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Diffstat (limited to 'tensorflow/tools/docker/README.md')
| -rw-r--r-- | tensorflow/tools/docker/README.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/tools/docker/README.md b/tensorflow/tools/docker/README.md index e94b11e4f2..f7ec66d933 100644 --- a/tensorflow/tools/docker/README.md +++ b/tensorflow/tools/docker/README.md @@ -38,7 +38,7 @@ NVidia libraries available on their system, as well as providing mappings so that the container can see the host's GPU. For most purposes, this can be accomplished via - $ export CUDA_SO=$(\ls /usr/lib/x86_64-linux-gnu/libcuda* | xargs -I{} echo '-v {}:{}') + $ 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 |