问题描述
我试图在 ctr 的帮助下运行图像。要运行的容器取决于 nvidia 运行时。 我的 containerd 版本是 1.3,我也配置了 nvidia-container-runtime。我正在使用以下命令运行图像
sudo ctr-enc run -t --detach --rm --runtime io.containerd.runc.v1 --net-host --mount type=bind,src=$HOME/images/,dst=/home/shared/images,options=rbind:ro <image-name>
我的/etc/containerd/config.toml文件如下
version = 2
root = "/var/lib/containerd"
state = "/run/containerd"
plugin_dir = ""
disabled_plugins = []
required_plugins = []
oom_score = 0
[grpc]
address = "/run/containerd/containerd.sock"
tcp_address = ""
tcp_tls_cert = ""
tcp_tls_key = ""
uid = 0
gid = 0
max_recv_message_size = 16777216
max_send_message_size = 16777216
[ttrpc]
address = ""
uid = 0
gid = 0
[debug]
address = ""
uid = 0
gid = 0
level = ""
[metrics]
address = ""
grpc_histogram = false
[cgroup]
path = ""
[timeouts]
"io.containerd.timeout.shim.cleanup" = "5s"
"io.containerd.timeout.shim.load" = "5s"
"io.containerd.timeout.shim.shutdown" = "3s"
"io.containerd.timeout.task.state" = "2s"
[plugins]
[plugins."io.containerd.gc.v1.scheduler"]
pause_threshold = 0.02
deletion_threshold = 0
mutation_threshold = 100
schedule_delay = "0s"
startup_delay = "100ms"
[plugins."io.containerd.grpc.v1.cri"]
disable_tcp_service = true
stream_server_address = "127.0.0.1"
stream_server_port = "0"
stream_idle_timeout = "4h0m0s"
enable_selinux = false
sandBox_image = "k8s.gcr.io/pause:3.1"
stats_collect_period = 10
systemd_cgroup = false
enable_tls_streaming = false
max_container_log_line_size = 16384
disable_cgroup = false
disable_apparmor = false
restrict_oom_score_adj = false
max_concurrent_downloads = 3
disable_proc_mount = false
[plugins."io.containerd.grpc.v1.cri".containerd]
snapshotter = "overlayfs"
default_runtime_name = "runc"
no_pivot = false
[plugins."io.containerd.grpc.v1.cri".containerd.default_runtime]
runtime_type = ""
runtime_engine = ""
runtime_root = ""
privileged_without_host_devices = false
[plugins."io.containerd.grpc.v1.cri".containerd.untrusted_workload_runtime]
runtime_type = ""
runtime_engine = ""
runtime_root = ""
privileged_without_host_devices = false
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes]
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc]
runtime_type = "io.containerd.runc.v1"
runtime_engine = ""
runtime_root = ""
privileged_without_host_devices = false
[plugins."io.containerd.grpc.v1.cri".cni]
bin_dir = "/opt/cni/bin"
conf_dir = "/etc/cni/net.d"
max_conf_num = 1
conf_template = ""
[plugins."io.containerd.grpc.v1.cri".registry]
[plugins."io.containerd.grpc.v1.cri".registry.mirrors]
[plugins."io.containerd.grpc.v1.cri".registry.mirrors."docker.io"]
endpoint = ["https://registry-1.docker.io"]
[plugins."io.containerd.grpc.v1.cri".x509_key_pair_streaming]
tls_cert_file = ""
tls_key_file = ""
[plugins."io.containerd.internal.v1.opt"]
path = "/opt/containerd"
[plugins."io.containerd.internal.v1.restart"]
interval = "10s"
[plugins."io.containerd.Metadata.v1.bolt"]
content_sharing_policy = "shared"
[plugins."io.containerd.monitor.v1.cgroups"]
no_prometheus = false
[plugins."io.containerd.runtime.v1.linux"]
shim = "containerd-shim"
runtime = "runc"
runtime_root = ""
no_shim = false
shim_debug = false
[plugins."io.containerd.runtime.v2.task"]
platforms = ["linux/arm64/v8"]
[plugins."io.containerd.service.v1.diff-service"]
default = ["walking"]
[plugins."io.containerd.snapshotter.v1.devmapper"]
root_path = ""
pool_name = ""
base_image_size = ""
privileged_without_host_devices = false
base_runtime_spec = ""
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options]
SystemdCgroup = true
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia]
privileged_without_host_devices = false
runtime_engine = ""
runtime_root = ""
runtime_type = "io.containerd.runc.v1"
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.nvidia.options]
BinaryName = "/usr/bin/nvidia-container-runtime"
SystemdCgroup = true
bin_dir = "/opt/cni/bin"
conf_dir = "/etc/cni/net.d"
我已按照 this 链接中的建议在默认配置的末尾添加了 privileged_without_host_devices = false
部分
正如您从 ctr-enc 命令中看到的,我试图将运行时指定为 "io.containerd.runc.v1"。 但是容器似乎没有与提供的位置绑定。该文件夹是在运行此容器时创建的,但文件夹内没有数据。 请让我知道我需要如何为 nvidia 配置运行时,以便此图像按预期工作。
解决方法
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