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/*
* Copyright (c) 2019-2021, 2024 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLMEANSTDDEVNORMALIZATIONLAYER_H
#define ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLMEANSTDDEVNORMALIZATIONLAYER_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
namespace arm_compute
{
class CLCompileContext;
class ICLTensor;
class ITensorInfo;
/** Basic function to execute mean and standard deviation normalization by calling CLMeanStdDevNormalizationKernel */
class CLMeanStdDevNormalizationLayer : public ICLSimpleFunction
{
public:
/** Initialise the function's input and outputs.
*
* Valid data layouts:
* - NHWC
* - NCHW
*
* Valid data type configurations:
* |src |dst |
* |:--------|:---------|
* |F32 |F32 |
* |F16 |F16 |
*
* @note If the output tensor is a nullptr, the normalization will be performed in-place.
*
* @param[in, out] input Input tensor with 2 dimensions. Data types supported: F16/F32.
* @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
* @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
*/
void configure(ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f);
/** Initialise the function's input and outputs.
*
* @note If the output tensor is a nullptr, the normalization will be performed in-place.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input Input tensor with 2 dimensions. Data types supported: F16/F32.
* @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
* @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
*/
void configure(const CLCompileContext &compile_context,
ICLTensor *input,
ICLTensor *output = nullptr,
float epsilon = 1e-8f);
/** Static function to check if given info will lead to a valid configuration of CLMeanStdDevNormalizationKernel
*
* @param[in] input Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr,
* this tensor will store the result of the normalization. Data types supported: F16/F32.
* @param[in] output (Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as @p input
* @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output = nullptr, float epsilon = 1e-8f);
};
} // namespace arm_compute
#endif // ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLMEANSTDDEVNORMALIZATIONLAYER_H
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