From 57a150ac8a0238b29ba08ea0018396adfa3bc1b8 Mon Sep 17 00:00:00 2001 From: Frank Lei Date: Tue, 19 Dec 2017 10:14:57 +0800 Subject: APPBROWSER-341: Add ResizeNearest operator support Change-Id: I1eefcb89b2185514f6eba8f3d0e7b126b20f7d8f Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113856 Reviewed-by: Joel Liang Tested-by: Jenkins Reviewed-by: Pablo Tello --- tests/datasets/ScaleLayerDataset.h | 169 +++++++++++++++++++++++++++++++++++++ 1 file changed, 169 insertions(+) create mode 100644 tests/datasets/ScaleLayerDataset.h (limited to 'tests/datasets') diff --git a/tests/datasets/ScaleLayerDataset.h b/tests/datasets/ScaleLayerDataset.h new file mode 100644 index 0000000000..8b5fbbe025 --- /dev/null +++ b/tests/datasets/ScaleLayerDataset.h @@ -0,0 +1,169 @@ +/* + * 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; + + struct iterator + { + iterator(std::vector::const_iterator src_it, + std::vector::const_iterator policy_it, + std::vector::const_iterator border_mode_it, + std::vector::const_iterator sampling_policy_it, + std::vector::const_iterator scale_x_it, + std::vector::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::const_iterator _src_it; + std::vector::const_iterator _policy_it; + std::vector::const_iterator _border_mode_it; + std::vector::const_iterator _sampling_policy_it; + std::vector::const_iterator _scale_x_it; + std::vector::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 _src_shapes{}; + std::vector _policy{}; + std::vector _border_mode{}; + std::vector _sampling_policy{}; + std::vector _scale_x{}; + std::vector _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 */ -- cgit v1.2.1