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Michele Di Giorgio72175632018-05-01 16:52:00 +01001/*
Teresa Charlin62687422021-04-28 10:58:49 +01002 * Copyright (c) 2018-2021 Arm Limited.
Michele Di Giorgio72175632018-05-01 16:52:00 +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 */
Michalis Spyrouf4643372019-11-29 16:17:13 +000024#ifndef ARM_COMPUTE_CLCHANNELSHUFFLELAYER_H
25#define ARM_COMPUTE_CLCHANNELSHUFFLELAYER_H
Michele Di Giorgio72175632018-05-01 16:52:00 +010026
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010027#include "arm_compute/core/Error.h"
Michele Di Giorgio72175632018-05-01 16:52:00 +010028#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
29
30namespace arm_compute
31{
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010032class CLCompileContext;
Michele Di Giorgio72175632018-05-01 16:52:00 +010033class ICLTensor;
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010034class ITensorInfo;
Michele Di Giorgio72175632018-05-01 16:52:00 +010035
36/** Basic function to run @ref CLChannelShuffleLayerKernel
37 *
38 * @note The function performs a channel shuffle operation on the input tensor. Given NCHW tensor with group G, it will
39 * first divide the channels into G groups, C = (G * C'), and perform a transpose of the channel, which gives C = (C' * G).
40 * for more details see: https://arxiv.org/pdf/1707.01083.pdf
41 */
42class CLChannelShuffleLayer : public ICLSimpleFunction
43{
44public:
45 /** Initialize the function
46 *
Teresa Charlin62687422021-04-28 10:58:49 +010047 * Valid data layouts:
48 * - NCHW
Michele Di Giorgiob8025b32021-09-03 10:29:49 +010049 * - NHWC
Teresa Charlin62687422021-04-28 10:58:49 +010050 *
51 * Valid data type configurations:
52 * |src |dst |
53 * |:--------------|:--------------|
54 * |All |All |
55 *
Manuel Bottini8481d832019-12-10 15:28:40 +000056 * @param[in] input Input tensor. Data types supported: All.
Michele Di Giorgio72175632018-05-01 16:52:00 +010057 * @param[out] output Output tensor. Data type supported: Same as @p input
58 * @param[in] num_groups Number of groups. Must be greater than 1 and the number of channels of the tensors must be a multiple of the number of groups.
59 */
60 void configure(const ICLTensor *input, ICLTensor *output, unsigned int num_groups);
Manuel Bottini2b84be52020-04-08 10:15:51 +010061 /** Initialize the function
62 *
63 * @param[in] compile_context The compile context to be used.
64 * @param[in] input Input tensor. Data types supported: All.
65 * @param[out] output Output tensor. Data type supported: Same as @p input
66 * @param[in] num_groups Number of groups. Must be greater than 1 and the number of channels of the tensors must be a multiple of the number of groups.
67 */
68 void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, unsigned int num_groups);
Michele Di Giorgio72175632018-05-01 16:52:00 +010069 /** Static function to check if given info will lead to a valid configuration of @ref CLChannelShuffleLayerKernel
70 *
Manuel Bottini8481d832019-12-10 15:28:40 +000071 * @param[in] input Input tensor info. Data types supported: All.
Michele Di Giorgio5daeffd2018-11-26 10:01:15 +000072 * @param[in] output Output tensor info. Data type supported: Same as @p input
73 * @param[in] num_groups Number of groups. Must be greater than 1 and the number of channels of the tensors must be a multiple of the number of groups.
Michele Di Giorgio72175632018-05-01 16:52:00 +010074 *
75 * @return a status
76 */
77 static Status validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int num_groups);
78};
79} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +000080#endif /* ARM_COMPUTE_CLCHANNELSHUFFLELAYER_H */