Simplify GPU configuration process. #9
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@wbuchwalter Any interest in reviewing this before I merge it? |
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@jlewi Yes, doing that now :) |
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| func init() { | ||
| // chaos level will be removed once we have a formal tool to inject failures. | ||
| flag.IntVar(&chaosLevel, "chaos-level", -1, "DO NOT USE IN PRODUCTION - level of chaos injected into the etcd clusters created by the operator.") | ||
| flag.BoolVar(&printVersion, "version", false, "Show version and quit") | ||
| flag.DurationVar(&gcInterval, "gc-interval", 10*time.Minute, "GC interval") | ||
| flag.StringVar(&controllerConfigFile, "controller_config_file", "", "Path to file containing the controller config.") |
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replace controller_config_file by controller-config-file to stick with convention?
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I changed the name in the config map to match this one.
| return fmt.Errorf("Replica is missing Template; %v", util.Pformat(r)) | ||
| } | ||
| for i, c := range r.Template.Spec.Containers { | ||
| if c.Name == string(TENSORFLOW) { |
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I don't really understand why we specifically need to ensure that the container is named "tensorflow", but as this is not related to this PR we can discuss later.
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I wanted to allow for more than 1 container in the pod. The original reason for that was to handle logging via a sidecar container. If we don't need to allow for more than 1 container than we can drop this requirement. Alternatively, we could introduce some other method to identify the container that is running TensorFlow.
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@jlewi Looks good! Left 2 minors comments.This is a really cool feature. |
* Job controller is configured with a list of volumes that need to be added to pods that use GPUs. * Controller looks at pods that specify GPU resources and adds volume mounts needed for GPUs.
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@wbuchwalter Thank you. Do you want to take a look at my changes to the README? |
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This looks good to me! |
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Thanks. |
Job controller is configured with a list of volumes that need to be added to pods that use GPUs.
Controller looks at pods that specify GPU resources and adds volume mounts needed for GPUs.