Forums - oemconfig.so

Hi.  That error is expected.  Unfortunately it's a log message built into the platform that occurs even in working cases.   It occurs when the DSP runtime is invoked. You should notice that error even when you use a working example.

Try running your model on CPU or GPU to be sure, but the error you are seeing is likely not the source of the issue you are having.  Can you provide more detail on what you have done/are trying to do?  

Hi, jesliger

I also met this problem. I tried implementing for an android example application with inceptionv3 dlc file according to

https://developer.qualcomm.com/forum/qdn-forums/software/snapdragon-neur...

And here is my patches for showing what I did

1st

app/src/main/java/com/qualcomm/qti/snpe/imageclassifiers/ModelOverviewFragment.java
@@ -150,7 +150,7 @@ public class ModelOverviewFragment extends Fragment {
     }
 
     public void setNetworkDimensions(Map<String, int[]> inputDimensions) {
-        mDimensionsText.setText(Arrays.toString(inputDimensions.get("data")));
+        mDimensionsText.setText(Arrays.toString(inputDimensions.get("Mul:0")));
     }

2nd

app/src/main/java/com/qualcomm/qti/snpe/imageclassifiers/tasks/ClassifyImageTask.java
@@ -29,7 +29,7 @@ public class ClassifyImageTask extends AsyncTask<Bitmap, Void, String[]> {
 
     private static final String LOG_TAG = ClassifyImageTask.class.getSimpleName();
 
-    public static final String OUTPUT_LAYER = "prob";
+    public static final String OUTPUT_LAYER = "softmax:0";
 
     private static final int FLOAT_SIZE = 4;
 
@@ -54,7 +54,7 @@ public class ClassifyImageTask extends AsyncTask<Bitmap, Void, String[]> {
         final List<String> result = new LinkedList<>();
 
         final FloatTensor tensor = mNeuralNetwork.createFloatTensor(
-                mNeuralNetwork.getInputTensorsShapes().get("data"));
+                mNeuralNetwork.getInputTensorsShapes().get("Mul:0"));
 
         final int[] dimensions = tensor.getShape();
         final FloatBuffer meanImage = loadMeanImageIfAvailable(mModel.meanImage, tensor.getSize());
@@ -95,15 +95,20 @@ public class ClassifyImageTask extends AsyncTask<Bitmap, Void, String[]> {
     }
 
     private void writeRgbBitmapAsFloat(Bitmap image, FloatBuffer meanImage, FloatTensor tensor) {
+        int imageMean = 128;
+        float imageStd = 128.0f;
         final int[] pixels = new int[image.getWidth() * image.getHeight()];
         image.getPixels(pixels, 0, image.getWidth(), 0, 0,
             image.getWidth(), image.getHeight());
         for (int y = 0; y < image.getHeight(); y++) {
             for (int x = 0; x < image.getWidth(); x++) {
                 final int rgb = pixels[y * image.getWidth() + x];
-                float b = ((rgb)       & 0xFF) - meanImage.get();
-                float g = ((rgb >>  8) & 0xFF) - meanImage.get();
-                float r = ((rgb >> 16) & 0xFF) - meanImage.get();
+                //float b = ((rgb)       & 0xFF) - meanImage.get();
+                float b = (((rgb) & 0xFF) - imageMean) / imageStd;  // imageMean = 128, imageStd = 128.0f
+                //float g = ((rgb >>  8) & 0xFF) - meanImage.get();
+                float g = (((rgb >>  8) & 0xFF) - imageMean) / imageStd; // imageMean = 128, imageStd = 128.0f
+                //float r = ((rgb >> 16) & 0xFF) - meanImage.get();
+                float r = (((rgb >>  16) & 0xFF) - imageMean) / imageStd; // imageMean = 128, imageStd = 128.0f

 3rd, I change alexnet to inception_v3 by this way:

app/src/main/java/com/qualcomm/qti/snpe/imageclassifiers/ModelCatalogueFragmentController.java
@@ -40,7 +40,7 @@ public class ModelCatalogueFragmentController extends
     }
 
     private void startModelsExtraction() {
-        ModelExtractionService.extractModel(mContext, "alexnet", R.raw.alexnet);
+        ModelExtractionService.extractModel(mContext, "inception_v3", R.raw.inception_v3);
     }

What I missed?

And here  is the error logs:

02-06 21:29:19.422 24875-24991/com.qualcomm.qti.snpe.imageclassifiers E/com.qualcomm.qti.snpe.imageclassifiers: vendor/qcom/proprietary/adsprpc/src/apps_std_imp.c:538:Error 45: fopen failed for oemconfig.so. (No such file or directory)
02-06 21:29:19.427 24875-24991/com.qualcomm.qti.snpe.imageclassifiers E/com.qualcomm.qti.snpe.imageclassifiers: vendor/qcom/proprietary/adsprpc/src/apps_std_imp.c:538:Error 45: fopen failed for testsig-0xb75420ea.so. (No such file or directory)
02-06 21:29:19.428 24875-24991/com.qualcomm.qti.snpe.imageclassifiers E/com.qualcomm.qti.snpe.imageclassifiers: vendor/qcom/proprietary/adsprpc/src/apps_std_imp.c:538:Error 45: fopen failed for testsig.so. (No such file or directory)
02-06 21:29:22.579 24875-24986/com.qualcomm.qti.snpe.imageclassifiers E/AndroidRuntime: FATAL EXCEPTION: AsyncTask #4
                                                                                        Process: com.qualcomm.qti.snpe.imageclassifiers, PID: 24875
                                                                                        java.lang.RuntimeException: An error occurred while executing doInBackground()
                                                                                            at android.os.AsyncTask$3.done(AsyncTask.java:325)
                                                                                            at java.util.concurrent.FutureTask.finishCompletion(FutureTask.java:354)
                                                                                            at java.util.concurrent.FutureTask.setException(FutureTask.java:223)
                                                                                            at java.util.concurrent.FutureTask.run(FutureTask.java:242)
                                                                                            at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:243)
                                                                                            at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1133)
                                                                                            at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:607)
                                                                                            at java.lang.Thread.run(Thread.java:761)
                                                                                         Caused by: com.qualcomm.qti.snpe.NeuralNetwork$InvalidInput: Tensor not amongst network input tensors: data
                                                                                            at com.qualcomm.qti.snpe.internal.NativeNetwork.assertInputTensor(NativeNetwork.java:275)
                                                                                            at com.qualcomm.qti.snpe.internal.NativeNetwork.execute(NativeNetwork.java:110)
                                                                                            at com.qualcomm.qti.snpe.imageclassifiers.tasks.ClassifyImageTask.doInBackground(ClassifyImageTask.java:75)
                                                                                            at com.qualcomm.qti.snpe.imageclassifiers.tasks.ClassifyImageTask.doInBackground(ClassifyImageTask.java:28)
                                                                                            at android.os.AsyncTask$2.call(AsyncTask.java:305)

Thanks