Class: Google::Apis::MlV1::GoogleCloudMlV1ReplicaConfig

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/ml_v1/classes.rb,
generated/google/apis/ml_v1/representations.rb,
generated/google/apis/ml_v1/representations.rb

Overview

Represents the configuration for a replica in a cluster.

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ GoogleCloudMlV1ReplicaConfig

Returns a new instance of GoogleCloudMlV1ReplicaConfig.



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# File 'generated/google/apis/ml_v1/classes.rb', line 1960

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#accelerator_config ⇒ Google::Apis::MlV1::GoogleCloudMlV1AcceleratorConfig

Represents a hardware accelerator request config. Note that the AcceleratorConfig can be used in both Jobs and Versions. Learn more about accelerators for training and accelerators for online prediction. Corresponds to the JSON property acceleratorConfig

Returns:



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# File 'generated/google/apis/ml_v1/classes.rb', line 1933

def accelerator_config
  @accelerator_config
end

#image_uri ⇒ String

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

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1940

def image_uri
  @image_uri
end

#tpu_tf_version ⇒ String

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. Corresponds to the JSON property tpuTfVersion

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1958

def tpu_tf_version
  @tpu_tf_version
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/ml_v1/classes.rb', line 1965

def update!(**args)
  @accelerator_config = args[:accelerator_config] if args.key?(:accelerator_config)
  @image_uri = args[:image_uri] if args.key?(:image_uri)
  @tpu_tf_version = args[:tpu_tf_version] if args.key?(:tpu_tf_version)
end