google_api_machine_learning v0.13.0 GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ReplicaConfig View Source
Represents the configuration for a replica in a cluster.
Attributes
acceleratorConfig
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_AcceleratorConfig.t
, default:nil
) - Represents the type and number of accelerators used by the replica. Learn about restrictions on accelerator configurations for training.imageUri
(type:String.t
, default:nil
) - The Docker image to run on the replica. This image must be in Container Registry. Learn more about configuring custom containers.tpuTfVersion
(type:String.t
, default:nil
) - 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
, specify1.x
.
Link to this section Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Link to this section Types
t()
View Sourcet() :: %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ReplicaConfig{ acceleratorConfig: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_AcceleratorConfig.t(), imageUri: String.t(), tpuTfVersion: String.t() }
Link to this section Functions
Unwrap a decoded JSON object into its complex fields.