First test with rust api

src/lib.rs

@@ -1,3 +1,4 @@
+use std::ffi::c_void;
 use std::ffi::{self, CString};
 use std::ptr;
 
@@ -248,7 +249,7 @@ impl Clone for SessionOptions {
 }
 
 impl Session {
-    pub fn new(env: Env, model_path: &str, options: SessionOptions) -> Result<Self> {
+    pub fn new(env: &Env, model_path: &str, options: &SessionOptions) -> Result<Self> {
         let model_path = CString::new(model_path)?;
         let mut raw = ptr::null_mut();
         unsafe {
@@ -264,9 +265,44 @@ impl Session {
         Ok(Session { raw })
     }
 
+    pub fn input_name(&self, ix: u64) -> Result<OrtString> {
+        let alloc = Allocator::default();
+        let mut raw = ptr::null_mut();
+
+        unsafe {
+            checked_call!(SessionGetInputName, self.raw, ix, alloc.raw, &mut raw)?;
+        }
+
+        Ok(OrtString { raw })
+    }
+
+    pub fn output_name(&self, ix: u64) -> Result<OrtString> {
+        let alloc = Allocator::default();
+        let mut raw = ptr::null_mut();
+
+        unsafe {
+            checked_call!(SessionGetOutputName, self.raw, ix, alloc.raw, &mut raw)?;
+        }
+
+        Ok(OrtString { raw })
+    }
+
+    // pub fn run(
+    //     &self,
+    //     options: &RunOptions,
+    //     input_names: InputNames,
+    //     inputs: Inputs,
+    //     output_names: OutputNames,
+    //     ) -> Result<Vec<Value>>
+    //     where InputNames: Iterator<Item=&str>,
+    //           Inputs: Iterator<Item=&Value>,
+    //           OutputNames: Iterator<Item=&str>,
+    // {
+    // }
+
     pub fn run_raw(
         &self,
-        options: RunOptions,
+        options: &RunOptions,
         input_names: &[&str],
         inputs: &[&Value],
         output_names: &[&str],
@@ -327,18 +363,94 @@ impl Default for Allocator {
     }
 }
 
+impl Allocator {
+    pub unsafe fn free(&self, ptr: *mut c_void) {
+        checked_call!(AllocatorFree, self.raw, ptr).expect("AllocatorFree");
+    }
+}
+
+use std::ffi::CStr;
+use std::os::raw::c_char;
+
+/// An ort string with the default allocator
+pub struct OrtString {
+    raw: *const c_char,
+}
+
+impl std::ops::Deref for OrtString {
+    type Target = CStr;
+
+    fn deref(&self) -> &CStr {
+        unsafe { CStr::from_ptr(self.raw) }
+    }
+}
+
+impl Drop for OrtString {
+    fn drop(&mut self) {
+        let alloc = Allocator::default();
+        unsafe { alloc.free(self.raw as _) }
+    }
+}
+
 impl MemoryInfo {
     pub fn cpu_memory_info(alloc_type: AllocatorType, mem_type: MemType) -> Result<Self> {
         let mut raw = ptr::null_mut();
         unsafe {
-            checked_call!(
+            checked_call!(CreateCpuMemoryInfo, alloc_type, mem_type, &mut raw)?;
-                CreateCpuMemoryInfo,
-                alloc_type,
-                mem_type,
-                &mut raw
-            )?;
         }
 
         Ok(MemoryInfo { raw })
     }
 }
+
+impl RunOptions {
+    pub fn new() -> RunOptions {
+        let mut raw = ptr::null_mut();
+        unsafe {
+            checked_call!(CreateRunOptions, &mut raw).expect("CreateRunOptions");
+        }
+
+        RunOptions { raw }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn mat_mul() -> Result<()> {
+        let env = Env::new(LoggingLevel::Warning, "test")?;
+
+        let so = SessionOptions::new()?;
+
+        let model_path = "../onnxruntime/test/testdata/matmul_1.onnx";
+        let session = Session::new(&env, model_path, &so)?;
+        let in_name = session.input_name(0)?;
+        let out_name = session.output_name(0)?;
+
+        let ro = RunOptions::new();
+
+        let mem_info = MemoryInfo::cpu_memory_info(AllocatorType::ArenaAllocator, MemType::Cpu)?;
+
+        let input_names = vec![in_name.to_str().unwrap()];
+        let output_names = vec![out_name.to_str().unwrap()];
+
+        let input_data: Vec<f32> = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
+        let input_shape = vec![3, 2];
+
+        let input_tensor = Tensor::new(mem_info, input_shape, input_data)?;
+
+        let output = session.run_raw(&ro, &input_names, &[input_tensor.value()], &output_names)?;
+
+        let output_value = output.into_iter().next().unwrap();
+        let output_tensor = output_value.as_tensor::<f32>().ok().expect("as_tensor");
+
+        assert_eq!(
+            &output_tensor[..],
+            &[1. + 2. * 2., 3. + 2. * 4., 5. + 2. * 6.]
+        );
+
+        Ok(())
+    }
+}

src/value.rs

@@ -87,12 +87,10 @@ impl TensorTypeAndShapeInfo {
     /// Return the number of elements specified by the tensor shape. Return a negative value if
     /// unknown (i.e., any dimension is negative.)
     ///
-    /// ```
     /// [] -> 1
     /// [1,3,4] -> 12
     /// [2,0,4] -> 0
     /// [-1,3,4] -> -1
-    /// ```
     pub fn elem_count(&self) -> isize {
         let mut count = 0;
         unsafe {
@@ -273,4 +271,3 @@ macro_rules! values {
         }
     };
 }
-