zhiics commented on a change in pull request #5168: [DOCS] Various sphinx related fix. URL: https://github.com/apache/incubator-tvm/pull/5168#discussion_r399855375
########## File path: docs/install/docker.rst ########## @@ -19,28 +19,26 @@ Docker Images ============= -We provide several prebuilt docker images to quickly try out TVM. -These images are also helpful run through TVM demo and tutorials. -You can get the docker images via the following steps. +We provide docker utility scripts to help developers to setup development environment. +They are also helpful run through TVM demo and tutorials. We need `docker <https://docs.docker.com/engine/installation/>`_ and `nvidia-docker <https://github.com/NVIDIA/nvidia-docker/>`_ if we want to use cuda. -First, clone TVM repo to get the auxiliary scripts +First, clone TVM repo or get a binary distribution to get the auxiliary scripts .. code:: bash git clone --recursive https://github.com/apache/incubator-tvm tvm -We can then use the following command to launch a `tvmai/demo-cpu` image. +We can then use the following command to launch a docker image. .. code:: bash - /path/to/tvm/docker/bash.sh tvmai/demo-cpu - -You can also change `demo-cpu` to `demo-gpu` to get a CUDA enabled image. -You can find all the prebuilt images in `<https://hub.docker.com/r/tvmai/>`_ + /path/to/tvm/docker/bash.sh <image-name> +Here the image-name can be a local docker image name, e.g. `tvm.ci_cpu` after you have done +the local build. Or a pre-built third party images (`tvmai/demo-cpu` or `tvmai/ci-gpu`). Review comment: s/images/image ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
