| /* |
| * 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_CHANNEL_SHUFFLE_LAYER_DATASET |
| #define ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_LAYER_DATASET |
| |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class ChannelShuffleLayerDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, int>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator tensor_it, |
| std::vector<int>::const_iterator num_groups_it) |
| : _tensor_it{ std::move(tensor_it) }, |
| _num_groups_it{ std::move(num_groups_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "In=" << *_tensor_it << ":"; |
| description << "NumGroups=" << *_num_groups_it; |
| return description.str(); |
| } |
| |
| ChannelShuffleLayerDataset::type operator*() const |
| { |
| return std::make_tuple(*_tensor_it, *_num_groups_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_tensor_it; |
| ++_num_groups_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _tensor_it; |
| std::vector<int>::const_iterator _num_groups_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_tensor_shapes.begin(), _num_groups.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_tensor_shapes.size(), _num_groups.size()); |
| } |
| |
| void add_config(TensorShape tensor, int num_groups) |
| { |
| _tensor_shapes.emplace_back(std::move(tensor)); |
| _num_groups.emplace_back(std::move(num_groups)); |
| } |
| |
| protected: |
| ChannelShuffleLayerDataset() = default; |
| ChannelShuffleLayerDataset(ChannelShuffleLayerDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _tensor_shapes{}; |
| std::vector<int> _num_groups{}; |
| }; |
| |
| class SmallRandomChannelShuffleLayerDataset final : public ChannelShuffleLayerDataset |
| { |
| public: |
| SmallRandomChannelShuffleLayerDataset() |
| { |
| add_config(TensorShape(15U, 16U, 4U, 12U), 2); |
| add_config(TensorShape(21U, 11U, 12U, 7U), 4); |
| add_config(TensorShape(21U, 11U, 12U, 7U), 6); |
| add_config(TensorShape(7U, 3U, 6U, 11U), 3); |
| } |
| }; |
| |
| class LargeRandomChannelShuffleLayerDataset final : public ChannelShuffleLayerDataset |
| { |
| public: |
| LargeRandomChannelShuffleLayerDataset() |
| { |
| add_config(TensorShape(210U, 43U, 20U, 3U), 5); |
| add_config(TensorShape(283U, 213U, 15U, 3U), 3); |
| add_config(TensorShape(500U, 115U, 16U, 2U), 4); |
| } |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_LAYER_DATASET */ |