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Gian Marco Iodice3c2c4332017-09-28 14:10:36 +01001/*
Teresa Charlin62687422021-04-28 10:58:49 +01002 * Copyright (c) 2017-2021 Arm Limited.
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +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_NEFLATTENLAYER_H
25#define ARM_COMPUTE_NEFLATTENLAYER_H
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010026
27#include "arm_compute/core/Types.h"
Georgios Pinitase2696b12020-12-03 20:37:43 +000028#include "arm_compute/runtime/IFunction.h"
Georgios Pinitas9e1f0742021-05-17 03:06:08 +010029
30#include <memory>
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010031
32namespace arm_compute
33{
34class ITensor;
Michalis Spyrouebcebf12020-10-21 00:04:14 +010035class ITensorInfo;
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010036
Giorgio Arena368e6352018-08-20 15:06:07 +010037/** Basic function to execute flatten layer kernel. */
Georgios Pinitase2696b12020-12-03 20:37:43 +000038class NEFlattenLayer : public IFunction
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010039{
40public:
Georgios Pinitas9e1f0742021-05-17 03:06:08 +010041 NEFlattenLayer();
42 /** Destructor */
43 ~NEFlattenLayer();
44 /** Prevent instances of this class from being copied (As this class contains pointers) */
45 NEFlattenLayer(const NEFlattenLayer &) = delete;
46 /** Default move constructor */
47 NEFlattenLayer(NEFlattenLayer &&);
48 /** Prevent instances of this class from being copied (As this class contains pointers) */
49 NEFlattenLayer &operator=(const NEFlattenLayer &) = delete;
50 /** Default move assignment operator */
51 NEFlattenLayer &operator=(NEFlattenLayer &&);
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010052 /** Initialise the kernel's input and output.
53 *
Teresa Charlin62687422021-04-28 10:58:49 +010054 * Valid data layouts:
55 * - All
56 *
57 * Valid data type configurations:
58 * |src |dst |
59 * |:--------------|:--------------|
60 * |All |All |
61 *
Georgios Pinitas33843562019-12-10 13:33:18 +000062 * @param[in] input First input tensor to flatten with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: All
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010063 * @param[out] output Output tensor with shape [w*h*d, input_batches] where:
64 * w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
65 */
66 void configure(const ITensor *input, ITensor *output);
Giorgio Arena368e6352018-08-20 15:06:07 +010067
68 /** Static function to check if given info will lead to a valid configuration of @ref NEFlattenLayer
69 *
70 * @param[in] input First input tensor to flatten with at least 3 dimensions.
Georgios Pinitas33843562019-12-10 13:33:18 +000071 * The dimensions above the third will be interpreted as batches. Data types supported: All
Giorgio Arena368e6352018-08-20 15:06:07 +010072 * @param[out] output Output tensor with shape [w*h*d, input_batches] where:
73 * w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
74 *
75 * @return a status
76 */
77 static Status validate(const ITensorInfo *input, const ITensorInfo *output);
Georgios Pinitase2696b12020-12-03 20:37:43 +000078
79 // Inherited methods overridden:
80 void run() override;
81
82private:
Georgios Pinitas9e1f0742021-05-17 03:06:08 +010083 struct Impl;
84 std::unique_ptr<Impl> _impl;
Gian Marco Iodice3c2c4332017-09-28 14:10:36 +010085};
86} // namespace arm_compute
87
Michalis Spyrouf4643372019-11-29 16:17:13 +000088#endif /* ARM_COMPUTE_NEFLATTENLAYER_H */