Uses of Class
onnx.OnnxMl.GraphProto

Packages that use OnnxMl.GraphProto

Package	Description
onnx

Uses of OnnxMl.GraphProto in onnx

Methods in onnx that return OnnxMl.GraphProto

Modifier and Type	Method	Description
OnnxMl.GraphProto	OnnxMl.GraphProto.Builder.build()
OnnxMl.GraphProto	OnnxMl.GraphProto.Builder.buildPartial()
OnnxMl.GraphProto	OnnxMl.TrainingInfoProto.Builder.getAlgorithm()	This field represents a training algorithm step.
OnnxMl.GraphProto	OnnxMl.TrainingInfoProto.getAlgorithm()	This field represents a training algorithm step.
OnnxMl.GraphProto	OnnxMl.TrainingInfoProtoOrBuilder.getAlgorithm()	This field represents a training algorithm step.
static OnnxMl.GraphProto	OnnxMl.GraphProto.getDefaultInstance()
OnnxMl.GraphProto	OnnxMl.GraphProto.Builder.getDefaultInstanceForType()
OnnxMl.GraphProto	OnnxMl.GraphProto.getDefaultInstanceForType()
OnnxMl.GraphProto	OnnxMl.AttributeProto.Builder.getG()	graph
OnnxMl.GraphProto	OnnxMl.AttributeProto.getG()	graph
OnnxMl.GraphProto	OnnxMl.AttributeProtoOrBuilder.getG()	graph
OnnxMl.GraphProto	OnnxMl.ModelProto.Builder.getGraph()	The parameterized graph that is evaluated to execute the model.
OnnxMl.GraphProto	OnnxMl.ModelProto.getGraph()	The parameterized graph that is evaluated to execute the model.
OnnxMl.GraphProto	OnnxMl.ModelProtoOrBuilder.getGraph()	The parameterized graph that is evaluated to execute the model.
OnnxMl.GraphProto	OnnxMl.AttributeProto.Builder.getGraphs(int index)	list of graph
OnnxMl.GraphProto	OnnxMl.AttributeProto.getGraphs(int index)	list of graph
OnnxMl.GraphProto	OnnxMl.AttributeProtoOrBuilder.getGraphs(int index)	list of graph
OnnxMl.GraphProto	OnnxMl.TrainingInfoProto.Builder.getInitialization()	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.GraphProto	OnnxMl.TrainingInfoProto.getInitialization()	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.GraphProto	OnnxMl.TrainingInfoProtoOrBuilder.getInitialization()	This field describes a graph to compute the initial tensors upon starting the training process.
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseDelimitedFrom(InputStream input)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(byte[] data)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(InputStream input)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(ByteBuffer data)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(org.nd4j.shade.protobuf.ByteString data)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
static OnnxMl.GraphProto	OnnxMl.GraphProto.parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)

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

Modifier and Type	Method	Description
List<OnnxMl.GraphProto>	OnnxMl.AttributeProto.Builder.getGraphsList()	list of graph
List<OnnxMl.GraphProto>	OnnxMl.AttributeProto.getGraphsList()	list of graph
List<OnnxMl.GraphProto>	OnnxMl.AttributeProtoOrBuilder.getGraphsList()	list of graph
org.nd4j.shade.protobuf.Parser<OnnxMl.GraphProto>	OnnxMl.GraphProto.getParserForType()
static org.nd4j.shade.protobuf.Parser<OnnxMl.GraphProto>	OnnxMl.GraphProto.parser()

Methods in onnx with parameters of type OnnxMl.GraphProto

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

Method parameters in onnx with type arguments of type OnnxMl.GraphProto

Modifier and Type	Method	Description
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addAllGraphs(Iterable<? extends OnnxMl.GraphProto> values)	list of graph