### Running an official image
-You can run one of the automatic [builds](https://hub.docker.com/r/bvlc/caffe)
-like this:
+You can run one of the automatic [builds](https://hub.docker.com/r/bvlc/caffe). E.g. for the CPU version:
-`docker run -ti bvlc/caffe caffe --version`
+`docker run -ti bvlc/caffe:cpu caffe --version`
or for GPU support (You need a CUDA 8.0 capable driver and
[nvidia-docker](https://github.com/NVIDIA/nvidia-docker)):
You can change this using flags, like user (-u), current directory, and volumes (-w and -v).
E.g. this behaves like the usual caffe executable:
-`docker run --rm -u $(id -u):$(id -g) -v $(pwd):$(pwd) -w $(pwd) bvlc/caffe caffe train --solver=example_solver.prototxt`
+`docker run --rm -u $(id -u):$(id -g) -v $(pwd):$(pwd) -w $(pwd) bvlc/caffe:cpu caffe train --solver=example_solver.prototxt`
Containers can also be used interactively, specifying e.g. `bash` or `ipython`
instead of `caffe`.
```
-docker run -ti bvlc/caffe ipython
+docker run -ti bvlc/caffe:cpu ipython
import caffe
...
```
Examples:
-`docker build -t caffe cpu`
+`docker build -t caffe:cpu cpu`
`docker build -t caffe:gpu gpu`
You can also build Caffe and run the tests in the image:
-`docker run -ti caffe bash -c "cd /opt/caffe/build; make runtest"`
+`docker run -ti caffe:cpu bash -c "cd /opt/caffe/build; make runtest"`