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Michalis Spyrou7362f0d2017-10-18 17:58:22 +01001/*
Georgios Pinitasf72f9362018-01-12 16:29:45 +00002 * Copyright (c) 2017-2018 ARM Limited.
Michalis Spyrou7362f0d2017-10-18 17:58:22 +01003 *
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_NEDEPTHWISECONVOLUTIONKERNEL3x3_H__
25#define __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONKERNEL3x3_H__
26
27#include "arm_compute/core/NEON/INEKernel.h"
28
29namespace arm_compute
30{
31class ITensor;
32
33/** Interface for the kernel to run a 3x3 depthwise convolution on a tensor.
34 */
Giorgio Arena04a8f8c2017-11-23 11:45:24 +000035class NEDepthwiseConvolutionLayer3x3Kernel : public INEKernel
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010036{
37public:
Anthony Barbiere8a49832018-01-18 10:04:05 +000038 const char *name() const override
39 {
40 return "NEDepthwiseConvolutionLayer3x3Kernel";
41 }
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010042 /** Default constructor */
Giorgio Arena04a8f8c2017-11-23 11:45:24 +000043 NEDepthwiseConvolutionLayer3x3Kernel();
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010044 /** Prevent instances of this class from being copied (As this class contains pointers) */
Giorgio Arena04a8f8c2017-11-23 11:45:24 +000045 NEDepthwiseConvolutionLayer3x3Kernel(const NEDepthwiseConvolutionLayer3x3Kernel &) = delete;
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010046 /** Prevent instances of this class from being copied (As this class contains pointers) */
Giorgio Arena04a8f8c2017-11-23 11:45:24 +000047 NEDepthwiseConvolutionLayer3x3Kernel &operator=(const NEDepthwiseConvolutionLayer3x3Kernel &) = delete;
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010048 /** Default Move Constructor. */
Giorgio Arena04a8f8c2017-11-23 11:45:24 +000049 NEDepthwiseConvolutionLayer3x3Kernel(NEDepthwiseConvolutionLayer3x3Kernel &&) = default;
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010050 /** Default move assignment operator. */
Giorgio Arena04a8f8c2017-11-23 11:45:24 +000051 NEDepthwiseConvolutionLayer3x3Kernel &operator=(NEDepthwiseConvolutionLayer3x3Kernel &&) = default;
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010052 /** Initialize the function's source, destination, conv and border_size.
53 *
Georgios Pinitasf72f9362018-01-12 16:29:45 +000054 * @param[in] input Source tensor. DataType supported: QASYMM8, F32.
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010055 * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as @p input.
Giorgio Arena82afedf2017-11-15 13:36:15 +000056 * @param[out] output Destination tensor. Data type supported: Same as @p input.
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010057 * @param[in] conv_info Padding and stride information to use for the convolution.
58 */
Giorgio Arena82afedf2017-11-15 13:36:15 +000059 void configure(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info);
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010060
61 // Inherited methods overridden:
62 void run(const Window &window, const ThreadInfo &info) override;
63 BorderSize border_size() const override;
64
65private:
66 BorderSize _border_size;
67 const ITensor *_input;
68 ITensor *_output;
69 const ITensor *_weights;
70 PadStrideInfo _conv_info;
Georgios Pinitasf72f9362018-01-12 16:29:45 +000071 unsigned int _num_elems_written_per_iteration;
Michalis Spyrou7362f0d2017-10-18 17:58:22 +010072};
73} // namespace arm_compute
Anthony Barbiere8a49832018-01-18 10:04:05 +000074#endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONKERNEL3x3_H__ */