Michalis Spyrou | bcd2352 | 2020-05-21 15:02:36 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2020 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef ARM_COMPUTE_EXPERIMENTAL_TYPES_H |
| 25 | #define ARM_COMPUTE_EXPERIMENTAL_TYPES_H |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | |
| 29 | #include <map> |
| 30 | #include <vector> |
| 31 | |
| 32 | namespace arm_compute |
| 33 | { |
| 34 | class ITensor; |
| 35 | |
| 36 | /** Memory type */ |
| 37 | enum class TensorType |
| 38 | { |
Georgios Pinitas | 1fd2c80 | 2020-06-16 17:44:46 +0100 | [diff] [blame^] | 39 | ACL_UNKNOWN = -1, |
| 40 | ACL_SRC = 0, |
| 41 | ACL_SRC_0 = 0, |
| 42 | ACL_SRC_1 = 1, |
| 43 | ACL_SRC_2 = 2, |
| 44 | ACL_DST = 30, |
| 45 | ACL_DST_0 = 30, |
| 46 | ACL_DST_1 = 31, |
| 47 | ACL_INT = 50, |
| 48 | ACL_INT_0 = 50, |
| 49 | ACL_INT_1 = 51, |
| 50 | ACL_INT_2 = 52 |
Michalis Spyrou | bcd2352 | 2020-05-21 15:02:36 +0100 | [diff] [blame] | 51 | }; |
Georgios Pinitas | 1fd2c80 | 2020-06-16 17:44:46 +0100 | [diff] [blame^] | 52 | |
| 53 | /** Input tensor aggregate */ |
| 54 | struct InputTensor |
| 55 | { |
| 56 | InputTensor(TensorType type, const ITensor *tensor) |
| 57 | : type(type), tensor(tensor) |
| 58 | { |
| 59 | } |
| 60 | |
| 61 | TensorType type{ TensorType::ACL_UNKNOWN }; |
| 62 | const ITensor *tensor{ nullptr }; |
| 63 | }; |
| 64 | /** Output tensor aggregate */ |
| 65 | struct OutputTensor |
| 66 | { |
| 67 | OutputTensor(TensorType type, ITensor *tensor) |
| 68 | : type(type), tensor(tensor) |
| 69 | { |
| 70 | } |
| 71 | |
| 72 | TensorType type{ TensorType::ACL_UNKNOWN }; |
| 73 | ITensor *tensor{ nullptr }; |
| 74 | }; |
| 75 | using OperatorTensor = OutputTensor; |
Michalis Spyrou | bcd2352 | 2020-05-21 15:02:36 +0100 | [diff] [blame] | 76 | |
| 77 | namespace experimental |
| 78 | { |
| 79 | struct MemoryInfo |
| 80 | { |
| 81 | MemoryInfo(TensorType type, size_t size, size_t alignment) |
| 82 | : type(type), size(size), alignment(alignment) |
| 83 | { |
| 84 | } |
| 85 | TensorType type; |
| 86 | size_t size; |
| 87 | size_t alignment; |
| 88 | }; |
| 89 | |
| 90 | using MemoryRequirements = std::vector<MemoryInfo>; |
| 91 | } // namespace experimental |
| 92 | } // namespace arm_compute |
| 93 | #endif /* ARM_COMPUTE_EXPERIMENTAL_TYPES_H */ |