Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <ResolveType.hpp> |
| 9 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 10 | |
| 11 | #include <reference/workloads/Encoders.hpp> |
| 12 | |
| 13 | #include <vector> |
| 14 | |
| 15 | // Utility tenmplate to convert a collection of values to the correct type |
| 16 | template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 17 | std::vector<T> ConvertToDataType(const std::vector<float>& input, |
| 18 | const armnn::TensorInfo& inputTensorInfo) |
| 19 | { |
| 20 | std::vector<T> output(input.size()); |
| 21 | auto outputTensorInfo = inputTensorInfo; |
| 22 | outputTensorInfo.SetDataType(ArmnnType); |
| 23 | |
| 24 | std::unique_ptr<armnn::Encoder<float>> pOutputEncoder = armnn::MakeEncoder<float>(outputTensorInfo, output.data()); |
| 25 | armnn::Encoder<float>& rOutputEncoder = *pOutputEncoder; |
| 26 | |
| 27 | for (auto it = input.begin(); it != input.end(); ++it) |
| 28 | { |
| 29 | rOutputEncoder.Set(*it); |
| 30 | ++rOutputEncoder; |
| 31 | } |
| 32 | return output; |
| 33 | } |
| 34 | |
| 35 | // Utility tenmplate to convert a single value to the correct type |
| 36 | template <typename T> |
| 37 | T ConvertToDataType(const float& value, |
| 38 | const armnn::TensorInfo& tensorInfo) |
| 39 | { |
| 40 | std::vector<T> output(1); |
| 41 | std::unique_ptr<armnn::Encoder<float>> pEncoder = armnn::MakeEncoder<float>(tensorInfo, output.data()); |
| 42 | armnn::Encoder<float>& rEncoder = *pEncoder; |
| 43 | rEncoder.Set(value); |
| 44 | return output[0]; |
| 45 | } |