Uses of Class
onnx.Onnx.StringStringEntryProto

Packages that use Onnx.StringStringEntryProto

Package	Description
onnx

Uses of Onnx.StringStringEntryProto in onnx

Methods in onnx that return Onnx.StringStringEntryProto

Modifier and Type	Method	Description
Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.Builder.build()
Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.Builder.buildPartial()
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.getDefaultInstance()
Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.Builder.getDefaultInstanceForType()
Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.getDefaultInstanceForType()
Onnx.StringStringEntryProto	Onnx.TensorProto.Builder.getExternalData(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.StringStringEntryProto	Onnx.TensorProto.getExternalData(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.StringStringEntryProto	Onnx.TensorProtoOrBuilder.getExternalData(int index)	Data can be stored inside the protobuf file using type-specific fields or raw_data.
Onnx.StringStringEntryProto	Onnx.TrainingInfoProto.Builder.getInitializationBinding(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	Onnx.TrainingInfoProto.getInitializationBinding(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	Onnx.TrainingInfoProtoOrBuilder.getInitializationBinding(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	Onnx.ModelProto.Builder.getMetadataProps(int index)	Named metadata values; keys should be distinct.
Onnx.StringStringEntryProto	Onnx.ModelProto.getMetadataProps(int index)	Named metadata values; keys should be distinct.
Onnx.StringStringEntryProto	Onnx.ModelProtoOrBuilder.getMetadataProps(int index)	Named metadata values; keys should be distinct.
Onnx.StringStringEntryProto	Onnx.TensorAnnotation.Builder.getQuantParameterTensorNames(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.StringStringEntryProto	Onnx.TensorAnnotation.getQuantParameterTensorNames(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.StringStringEntryProto	Onnx.TensorAnnotationOrBuilder.getQuantParameterTensorNames(int index)	<key, value> pairs to annotate tensor specified by <tensor_name> above.
Onnx.StringStringEntryProto	Onnx.TrainingInfoProto.Builder.getUpdateBinding(int index)	Gradient-based training is usually an iterative procedure.
Onnx.StringStringEntryProto	Onnx.TrainingInfoProto.getUpdateBinding(int index)	Gradient-based training is usually an iterative procedure.
Onnx.StringStringEntryProto	Onnx.TrainingInfoProtoOrBuilder.getUpdateBinding(int index)	Gradient-based training is usually an iterative procedure.
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseDelimitedFrom(InputStream input)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(byte[] data)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(InputStream input)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(ByteBuffer data)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(org.nd4j.shade.protobuf.ByteString data)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
static Onnx.StringStringEntryProto	Onnx.StringStringEntryProto.parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)

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

Modifier and Type	Method	Description
List<Onnx.StringStringEntryProto>	Onnx.TensorProto.Builder.getExternalDataList()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
List<Onnx.StringStringEntryProto>	Onnx.TensorProto.getExternalDataList()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
List<Onnx.StringStringEntryProto>	Onnx.TensorProtoOrBuilder.getExternalDataList()	Data can be stored inside the protobuf file using type-specific fields or raw_data.
List<Onnx.StringStringEntryProto>	Onnx.TrainingInfoProto.Builder.getInitializationBindingList()	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>	Onnx.TrainingInfoProto.getInitializationBindingList()	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>	Onnx.TrainingInfoProtoOrBuilder.getInitializationBindingList()	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>	Onnx.ModelProto.Builder.getMetadataPropsList()	Named metadata values; keys should be distinct.
List<Onnx.StringStringEntryProto>	Onnx.ModelProto.getMetadataPropsList()	Named metadata values; keys should be distinct.
List<Onnx.StringStringEntryProto>	Onnx.ModelProtoOrBuilder.getMetadataPropsList()	Named metadata values; keys should be distinct.
org.nd4j.shade.protobuf.Parser<Onnx.StringStringEntryProto>	Onnx.StringStringEntryProto.getParserForType()
List<Onnx.StringStringEntryProto>	Onnx.TensorAnnotation.Builder.getQuantParameterTensorNamesList()	<key, value> pairs to annotate tensor specified by <tensor_name> above.
List<Onnx.StringStringEntryProto>	Onnx.TensorAnnotation.getQuantParameterTensorNamesList()	<key, value> pairs to annotate tensor specified by <tensor_name> above.
List<Onnx.StringStringEntryProto>	Onnx.TensorAnnotationOrBuilder.getQuantParameterTensorNamesList()	<key, value> pairs to annotate tensor specified by <tensor_name> above.
List<Onnx.StringStringEntryProto>	Onnx.TrainingInfoProto.Builder.getUpdateBindingList()	Gradient-based training is usually an iterative procedure.
List<Onnx.StringStringEntryProto>	Onnx.TrainingInfoProto.getUpdateBindingList()	Gradient-based training is usually an iterative procedure.
List<Onnx.StringStringEntryProto>	Onnx.TrainingInfoProtoOrBuilder.getUpdateBindingList()	Gradient-based training is usually an iterative procedure.
static org.nd4j.shade.protobuf.Parser<Onnx.StringStringEntryProto>	Onnx.StringStringEntryProto.parser()

Methods in onnx with parameters of type Onnx.StringStringEntryProto

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

Method parameters in onnx with type arguments of type Onnx.StringStringEntryProto

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