Forums - failed to forward propagate inputs!

I am using a part of SNPE 1.13.0 android example to execute mobilenet-ssd network.

I have a 640x480 YUV frame that i convert to 300x300 RGB bitmap and then feed to mobilenet-ssd. While doing execute() on 1st frame itself, I get following error:

04-17 16:27:53.790  3138  3211 E AndroidRuntime: FATAL EXCEPTION: player_main
04-17 16:27:53.790  3138  3211 E AndroidRuntime: Process: veg.mediaplayer.sdk.test.view2x2, PID: 3138
04-17 16:27:53.790  3138  3211 E AndroidRuntime: java.lang.IllegalStateException: Failed to forward propagate inputs! Cause: error_code=809; error_message=OpenCL function has returned error. OpenCL Error (-7) CL_PROFILING_INFO_NOT_AVAILABLE; error_component=GPU Runtime; line_no=233; thread_id=-703366864; opencl_error=-7
04-17 16:27:53.790  3138  3211 E AndroidRuntime:     at com.qualcomm.qti.snpe.internal.NativeNetwork.nativeForward(Native Method)
04-17 16:27:53.790  3138  3211 E AndroidRuntime:     at com.qualcomm.qti.snpe.internal.NativeNetwork.execute(NativeNetwork.java:120)
04-17 16:27:53.790  3138  3211 E AndroidRuntime:     at com.qualcomm.qti.snpe.imageclassifiers.tasks.ClassifyImageTask.classify(ClassifyImageTask.java:111)
04-17 16:27:53.790  3138  3211 E AndroidRuntime:     at xxx.mediaplayer.sdk.test.view2x2.MainActivity.OnVideoRendererFrameAvailable(MainActivity.java:838)
04-17 16:27:53.790  3138  3211 E AndroidRuntime:     at xxx.mediaplayer.sdk.MediaPlayer.OnVideoRendererFrameAvailable(MediaPlayer.java:2721)
04-17 16:27:53.792   974  1628 W ActivityManager:   Force finishing activity xxx.mediaplayer.sdk.test.view2x2/.MainActivity

I have made sure that I have RGB floating point values ordered properly by running some example YUV to RGB sequences (e.g. https://www.mikekohn.net/file_formats/yuv_rgb_converter.php).

What's the reason for "Failed to forward propagate inputs!"?

public String[] classify(Bitmap image) {
    mResult.clear();

    image.getPixels(pixels, 0, image.getWidth(), 0, 0,
            image.getWidth(), image.getHeight());

    for (int y = 0; y < image.getHeight(); y++) {
        //Log.e("Test", "\n[" + y + "]");
        for (int x = 0; x < image.getWidth(); x++) {
            final int rgb = pixels[y * image.getWidth() + x];
            float[] pixelFloats = {Color.blue(rgb),
                                   Color.green(rgb),
                                   Color.red(rgb)};
            mTensor.write(pixelFloats, 0, pixelFloats.length, y, x);
        }
    }

    final Map<String, FloatTensor> inputs = new HashMap<>();
    inputs.put("Preprocessor/sub:0", mTensor);

    final Map<String, FloatTensor> outputs = mNeuralNetwork.execute(inputs);