tensorboard

Tensorboard is the Schema for the Tensorboards API. Tensorboard is a physical database that stores users' training metrics.

Schema URL

https://raw.githubusercontent.com/nlamirault/schema-hub/main/schemas/vertexai.gcp.upbound.io/tensorboard_v1beta2.json

▶Usage examples

VS Code / yaml-language-server

# yaml-language-server: $schema=https://raw.githubusercontent.com/nlamirault/schema-hub/main/schemas/vertexai.gcp.upbound.io/tensorboard_v1beta2.json

kubeconform

kubeconform -schema-location 'https://raw.githubusercontent.com/nlamirault/schema-hub/main/schemas/{{ .Group }}/{{ .ResourceKind }}_{{ .ResourceAPIVersion }}.json' manifest.yaml

Resource Structure

apiVersionstring

APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources

kindstring

Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds

metadataobject

specobjectRequired

TensorboardSpec defines the desired state of Tensorboard

statusobject

TensorboardStatus defines the observed state of Tensorboard.