Uses of Class
org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
Packages that use Model.ModelProto.OptimizationParams.Builder
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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.modelModifier and TypeClassDescriptionstatic final classContains parameters of the model autotuning optimization.Methods in org.tensorflow.proto.data.model that return Model.ModelProto.OptimizationParams.BuilderModifier and TypeMethodDescriptionModel.ModelProto.OptimizationParams.Builder.addRepeatedField(Descriptors.FieldDescriptor field, Object value) Model.ModelProto.OptimizationParams.Builder.clear()Model.ModelProto.OptimizationParams.Builder.clearAlgorithm()Algorithm used for autotuning optimization.Model.ModelProto.OptimizationParams.Builder.clearCpuBudget()Number of available logical threads.Model.ModelProto.OptimizationParams.Builder.clearField(Descriptors.FieldDescriptor field) Model.ModelProto.OptimizationParams.Builder.clearModelInputTime()Time between two consecutive `GetNext` calls to the iterator represented by the output node.Model.ModelProto.OptimizationParams.Builder.clearOneof(Descriptors.OneofDescriptor oneof) Model.ModelProto.OptimizationParams.Builder.clearRamBudget()Amount of available memory in bytes.Model.ModelProto.OptimizationParams.Builder.clone()Model.ModelProto.Builder.getOptimizationParamsBuilder().tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;Model.ModelProto.OptimizationParams.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) Model.ModelProto.OptimizationParams.Builder.mergeFrom(Model.ModelProto.OptimizationParams other) Model.ModelProto.OptimizationParams.Builder.mergeUnknownFields(UnknownFieldSet unknownFields) Model.ModelProto.OptimizationParams.newBuilder()Model.ModelProto.OptimizationParams.newBuilder(Model.ModelProto.OptimizationParams prototype) Model.ModelProto.OptimizationParams.newBuilderForType()Model.ModelProto.OptimizationParams.newBuilderForType(GeneratedMessageV3.BuilderParent parent) Model.ModelProto.OptimizationParams.Builder.setAlgorithm(Model.AutotuneAlgorithm value) Algorithm used for autotuning optimization.Model.ModelProto.OptimizationParams.Builder.setAlgorithmValue(int value) Algorithm used for autotuning optimization.Model.ModelProto.OptimizationParams.Builder.setCpuBudget(long value) Number of available logical threads.Model.ModelProto.OptimizationParams.Builder.setField(Descriptors.FieldDescriptor field, Object value) 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.setRamBudget(long value) Amount of available memory in bytes.Model.ModelProto.OptimizationParams.Builder.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value) Model.ModelProto.OptimizationParams.Builder.setUnknownFields(UnknownFieldSet unknownFields) Model.ModelProto.OptimizationParams.toBuilder()Methods in org.tensorflow.proto.data.model with parameters of type Model.ModelProto.OptimizationParams.BuilderModifier and TypeMethodDescriptionModel.ModelProto.Builder.setOptimizationParams(Model.ModelProto.OptimizationParams.Builder builderForValue) .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;