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