92 lines
4.2 KiB
C++
92 lines
4.2 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NEL2NORMALIZELAYER_H
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#define ARM_COMPUTE_NEL2NORMALIZELAYER_H
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/IMemoryManager.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
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#include "arm_compute/runtime/Tensor.h"
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#include <memory>
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namespace arm_compute
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{
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class ITensor;
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class NEL2NormalizeLayerKernel;
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/** Basic function to perform a L2 normalization on a given axis.
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*
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* This function runs the following kernels:
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* -# @ref NEReductionOperation
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* -# @ref NEL2NormalizeLayerKernel
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*/
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class NEL2NormalizeLayer : public IFunction
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{
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public:
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/** Constructor */
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NEL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEL2NormalizeLayer(const NEL2NormalizeLayer &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEL2NormalizeLayer &operator=(const NEL2NormalizeLayer &) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NEL2NormalizeLayer(NEL2NormalizeLayer &&) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NEL2NormalizeLayer &operator=(NEL2NormalizeLayer &&) = delete;
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/** Default destructor */
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~NEL2NormalizeLayer();
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/** Set the input and output tensors.
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*
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* @param[in, out] input Source tensor. Data types supported: F16/F32. (Written to only for border_size != 0)
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* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
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* @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
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* @param[in] epsilon (Optional) Lower bound value for the normalization.
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*/
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void configure(ITensor *input, ITensor *output, int axis, float epsilon = 1e-6f);
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/** Static function to check if given info will lead to a valid configuration of @ref NEL2NormalizeLayer.
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*
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* @param[in] input Source tensor info. Data types supported: F16/F32. (Written to only for border_size != 0)
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* @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
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* @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
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* @param[in] epsilon (Optional) Lower bound value for the normalization.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output, int axis, float epsilon = 1e-6f);
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// Inherited methods overridden:
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void run() override;
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private:
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MemoryGroup _memory_group;
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NEReductionOperation _reduce_func;
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std::unique_ptr<NEL2NormalizeLayerKernel> _normalize_kernel;
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Tensor _sumsq;
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};
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}
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#endif /* ARM_COMPUTE_NEL2NORMALIZELAYER_H */
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