pulumi-google-native-kotlin/com.pulumi.googlenative.ml.v1.kotlin.inputs/GoogleCloudMlV1__TrainingInputArgsBuilder/parameterServerConfig

parameterServerConfig

@JvmName(name = "wvlsdvoxhbsixcej")
suspend fun parameterServerConfig(value: Output<GoogleCloudMlV1__ReplicaConfigArgs>)
@JvmName(name = "monfmaqexafylepf")
suspend fun parameterServerConfig(value: GoogleCloudMlV1__ReplicaConfigArgs?)

Parameters

value

Optional. The configuration for parameter servers. You should only set parameterServerConfig.acceleratorConfig if parameterServerType is set to a Compute Engine machine type. /ai-platform/training/docs/using-gpus#compute-engine-machine-types-with-gpu Set parameterServerConfig&#46;imageUri only if you build a custom image for your parameter server. If parameterServerConfig&#46;imageUri has not been set, AI Platform uses the value of masterConfig&#46;imageUri. Learn more about /ai-platform/training/docs/distributed-training-containers.

@JvmName(name = "eruourkcbrjiluws")
suspend fun parameterServerConfig(argument: suspend GoogleCloudMlV1__ReplicaConfigArgsBuilder.() -> Unit)

Parameters

argument

Optional. The configuration for parameter servers. You should only set parameterServerConfig.acceleratorConfig if parameterServerType is set to a Compute Engine machine type. /ai-platform/training/docs/using-gpus#compute-engine-machine-types-with-gpu Set parameterServerConfig&#46;imageUri only if you build a custom image for your parameter server. If parameterServerConfig&#46;imageUri has not been set, AI Platform uses the value of masterConfig&#46;imageUri. Learn more about /ai-platform/training/docs/distributed-training-containers.