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fix(ai): fallback to bundled TFLite runtime on non-GMS devices #19

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fix(ai): fallback to bundled TFLite runtime on non-GMS devices #19

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4 changes: 4 additions & 0 deletions gradle/libs.versions.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -84,6 +84,8 @@ circleimageview = "3.1.0"
simpleMvp = "1.0.2"
dtoast = "1.1.5"
preferenceKtx = "1.2.1"
tensorflowLite = "2.14.0"
tensorflowLiteSupport = "0.4.4"

[libraries]
androidx-core-ktx = { group = "androidx.core", name = "core-ktx", version.ref = "coreKtx" }
Expand Down Expand Up @@ -177,6 +179,8 @@ circleimageview = { module = "de.hdodenhof:circleimageview", version.ref = "circ
jaredrummler-simple-mvp = { module = "com.jaredrummler:simple-mvp", version.ref = "simpleMvp" }
dtoast = { module = "com.github.Dovar66:DToast", version.ref = "dtoast" }
androidx-preference-ktx = { module = "androidx.preference:preference-ktx", version.ref = "preferenceKtx" }
tensorflow-lite = { module = "org.tensorflow:tensorflow-lite", version.ref = "tensorflowLite" }
tensorflow-lite-support = { module = "org.tensorflow:tensorflow-lite-support", version.ref = "tensorflowLiteSupport" }

[plugins]
androidApplication = { id = "com.android.application", version.ref = "agp" }
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10 changes: 7 additions & 3 deletions subs/ai/build.gradle.kts
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Expand Up @@ -30,11 +30,11 @@ android {
}

compileOptions {
sourceCompatibility = JavaVersion.VERSION_21
targetCompatibility = JavaVersion.VERSION_21
sourceCompatibility = JavaVersion.VERSION_17
targetCompatibility = JavaVersion.VERSION_17
}
kotlinOptions {
jvmTarget = "21"
jvmTarget = "17"
}
androidResources {
noCompress("tflite")
Expand All @@ -58,4 +58,8 @@ dependencies {

implementation(libs.play.services.tflite.java)
implementation(libs.play.services.tflite.support)

implementation(libs.tensorflow.lite)
implementation(libs.tensorflow.lite.support)

}
10 changes: 7 additions & 3 deletions subs/ai/src/main/java/com/engineer/ai/GanActivity.kt
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Expand Up @@ -60,9 +60,13 @@ class GanActivity : AppCompatActivity() {
}

private fun genBitmap() {
TensorFlowLiteHelper.init(this) {
val interpreterApi = TensorFlowLiteHelper.createInterpreterApi(this, "dcgan.tflite")
interpreterApi?.let {
TensorFlowLiteHelper.init(this) { playServicesOk ->
val interpreterApi = TensorFlowLiteHelper.createInterpreterApi(
context = this,
modelName = "dcgan.tflite",
preferPlayServices = playServicesOk
)
interpreterApi.let {
Log.d(TAG, interpreterApi.getInputTensor(0).shape().contentToString())
Log.d(TAG, interpreterApi.getOutputTensor(0).shape().contentToString())

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42 changes: 28 additions & 14 deletions subs/ai/src/main/java/com/engineer/ai/util/DigitClassifier.kt
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Expand Up @@ -40,21 +40,35 @@ class DigitClassifier(private val context: Context) {
private var interpreter: InterpreterApi? = null

fun initialize(cb: (Boolean) -> Unit) {
TensorFlowLiteHelper.init(context) {
cb(it)
if (it) {
interpreter = TensorFlowLiteHelper.createInterpreterApi(context, "mnist.tflite")
// Read input shape from model file
interpreter?.let { inter ->
val inputShape = inter.getInputTensor(0).shape()
Log.d(TAG, "input shape = ${inputShape.contentToString()}")
Log.d(TAG, "elem shape = ${inter.getInputTensor(0).numElements()}")
Log.d(TAG, "output shape = ${inter.getOutputTensor(0).shape().contentToString()}")
inputImageWidth = inputShape[1]
inputImageHeight = inputShape[2]
modelInputSize = FLOAT_TYPE_SIZE * inputImageWidth * inputImageHeight * PIXEL_SIZE
isInitialized = true
TensorFlowLiteHelper.init(context) { playServicesOk ->
try {
interpreter = TensorFlowLiteHelper.createInterpreterApi(
context = context,
modelName = "mnist.tflite",
preferPlayServices = playServicesOk
)

val inter = interpreter
if (inter == null) {
isInitialized = false
cb(false)
return@init
}

val inputShape = inter.getInputTensor(0).shape()
Log.d(TAG, "input shape = ${inputShape.contentToString()}")
Log.d(TAG, "elem shape = ${inter.getInputTensor(0).numElements()}")
Log.d(TAG, "output shape = ${inter.getOutputTensor(0).shape().contentToString()}")

inputImageWidth = inputShape[1]
inputImageHeight = inputShape[2]
modelInputSize = FLOAT_TYPE_SIZE * inputImageWidth * inputImageHeight * PIXEL_SIZE
isInitialized = true
cb(true)
} catch (t: Throwable) {
Log.e(TAG, "Failed to initialize DigitClassifier.", t)
isInitialized = false
cb(false)
}
}
}
Expand Down
52 changes: 34 additions & 18 deletions subs/ai/src/main/java/com/engineer/ai/util/TensorFlowLiteHelper.kt
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Expand Up @@ -16,29 +16,45 @@ import java.nio.channels.FileChannel

object TensorFlowLiteHelper {
private const val TAG = "TensorFlowLiteHelper"
private lateinit var initializeTask: Task<Void>
private var interpreter: InterpreterApi? = null

/**
* Try to init Google Play Services TFLite (dynamite module).
*
* This will fail on devices without Google Play Services (e.g. many CN ROMs).
* We treat failure as non-fatal and fall back to bundled TFLite runtime.
*/
fun init(context: Context, cb: (Boolean) -> Unit) {
initializeTask = TfLite.initialize(context)
initializeTask.addOnSuccessListener {
Log.d(TAG, "Initialized TFLite interpreter.")
Log.d(TAG, "ver ${TensorFlowLite.schemaVersion(InterpreterApi.Options.TfLiteRuntime.FROM_SYSTEM_ONLY)}")
Log.d(TAG, "ver ${TensorFlowLite.runtimeVersion(InterpreterApi.Options.TfLiteRuntime.FROM_SYSTEM_ONLY)}")
cb(true)
}.addOnFailureListener {
Log.d(TAG, "Initialized TFLite fail")
cb(false)
Log.e(TAG, "error ", it)
}
TfLite.initialize(context)
.addOnSuccessListener {
Log.d(TAG, "Initialized Play Services TFLite.")
try {
Log.d(
TAG,
"schema=${TensorFlowLite.schemaVersion(InterpreterApi.Options.TfLiteRuntime.FROM_SYSTEM_ONLY)} runtime=${TensorFlowLite.runtimeVersion(InterpreterApi.Options.TfLiteRuntime.FROM_SYSTEM_ONLY)}"
)
} catch (t: Throwable) {
Log.w(TAG, "Unable to query system-only TFLite version.", t)
}
cb(true)
}
.addOnFailureListener { e ->
Log.w(TAG, "Play Services TFLite init failed; will fall back to bundled runtime.", e)
cb(false)
}
}

fun createInterpreterApi(context: Context, modelName: String): InterpreterApi? {
fun createInterpreterApi(context: Context, modelName: String, preferPlayServices: Boolean): InterpreterApi {
val model = loadModelFile(context.assets, modelName)
val interpreterOption =
InterpreterApi.Options().setRuntime(InterpreterApi.Options.TfLiteRuntime.FROM_SYSTEM_ONLY)
interpreter = InterpreterApi.create(model, interpreterOption)
return interpreter

val runtime = if (preferPlayServices) {
InterpreterApi.Options.TfLiteRuntime.FROM_SYSTEM_ONLY
} else {
// Bundled runtime provided by org.tensorflow:tensorflow-lite
InterpreterApi.Options.TfLiteRuntime.FROM_APPLICATION_ONLY
}

val options = InterpreterApi.Options().setRuntime(runtime)
return InterpreterApi.create(model, options)
}

@Throws(IOException::class)
Expand Down