update
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@@ -18,10 +18,20 @@ services:
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kind: gpus
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kind: gpus
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value: 1
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value: 1
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placement:
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placement:
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constraints: [node.platform.os == linux]
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constraints:
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- node.labels.gpu == true
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cap_add:
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cap_add:
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- IPC_LOCK
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- IPC_LOCK
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networks:
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networks:
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default:
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default:
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driver: overlay
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driver: overlay
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# 为节点添加标签:
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# docker node ls
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# docker node update --label-add gpu=true node1
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# docker stack deploy -c docker-compose.yml rdma_stack
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57
finetune/docker-compose_stack2.yml
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57
finetune/docker-compose_stack2.yml
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@@ -0,0 +1,57 @@
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version: '3.8'
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services:
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ubuntu-finetune:
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build:
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context: .
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dockerfile: Dockerfile
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args:
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PYTHON_VERSION: "3.10"
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CUDA_VERSION: "12.1.0"
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PYTORCH_VERSION: "2.3.0"
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TORCHVISION_VERSION: "0.18.0"
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TORCHAUDIO_VERSION: "2.3.0"
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DS_BUILD_OPS: 1
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USE_CUDA: 1
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USE_ROCM: 0
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USE_XPU: 0
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CUDA: cu121
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CUDA_ARCH_LIST: "80;86;89;90"
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SETUPTOOLS_VERSION: "69.5.1"
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DCUTLASS_NVCC_ARCHS: "80;86;89;90;90a"
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DEEPSPEED_VERSION: "master"
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DEEPSPEED_INSTALL_FLAGS: "--allow_sudo"
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volumes:
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- ./src:/bbtft
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- ./id_rsa_finetune:/root/.ssh/id_rsa
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- ./id_rsa.pub:/root/.ssh/id_rsa.pub
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container_name: ubuntu-finetune
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image: hotwa/deepspeed:pt23
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shm_size: '32gb'
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ports:
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- 3228:22
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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- NVIDIA_DRIVER_CAPABILITIES=compute,utility
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- TMPDIR=/var/tmp
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networks:
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- my-custom-bridge
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deploy:
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replicas: 1
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resources:
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reservations:
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generic_resources:
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- discrete_resource_spec:
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kind: nvidia
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value: 1
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placement:
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constraints: [node.labels.gpu == true]
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runtime: nvidia
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cap_add:
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- IPC_LOCK
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devices:
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- /dev/infiniband:/dev/infiniband
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networks:
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my-custom-bridge:
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external: true
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