Manuel Bottini | 10b3826 | 2021-02-19 18:16:44 +0000 | [diff] [blame] | 1 | /* |
Michalis Spyrou | c5b1bee | 2021-04-06 11:54:03 +0100 | [diff] [blame] | 2 | * Copyright (c) 2016-2021 Arm Limited. |
Manuel Bottini | 10b3826 | 2021-02-19 18:16:44 +0000 | [diff] [blame] | 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/core/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 |
| 39 | { |
| 40 | public: |
| 41 | /** Default constructor */ |
| 42 | CpuScaleKernel(); |
| 43 | ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuScaleKernel); |
| 44 | /** Initialise the kernel's inputs, output and interpolation policy |
| 45 | * |
| 46 | * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor |
| 47 | * @note Using @p policy Area only supports data layout NCHW and input data type U8. |
| 48 | * |
| 49 | * @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. |
| 50 | * @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 |
| 51 | * @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 |
| 52 | * @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. |
| 53 | * @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. |
| 54 | * @param[in] info @ref ScaleKernelInfo to use for configuration |
| 55 | */ |
| 56 | void configure(const ITensorInfo *src, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *dst, |
| 57 | const ScaleKernelInfo &info); |
| 58 | /** Static function to check if given info will lead to a valid configuration of @ref CpuScaleKernel |
| 59 | * |
| 60 | * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor |
| 61 | * @note Using @p policy Area only supports data layout NCHW and input data type U8. |
| 62 | * |
| 63 | * @param[in] src Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. |
| 64 | * @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 |
| 65 | * @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 |
| 66 | * @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. |
| 67 | * @param[in] 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. |
| 68 | * @param[in] info @ref ScaleKernelInfo to use for validation |
| 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 | private: |
| 78 | #ifdef ENABLE_NCHW_KERNELS |
| 79 | /** function to perform scale using area interpolation on the given window |
| 80 | * |
| 81 | * @note Used only in case down-sampling. |
| 82 | */ |
| 83 | void scale_area_nchw_u8(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); |
| 84 | |
| 85 | /** function to perform scale using bilinear interpolation on the given window */ |
| 86 | template <typename T> |
| 87 | void scale_bilinear_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); |
| 88 | /** function to perform scale using bilinear interpolation on the given window */ |
| 89 | template <typename T> |
| 90 | void scale_bilinear_qasymm(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); |
| 91 | |
| 92 | /** function to perform scale using nearest neighbour on the given window */ |
| 93 | template <typename T> |
| 94 | void scale_nearest_nchw(const ITensor *src, ITensor *dst, const ITensor *dx, const ITensor *dy, const ITensor *offsets, const Window &window); |
| 95 | #endif // ENABLE_NCHW_KERNELS |
| 96 | |
| 97 | /** Scale function to use for the particular function to use */ |
| 98 | using ScaleFunctionPtr = void (CpuScaleKernel::*)(const ITensor *, ITensor *, const ITensor *, const ITensor *, const ITensor *, const Window &window); |
| 99 | |
| 100 | ScaleFunctionPtr _func; |
| 101 | InterpolationPolicy _policy; |
| 102 | BorderMode _border_mode; |
| 103 | PixelValue _constant_border_value; |
| 104 | float _sampling_offset; |
| 105 | bool _align_corners; |
| 106 | DataLayout _data_layout; |
| 107 | }; |
| 108 | } // namespace kernels |
| 109 | } // namespace cpu |
| 110 | } // namespace arm_compute |
| 111 | #endif /*ARM_COMPUTE_CPU_SCALEKERNEL_H */ |