Added support for docker CPU

backend/Dockerfile_CPU

@@ -0,0 +1,32 @@
+FROM tensorflow/tensorflow:2.9.2
+
+RUN apt-get update && apt-get install -y python3-opencv
+RUN add-apt-repository ppa:ubuntugis/ppa && apt-get update
+RUN apt-get update
+RUN apt-get install -y gdal-bin
+RUN apt-get install -y libgdal-dev
+ENV CPLUS_INCLUDE_PATH=/usr/include/gdal
+ENV C_INCLUDE_PATH=/usr/include/gdal
+
+#install numpy before gdal 
+RUN pip install numpy==1.23.5
+
+# pip install dependencies.
+RUN pip install --global-option=build_ext --global-option="-I/usr/include/gdal" GDAL==`gdal-config --version`
+
+COPY docker/ramp/docker-requirements.txt docker-requirements.txt
+RUN pip install -r docker-requirements.txt
+
+# pip install solaris -- try with tmp-free build
+COPY docker/ramp/solaris /tmp/solaris
+RUN pip install /tmp/solaris --use-feature=in-tree-build
+
+RUN pip install scikit-fmm --use-feature=in-tree-build
+
+RUN pip install setuptools --upgrade 
+
+COPY requirements.txt requirements.txt
+RUN pip install -r requirements.txt
+
+WORKDIR /app
+COPY . /app

docker-compose-cpu.yml

@@ -0,0 +1,76 @@
+version: "3.8"
+
+services:
+  postgres:
+    restart: always
+    image: postgis/postgis
+    container_name: pgsql
+    environment:
+      - POSTGRES_DB=ai
+      - POSTGRES_USER=postgres
+      - POSTGRES_PASSWORD=admin
+    volumes:
+      - ./postgres-data:/var/lib/postgresql/data
+    ports:
+      - "5434:5432"
+
+  redis:
+    image: redis
+    container_name: redis
+    ports:
+      - "6379:6379"
+
+  backend-api:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    container_name: api
+    command: python manage.py runserver 0.0.0.0:8000
+
+    ports:
+      - 8000:8000
+    volumes:
+      - ./backend:/app
+      - ${RAMP_HOME}:/RAMP_HOME
+      - ${TRAINING_WORKSPACE}:/TRAINING_WORKSPACE
+    depends_on:
+      - redis
+      - postgres
+
+  backend-worker:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    container_name: worker
+    command: celery -A aiproject worker --loglevel=INFO --concurrency=1
+
+    volumes:
+      - ./backend:/app
+      - ${RAMP_HOME}:/RAMP_HOME
+      - ${TRAINING_WORKSPACE}:/TRAINING_WORKSPACE
+    depends_on:
+      - backend-api
+      - redis
+      - postgres
+
+  worker-dashboard:
+    image: mher/flower
+    container_name: flower
+    command: celery --broker=redis://redis:6379// flower --address=0.0.0.0 --port=5000
+    ports:
+      - 5500:5000
+    depends_on:
+      - backend-api
+      - redis
+      - backend-worker
+
+  frontend:
+    build:
+      context: ./frontend
+      dockerfile: Dockerfile.frontend
+    container_name: frontend
+    command: npm start  -- --host 0.0.0.0 --port 3000
+    ports:
+      - 3000:3000
+    depends_on:
+      - backend-api

docker-compose.yml

@@ -26,12 +26,7 @@ services:
       dockerfile: Dockerfile
     container_name: api
     command: python manage.py runserver 0.0.0.0:8000
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              capabilities: [gpu]
+
     ports:
       - 8000:8000
     volumes: