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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Copyright (c) 2017-2019 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_NEACTIVATIONLAYERKERNELEX_H__
#define __ARM_COMPUTE_NEACTIVATIONLAYERKERNELEX_H__
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/utils/misc/Traits.h"
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
#include <arm_fp16.h>
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
namespace arm_compute
{
class ITensor;
/** Interface for the activation layer kernel. */
class NEActivationLayerKernelEx : public INEKernel
{
public:
const char *name() const override { return "NEActivationLayerKernelEx"; }
/** Constructor */
NEActivationLayerKernelEx();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEActivationLayerKernelEx(const NEActivationLayerKernelEx &) = delete;
/** Default move constructor */
NEActivationLayerKernelEx(NEActivationLayerKernelEx &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEActivationLayerKernelEx &operator=(const NEActivationLayerKernelEx &) = delete;
/** Default move assignment operator */
NEActivationLayerKernelEx &operator=(NEActivationLayerKernelEx &&) = default;
/** Set the input and output tensor.
*
* @note If the output tensor is a nullptr, the activation function will be performed in-place
*
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this
* tensor will store the result
* of the activation function. Data types supported:
* QASYMM8/QSYMM16/F16/F32.
* @param[out] output Destination tensor. Data type supported: same as @p input
* @param[in] activation_info Activation layer information.
*/
void configure(ITensor *input, ITensor *output, ActivationLayerInfo activation_info);
/** Static function to check if given info will lead to a valid configuration of @ref
* NEActivationLayerKernelEx
*
* @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor
* will store the result
* of the activation function. Data types supported: QASYMM8/QSYMM16/F16/F32.
* @param[in] output Destination tensor info. Data type supported: same as @p input
* @param[in] act_info Activation layer information.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output,
const ActivationLayerInfo &act_info);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
using ActivationFunction = ActivationLayerInfo::ActivationFunction;
/** Common signature for all the specialised @ref NEActivationLayerKernelEx functions
*
* @param[in] window Region on which to execute the kernel.
*/
using ActivationFunctionExecutorPtr = void (NEActivationLayerKernelEx::*)(const Window &window);
/** Function to apply an activation function on a tensor.
*
* @param[in] window Region on which to execute the kernel
*/
template <ActivationLayerInfo::ActivationFunction F, typename T>
typename std::enable_if<arm_compute::utils::traits::is_floating_point<T>::value, void>::type
activation(const Window &window);
/** Function to apply an activation function on a tensor.
*
* @param[in] window Region on which to execute the kernel
*/
template <ActivationLayerInfo::ActivationFunction F, typename T>
typename std::enable_if<std::is_same<T, qasymm8_t>::value, void>::type
activation(const Window &window);
/** Function to apply an activation function on a tensor.
*
* @param[in] window Region on which to execute the kernel
*/
template <ActivationLayerInfo::ActivationFunction F, typename T>
typename std::enable_if<std::is_same<T, qsymm16_t>::value, void>::type
activation(const Window &window);
private:
ITensor *_input;
ITensor *_output;
ActivationFunctionExecutorPtr _func;
ActivationLayerInfo _act_info;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEACTIVATIONLAYERKERNELEX_H__ */
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