/* * Copyright (c) 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_IOPERATOR_H #define ARM_COMPUTE_IOPERATOR_H #include "arm_compute/runtime/IOperator.h" #include "arm_compute/runtime/IRuntimeContext.h" #include "arm_compute/runtime/Types.h" namespace arm_compute { namespace experimental { /** Base class for all async functions */ class IOperator { public: /** Destructor */ virtual ~IOperator() = default; /** Run the kernels contained in the function * * * @param[in] inputs Vector that contains the input tensors. * @param[in] outputs Vector that contains the output tensors. * @param[in] workspace Vector that contains the workspace tensors. * */ virtual void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) = 0; /** Prepare the function for executing * * Any one off pre-processing step required by the function is handled here * * @param[in] constants Vector that contains the constants tensors. * * @note Prepare stage might not need all the function's buffers' backing memory to be available in order to execute */ virtual void prepare(OperatorTensorMap constants) = 0; /** Return the memory requirements required by the workspace */ virtual MemoryRequirements workspace() const = 0; }; } // namespace experimental } // namespace arm_compute #endif /*ARM_COMPUTE_IOPERATOR_H */