104 lines
4.5 KiB
C++
104 lines
4.5 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_CLSTACKLAYER_H
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#define ARM_COMPUTE_CLSTACKLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/IFunction.h"
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#include <memory>
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#include <vector>
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namespace arm_compute
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{
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class CLCompileContext;
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class CLStackLayerKernel;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to stack tensors along an axis. This function calls the following kernel:
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*
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* -# @ref CLStackLayerKernel
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*
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*/
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class CLStackLayer : public IFunction
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{
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public:
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/** Default constructor */
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CLStackLayer();
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/** Prevent instances of this class from being copied */
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CLStackLayer(const CLStackLayer &) = delete;
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/** Prevent instances of this class from being copied */
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CLStackLayer &operator=(const CLStackLayer &) = delete;
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/** Prevent instances of this class to be moved */
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CLStackLayer(CLStackLayer &&) = delete;
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/** Prevent instances of this class to be moved */
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CLStackLayer &operator=(CLStackLayer &&) = delete;
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/** Default destructor */
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~CLStackLayer();
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/** Initialise the kernel's inputs vector and output.
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*
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* @note Supported input tensor rank: up to 4
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*
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* @param[in] input The vectors containing all the tensors with the same shape to stack. Data types supported: All.
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* @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions.
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* Negative values wrap around
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* @param[out] output Output tensor. Data types supported: Same as @p input.
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*/
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void configure(const std::vector<ICLTensor *> &input, int axis, ICLTensor *output);
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/** Initialise the kernel's inputs vector and output.
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*
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* @note Supported input tensor rank: up to 4
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input The vectors containing all the tensors with the same shape to stack. Data types supported: All.
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* @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions.
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* Negative values wrap around
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* @param[out] output Output tensor. Data types supported: Same as @p input.
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*/
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void configure(const CLCompileContext &compile_context, const std::vector<ICLTensor *> &input, int axis, ICLTensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref CLStackLayerKernel
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*
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* @note Supported input tensor rank: up to 4
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*
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* @param[in] input The vectors containing all the tensors info with the same shape to stack. Data types supported: All.
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* @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions.
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* Negative values wrap around
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output);
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// Inherited methods overridden:
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void run() override;
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private:
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std::vector<ICLTensor *> _input;
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std::vector<std::unique_ptr<CLStackLayerKernel>> _stack_kernels;
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unsigned int _num_inputs;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CLSTACKLAYER_H */
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