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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ This section presents how to run a preliminary version of an EDDL training opera
2. Pull the demonstrator image by running: `docker pull bscppc/compss-deephealth-demo`
3. Download the docker-compose.yml file provided and store it in a separate directory named **deephealth**: `git clone https://github.com/deephealthproject/docker-compss-runtime`
4. Run: `docker-compose up -d --scale compss-worker=4`. This will deploy five containers, four of which will take on the role of COMPSs workers, while the remaining will be used as the COMPSs master.
5. Access the COMPSs master container by running: `docker exec -it deephealth_compss-master_1 bash`. This will open a bash session inside the container, in the directory with the EDDL application and the needed COMPSs configuration options.
5. Access the COMPSs master container by running: `docker-compose exec compss-master bash`. This will open a bash session inside the container, in the directory with the EDDL application and the needed COMPSs configuration options.
6. Enter the pyeddl directory: `cd pyeddl/third_party/compss_runtime`
7. Launch COMPSs by running the following command: `runcompss --lang=python --python_interpreter=python3 --project=linux-based/project.xml --resources=linux-based/resources.xml eddl_train_batch_compss.py`
8. Once the application finishes correctly, the COMPSs master container can be exited. The containers can be destroyed by running, in the same directory: `docker-compose down -v`
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