Class ExecutionTemplate.Builder (1.45.0) 

public static final class ExecutionTemplate.Builder extends GeneratedMessageV3.Builder<ExecutionTemplate.Builder> implements ExecutionTemplateOrBuilder

The description a notebook execution workload.

Protobuf type google.cloud.notebooks.v1.ExecutionTemplate

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ExecutionTemplate.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ExecutionTemplate.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ExecutionTemplate.Builder
Overrides

build()

public ExecutionTemplate build()
Returns
Type Description
ExecutionTemplate

buildPartial()

public ExecutionTemplate buildPartial()
Returns
Type Description
ExecutionTemplate

clear()

public ExecutionTemplate.Builder clear()
Returns
Type Description
ExecutionTemplate.Builder
Overrides

clearAcceleratorConfig()

public ExecutionTemplate.Builder clearAcceleratorConfig()

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Returns
Type Description
ExecutionTemplate.Builder

clearContainerImageUri()

public ExecutionTemplate.Builder clearContainerImageUri()

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

string container_image_uri = 6;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearDataprocParameters()

public ExecutionTemplate.Builder clearDataprocParameters()

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Returns
Type Description
ExecutionTemplate.Builder

clearField(Descriptors.FieldDescriptor field)

public ExecutionTemplate.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ExecutionTemplate.Builder
Overrides

clearInputNotebookFile()

public ExecutionTemplate.Builder clearInputNotebookFile()

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

string input_notebook_file = 5;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearJobParameters()

public ExecutionTemplate.Builder clearJobParameters()
Returns
Type Description
ExecutionTemplate.Builder

clearJobType()

public ExecutionTemplate.Builder clearJobType()

The type of Job to be used on this execution.

.google.cloud.notebooks.v1.ExecutionTemplate.JobType job_type = 11;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearKernelSpec()

public ExecutionTemplate.Builder clearKernelSpec()

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.

string kernel_spec = 14;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearLabels()

public ExecutionTemplate.Builder clearLabels()
Returns
Type Description
ExecutionTemplate.Builder

clearMasterType()

public ExecutionTemplate.Builder clearMasterType()

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.

string master_type = 2;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ExecutionTemplate.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ExecutionTemplate.Builder
Overrides

clearOutputNotebookFolder()

public ExecutionTemplate.Builder clearOutputNotebookFolder()

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

string output_notebook_folder = 7;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearParameters()

public ExecutionTemplate.Builder clearParameters()

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearParamsYamlFile()

public ExecutionTemplate.Builder clearParamsYamlFile()

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

string params_yaml_file = 8;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearScaleTier() (deprecated)

public ExecutionTemplate.Builder clearScaleTier()

Deprecated. google.cloud.notebooks.v1.ExecutionTemplate.scale_tier is deprecated. See google/cloud/notebooks/v1/execution.proto;l=151

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

.google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier scale_tier = 1 [deprecated = true, (.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearServiceAccount()

public ExecutionTemplate.Builder clearServiceAccount()

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.

string service_account = 10;

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearTensorboard()

public ExecutionTemplate.Builder clearTensorboard()

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

string tensorboard = 15 [(.google.api.resource_reference) = { ... }

Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

clearVertexAiParameters()

public ExecutionTemplate.Builder clearVertexAiParameters()

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Returns
Type Description
ExecutionTemplate.Builder

clone()

public ExecutionTemplate.Builder clone()
Returns
Type Description
ExecutionTemplate.Builder
Overrides

containsLabels(String key)

public boolean containsLabels(String key)

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.

map<string, string> labels = 4;

Parameter
Name Description
key String
Returns
Type Description
boolean

getAcceleratorConfig()

public ExecutionTemplate.SchedulerAcceleratorConfig getAcceleratorConfig()

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Returns
Type Description
ExecutionTemplate.SchedulerAcceleratorConfig

The acceleratorConfig.

getAcceleratorConfigBuilder()

public ExecutionTemplate.SchedulerAcceleratorConfig.Builder getAcceleratorConfigBuilder()

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Returns
Type Description
ExecutionTemplate.SchedulerAcceleratorConfig.Builder

getAcceleratorConfigOrBuilder()

public ExecutionTemplate.SchedulerAcceleratorConfigOrBuilder getAcceleratorConfigOrBuilder()

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Returns
Type Description
ExecutionTemplate.SchedulerAcceleratorConfigOrBuilder

getContainerImageUri()

public String getContainerImageUri()

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

string container_image_uri = 6;

Returns
Type Description
String

The containerImageUri.

getContainerImageUriBytes()

public ByteString getContainerImageUriBytes()

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

string container_image_uri = 6;

Returns
Type Description
ByteString

The bytes for containerImageUri.

getDataprocParameters()

public ExecutionTemplate.DataprocParameters getDataprocParameters()

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Returns
Type Description
ExecutionTemplate.DataprocParameters

The dataprocParameters.

getDataprocParametersBuilder()

public ExecutionTemplate.DataprocParameters.Builder getDataprocParametersBuilder()

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Returns
Type Description
ExecutionTemplate.DataprocParameters.Builder

getDataprocParametersOrBuilder()

public ExecutionTemplate.DataprocParametersOrBuilder getDataprocParametersOrBuilder()

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Returns
Type Description
ExecutionTemplate.DataprocParametersOrBuilder

getDefaultInstanceForType()

public ExecutionTemplate getDefaultInstanceForType()
Returns
Type Description
ExecutionTemplate

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getInputNotebookFile()

public String getInputNotebookFile()

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

string input_notebook_file = 5;

Returns
Type Description
String

The inputNotebookFile.

getInputNotebookFileBytes()

public ByteString getInputNotebookFileBytes()

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

string input_notebook_file = 5;

Returns
Type Description
ByteString

The bytes for inputNotebookFile.

getJobParametersCase()

public ExecutionTemplate.JobParametersCase getJobParametersCase()
Returns
Type Description
ExecutionTemplate.JobParametersCase

getJobType()

public ExecutionTemplate.JobType getJobType()

The type of Job to be used on this execution.

.google.cloud.notebooks.v1.ExecutionTemplate.JobType job_type = 11;

Returns
Type Description
ExecutionTemplate.JobType

The jobType.

getJobTypeValue()

public int getJobTypeValue()

The type of Job to be used on this execution.

.google.cloud.notebooks.v1.ExecutionTemplate.JobType job_type = 11;

Returns
Type Description
int

The enum numeric value on the wire for jobType.

getKernelSpec()

public String getKernelSpec()

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.

string kernel_spec = 14;

Returns
Type Description
String

The kernelSpec.

getKernelSpecBytes()

public ByteString getKernelSpecBytes()

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.

string kernel_spec = 14;

Returns
Type Description
ByteString

The bytes for kernelSpec.

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

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.

map<string, string> labels = 4;

Returns
Type Description
int

getLabelsMap()

public Map<String,String> getLabelsMap()

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.

map<string, string> labels = 4;

Returns
Type Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

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.

map<string, string> labels = 4;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

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.

map<string, string> labels = 4;

Parameter
Name Description
key String
Returns
Type Description
String

getMasterType()

public String getMasterType()

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.

string master_type = 2;

Returns
Type Description
String

The masterType.

getMasterTypeBytes()

public ByteString getMasterTypeBytes()

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.

string master_type = 2;

Returns
Type Description
ByteString

The bytes for masterType.

getMutableLabels() (deprecated)

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getOutputNotebookFolder()

public String getOutputNotebookFolder()

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

string output_notebook_folder = 7;

Returns
Type Description
String

The outputNotebookFolder.

getOutputNotebookFolderBytes()

public ByteString getOutputNotebookFolderBytes()

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

string output_notebook_folder = 7;

Returns
Type Description
ByteString

The bytes for outputNotebookFolder.

getParameters()

public String getParameters()

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Returns
Type Description
String

The parameters.

getParametersBytes()

public ByteString getParametersBytes()

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Returns
Type Description
ByteString

The bytes for parameters.

getParamsYamlFile()

public String getParamsYamlFile()

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

string params_yaml_file = 8;

Returns
Type Description
String

The paramsYamlFile.

getParamsYamlFileBytes()

public ByteString getParamsYamlFileBytes()

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

string params_yaml_file = 8;

Returns
Type Description
ByteString

The bytes for paramsYamlFile.

getScaleTier() (deprecated)

public ExecutionTemplate.ScaleTier getScaleTier()

Deprecated. google.cloud.notebooks.v1.ExecutionTemplate.scale_tier is deprecated. See google/cloud/notebooks/v1/execution.proto;l=151

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

.google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier scale_tier = 1 [deprecated = true, (.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ExecutionTemplate.ScaleTier

The scaleTier.

getScaleTierValue() (deprecated)

public int getScaleTierValue()

Deprecated. google.cloud.notebooks.v1.ExecutionTemplate.scale_tier is deprecated. See google/cloud/notebooks/v1/execution.proto;l=151

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

.google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier scale_tier = 1 [deprecated = true, (.google.api.field_behavior) = REQUIRED];

Returns
Type Description
int

The enum numeric value on the wire for scaleTier.

getServiceAccount()

public String getServiceAccount()

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.

string service_account = 10;

Returns
Type Description
String

The serviceAccount.

getServiceAccountBytes()

public ByteString getServiceAccountBytes()

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.

string service_account = 10;

Returns
Type Description
ByteString

The bytes for serviceAccount.

getTensorboard()

public String getTensorboard()

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

string tensorboard = 15 [(.google.api.resource_reference) = { ... }

Returns
Type Description
String

The tensorboard.

getTensorboardBytes()

public ByteString getTensorboardBytes()

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

string tensorboard = 15 [(.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for tensorboard.

getVertexAiParameters()

public ExecutionTemplate.VertexAIParameters getVertexAiParameters()

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Returns
Type Description
ExecutionTemplate.VertexAIParameters

The vertexAiParameters.

getVertexAiParametersBuilder()

public ExecutionTemplate.VertexAIParameters.Builder getVertexAiParametersBuilder()

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Returns
Type Description
ExecutionTemplate.VertexAIParameters.Builder

getVertexAiParametersOrBuilder()

public ExecutionTemplate.VertexAIParametersOrBuilder getVertexAiParametersOrBuilder()

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Returns
Type Description
ExecutionTemplate.VertexAIParametersOrBuilder

hasAcceleratorConfig()

public boolean hasAcceleratorConfig()

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Returns
Type Description
boolean

Whether the acceleratorConfig field is set.

hasDataprocParameters()

public boolean hasDataprocParameters()

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Returns
Type Description
boolean

Whether the dataprocParameters field is set.

hasVertexAiParameters()

public boolean hasVertexAiParameters()

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Returns
Type Description
boolean

Whether the vertexAiParameters field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeAcceleratorConfig(ExecutionTemplate.SchedulerAcceleratorConfig value)

public ExecutionTemplate.Builder mergeAcceleratorConfig(ExecutionTemplate.SchedulerAcceleratorConfig value)

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Parameter
Name Description
value ExecutionTemplate.SchedulerAcceleratorConfig
Returns
Type Description
ExecutionTemplate.Builder

mergeDataprocParameters(ExecutionTemplate.DataprocParameters value)

public ExecutionTemplate.Builder mergeDataprocParameters(ExecutionTemplate.DataprocParameters value)

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Parameter
Name Description
value ExecutionTemplate.DataprocParameters
Returns
Type Description
ExecutionTemplate.Builder

mergeFrom(ExecutionTemplate other)

public ExecutionTemplate.Builder mergeFrom(ExecutionTemplate other)
Parameter
Name Description
other ExecutionTemplate
Returns
Type Description
ExecutionTemplate.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ExecutionTemplate.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExecutionTemplate.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ExecutionTemplate.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ExecutionTemplate.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ExecutionTemplate.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ExecutionTemplate.Builder
Overrides

mergeVertexAiParameters(ExecutionTemplate.VertexAIParameters value)

public ExecutionTemplate.Builder mergeVertexAiParameters(ExecutionTemplate.VertexAIParameters value)

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Parameter
Name Description
value ExecutionTemplate.VertexAIParameters
Returns
Type Description
ExecutionTemplate.Builder

putAllLabels(Map<String,String> values)

public ExecutionTemplate.Builder putAllLabels(Map<String,String> values)

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.

map<string, string> labels = 4;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
ExecutionTemplate.Builder

putLabels(String key, String value)

public ExecutionTemplate.Builder putLabels(String key, String value)

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.

map<string, string> labels = 4;

Parameters
Name Description
key String
value String
Returns
Type Description
ExecutionTemplate.Builder

removeLabels(String key)

public ExecutionTemplate.Builder removeLabels(String key)

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.

map<string, string> labels = 4;

Parameter
Name Description
key String
Returns
Type Description
ExecutionTemplate.Builder

setAcceleratorConfig(ExecutionTemplate.SchedulerAcceleratorConfig value)

public ExecutionTemplate.Builder setAcceleratorConfig(ExecutionTemplate.SchedulerAcceleratorConfig value)

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Parameter
Name Description
value ExecutionTemplate.SchedulerAcceleratorConfig
Returns
Type Description
ExecutionTemplate.Builder

setAcceleratorConfig(ExecutionTemplate.SchedulerAcceleratorConfig.Builder builderForValue)

public ExecutionTemplate.Builder setAcceleratorConfig(ExecutionTemplate.SchedulerAcceleratorConfig.Builder builderForValue)

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

.google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig accelerator_config = 3;

Parameter
Name Description
builderForValue ExecutionTemplate.SchedulerAcceleratorConfig.Builder
Returns
Type Description
ExecutionTemplate.Builder

setContainerImageUri(String value)

public ExecutionTemplate.Builder setContainerImageUri(String value)

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

string container_image_uri = 6;

Parameter
Name Description
value String

The containerImageUri to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setContainerImageUriBytes(ByteString value)

public ExecutionTemplate.Builder setContainerImageUriBytes(ByteString value)

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

string container_image_uri = 6;

Parameter
Name Description
value ByteString

The bytes for containerImageUri to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setDataprocParameters(ExecutionTemplate.DataprocParameters value)

public ExecutionTemplate.Builder setDataprocParameters(ExecutionTemplate.DataprocParameters value)

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Parameter
Name Description
value ExecutionTemplate.DataprocParameters
Returns
Type Description
ExecutionTemplate.Builder

setDataprocParameters(ExecutionTemplate.DataprocParameters.Builder builderForValue)

public ExecutionTemplate.Builder setDataprocParameters(ExecutionTemplate.DataprocParameters.Builder builderForValue)

Parameters used in Dataproc JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters dataproc_parameters = 12;

Parameter
Name Description
builderForValue ExecutionTemplate.DataprocParameters.Builder
Returns
Type Description
ExecutionTemplate.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ExecutionTemplate.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ExecutionTemplate.Builder
Overrides

setInputNotebookFile(String value)

public ExecutionTemplate.Builder setInputNotebookFile(String value)

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

string input_notebook_file = 5;

Parameter
Name Description
value String

The inputNotebookFile to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setInputNotebookFileBytes(ByteString value)

public ExecutionTemplate.Builder setInputNotebookFileBytes(ByteString value)

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

string input_notebook_file = 5;

Parameter
Name Description
value ByteString

The bytes for inputNotebookFile to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setJobType(ExecutionTemplate.JobType value)

public ExecutionTemplate.Builder setJobType(ExecutionTemplate.JobType value)

The type of Job to be used on this execution.

.google.cloud.notebooks.v1.ExecutionTemplate.JobType job_type = 11;

Parameter
Name Description
value ExecutionTemplate.JobType

The jobType to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setJobTypeValue(int value)

public ExecutionTemplate.Builder setJobTypeValue(int value)

The type of Job to be used on this execution.

.google.cloud.notebooks.v1.ExecutionTemplate.JobType job_type = 11;

Parameter
Name Description
value int

The enum numeric value on the wire for jobType to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setKernelSpec(String value)

public ExecutionTemplate.Builder setKernelSpec(String value)

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.

string kernel_spec = 14;

Parameter
Name Description
value String

The kernelSpec to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setKernelSpecBytes(ByteString value)

public ExecutionTemplate.Builder setKernelSpecBytes(ByteString value)

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.

string kernel_spec = 14;

Parameter
Name Description
value ByteString

The bytes for kernelSpec to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setMasterType(String value)

public ExecutionTemplate.Builder setMasterType(String value)

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.

string master_type = 2;

Parameter
Name Description
value String

The masterType to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setMasterTypeBytes(ByteString value)

public ExecutionTemplate.Builder setMasterTypeBytes(ByteString value)

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.

string master_type = 2;

Parameter
Name Description
value ByteString

The bytes for masterType to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setOutputNotebookFolder(String value)

public ExecutionTemplate.Builder setOutputNotebookFolder(String value)

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

string output_notebook_folder = 7;

Parameter
Name Description
value String

The outputNotebookFolder to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setOutputNotebookFolderBytes(ByteString value)

public ExecutionTemplate.Builder setOutputNotebookFolderBytes(ByteString value)

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

string output_notebook_folder = 7;

Parameter
Name Description
value ByteString

The bytes for outputNotebookFolder to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setParameters(String value)

public ExecutionTemplate.Builder setParameters(String value)

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Parameter
Name Description
value String

The parameters to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setParametersBytes(ByteString value)

public ExecutionTemplate.Builder setParametersBytes(ByteString value)

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Parameter
Name Description
value ByteString

The bytes for parameters to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setParamsYamlFile(String value)

public ExecutionTemplate.Builder setParamsYamlFile(String value)

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

string params_yaml_file = 8;

Parameter
Name Description
value String

The paramsYamlFile to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setParamsYamlFileBytes(ByteString value)

public ExecutionTemplate.Builder setParamsYamlFileBytes(ByteString value)

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

string params_yaml_file = 8;

Parameter
Name Description
value ByteString

The bytes for paramsYamlFile to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ExecutionTemplate.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
ExecutionTemplate.Builder
Overrides

setScaleTier(ExecutionTemplate.ScaleTier value) (deprecated)

public ExecutionTemplate.Builder setScaleTier(ExecutionTemplate.ScaleTier value)

Deprecated. google.cloud.notebooks.v1.ExecutionTemplate.scale_tier is deprecated. See google/cloud/notebooks/v1/execution.proto;l=151

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

.google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier scale_tier = 1 [deprecated = true, (.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ExecutionTemplate.ScaleTier

The scaleTier to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setScaleTierValue(int value) (deprecated)

public ExecutionTemplate.Builder setScaleTierValue(int value)

Deprecated. google.cloud.notebooks.v1.ExecutionTemplate.scale_tier is deprecated. See google/cloud/notebooks/v1/execution.proto;l=151

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

.google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier scale_tier = 1 [deprecated = true, (.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value int

The enum numeric value on the wire for scaleTier to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setServiceAccount(String value)

public ExecutionTemplate.Builder setServiceAccount(String value)

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.

string service_account = 10;

Parameter
Name Description
value String

The serviceAccount to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setServiceAccountBytes(ByteString value)

public ExecutionTemplate.Builder setServiceAccountBytes(ByteString value)

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.

string service_account = 10;

Parameter
Name Description
value ByteString

The bytes for serviceAccount to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setTensorboard(String value)

public ExecutionTemplate.Builder setTensorboard(String value)

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

string tensorboard = 15 [(.google.api.resource_reference) = { ... }

Parameter
Name Description
value String

The tensorboard to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setTensorboardBytes(ByteString value)

public ExecutionTemplate.Builder setTensorboardBytes(ByteString value)

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

string tensorboard = 15 [(.google.api.resource_reference) = { ... }

Parameter
Name Description
value ByteString

The bytes for tensorboard to set.
Returns
Type Description
ExecutionTemplate.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final ExecutionTemplate.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ExecutionTemplate.Builder
Overrides

setVertexAiParameters(ExecutionTemplate.VertexAIParameters value)

public ExecutionTemplate.Builder setVertexAiParameters(ExecutionTemplate.VertexAIParameters value)

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Parameter
Name Description
value ExecutionTemplate.VertexAIParameters
Returns
Type Description
ExecutionTemplate.Builder

setVertexAiParameters(ExecutionTemplate.VertexAIParameters.Builder builderForValue)

public ExecutionTemplate.Builder setVertexAiParameters(ExecutionTemplate.VertexAIParameters.Builder builderForValue)

Parameters used in Vertex AI JobType executions.

.google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters vertex_ai_parameters = 13;

Parameter
Name Description
builderForValue ExecutionTemplate.VertexAIParameters.Builder
Returns
Type Description
ExecutionTemplate.Builder