Which version of system do you use? Khadas official images, self built images, or others?
Khadas official images
Please describe your issue below:
I’m trying to run my onnx model with nnapi as Execution Provider.
Below is my source trying to run. I’m using kotlin.
when I enabled “ortoption.addNnapi(EnumSet.of(NNAPIFlags.USE_NCHW, NNAPIFlags.CPU_DISABLED));” code to run model with gpu, error was occured.
My model’s operators are compatible with nnapi feature level 3.
Please help me to solve this.
/=================================================================/
val ortoption = SessionOptions()
//ortoption.addNnapi();
//ortoption.addNnapi(EnumSet.of(NNAPIFlags.USE_NCHW, NNAPIFlags.CPU_DISABLED));
var orisession = ortEnv?.createSession(mobelbyteArray, ortoption);
val height:Long = 224
val width:Long = 224
val shape = longArrayOf(8, 3, height, width)
val env = OrtEnvironment.getEnvironment()
var duration: Long = 0;
val imgData = FloatBuffer.allocate(height.toInt() * width.toInt() * 3 * 8)
val inputName = orisession?.inputNames?.iterator()?.next()
env.use {
val tensor = OnnxTensor.createTensor(env, imgData, shape)
val startTime = SystemClock.uptimeMillis()
tensor.use {
duration = measureTimeMillis {
val output = orisession?.run(Collections.singletonMap(inputName, tensor))
}
println("Time is : " + duration)
}
}
/=================================================================/
Post a console log of your issue below:
ANEURALNETWORKS_OP_FAILED