# Setup platform project name, directory and architecture
export PROJECT_NAME=dd_platform
export DD_PLATFORM=$HOME/deepdetect
export ARCH=cpu # gpu also available
# Install platform repository
git clone https://github.com/jolibrain/dd_platform_docker.git \
${DD_PLATFORM}
# Go to directory
cd ${DD_PLATFORM}/code/${ARCH}/
# Start platform docker containers
CURRENT_UID=$(id -u):$(id -g) MUID=$(id -u) \
docker-compose -p $PROJECT_NAME up -d
# Go to http://localhost:1912
If you need to connect a new DeepDetect server to the platform,
you must modify the nginx configuration to access to this server,
and the platform-ui configuration to update the UI.
Set a new upstream in the http section:
upstream UPSTREAM_NAME {
least_conn;
server DD_HOST:DD_PORT max_fails=3 fail_timeout=30s;
}
Set a new location in the server section:
location ~ /api/SERVER_NAME/(?<url>.*) {
proxy_pass http://UPSTREAM_NAME/$url$is_args$args;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_cache_bypass $http_upgrade;
}
In deepdetect.servers array, add the following item:
{
"name": "SERVER_NAME",
"settings": {
"path": "/api/SERVER_NAME",
"isWritable": true
}
}
The flag isWritable will allow you to create and delete services on this server
from the platform_ui web interface.
In order to monitor a GPU, you'll need to modify the platform_ui config file
to update the interface, and the nginx config to let the interface access it.
Set a new upstream in the http section:
upstream gpu_stat_GPU_NAME {
least_conn;
server GPU_STATS_HOST:GPU_STATS_PORT max_fails=3 fail_timeout=30s;
}
Usually, GPU_STATS_PORT is 12345
Set a new location in the server section:
location ~ /gpu/ENDPOINT {
proxy_pass http://gpu_stat_GPU_NAME/$url$is_args$args;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_cache_bypass $http_upgrade;
}
In gpuInfo.servers array, add the following item:
{
"name": "GPU_NAME",
"url": "/gpu/ENDPOINT"
}
Docker-compose uses the latest tag for all docker images that correspond to
the latest stable version.
You can select the wanted version with these following environment variables:
DD_SERVER_IMAGE=gpu_torch
DD_SERVER_TAG=v0.14.0
DD_PLATFORM_UI_TAG=latest
DD_JUPYTER_TAG=latest
DD_FILEBROWSER_TAG=latest
You can add to deepdetect container of code/gpu/docker-compose.yml:
ports:
- "127.0.0.0:12345:8080"
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