/* * Copyright (c) 2016-2018 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_NETHRESHOLDKERNEL_H__ #define __ARM_COMPUTE_NETHRESHOLDKERNEL_H__ #include "arm_compute/core/NEON/INEKernel.h" #include "arm_compute/core/Types.h" #include namespace arm_compute { class ITensor; /** Interface for the thresholding kernel * */ class NEThresholdKernel : public INEKernel { public: const char *name() const override { return "NEThresholdKernel"; } /** Constructor * Initialize all the pointers to nullptr and parameters to zero. */ NEThresholdKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ NEThresholdKernel(const NEThresholdKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ NEThresholdKernel &operator=(const NEThresholdKernel &) = delete; /** Initialise the kernel's input, output and threshold parameters. * * @param[in] input An input tensor. Data type supported: U8 * @param[out] output The output tensor. Data type supported: U8. * @param[in] threshold Threshold. When the threhold type is RANGE, this is used as the lower threshold. * @param[in] false_value value to set when the condition is not respected. * @param[in] true_value value to set when the condition is respected. * @param[in] type Thresholding type. Either RANGE or BINARY. * @param[in] upper Upper threshold. Only used when the thresholding type is RANGE. */ void configure(const ITensor *input, ITensor *output, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; private: /** run binary thresholding on the given window */ void run_binary(const Window &window); /** run range thresholding on the given window */ void run_range(const Window &window); void (NEThresholdKernel::*_func)(const Window &window); const ITensor *_input; /**< Input */ ITensor *_output; /**< Output */ uint8_t _threshold; uint8_t _false_value; uint8_t _true_value; uint8_t _upper; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_NETHRESHOLDKERNEL_H__ */