| /* |
| * 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_NEDECONVOLUTIONLAYERKERNEL_H__ |
| #define __ARM_COMPUTE_NEDECONVOLUTIONLAYERKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** NEON kernel to perform scaling on a tensor */ |
| class NEDeconvolutionLayerUpsampleKernel : public INEKernel |
| { |
| public: |
| /** Default constructor */ |
| NEDeconvolutionLayerUpsampleKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDeconvolutionLayerUpsampleKernel(const NEDeconvolutionLayerUpsampleKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDeconvolutionLayerUpsampleKernel &operator=(const NEDeconvolutionLayerUpsampleKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| NEDeconvolutionLayerUpsampleKernel(NEDeconvolutionLayerUpsampleKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| NEDeconvolutionLayerUpsampleKernel &operator=(NEDeconvolutionLayerUpsampleKernel &&) = default; |
| /** Default destructor */ |
| ~NEDeconvolutionLayerUpsampleKernel() = default; |
| |
| /** Initialise the kernel's inputs, output and interpolation policy |
| * |
| * @param[in] input Source tensor. Data types supported: F32. |
| * @param[in] offsets Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32. |
| * @param[out] output Destination tensor. Data types supported: F32. 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. |
| */ |
| void configure(const ITensor *input, const ITensor *offsets, ITensor *output); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| BorderSize border_size() const override; |
| |
| private: |
| /** Function to perform scale using nearest interpolation on the given window */ |
| void scale_nearest(const Window &window); |
| |
| const ITensor *_offsets; |
| const ITensor *_input; |
| ITensor *_output; |
| }; |
| } // arm_compute |
| #endif /*__ARM_COMPUTE_NEDECONVOLUTIONLAYERKERNEL_H__ */ |