reduce image similarly as done with the crf-only one

Dockerfile.delft

@@ -36,6 +36,15 @@ COPY settings.gradle ./
 COPY grobid-home/ ./grobid-home/
 COPY grobid-core/ ./grobid-core/
 COPY grobid-service/ ./grobid-service/
+COPY grobid-trainer/ ./grobid-trainer/
+
+# cleaning unused native libraries before packaging
+RUN rm -rf grobid-home/pdf2xml/lin-32
+RUN rm -rf grobid-home/pdf2xml/mac-64
+RUN rm -rf grobid-home/pdf2xml/win-*
+RUN rm -rf grobid-home/lib/lin-32
+RUN rm -rf grobid-home/lib/win-*
+RUN rm -rf grobid-home/lib/mac-64
 
 RUN ./gradlew clean assemble --no-daemon  --info --stacktrace
 
@@ -76,12 +85,6 @@ RUN rm -rf /opt/grobid/grobid-home/pdf2xml/win-*
 RUN rm -rf /opt/grobid/grobid-home/lib/lin-32
 RUN rm -rf /opt/grobid/grobid-home/lib/win-*
 
-# below to allow logs to be written in the container (not advised for production!)
-# RUN mkdir -p logs
-
-# the following might not be necessary - but should result in faster temp file write than directly in the container
-VOLUME ["/opt/grobid/grobid-home/tmp"]
-
 RUN python3 -m pip install pip --upgrade
 
 # install DeLFT via pypi

doc/Grobid-docker.md

@@ -50,7 +50,7 @@ The process for retrieving and running the image is as follow:
 > docker pull grobid/grobid:${latest_grobid_version}
 ```
 
-- Run the container (note the new version running on 8070, however it will be mapped on the 8080 of your host):
+- Run the container:
 
 ```bash
 > docker run --rm --gpus all --init grobid/grobid:${latest_grobid_version}
@@ -61,7 +61,7 @@ The image will automatically uses the GPU and CUDA version available on your hos
 To specify to use only certain GPUs (see the [nvidia container toolkit user guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html#gpu-enumeration) for more details):
 
 ```bash
-> docker run --rm --gpus '"device=1,2"' --init -p 8070:8080 -p 8071:8081 grobid/grobid:${latest_grobid_version}
+> docker run --rm --gpus '"device=1,2"' --init -p 8080:8070 -p 8081:8071 grobid/grobid:${latest_grobid_version}
 ```
 
 You can run the image on CPU by omitting the `-gpus` parameters. 
@@ -83,7 +83,7 @@ Grobid web services are then available as described in the [service documentatio
 The simplest way to pass a modified configuration to the docker image is to mount the property file `grobid.properties` when running the image. Modify the config file `grobid/grobid-home/config/grobid.properties` according to your requirements on the host machine and mount it when running the image as follow: 
 
 ```bash
-docker run --rm --gpus all --init -p 8070:8080 -p 8071:8081 -v /home/lopez/grobid/grobid-home/config/grobid.properties:/opt/grobid/grobid-home/config/grobid.properties:ro  grobid/grobid:0.6.2-SNAPSHOT
+docker run --rm --gpus all --init -p 8080:8070 -p 8081:8071 -v /home/lopez/grobid/grobid-home/config/grobid.properties:/opt/grobid/grobid-home/config/grobid.properties:ro  grobid/grobid:0.6.2-SNAPSHOT
 ```
 
 You need to use an absolute path to specify your modified `grobid.properties` file.