| /* |
| * Copyright (c) 2018-2019 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_GATHER_DATASET |
| #define ARM_COMPUTE_TEST_GATHER_DATASET |
| |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class GatherDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, TensorShape, int>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator input_shapes_it, |
| std::vector<TensorShape>::const_iterator starts_values_it, |
| std::vector<int>::const_iterator axis_it) |
| : _input_shapes_it{ std::move(input_shapes_it) }, |
| _indices_shapes_it{ std::move(starts_values_it) }, |
| _axis_it{ std::move(axis_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "InputShape=" << *_input_shapes_it << ":"; |
| description << "IndicesShape=" << *_indices_shapes_it << ":"; |
| description << "Axis=" << *_axis_it << ":"; |
| return description.str(); |
| } |
| |
| GatherDataset::type operator*() const |
| { |
| return std::make_tuple(*_input_shapes_it, *_indices_shapes_it, *_axis_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_input_shapes_it; |
| ++_indices_shapes_it; |
| ++_axis_it; |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _input_shapes_it; |
| std::vector<TensorShape>::const_iterator _indices_shapes_it; |
| std::vector<int>::const_iterator _axis_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_input_shapes.begin(), _indices_shapes.begin(), _axis.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_input_shapes.size(), std::min(_indices_shapes.size(), _axis.size())); |
| } |
| |
| void add_config(TensorShape input_shape, TensorShape indices_shape, int axis) |
| { |
| _input_shapes.emplace_back(std::move(input_shape)); |
| _indices_shapes.emplace_back(std::move(indices_shape)); |
| _axis.emplace_back(std::move(axis)); |
| } |
| |
| protected: |
| GatherDataset() = default; |
| GatherDataset(GatherDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _input_shapes{}; |
| std::vector<TensorShape> _indices_shapes{}; |
| std::vector<int> _axis{}; |
| }; |
| |
| class SmallGatherDataset final : public GatherDataset |
| { |
| public: |
| SmallGatherDataset() |
| { |
| // 2D input |
| add_config(TensorShape(15U, 15U), TensorShape(5U), 0); |
| add_config(TensorShape(15U, 15U), TensorShape(5U), 1); |
| add_config(TensorShape(5U, 5U), TensorShape(80U), -1); |
| |
| // 3D input |
| add_config(TensorShape(5U, 5U, 5U), TensorShape(19U), 0); |
| add_config(TensorShape(5U, 4U, 6U), TensorShape(30U), 1); |
| add_config(TensorShape(3U, 5U, 7U), TensorShape(20U), 2); |
| add_config(TensorShape(5U, 4U, 6U), TensorShape(30U), -1); |
| add_config(TensorShape(3U, 5U, 7U), TensorShape(20U), -2); |
| |
| // 4D input |
| add_config(TensorShape(4U, 3U, 4U, 5U), TensorShape(4U), 0); |
| add_config(TensorShape(4U, 3U, 5U, 5U), TensorShape(5U), 1); |
| add_config(TensorShape(4U, 3U, 2U, 5U), TensorShape(6U), 2); |
| add_config(TensorShape(3U, 4U, 4U, 6U), TensorShape(7U), 3); |
| add_config(TensorShape(4U, 3U, 5U, 5U), TensorShape(5U), -1); |
| add_config(TensorShape(4U, 3U, 2U, 5U), TensorShape(6U), -2); |
| add_config(TensorShape(3U, 4U, 4U, 6U), TensorShape(7U), -3); |
| } |
| }; |
| |
| class LargeGatherDataset final : public GatherDataset |
| { |
| public: |
| LargeGatherDataset() |
| { |
| // 2D input |
| add_config(TensorShape(150U, 150U), TensorShape(50U), 0); |
| add_config(TensorShape(150U, 150U), TensorShape(50U), 1); |
| add_config(TensorShape(150U, 150U), TensorShape(50U), -1); |
| |
| // 3D input |
| add_config(TensorShape(50U, 40U, 60U), TensorShape(33U), 0); |
| add_config(TensorShape(40U, 50U, 60U), TensorShape(24U), 1); |
| add_config(TensorShape(70U, 80U, 100U), TensorShape(50U), 2); |
| add_config(TensorShape(40U, 50U, 60U), TensorShape(24U), -1); |
| add_config(TensorShape(70U, 80U, 100U), TensorShape(50U), -2); |
| |
| // 4D input |
| add_config(TensorShape(30U, 40U, 20U, 20U), TensorShape(33U), 0); |
| add_config(TensorShape(23U, 10U, 60U, 20U), TensorShape(24U), 1); |
| add_config(TensorShape(14U, 20U, 10U, 31U), TensorShape(30U), 2); |
| add_config(TensorShape(34U, 10U, 40U, 20U), TensorShape(50U), 3); |
| add_config(TensorShape(23U, 10U, 60U, 20U), TensorShape(24U), -1); |
| add_config(TensorShape(14U, 20U, 10U, 31U), TensorShape(30U), -2); |
| add_config(TensorShape(34U, 10U, 40U, 20U), TensorShape(50U), -3); |
| } |
| }; |
| |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| |
| #endif /* ARM_COMPUTE_TEST_GATHER_DATASET */ |