Class GoogleCloudMlV1Scheduling

All parameters related to scheduling of training jobs.

Inheritance
object
GoogleCloudMlV1Scheduling
Implements
Inherited Members
Namespace: Google.Apis.CloudMachineLearningEngine.v1.Data
Assembly: Google.Apis.CloudMachineLearningEngine.v1.dll
Syntax
public class GoogleCloudMlV1Scheduling : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

MaxRunningTime

Optional. The maximum job running time, expressed in seconds. The field can contain up to nine fractional digits, terminated by s. If not specified, this field defaults to 604800s (seven days). If the training job is still running after this duration, AI Platform Training cancels it. The duration is measured from when the job enters the RUNNING state; therefore it does not overlap with the duration limited by Scheduling.max_wait_time. For example, if you want to ensure your job runs for no more than 2 hours, set this field to 7200s (2 hours * 60 minutes / hour * 60 seconds / minute). If you submit your training job using the gcloud tool, you can specify this field in a config.yaml file. For example:

yaml trainingInput: scheduling: maxRunningTime: 7200s
Declaration
[JsonProperty("maxRunningTime")]
public virtual object MaxRunningTime { get; set; }
Property Value
Type Description
object

MaxWaitTime

Optional. The maximum job wait time, expressed in seconds. The field can contain up to nine fractional digits, terminated by s. If not specified, there is no limit to the wait time. The minimum for this field is 1800s (30 minutes). If the training job has not entered the RUNNING state after this duration, AI Platform Training cancels it. After the job begins running, it can no longer be cancelled due to the maximum wait time. Therefore the duration limited by this field does not overlap with the duration limited by Scheduling.max_running_time. For example, if the job temporarily stops running and retries due to a VM restart, this cannot lead to a maximum wait time cancellation. However, independently of this constraint, AI Platform Training might stop a job if there are too many retries due to exhausted resources in a region. The following example describes how you might use this field: To cancel your job if it doesn't start running within 1 hour, set this field to 3600s (1 hour

  • 60 minutes / hour * 60 seconds / minute). If the job is still in the QUEUED or PREPARING state after an hour of waiting, AI Platform Training cancels the job. If you submit your training job using the gcloud tool, you can specify this field in a config.yaml file. For example:
yaml trainingInput: scheduling: maxWaitTime: 3600s
Declaration
[JsonProperty("maxWaitTime")]
public virtual object MaxWaitTime { get; set; }
Property Value
Type Description
object

Priority

Optional. Job scheduling will be based on this priority, which in the range [0, 1000]. The bigger the number, the higher the priority. Default to 0 if not set. If there are multiple jobs requesting same type of accelerators, the high priority job will be scheduled prior to ones with low priority.

Declaration
[JsonProperty("priority")]
public virtual int? Priority { get; set; }
Property Value
Type Description
int?

Implements