/* * 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_NEACTIVATIONLAYERKERNEL_H #define ARM_COMPUTE_NEACTIVATIONLAYERKERNEL_H #include "arm_compute/core/NEON/INEKernel.h" #include "arm_compute/core/utils/misc/Traits.h" #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC #include #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ namespace arm_compute { class ITensor; /** Interface for the activation layer kernel. */ class NEActivationLayerKernel : public INEKernel { public: const char *name() const override { return "NEActivationLayerKernel"; } /** Constructor */ NEActivationLayerKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ NEActivationLayerKernel(const NEActivationLayerKernel &) = delete; /** Default move constructor */ NEActivationLayerKernel(NEActivationLayerKernel &&) = default; /** Prevent instances of this class from being copied (As this class contains pointers) */ NEActivationLayerKernel &operator=(const NEActivationLayerKernel &) = delete; /** Default move assignment operator */ NEActivationLayerKernel &operator=(NEActivationLayerKernel &&) = 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 NEActivationLayerKernel * * @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 NEActivationLayerKernel functions * * @param[in] window Region on which to execute the kernel. */ using ActivationFunctionExecutorPtr = void (NEActivationLayerKernel::*)(const Window &window); /** Function to apply an activation function on a tensor. * * @param[in] window Region on which to execute the kernel */ template typename std::enable_if::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 typename std::enable_if::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 typename std::enable_if::value, void>::type activation(const Window &window); private: ITensor *_input; ITensor *_output; ActivationFunctionExecutorPtr _func; ActivationLayerInfo _act_info; }; } // namespace arm_compute #endif /*ARM_COMPUTE_NEACTIVATIONLAYERKERNEL_H */