Uses of Class
ai.onnx.proto.OnnxMl.GraphProto
Packages that use OnnxMl.GraphProto
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Uses of OnnxMl.GraphProto in ai.onnx.proto
Fields in ai.onnx.proto with type parameters of type OnnxMl.GraphProtoModifier and TypeFieldDescriptionstatic final com.google.protobuf.Parser<OnnxMl.GraphProto>OnnxMl.GraphProto.PARSERDeprecated.Methods in ai.onnx.proto that return OnnxMl.GraphProtoModifier and TypeMethodDescriptionOnnxMl.GraphProto.Builder.build()OnnxMl.GraphProto.Builder.buildPartial()OnnxMl.TrainingInfoProto.Builder.getAlgorithm()This field represents a training algorithm step.OnnxMl.TrainingInfoProto.getAlgorithm()This field represents a training algorithm step.OnnxMl.TrainingInfoProtoOrBuilder.getAlgorithm()This field represents a training algorithm step.static OnnxMl.GraphProtoOnnxMl.GraphProto.getDefaultInstance()OnnxMl.GraphProto.Builder.getDefaultInstanceForType()OnnxMl.GraphProto.getDefaultInstanceForType()OnnxMl.AttributeProto.Builder.getG()graphOnnxMl.AttributeProto.getG()graphOnnxMl.AttributeProtoOrBuilder.getG()graphOnnxMl.ModelProto.Builder.getGraph()The parameterized graph that is evaluated to execute the model.OnnxMl.ModelProto.getGraph()The parameterized graph that is evaluated to execute the model.OnnxMl.ModelProtoOrBuilder.getGraph()The parameterized graph that is evaluated to execute the model.OnnxMl.AttributeProto.Builder.getGraphs(int index) list of graphOnnxMl.AttributeProto.getGraphs(int index) list of graphOnnxMl.AttributeProtoOrBuilder.getGraphs(int index) list of graphOnnxMl.TrainingInfoProto.Builder.getInitialization()This field describes a graph to compute the initial tensors upon starting the training process.OnnxMl.TrainingInfoProto.getInitialization()This field describes a graph to compute the initial tensors upon starting the training process.OnnxMl.TrainingInfoProtoOrBuilder.getInitialization()This field describes a graph to compute the initial tensors upon starting the training process.static OnnxMl.GraphProtoOnnxMl.GraphProto.parseDelimitedFrom(InputStream input) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(byte[] data) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(com.google.protobuf.ByteString data) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(com.google.protobuf.CodedInputStream input) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(InputStream input) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(ByteBuffer data) static OnnxMl.GraphProtoOnnxMl.GraphProto.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in ai.onnx.proto that return types with arguments of type OnnxMl.GraphProtoModifier and TypeMethodDescriptionOnnxMl.AttributeProto.Builder.getGraphsList()list of graphOnnxMl.AttributeProto.getGraphsList()list of graphOnnxMl.AttributeProtoOrBuilder.getGraphsList()list of graphcom.google.protobuf.Parser<OnnxMl.GraphProto>OnnxMl.GraphProto.getParserForType()static com.google.protobuf.Parser<OnnxMl.GraphProto>OnnxMl.GraphProto.parser()Methods in ai.onnx.proto with parameters of type OnnxMl.GraphProtoModifier and TypeMethodDescriptionOnnxMl.AttributeProto.Builder.addGraphs(int index, OnnxMl.GraphProto value) list of graphOnnxMl.AttributeProto.Builder.addGraphs(OnnxMl.GraphProto value) list of graphOnnxMl.TrainingInfoProto.Builder.mergeAlgorithm(OnnxMl.GraphProto value) This field represents a training algorithm step.OnnxMl.GraphProto.Builder.mergeFrom(OnnxMl.GraphProto other) OnnxMl.AttributeProto.Builder.mergeG(OnnxMl.GraphProto value) graphOnnxMl.ModelProto.Builder.mergeGraph(OnnxMl.GraphProto value) The parameterized graph that is evaluated to execute the model.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.BuilderOnnxMl.GraphProto.newBuilder(OnnxMl.GraphProto prototype) OnnxMl.TrainingInfoProto.Builder.setAlgorithm(OnnxMl.GraphProto value) This field represents a training algorithm step.OnnxMl.AttributeProto.Builder.setG(OnnxMl.GraphProto value) graphOnnxMl.ModelProto.Builder.setGraph(OnnxMl.GraphProto value) The parameterized graph that is evaluated to execute the model.OnnxMl.AttributeProto.Builder.setGraphs(int index, OnnxMl.GraphProto value) list of graphOnnxMl.TrainingInfoProto.Builder.setInitialization(OnnxMl.GraphProto value) This field describes a graph to compute the initial tensors upon starting the training process.Method parameters in ai.onnx.proto with type arguments of type OnnxMl.GraphProtoModifier and TypeMethodDescriptionOnnxMl.AttributeProto.Builder.addAllGraphs(Iterable<? extends OnnxMl.GraphProto> values) list of graph -
Uses of OnnxMl.GraphProto in org.tribuo.util.onnx
Methods in org.tribuo.util.onnx that return OnnxMl.GraphProtoModifier and TypeMethodDescriptionONNXContext.buildGraph()Builds the ONNX graph represented by this context.