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Diffstat (limited to 'src/core/CL/kernels/CLYOLOLayerKernel.h')
-rw-r--r-- | src/core/CL/kernels/CLYOLOLayerKernel.h | 98 |
1 files changed, 98 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLYOLOLayerKernel.h b/src/core/CL/kernels/CLYOLOLayerKernel.h new file mode 100644 index 0000000000..5b1d56e9e5 --- /dev/null +++ b/src/core/CL/kernels/CLYOLOLayerKernel.h @@ -0,0 +1,98 @@ +/* + * 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_CLYOLOLAYERKERNEL_H +#define ARM_COMPUTE_CLYOLOLAYERKERNEL_H + +#include "src/core/CL/ICLKernel.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Interface for the YOLO layer kernel that performs partial activation. + * For each box, activate only: + * - x and y position (channel 0 and 1 of each box) + * - objectiveness (channel 4 of each box) + * - classes (channel 5 to (classes - 5) of each box) + */ +class CLYOLOLayerKernel : public ICLKernel +{ +public: + /** Default constructor */ + CLYOLOLayerKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLYOLOLayerKernel(const CLYOLOLayerKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLYOLOLayerKernel &operator=(const CLYOLOLayerKernel &) = delete; + /** Allow instances of this class to be moved */ + CLYOLOLayerKernel(CLYOLOLayerKernel &&) = default; + /** Allow instances of this class to be moved */ + CLYOLOLayerKernel &operator=(CLYOLOLayerKernel &&) = default; + /** Default destructor */ + ~CLYOLOLayerKernel() = default; + /** Set the input and output tensor. + * + * @note If the output tensor is a nullptr, 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 information. + * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) + */ + void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); + /** Set the input and output tensor. + * + * @note If the output tensor is a nullptr, the activation function will be performed in-place + * + * @param[in] compile_context The compile context to be used. + * @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 information. + * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) + */ + void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); + /** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayerKernel + * + * @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, cl::CommandQueue &queue) override; + +private: + ICLTensor *_input; + ICLTensor *_output; + bool _run_in_place; +}; +} // namespace arm_compute +#endif /*ARM_COMPUTE_CLYOLOLAYERKERNEL_H */ |