Using without callbacks for input and output?

[cgreening]

I'm fairly new to Micropython, so this might not be the way things work.

Is it possible to use the interpreter without input and output callbacks?

e.g.

model = bytearray(59760)
model_file = io.open('test.tflite', 'rb')
model_file.readinto(model)
model_file.close()

interp = microlite.interpreter(model, 4096, None, None)
inputTensor = microlite_interpreter.getInputTensor(0)
# fill the input tensor with data
outputTensor = microlite_interpreter.getOutputTensor(0)
interp.invoke()
result = outputTensor.getValue(0)

[mocleiri]

The callback approach is not the best and dates from the very beginning (January 2021) when I didn't know how anything worked.

I plan to change how the interpreter works in #10 to try and line up as a subset of the tensorflow lite python Interpreter API.

I just took a look at your question on my m5 camera board and its possible to not use the callbacks but at the moment you have to stub a specific kind of no-op function.

def noop(interp):
    pass

interp = microlite.interpreter(model, 4096, noop, noop)
inputTensor = microlite_interpreter.getInputTensor(0)
# fill the input tensor with data
outputTensor = microlite_interpreter.getOutputTensor(0)
interp.invoke()
result = outputTensor.getValue(0)

I'll make an API change on this issue so that if you don't set callbacks don't use them.

i.e.

interp = microlite.interpreter(model, 4096)
inputTensor = microlite_interpreter.getInputTensor(0)
# fill the input tensor with data
outputTensor = microlite_interpreter.getOutputTensor(0)
interp.invoke()
result = outputTensor.getValue(0)

I think it should be a minor adjustment to the interpreter constructor

and the invoke method.

It seemed like it was a little bit faster without the function calls.

[cgreening]

That works nicely!