Uses of Class
org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder

Packages that use Model.ModelProto.OptimizationParams.Builder

Package	Description
org.tensorflow.proto.data.model

Uses of Model.ModelProto.OptimizationParams.Builder in org.tensorflow.proto.data.model

Subclasses with type arguments of type Model.ModelProto.OptimizationParams.Builder in org.tensorflow.proto.data.model

Modifier and Type	Class	Description
static final class	Model.ModelProto.OptimizationParams.Builder	Contains parameters of the model autotuning optimization.

Methods in org.tensorflow.proto.data.model that return Model.ModelProto.OptimizationParams.Builder

Modifier and Type	Method	Description
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.clear()
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.clearAlgorithm()	Algorithm used for autotuning optimization.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.clearCpuBudget()	Number of available logical threads.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.clearModelInputTime()	Time between two consecutive `GetNext` calls to the iterator represented by the output node.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.clearRamBudget()	Amount of available memory in bytes.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.Builder.getOptimizationParamsBuilder()	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.mergeFrom(Message other)
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.mergeFrom(Model.ModelProto.OptimizationParams other)
static Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.newBuilder()
static Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.newBuilder(Model.ModelProto.OptimizationParams prototype)
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.newBuilderForType()
protected Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.newBuilderForType(AbstractMessage.BuilderParent parent)
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.setAlgorithm(Model.AutotuneAlgorithm value)	Algorithm used for autotuning optimization.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.setAlgorithmValue(int value)	Algorithm used for autotuning optimization.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.setCpuBudget(long value)	Number of available logical threads.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.setModelInputTime(double value)	Time between two consecutive `GetNext` calls to the iterator represented by the output node.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.Builder.setRamBudget(long value)	Amount of available memory in bytes.
Model.ModelProto.OptimizationParams.Builder	Model.ModelProto.OptimizationParams.toBuilder()

Methods in org.tensorflow.proto.data.model with parameters of type Model.ModelProto.OptimizationParams.Builder

Modifier and Type	Method	Description
Model.ModelProto.Builder	Model.ModelProto.Builder.setOptimizationParams(Model.ModelProto.OptimizationParams.Builder builderForValue)	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;