Uses of Class
onnx.OnnxMl.StringStringEntryProto.Builder

Packages that use OnnxMl.StringStringEntryProto.Builder

Package	Description
onnx

Uses of OnnxMl.StringStringEntryProto.Builder in onnx

Methods in onnx that return OnnxMl.StringStringEntryProto.Builder

Modifier and Type	Method	Description
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TensorProto.Builder.addExternalDataBuilder()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TensorProto.Builder.addExternalDataBuilder(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.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.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.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.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.ModelProto.Builder.addMetadataPropsBuilder()	Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.ModelProto.Builder.addMetadataPropsBuilder(int index)	Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TensorAnnotation.Builder.addQuantParameterTensorNamesBuilder()	<key, value> pairs to annotate tensor specified by <tensor_name> above.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TensorAnnotation.Builder.addQuantParameterTensorNamesBuilder(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TrainingInfoProto.Builder.addUpdateBindingBuilder()	Gradient-based training is usually an iterative procedure.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TrainingInfoProto.Builder.addUpdateBindingBuilder(int index)	Gradient-based training is usually an iterative procedure.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.clear()
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.clearKey()	string key = 1;
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.clearValue()	string value = 2;
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.clone()
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TensorProto.Builder.getExternalDataBuilder(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.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.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.ModelProto.Builder.getMetadataPropsBuilder(int index)	Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TensorAnnotation.Builder.getQuantParameterTensorNamesBuilder(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.TrainingInfoProto.Builder.getUpdateBindingBuilder(int index)	Gradient-based training is usually an iterative procedure.
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.mergeFrom(OnnxMl.StringStringEntryProto other)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
static OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.newBuilder()
static OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.newBuilder(OnnxMl.StringStringEntryProto prototype)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.newBuilderForType()
protected OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setKey(String value)	string key = 1;
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setKeyBytes(org.nd4j.shade.protobuf.ByteString value)	string key = 1;
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setValue(String value)	string value = 2;
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.Builder.setValueBytes(org.nd4j.shade.protobuf.ByteString value)	string value = 2;
OnnxMl.StringStringEntryProto.Builder	OnnxMl.StringStringEntryProto.toBuilder()

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

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

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

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