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Michele Di Giorgio5b48ad72019-06-04 18:43:35 +01001/*
Teresa Charlin62687422021-04-28 10:58:49 +01002 * Copyright (c) 2019-2021 Arm Limited.
Michele Di Giorgio5b48ad72019-06-04 18:43:35 +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_CLMEANSTDDEVNORMALIZATIONLAYER_H
25#define ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONLAYER_H
Michele Di Giorgio5b48ad72019-06-04 18:43:35 +010026
27#include "arm_compute/core/Types.h"
28#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
29
30namespace arm_compute
31{
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010032class CLCompileContext;
Michele Di Giorgio5b48ad72019-06-04 18:43:35 +010033class ICLTensor;
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010034class ITensorInfo;
Michele Di Giorgio5b48ad72019-06-04 18:43:35 +010035
36/** Basic function to execute mean and standard deviation normalization by calling @ref CLMeanStdDevNormalizationKernel */
37class CLMeanStdDevNormalizationLayer : public ICLSimpleFunction
38{
39public:
40 /** Initialise the function's input and outputs.
41 *
Teresa Charlin62687422021-04-28 10:58:49 +010042 * Valid data layouts:
43 * - NHWC
44 * - NCHW
45 *
46 * Valid data type configurations:
47 * |src |dst |
48 * |:--------|:---------|
49 * |F32 |F32 |
50 * |F16 |F16 |
51 *
Michele Di Giorgio5b48ad72019-06-04 18:43:35 +010052 * @note If the output tensor is a nullptr, the normalization will be performed in-place.
53 *
54 * @param[in, out] input Input tensor with 2 dimensions. Data types supported: F16/F32.
55 * @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
56 * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
57 */
58 void configure(ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f);
Manuel Bottini2b84be52020-04-08 10:15:51 +010059 /** Initialise the function's input and outputs.
60 *
61 * @note If the output tensor is a nullptr, the normalization will be performed in-place.
62 *
63 * @param[in] compile_context The compile context to be used.
64 * @param[in, out] input Input tensor with 2 dimensions. Data types supported: F16/F32.
65 * @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
66 * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
67 */
Felix Thomasmathibalanafd38f02023-09-27 17:46:17 +010068 void configure(const CLCompileContext &compile_context,
69 ICLTensor *input,
70 ICLTensor *output = nullptr,
71 float epsilon = 1e-8f);
Michele Di Giorgio5b48ad72019-06-04 18:43:35 +010072 /** Static function to check if given info will lead to a valid configuration of @ref CLMeanStdDevNormalizationKernel
73 *
74 * @param[in] input Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr,
75 * this tensor will store the result of the normalization. Data types supported: F16/F32.
76 * @param[in] output (Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as @p input
77 * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
78 *
79 * @return a status
80 */
81 static Status validate(const ITensorInfo *input, const ITensorInfo *output = nullptr, float epsilon = 1e-8f);
82};
83} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +000084#endif /*ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONLAYER_H */