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Runner

Struct Runner 

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pub struct Runner { /* private fields */ }

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impl Runner

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pub async fn new( runner_path: &Path, visible_device: Device, ) -> Result<Runner, String>

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pub async fn load<T>( &self, fs: &Arc<T>, runner_name: String, required_framework_version: VersionReq, runner_compat_version: u64, runner_opts: Option<HashMap<String, RunnerOpt>>, visible_device: Device, carton_manifest_hash: Option<String>, ) -> Result<(), String>

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pub async fn infer_with_inputs( &self, tensors_orig: HashMap<String, Tensor>, ) -> Result<HashMap<String, Tensor>, String>

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pub async fn streaming_infer_with_inputs( &self, tensors_orig: HashMap<String, Tensor>, ) -> impl Stream<Item = Result<HashMap<String, Tensor>, String>> + '_

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pub async fn seal( &self, tensors_orig: HashMap<String, Tensor>, ) -> Result<u64, String>

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pub async fn infer_with_handle( &self, handle: u64, ) -> Result<HashMap<String, Tensor>, String>

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pub async fn streaming_infer_with_handle( &self, handle: u64, ) -> impl Stream<Item = Result<HashMap<String, Tensor>, String>> + '_

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pub async fn pack<T>( &self, fs: &Arc<T>, input_path: &Path, temp_folder: &Path, ) -> Result<PathBuf, String>

Pack a model and return a path to the output directory

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pub async fn alloc_tensor<T: Clone + Default>( &self, shape: Vec<u64>, ) -> Result<Tensor, String>
where InlineAllocator: TypedAlloc<T, Output = InlineTensorStorage>, Tensor: From<TensorStorage<T>>,

Auto Trait Implementations§

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impl !Freeze for Runner

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impl !RefUnwindSafe for Runner

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impl !UnwindSafe for Runner

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impl Send for Runner

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impl Sync for Runner

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impl Unpin for Runner

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impl UnsafeUnpin for Runner

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impl<T> Any for T
where T: 'static + ?Sized,

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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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