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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h | 106 |
1 files changed, 0 insertions, 106 deletions
diff --git a/arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h b/arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h deleted file mode 100644 index 0fd3f8ce67..0000000000 --- a/arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h +++ /dev/null @@ -1,106 +0,0 @@ -/* - * Copyright (c) 2018-2020 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_NEYOLOLAYERKERNEL_H -#define ARM_COMPUTE_NEYOLOLAYERKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/** Interface for the YOLO layer kernel. */ -class NEYOLOLayerKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEYOLOLayerKernel"; - } - /** Constructor */ - NEYOLOLayerKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEYOLOLayerKernel(const NEYOLOLayerKernel &) = delete; - /** Default move constructor */ - NEYOLOLayerKernel(NEYOLOLayerKernel &&) = default; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEYOLOLayerKernel &operator=(const NEYOLOLayerKernel &) = delete; - /** Default move assignment operator */ - NEYOLOLayerKernel &operator=(NEYOLOLayerKernel &&) = default; - /** Default destructor */ - ~NEYOLOLayerKernel() = default; - /** Set the input and output tensor. - * - * @note If the output tensor is a nullptr or is equal to the input, 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: F16/F32. - * @param[out] output Destination tensor. Data type supported: same as @p input - * @param[in] act_info Activation layer parameters. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - */ - void configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); - /** Static function to check if given info will lead to a valid configuration of @ref NEYOLOLayerKernel - * - * @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: F16/F32. - * @param[in] output Destination tensor info. Data type supported: same as @p input - * @param[in] act_info Activation layer information. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - /** Function to run YOLO layer - * - * @param[in] window Region on which to execute the kernel. - */ - template <typename T, int S> - void yolo_layer_nchw(const Window &window); - /** Function to run YOLO layer on tensors with NHWC format - * - * @param[in] window Region on which to execute the kernel. - */ - template <typename T> - void yolo_layer_nhwc(const Window &window); - /** Common signature for all the yolo layer functions - * - * @param[in] window Region on which to execute the kernel. - */ - using YOLOFunctionPtr = void (NEYOLOLayerKernel::*)(const Window &window); - -private: - YOLOFunctionPtr _func; - ITensor *_input; - ITensor *_output; - ActivationLayerInfo _act_info; - int32_t _num_classes; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_NEYOLOLAYERKERNEL_H */ |