Uses of Class
onnx.Onnx.StringStringEntryProto.Builder

Packages that use Onnx.StringStringEntryProto.Builder

Package	Description
onnx

Uses of Onnx.StringStringEntryProto.Builder in onnx

Methods in onnx that return Onnx.StringStringEntryProto.Builder

Modifier and Type	Method	Description
Onnx.StringStringEntryProto.Builder	Onnx.TensorProto.Builder.addExternalDataBuilder()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.StringStringEntryProto.Builder	Onnx.TensorProto.Builder.addExternalDataBuilder(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.StringStringEntryProto.Builder	Onnx.TrainingInfoProto.Builder.addInitializationBindingBuilder()	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.StringStringEntryProto.Builder	Onnx.TrainingInfoProto.Builder.addInitializationBindingBuilder(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.StringStringEntryProto.Builder	Onnx.ModelProto.Builder.addMetadataPropsBuilder()	Named metadata values; keys should be distinct.
Onnx.StringStringEntryProto.Builder	Onnx.ModelProto.Builder.addMetadataPropsBuilder(int index)	Named metadata values; keys should be distinct.
Onnx.StringStringEntryProto.Builder	Onnx.TensorAnnotation.Builder.addQuantParameterTensorNamesBuilder()	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.StringStringEntryProto.Builder	Onnx.TensorAnnotation.Builder.addQuantParameterTensorNamesBuilder(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Onnx.StringStringEntryProto.Builder	Onnx.TrainingInfoProto.Builder.addUpdateBindingBuilder()	Gradient-based training is usually an iterative procedure.
Onnx.StringStringEntryProto.Builder	Onnx.TrainingInfoProto.Builder.addUpdateBindingBuilder(int index)	Gradient-based training is usually an iterative procedure.
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.clear()
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.clearKey()	optional string key = 1;
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.clearValue()	optional string value = 2;
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.clone()
Onnx.StringStringEntryProto.Builder	Onnx.TensorProto.Builder.getExternalDataBuilder(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.StringStringEntryProto.Builder	Onnx.TrainingInfoProto.Builder.getInitializationBindingBuilder(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.StringStringEntryProto.Builder	Onnx.ModelProto.Builder.getMetadataPropsBuilder(int index)	Named metadata values; keys should be distinct.
Onnx.StringStringEntryProto.Builder	Onnx.TensorAnnotation.Builder.getQuantParameterTensorNamesBuilder(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.StringStringEntryProto.Builder	Onnx.TrainingInfoProto.Builder.getUpdateBindingBuilder(int index)	Gradient-based training is usually an iterative procedure.
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.mergeFrom(com.google.protobuf.Message other)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.mergeFrom(Onnx.StringStringEntryProto other)
final Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.newBuilder()
static Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.newBuilder(Onnx.StringStringEntryProto prototype)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.newBuilderForType()
protected Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setKey(String value)	optional string key = 1;
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setKeyBytes(com.google.protobuf.ByteString value)	optional string key = 1;
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
final Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setValue(String value)	optional string value = 2;
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.Builder.setValueBytes(com.google.protobuf.ByteString value)	optional string value = 2;
Onnx.StringStringEntryProto.Builder	Onnx.StringStringEntryProto.toBuilder()

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

Modifier and Type	Method	Description
List<Onnx.StringStringEntryProto.Builder>	Onnx.TensorProto.Builder.getExternalDataBuilderList()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
List<Onnx.StringStringEntryProto.Builder>	Onnx.TrainingInfoProto.Builder.getInitializationBindingBuilderList()	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.
List<Onnx.StringStringEntryProto.Builder>	Onnx.ModelProto.Builder.getMetadataPropsBuilderList()	Named metadata values; keys should be distinct.
List<Onnx.StringStringEntryProto.Builder>	Onnx.TensorAnnotation.Builder.getQuantParameterTensorNamesBuilderList()	<key, value> pairs to annotate tensor specified by <tensor_name> above.
List<Onnx.StringStringEntryProto.Builder>	Onnx.TrainingInfoProto.Builder.getUpdateBindingBuilderList()	Gradient-based training is usually an iterative procedure.

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

Modifier and Type	Method	Description
Onnx.TensorProto.Builder	Onnx.TensorProto.Builder.addExternalData(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.TensorProto.Builder	Onnx.TensorProto.Builder.addExternalData(Onnx.StringStringEntryProto.Builder builderForValue)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
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.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.ModelProto.Builder	Onnx.ModelProto.Builder.addMetadataProps(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Named metadata values; keys should be distinct.
Onnx.ModelProto.Builder	Onnx.ModelProto.Builder.addMetadataProps(Onnx.StringStringEntryProto.Builder builderForValue)	Named metadata values; keys should be distinct.
Onnx.TensorAnnotation.Builder	Onnx.TensorAnnotation.Builder.addQuantParameterTensorNames(int index, Onnx.StringStringEntryProto.Builder builderForValue)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.TensorAnnotation.Builder	Onnx.TensorAnnotation.Builder.addQuantParameterTensorNames(Onnx.StringStringEntryProto.Builder builderForValue)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
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.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
Onnx.TensorProto.Builder	Onnx.TensorProto.Builder.setExternalData(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
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.ModelProto.Builder	Onnx.ModelProto.Builder.setMetadataProps(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Named metadata values; keys should be distinct.
Onnx.TensorAnnotation.Builder	Onnx.TensorAnnotation.Builder.setQuantParameterTensorNames(int index, Onnx.StringStringEntryProto.Builder builderForValue)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.TrainingInfoProto.Builder	Onnx.TrainingInfoProto.Builder.setUpdateBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.