81 lines
2.4 KiB
YAML
81 lines
2.4 KiB
YAML
x-defaults: &defaults
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restart: unless-stopped
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logging:
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driver: json-file
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options:
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max-size: 100m
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max-file: '3'
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services:
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ray-head:
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<<: *defaults
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image: ${GLOBAL_REGISTRY:-}rayproject/ray:${RAY_VERSION:-2.42.1-py312}
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command: ray start --head --dashboard-host=0.0.0.0 --port=6379 --block
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ports:
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- '${RAY_DASHBOARD_PORT_OVERRIDE:-8265}:8265'
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- '${RAY_CLIENT_PORT_OVERRIDE:-10001}:10001'
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- '${RAY_GCS_PORT_OVERRIDE:-6379}:6379'
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environment:
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TZ: ${TZ:-UTC}
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RAY_NUM_CPUS: ${RAY_HEAD_NUM_CPUS:-4.0}
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RAY_MEMORY: ${RAY_HEAD_MEMORY:-8589934592}
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volumes:
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- ray_storage:/tmp/ray
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deploy:
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resources:
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limits:
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cpus: ${RAY_HEAD_CPU_LIMIT:-4.0}
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memory: ${RAY_HEAD_MEMORY_LIMIT:-8G}
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reservations:
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cpus: ${RAY_HEAD_CPU_RESERVATION:-0.1}
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memory: ${RAY_HEAD_MEMORY_RESERVATION:-4G}
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healthcheck:
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test: [CMD, wget, --no-verbose, --tries=1, --spider, 'http://localhost:8265/']
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 30s
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ray-worker-1:
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<<: *defaults
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image: ${GLOBAL_REGISTRY:-}rayproject/ray:${RAY_VERSION:-2.42.1-py312}
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command: ray start --address=ray-head:6379 --block
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depends_on:
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ray-head:
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condition: service_healthy
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environment:
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TZ: ${TZ:-UTC}
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RAY_NUM_CPUS: ${RAY_WORKER_NUM_CPUS:-2.0}
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RAY_MEMORY: ${RAY_WORKER_MEMORY:-4294967296}
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deploy:
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resources:
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limits:
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cpus: ${RAY_WORKER_1_CPU_LIMIT:-2.0}
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memory: ${RAY_WORKER_1_MEMORY_LIMIT:-4G}
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reservations:
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cpus: ${RAY_WORKER_1_CPU_RESERVATION:-0.1}
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memory: ${RAY_WORKER_1_MEMORY_RESERVATION:-2G}
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ray-worker-2:
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<<: *defaults
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image: ${GLOBAL_REGISTRY:-}rayproject/ray:${RAY_VERSION:-2.42.1-py312}
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command: ray start --address=ray-head:6379 --block
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depends_on:
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ray-head:
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condition: service_healthy
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environment:
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TZ: ${TZ:-UTC}
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RAY_NUM_CPUS: ${RAY_WORKER_NUM_CPUS:-2.0}
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RAY_MEMORY: ${RAY_WORKER_MEMORY:-4294967296}
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deploy:
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resources:
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limits:
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cpus: ${RAY_WORKER_2_CPU_LIMIT:-2.0}
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memory: ${RAY_WORKER_2_MEMORY_LIMIT:-4G}
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reservations:
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cpus: ${RAY_WORKER_2_CPU_RESERVATION:-0.1}
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memory: ${RAY_WORKER_2_MEMORY_RESERVATION:-2G}
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volumes:
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ray_storage:
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