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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_CPUACTIVATIONKERNEL_H
#define ACL_SRC_CPU_KERNELS_CPUACTIVATIONKERNEL_H
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "src/core/common/Macros.h"
#include "src/core/helpers/LUTManager.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** Interface for the activation kernel */
class CpuActivationKernel : public ICpuKernel<CpuActivationKernel>
{
private:
using ActivationKernelPtr =
std::add_pointer<void(const ITensor *, ITensor *, const ActivationLayerInfo &, const Window &)>::type;
public:
CpuActivationKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuActivationKernel);
/** Configure kernel for a given list of arguments
*
* @note If the output tensor is a nullptr, the activation function will be performed in-place
*
* @param[in, out] src Source tensor info. In case of @p dst tensor = nullptr, this tensor will store the result
* of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
* @param[out] dst Destination tensor info. Data type supported: same as @p src
* @param[in] activation_info Activation layer information.
*/
void configure(const ITensorInfo *src, ITensorInfo *dst, ActivationLayerInfo activation_info);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuActivationKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info);
/** Return minimum workload size of the relevant kernel
*
* @param[in] platform The CPU platform used to create the context.
* @param[in] thread_count Number of threads in the execution.
*
* @return[out] small_network_mws Minimum workload size for requsted configuration.
*/
size_t get_mws(const CPUInfo &platform, size_t thread_count) const override;
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
/** Get the preferred dimension in which the scheduler splits the work into multiple jobs.
*
* @return The split dimension hint.
*/
size_t get_split_dimension_hint() const
{
return _split_dimension;
}
struct ActivationKernel
{
const char *name;
const ActivationDataTypeISASelectorDataPtr is_selected;
ActivationKernelPtr ukernel;
};
static const std::vector<ActivationKernel> &get_available_kernels();
private:
ActivationLayerInfo _act_info{};
ActivationKernelPtr _run_method{nullptr};
size_t _split_dimension{Window::DimY};
std::string _name{};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif // ACL_SRC_CPU_KERNELS_CPUACTIVATIONKERNEL_H
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