ml  v1
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Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ReplicaConfig Class Reference

Represents the configuration for a replica in a cluster. More...

Inheritance diagram for Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ReplicaConfig:
Google::Apis::Requests::IDirectResponseSchema

Properties

virtual GoogleCloudMlV1AcceleratorConfig AcceleratorConfig [get, set]
 Represents the type and number of accelerators used by the replica. Learn about restrictions on accelerator configurations for training. More...
 
virtual string ImageUri [get, set]
 The Docker image to run on the replica. This image must be in Container Registry. Learn more about configuring custom containers. More...
 
virtual string TpuTfVersion [get, set]
 The AI Platform runtime version that includes a TensorFlow version matching the one used in the custom container. This field is required if the replica is a TPU worker that uses a custom container. Otherwise, do not specify this field. This must be a runtime version that currently supports training with TPUs. More...
 
virtual string ETag [get, set]
 The ETag of the item. More...
 
- Properties inherited from Google::Apis::Requests::IDirectResponseSchema
string ETag
 

Detailed Description

Represents the configuration for a replica in a cluster.

Property Documentation

◆ AcceleratorConfig

virtual GoogleCloudMlV1AcceleratorConfig Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ReplicaConfig.AcceleratorConfig
getset

Represents the type and number of accelerators used by the replica. Learn about restrictions on accelerator configurations for training.

◆ ETag

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ReplicaConfig.ETag
getset

The ETag of the item.

◆ ImageUri

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ReplicaConfig.ImageUri
getset

The Docker image to run on the replica. This image must be in Container Registry. Learn more about configuring custom containers.

◆ TpuTfVersion

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1ReplicaConfig.TpuTfVersion
getset

The AI Platform runtime version that includes a TensorFlow version matching the one used in the custom container. This field is required if the replica is a TPU worker that uses a custom container. Otherwise, do not specify this field. This must be a runtime version that currently supports training with TPUs.

Note that the version of TensorFlow included in a runtime version may differ from the numbering of the runtime version itself, because it may have a different patch version. In this field, you must specify the runtime version (TensorFlow minor version). For example, if your custom container runs TensorFlow 1.x.y, specify 1.x.

The documentation for this class was generated from the following file: