diff options
author | 2016-04-13 08:26:19 -0700 | |
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committer | 2016-04-13 08:26:19 -0700 | |
commit | 31ea3dbf57d67b32ca1708e7d8cd5fb43e7810b1 (patch) | |
tree | bfd23c39d57a13785c2a125b178cda3d5cccfeca /tensorflow | |
parent | bc5e961e1988fdefff8e8aa062f4ab3066c3a9e5 (diff) |
switch docker links from b.gcr.io to gcr.io (#1911)
Diffstat (limited to 'tensorflow')
-rw-r--r-- | tensorflow/examples/udacity/Dockerfile | 2 | ||||
-rw-r--r-- | tensorflow/g3doc/get_started/os_setup.md | 12 | ||||
-rw-r--r-- | tensorflow/tools/docker/README.md | 10 |
3 files changed, 12 insertions, 12 deletions
diff --git a/tensorflow/examples/udacity/Dockerfile b/tensorflow/examples/udacity/Dockerfile index 9545c376b7..4af441018b 100644 --- a/tensorflow/examples/udacity/Dockerfile +++ b/tensorflow/examples/udacity/Dockerfile @@ -1,4 +1,4 @@ -FROM b.gcr.io/tensorflow/tensorflow:latest +FROM gcr.io/tensorflow/tensorflow:latest MAINTAINER Vincent Vanhoucke <vanhoucke@google.com> RUN pip install scikit-learn RUN rm -rf /notebooks/* diff --git a/tensorflow/g3doc/get_started/os_setup.md b/tensorflow/g3doc/get_started/os_setup.md index 3cd51450a0..18da3bbfe5 100644 --- a/tensorflow/g3doc/get_started/os_setup.md +++ b/tensorflow/g3doc/get_started/os_setup.md @@ -184,11 +184,11 @@ packages on your machine. We provide 4 Docker images: -* `b.gcr.io/tensorflow/tensorflow`: TensorFlow CPU binary image. -* `b.gcr.io/tensorflow/tensorflow:latest-devel`: CPU Binary image plus source +* `gcr.io/tensorflow/tensorflow`: TensorFlow CPU binary image. +* `gcr.io/tensorflow/tensorflow:latest-devel`: CPU Binary image plus source code. -* `b.gcr.io/tensorflow/tensorflow:latest-gpu`: TensorFlow GPU binary image. -* `b.gcr.io/tensorflow/tensorflow:latest-devel-gpu`: GPU Binary image plus source +* `gcr.io/tensorflow/tensorflow:latest-gpu`: TensorFlow GPU binary image. +* `gcr.io/tensorflow/tensorflow:latest-devel-gpu`: GPU Binary image plus source code. We also have tags with `latest` replaced by a released version (e.g., `0.8.0rc0-gpu`). @@ -209,7 +209,7 @@ After Docker is installed, launch a Docker container with the TensorFlow binary image as follows. ```bash -$ docker run -it b.gcr.io/tensorflow/tensorflow +$ docker run -it gcr.io/tensorflow/tensorflow ``` If you're using a container with GPU support, some additional flags must be @@ -219,7 +219,7 @@ include a in the repo with these flags, so the command-line would look like ```bash -$ path/to/repo/tensorflow/tools/docker/docker_run_gpu.sh b.gcr.io/tensorflow/tensorflow:gpu +$ path/to/repo/tensorflow/tools/docker/docker_run_gpu.sh gcr.io/tensorflow/tensorflow:gpu ``` You can now [test your installation](#test-the-tensorflow-installation) within the Docker container. diff --git a/tensorflow/tools/docker/README.md b/tensorflow/tools/docker/README.md index 2d7a31186a..fba6c3144a 100644 --- a/tensorflow/tools/docker/README.md +++ b/tensorflow/tools/docker/README.md @@ -16,14 +16,14 @@ quick links here: We currently maintain three Docker container images: -* `b.gcr.io/tensorflow/tensorflow`, which is a minimal VM with TensorFlow and +* `gcr.io/tensorflow/tensorflow`, which is a minimal VM with TensorFlow and all dependencies. -* `b.gcr.io/tensorflow/tensorflow-full`, which contains a full source +* `gcr.io/tensorflow/tensorflow-full`, which contains a full source distribution and all required libraries to build and run TensorFlow from source. -* `b.gcr.io/tensorflow/tensorflow-full-gpu`, which is the same as the previous +* `gcr.io/tensorflow/tensorflow-full-gpu`, which is the same as the previous container, but built with GPU support. ## Running the container @@ -31,7 +31,7 @@ We currently maintain three Docker container images: Each of the containers is published to a Docker registry; for the non-GPU containers, running is as simple as - $ docker run -it -p 8888:8888 b.gcr.io/tensorflow/tensorflow + $ docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow For the container with GPU support, we require the user to make the appropriate NVidia libraries available on their system, as well as providing mappings so @@ -40,7 +40,7 @@ accomplished via $ export CUDA_SO=$(\ls /usr/lib/x86_64-linux-gnu/libcuda.* | xargs -I{} echo '-v {}:{}') $ export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}') - $ docker run -it -p 8888:8888 $CUDA_SO $DEVICES b.gcr.io/tensorflow/tensorflow-devel-gpu + $ docker run -it -p 8888:8888 $CUDA_SO $DEVICES gcr.io/tensorflow/tensorflow-devel-gpu Alternately, you can use the `docker_run_gpu.sh` script in this directory. |