[Mobile] Android/Kotlin/JAVA Multi Threading for Multi models in android app

[molo6379]

Describe the issue

There are no example about Multi-threading on android device regarding of using multiple models

To reproduce

N/A

Urgency

I really need it ASAP please help :(((

Platform

Android

OS Version

12

ONNX Runtime Installation

Built from Source

Compiler Version (if 'Built from Source')

No response

Package Name (if 'Released Package')

onnxruntime-android

ONNX Runtime Version or Commit ID

com.microsoft.onnxruntime:onnxruntime-android:latest.release

ONNX Runtime API

Java/Kotlin

Architecture

X64

Execution Provider

Default CPU

Execution Provider Library Version

No response

I am trying to use two models on android for inference but wanna make them run parallel.

private suspend fun createOrtSession(): OrtSession? {
    val so = OrtSession.SessionOptions()
    so.use {
        return ortEnv?.createSession(readModel(), so)
    }
}
private suspend fun createOrtSession2(): OrtSession? {
    val so = OrtSession.SessionOptions()
    so.use {
        return ortEnv?.createSession(readModel2(), so)
    }
}


val env = OrtEnvironment.getEnvironment()

env.use {
    val tensor = OnnxTensor.createTensor(env, imgData, shape)
    val tensor2 = OnnxTensor.createTensor(env, imgData2, shape2)

    val startTime = SystemClock.uptimeMillis()

    tensor2.use {
        val timeStart2 = System.currentTimeMillis()
        val output2 = ortSession2?.run(Collections.singletonMap(inputName2, tensor2))
//                Log.i(TAG, "Depth 모델 시간: " + (System.currentTimeMillis() - timeStart2).toString())
        result2.log.add("Depth Model 결과 : " + " " + (System.currentTimeMillis() - timeStart2))
        output2.use {

            val depthArray = output2?.get(0)?.value as Array<Array<FloatArray>>
//                    Log.i(TAG, Arrays.deepToString(depthArray))
        }
    }


    tensor.use {

        val timeStart3 = System.currentTimeMillis()
        val output = ortSession?.run(Collections.singletonMap(inputName, tensor))
//                Log.i(TAG, "Detection 모델 시간: " + (System.currentTimeMillis() - timeStart3).toString())
        result2.log.add("Detection Model 결과 : " + " " + (System.currentTimeMillis() - timeStart3))
        output.use {

Above code is that I made 2 seperate sessions for two different models but now Im running them in serial which is very inefficient.

Can I get an example of how to do Multi-thread on android and run two models in parallel?

[tianleiwu]

Since you have two independent sessions, you can have one thread to call one session to run inference.

For kotlin multiple threading, you can look at examples like https://medium.com/@korhanbircan/multithreading-and-kotlin-ac28eed57fea. For example, you can have two threads.

class DepthModelThread: Thread() {
    public override fun run() {
        ... // depth model inference code here.
    }
}
class DetectionModelThread: Thread() {
    public override fun run() {
        ... // detection model inference code here.
    }
}

For onnxruntime Kotlin/Java example, you can look at this:
https://github.com/microsoft/onnxruntime-inference-examples/blob/main/mobile/examples/super_resolution/android/app/src/main/java/ai/onnxruntime/example/superresolution/SuperResPerformer.kt

[Craigacp]

We test multithreaded behaviour here - https://github.com/microsoft/onnxruntime/blob/main/java/src/test/java/ai/onnxruntime/InferenceTest.java#L533

[github-actions]

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