| /* |
| * Copyright (c) 2017-2020 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_NEMINMAXLAYERKERNEL_H |
| #define ARM_COMPUTE_NEMINMAXLAYERKERNEL_H |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| #include "support/Mutex.h" |
| |
| #include <cstdint> |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Interface for the kernel to perform min max search on a 3D tensor. */ |
| class NEMinMaxLayerKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEMinMaxLayerKernel"; |
| } |
| /** Default constructor */ |
| NEMinMaxLayerKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEMinMaxLayerKernel(const NEMinMaxLayerKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEMinMaxLayerKernel &operator=(const NEMinMaxLayerKernel &) = delete; |
| /** Prevent instances of this class from being moved (As this class contains non movable objects) */ |
| NEMinMaxLayerKernel(NEMinMaxLayerKernel &&) = delete; |
| /** Prevent instances of this class from being moved (As this class contains non movable objects) */ |
| NEMinMaxLayerKernel &operator=(NEMinMaxLayerKernel &&) = delete; |
| /** Default destructor */ |
| ~NEMinMaxLayerKernel() = default; |
| |
| /** Initialise the kernel's input and outputs. |
| * |
| * @note output[0] = minimum |
| * @note output[1] = maximum |
| * |
| * @param[in] input Input tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data type supported: F32. |
| * @param[out] output Output 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 types supported: F32 |
| */ |
| void configure(const ITensor *input, ITensor *output); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLMinMaxLayerKernel |
| * |
| * @param[in] input Input tensor info. Data types supported: F32. |
| * @param[in] output Output tensor info with shape [2, batches, ...] which stores the minimum and maximum values for each 3D input tensor. |
| * The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output); |
| /** Resets global minimum and maximum. */ |
| void reset(); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| void update_min_max(float *out_ptr, float min, float max); |
| const ITensor *_input; |
| ITensor *_output; |
| arm_compute::Mutex _mtx; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_NEMINMAXLAYERKERNEL_H */ |