public static final class OnnxMl.GraphProto.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder> implements OnnxMl.GraphProtoOrBuilder
Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs. This is the equivalent of the "network" or "graph" in many deep learning frameworks.Protobuf type
onnx.GraphProto| Modifier and Type | Method and Description |
|---|---|
OnnxMl.GraphProto.Builder |
addAllInitializer(java.lang.Iterable<? extends OnnxMl.TensorProto> values)
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.GraphProto.Builder |
addAllInput(java.lang.Iterable<? extends OnnxMl.ValueInfoProto> values)
The inputs and outputs of the graph.
|
OnnxMl.GraphProto.Builder |
addAllNode(java.lang.Iterable<? extends OnnxMl.NodeProto> values)
The nodes in the graph, sorted topologically.
|
OnnxMl.GraphProto.Builder |
addAllOutput(java.lang.Iterable<? extends OnnxMl.ValueInfoProto> values)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.GraphProto.Builder |
addAllQuantizationAnnotation(java.lang.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(java.lang.Iterable<? extends OnnxMl.SparseTensorProto> values)
Initializers (see above) stored in sparse format.
|
OnnxMl.GraphProto.Builder |
addAllValueInfo(java.lang.Iterable<? extends OnnxMl.ValueInfoProto> values)
Information for the values in 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(int index,
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 |
addInitializer(OnnxMl.TensorProto value)
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.TensorProto.Builder |
addInitializerBuilder()
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.TensorProto.Builder |
addInitializerBuilder(int index)
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.GraphProto.Builder |
addInput(int index,
OnnxMl.ValueInfoProto.Builder builderForValue)
The inputs and outputs of the graph.
|
OnnxMl.GraphProto.Builder |
addInput(int index,
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 |
addInput(OnnxMl.ValueInfoProto value)
The inputs and outputs of the graph.
|
OnnxMl.ValueInfoProto.Builder |
addInputBuilder()
The inputs and outputs of the graph.
|
OnnxMl.ValueInfoProto.Builder |
addInputBuilder(int index)
The inputs and outputs of the graph.
|
OnnxMl.GraphProto.Builder |
addNode(int index,
OnnxMl.NodeProto.Builder builderForValue)
The nodes in the graph, sorted topologically.
|
OnnxMl.GraphProto.Builder |
addNode(int index,
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 |
addNode(OnnxMl.NodeProto value)
The nodes in the graph, sorted topologically.
|
OnnxMl.NodeProto.Builder |
addNodeBuilder()
The nodes in the graph, sorted topologically.
|
OnnxMl.NodeProto.Builder |
addNodeBuilder(int index)
The nodes in the graph, sorted topologically.
|
OnnxMl.GraphProto.Builder |
addOutput(int index,
OnnxMl.ValueInfoProto.Builder builderForValue)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.GraphProto.Builder |
addOutput(int index,
OnnxMl.ValueInfoProto value)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.GraphProto.Builder |
addOutput(OnnxMl.ValueInfoProto.Builder builderForValue)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.GraphProto.Builder |
addOutput(OnnxMl.ValueInfoProto value)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.ValueInfoProto.Builder |
addOutputBuilder()
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.ValueInfoProto.Builder |
addOutputBuilder(int index)
repeated .onnx.ValueInfoProto output = 12; |
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(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(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.TensorAnnotation.Builder |
addQuantizationAnnotationBuilder()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
OnnxMl.TensorAnnotation.Builder |
addQuantizationAnnotationBuilder(int index)
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,
java.lang.Object value) |
OnnxMl.GraphProto.Builder |
addSparseInitializer(int index,
OnnxMl.SparseTensorProto.Builder builderForValue)
Initializers (see above) stored in sparse format.
|
OnnxMl.GraphProto.Builder |
addSparseInitializer(int index,
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 |
addSparseInitializer(OnnxMl.SparseTensorProto value)
Initializers (see above) stored in sparse format.
|
OnnxMl.SparseTensorProto.Builder |
addSparseInitializerBuilder()
Initializers (see above) stored in sparse format.
|
OnnxMl.SparseTensorProto.Builder |
addSparseInitializerBuilder(int index)
Initializers (see above) stored in sparse format.
|
OnnxMl.GraphProto.Builder |
addValueInfo(int index,
OnnxMl.ValueInfoProto.Builder builderForValue)
Information for the values in the graph.
|
OnnxMl.GraphProto.Builder |
addValueInfo(int index,
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 |
addValueInfo(OnnxMl.ValueInfoProto value)
Information for the values in the graph.
|
OnnxMl.ValueInfoProto.Builder |
addValueInfoBuilder()
Information for the values in the graph.
|
OnnxMl.ValueInfoProto.Builder |
addValueInfoBuilder(int index)
Information for the values in the graph.
|
OnnxMl.GraphProto |
build() |
OnnxMl.GraphProto |
buildPartial() |
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.GraphProto |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
java.lang.String |
getDocString()
A human-readable documentation for this graph.
|
com.google.protobuf.ByteString |
getDocStringBytes()
A human-readable documentation for this graph.
|
OnnxMl.TensorProto |
getInitializer(int index)
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.TensorProto.Builder |
getInitializerBuilder(int index)
A list of named tensor values, used to specify constant inputs of the graph.
|
java.util.List<OnnxMl.TensorProto.Builder> |
getInitializerBuilderList()
A list of named tensor values, used to specify constant inputs of the graph.
|
int |
getInitializerCount()
A list of named tensor values, used to specify constant inputs of the graph.
|
java.util.List<OnnxMl.TensorProto> |
getInitializerList()
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.TensorProtoOrBuilder |
getInitializerOrBuilder(int index)
A list of named tensor values, used to specify constant inputs of the graph.
|
java.util.List<? extends OnnxMl.TensorProtoOrBuilder> |
getInitializerOrBuilderList()
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.ValueInfoProto |
getInput(int index)
The inputs and outputs of the graph.
|
OnnxMl.ValueInfoProto.Builder |
getInputBuilder(int index)
The inputs and outputs of the graph.
|
java.util.List<OnnxMl.ValueInfoProto.Builder> |
getInputBuilderList()
The inputs and outputs of the graph.
|
int |
getInputCount()
The inputs and outputs of the graph.
|
java.util.List<OnnxMl.ValueInfoProto> |
getInputList()
The inputs and outputs of the graph.
|
OnnxMl.ValueInfoProtoOrBuilder |
getInputOrBuilder(int index)
The inputs and outputs of the graph.
|
java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> |
getInputOrBuilderList()
The inputs and outputs of the graph.
|
java.lang.String |
getName()
The name of the graph.
|
com.google.protobuf.ByteString |
getNameBytes()
The name of the graph.
|
OnnxMl.NodeProto |
getNode(int index)
The nodes in the graph, sorted topologically.
|
OnnxMl.NodeProto.Builder |
getNodeBuilder(int index)
The nodes in the graph, sorted topologically.
|
java.util.List<OnnxMl.NodeProto.Builder> |
getNodeBuilderList()
The nodes in the graph, sorted topologically.
|
int |
getNodeCount()
The nodes in the graph, sorted topologically.
|
java.util.List<OnnxMl.NodeProto> |
getNodeList()
The nodes in the graph, sorted topologically.
|
OnnxMl.NodeProtoOrBuilder |
getNodeOrBuilder(int index)
The nodes in the graph, sorted topologically.
|
java.util.List<? extends OnnxMl.NodeProtoOrBuilder> |
getNodeOrBuilderList()
The nodes in the graph, sorted topologically.
|
OnnxMl.ValueInfoProto |
getOutput(int index)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.ValueInfoProto.Builder |
getOutputBuilder(int index)
repeated .onnx.ValueInfoProto output = 12; |
java.util.List<OnnxMl.ValueInfoProto.Builder> |
getOutputBuilderList()
repeated .onnx.ValueInfoProto output = 12; |
int |
getOutputCount()
repeated .onnx.ValueInfoProto output = 12; |
java.util.List<OnnxMl.ValueInfoProto> |
getOutputList()
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.ValueInfoProtoOrBuilder |
getOutputOrBuilder(int index)
repeated .onnx.ValueInfoProto output = 12; |
java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> |
getOutputOrBuilderList()
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.TensorAnnotation |
getQuantizationAnnotation(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
OnnxMl.TensorAnnotation.Builder |
getQuantizationAnnotationBuilder(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
java.util.List<OnnxMl.TensorAnnotation.Builder> |
getQuantizationAnnotationBuilderList()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
int |
getQuantizationAnnotationCount()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
java.util.List<OnnxMl.TensorAnnotation> |
getQuantizationAnnotationList()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
OnnxMl.TensorAnnotationOrBuilder |
getQuantizationAnnotationOrBuilder(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
java.util.List<? extends OnnxMl.TensorAnnotationOrBuilder> |
getQuantizationAnnotationOrBuilderList()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors.
|
OnnxMl.SparseTensorProto |
getSparseInitializer(int index)
Initializers (see above) stored in sparse format.
|
OnnxMl.SparseTensorProto.Builder |
getSparseInitializerBuilder(int index)
Initializers (see above) stored in sparse format.
|
java.util.List<OnnxMl.SparseTensorProto.Builder> |
getSparseInitializerBuilderList()
Initializers (see above) stored in sparse format.
|
int |
getSparseInitializerCount()
Initializers (see above) stored in sparse format.
|
java.util.List<OnnxMl.SparseTensorProto> |
getSparseInitializerList()
Initializers (see above) stored in sparse format.
|
OnnxMl.SparseTensorProtoOrBuilder |
getSparseInitializerOrBuilder(int index)
Initializers (see above) stored in sparse format.
|
java.util.List<? extends OnnxMl.SparseTensorProtoOrBuilder> |
getSparseInitializerOrBuilderList()
Initializers (see above) stored in sparse format.
|
OnnxMl.ValueInfoProto |
getValueInfo(int index)
Information for the values in the graph.
|
OnnxMl.ValueInfoProto.Builder |
getValueInfoBuilder(int index)
Information for the values in the graph.
|
java.util.List<OnnxMl.ValueInfoProto.Builder> |
getValueInfoBuilderList()
Information for the values in the graph.
|
int |
getValueInfoCount()
Information for the values in the graph.
|
java.util.List<OnnxMl.ValueInfoProto> |
getValueInfoList()
Information for the values in the graph.
|
OnnxMl.ValueInfoProtoOrBuilder |
getValueInfoOrBuilder(int index)
Information for the values in the graph.
|
java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> |
getValueInfoOrBuilderList()
Information for the values in the graph.
|
boolean |
hasDocString()
A human-readable documentation for this graph.
|
boolean |
hasName()
The name of the graph.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
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 |
mergeFrom(OnnxMl.GraphProto other) |
OnnxMl.GraphProto.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
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(java.lang.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,
java.lang.Object value) |
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 |
setInitializer(int index,
OnnxMl.TensorProto value)
A list of named tensor values, used to specify constant inputs of the graph.
|
OnnxMl.GraphProto.Builder |
setInput(int index,
OnnxMl.ValueInfoProto.Builder builderForValue)
The inputs and outputs of the graph.
|
OnnxMl.GraphProto.Builder |
setInput(int index,
OnnxMl.ValueInfoProto value)
The inputs and outputs of the graph.
|
OnnxMl.GraphProto.Builder |
setName(java.lang.String value)
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.Builder builderForValue)
The nodes in the graph, sorted topologically.
|
OnnxMl.GraphProto.Builder |
setNode(int index,
OnnxMl.NodeProto value)
The nodes in the graph, sorted topologically.
|
OnnxMl.GraphProto.Builder |
setOutput(int index,
OnnxMl.ValueInfoProto.Builder builderForValue)
repeated .onnx.ValueInfoProto output = 12; |
OnnxMl.GraphProto.Builder |
setOutput(int index,
OnnxMl.ValueInfoProto value)
repeated .onnx.ValueInfoProto output = 12; |
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 |
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 |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
java.lang.Object value) |
OnnxMl.GraphProto.Builder |
setSparseInitializer(int index,
OnnxMl.SparseTensorProto.Builder builderForValue)
Initializers (see above) stored in sparse format.
|
OnnxMl.GraphProto.Builder |
setSparseInitializer(int index,
OnnxMl.SparseTensorProto value)
Initializers (see above) stored in sparse format.
|
OnnxMl.GraphProto.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
OnnxMl.GraphProto.Builder |
setValueInfo(int index,
OnnxMl.ValueInfoProto.Builder builderForValue)
Information for the values in the graph.
|
OnnxMl.GraphProto.Builder |
setValueInfo(int index,
OnnxMl.ValueInfoProto value)
Information for the values in the graph.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic OnnxMl.GraphProto build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic OnnxMl.GraphProto buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic OnnxMl.GraphProto.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder mergeFrom(OnnxMl.GraphProto other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public OnnxMl.GraphProto.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<OnnxMl.GraphProto.Builder>java.io.IOExceptionpublic java.util.List<OnnxMl.NodeProto> getNodeList()
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;getNodeList in interface OnnxMl.GraphProtoOrBuilderpublic int getNodeCount()
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;getNodeCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.NodeProto getNode(int index)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;getNode in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setNode(int index, OnnxMl.NodeProto value)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder setNode(int index, OnnxMl.NodeProto.Builder builderForValue)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder addNode(OnnxMl.NodeProto value)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder addNode(int index, OnnxMl.NodeProto value)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder addNode(OnnxMl.NodeProto.Builder builderForValue)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder addNode(int index, OnnxMl.NodeProto.Builder builderForValue)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder addAllNode(java.lang.Iterable<? extends OnnxMl.NodeProto> values)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder clearNode()
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.GraphProto.Builder removeNode(int index)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.NodeProto.Builder getNodeBuilder(int index)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.NodeProtoOrBuilder getNodeOrBuilder(int index)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;getNodeOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.NodeProtoOrBuilder> getNodeOrBuilderList()
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;getNodeOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.NodeProto.Builder addNodeBuilder()
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public OnnxMl.NodeProto.Builder addNodeBuilder(int index)
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public java.util.List<OnnxMl.NodeProto.Builder> getNodeBuilderList()
The nodes in the graph, sorted topologically.
repeated .onnx.NodeProto node = 1;public boolean hasName()
The name of the graph.
optional string name = 2;hasName in interface OnnxMl.GraphProtoOrBuilderpublic java.lang.String getName()
The name of the graph.
optional string name = 2;getName in interface OnnxMl.GraphProtoOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
The name of the graph.
optional string name = 2;getNameBytes in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setName(java.lang.String value)
The name of the graph.
optional string name = 2;value - The name to set.public OnnxMl.GraphProto.Builder clearName()
The name of the graph.
optional string name = 2;public OnnxMl.GraphProto.Builder setNameBytes(com.google.protobuf.ByteString value)
The name of the graph.
optional string name = 2;value - The bytes for name to set.public java.util.List<OnnxMl.TensorProto> getInitializerList()
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;getInitializerList in interface OnnxMl.GraphProtoOrBuilderpublic int getInitializerCount()
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;getInitializerCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.TensorProto getInitializer(int index)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;getInitializer in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setInitializer(int index, OnnxMl.TensorProto value)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder setInitializer(int index, OnnxMl.TensorProto.Builder builderForValue)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder addInitializer(OnnxMl.TensorProto value)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder addInitializer(int index, OnnxMl.TensorProto value)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder addInitializer(OnnxMl.TensorProto.Builder builderForValue)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder addInitializer(int index, OnnxMl.TensorProto.Builder builderForValue)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder addAllInitializer(java.lang.Iterable<? extends OnnxMl.TensorProto> values)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder clearInitializer()
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.GraphProto.Builder removeInitializer(int index)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.TensorProto.Builder getInitializerBuilder(int index)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.TensorProtoOrBuilder getInitializerOrBuilder(int index)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;getInitializerOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.TensorProtoOrBuilder> getInitializerOrBuilderList()
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;getInitializerOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.TensorProto.Builder addInitializerBuilder()
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public OnnxMl.TensorProto.Builder addInitializerBuilder(int index)
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public java.util.List<OnnxMl.TensorProto.Builder> getInitializerBuilderList()
A list of named tensor values, used to specify constant inputs of the graph. Each initializer (both TensorProto as well SparseTensorProto) MUST have a name. The name MUST be unique across both initializer and sparse_initializer, but the name MAY also appear in the input list.
repeated .onnx.TensorProto initializer = 5;public java.util.List<OnnxMl.SparseTensorProto> getSparseInitializerList()
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;getSparseInitializerList in interface OnnxMl.GraphProtoOrBuilderpublic int getSparseInitializerCount()
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;getSparseInitializerCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.SparseTensorProto getSparseInitializer(int index)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;getSparseInitializer in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setSparseInitializer(int index, OnnxMl.SparseTensorProto value)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder setSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder addSparseInitializer(OnnxMl.SparseTensorProto value)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder addSparseInitializer(int index, OnnxMl.SparseTensorProto value)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder addSparseInitializer(OnnxMl.SparseTensorProto.Builder builderForValue)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder addSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder addAllSparseInitializer(java.lang.Iterable<? extends OnnxMl.SparseTensorProto> values)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder clearSparseInitializer()
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.GraphProto.Builder removeSparseInitializer(int index)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.SparseTensorProto.Builder getSparseInitializerBuilder(int index)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.SparseTensorProtoOrBuilder getSparseInitializerOrBuilder(int index)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;getSparseInitializerOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.SparseTensorProtoOrBuilder> getSparseInitializerOrBuilderList()
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;getSparseInitializerOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.SparseTensorProto.Builder addSparseInitializerBuilder()
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public OnnxMl.SparseTensorProto.Builder addSparseInitializerBuilder(int index)
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public java.util.List<OnnxMl.SparseTensorProto.Builder> getSparseInitializerBuilderList()
Initializers (see above) stored in sparse format.
repeated .onnx.SparseTensorProto sparse_initializer = 15;public boolean hasDocString()
A human-readable documentation for this graph. Markdown is allowed.
optional string doc_string = 10;hasDocString in interface OnnxMl.GraphProtoOrBuilderpublic java.lang.String getDocString()
A human-readable documentation for this graph. Markdown is allowed.
optional string doc_string = 10;getDocString in interface OnnxMl.GraphProtoOrBuilderpublic com.google.protobuf.ByteString getDocStringBytes()
A human-readable documentation for this graph. Markdown is allowed.
optional string doc_string = 10;getDocStringBytes in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setDocString(java.lang.String value)
A human-readable documentation for this graph. Markdown is allowed.
optional string doc_string = 10;value - The docString to set.public OnnxMl.GraphProto.Builder clearDocString()
A human-readable documentation for this graph. Markdown is allowed.
optional string doc_string = 10;public OnnxMl.GraphProto.Builder setDocStringBytes(com.google.protobuf.ByteString value)
A human-readable documentation for this graph. Markdown is allowed.
optional string doc_string = 10;value - The bytes for docString to set.public java.util.List<OnnxMl.ValueInfoProto> getInputList()
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;getInputList in interface OnnxMl.GraphProtoOrBuilderpublic int getInputCount()
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;getInputCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.ValueInfoProto getInput(int index)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;getInput in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setInput(int index, OnnxMl.ValueInfoProto value)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder setInput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder addInput(OnnxMl.ValueInfoProto value)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder addInput(int index, OnnxMl.ValueInfoProto value)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder addInput(OnnxMl.ValueInfoProto.Builder builderForValue)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder addInput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder addAllInput(java.lang.Iterable<? extends OnnxMl.ValueInfoProto> values)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder clearInput()
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.GraphProto.Builder removeInput(int index)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.ValueInfoProto.Builder getInputBuilder(int index)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.ValueInfoProtoOrBuilder getInputOrBuilder(int index)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;getInputOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> getInputOrBuilderList()
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;getInputOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.ValueInfoProto.Builder addInputBuilder()
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public OnnxMl.ValueInfoProto.Builder addInputBuilder(int index)
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public java.util.List<OnnxMl.ValueInfoProto.Builder> getInputBuilderList()
The inputs and outputs of the graph.
repeated .onnx.ValueInfoProto input = 11;public java.util.List<OnnxMl.ValueInfoProto> getOutputList()
repeated .onnx.ValueInfoProto output = 12;getOutputList in interface OnnxMl.GraphProtoOrBuilderpublic int getOutputCount()
repeated .onnx.ValueInfoProto output = 12;getOutputCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.ValueInfoProto getOutput(int index)
repeated .onnx.ValueInfoProto output = 12;getOutput in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setOutput(int index, OnnxMl.ValueInfoProto value)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder setOutput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder addOutput(OnnxMl.ValueInfoProto value)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder addOutput(int index, OnnxMl.ValueInfoProto value)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder addOutput(OnnxMl.ValueInfoProto.Builder builderForValue)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder addOutput(int index, OnnxMl.ValueInfoProto.Builder builderForValue)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder addAllOutput(java.lang.Iterable<? extends OnnxMl.ValueInfoProto> values)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder clearOutput()
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.GraphProto.Builder removeOutput(int index)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.ValueInfoProto.Builder getOutputBuilder(int index)
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.ValueInfoProtoOrBuilder getOutputOrBuilder(int index)
repeated .onnx.ValueInfoProto output = 12;getOutputOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> getOutputOrBuilderList()
repeated .onnx.ValueInfoProto output = 12;getOutputOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.ValueInfoProto.Builder addOutputBuilder()
repeated .onnx.ValueInfoProto output = 12;public OnnxMl.ValueInfoProto.Builder addOutputBuilder(int index)
repeated .onnx.ValueInfoProto output = 12;public java.util.List<OnnxMl.ValueInfoProto.Builder> getOutputBuilderList()
repeated .onnx.ValueInfoProto output = 12;public java.util.List<OnnxMl.ValueInfoProto> getValueInfoList()
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;getValueInfoList in interface OnnxMl.GraphProtoOrBuilderpublic int getValueInfoCount()
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;getValueInfoCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.ValueInfoProto getValueInfo(int index)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;getValueInfo in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.GraphProto.Builder setValueInfo(int index, OnnxMl.ValueInfoProto value)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder setValueInfo(int index, OnnxMl.ValueInfoProto.Builder builderForValue)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder addValueInfo(OnnxMl.ValueInfoProto value)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder addValueInfo(int index, OnnxMl.ValueInfoProto value)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder addValueInfo(OnnxMl.ValueInfoProto.Builder builderForValue)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder addValueInfo(int index, OnnxMl.ValueInfoProto.Builder builderForValue)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder addAllValueInfo(java.lang.Iterable<? extends OnnxMl.ValueInfoProto> values)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder clearValueInfo()
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.GraphProto.Builder removeValueInfo(int index)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.ValueInfoProto.Builder getValueInfoBuilder(int index)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.ValueInfoProtoOrBuilder getValueInfoOrBuilder(int index)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;getValueInfoOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> getValueInfoOrBuilderList()
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;getValueInfoOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.ValueInfoProto.Builder addValueInfoBuilder()
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public OnnxMl.ValueInfoProto.Builder addValueInfoBuilder(int index)
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public java.util.List<OnnxMl.ValueInfoProto.Builder> getValueInfoBuilderList()
Information for the values in the graph. The ValueInfoProto.name's must be distinct. It is optional for a value to appear in value_info list.
repeated .onnx.ValueInfoProto value_info = 13;public java.util.List<OnnxMl.TensorAnnotation> getQuantizationAnnotationList()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;getQuantizationAnnotationList in interface OnnxMl.GraphProtoOrBuilderpublic int getQuantizationAnnotationCount()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;getQuantizationAnnotationCount in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.TensorAnnotation getQuantizationAnnotation(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;getQuantizationAnnotation in interface OnnxMl.GraphProtoOrBuilderpublic 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. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public 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. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.GraphProto.Builder addQuantizationAnnotation(OnnxMl.TensorAnnotation value)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public 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. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.GraphProto.Builder addQuantizationAnnotation(OnnxMl.TensorAnnotation.Builder builderForValue)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public 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. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.GraphProto.Builder addAllQuantizationAnnotation(java.lang.Iterable<? extends OnnxMl.TensorAnnotation> values)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.GraphProto.Builder clearQuantizationAnnotation()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.GraphProto.Builder removeQuantizationAnnotation(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.TensorAnnotation.Builder getQuantizationAnnotationBuilder(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.TensorAnnotationOrBuilder getQuantizationAnnotationOrBuilder(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;getQuantizationAnnotationOrBuilder in interface OnnxMl.GraphProtoOrBuilderpublic java.util.List<? extends OnnxMl.TensorAnnotationOrBuilder> getQuantizationAnnotationOrBuilderList()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;getQuantizationAnnotationOrBuilderList in interface OnnxMl.GraphProtoOrBuilderpublic OnnxMl.TensorAnnotation.Builder addQuantizationAnnotationBuilder()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public OnnxMl.TensorAnnotation.Builder addQuantizationAnnotationBuilder(int index)
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public java.util.List<OnnxMl.TensorAnnotation.Builder> getQuantizationAnnotationBuilderList()
This field carries information to indicate the mapping among a tensor and its
quantization parameter tensors. For example:
For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
repeated .onnx.TensorAnnotation quantization_annotation = 14;public final OnnxMl.GraphProto.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>public final OnnxMl.GraphProto.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.GraphProto.Builder>