DmlExecutionProvider missing with olive-ai installation

[sashidhar540]

I am using a windows laptop with processor AMD Ryzen 7 PRO 7840U w/ Radeon 780M Graphics and 32 GB RAM with DirectX support.

I created a new conda environment and activated the environment using below commands:

conda create -n olive-directml python=3.12

conda activate olive-directml

My python version installed is 3.12.9

First I tried to check whether directml support is present for my device by installing onnxruntime-directml using below command:

pip install onnxruntime-directml

onnxruntime-directml version installed: 1.20.1

I checked the provider and device information using below code:

import onnxruntime as ort
providers = ort.get_available_providers()
print("Available providers:", providers)
print("Device:", ort.get_device())

Output:-

Available providers: ['DmlExecutionProvider', 'CPUExecutionProvider']
Device: CPU-DML

Next when I tried to follow github documentation for olive, and setup olive for Windows DirectML.

https://microsoft.github.io/Olive/getting-started/getting-started.html

I had installed the command:

pip install olive-ai[directml,finetune]

onnxruntime-directml version installed: 1.20.1

Now when I checked the provider and device information using below code:

import onnxruntime as ort
providers = ort.get_available_providers()
print("Available providers:", providers)
print("Device:", ort.get_device())

Output:-

Available providers: ['AzureExecutionProvider', 'CPUExecutionProvider']
Device: CPU

'DmlExecutionProvider' is missing after the olive-ai installation.

Is this DmlExecutionProvider missing is already known issue or am I doing something wrong?

Can I use integrated Radeon 780M GPU of my machine for inferencing using DirectML or not? If I can use, please let me know the steps to follow?

I was able to follow the Olive documentation for CPU and perform inferencing using Olive. But I would like to explore DirectML capabilities of my device as well for inferencing.