2020-04-06 17:23:26 -07:00

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# GCP
# @optionalParam logDir string logs Name of the log directory holding the TF events file
# @optionalParam targetPort number 6006 Name of the targetPort
# @optionalParam servicePort number 9000 Name of the servicePort
# @optionalParam serviceType string ClusterIP The service type for Jupyterhub.
# @optionalParam defaultTbImage string tensorflow/tensorflow:1.8.0 default tensorboard image to use
# @optionalParam gcpCredentialSecretName string null Name of the k8s secrets containing gcp credentials
# AWS
# @optionalParam logDir string logs Name of the log directory holding the TF events file
# @optionalParam targetPort number 6006 Name of the targetPort
# @optionalParam servicePort number 9000 Name of the servicePort
# @optionalParam serviceType string ClusterIP The service type for tensorboard service
# @optionalParam defaultTbImage string tensorflow/tensorflow:1.8.0 default tensorboard image to use
# @optionalParam s3Enabled string false Whether or not to use S3
# @optionalParam s3SecretName string null Name of the k8s secrets containing S3 credentials
# @optionalParam s3SecretAccesskeyidKeyName string null Name of the key in the k8s secret containing AWS_ACCESS_KEY_ID
# @optionalParam s3SecretSecretaccesskeyKeyName string null Name of the key in the k8s secret containing AWS_SECRET_ACCESS_KEY
# @optionalParam s3AwsRegion string us-west-1 S3 region
# @optionalParam s3UseHttps string true Whether or not to use https
# @optionalParam s3VerifySsl string true Whether or not to verify https certificates for S3 connections
# @optionalParam s3Endpoint string s3.us-west-1.amazonaws.com URL for your s3-compatible endpoint
# @optionalParam efsEnabled string false Whether or not to use EFS
# @optionalParam efsPvcName string null Name of the Persistent Volume Claim used for EFS
# @optionalParam efsVolumeName string null Name of the Volume to mount to the pod
# @optionalParam efsMountPath string null Where to mount the EFS Volume
namespace=kubeflow
clusterDomain=cluster.local