Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include "Encoders.hpp" |
| 9 | #include "Decoders.hpp" |
| 10 | |
| 11 | #include <armnn/backends/WorkloadData.hpp> |
| 12 | |
| 13 | namespace armnn |
| 14 | { |
| 15 | |
| 16 | class BatchMatMul { |
| 17 | public: |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 18 | BatchMatMul(const BatchMatMulDescriptor& params, |
| 19 | const TensorInfo& inputXInfo, |
| 20 | const TensorInfo& inputYInfo, |
| 21 | const TensorInfo& outputInfo, |
| 22 | Decoder<float>& inputXDecoder, |
| 23 | Decoder<float>& inputYDecoder, |
| 24 | Encoder<float>& outputEncoder); |
| 25 | |
| 26 | private: |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 27 | enum DataSlot |
| 28 | { |
| 29 | InputX = 0, |
| 30 | InputY = 1, |
| 31 | Output = 2 |
| 32 | }; |
| 33 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 34 | const BatchMatMulDescriptor& params; |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 35 | TensorInfo inputXInfo; |
| 36 | TensorInfo inputYInfo; |
| 37 | TensorInfo outputInfo; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 38 | Decoder<float>& inputXDecoder; |
| 39 | Decoder<float>& inputYDecoder; |
| 40 | Encoder<float>& outputEncoder; |
| 41 | |
| 42 | std::vector<float> inputXData; |
| 43 | std::vector<float> inputYData; |
| 44 | |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 45 | void ApplyBatchMatMul(); |
| 46 | |
| 47 | void ApplyParams(); |
| 48 | |
| 49 | void Transpose(DataSlot type); |
| 50 | |
| 51 | void Adjoint(DataSlot type); |
| 52 | |
| 53 | void RecurseTensor(const TensorInfo& tensorInfo, |
| 54 | std::function<void(const std::vector<unsigned int>&)> const& operation, |
| 55 | std::vector<unsigned int>& curIdx, |
| 56 | unsigned int curDim); |
| 57 | |
| 58 | // Adjusts it for when input tensors are of unequal rank |
| 59 | void AdjustAxesToMulForUnequalRanks(std::pair<unsigned int, unsigned int>& axesXToMul, |
| 60 | std::pair<unsigned int, unsigned int>& axesYToMul); |
| 61 | |
| 62 | float GetValueAt(DataSlot type, std::vector<unsigned int> idx, const std::vector<float>& customData = {}); |
| 63 | |
| 64 | void SetValueAt(float value, DataSlot type, std::vector<unsigned int> idx); |
| 65 | |
| 66 | // Takes into account broadcasting |
| 67 | void AdjustToSafeIdx(DataSlot type, std::vector<unsigned int>& idx); |
| 68 | |
| 69 | unsigned int CalcFlatIdx(DataSlot type, const std::vector<unsigned int>& idx); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 70 | }; |
| 71 | |
| 72 | } // namespace armnn |