1 /* 2 * Copyright (c) 2016-2022 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CPU_SCALEKERNEL_H 25 #define ARM_COMPUTE_CPU_SCALEKERNEL_H 26 27 #include "arm_compute/core/KernelDescriptors.h" 28 #include "src/core/common/Macros.h" 29 #include "src/cpu/ICpuKernel.h" 30 31 namespace arm_compute 32 { 33 namespace cpu 34 { 35 namespace kernels 36 { 37 /** Arm(R) Neon(TM) kernel to perform scaling on a tensor */ 38 class CpuScaleKernel : public ICpuKernel<CpuScaleKernel> 39 { 40 private: 41 /** Scale function to use for the particular function to use */ 42 using ScaleFunctionPtr = void (CpuScaleKernel::*)(const ITensor *, ITensor *, const ITensor *, const ITensor *, const ITensor *, const Window &window); 43 using ScaleKernelPtr = std::add_pointer<void(const ITensor *, ITensor *, const ITensor *, const ITensor *, const ITensor *, 44 InterpolationPolicy, BorderMode, PixelValue, float, bool, const Window &)>::type; 45 46 public: 47 CpuScaleKernel() = default; 48 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuScaleKernel); 49 /** Initialise the kernel's inputs, output and interpolation policy 50 * 51 * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor 52 * @note Using @p policy Area only supports data layout NCHW and input data type U8. 53 * @note Using S8 data type only supports NHWC, @p border_mode Replicate, and @p policy Bilinear 54 * 55 * @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S8/S16/F16/F32. 56 * @param[in] dx Distance x tensor info. Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32 57 * @param[in] dy Distance y tensor info. Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32 58 * @param[in] offsets Offset tensor info. Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32. 59 * @param[out] dst Destination tensor info. Data types supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. 60 * @param[in] info @ref ScaleKernelInfo to use for configuration 61 */ 62 void configure(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *dst, 63 const ScaleKernelInfo &info); 64 /** Static function to check if given info will lead to a valid configuration 65 * 66 * Similar to CpuScaleKernel::configure() 67 * 68 * @return a status 69 */ 70 static Status validate(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *dst, 71 const ScaleKernelInfo &info); 72 73 // Inherited methods overridden: 74 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; 75 const char *name() const override; 76 77 struct ScaleKernel 78 { 79 const char *name; 80 const ScaleKernelDataTypeISASelectorDataPtr is_selected; 81 ScaleKernelPtr ukernel; 82 }; 83 84 static const std::vector<ScaleKernel> &get_available_kernels(); 85 86 private: 87 #ifdef ENABLE_NCHW_KERNELS 88 /** function to perform scale using area interpolation on the given window 89 * 90 * @note Used only in case down-sampling. 91 */ 92 void scale_area_nchw_u8(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); 93 94 /** function to perform scale using bilinear interpolation on the given window */ 95 template <typename T> 96 void scale_bilinear_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); 97 /** function to perform scale using bilinear interpolation on the given window */ 98 template <typename T> 99 void scale_bilinear_qasymm(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); 100 101 /** function to perform scale using nearest neighbour on the given window */ 102 template <typename T> 103 void scale_nearest_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); 104 #endif // ENABLE_NCHW_KERNELS 105 106 ScaleFunctionPtr _func{ nullptr }; 107 InterpolationPolicy _policy{}; 108 BorderMode _border_mode{}; 109 PixelValue _constant_border_value{}; 110 float _sampling_offset{ 0 }; 111 bool _align_corners{ false }; 112 DataLayout _data_layout{ DataLayout::UNKNOWN }; 113 ScaleKernelPtr _run_method{ nullptr }; 114 std::string _name{}; 115 }; 116 } // namespace kernels 117 } // namespace cpu 118 } // namespace arm_compute 119 #endif /* ARM_COMPUTE_CPU_SCALEKERNEL_H */ 120