onnxruntime/js/node/src/inference_session_wrap.h
Arthur Islamov c262879214
Added DML and CUDA provider support in onnxruntime-node (#16050)
### Description
I've added changes to support CUDA and DML (only on Windows, on other
platforms it will throw an error)



### Motivation and Context
It fixes this feature request
https://github.com/microsoft/onnxruntime/issues/14127 which is tracked
here https://github.com/microsoft/onnxruntime/issues/14529

I was working on StableDiffusion implementation for node.js and it is
very slow on CPU, so GPU support is essential.

Here is a working demo with a patched and precompiled version
https://github.com/dakenf/stable-diffusion-nodejs

---------
2023-08-25 16:57:06 -07:00

75 lines
2.2 KiB
C++

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#pragma once
#include "onnxruntime_cxx_api.h"
#include <memory>
#include <napi.h>
// class InferenceSessionWrap is a N-API object wrapper for native InferenceSession.
class InferenceSessionWrap : public Napi::ObjectWrap<InferenceSessionWrap> {
public:
static Napi::Object Init(Napi::Env env, Napi::Object exports);
InferenceSessionWrap(const Napi::CallbackInfo &info);
private:
/**
* [sync] list supported backend list
* @returns array with objects { "name": "cpu", requirementsInstalled: true }
*/
static Napi::Value ListSupportedBackends(const Napi::CallbackInfo &info);
/**
* [sync] create the session.
* @param arg0 either a string (file path) or a Uint8Array
* @returns nothing
* @throw error if status code != 0
*/
Napi::Value LoadModel(const Napi::CallbackInfo &info);
// following functions have to be called after model is loaded.
/**
* [sync] get input names.
* @param nothing
* @returns a string array.
* @throw nothing
*/
Napi::Value GetInputNames(const Napi::CallbackInfo &info);
/**
* [sync] get output names.
* @param nothing
* @returns a string array.
* @throw nothing
*/
Napi::Value GetOutputNames(const Napi::CallbackInfo &info);
/**
* [sync] run the model.
* @param arg0 input object: all keys must present, value is object
* @param arg1 output object: at least one key must present, value can be null.
* @returns an object that every output specified will present and value must be object
* @throw error if status code != 0
*/
Napi::Value Run(const Napi::CallbackInfo &info);
// private members
// persistent constructor
static Napi::FunctionReference constructor;
// session objects
bool initialized_;
std::unique_ptr<Ort::Session> session_;
std::unique_ptr<Ort::RunOptions> defaultRunOptions_;
// input/output metadata
std::vector<std::string> inputNames_;
std::vector<ONNXType> inputTypes_;
std::vector<ONNXTensorElementDataType> inputTensorElementDataTypes_;
std::vector<std::string> outputNames_;
std::vector<ONNXType> outputTypes_;
std::vector<ONNXTensorElementDataType> outputTensorElementDataTypes_;
};