| /* |
| * Copyright (c) 2017 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_SCALE_LAYER_DATASET |
| #define ARM_COMPUTE_TEST_SCALE_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 ScaleLayerDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, InterpolationPolicy, BorderMode, SamplingPolicy, float, float>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator src_it, |
| std::vector<InterpolationPolicy>::const_iterator policy_it, |
| std::vector<BorderMode>::const_iterator border_mode_it, |
| std::vector<SamplingPolicy>::const_iterator sampling_policy_it, |
| std::vector<float>::const_iterator scale_x_it, |
| std::vector<float>::const_iterator scale_y_it) |
| : _src_it{ std::move(src_it) }, |
| _policy_it{ std::move(policy_it) }, |
| _border_mode_it{ std::move(border_mode_it) }, |
| _sampling_policy_it{ std::move(sampling_policy_it) }, |
| _scale_x_it{ std::move(scale_x_it) }, |
| _scale_y_it{ std::move(scale_y_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "In=" << *_src_it << ":"; |
| description << "InterpolationPolicy=" << *_policy_it << ":"; |
| description << "BorderMode=" << *_border_mode_it << ":"; |
| description << "SamplingPolicy=" << *_sampling_policy_it << ":"; |
| description << "Scale_x=" << *_scale_x_it << ":"; |
| description << "Scale_y=" << *_scale_y_it; |
| return description.str(); |
| } |
| |
| ScaleLayerDataset::type operator*() const |
| { |
| return std::make_tuple(*_src_it, *_policy_it, *_border_mode_it, *_sampling_policy_it, *_scale_x_it, *_scale_y_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_src_it; |
| ++_policy_it; |
| ++_border_mode_it; |
| ++_sampling_policy_it; |
| ++_scale_x_it; |
| ++_scale_y_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _src_it; |
| std::vector<InterpolationPolicy>::const_iterator _policy_it; |
| std::vector<BorderMode>::const_iterator _border_mode_it; |
| std::vector<SamplingPolicy>::const_iterator _sampling_policy_it; |
| std::vector<float>::const_iterator _scale_x_it; |
| std::vector<float>::const_iterator _scale_y_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_src_shapes.begin(), _policy.begin(), _border_mode.begin(), _sampling_policy.begin(), _scale_x.begin(), _scale_y.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_src_shapes.size(), std::min(_policy.size(), std::min(_border_mode.size(), std::min(_sampling_policy.size(), std::min(_scale_x.size(), _scale_y.size()))))); |
| } |
| |
| void add_config(TensorShape src, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, float scale_x, float scale_y) |
| { |
| _src_shapes.emplace_back(std::move(src)); |
| _policy.emplace_back(std::move(policy)); |
| _border_mode.emplace_back(std::move(border_mode)); |
| _sampling_policy.emplace_back(std::move(sampling_policy)); |
| _scale_x.emplace_back(std::move(scale_x)); |
| _scale_y.emplace_back(std::move(scale_y)); |
| } |
| |
| protected: |
| ScaleLayerDataset() = default; |
| ScaleLayerDataset(ScaleLayerDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _src_shapes{}; |
| std::vector<InterpolationPolicy> _policy{}; |
| std::vector<BorderMode> _border_mode{}; |
| std::vector<SamplingPolicy> _sampling_policy{}; |
| std::vector<float> _scale_x{}; |
| std::vector<float> _scale_y{}; |
| }; |
| |
| /** Data set containing small scale layer shapes. */ |
| class SmallScaleLayerShapes final : public ScaleLayerDataset |
| { |
| public: |
| SmallScaleLayerShapes() |
| { |
| add_config(TensorShape(128U, 64U, 1U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 5, 5); |
| add_config(TensorShape(9U, 9U, 3U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 7, 7); |
| add_config(TensorShape(27U, 13U, 2U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 9, 9); |
| } |
| }; |
| |
| /** Data set containing large scale layer shapes. */ |
| class LargeScaleLayerShapes final : public ScaleLayerDataset |
| { |
| public: |
| LargeScaleLayerShapes() |
| { |
| add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| |
| add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| |
| add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| } |
| }; |
| |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_SCALE_LAYER_DATASET */ |