View Source GoogleApi.Notebooks.V1.Model.ExecutionTemplate (google_api_notebooks v0.14.0)
The description a notebook execution workload.
Attributes
-
acceleratorConfig
(type:GoogleApi.Notebooks.V1.Model.SchedulerAcceleratorConfig.t
, default:nil
) - Configuration (count and accelerator type) for hardware running notebook execution. -
containerImageUri
(type:String.t
, default:nil
) - Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container -
dataprocParameters
(type:GoogleApi.Notebooks.V1.Model.DataprocParameters.t
, default:nil
) - Parameters used in Dataproc JobType executions. -
inputNotebookFile
(type:String.t
, default:nil
) - Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format:gs://{bucket_name}/{folder}/{notebook_file_name}
Ex:gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
-
jobType
(type:String.t
, default:nil
) - The type of Job to be used on this execution. -
kernelSpec
(type:String.t
, default:nil
) - Name of the kernel spec to use. This must be specified if the kernel spec name on the execution target does not match the name in the input notebook file. -
labels
(type:map()
, default:nil
) - Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions. -
masterType
(type:String.t
, default:nil
) - Specifies the type of virtual machine to use for your training job's master worker. You must specify this field whenscaleTier
is set toCUSTOM
. You can use certain Compute Engine machine types directly in this field. The following types are supported: -n1-standard-4
-n1-standard-8
-n1-standard-16
-n1-standard-32
-n1-standard-64
-n1-standard-96
-n1-highmem-2
-n1-highmem-4
-n1-highmem-8
-n1-highmem-16
-n1-highmem-32
-n1-highmem-64
-n1-highmem-96
-n1-highcpu-16
-n1-highcpu-32
-n1-highcpu-64
-n1-highcpu-96
Alternatively, you can use the following legacy machine types: -standard
-large_model
-complex_model_s
-complex_model_m
-complex_model_l
-standard_gpu
-complex_model_m_gpu
-complex_model_l_gpu
-standard_p100
-complex_model_m_p100
-standard_v100
-large_model_v100
-complex_model_m_v100
-complex_model_l_v100
Finally, if you want to use a TPU for training, specifycloud_tpu
in this field. Learn more about the special configuration options for training with TPU. -
outputNotebookFolder
(type:String.t
, default:nil
) - Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format:gs://{bucket_name}/{folder}
Ex:gs://notebook_user/scheduled_notebooks
-
parameters
(type:String.t
, default:nil
) - Parameters used within the 'input_notebook_file' notebook. -
paramsYamlFile
(type:String.t
, default:nil
) - Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex:gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
-
scaleTier
(type:String.t
, default:nil
) - Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported. -
serviceAccount
(type:String.t
, default:nil
) - The email address of a service account to use when running the execution. You must have theiam.serviceAccounts.actAs
permission for the specified service account. -
tensorboard
(type:String.t
, default:nil
) - The name of a Vertex AI [Tensorboard] resource to which this execution will upload Tensorboard logs. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}
-
vertexAiParameters
(type:GoogleApi.Notebooks.V1.Model.VertexAIParameters.t
, default:nil
) - Parameters used in Vertex AI JobType executions.
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.Notebooks.V1.Model.ExecutionTemplate{ acceleratorConfig: GoogleApi.Notebooks.V1.Model.SchedulerAcceleratorConfig.t() | nil, containerImageUri: String.t() | nil, dataprocParameters: GoogleApi.Notebooks.V1.Model.DataprocParameters.t() | nil, inputNotebookFile: String.t() | nil, jobType: String.t() | nil, kernelSpec: String.t() | nil, labels: map() | nil, masterType: String.t() | nil, outputNotebookFolder: String.t() | nil, parameters: String.t() | nil, paramsYamlFile: String.t() | nil, scaleTier: String.t() | nil, serviceAccount: String.t() | nil, tensorboard: String.t() | nil, vertexAiParameters: GoogleApi.Notebooks.V1.Model.VertexAIParameters.t() | nil }
Functions
Unwrap a decoded JSON object into its complex fields.