I have a problem. I have the following commands.
docker pull tensorflow/serving
docker run -it -v \folder\model:/model-p 8601:8601 --entrypoint /bin/bash tensorflow/serving
tensorflow_model_server --rest_api_port=8601 --model_name=model --model_base_path=/model/
I would like to add these to a dockerfile
and to a docker-compose
.yml. The problem is that the models
are under the following folder structure. So I would have to go back one folder and into another. How exactly do I make it all work?
folder structure
folder
├── model # should be copied to \model
│ └── 1
│ └── ...
│ └── 2
│ └── ...
├── server
│ └── Dockerfile
│ └── docker-compose.yml
FROM tensorflow/serving
services:
tfserving:
container_name: tfserving
image: tensorflow/serving
ports:
- "8601:8601"
volumes:
- \folder\model
CodePudding user response:
Dockerfile (name it with capital D so it's recognized by docker-compose with just . (dot) since it's in the same folder):
FROM tensorflow/serving
EXPOSE 8601
RUN tensorflow_model_server --rest_api_port=8601 --model_name=model --model_base_path=/model/
docker-compose.yml:
version: '3'
services:
tfserving:
container_name: tfserving
build: .
ports:
- "8601:8601"
volumes:
- ../model:/models/model
environment:
- TENSORFLOW_SERVING_MODEL_NAME=model