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primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
supports a single TLS port, 443. If multiple members of this list specify different hosts, they will be multiplexed on the same port according to the
"cleanPodPolicy": "Running", "jobMode": "MXTrain", "mxReplicaSpecs": { "Scheduler": { "replicas": 1,
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0
"c6e548f1-adfe-11e9-ba3a-b44326d0c915" }, "spec": { "pytorchReplicaSpecs": { "Master": { "replicas": 1,
如果需要实时读取数据，可为已创建的文件系统指定挂载参数。 挂载参数可设置mount命令指定文件系统挂载的选项，当前支持noac，即用于禁止本地的文件和目录缓存，支持客户端实时从远端SFS 3.0读取数据。 此处设置的挂载参数仅对当前命名空间下创建的文件存储卷有效。 图2 设置SFS
"containerPort" : 22, "name" : "mpijob-port" } ], "resources" : { "limits"
基础的tensorflow库，它分支持GPU和支持CPU两个版本，在镜像中心即可下载。 GPU版本地址为 tensorflow/tensorflow:1.15.0-gpu CPU版本地址为 tensorflow/tensorflow:1.13.0 本文采用tensorflow官网
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"f4c79668-adfd-11e9-8041-340a9837e2a7" }, "spec": { "pytorchReplicaSpecs": { "Master": { "replicas": 1,
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