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/*
* Copyright (c) 2017-2024 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_SRC_CPU_KERNELS_CPUSOFTMAXKERNEL_H
#define ACL_SRC_CPU_KERNELS_CPUSOFTMAXKERNEL_H
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** Interface for softmax computation */
class CpuSoftmaxKernel : public ICpuKernel<CpuSoftmaxKernel>
{
private:
using SoftmaxKernelPtr =
std::add_pointer<void(const ITensor *, void *const, ITensor *, float, int, const Window &)>::type;
public:
CpuSoftmaxKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuSoftmaxKernel);
/** Set the input and output tensors.
*
* @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] dst Destination tensor info. Data types supported: same as @p input.
* @param[in] beta A scaling factor for the exponent.
* @param[in] is_log True if the operation is log-softmax.
* @param[in] axis The axis along which to perform the softmax operation.
*
* @param tmp Auxiliary tensor info. Must be type F32 and same shape as the input.
*/
void configure(const ITensorInfo *src, ITensorInfo *dst, float beta, bool is_log, int axis, ITensorInfo *tmp);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuSoftmaxKernel::configure()
*
* @return a status
*/
static Status
validate(const ITensorInfo *src, const ITensorInfo *dst, float beta, int axis, bool is_log, const ITensorInfo *tmp);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
struct SoftmaxKernel
{
const char *name;
const SoftmaxKernelDataTypeISASelectorDataPtr is_selected;
SoftmaxKernelPtr ukernel;
};
static const std::vector<SoftmaxKernel> &get_available_kernels();
private:
float _beta{1.0f};
SoftmaxKernelPtr _run_method{nullptr};
std::string _name{};
int _axis{};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif // ACL_SRC_CPU_KERNELS_CPUSOFTMAXKERNEL_H
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