83 lines
4.2 KiB
C++
83 lines
4.2 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CLYOLOLAYER_H
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#define ARM_COMPUTE_CLYOLOLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
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namespace arm_compute
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{
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class CLCompileContext;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to run @ref CLYOLOLayerKernel that performs a partial activation on the input
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*
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* For each box, activate only:
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* - x and y position (channel 0 and 1 of each box)
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* - objectiveness (channel 4 of each box)
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* - classes (channel 5 to (classes - 5) of each box)
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*/
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class CLYOLOLayer : public ICLSimpleFunction
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{
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public:
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/** Set the input and output tensor.
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*
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* @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
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*
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* @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
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* of the activation function. Data types supported: F16/F32.
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* @param[out] output Destination tensor. Data type supported: same as @p input
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* @param[in] act_info Activation layer parameters.
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* @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
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*/
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void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
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/** Set the input and output tensor.
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*
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* @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
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* of the activation function. Data types supported: F16/F32.
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* @param[out] output Destination tensor. Data type supported: same as @p input
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* @param[in] act_info Activation layer parameters.
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* @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
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*/
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void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
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/** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayer
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*
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* @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
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* of the activation function. Data types supported: F16/F32.
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* @param[in] output Destination tensor info. Data type supported: same as @p input
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* @param[in] act_info Activation layer information.
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* @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes);
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CLYOLOLAYER_H */
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