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Gian Marco Iodiced2fab732018-03-02 11:18:12 +00001/*
2 * Copyright (c) 2018 ARM Limited.
3 *
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_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__
25#define __ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__
26
27#include "arm_compute/core/CL/ICLKernel.h"
28
29namespace arm_compute
30{
31class ICLTensor;
32
33/** Interface for the Winograd output transform kernel. */
34class CLWinogradOutputTransformKernel : public ICLKernel
35{
36public:
37 /** Default constructor */
38 CLWinogradOutputTransformKernel();
39 /** Prevent instances of this class from being copied (As this class contains pointers) */
40 CLWinogradOutputTransformKernel(const CLWinogradOutputTransformKernel &) = delete;
41 /** Prevent instances of this class from being copied (As this class contains pointers) */
42 CLWinogradOutputTransformKernel &operator=(const CLWinogradOutputTransformKernel &) = delete;
43 /** Allow instances of this class to be moved */
44 CLWinogradOutputTransformKernel(CLWinogradOutputTransformKernel &&) = default;
45 /** Allow instances of this class to be moved */
46 CLWinogradOutputTransformKernel &operator=(CLWinogradOutputTransformKernel &&) = default;
47 /** Default destructor */
48 ~CLWinogradOutputTransformKernel() = default;
49 /** Set the input and output tensor.
50 *
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000051 * @note Winograd output transform supports the following configurations:
52 * Output tile size: 2x2
53 * Kernel size: 3x3
54 * Strides: only unit strides
55 *
56 * @param[in] input Source tensor with shape [C, N, 16, batches]. Data types supported: F32.
57 * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
58 * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input
59 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
Gian Marco Iodiced2fab732018-03-02 11:18:12 +000060 */
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000061 void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info);
Gian Marco Iodiced2fab732018-03-02 11:18:12 +000062 /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel
63 *
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000064 * @note Winograd output transform supports the following configurations:
65 * Output tile size: 2x2
66 * Kernel size: 3x3
67 * Strides: only unit strides
68 *
69 * @param[in] input Source tensor with shape [C, N, 16, batches]. Data types supported: F32.
70 * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
71 * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input
72 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
Gian Marco Iodiced2fab732018-03-02 11:18:12 +000073 *
74 * @return a status
75 */
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000076 static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const WinogradInfo &winograd_info);
Gian Marco Iodiced2fab732018-03-02 11:18:12 +000077
78 // Inherited methods overridden:
79 void run(const Window &window, cl::CommandQueue &queue) override;
80
81private:
Gian Marco Iodice247f52c2018-03-22 11:24:56 +000082 using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>;
83
Gian Marco Iodiced2fab732018-03-02 11:18:12 +000084 const ICLTensor *_input;
85 const ICLTensor *_bias;
86 ICLTensor *_output;
87};
88} // namespace arm_compute
89#endif /*__ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__ */