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Merge branch 'feature/containerization' of https://github.com/Unity-Technologies/ml-agents into feature/containerization

/develop-generalizationTraining-TrainerController
eshvk 7 年前
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      docs/Using-Docker.md

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docs/Using-Docker.md


- Ensure that `unity-volume/<environment-name>.x86_64` and `unity-volume/environment-name_Data`. So for example, `<environment_name>` might be `3Dball` and you might want to ensure that `unity-volume/3Dball.x86_64` and `unity-volume/3Dball_Data` are both present in the directory `unity-volume`.
- Make sure the docker engine is running on your machine, then build the docker container by running `docker build -t <image_name> .` . in the top level of the source directory. Replace `<image_name>` by the name of the image that you want to use, e.g. `balance.ball.v0.1`.
- Run the container:

--docker-target-name=unity-volume \
--train --run-id=<run-id>
```
**Notes on argument values**

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