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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-02-09 16:26:42 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-02-09 16:38:35 +0000 |
| commit | aa4f5833bea14bd92b4429c4659d205a81167486 (patch) | |
| tree | 7bb0161df3561d209f1ddacdb82907c0df2712e8 /README.md | |
| parent | 3e4ca882ef070cf1fb2e896d5c3174c27a790269 (diff) | |
| download | armnn-aa4f5833bea14bd92b4429c4659d205a81167486.tar.gz | |
Document updates for 23.02
* Remove the PerformanceChart. png file which is no more used in the Readme
* Update release version for pre-built binaries in readme
* Remove link to outdated guide in readme
* Update example release branch in Android NDK md file
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8f5cac684f9fa1c9ec5d2ba2286dea5dd47136ca
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 19 |
1 files changed, 9 insertions, 10 deletions
@@ -42,8 +42,7 @@ The fastest way to integrate Arm NN into an **Android app** is by using our **Ar Android Studio**. The AAR file nicely packages up the Arm NN TF Lite Delegate, Arm NN itself and ACL; ready to be integrated into your Android ML application. Using the AAR allows you to benefit from the **vast operator support** of the Arm NN TF Lite Delegate. We held an **[Arm AI Tech Talk](https://www.youtube.com/watch?v=Zu4v0nqq2FA)** on how to -accelerate an ML Image Segmentation app in 5 minutes using this AAR file, with the supporting guide -**[here](https://developer.arm.com/documentation/102744/latest)**. To download the Arm NN AAR file, please see the +accelerate an ML Image Segmentation app in 5 minutes using this AAR file. To download the Arm NN AAR file, please see the **[Pre-Built Binaries](#pre-built-binaries)** section below. We also provide Debian packages for Arm NN, which are a quick way to start using Arm NN and the TF Lite Parser @@ -60,14 +59,14 @@ Arm NN from scratch is the ability to **exactly choose which components to build ## Pre-Built Binaries -| Operating System | Architecture-specific Release Archive (Download) | -|-----------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Android (AAR) | [](https://github.com/ARM-software/armnn/releases/download/v22.11/armnn_delegate_jni-22.11.aar) | -| Android 10 "Q/Quince Tart" (API level 29) | [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-29-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-29-arm64-v8a.tar.gz) | -| Android 11 "R/Red Velvet Cake" (API level 30) | [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-30-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-30-arm64-v8a.tar.gz) | -| Android 12 "S/Snow Cone" (API level 31) | [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-31-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-31-arm64-v8a.tar.gz) | -| Android 13 "T/Tirimase" (API level 32) | [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-32-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v22.11/ArmNN-android-32-arm64-v8a.tar.gz) | -| Linux | [](https://github.com/ARM-software/armnn/releases/download/v22.08/ArmNN-linux-aarch64.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v22.08/ArmNN-linux-x86_64.tar.gz) | +| Operating System | Architecture-specific Release Archive (Download) | +|-----------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Android (AAR) | [](https://github.com/ARM-software/armnn/releases/download/v23.02/armnn_delegate_jni-23.02.aar) | +| Android 10 "Q/Quince Tart" (API level 29) | [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-29-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-29-arm64-v8a.tar.gz) | +| Android 11 "R/Red Velvet Cake" (API level 30) | [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-30-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-30-arm64-v8a.tar.gz) | +| Android 12 "S/Snow Cone" (API level 31) | [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-31-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-31-arm64-v8a.tar.gz) | +| Android 13 "T/Tirimase" (API level 32) | [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-32-arm64-v8.2-a.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-android-32-arm64-v8a.tar.gz) | +| Linux | [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-linux-aarch64.tar.gz) [](https://github.com/ARM-software/armnn/releases/download/v23.02/ArmNN-linux-x86_64.tar.gz) | ## Software Overview |