如何修改docker容器的shmsize共享内存大小

• 报错原因
• 解决方法：

在跑train时提示如下

RuntimeError: DataLoader worker (pid 6209) is killed by signal: Bus error. 
It is possible that dataloader's workers are out of shared memory. 
Please try to raise your shared memory limit.

1. 停止docker

// 停止docker服务
systemctl stop docker

2. 找到要修改的容器ID

gpu@gpu-workstation:~$ docker ps -a
ConTAINER ID   IMAGE                 COMMAND                  CREATED         STATUS              PORTS                                                 NAMES
71050781f79d   kaggle                "--shm-size 8G"          5 minutes ago   Created             6006/tcp, 0.0.0.0:8890->8888/tcp, :::8890->8888/tcp   kaggle
485f0e25b37c   lab_vm                "jupyter notebook --…"   3 weeks ago     Up about a minute   6006/tcp, 0.0.0.0:8889->8888/tcp, :::8889->8888/tcp   lab_vm
209fad8c7a0d   ufoym/deepo:latest    "jupyter notebook --…"   3 weeks ago     Up 4 hours          6006/tcp, 0.0.0.0:8888->8888/tcp, :::8888->8888/tcp   recursing_golick
8dc30befdfa8   portainer/portainer   "/portainer"             3 weeks ago     Up 4 hours          0.0.0.0:8000->9000/tcp, :::8000->9000/tcp             portainerUI
gpu@gpu-workstation:~$ ^C
gpu@gpu-workstation:~$ docker inspect 485f0e25b37c | grep Id
        "Id": "485f0e25b37cbe2bc09312356e2ad23a63ae237f6ea74cf084e298a0f3fd5f55",

3. 找到hostconfig.json文件

gpu@gpu-workstation:/$ cd /home/docker
gpu@gpu-workstation:/home/docker$ ls
buildkit  containers  image  network  overlay2  plugins  runtimes  swarm  tmp  trust  volumes
gpu@gpu-workstation:/home/docker$ cd containers
gpu@gpu-workstation:/home/docker/containers$ ls
209fad8c7a0db43a836c5a8e6835cfa4938be23f43884e1f34459d6d45d3970a  71050781f79d36864b2b7bb42dc2b60b17c5dc8eedce7426e96ad8ee1d4c546b
485f0e25b37cbe2bc09312356e2ad23a63ae237f6ea74cf084e298a0f3fd5f55  8dc30befdfa8c6b5606f3fa3f3d430af2b657817569c3ff0b2c888714b9ed719
gpu@gpu-workstation:/home/docker/containers/485f0e25b37cbe2bc09312356e2ad23a63ae237f6ea74cf084e298a0f3fd5f55$ ls
485f0e25b37cbe2bc09312356e2ad23a63ae237f6ea74cf084e298a0f3fd5f55-json.log  checkpoints  config.v2.json  hostconfig.json  hostname  hosts  mounts  resolv.conf  resolv.conf.hash

4. 修改shmsize 为： ShmSize":8259460864

gpu@gpu-workstation:/home/docker/containers/485f0e25b37cbe2bc09312356e2ad23a63ae237f6ea74cf084e298a0f3fd5f55$ vim hostconfig.json


{"Binds":["dl-vol:/home/common-dir"],"ContainerIDFile":"","LogConfig":{"Type":"json-file","Config":{"max-file":"1","max-size":"50m"}},"NetworkMode":"default","PortBindings":{"8888/tcp":[{"HostIp":"","HostPort":"8889"}]},"RestartPolicy":{"Name":"no","MaximumRetryCount":0},"AutoRemove":false,"VolumeDriver":"","VolumesFrom":null,"CapAdd":null,"CapDrop":null,"CgroupnsMode":"host","Dns":[],"DnsOptions":[],"DnsSearch":[],"ExtraHosts":null,"GroupAdd":null,"IpcMode":"private","Cgroup":"","links":null,"OomScoreAdj":0,"PidMode":"","Privileged":false,"PublishAllPorts":false,"ReadonlyRootfs":false,"SecurityOpt":null,"UTSMode":"","UsernsMode":"","ShmSize":8259460864,"Runtime":"nvidia","ConsoleSize":[0,0],"Isolation":"","CpuShares":0,"Memory":0,"NanoCpus":0,"CgroupParent":"","BlkioWeight":0,"BlkioWeightDevice":[],"BlkioDeviceReadBps":null,"BlkioDeviceWriteBps":null,"BlkioDeviceReadIOps":null,"BlkioDeviceWriteIOps":null,"CpuPeriod":0,"CpuQuota":0,"CpuRealtimePeriod":0,"CpuRealtimeRuntime":0,"CpusetCpus":"","CpusetMems":"","Devices":[],"DeviceCgroupRules":null,"DeviceRequests":null,"KernelMemory":0,"KernelMemoryTCP":0,"MemoryReservation":0,"MemorySwap":0,"MemorySwappiness":null,"OomKillDisable":false,"PidsLimit":null,"Ulimits":null,"CpuCount":0,"CpuPercent":0,"IOMaximumIOps":0,"IOMaximumBandwidth":0,"MaskedPaths":["/proc/asound","/proc/acpi","/proc/kcore","/proc/keys","/proc/latency_stats","/proc/timer_list","/proc/timer_stats","/proc/sched_debug","/proc/scsi","/sys/firmware"],"ReadonlyPaths":["/proc/bus","/proc/fs","/proc/irq","/proc/sys","/proc/sysrq-trigger"]}

5. 重启服务器，进入docker确认。

docker ps -aq | xargs -I {} docker start {}

root@485f0e25b37c:/# df
Filesystem     1K-blocks     Used Available Use% Mounted on
overlay        959862832 37967920 873066752   5% /
tmpfs              65536        0     65536   0% /dev
tmpfs           24633980        0  24633980   0% /sys/fs/cgroup
shm              8065880        0   8065880   0% /dev/shm
/dev/sda2      959862832 37967920 873066752   5% /home/common-dir
tmpfs           24633980       12  24633968   1% /proc/driver/nvidia
udev            24588824        0  24588824   0% /dev/nvidia0
tmpfs           24633980        0  24633980   0% /proc/asound
tmpfs           24633980        0  24633980   0% /proc/acpi
tmpfs           24633980        0  24633980   0% /proc/scsi
tmpfs           24633980        0  24633980   0% /sys/firmware