98 lines
5.0 KiB
C++
98 lines
5.0 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_NEINSTANCENORMALIZATIONLAYER_H
|
|
#define ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H
|
|
|
|
#include "arm_compute/runtime/IFunction.h"
|
|
#include "arm_compute/runtime/IMemoryManager.h"
|
|
#include "arm_compute/runtime/MemoryGroup.h"
|
|
#include "arm_compute/runtime/NEON/functions/NEPermute.h"
|
|
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
|
|
#include "arm_compute/runtime/Tensor.h"
|
|
|
|
#include <memory>
|
|
|
|
namespace arm_compute
|
|
{
|
|
class ITensor;
|
|
class NEInstanceNormalizationLayerKernel;
|
|
|
|
/** Basic function to perform a Instance normalization.
|
|
*
|
|
* This function runs the following kernels:
|
|
* -# @ref NEInstanceNormalizationLayerKernel
|
|
*/
|
|
class NEInstanceNormalizationLayer : public IFunction
|
|
{
|
|
public:
|
|
/** Constructor */
|
|
NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
|
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
|
NEInstanceNormalizationLayer(const NEInstanceNormalizationLayer &) = delete;
|
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
|
NEInstanceNormalizationLayer &operator=(const NEInstanceNormalizationLayer &) = delete;
|
|
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
|
|
NEInstanceNormalizationLayer(NEInstanceNormalizationLayer &&) = delete;
|
|
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
|
|
NEInstanceNormalizationLayer &operator=(NEInstanceNormalizationLayer &&) = delete;
|
|
/** Default destructor */
|
|
~NEInstanceNormalizationLayer();
|
|
/** Set the input and output tensors.
|
|
*
|
|
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
|
|
* Data types supported: F16/F32. Data layout supported: NHWC, NCHW
|
|
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
|
|
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
|
|
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
|
|
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
|
|
*/
|
|
void configure(ITensor *input, ITensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f);
|
|
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEInstanceNormalizationLayer.
|
|
*
|
|
* @param[in] input Source tensor info. Data types supported: F16/F32. Data layout supported: NHWC, NCHW
|
|
* @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
|
|
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
|
|
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
|
|
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f);
|
|
|
|
// Inherited methods overridden:
|
|
void run() override;
|
|
|
|
private:
|
|
MemoryGroup _memory_group;
|
|
std::unique_ptr<NEInstanceNormalizationLayerKernel> _normalization_kernel;
|
|
bool _is_nchw;
|
|
NEPermute _permute_input;
|
|
NEPermute _permute_output;
|
|
Tensor _permuted_input;
|
|
Tensor _permuted_output;
|
|
};
|
|
}
|
|
#endif /* ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H */
|