/* * 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_EXPERIMENTAL_TYPES_H #define ARM_COMPUTE_EXPERIMENTAL_TYPES_H #include "arm_compute/core/TensorShape.h" #include #include namespace arm_compute { class ITensor; /** Memory type */ enum class TensorType { ACL_UNKNOWN = -1, ACL_SRC = 0, ACL_SRC_0 = 0, ACL_SRC_1 = 1, ACL_SRC_2 = 2, ACL_DST = 30, ACL_DST_0 = 30, ACL_DST_1 = 31, ACL_INT = 50, ACL_INT_0 = 50, ACL_INT_1 = 51, ACL_INT_2 = 52 }; using InputTensorMap = std::map; using OutputTensorMap = std::map; using OperatorTensorMap = OutputTensorMap; namespace experimental { struct MemoryInfo { MemoryInfo(TensorType type, size_t size, size_t alignment) : type(type), size(size), alignment(alignment) { } TensorType type; size_t size; size_t alignment; }; using MemoryRequirements = std::vector; } // namespace experimental } // namespace arm_compute #endif /* ARM_COMPUTE_EXPERIMENTAL_TYPES_H */