| /* |
| * 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_COL2IM_DATASET |
| #define ARM_COMPUTE_TEST_COL2IM_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 Col2ImLayerDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, unsigned int, unsigned int, unsigned int>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator src_it, |
| std::vector<unsigned int>::const_iterator convolved_width_it, |
| std::vector<unsigned int>::const_iterator convolved_height_it, |
| std::vector<unsigned int>::const_iterator num_groups_it) |
| : _src_it{ std::move(src_it) }, |
| _convolved_width_it{ std::move(convolved_width_it) }, |
| _convolved_height_it{ std::move(convolved_height_it) }, |
| _num_groups_it{ std::move(num_groups_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "In=" << *_src_it << ":"; |
| description << "ConvolvedWidth=" << *_convolved_width_it << ":"; |
| description << "ConvolvedHeight=" << *_convolved_height_it << ":"; |
| description << "NumGroups=" << *_num_groups_it; |
| return description.str(); |
| } |
| |
| Col2ImLayerDataset::type operator*() const |
| { |
| return std::make_tuple(*_src_it, *_convolved_width_it, *_convolved_height_it, *_num_groups_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_src_it; |
| ++_convolved_width_it; |
| ++_convolved_height_it; |
| ++_num_groups_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _src_it; |
| std::vector<unsigned int>::const_iterator _convolved_width_it; |
| std::vector<unsigned int>::const_iterator _convolved_height_it; |
| std::vector<unsigned int>::const_iterator _num_groups_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_src_shapes.begin(), _convolved_widths.begin(), _convolved_heights.begin(), _num_groups.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_src_shapes.size(), std::min(_convolved_widths.size(), std::min(_convolved_heights.size(), _num_groups.size()))); |
| } |
| |
| void add_config(TensorShape src, unsigned int convolved_width, unsigned int convolved_height, unsigned int info) |
| { |
| _src_shapes.emplace_back(std::move(src)); |
| _convolved_widths.emplace_back(std::move(convolved_width)); |
| _convolved_heights.emplace_back(std::move(convolved_height)); |
| _num_groups.emplace_back(std::move(info)); |
| } |
| |
| protected: |
| Col2ImLayerDataset() = default; |
| Col2ImLayerDataset(Col2ImLayerDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _src_shapes{}; |
| std::vector<unsigned int> _convolved_widths{}; |
| std::vector<unsigned int> _convolved_heights{}; |
| std::vector<unsigned int> _num_groups{}; |
| }; |
| |
| /** Dataset containing small grouped col2im shapes. */ |
| class SmallGroupedCol2ImLayerDataset final : public Col2ImLayerDataset |
| { |
| public: |
| SmallGroupedCol2ImLayerDataset() |
| { |
| add_config(TensorShape(10U, 12U, 1U, 1U), 3U, 4U, 1U); |
| add_config(TensorShape(12U, 30U, 1U, 2U), 5U, 6U, 1U); |
| add_config(TensorShape(12U, 30U, 4U, 1U), 5U, 6U, 1U); |
| add_config(TensorShape(10U, 12U, 2U, 4U), 3U, 4U, 2U); |
| add_config(TensorShape(10U, 12U, 2U, 4U), 3U, 4U, 2U); |
| add_config(TensorShape(8U, 16U, 3U, 1U), 4U, 4U, 3U); |
| add_config(TensorShape(8U, 16U, 3U, 3U), 4U, 4U, 3U); |
| add_config(TensorShape(12U, 20U, 4U, 1U), 5U, 4U, 4U); |
| add_config(TensorShape(12U, 20U, 4U, 3U, 2U), 5U, 4U, 4U); |
| } |
| }; |
| |
| /** Dataset containing large grouped col2im shapes. */ |
| class LargeGroupedCol2ImLayerDataset final : public Col2ImLayerDataset |
| { |
| public: |
| LargeGroupedCol2ImLayerDataset() |
| { |
| add_config(TensorShape(233U, 280U, 1U, 55U), 14U, 20U, 1U); |
| add_config(TensorShape(333U, 280U, 1U, 77U), 14U, 20U, 1U); |
| add_config(TensorShape(333U, 280U, 77U, 1U), 14U, 20U, 1U); |
| add_config(TensorShape(120U, 300U, 8U, 3U), 20U, 15U, 8U); |
| add_config(TensorShape(233U, 300U, 8U, 3U, 2U), 20U, 15U, 8U); |
| add_config(TensorShape(333U, 280U, 12U, 5U), 20U, 14U, 12U); |
| add_config(TensorShape(177U, 300U, 12U, 5U), 15U, 20U, 12U); |
| add_config(TensorShape(450U, 400U, 16U, 5U), 20U, 20U, 16U); |
| add_config(TensorShape(220U, 400U, 16U, 5U), 20U, 20U, 16U); |
| } |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_COL2IM_DATASET */ |