From 4fe12f1c946388f7d16252b95cd6115180ee9535 Mon Sep 17 00:00:00 2001 From: Yelin Jeong Date: Tue, 8 Oct 2024 12:09:15 +0900 Subject: [PATCH] Documentation: Add an example scenario that shows outer-delegation This patch adds an example scenario that shows outer-delegation which MLAgent service handles from the other package. Signed-off-by: Yelin Jeong --- documentation/getting_started.md | 42 ++++++++++++++++----- documentation/img/A-34-arm64_LlamaEx0.jpeg | Bin 0 -> 267616 bytes 2 files changed, 33 insertions(+), 9 deletions(-) create mode 100644 documentation/img/A-34-arm64_LlamaEx0.jpeg diff --git a/documentation/getting_started.md b/documentation/getting_started.md index cbaf2fa..cd07e89 100644 --- a/documentation/getting_started.md +++ b/documentation/getting_started.md @@ -523,7 +523,7 @@ $ find ./ml_inference_offloading/ -name "*.apk" The following steps are required to run an LLM task (i.e., Llama2) via the Android app. -##### Preparing the llama2 model +##### Preparing the llama2 model and the configuration file We need a pair of the model and tokenizer files for an LLM task. You can download a small model for the Android device using this [guide](https://github.com/karpathy/llama2.c/tree/master?tab=readme-ov-file#custom-tokenizers). @@ -535,18 +535,17 @@ $ mv model.bin nnstreamer-android/ml_inference_offloading/src/main/assets/models $ mv tok4096.bin nnstreamer-android/ml_inference_offloading/src/main/assets/models/tokenizer.bin ``` -##### Building the llama2.c for Android - -To build application with llama2.c, you need to clone this [repository](https://github.com/nnsuite/llama2.c). +We provide llama2.c as an example [configuration file](/documentation/example_conf/llama2c.conf). +To use it, copy the configuration file to the assets directory. ```bash -$ git clone https://github.com/nnsuite/llama2.c externals/llama2.c - -$ ls externals/llama2.c/ -...omitted... +$ cp documentation/example_conf/llama2c.conf ml_inference_offloading/src/main/assets/models ``` -Then, set the directory where the llama2.c placed to the [gradle.properties](/gradle.properties). +##### Building the llama2.c for Android + +To build the application with llama2.c, you need to indicate the directory where llama2.c is placed via the ```dir.llama2c``` property in the [gradle.properties](/gradle.properties). + ``` dir.llama2c=llama2.c ``` @@ -730,3 +729,28 @@ To change the screen to the demonstrate the scenario, 1) open the modal navigati After changing the screen, you can see the **Camera Preview** and the real-time object classification result above the preview box as shown below. ![Android example](img/A-34-arm64_VisionEx0.png) + +#### Handling ML Computation Delegation Requests from the Android Components in the Other package + +The MLAgent can handle the delegation requests from the other package. The following code should be added to the other package's `AndroidManifest.xml` +for [package visibility](https://developer.android.com/training/package-visibility/declaring). + +```xml + + + + + + ... + +``` + +We are providing a simple example application that demonstrates this scenario. This example sends an input prompt to the MLAgent +and retrieves the generated output text using the llama2 model. + +To receive auto-generated text by llama2 model, 1) enter the beginning of the sentence and 2) press the `Run llama2` button. + +![Android example](img/A-34-arm64_LlamaEx0.jpeg) + +If you want to build this example, you can follow [the guide](https://github.com/nnstreamer/nnstreamer-example/blob/main/android/kotlin_app/README.md). diff --git a/documentation/img/A-34-arm64_LlamaEx0.jpeg b/documentation/img/A-34-arm64_LlamaEx0.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..9eddb718eaf2dd2dabcb7f98f15e753ff06beb41 GIT binary patch literal 267616 zcmeFZ1yEc~v@SYGf&_ONAVCIq_YmA|aCdi?0D%C(2KV6Z3@*WCaDqDt9%M)euDSgG zJ^#7q-a7ZZck7&2^L)Pi|}U;$f%e&NB|lH#J{sq0cf~*Z_x1x2sw$kB-G8^p~Tc~ zi6o>nnmQknW@$CFJd)GW3mRt@mVS}Zaq|fXzSH*dPHkvz?VAVDGw}PiF!BmX`uNG1 zH!(@e>RMUbhDP)cZ}G^1^(-ts%ZBF8o*Sq5TWbK)zk&Bp>uAr}lDGgw05Z~x7cXBT 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