends)
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{
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_tensor_shapes.emplace_back(std::move(shape));
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_starts_values.emplace_back(std::move(starts));
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_ends_values.emplace_back(std::move(ends));
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}
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protected:
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SliceDataset() = default;
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SliceDataset(SliceDataset &&) = default;
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private:
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std::vector<TensorShape> _tensor_shapes{};
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std::vector<Coordinates> _starts_values{};
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std::vector<Coordinates> _ends_values{};
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};
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class StridedSliceDataset
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{
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public:
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using type = std::tuple<TensorShape, Coordinates, Coordinates, BiStrides, int32_t, int32_t, int32_t>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator tensor_shapes_it,
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std::vector<Coordinates>::const_iterator starts_values_it,
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std::vector<Coordinates>::const_iterator ends_values_it,
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std::vector<BiStrides>::const_iterator strides_values_it,
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std::vector<int32_t>::const_iterator begin_mask_values_it,
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std::vector<int32_t>::const_iterator end_mask_values_it,
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std::vector<int32_t>::const_iterator shrink_mask_values_it)
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: _tensor_shapes_it{ std::move(tensor_shapes_it) },
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_starts_values_it{ std::move(starts_values_it) },
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_ends_values_it{ std::move(ends_values_it) },
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_strides_values_it{ std::move(strides_values_it) },
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_begin_mask_values_it{ std::move(begin_mask_values_it) },
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_end_mask_values_it{ std::move(end_mask_values_it) },
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_shrink_mask_values_it{ std::move(shrink_mask_values_it) }
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{
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}
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std::string description() const
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{
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std::stringstream description;
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description << "Shape=" << *_tensor_shapes_it << ":";
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description << "Starts=" << *_starts_values_it << ":";
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description << "Ends=" << *_ends_values_it << ":";
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description << "Strides=" << *_strides_values_it << ":";
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description << "BeginMask=" << *_begin_mask_values_it << ":";
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description << "EndMask=" << *_end_mask_values_it << ":";
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description << "ShrinkMask=" << *_shrink_mask_values_it << ":";
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return description.str();
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}
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StridedSliceDataset::type operator*() const
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{
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return std::make_tuple(*_tensor_shapes_it,
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*_starts_values_it, *_ends_values_it, *_strides_values_it,
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*_begin_mask_values_it, *_end_mask_values_it, *_shrink_mask_values_it);
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}
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iterator &operator++()
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{
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++_tensor_shapes_it;
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++_starts_values_it;
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++_ends_values_it;
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++_strides_values_it;
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++_begin_mask_values_it;
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++_end_mask_values_it;
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++_shrink_mask_values_it;
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return *this;
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}
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private:
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std::vector<TensorShape>::const_iterator _tensor_shapes_it;
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std::vector<Coordinates>::const_iterator _starts_values_it;
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std::vector<Coordinates>::const_iterator _ends_values_it;
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std::vector<BiStrides>::const_iterator _strides_values_it;
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std::vector<int32_t>::const_iterator _begin_mask_values_it;
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std::vector<int32_t>::const_iterator _end_mask_values_it;
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std::vector<int32_t>::const_iterator _shrink_mask_values_it;
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};
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iterator begin() const
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{
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return iterator(_tensor_shapes.begin(),
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_starts_values.begin(), _ends_values.begin(), _strides_values.begin(),
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_begin_mask_values.begin(), _end_mask_values.begin(), _shrink_mask_values.begin());
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}
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int size() const
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{
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return std::min(_tensor_shapes.size(), std::min(_starts_values.size(), std::min(_ends_values.size(), _strides_values.size())));
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}
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void add_config(TensorShape shape,
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Coordinates starts, Coordinates ends, BiStrides strides,
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int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_mask = 0)
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{
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_tensor_shapes.emplace_back(std::move(shape));
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_starts_values.emplace_back(std::move(starts));
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_ends_values.emplace_back(std::move(ends));
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_strides_values.emplace_back(std::move(strides));
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_begin_mask_values.emplace_back(std::move(begin_mask));
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_end_mask_values.emplace_back(std::move(end_mask));
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_shrink_mask_values.emplace_back(std::move(shrink_mask));
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}
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protected:
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StridedSliceDataset() = default;
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StridedSliceDataset(StridedSliceDataset &&) = default;
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private:
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std::vector<TensorShape> _tensor_shapes{};
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std::vector<Coordinates> _starts_values{};
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std::vector<Coordinates> _ends_values{};
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std::vector<BiStrides> _strides_values{};
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std::vector<int32_t> _begin_mask_values{};
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std::vector<int32_t> _end_mask_values{};
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std::vector<int32_t> _shrink_mask_values{};
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};
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class SmallSliceDataset final : public SliceDataset
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{
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public:
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SmallSliceDataset()
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{
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// 1D
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add_config(TensorShape(15U), Coordinates(4), Coordinates(9));
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add_config(TensorShape(15U), Coordinates(0), Coordinates(-1));
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// 2D
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add_config(TensorShape(15U, 16U), Coordinates(0, 1), Coordinates(5, -1));
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add_config(TensorShape(15U, 16U), Coordinates(4, 1), Coordinates(12, -1));
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// 3D
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add_config(TensorShape(15U, 16U, 4U), Coordinates(0, 1, 2), Coordinates(5, -1, 4));
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add_config(TensorShape(15U, 16U, 4U), Coordinates(0, 1, 2), Coordinates(5, -1, 4));
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// 4D
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add_config(TensorShape(15U, 16U, 4U, 12U), Coordinates(0, 1, 2, 2), Coordinates(5, -1, 4, 5));
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}
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};
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class LargeSliceDataset final : public SliceDataset
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{
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public:
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LargeSliceDataset()
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{
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// 1D
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add_config(TensorShape(1025U), Coordinates(128), Coordinates(-100));
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// 2D
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add_config(TensorShape(372U, 68U), Coordinates(128, 7), Coordinates(368, -1));
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// 3D
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add_config(TensorShape(372U, 68U, 12U), Coordinates(128, 7, 2), Coordinates(368, -1, 4));
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// 4D
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add_config(TensorShape(372U, 68U, 7U, 4U), Coordinates(128, 7, 2), Coordinates(368, 17, 5));
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}
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};
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class SmallStridedSliceDataset final : public StridedSliceDataset
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{
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public:
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SmallStridedSliceDataset()
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{
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// 1D
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add_config(TensorShape(15U), Coordinates(0), Coordinates(5), BiStrides(2));
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add_config(TensorShape(15U), Coordinates(-1), Coordinates(-8), BiStrides(-2));
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// 2D
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add_config(TensorShape(15U, 16U), Coordinates(0, 1), Coordinates(5, -1), BiStrides(2, 1));
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add_config(TensorShape(15U, 16U), Coordinates(4, 1), Coordinates(12, -1), BiStrides(2, 1), 1);
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// 3D
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add_config(TensorShape(15U, 16U, 4U), Coordinates(0, 1, 2), Coordinates(5, -1, 4), BiStrides(2, 1, 2));
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add_config(TensorShape(15U, 16U, 4U), Coordinates(0, 1, 2), Coordinates(5, -1, 4), BiStrides(2, 1, 2), 0, 1);
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// 4D
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add_config(TensorShape(15U, 16U, 4U, 12U), Coordinates(0, 1, 2, 2), Coordinates(5, -1, 4, 5), BiStrides(2, 1, 2, 3));
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// Shrink axis
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add_config(TensorShape(1U, 3U, 2U, 3U), Coordinates(0, 1, 0, 0), Coordinates(1, 1, 1, 1), BiStrides(1, 1, 1, 1), 0, 15, 6);
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add_config(TensorShape(3U, 2U), Coordinates(0, 0), Coordinates(3U, 1U), BiStrides(1, 1), 0, 0, 2);
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add_config(TensorShape(4U, 7U, 7U), Coordinates(0, 0, 0), Coordinates(1U, 1U, 1U), BiStrides(1, 1, 1), 0, 6, 1);
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add_config(TensorShape(4U, 7U, 7U), Coordinates(0, 1, 0), Coordinates(1U, 1U, 1U), BiStrides(1, 1, 1), 0, 5, 3);
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}
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};
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class LargeStridedSliceDataset final : public StridedSliceDataset
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{
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public:
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LargeStridedSliceDataset()
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{
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// 1D
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add_config(TensorShape(1025U), Coordinates(128), Coordinates(-100), BiStrides(20));
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// 2D
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add_config(TensorShape(372U, 68U), Coordinates(128, 7), Coordinates(368, -30), BiStrides(10, 7));
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// 3D
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add_config(TensorShape(372U, 68U, 12U), Coordinates(128, 7, -1), Coordinates(368, -30, -5), BiStrides(14, 7, -2));
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// 4D
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add_config(TensorShape(372U, 68U, 7U, 4U), Coordinates(128, 7, 2), Coordinates(368, -30, 5), BiStrides(20, 7, 2), 1, 1);
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}
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};
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} // namespace datasets
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_STRIDED_SLICE_DATASET */
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