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made docker-compose descr. more compact

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Christoph Schranz 2020-02-22 20:34:39 +01:00
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README.md
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@ -12,6 +12,7 @@ toolstack on top of it to enable GPU calculations in the Jupyter notebooks.
1. [Requirements](#requirements) 1. [Requirements](#requirements)
2. [Quickstart](#quickstart) 2. [Quickstart](#quickstart)
2. [Tracing](#tracing)
3. [Deployment](#deployment-in-the-docker-swarm) 3. [Deployment](#deployment-in-the-docker-swarm)
4. [Configuration](#configuration) 4. [Configuration](#configuration)
@ -43,19 +44,19 @@ docker-compose (internally):
docker run -d -p [port]:8888 gpu-jupyter docker run -d -p [port]:8888 gpu-jupyter
``` ```
Alternatively, you can configure the environment in `docker-compose.yml` and run this to deploy Alternatively, you can configure the environment in `docker-compose.yml` and run
the `GPU-Jupyter` via docker-compose (under-the-hood): this to deploy the `GPU-Jupyter` via docker-compose (under-the-hood):
```bash ```bash
./generate_Dockerfile.sh ./generate_Dockerfile.sh
./start-local.sh ./start-local.sh -p 8888 # where -p stands for the port of the service
``` ```
Both options will run *GPU-Jupyter* by default on [localhost:8888](http://localhost:8888) with the default **Both options will run *GPU-Jupyter* by default on [localhost:8888](http://localhost:8888) with the default
password `asdf`. The general usage of the `docker-compose` variant is: password `asdf`**.
```bash
./start-local.sh -p [port] # port must be an integer with 4 or more digits.
``` ## Tracing
With these commands we can see if everything worked well: With these commands we can see if everything worked well:
```bash ```bash