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Giorgio Arena93a690e2017-08-01 16:09:33 +01001/*
Usama Arife73686a2019-04-08 17:30:48 +01002 * Copyright (c) 2017-2019 ARM Limited.
Giorgio Arena93a690e2017-08-01 16:09:33 +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 */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000024#ifndef __ARM_COMPUTE_ICLDEPTHWISECONVOLUTIONKERNEL3x3_H__
25#define __ARM_COMPUTE_ICLDEPTHWISECONVOLUTIONKERNEL3x3_H__
Giorgio Arena93a690e2017-08-01 16:09:33 +010026
27#include "arm_compute/core/CL/ICLKernel.h"
28
29namespace arm_compute
30{
31class ICLTensor;
32
33/** Interface for the kernel to run a 3x3 depthwise convolution on a tensor.
34 */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000035class ICLDepthwiseConvolutionLayer3x3Kernel : public ICLKernel
Giorgio Arena93a690e2017-08-01 16:09:33 +010036{
37public:
38 /** Default constructor */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000039 ICLDepthwiseConvolutionLayer3x3Kernel()
Giorgio Arenafa23f112018-06-19 11:27:38 +010040 : _border_size(0), _input(), _output(), _weights(), _biases(), _conv_stride_y(1)
Giorgio Arenadfca60b2018-01-31 10:30:59 +000041 {
42 }
Giorgio Arena93a690e2017-08-01 16:09:33 +010043 /** Prevent instances of this class from being copied (As this class contains pointers) */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000044 ICLDepthwiseConvolutionLayer3x3Kernel(const ICLDepthwiseConvolutionLayer3x3Kernel &) = delete;
Giorgio Arena93a690e2017-08-01 16:09:33 +010045 /** Prevent instances of this class from being copied (As this class contains pointers) */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000046 ICLDepthwiseConvolutionLayer3x3Kernel &operator=(const ICLDepthwiseConvolutionLayer3x3Kernel &) = delete;
Giorgio Arena93a690e2017-08-01 16:09:33 +010047 /** Default Move Constructor. */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000048 ICLDepthwiseConvolutionLayer3x3Kernel(ICLDepthwiseConvolutionLayer3x3Kernel &&) = default;
Alex Gildayc357c472018-03-21 13:54:09 +000049 /** Default move assignment operator */
Giorgio Arenadfca60b2018-01-31 10:30:59 +000050 ICLDepthwiseConvolutionLayer3x3Kernel &operator=(ICLDepthwiseConvolutionLayer3x3Kernel &&) = default;
Giorgio Arena93a690e2017-08-01 16:09:33 +010051 /** Initialize the function's source, destination, conv and border_size.
52 *
Giorgio Arena76572242018-04-04 17:44:26 +010053 * @param[in] input Source tensor. DataType supported: QASYMM8/F16/F32.
54 * @param[in] weights Weights tensor. A 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as @p input.
Usama Arife73686a2019-04-08 17:30:48 +010055 * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
Giorgio Arena76572242018-04-04 17:44:26 +010056 * Data type supported: Same as @p input.
57 * @param[out] output Destination tensor. Data type supported: Same as @p input.
58 * @param[in] conv_info Padding and stride information to use for the convolution.
59 * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
60 * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU for QASYMM8 supported.
Usama Arife73686a2019-04-08 17:30:48 +010061 * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
Giorgio Arena93a690e2017-08-01 16:09:33 +010062 */
Giorgio Arena76572242018-04-04 17:44:26 +010063 virtual void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1,
Usama Arife73686a2019-04-08 17:30:48 +010064 ActivationLayerInfo act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U)) = 0;
Giorgio Arena93a690e2017-08-01 16:09:33 +010065
Giorgio Arenadfca60b2018-01-31 10:30:59 +000066protected:
Giorgio Arena93a690e2017-08-01 16:09:33 +010067 BorderSize _border_size;
68 const ICLTensor *_input;
69 ICLTensor *_output;
70 const ICLTensor *_weights;
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010071 const ICLTensor *_biases;
Giorgio Arena93a690e2017-08-01 16:09:33 +010072 unsigned int _conv_stride_y;
Giorgio Arena93a690e2017-08-01 16:09:33 +010073};
Gian Marco Iodicef670a0a2017-09-18 12:20:45 +010074} // namespace arm_compute
Giorgio Arenadfca60b2018-01-31 10:30:59 +000075#endif /*__ARM_COMPUTE_ICLDEPTHWISECONVOLUTIONKERNEL3x3_H__ */