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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h new file mode 100644 index 0000000000..8b33fae6f3 --- /dev/null +++ b/arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h @@ -0,0 +1,71 @@ +/* + * 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_NEDEPTHWISEVECTORTOTENSORKERNEL_H__ +#define __ARM_COMPUTE_NEDEPTHWISEVECTORTOTENSORKERNEL_H__ + +#include "arm_compute/core/NEON/INEKernel.h" + +namespace arm_compute +{ +class ITensor; + +/** Interface for the depthwise vector to tensor kernel. + * + * This kernel takes the 1D tensor that's been produced by the MatrixVectorMultiply + * kernel and reshapes it to given width and height (previously calculated, based + * on input/weights dimensions and convolution strides and padding). + * + **/ +class NEDepthwiseVectorToTensorKernel : public INEKernel +{ +public: + /** Default constructor */ + NEDepthwiseVectorToTensorKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEDepthwiseVectorToTensorKernel(const NEDepthwiseVectorToTensorKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEDepthwiseVectorToTensorKernel &operator=(const NEDepthwiseVectorToTensorKernel &) = delete; + /** Allow instances of this class to be moved */ + NEDepthwiseVectorToTensorKernel(NEDepthwiseVectorToTensorKernel &&) = default; + /** Allow instances of this class to be moved */ + NEDepthwiseVectorToTensorKernel &operator=(NEDepthwiseVectorToTensorKernel &&) = default; + /** Set the input and output of the kernel. + * + * @param[in] input The input vector to convert. Data type supported: F32. + * @param[out] output The output tensor. 3 lower dimensions represent a single input [width, height, IFM]. Data type supported: same as @p input. + * @param[in] conv_w The converted tensor's width. + * @param[in] conv_h The converted tensor's height. + */ + void configure(const ITensor *input, ITensor *output, size_t conv_w, size_t conv_h); + + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; + +private: + const ITensor *_input; + ITensor *_output; + std::pair<size_t, size_t> _conv_dims; +}; +} // arm_compute +#endif /*__ARM_COMPUTE_NEDEPTHWISEVECTORTOTENSORKERNEL_H__ */ |