130 lines
4.7 KiB
YAML
130 lines
4.7 KiB
YAML
{{- if eq (int .Values.workerSize) 1 }}
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: {{ .Release.Name }}
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spec:
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replicas: {{ .Values.replicaCount }}
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selector:
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matchLabels:
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app: {{ .Release.Name }}
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template:
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metadata:
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labels:
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app: {{ .Release.Name }}
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spec:
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initContainers:
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# 模型下载作为第一个 initContainer
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- name: download-model
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image: {{ .Values.model.download.image }}
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imagePullPolicy: IfNotPresent
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env:
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- name: HF_ENDPOINT
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value: https://hf-mirror.com
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- name: HUGGING_FACE_HUB_TOKEN
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value: {{ .Values.model.huggingfaceToken }}
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command:
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- sh
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- -c
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- |
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MODEL_NAME=$(basename "{{ .Values.model.huggingfaceName }}")
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DEST_DIR="{{ .Values.model.localMountPath }}/Weight/$MODEL_NAME"
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# DEST_DIR="{{ .Values.model.localMountPath }}/{{ .Values.model.huggingfaceName }}"
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# 检查模型是否存在，不存在则下载
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echo "DEST_DIR= $DEST_DIR"
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if [ ! -f "$DEST_DIR/config.json" ]; then
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ls -l {{ .Values.model.localMountPath }}
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echo "Downloading model {{ .Values.model.huggingfaceName }} to $DEST_DIR"
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wget https://hf-mirror.com/hfd/hfd.sh
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chmod a+x hfd.sh
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apt update && apt upgrade
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apt install aria2 -y
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./hfd.sh {{ .Values.model.huggingfaceName }} --local-dir "$DEST_DIR"
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# huggingface-cli download {{ .Values.model.huggingfaceName }} --local-dir "$DEST_DIR"
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else
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echo "Model already exists at $DEST_DIR"
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fi
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volumeMounts:
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- name: weight-volume
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mountPath: {{ .Values.model.localMountPath }}
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containers:
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- name: vllm-pod
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image: {{ .Values.vllm.image }}
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imagePullPolicy: IfNotPresent
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env:
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- name: HUGGING_FACE_HUB_TOKEN
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value: {{ .Values.vllm.huggingfaceToken }}
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- name: RAY_DEDUP_LOGS
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value: "0"
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command:
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- sh
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- -c
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#args:
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# {{- if .Values.command }}
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# - {{ .Values.command | quote }}
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# {{- else }}
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# - |
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# MODEL_NAME=$(basename '{{ .Values.model.huggingfaceName }}');
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# MODEL_PATH='{{ .Values.model.localMountPath }}/Weight/'$MODEL_NAME;
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# # 注意：这里引用变量时不再使用引号包围整个命令块
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# python3 -m vllm.entrypoints.openai.api_server \
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# --port 8080 \
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# --model $MODEL_PATH \
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# --tensor-parallel-size {{ .Values.resources.gpuLimit }} \
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# --pipeline_parallel_size {{ .Values.workerSize }} \
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# --trust_remote_code
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# {{- end }}
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- "
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MODEL_NAME=$(basename '{{ .Values.model.huggingfaceName }}');
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MODEL_PATH='{{ .Values.model.localMountPath }}/Weight/'$MODEL_NAME;
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python3 -m vllm.entrypoints.openai.api_server --port 8080 --model $MODEL_PATH --tensor-parallel-size {{ .Values.resources.gpuLimit }} --pipeline_parallel_size {{ .Values.workerSize }} --trust_remote_code"
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resources:
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limits:
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nvidia.com/gpu: "{{ .Values.resources.gpuLimit }}"
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memory: {{ .Values.resources.memoryLimit }}
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ephemeral-storage: 10Gi
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requests:
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ephemeral-storage: 10Gi
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cpu: {{ .Values.resources.cpuRequest }}
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ports:
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- containerPort: 8080
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name: http
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readinessProbe:
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#tcpSocket:
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httpGet:
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path: /health
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port: 8080
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initialDelaySeconds: 120
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periodSeconds: 20
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timeoutSeconds: 5
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volumeMounts:
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- mountPath: /dev/shm
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name: dshm
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- name: weight-volume
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mountPath: {{ .Values.model.localMountPath }}
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volumes:
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- name: dshm
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emptyDir:
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medium: Memory
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sizeLimit: {{ .Values.resources.shmSize }}
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- name: weight-volume
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persistentVolumeClaim:
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claimName: {{ .Release.Name }}-pvc-model
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# - name: weight-volume
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# nfs:
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# path: "/volume1/Dataset/PVStore/lab-data-model-pvc-c0beeab1-6dd5-4c6a-bd2c-6ce9e114c25e/Weight"
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# server: "10.6.80.11"
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{{- with .Values.nodeSelector }}
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nodeSelector:
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{{- toYaml . | nindent 8 }}
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{{- end }}
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{{- with .Values.affinity }}
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affinity:
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{{- toYaml . | nindent 8 }}
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{{- end }}
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{{- with .Values.tolerations }}
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tolerations:
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{{- toYaml . | nindent 8 }}
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{{- end }}
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{{- end }}
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