use orkhon::prelude::*;
 use orkhon::tcore::prelude::*;
 use orkhon::ttensor::prelude::*;
 use rand::*;
 use std::path::PathBuf;

let o = Orkhon::new()
    .config(
        OrkhonConfig::new()
            .with_input_fact_shape(InferenceFact::dt_shape(f32::datum_type(), tvec![10, 100])),
    )
    .tensorflow(
        "model_which_will_be_tested",
        PathBuf::from("tests/protobuf/manual_input_infer/my_model.pb"),
    )
    .shareable();

let mut rng = thread_rng();
let vals: Vec<_> = (0..1000).map(|_| rng.gen::<f32>()).collect();
let input = tract_ndarray::arr1(&vals).into_shape((10, 100)).unwrap();

let o = o.get();
let handle = async move {
    let processor = o.tensorflow_request_async(
       "model_which_will_be_tested",
       ORequest::with_body(TFRequest::new().body(input.into())),
    );
    processor.await
};
let resp = block_on(handle).unwrap();

use orkhon::prelude::*;
use orkhon::tcore::prelude::*;
use orkhon::ttensor::prelude::*;
use rand::*;
use std::path::PathBuf;

 let o = Orkhon::new()
     .config(
         OrkhonConfig::new()
             .with_input_fact_shape(InferenceFact::dt_shape(f32::datum_type(), tvec![10, 100])),
     )
     .onnx(
         "model_which_will_be_tested",
         PathBuf::from("tests/protobuf/onnx_model/example.onnx"),
     )
     .build();

 let mut rng = thread_rng();
 let vals: Vec<_> = (0..1000).map(|_| rng.gen::<f32>()).collect();
 let input = tract_ndarray::arr1(&vals).into_shape((10, 100)).unwrap();

 let resp = o
     .onnx_request(
         "model_which_will_be_tested",
         ORequest::with_body(ONNXRequest::new().body(input.into())),
     )
     .unwrap();
 assert_eq!(resp.body.output.len(), 1);