Troubleshooting#

Humanoid Imitation Learning#

OpenVINO can’t detect GPU device
```
python3 -c "from openvino import Core; ie = Core(); print(ie.available_devices)"
['CPU']
```
Please firstly make sure you have installed the firmware and driver for GPU. If you are still encountering this issue:
```
export OCL_ICD_VENDORS=/etc/OpenCL/vendors
```

MESA: warning: Driver does not support the 0x7d51 PCI ID

MESA: warning: driver does not support the 0x7d51 PCI ID.
DRI3 not available

Please update mesa to fix this issue.

sudo apt update
sudo apt install mesa-utils libgl1-mesa-dri libglx-mesa0 libigc2

IPEX workloads are incompatible with the NPU driver

RuntimeError: Native API failed. Native API returns: -1102 (PI_ERROR_UNINITIALIZED) -1102 (PI_ERROR_UNINITIALIZED)

To run IPEX workloads, please uninstall the NPU debs package installed as according to NPU firmware.

sudo dpkg --purge --force-remove-reinstreq intel-driver-compiler-npu intel-fw-npu intel-level-zero-npu

DepthAnythingV2 checkpoint download failed

Please modify the following download link in the script <Depth-Anything-ONNX_project_dir>/depth_anything_v2/config.py.

Encoder.vitb: {
    None: "https://hf-mirror.com/depth-anything/Depth-Anything-V2-Base/resolve/main/depth_anything_v2_vitb.pth?download=true",
    ..
},

OpenVINO inference failed

If you encounter some errors when running OpenVINO inference of models from Model Tutorials, please check the OpenVINO version used for model conversion and the runtime version used for inference. The OpenVINO version used for model conversion should be the same as the runtime version used for inference. Otherwise, unexpected errors may occur, especially if the model is converted using a newer version and the runtime is an older version.

You can check the OpenVINO version used for model conversion at the end of the OpenVINO IR file *.xml. For example:
```
...
 <rt_info>
        <Runtime_version value="2025.0.0-17942-1f68be9f594-releases/2025/0" />
        <conversion_parameters>
                <framework value="pytorch" />
                <is_python_object value="True" />
        </conversion_parameters>
</rt_info>
...
```
IOMMU device assigned failed when ACRN hypervisor boot up
```
failed to unassign iommu device!
```
1. Please check VT-d Enabled in BIOS, refer to the BIOS configuration listed in OS Setup.
2. Please check all PCIe devices plugged in have been enabled correctly.
Docker pull time out

If your network environment requires proxy, please refer to the docker documentation website to configure proxy settings.
Performance of iGPU degrade when passthrough to VM on ACRN

When passthrough the iGPU to Guest VM based on ACRN, the performance of iGPU running AI models will degrade compared to the performance on native.

Stationary Robot Vision & Control#

Inference on GPU does not work?

sudo -E apt install clinfo
clinfo

Verify that the GPU is part of supported platforms:

Number of platforms                             1
Platform Name                                   Intel(R) OpenCL HD Graphics
Platform Vendor                                 Intel(R) Corporation
Platform Version                                OpenCL 3.0
Platform Profile                                FULL_PROFILE

Robot does not move?

First start the motion controller, then press play on the pendant.
Robot arm does not go accurately pick up the object?

Check Camera pose calibration

Troubleshooting#

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Humanoid Imitation Learning#

Stationary Robot Vision & Control#

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