ai.onnx.proto

Interface OnnxMl.GraphProtoOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

OnnxMl.GraphProto, OnnxMl.GraphProto.Builder

Enclosing class:

OnnxMl

public static interface OnnxMl.GraphProtoOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
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.
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.
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.
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;
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.
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.
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.
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.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getNodeList

java.util.List<OnnxMl.NodeProto> getNodeList()

 The nodes in the graph, sorted topologically.
 

repeated .onnx.NodeProto node = 1;

getNode

OnnxMl.NodeProto getNode(int index)

 The nodes in the graph, sorted topologically.
 

repeated .onnx.NodeProto node = 1;

getNodeCount

int getNodeCount()

 The nodes in the graph, sorted topologically.
 

repeated .onnx.NodeProto node = 1;

getNodeOrBuilderList

java.util.List<? extends OnnxMl.NodeProtoOrBuilder> getNodeOrBuilderList()

 The nodes in the graph, sorted topologically.
 

repeated .onnx.NodeProto node = 1;

getNodeOrBuilder

OnnxMl.NodeProtoOrBuilder getNodeOrBuilder(int index)

 The nodes in the graph, sorted topologically.
 

repeated .onnx.NodeProto node = 1;

hasName

boolean hasName()

 The name of the graph.
 

optional string name = 2;

Returns:

Whether the name field is set.

getName

java.lang.String getName()

 The name of the graph.
 

optional string name = 2;

Returns:

The name.

getNameBytes

com.google.protobuf.ByteString getNameBytes()

 The name of the graph.
 

optional string name = 2;

Returns:

The bytes for name.

getInitializerList

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;

getInitializer

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;

getInitializerCount

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;

getInitializerOrBuilderList

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;

getInitializerOrBuilder

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;

getSparseInitializerList

java.util.List<OnnxMl.SparseTensorProto> getSparseInitializerList()

 Initializers (see above) stored in sparse format.
 

repeated .onnx.SparseTensorProto sparse_initializer = 15;

getSparseInitializer

OnnxMl.SparseTensorProto getSparseInitializer(int index)

 Initializers (see above) stored in sparse format.
 

repeated .onnx.SparseTensorProto sparse_initializer = 15;

getSparseInitializerCount

int getSparseInitializerCount()

 Initializers (see above) stored in sparse format.
 

repeated .onnx.SparseTensorProto sparse_initializer = 15;

getSparseInitializerOrBuilderList

java.util.List<? extends OnnxMl.SparseTensorProtoOrBuilder> getSparseInitializerOrBuilderList()

 Initializers (see above) stored in sparse format.
 

repeated .onnx.SparseTensorProto sparse_initializer = 15;

getSparseInitializerOrBuilder

OnnxMl.SparseTensorProtoOrBuilder getSparseInitializerOrBuilder(int index)

 Initializers (see above) stored in sparse format.
 

repeated .onnx.SparseTensorProto sparse_initializer = 15;

hasDocString

boolean hasDocString()

 A human-readable documentation for this graph. Markdown is allowed.
 

optional string doc_string = 10;

Returns:

Whether the docString field is set.

getDocString

java.lang.String getDocString()

 A human-readable documentation for this graph. Markdown is allowed.
 

optional string doc_string = 10;

Returns:

The docString.

getDocStringBytes

com.google.protobuf.ByteString getDocStringBytes()

 A human-readable documentation for this graph. Markdown is allowed.
 

optional string doc_string = 10;

Returns:

The bytes for docString.

getInputList

java.util.List<OnnxMl.ValueInfoProto> getInputList()

 The inputs and outputs of the graph.
 

repeated .onnx.ValueInfoProto input = 11;

getInput

OnnxMl.ValueInfoProto getInput(int index)

 The inputs and outputs of the graph.
 

repeated .onnx.ValueInfoProto input = 11;

getInputCount

int getInputCount()

 The inputs and outputs of the graph.
 

repeated .onnx.ValueInfoProto input = 11;

getInputOrBuilderList

java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> getInputOrBuilderList()

 The inputs and outputs of the graph.
 

repeated .onnx.ValueInfoProto input = 11;

getInputOrBuilder

OnnxMl.ValueInfoProtoOrBuilder getInputOrBuilder(int index)

 The inputs and outputs of the graph.
 

repeated .onnx.ValueInfoProto input = 11;

getOutputList

java.util.List<OnnxMl.ValueInfoProto> getOutputList()

repeated .onnx.ValueInfoProto output = 12;

getOutput

OnnxMl.ValueInfoProto getOutput(int index)

repeated .onnx.ValueInfoProto output = 12;

getOutputCount

int getOutputCount()

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList

java.util.List<? extends OnnxMl.ValueInfoProtoOrBuilder> getOutputOrBuilderList()

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder

OnnxMl.ValueInfoProtoOrBuilder getOutputOrBuilder(int index)

repeated .onnx.ValueInfoProto output = 12;

getValueInfoList

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;

getValueInfo

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;

getValueInfoCount

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;

getValueInfoOrBuilderList

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;

getValueInfoOrBuilder

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;

getQuantizationAnnotationList

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;

getQuantizationAnnotation

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;

getQuantizationAnnotationCount

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;

getQuantizationAnnotationOrBuilderList

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;

getQuantizationAnnotationOrBuilder

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;