158 lines
7.9 KiB
C++
158 lines
7.9 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_CLCONCATENATELAYER_H
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#define ARM_COMPUTE_CLCONCATENATELAYER_H
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#include "arm_compute/runtime/CL/ICLOperator.h"
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/core/Types.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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// Forward declarations
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class CLCompileContext;
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class ICLTensor;
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class ICLKernel;
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class ITensorInfo;
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class Status;
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/** Basic function to execute concatenate tensors along a given axis. This function calls the following kernels:
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*
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* -# @ref CLWidthConcatenateLayerKernel (if underlying concatenation axis is 0).
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* -# @ref CLHeightConcatenateLayerKernel (if underlying concatenation axis is 1).
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* -# @ref CLDepthConcatenateLayerKernel (if underlying concatenation axis is 2).
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* -# @ref CLBatchConcatenateLayerKernel (if underlying concatenation axis is 3).
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*/
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class CLConcatenateLayer : public IFunction
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{
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public:
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/** Default constructor */
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CLConcatenateLayer();
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/** Destructor */
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~CLConcatenateLayer();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLConcatenateLayer(const CLConcatenateLayer &) = delete;
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/** Default move constructor */
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CLConcatenateLayer(CLConcatenateLayer &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLConcatenateLayer &operator=(const CLConcatenateLayer &) = delete;
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/** Default move assignment operator */
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CLConcatenateLayer &operator=(CLConcatenateLayer &&);
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/** Initialise the kernel's inputs vector and output.
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*
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* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
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* @note Preconditions can be found respectively at @ref CLWidthConcatenateLayerKernel, @ref CLHeightConcatenateLayerKernel and @ref CLDepthConcatenateLayerKernel.
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*
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* @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: All
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* @param[out] output Output tensor. Data types supported: Same as @p input.
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* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
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*/
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void configure(std::vector<const ICLTensor *> &inputs_vector, ICLTensor *output, size_t axis);
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/** Initialise the kernel's inputs vector and output.
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*
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* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
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* @note Preconditions can be found respectively at @ref CLWidthConcatenateLayerKernel, @ref CLHeightConcatenateLayerKernel and @ref CLDepthConcatenateLayerKernel.
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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] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: All
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* @param[out] output Output tensor. Data types supported: Same as @p input.
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* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
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*/
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void configure(const CLCompileContext &compile_context, std::vector<const ICLTensor *> &inputs_vector, ICLTensor *output, size_t axis);
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/** Static function to check if given info will lead to a valid configuration of @ref CLConcatenateLayer
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*
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* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
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* @note Preconditions can be found respectively at @ref CLWidthConcatenateLayerKernel, @ref CLHeightConcatenateLayerKernel and @ref CLDepthConcatenateLayerKernel.
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*
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* @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: All.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
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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<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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namespace experimental
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{
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/** Basic function to execute concatenate tensors along a given axis. This function calls the following kernels:
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*
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* -# @ref CLWidthConcatenateLayerKernel (if underlying concatenation axis is 0).
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* -# @ref CLHeightConcatenateLayerKernel (if underlying concatenation axis is 1).
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* -# @ref CLDepthConcatenateLayerKernel (if underlying concatenation axis is 2).
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* -# @ref CLBatchConcatenateLayerKernel (if underlying concatenation axis is 3).
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*/
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class CLConcatenation : public ICLOperator
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{
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public:
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/** Default constructor */
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CLConcatenation();
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/** Initialise the kernel's inputs vector and output.
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*
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* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
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* @note Preconditions can be found respectively at @ref CLWidthConcatenateLayerKernel, @ref CLHeightConcatenateLayerKernel and @ref CLDepthConcatenateLayerKernel.
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*
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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] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: All
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* @param[out] output Output tensor. Data types supported: Same as @p input.
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* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
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*/
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void configure(const CLCompileContext &compile_context, const std::vector<ITensorInfo *> &inputs_vector, ITensorInfo *output, size_t axis);
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/** Static function to check if given info will lead to a valid configuration of @ref NEConcatenateLayer
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*
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* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
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* @note Preconditions can be found respectively at @ref CLWidthConcatenateLayerKernel, @ref CLHeightConcatenateLayerKernel and @ref CLDepthConcatenateLayerKernel.
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*
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* @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: All
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
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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<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
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// Inherited methods overridden:
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void run(ITensorPack &tensors) override;
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private:
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std::vector<std::unique_ptr<ICLKernel>> _concat_kernels;
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unsigned int _num_inputs;
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unsigned int _axis;
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};
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} // namespace experimental
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CLCONCATENATELAYER_H */
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