| /* |
| * Copyright (c) 2017-2019 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_DEPTHWISE_CONVOLUTION_DATASET |
| #define ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_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 DepthwiseConvolutionLayerDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, Size2D, PadStrideInfo, Size2D>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator src_it, |
| std::vector<Size2D>::const_iterator weights_it, |
| std::vector<PadStrideInfo>::const_iterator infos_it, |
| std::vector<Size2D>::const_iterator dilation_it) |
| : _src_it{ std::move(src_it) }, |
| _weights_it{ std::move(weights_it) }, |
| _infos_it{ std::move(infos_it) }, |
| _dilation_it{ std::move(dilation_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "In=" << *_src_it << ":"; |
| description << "Weights=" << *_weights_it << ":"; |
| description << "Info=" << *_infos_it << ":"; |
| description << "Dilation=" << *_dilation_it; |
| return description.str(); |
| } |
| |
| DepthwiseConvolutionLayerDataset::type operator*() const |
| { |
| return std::make_tuple(*_src_it, *_weights_it, *_infos_it, *_dilation_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_src_it; |
| ++_weights_it; |
| ++_infos_it; |
| ++_dilation_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _src_it; |
| std::vector<Size2D>::const_iterator _weights_it; |
| std::vector<PadStrideInfo>::const_iterator _infos_it; |
| std::vector<Size2D>::const_iterator _dilation_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_src_shapes.begin(), _weight_shapes.begin(), _infos.begin(), _dilations.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_infos.size(), _dilations.size()))); |
| } |
| |
| void add_config(TensorShape src, Size2D weights, PadStrideInfo info, Size2D dilation = Size2D(1U, 1U)) |
| { |
| _src_shapes.emplace_back(std::move(src)); |
| _weight_shapes.emplace_back(std::move(weights)); |
| _infos.emplace_back(std::move(info)); |
| _dilations.emplace_back(std::move(dilation)); |
| } |
| |
| protected: |
| DepthwiseConvolutionLayerDataset() = default; |
| DepthwiseConvolutionLayerDataset(DepthwiseConvolutionLayerDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _src_shapes{}; |
| std::vector<Size2D> _weight_shapes{}; |
| std::vector<PadStrideInfo> _infos{}; |
| std::vector<Size2D> _dilations{}; |
| }; |
| |
| /** Dataset containing small, generic depthwise convolution shapes. */ |
| class SmallDepthwiseConvolutionLayerDataset final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| SmallDepthwiseConvolutionLayerDataset() |
| { |
| add_config(TensorShape(7U, 7U, 1U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0)); |
| add_config(TensorShape(23U, 27U, 5U), Size2D(3U, 5U), PadStrideInfo(2, 1, 0, 0)); |
| add_config(TensorShape(33U, 27U, 7U), Size2D(7U, 3U), PadStrideInfo(3, 2, 1, 0)); |
| // Asymmetric padding |
| add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 1, 2, 0, DimensionRoundingType::FLOOR)); |
| add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 1, 0, 2, DimensionRoundingType::FLOOR)); |
| } |
| }; |
| |
| /** Dataset containing large, generic depthwise convolution shapes. */ |
| class LargeDepthwiseConvolutionLayerDataset final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| LargeDepthwiseConvolutionLayerDataset() |
| { |
| add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(1, 2, 0, 1)); |
| add_config(TensorShape(17U, 31U, 2U), Size2D(5U, 9U), PadStrideInfo(1, 2, 1, 1)); |
| add_config(TensorShape(23U, 27U, 5U), Size2D(11U, 3U), PadStrideInfo(1, 2, 0, 0)); |
| add_config(TensorShape(17U, 31U, 2U, 3U), Size2D(5U, 9U), PadStrideInfo(1, 2, 1, 1)); |
| add_config(TensorShape(233U, 277U, 55U), Size2D(3U, 3U), PadStrideInfo(2, 1, 0, 0)); |
| add_config(TensorShape(333U, 277U, 77U), Size2D(3U, 3U), PadStrideInfo(3, 2, 1, 0)); |
| add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 1)); |
| add_config(TensorShape(233U, 277U, 55U), Size2D(3U, 3U), PadStrideInfo(1, 2, 0, 0)); |
| add_config(TensorShape(333U, 277U, 77U), Size2D(3U, 3U), PadStrideInfo(2, 3, 0, 1)); |
| add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 1)); |
| // Asymmetric padding |
| add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 2, 1, 2, 0, DimensionRoundingType::FLOOR)); |
| add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 3, 0, 2, DimensionRoundingType::FLOOR)); |
| add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 1, 0, 1, 0, DimensionRoundingType::FLOOR)); |
| add_config(TensorShape(33U, 27U, 7U), Size2D(5U, 7U), PadStrideInfo(3, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR)); |
| } |
| }; |
| |
| /** Dataset containing small, 3x3 depthwise convolution shapes. */ |
| class SmallDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| SmallDepthwiseConvolutionLayerDataset3x3() |
| { |
| add_config(TensorShape(3U, 3U, 2U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0)); |
| add_config(TensorShape(7U, 7U, 3U, 2U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0)); |
| add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 0)); |
| // Asymmetric padding |
| add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR)); |
| } |
| }; |
| |
| class SmallDepthwiseConvolutionLayerDataset3x3NCHW final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| SmallDepthwiseConvolutionLayerDataset3x3NCHW() |
| { |
| add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(3, 2, 1, 1)); |
| // Asymmetric padding |
| add_config(TensorShape(33U, 27U, 11U), Size2D(3U, 3U), PadStrideInfo(2, 2, 3, 1, 2, 1, DimensionRoundingType::FLOOR)); |
| } |
| }; |
| |
| /** Dataset containing large, 3x3 depthwise convolution shapes. */ |
| class LargeDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| LargeDepthwiseConvolutionLayerDataset3x3() |
| { |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 1)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1)); |
| add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 0)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 2, 0, 1)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 1)); |
| add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 0)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 1, 0, 1)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 1)); |
| add_config(TensorShape(21U, 31U, 9U, 4U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 0)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1)); |
| add_config(TensorShape(33U, 27U, 11U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 1)); |
| add_config(TensorShape(233U, 277U, 55U, 3U), Size2D(3U, 3U), PadStrideInfo(2, 1, 0, 0)); |
| add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 3U), PadStrideInfo(1, 2, 1, 1)); |
| add_config(TensorShape(233U, 277U, 55U), Size2D(3U, 3U), PadStrideInfo(1, 2, 0, 0)); |
| add_config(TensorShape(333U, 277U, 77U, 5U), Size2D(3U, 3U), PadStrideInfo(2, 3, 0, 1)); |
| add_config(TensorShape(177U, 311U, 22U), Size2D(3U, 3U), PadStrideInfo(2, 1, 1, 1)); |
| } |
| }; |
| |
| /** Dataset containing optimized, 3x3 depthwise convolution shapes. */ |
| class SmallOptimizedDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| SmallOptimizedDepthwiseConvolutionLayerDataset3x3() |
| { |
| // Stride 1 |
| add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(7U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 2, 2, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| // Stride 2 |
| add_config(TensorShape(9U, 9U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(9U, 9U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| add_config(TensorShape(9U, 9U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 1, DimensionRoundingType::CEIL)); |
| // TODO(COMPMID-2464): Enable once dilated conv with stride 2 is supported |
| // add_config(TensorShape(9U, 9U, 1U), Size2D(3U, 3U), PadStrideInfo(2, 2, 2, 2, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| } |
| }; |
| /** Dataset containing optimized, 3x3 depthwise convolution shapes. */ |
| class LargeOptimizedDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| LargeOptimizedDepthwiseConvolutionLayerDataset3x3() |
| { |
| // Stride 1 |
| add_config(TensorShape(233U, 277U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(233U, 7U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(7U, 7U, 21U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(28U, 28U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(28U, 28U, 16U), Size2D(3U, 3U), PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)); |
| // Stride 2 |
| add_config(TensorShape(233U, 277U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(233U, 277U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 1, 1, 1, 1, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(8U, 8U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::FLOOR)); |
| add_config(TensorShape(8U, 8U, 32U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(8U, 8U, 33U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(64U, 64U, 128U), Size2D(3U, 3U), PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL)); |
| } |
| }; |
| |
| /** Dataset containing optimized, 5x5 depthwise convolution shapes. */ |
| class SmallOptimizedDepthwiseConvolutionLayerDataset5x5 final : public DepthwiseConvolutionLayerDataset |
| { |
| public: |
| SmallOptimizedDepthwiseConvolutionLayerDataset5x5() |
| { |
| // Stride 1 |
| add_config(TensorShape(7U, 7U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(11U, 11U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| add_config(TensorShape(7U, 7U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 2, 2, DimensionRoundingType::CEIL)); |
| add_config(TensorShape(7U, 7U, 16U), Size2D(5U, 5U), PadStrideInfo(1, 1, 4, 4, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| // Stride 2 |
| add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)); |
| // TODO(COMPMID-2464): Enable once dilated conv with stride 2 is supported |
| // add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 2, 2, 2, 2, DimensionRoundingType::CEIL)); |
| // TODO(COMPMID-2464): Enable once dilated conv with stride 2 is supported |
| // add_config(TensorShape(9U, 9U, 32U), Size2D(5U, 5U), PadStrideInfo(2, 2, 4, 4, 4, 4, DimensionRoundingType::CEIL), Size2D(2U, 2U)); |
| } |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET */ |
