Uses of Class
onnx.OnnxMl.GraphProto.Builder

Packages that use OnnxMl.GraphProto.Builder

Package	Description
onnx

Uses of OnnxMl.GraphProto.Builder in onnx

Methods in onnx that return OnnxMl.GraphProto.Builder

Modifier and Type	Method	Description
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllInitializer(Iterable<? extends OnnxMl.TensorProto> values)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllInput(Iterable<? extends OnnxMl.ValueInfoProto> values)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllNode(Iterable<? extends OnnxMl.NodeProto> values)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllOutput(Iterable<? extends OnnxMl.ValueInfoProto> values)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllQuantizationAnnotation(Iterable<? extends OnnxMl.TensorAnnotation> values)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllSparseInitializer(Iterable<? extends OnnxMl.SparseTensorProto> values)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllValueInfo(Iterable<? extends OnnxMl.ValueInfoProto> values)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.AttributeProto.Builder.addGraphsBuilder()	list of graph
OnnxMl.GraphProto.Builder	OnnxMl.AttributeProto.Builder.addGraphsBuilder(int index)	list of graph
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInitializer(int index, OnnxMl.TensorProto value)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInitializer(int index, OnnxMl.TensorProto.Builder builderForValue)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInitializer(OnnxMl.TensorProto value)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInitializer(OnnxMl.TensorProto.Builder builderForValue)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInput(int index, OnnxMl.ValueInfoProto value)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInput(OnnxMl.ValueInfoProto value)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addInput(OnnxMl.ValueInfoProto.Builder builderForValue)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addNode(int index, OnnxMl.NodeProto value)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addNode(int index, OnnxMl.NodeProto.Builder builderForValue)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addNode(OnnxMl.NodeProto value)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addNode(OnnxMl.NodeProto.Builder builderForValue)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addOutput(int index, OnnxMl.ValueInfoProto value)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addOutput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addOutput(OnnxMl.ValueInfoProto value)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addOutput(OnnxMl.ValueInfoProto.Builder builderForValue)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addQuantizationAnnotation(int index, OnnxMl.TensorAnnotation value)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addQuantizationAnnotation(int index, OnnxMl.TensorAnnotation.Builder builderForValue)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addQuantizationAnnotation(OnnxMl.TensorAnnotation value)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addQuantizationAnnotation(OnnxMl.TensorAnnotation.Builder builderForValue)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializer(int index, OnnxMl.SparseTensorProto value)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializer(OnnxMl.SparseTensorProto value)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializer(OnnxMl.SparseTensorProto.Builder builderForValue)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addValueInfo(int index, OnnxMl.ValueInfoProto value)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addValueInfo(int index, OnnxMl.ValueInfoProto.Builder builderForValue)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addValueInfo(OnnxMl.ValueInfoProto value)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addValueInfo(OnnxMl.ValueInfoProto.Builder builderForValue)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clear()
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearDocString()	A human-readable documentation for this graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearInitializer()	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearInput()	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearName()	The name of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearNode()	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearOutput()	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearQuantizationAnnotation()	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearSparseInitializer()	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clearValueInfo()	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.clone()
OnnxMl.GraphProto.Builder	OnnxMl.TrainingInfoProto.Builder.getAlgorithmBuilder()	This field represents a training algorithm step.
OnnxMl.GraphProto.Builder	OnnxMl.AttributeProto.Builder.getGBuilder()	graph
OnnxMl.GraphProto.Builder	OnnxMl.ModelProto.Builder.getGraphBuilder()	The parameterized graph that is evaluated to execute the model.
OnnxMl.GraphProto.Builder	OnnxMl.AttributeProto.Builder.getGraphsBuilder(int index)	list of graph
OnnxMl.GraphProto.Builder	OnnxMl.TrainingInfoProto.Builder.getInitializationBuilder()	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.mergeFrom(OnnxMl.GraphProto other)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
static OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.newBuilder()
static OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.newBuilder(OnnxMl.GraphProto prototype)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.newBuilderForType()
protected OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeInitializer(int index)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeInput(int index)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeNode(int index)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeOutput(int index)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeQuantizationAnnotation(int index)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeSparseInitializer(int index)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.removeValueInfo(int index)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setDocString(String value)	A human-readable documentation for this graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)	A human-readable documentation for this graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setInitializer(int index, OnnxMl.TensorProto value)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setInitializer(int index, OnnxMl.TensorProto.Builder builderForValue)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setInput(int index, OnnxMl.ValueInfoProto value)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setInput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)	The inputs and outputs of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setName(String value)	The name of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setNameBytes(org.nd4j.shade.protobuf.ByteString value)	The name of the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setNode(int index, OnnxMl.NodeProto value)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setNode(int index, OnnxMl.NodeProto.Builder builderForValue)	The nodes in the graph, sorted topologically.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setOutput(int index, OnnxMl.ValueInfoProto value)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setOutput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)	repeated .onnx.ValueInfoProto output = 12;
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setQuantizationAnnotation(int index, OnnxMl.TensorAnnotation value)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setQuantizationAnnotation(int index, OnnxMl.TensorAnnotation.Builder builderForValue)	This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setSparseInitializer(int index, OnnxMl.SparseTensorProto value)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setValueInfo(int index, OnnxMl.ValueInfoProto value)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setValueInfo(int index, OnnxMl.ValueInfoProto.Builder builderForValue)	Information for the values in the graph.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.toBuilder()

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

Modifier and Type	Method	Description
List<OnnxMl.GraphProto.Builder>	OnnxMl.AttributeProto.Builder.getGraphsBuilderList()	list of graph

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

Modifier and Type	Method	Description
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addGraphs(int index, OnnxMl.GraphProto.Builder builderForValue)	list of graph
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addGraphs(OnnxMl.GraphProto.Builder builderForValue)	list of graph
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setAlgorithm(OnnxMl.GraphProto.Builder builderForValue)	This field represents a training algorithm step.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setG(OnnxMl.GraphProto.Builder builderForValue)	graph
OnnxMl.ModelProto.Builder	OnnxMl.ModelProto.Builder.setGraph(OnnxMl.GraphProto.Builder builderForValue)	The parameterized graph that is evaluated to execute the model.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setGraphs(int index, OnnxMl.GraphProto.Builder builderForValue)	list of graph
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setInitialization(OnnxMl.GraphProto.Builder builderForValue)	This field describes a graph to compute the initial tensors upon starting the training process.