openvinotoolkit / openvinotoolkit/docker_ci

Running linux container from windows host with GPU support

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Python
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Description

I would like to run a Linux-based container image (currently tried openvino_cgvh_data_dev_2021.4.2) from a Windows host and would like to run inference on GPU.

I tried passing --device /dev/dri which resulted in:

docker: Error response from daemon: error gathering device information while adding custom device "/dev/dri": no such file or directory.

I also tried passing --gpus=all which allowed me to run the container, but as soon as I tried one of the demos with -d GPU I got the following:

###################################################
Run Inference Engine classification sample
Run ./classification_sample_async -d GPU -i /opt/intel/openvino/deployment_tools/demo/car.png -m /root/openvino_models/ir/public/squeezenet1.1/FP16/squeezenet1.1.xml
...
[ INFO ] Device info:
[ ERROR ] Failed to create plugin /opt/intel/openvino/deployment_tools/inference_engine/lib/intel64/libclDNNPlugin.so for device GPU
Please, check your environment
[CLDNN ERROR]. clGetPlatformIDs error -1001
Error on or near line 217; exiting with status 1

Is it possible to map the GPU from windows (host) to linux (container)?
Thanks in advance.

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Research direction

Start by reproducing the reported commands with the openvino_cgvh_data_dev_2021.4.2 image on a Windows host, comparing the /dev/dri and --gpus=all failures. Check the Docker and OpenVINO GPU setup involved; done means establishing a supported configuration or clearly documenting that this host/container combination cannot provide GPU inference.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, linux
Domain
devops, infrastructure, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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