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/*
* Copyright (c) 2017-2021 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_NESOFTMAXLAYER_H
#define ARM_COMPUTE_NESOFTMAXLAYER_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include <memory>
namespace arm_compute
{
class ITensor;
class ITensorInfo;
/** Basic function to compute a SoftmaxLayer and a Log SoftmaxLayer. */
template <bool IS_LOG = false>
class NESoftmaxLayerGeneric : public IFunction
{
public:
/** Constructor */
NESoftmaxLayerGeneric(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NESoftmaxLayerGeneric(const NESoftmaxLayerGeneric &) = delete;
/** Default move constructor */
NESoftmaxLayerGeneric(NESoftmaxLayerGeneric &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NESoftmaxLayerGeneric &operator=(const NESoftmaxLayerGeneric &) = delete;
/** Default move assignment operator */
NESoftmaxLayerGeneric &operator=(NESoftmaxLayerGeneric &&);
/** Default destructor */
~NESoftmaxLayerGeneric();
/** Set the input and output tensors.
*
* @param[in,out] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. If the width is not a
* multiple of the internal processing block size, @ref NEFillBorder replicates the
* last value of each row to the nearest multiple.
* @param[out] output Destination tensor. Data types supported: same as @p input.
* @param[in] beta (Optional) A scaling factor for the exponent.
* @param[in] axis (Optional) The dimension in which to apply the function. E.g. for input of shape 4x5x6 and
* axis=1, softmax will be applied to 4x6=24 vectors of size 5. Defaults to 0
*/
void configure(ITensor *input, ITensor *output, float beta = 1.0f, int32_t axis = 0);
/** Static function to check if given info will lead to a valid configuration of @ref NESoftmaxLayer
*
* @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] output Destination tensor info. Data types supported: same as @p input
* @param[in] beta (Optional) A scaling factor for the exponent.
* @param[in] axis (Optional) The dimension in which to apply the function. E.g. for input of shape 4x5x6 and
* axis=1, softmax will be applied to 4x6=24 vectors of size 5. Defaults to 0
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta = 1.0f, int32_t axis = 0);
// Inherited methods overridden:
void run() override;
private:
MemoryGroup _memory_group;
struct Impl;
std::unique_ptr<Impl> _impl;
};
using NESoftmaxLayer = NESoftmaxLayerGeneric<false>;
using NELogSoftmaxLayer = NESoftmaxLayerGeneric<true>;
} // namespace arm_compute
#endif /* ARM_COMPUTE_NESOFTMAXLAYER_H */
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