File vart.py

class Runner : public vart::BaseRunner<const void**, void**>

Class of the Runner, provides API to use the runner.

The runner instance has a number of member functions to control the execution and get the input and output tensors of the runner.

Sample code:

// This example assumes that you have a snapshot stored in the model_path.
// The way to create a runner to run the snapshot is shown below.

// create runner
auto runner = vart::Runner::create_runner(model_path, in_shape_format, out_shape_format);
// get input tensors
auto input_tensors = runner->get_input_tensors();
// get output tensors
auto output_tensors = runner->get_output_tensors();
// run runner
auto v = runner->execute_async(input, output);
auto status = runner->wait((int)v.first, 1000000000);
}