| /* |
| * Copyright (c) 2017-2018 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_CLDEQUANTIZATIONLAYERKERNEL_H__ |
| #define __ARM_COMPUTE_CLDEQUANTIZATIONLAYERKERNEL_H__ |
| |
| #include "arm_compute/core/CL/ICLKernel.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Interface for the dequantization layer kernel. |
| * |
| * @note The implementation supports only 3D input tensors. |
| * |
| */ |
| class CLDequantizationLayerKernel : public ICLKernel |
| { |
| public: |
| /** Default constructor */ |
| CLDequantizationLayerKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLDequantizationLayerKernel(const CLDequantizationLayerKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLDequantizationLayerKernel &operator=(const CLDequantizationLayerKernel &) = delete; |
| /** Default Move Constructor. */ |
| CLDequantizationLayerKernel(CLDequantizationLayerKernel &&) = default; |
| /** Default move assignment operator */ |
| CLDequantizationLayerKernel &operator=(CLDequantizationLayerKernel &&) = default; |
| /** Default destructor */ |
| ~CLDequantizationLayerKernel() = default; |
| /** Set the input, output, min and max. |
| * |
| * @param[in] input Source tensor. Data types supported: U8. |
| * @param[out] output Destination tensor. Data types supported: F32. |
| * @param[in] min_max Pointer to the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. |
| * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. |
| */ |
| void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *min_max); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDequantizationLayerKernel |
| * |
| * @param[in] input Input tensor info. Data types supported: U8. |
| * @param[in] output Output tensor info. Data types supported: F32. |
| * @param[in] min_max Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. |
| * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, cl::CommandQueue &queue) override; |
| |
| private: |
| const ICLTensor *_input; |
| ICLTensor *_output; |
| const ICLTensor *_min_max; |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_CLDEQUANTIZATIONLAYERKERNEL_H__ */ |