Fix compose file for xpu and dockerfile for dcu (#17135)

* Fix compose file for xpu

* Add previleged

* Fix DCU dockerfile

* Add --device

* Fix dcu docker compose

deploy/paddleocr_vl_docker/compose_dcu.yaml

@@ -22,7 +22,7 @@ services:
     restart: unless-stopped
     environment:
       - VLM_BACKEND=${VLM_BACKEND:-vllm}
-    command: /bin/bash -c "paddlex --serve --pipeline /home/paddleocr/pipeline_config_${VLM_BACKEND}.yaml"
+    command: /bin/bash -c "source ~/.bashrc && paddlex --serve --pipeline /home/paddleocr/pipeline_config_${VLM_BACKEND}.yaml --device dcu"
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
     volumes:

deploy/paddleocr_vl_docker/compose_npu.yaml

@@ -11,7 +11,7 @@ services:
     restart: unless-stopped
     environment:
       - VLM_BACKEND=${VLM_BACKEND:-vllm}
-    command: /bin/bash -c "paddlex --serve --pipeline /home/paddleocr/pipeline_config_${VLM_BACKEND}.yaml"
+    command: /bin/bash -c "paddlex --serve --pipeline /home/paddleocr/pipeline_config_${VLM_BACKEND}.yaml --device npu"
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
     volumes:

deploy/paddleocr_vl_docker/compose_xpu.yaml

@@ -7,35 +7,23 @@ services:
     depends_on:
       paddleocr-vlm-server:
         condition: service_healthy
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              device_ids: ["0"]
-              capabilities: [gpu]
     user: root
     restart: unless-stopped
     environment:
       - VLM_BACKEND=${VLM_BACKEND:-vllm}
-    command: /bin/bash -c "paddlex --serve --pipeline /home/paddleocr/pipeline_config_${VLM_BACKEND}.yaml"
+    command: /bin/bash -c "paddlex --serve --pipeline /home/paddleocr/pipeline_config_${VLM_BACKEND}.yaml --device xpu"
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
+    privileged: true
     shm_size: 64G
 
   paddleocr-vlm-server:
     image: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-${VLM_BACKEND}-server:${VLM_IMAGE_TAG_SUFFIX}
     container_name: paddleocr-vlm-server
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              device_ids: ["0"]
-              capabilities: [gpu]
     user: root
     restart: unless-stopped
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
       start_period: 300s
+    privileged: true
     shm_size: 64G

deploy/paddleocr_vl_docker/pipeline.Dockerfile

@@ -41,6 +41,10 @@ WORKDIR /home/paddleocr
 
 USER paddleocr
 
+RUN if [ "${DEVICE_TYPE}" = 'dcu' ]; then \
+        echo 'source /opt/dtk-24.04.1/env.sh' >> "${HOME}/.bashrc"; \
+    fi
+
 ARG BUILD_FOR_OFFLINE=false
 RUN if [ "${BUILD_FOR_OFFLINE}" = 'true' ]; then \
         mkdir -p "${HOME}/.paddlex/official_models" \