Advise using ONNX Runtime release .aar files instead

README.md

@@ -24,7 +24,7 @@ depthgauger_keystore_key_password=...
 
 If you're using Windows, remember to escape your slashes in `depthgauger_keystore_path`.
 
-Add a compiled ONNX Runtime AAR file called `onnxruntime-debug.aar` to the `onnxruntime-debug`
+Add a compiled ONNX Runtime AAR file called `onnxruntime-release.aar` to the `onnxruntime-release`
 directory.
 
 ### Choose a framework to test

benchmark/build.gradle

@@ -122,7 +122,7 @@ dependencies {
     implementation 'com.google.guava:guava:30.1.1-android'
 
     // Frameworks
-    onnxImplementation project(":onnxruntime-debug")
+    onnxImplementation project(":onnxruntime-release")
     pytorchImplementation 'org.pytorch:pytorch_android:1.8.0'
     tensorflowImplementation 'org.tensorflow:tensorflow-lite:2.4.0'
     tensorflowImplementation 'org.tensorflow:tensorflow-lite-gpu:2.4.0'

onnxruntime-debug/build.gradle

@@ -1,2 +0,0 @@
-configurations.maybeCreate("default")
-artifacts.add("default", file("onnxruntime-debug.aar"))

onnxruntime-release/build.gradle

@@ -0,0 +1,2 @@
+configurations.maybeCreate("default")
+artifacts.add("default", file("onnxruntime-release.aar"))

settings.gradle

@@ -1,4 +1,4 @@
-include ':onnxruntime-debug'
+include ':onnxruntime-release'
 include ':dummyapp'
 include ':benchmark'
 rootProject.name = "Inference Test"