Created
July 15, 2016 21:08
-
-
Save revilokeb/3940c2bbdcf9f25dc4eb809d5b51a220 to your computer and use it in GitHub Desktop.
Tensorflow Serving with CUDA 7.5 / cuDNN5 on Docker serving inception v3, query with client from within docker and from host
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#docker, start with port 9000 as in TF serving example on old commit https://gist.github.com/revilokeb/02894302701fcea7ef4e85a92514e246 | |
nvidia-docker run --rm -ti -p 9000 -v /myhosthome:/mydockerhome tf_serving_old_commit_cuda7.5_cudnn5:latest bash | |
#docker, upgrade six | |
sudo pip install --upgrade six | |
#docker, install grpcio | |
sudo pip install grpcio | |
#docker, download inception-v3 pre-trained model and export (https://tensorflow.github.io/serving/serving_inception.html) | |
curl -O http://download.tensorflow.org/models/image/imagenet/inception-v3-2016-03-01.tar.gz //obtain inception 3 pre-trained | |
tar xzf inception-v3-2016-03-01.tar.gz | |
bazel-bin/tensorflow_serving/example/inception_export --checkpoint_dir=inception-v3 --export_dir=inception-export | |
#docker, start inception server | |
cd serving | |
bazel-bin/tensorflow_serving/example/inception_inference --port=9000 inception-export &> inception_log & //starting inception | |
#docker, run client from within docker | |
bazel-bin/tensorflow_serving/example/inception_client --server=localhost:9000 --image=/mydockerhome/path/to/image | |
#now run client from host (or any other IP) | |
#host, check binding (https://docs.docker.com/engine/userguide/networking/default_network/binding/) | |
sudo iptables -t nat -L -n //from Chain DOCKER note binding address such as e.g. 172.17.0.2 | |
#host, use compiled inception client on host (!) to query server running on docker | |
bazel-bin/tensorflow_serving/example/inception_client --server=172.17.0.2:9000 --image=/myhosthome/path/to/image |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment