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Diffstat (limited to 'arm_compute/core/NEON/kernels')
-rw-r--r-- | arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h b/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h new file mode 100644 index 0000000000..707564683f --- /dev/null +++ b/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h @@ -0,0 +1,72 @@ +/* + * 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__ */ |