273 lines
14 KiB
C++
273 lines
14 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET
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#define ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace datasets
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{
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class DepthwiseConvolutionLayerDataset
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{
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public:
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using type = std::tuple<TensorShape, Size2D, PadStrideInfo, Size2D>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator src_it,
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std::vector<Size2D>::const_iterator weights_it,
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std::vector<PadStrideInfo>::const_iterator infos_it,
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std::vector<Size2D>::const_iterator dilation_it)
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: _src_it{ std::move(src_it) },
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_weights_it{ std::move(weights_it) },
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_infos_it{ std::move(infos_it) },
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_dilation_it{ std::move(dilation_it) }
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{
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}
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std::string description() const
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{
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std::stringstream description;
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description << "In=" << *_src_it << ":";
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description << "Weights=" << *_weights_it << ":";
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description << "Info=" << *_infos_it << ":";
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description << "Dilation=" << *_dilation_it;
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return description.str();
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}
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DepthwiseConvolutionLayerDataset::type operator*() const
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{
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return std::make_tuple(*_src_it, *_weights_it, *_infos_it, *_dilation_it);
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}
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iterator &operator++()
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{
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++_src_it;
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++_weights_it;
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++_infos_it;
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++_dilation_it;
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return *this;
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}
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private:
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std::vector<TensorShape>::const_iterator _src_it;
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std::vector<Size2D>::const_iterator _weights_it;
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std::vector<PadStrideInfo>::const_iterator _infos_it;
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std::vector<Size2D>::const_iterator _dilation_it;
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};
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iterator begin() const
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{
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return iterator(_src_shapes.begin(), _weight_shapes.begin(), _infos.begin(), _dilations.begin());
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}
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int size() const
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{
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return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_infos.size(), _dilations.size())));
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}
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void add_config(TensorShape src, Size2D weights, PadStrideInfo info, Size2D dilation = Size2D(1U, 1U))
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{
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_src_shapes.emplace_back(std::move(src));
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_weight_shapes.emplace_back(std::move(weights));
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_infos.emplace_back(std::move(info));
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_dilations.emplace_back(std::move(dilation));
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}
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protected:
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DepthwiseConvolutionLayerDataset() = default;
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DepthwiseConvolutionLayerDataset(DepthwiseConvolutionLayerDataset &&) = default;
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private:
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std::vector<TensorShape> _src_shapes{};
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std::vector<Size2D> _weight_shapes{};
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std::vector<PadStrideInfo> _infos{};
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std::vector<Size2D> _dilations{};
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};
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/** Dataset containing small, generic depthwise convolution shapes. */
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class SmallDepthwiseConvolutionLayerDataset final : public DepthwiseConvolutionLayerDataset
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{
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public:
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SmallDepthwiseConvolutionLayerDataset()
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{
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add_config(TensorShape(7U, 7U, 1U), Size2D(1U, 1U), PadStrideInfo(1, 1, 0, 0));
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add_config(TensorShape(23U, 27U, 5U), Size2D(3U, 5U), PadStrideInfo(2, 1, 0, 0));
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add_config(TensorShape(33U, 27U, 7U), Size2D(7U, 3U), PadStrideInfo(3, 2, 1, 0));
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// Asymmetric padding
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add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 1, 2, 0, DimensionRoundingType::FLOOR));
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add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 1, 0, 2, DimensionRoundingType::FLOOR));
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// Ceil rounding
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add_config(TensorShape(7U, 8U, 5U, 9U), Size2D(8U, 6U), PadStrideInfo(2, 3, 1, 1, 1, 3, DimensionRoundingType::CEIL), Size2D(1U, 2U));
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}
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};
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/** Dataset containing large, generic depthwise convolution shapes. */
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class LargeDepthwiseConvolutionLayerDataset final : public DepthwiseConvolutionLayerDataset
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{
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public:
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LargeDepthwiseConvolutionLayerDataset()
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{
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add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 4U), PadStrideInfo(1, 2, 0, 1));
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add_config(TensorShape(17U, 31U, 2U), Size2D(5U, 9U), PadStrideInfo(1, 2, 1, 1));
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add_config(TensorShape(23U, 27U, 5U), Size2D(11U, 3U), PadStrideInfo(1, 2, 0, 0));
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add_config(TensorShape(17U, 31U, 2U, 3U), Size2D(5U, 9U), PadStrideInfo(1, 2, 1, 1));
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add_config(TensorShape(233U, 277U, 55U), Size2D(1U, 1U), PadStrideInfo(2, 1, 0, 0));
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add_config(TensorShape(333U, 277U, 77U), Size2D(1U, 1U), PadStrideInfo(3, 2, 1, 0));
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add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 4U), PadStrideInfo(1, 2, 1, 1));
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add_config(TensorShape(233U, 277U, 55U), Size2D(3U, 4U), PadStrideInfo(1, 2, 0, 0));
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add_config(TensorShape(333U, 277U, 77U), Size2D(3U, 4U), PadStrideInfo(2, 3, 0, 1));
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add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 4U), PadStrideInfo(2, 1, 1, 1));
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// Asymmetric padding
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add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 2, 1, 2, 0, DimensionRoundingType::FLOOR));
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add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 3, 0, 2, DimensionRoundingType::FLOOR));
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add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 0, 1, 0, DimensionRoundingType::FLOOR));
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add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR));
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}
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};
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/** Dataset containing small, 3x3 depthwise convolution shapes. */
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class SmallDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset
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{
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public:
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SmallDepthwiseConvolutionLayerDataset3x3()
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{
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add_config(TensorShape(3U, 3U, 2U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0));
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add_config(TensorShape(7U, 8U, 3U, 2U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0));
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add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 0));
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// Asymmetric padding
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add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR));
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}
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};
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class SmallDepthwiseConvolutionLayerDataset3x3NCHW final : public DepthwiseConvolutionLayerDataset
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{
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public:
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SmallDepthwiseConvolutionLayerDataset3x3NCHW()
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{
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add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(3, 2, 1, 1));
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// Asymmetric padding
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add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(2, 2, 3, 1, 2, 1, DimensionRoundingType::FLOOR));
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}
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};
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/** Dataset containing large, 3x3 depthwise convolution shapes. */
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class LargeDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset
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{
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public:
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LargeDepthwiseConvolutionLayerDataset3x3()
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{
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 1));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1));
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add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 0));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 2, 0, 1));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 1));
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add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 0));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 1, 0, 1));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 1));
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add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 0));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1));
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add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 1));
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add_config(TensorShape(233U, 277U, 55U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 1, 0, 0));
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add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 1));
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add_config(TensorShape(233U, 277U, 55U), Size2D(3U, 3U), PadStrideInfo(1, 2, 0, 0));
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add_config(TensorShape(333U, 277U, 77U, 5U), Size2D(3U, 3U), PadStrideInfo(2, 3, 0, 1));
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add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 1));
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}
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};
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/** Dataset containing optimized, 3x3 depthwise convolution shapes. */
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class SmallOptimizedDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset
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{
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public:
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SmallOptimizedDepthwiseConvolutionLayerDataset3x3()
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{
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// Stride 1
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add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL));
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add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL));
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add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 2, 2, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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// Stride 2
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add_config(TensorShape(9U, 9U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL));
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add_config(TensorShape(9U, 9U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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add_config(TensorShape(9U, 9U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 1, DimensionRoundingType::CEIL));
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// TODO(COMPMID-2464): Enable once dilated conv with stride 2 is supported
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// add_config(TensorShape(9U, 9U, 1U), Size2D(3U, 3U), PadStrideInfo(2, 2, 2, 2, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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}
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};
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/** Dataset containing optimized, 3x3 depthwise convolution shapes. */
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class LargeOptimizedDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset
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{
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public:
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LargeOptimizedDepthwiseConvolutionLayerDataset3x3()
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{
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// Stride 1
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add_config(TensorShape(233U, 277U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL));
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add_config(TensorShape(233U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL));
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add_config(TensorShape(7U, 7U, 21U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL));
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add_config(TensorShape(28U, 28U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL));
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add_config(TensorShape(28U, 28U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL));
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// Stride 2
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add_config(TensorShape(233U, 277U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL));
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add_config(TensorShape(233U, 277U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 1, 1, 1, DimensionRoundingType::CEIL));
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add_config(TensorShape(8U, 8U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::FLOOR));
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add_config(TensorShape(8U, 8U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL));
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add_config(TensorShape(8U, 8U, 33U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL));
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add_config(TensorShape(64U, 64U, 128U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL));
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}
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};
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/** Dataset containing optimized, 5x5 depthwise convolution shapes. */
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class SmallOptimizedDepthwiseConvolutionLayerDataset5x5 final : public DepthwiseConvolutionLayerDataset
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{
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public:
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SmallOptimizedDepthwiseConvolutionLayerDataset5x5()
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{
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// Stride 1
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add_config(TensorShape(7U, 7U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL));
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add_config(TensorShape(11U, 11U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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add_config(TensorShape(7U, 7U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 2, 2, DimensionRoundingType::CEIL));
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add_config(TensorShape(7U, 7U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 4, 4, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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// Stride 2
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add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL));
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// TODO(COMPMID-2464): Enable once dilated conv with stride 2 is supported
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// add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 2, 2, 2, 2, DimensionRoundingType::CEIL));
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// TODO(COMPMID-2464): Enable once dilated conv with stride 2 is supported
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// add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 4, 4, 4, 4, DimensionRoundingType::CEIL), Size2D(2U, 2U));
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}
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};
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} // namespace datasets
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET */
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