Add Session::make_runner()

onnxruntime/src/session.rs

@@ -10,7 +10,7 @@ use std::os::windows::ffi::OsStrExt;
 #[cfg(feature = "model-fetching")]
 use std::env;
 
-use ndarray::Array;
+use ndarray::{Array, Dimension};
 use tracing::{debug, error};
 
 use onnxruntime_sys as sys;
@@ -21,6 +21,7 @@ use crate::{
     error::{status_to_result, NonMatchingDimensionsError, OrtError, Result},
     g_ort,
     memory::MemoryInfo,
+    runner::{Element, RunnerBuilder},
     tensor::{
         ort_owned_tensor::{OrtOwnedTensor, OrtOwnedTensorExtractor},
         OrtTensor,
@@ -361,6 +362,13 @@ impl Drop for Session {
 }
 
 impl Session {
+    pub fn make_runner<T: Element, D: Dimension, I: IntoIterator<Item = Array<T, D>>>(
+        &self,
+        input_arrays: I,
+    ) -> RunnerBuilder<'_, T, D> {
+        RunnerBuilder::new(self, input_arrays)
+    }
+
     /// Run the input data through the ONNX graph, performing inference.
     ///
     /// Note that ONNX models can have multiple inputs; a `Vec<_>` is thus