/* * 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_CLQUANTIZATIONLAYER_H__ #define __ARM_COMPUTE_CLQUANTIZATIONLAYER_H__ #include "arm_compute/runtime/CL/ICLSimpleFunction.h" namespace arm_compute { class ICLTensor; /** Basic function to simulate a quantization layer. This function calls the following CL kernels: * * @note The implementation supports only 3D input tensors. * * -# @ref CLQuantizationLayerKernel * */ class CLQuantizationLayer : public ICLSimpleFunction { public: /** Set the input and output tensors. * * @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F16/32. * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM16. * * @note Output auto initialization is not supported by this function */ void configure(const ICLTensor *input, ICLTensor *output); /** Static function to check if given info will lead to a valid configuration of @ref CLQuantizationLayer * * @param[in] input Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F16/32. * @param[in] output Output tensor info. Data types supported: QASYMM8/QASYMM16. * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); }; } //namespace arm_compute #endif /* __ARM_COMPUTE_CLQUANTIZATIONLAYER_H__ */