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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-09-20 14:42:30 +0100 |
|---|---|---|
| committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-09-20 14:42:30 +0100 |
| commit | 99fa57cefe79401894027c41c2dfa985672d4403 (patch) | |
| tree | 2d95ef4e848afbfad93ce6a774c6bb472df5348a /README.md | |
| parent | 0aa080db52c60be959111df92233321eca258429 (diff) | |
| download | armnn-99fa57cefe79401894027c41c2dfa985672d4403.tar.gz | |
Update documentation to correct C++ version: C++ 17
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Change-Id: I3aab361023d6330dd1c28d30dee4a81999ad1a53
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -24,7 +24,7 @@ Arm NN outperforms generic ML libraries due to **Arm architecture-specific optim utilizes the [Ethos-N NPU Driver](https://github.com/ARM-software/ethos-n-driver-stack). For Arm Cortex-M acceleration, please see [CMSIS-NN](https://github.com/ARM-software/CMSIS_5). -Arm NN is written using portable **C++14** and built using [CMake](https://cmake.org/) - enabling builds for a wide +Arm NN is written using portable **C++17** and built using [CMake](https://cmake.org/) - enabling builds for a wide variety of target platforms, from a wide variety of host environments. **Python** developers can interface with Arm NN through the use of our **Arm NN TF Lite Delegate**. |