features

package
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Published: Dec 5, 2022 License: Apache-2.0 Imports: 2 Imported by: 0

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Constants

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const (
	// GangScheduling enables pluggable gang scheduling for jobs.
	GangScheduling featuregate.Feature = "GangScheduling"

	// DAGScheduling enables DAG scheduling workflow between different job roles.
	DAGScheduling featuregate.Feature = "DAGScheduling"

	// JobCoordinator enables coordinator to orchestrate waiting in queue jobs for
	// better fairness and efficiency.
	JobCoordinator featuregate.Feature = "JobCoordinator"

	// PyTorchLocalMasterAddr explicitly declare to use localhost as master self listened
	// address, it's usually adopted in version < torch 1.9, in >=1.9 distributed communication
	// style, master address value should be aligned with workers, set by master service name.
	PyTorchLocalMasterAddr featuregate.Feature = "PyTorchLocalMasterAddr"

	// HostNetWithHeadlessSvc constructs connections intra pods leveraging headless service
	// instead of normal service with different port/targetPort, it bypasses traffic routing
	// but pod may not find correct host port after fail-overed.
	HostNetWithHeadlessSvc featuregate.Feature = "HostNetWithHeadlessSvc"
)

Variables

View Source
var (
	KubeDLFeatureGates = featuregate.NewFeatureGate()
)

Functions

This section is empty.

Types

This section is empty.

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