Class ExecutionTemplate.Builder

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

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ExecutionTemplate.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
ExecutionTemplate.Builder
Overrides

build()

public ExecutionTemplate build()
Returns
TypeDescription
ExecutionTemplate

buildPartial()

public ExecutionTemplate buildPartial()
Returns
TypeDescription
ExecutionTemplate

clear()

public ExecutionTemplate.Builder clear()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
ExecutionTemplate.Builder

clearField(Descriptors.FieldDescriptor field)

public ExecutionTemplate.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
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://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb

string input_notebook_file = 5;

Returns
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

clearJobParameters()

public ExecutionTemplate.Builder clearJobParameters()
Returns
TypeDescription
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
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

clearLabels()

public ExecutionTemplate.Builder clearLabels()
Returns
TypeDescription
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
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ExecutionTemplate.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
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://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks

string output_notebook_folder = 7;

Returns
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

clearParameters()

public ExecutionTemplate.Builder clearParameters()

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Returns
TypeDescription
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
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

clearScaleTier()

public ExecutionTemplate.Builder clearScaleTier()

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
TypeDescription
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
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

clone()

public ExecutionTemplate.Builder clone()
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
ExecutionTemplate.DataprocParameters.Builder

getDataprocParametersOrBuilder()

public ExecutionTemplate.DataprocParametersOrBuilder getDataprocParametersOrBuilder()

Parameters used in Dataproc JobType executions.

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

Returns
TypeDescription
ExecutionTemplate.DataprocParametersOrBuilder

getDefaultInstanceForType()

public ExecutionTemplate getDefaultInstanceForType()
Returns
TypeDescription
ExecutionTemplate

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getInputNotebookFile()

public String getInputNotebookFile()

Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb

string input_notebook_file = 5;

Returns
TypeDescription
String

The inputNotebookFile.

getInputNotebookFileBytes()

public ByteString getInputNotebookFileBytes()

Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb

string input_notebook_file = 5;

Returns
TypeDescription
ByteString

The bytes for inputNotebookFile.

getJobParametersCase()

public ExecutionTemplate.JobParametersCase getJobParametersCase()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
int

The enum numeric value on the wire for jobType.

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
keyString
defaultValueString
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
ByteString

The bytes for masterType.

getMutableLabels()

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
TypeDescription
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://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks

string output_notebook_folder = 7;

Returns
TypeDescription
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://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks

string output_notebook_folder = 7;

Returns
TypeDescription
ByteString

The bytes for outputNotebookFolder.

getParameters()

public String getParameters()

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Returns
TypeDescription
String

The parameters.

getParametersBytes()

public ByteString getParametersBytes()

Parameters used within the 'input_notebook_file' notebook.

string parameters = 9;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
ByteString

The bytes for paramsYamlFile.

getScaleTier()

public ExecutionTemplate.ScaleTier getScaleTier()

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
TypeDescription
ExecutionTemplate.ScaleTier

The scaleTier.

getScaleTierValue()

public int getScaleTierValue()

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
TypeDescription
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
TypeDescription
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
TypeDescription
ByteString

The bytes for serviceAccount.

hasAcceleratorConfig()

public boolean hasAcceleratorConfig()

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

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

Returns
TypeDescription
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
TypeDescription
boolean

Whether the dataprocParameters field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
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
NameDescription
valueExecutionTemplate.SchedulerAcceleratorConfig
Returns
TypeDescription
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
NameDescription
valueExecutionTemplate.DataprocParameters
Returns
TypeDescription
ExecutionTemplate.Builder

mergeFrom(ExecutionTemplate other)

public ExecutionTemplate.Builder mergeFrom(ExecutionTemplate other)
Parameter
NameDescription
otherExecutionTemplate
Returns
TypeDescription
ExecutionTemplate.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ExecutionTemplate.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExecutionTemplate.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public ExecutionTemplate.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
ExecutionTemplate.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ExecutionTemplate.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
ExecutionTemplate.Builder
Overrides

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
NameDescription
valuesMap<String,String>
Returns
TypeDescription
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
NameDescription
keyString
valueString
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
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
NameDescription
valueExecutionTemplate.SchedulerAcceleratorConfig
Returns
TypeDescription
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
NameDescription
builderForValueExecutionTemplate.SchedulerAcceleratorConfig.Builder
Returns
TypeDescription
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
NameDescription
valueString

The containerImageUri to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for containerImageUri to set.

Returns
TypeDescription
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
NameDescription
valueExecutionTemplate.DataprocParameters
Returns
TypeDescription
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
NameDescription
builderForValueExecutionTemplate.DataprocParameters.Builder
Returns
TypeDescription
ExecutionTemplate.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ExecutionTemplate.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
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://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb

string input_notebook_file = 5;

Parameter
NameDescription
valueString

The inputNotebookFile to set.

Returns
TypeDescription
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://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb

string input_notebook_file = 5;

Parameter
NameDescription
valueByteString

The bytes for inputNotebookFile to set.

Returns
TypeDescription
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
NameDescription
valueExecutionTemplate.JobType

The jobType to set.

Returns
TypeDescription
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
NameDescription
valueint

The enum numeric value on the wire for jobType to set.

Returns
TypeDescription
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
NameDescription
valueString

The masterType to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for masterType to set.

Returns
TypeDescription
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://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks

string output_notebook_folder = 7;

Parameter
NameDescription
valueString

The outputNotebookFolder to set.

Returns
TypeDescription
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://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks

string output_notebook_folder = 7;

Parameter
NameDescription
valueByteString

The bytes for outputNotebookFolder to set.

Returns
TypeDescription
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
NameDescription
valueString

The parameters to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for parameters to set.

Returns
TypeDescription
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
NameDescription
valueString

The paramsYamlFile to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for paramsYamlFile to set.

Returns
TypeDescription
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
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
ExecutionTemplate.Builder
Overrides

setScaleTier(ExecutionTemplate.ScaleTier value)

public ExecutionTemplate.Builder setScaleTier(ExecutionTemplate.ScaleTier value)

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
NameDescription
valueExecutionTemplate.ScaleTier

The scaleTier to set.

Returns
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

setScaleTierValue(int value)

public ExecutionTemplate.Builder setScaleTierValue(int value)

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
NameDescription
valueint

The enum numeric value on the wire for scaleTier to set.

Returns
TypeDescription
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
NameDescription
valueString

The serviceAccount to set.

Returns
TypeDescription
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
NameDescription
valueByteString

The bytes for serviceAccount to set.

Returns
TypeDescription
ExecutionTemplate.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final ExecutionTemplate.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
ExecutionTemplate.Builder
Overrides