Uses of Class
onnx.Onnx.TrainingInfoProto.Builder

Packages that use Onnx.TrainingInfoProto.Builder

Package	Description
onnx

Uses of Onnx.TrainingInfoProto.Builder in onnx

Methods in onnx that return Onnx.TrainingInfoProto.Builder

Modifier and Type	Method	Description
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addAllInitializationBinding(Iterable<? extends Onnx.StringStringEntryProto> values)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addAllUpdateBinding(Iterable<? extends Onnx.StringStringEntryProto> values)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addInitializationBinding(int index, Onnx.StringStringEntryProto value)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addInitializationBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addInitializationBinding(Onnx.StringStringEntryProto value)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addInitializationBinding(Onnx.StringStringEntryProto.Builder builderForValue)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
Onnx.TrainingInfoProto.Builder	Onnx.ModelProto.Builder.addTrainingInfoBuilder()	Training-specific information.
Onnx.TrainingInfoProto.Builder	Onnx.ModelProto.Builder.addTrainingInfoBuilder(int index)	Training-specific information.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addUpdateBinding(int index, Onnx.StringStringEntryProto value)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addUpdateBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addUpdateBinding(Onnx.StringStringEntryProto value)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.addUpdateBinding(Onnx.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clear()
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clearAlgorithm()	This field represents a training algorithm step.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clearInitialization()	This field describes a graph to compute the initial tensors upon starting the training process.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clearInitializationBinding()	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clearUpdateBinding()	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.clone()
Onnx.TrainingInfoProto.Builder	Onnx.ModelProto.Builder.getTrainingInfoBuilder(int index)	Training-specific information.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.mergeAlgorithm(Onnx.GraphProto value)	This field represents a training algorithm step.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.mergeFrom(Onnx.TrainingInfoProto other)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.mergeInitialization(Onnx.GraphProto value)	This field describes a graph to compute the initial tensors upon starting the training process.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
static Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.newBuilder()
static Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.newBuilder(Onnx.TrainingInfoProto prototype)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.newBuilderForType()
protected Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.removeInitializationBinding(int index)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.removeUpdateBinding(int index)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setAlgorithm(Onnx.GraphProto value)	This field represents a training algorithm step.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setAlgorithm(Onnx.GraphProto.Builder builderForValue)	This field represents a training algorithm step.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setInitialization(Onnx.GraphProto value)	This field describes a graph to compute the initial tensors upon starting the training process.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setInitialization(Onnx.GraphProto.Builder builderForValue)	This field describes a graph to compute the initial tensors upon starting the training process.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setInitializationBinding(int index, Onnx.StringStringEntryProto value)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setInitializationBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setUpdateBinding(int index, Onnx.StringStringEntryProto value)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setUpdateBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.toBuilder()

Methods in onnx that return types with arguments of type Onnx.TrainingInfoProto.Builder

Modifier and Type	Method	Description
List<Onnx.TrainingInfoProto.Builder>	Onnx.ModelProto.Builder.getTrainingInfoBuilderList()	Training-specific information.

Methods in onnx with parameters of type Onnx.TrainingInfoProto.Builder

Modifier and Type	Method	Description
Onnx.ModelProto.Builder	Onnx.ModelProto.Builder.addTrainingInfo(int index, Onnx.TrainingInfoProto.Builder builderForValue)	Training-specific information.
Onnx.ModelProto.Builder	Onnx.ModelProto.Builder.addTrainingInfo(Onnx.TrainingInfoProto.Builder builderForValue)	Training-specific information.
Onnx.ModelProto.Builder	Onnx.ModelProto.Builder.setTrainingInfo(int index, Onnx.TrainingInfoProto.Builder builderForValue)	Training-specific information.