AI Platform Notebooks v1 API - Class ExecutionTemplate (2.3.0) 

public sealed class ExecutionTemplate : IMessage<ExecutionTemplate>, IEquatable<ExecutionTemplate>, IDeepCloneable<ExecutionTemplate>, IBufferMessage, IMessage

Reference documentation and code samples for the AI Platform Notebooks v1 API class ExecutionTemplate.

The description a notebook execution workload.

Inheritance

object > ExecutionTemplate

Namespace

Google.Cloud.Notebooks.V1

Assembly

Google.Cloud.Notebooks.V1.dll

Constructors

ExecutionTemplate()

public ExecutionTemplate()

ExecutionTemplate(ExecutionTemplate)

public ExecutionTemplate(ExecutionTemplate other)
Parameter
NameDescription
otherExecutionTemplate

Properties

AcceleratorConfig

public ExecutionTemplate.Types.SchedulerAcceleratorConfig AcceleratorConfig { get; set; }

Configuration (count and accelerator type) for hardware running notebook execution.

Property Value
TypeDescription
ExecutionTemplateTypesSchedulerAcceleratorConfig

ContainerImageUri

public string ContainerImageUri { get; set; }

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

Property Value
TypeDescription
string

DataprocParameters

public ExecutionTemplate.Types.DataprocParameters DataprocParameters { get; set; }

Parameters used in Dataproc JobType executions.

Property Value
TypeDescription
ExecutionTemplateTypesDataprocParameters

InputNotebookFile

public string InputNotebookFile { get; set; }

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

Property Value
TypeDescription
string

JobParametersCase

public ExecutionTemplate.JobParametersOneofCase JobParametersCase { get; }
Property Value
TypeDescription
ExecutionTemplateJobParametersOneofCase

JobType

public ExecutionTemplate.Types.JobType JobType { get; set; }

The type of Job to be used on this execution.

Property Value
TypeDescription
ExecutionTemplateTypesJobType

KernelSpec

public string KernelSpec { get; set; }

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.

Property Value
TypeDescription
string

Labels

public MapField<string, string> Labels { get; }

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.

Property Value
TypeDescription
MapFieldstringstring

MasterType

public string MasterType { get; set; }

Specifies the type of virtual machine to use for your training job's master worker. You must specify this field when scaleTier is set to CUSTOM.

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, specify cloud_tpu in this field. Learn more about the special configuration options for training with TPU.

Property Value
TypeDescription
string

OutputNotebookFolder

public string OutputNotebookFolder { get; set; }

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

Property Value
TypeDescription
string

Parameters

public string Parameters { get; set; }

Parameters used within the 'input_notebook_file' notebook.

Property Value
TypeDescription
string

ParamsYamlFile

public string ParamsYamlFile { get; set; }

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

Property Value
TypeDescription
string

ScaleTier

[Obsolete]
public ExecutionTemplate.Types.ScaleTier ScaleTier { get; set; }

Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.

Property Value
TypeDescription
ExecutionTemplateTypesScaleTier

ServiceAccount

public string ServiceAccount { get; set; }

The email address of a service account to use when running the execution. You must have the iam.serviceAccounts.actAs permission for the specified service account.

Property Value
TypeDescription
string

Tensorboard

public string Tensorboard { get; set; }

The name of a Vertex AI [Tensorboard] resource to which this execution will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

Property Value
TypeDescription
string

TensorboardAsTensorboardName

public TensorboardName TensorboardAsTensorboardName { get; set; }

TensorboardName-typed view over the Tensorboard resource name property.

Property Value
TypeDescription
TensorboardName

VertexAiParameters

public ExecutionTemplate.Types.VertexAIParameters VertexAiParameters { get; set; }

Parameters used in Vertex AI JobType executions.

Property Value
TypeDescription
ExecutionTemplateTypesVertexAIParameters