onnxruntime-node 1.16.0 dml and cuda backend bug.

[MountainAndMorning]

Describe the issue

It seems the onnxruntime-node 1.16.0 add support for the dml and cuda backend. However, when I try this library on the electron backend, a 'no available backend found' error found.

electron: 24.4.0
noderuntime-node 1.16.0
CUDA_PATH: C:\Program Files \NVIDIA GPU Computing Toolkit\CUDA\v11.3

To reproduce

import * as ort from 'onnxrunbtime-node'

let session = undefined
export async function openSession (modelBytes) {
    session = await ort.InferenceSession.create(modelBytes, {executionProviders: ['dml', 'cuda']})
}

Urgency

Yes.

Platform

Windows

OS Version

Windows 10

ONNX Runtime Installation

Released Package

ONNX Runtime Version or Commit ID

"onnxruntime-node": "^1.16.0",

ONNX Runtime API

JavaScript

Architecture

X64

Execution Provider

CUDA, DirectML

Execution Provider Library Version

CUDA v11.3

[MountainAndMorning]

I think so. In fact, I also tried the https://github.com/dakenf/onnxruntime-node-gpu library published by @dakenf. However, it doesn't work on my device either.

[dakenf]

It seems the package code was not updated. See lib/index.ts here https://www.npmjs.com/package/onnxruntime-node?activeTab=code and here https://github.com/microsoft/onnxruntime/blob/main/js/node/lib/index.ts

I haven't updated my library since 14.0.0, so if you want it to work with cuda you'll need to use onnxruntime_providers_shared.dll and onnxruntime_providers_cuda.dll from that release. DirectML should work out of the box.

The was also an issue with passing session options to the runtime when you create the session from a Buffer. Please try it with my package and pass a filename instead of model contents

Also, in my lib DML provider was called directml as opposed to dml in the official release

[snnn]

The code was finished but the pipeline was not yet. The @onnxruntime-es team needs more time to work on the yaml files.

[MountainAndMorning]

Thanks for your help. Look forward to the update of the package code @onnxruntime-es.
Another question. Is there any progress for the mps provider on the macOS?

[MountainAndMorning]

Is there any progress for the npm package?@snnn

[snnn]

Not started yet. I'm preparing 1.16.1 release.

[MountainAndMorning]

Thanks for your reply. Look forward to the new release.

[divideconcept]

Is there any progress for the mps provider on the macOS?

@MountainAndMorning where have you heard of mps rumors ? Is there a specific reason you're asking for it ?

I find the coremlprovider pretty limited on macOS, as it can't handle tensor size bigger than 16384, which is very limiting when processing for instance audio signals. Hopefully a mps provider could fix that, but I haven't heard of any efforts in that area ?

[MountainAndMorning]

I haven't heard any relevant rumors, I just want to ask about gpu support. Are you using coreml provider in onnxruntime-node?

[divideconcept]

I am for some models, and then it provides a x4 speed boost over CPU (on a M1 macbook air), but it only works with very few models. As soon as things gets too complicated, or tensor size a little too big, then I have to fallback to CPU.