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Giorgio Arena1f9ca1d2018-03-01 11:13:45 +00001/*
Michalis Spyrouf4643372019-11-29 16:17:13 +00002 * Copyright (c) 2018-2019 ARM Limited.
Giorgio Arena1f9ca1d2018-03-01 11:13:45 +00003 *
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_CLWINOGRADINPUTTRANSFORM_H
25#define ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H
Giorgio Arena1f9ca1d2018-03-01 11:13:45 +000026
27#include "arm_compute/core/Types.h"
28#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
29
30#include <cstdint>
31
32namespace arm_compute
33{
34class ICLTensor;
35
36/** Basic function to execute a @ref CLWinogradInputTransformKernel. */
37class CLWinogradInputTransform : public ICLSimpleFunction
38{
39public:
40 /** Set the input and output tensors.
41 *
Gian Marco Iodice876be2a2018-07-03 12:22:09 +010042 * @note Winograd input transform supports the following configurations for NCWH data layout
43 * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3),
44 * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
45 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
46 *
47 * @note Winograd input transform supports the following configurations for NHWC data layout
Gian Marco Iodiced28b7512018-07-06 12:59:28 +010048 * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
49 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
50 *
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000051 * Strides: only unit strides
52 *
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +010053 * @param[in] input The input tensor to transform. Data types supported: F16,F32
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000054 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
55 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
Giorgio Arena1f9ca1d2018-03-01 11:13:45 +000056 */
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000057 void configure(ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
Giorgio Arena1f9ca1d2018-03-01 11:13:45 +000058 /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransform.
59 *
Gian Marco Iodice876be2a2018-07-03 12:22:09 +010060 * @note Winograd input transform supports the following configurations for NCWH data layout
61 * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3),
62 * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
63 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
64 *
65 * @note Winograd input transform supports the following configurations for NHWC data layout
Gian Marco Iodiced28b7512018-07-06 12:59:28 +010066 * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
67 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
68 *
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000069 * Strides: only unit strides
70 *
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +010071 * @param[in] input The input tensor to transform. Data types supported: F16,F32
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000072 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
73 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
Giorgio Arena1f9ca1d2018-03-01 11:13:45 +000074 *
75 * @return a status
76 */
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000077 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info);
Giorgio Arena1f9ca1d2018-03-01 11:13:45 +000078};
79}
Michalis Spyrouf4643372019-11-29 16:17:13 +000080#endif /*ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H */