72 lines
3.8 KiB
C++
72 lines
3.8 KiB
C++
/*
|
|
* Copyright (c) 2019-2020 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 ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONLAYER_H
|
|
#define ARM_COMPUTE_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 @ref CLMeanStdDevNormalizationKernel */
|
|
class CLMeanStdDevNormalizationLayer : public ICLSimpleFunction
|
|
{
|
|
public:
|
|
/** Initialise the function's input and outputs.
|
|
*
|
|
* @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 @ref 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 /*ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONLAYER_H */
|