Uses of Class
ai.onnx.proto.OnnxMl.TensorProto

Packages that use OnnxMl.TensorProto

Package	Description
ai.onnx.proto
org.tribuo.util.onnx	Interfaces and utilities for writing ONNX models from Java.

Uses of OnnxMl.TensorProto in ai.onnx.proto

Fields in ai.onnx.proto with type parameters of type OnnxMl.TensorProto

Modifier and Type	Field	Description
static final com.google.protobuf.Parser<OnnxMl.TensorProto>	OnnxMl.TensorProto.PARSER	Deprecated.

Methods in ai.onnx.proto that return OnnxMl.TensorProto

Modifier and Type	Method	Description
OnnxMl.TensorProto	OnnxMl.TensorProto.Builder.build()
OnnxMl.TensorProto	OnnxMl.TensorProto.Builder.buildPartial()
static OnnxMl.TensorProto	OnnxMl.TensorProto.getDefaultInstance()
OnnxMl.TensorProto	OnnxMl.TensorProto.Builder.getDefaultInstanceForType()
OnnxMl.TensorProto	OnnxMl.TensorProto.getDefaultInstanceForType()
OnnxMl.TensorProto	OnnxMl.SparseTensorProto.Builder.getIndices()	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.TensorProto	OnnxMl.SparseTensorProto.getIndices()	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.TensorProto	OnnxMl.SparseTensorProtoOrBuilder.getIndices()	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.TensorProto	OnnxMl.GraphProto.Builder.getInitializer(int index)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.TensorProto	OnnxMl.GraphProto.getInitializer(int index)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.TensorProto	OnnxMl.GraphProtoOrBuilder.getInitializer(int index)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.TensorProto	OnnxMl.AttributeProto.Builder.getT()	tensor value
OnnxMl.TensorProto	OnnxMl.AttributeProto.getT()	tensor value
OnnxMl.TensorProto	OnnxMl.AttributeProtoOrBuilder.getT()	tensor value
OnnxMl.TensorProto	OnnxMl.AttributeProto.Builder.getTensors(int index)	list of tensors
OnnxMl.TensorProto	OnnxMl.AttributeProto.getTensors(int index)	list of tensors
OnnxMl.TensorProto	OnnxMl.AttributeProtoOrBuilder.getTensors(int index)	list of tensors
OnnxMl.TensorProto	OnnxMl.SparseTensorProto.Builder.getValues()	The sequence of non-default values are encoded as a tensor of shape [NNZ].
OnnxMl.TensorProto	OnnxMl.SparseTensorProto.getValues()	The sequence of non-default values are encoded as a tensor of shape [NNZ].
OnnxMl.TensorProto	OnnxMl.SparseTensorProtoOrBuilder.getValues()	The sequence of non-default values are encoded as a tensor of shape [NNZ].
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseDelimitedFrom(InputStream input)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(byte[] data)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(com.google.protobuf.ByteString data)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(com.google.protobuf.CodedInputStream input)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(InputStream input)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(ByteBuffer data)
static OnnxMl.TensorProto	OnnxMl.TensorProto.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Methods in ai.onnx.proto that return types with arguments of type OnnxMl.TensorProto

Modifier and Type	Method	Description
List<OnnxMl.TensorProto>	OnnxMl.GraphProto.Builder.getInitializerList()	A list of named tensor values, used to specify constant inputs of the graph.
List<OnnxMl.TensorProto>	OnnxMl.GraphProto.getInitializerList()	A list of named tensor values, used to specify constant inputs of the graph.
List<OnnxMl.TensorProto>	OnnxMl.GraphProtoOrBuilder.getInitializerList()	A list of named tensor values, used to specify constant inputs of the graph.
com.google.protobuf.Parser<OnnxMl.TensorProto>	OnnxMl.TensorProto.getParserForType()
List<OnnxMl.TensorProto>	OnnxMl.AttributeProto.Builder.getTensorsList()	list of tensors
List<OnnxMl.TensorProto>	OnnxMl.AttributeProto.getTensorsList()	list of tensors
List<OnnxMl.TensorProto>	OnnxMl.AttributeProtoOrBuilder.getTensorsList()	list of tensors
static com.google.protobuf.Parser<OnnxMl.TensorProto>	OnnxMl.TensorProto.parser()

Methods in ai.onnx.proto with parameters of type OnnxMl.TensorProto

Modifier and Type	Method	Description
OnnxMl.GraphProto.Builder	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	OnnxMl.GraphProto.Builder.addInitializer(OnnxMl.TensorProto value)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addTensors(int index, OnnxMl.TensorProto value)	list of tensors
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addTensors(OnnxMl.TensorProto value)	list of tensors
OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.Builder.mergeFrom(OnnxMl.TensorProto other)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.mergeIndices(OnnxMl.TensorProto value)	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.mergeT(OnnxMl.TensorProto value)	tensor value
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.mergeValues(OnnxMl.TensorProto value)	The sequence of non-default values are encoded as a tensor of shape [NNZ].
static OnnxMl.TensorProto.Builder	OnnxMl.TensorProto.newBuilder(OnnxMl.TensorProto prototype)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto value)	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setInitializer(int index, OnnxMl.TensorProto value)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setT(OnnxMl.TensorProto value)	tensor value
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setTensors(int index, OnnxMl.TensorProto value)	list of tensors
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto value)	The sequence of non-default values are encoded as a tensor of shape [NNZ].

Method parameters in ai.onnx.proto with type arguments of type OnnxMl.TensorProto

Modifier and Type	Method	Description
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addAllInitializer(Iterable<? extends OnnxMl.TensorProto> values)	A list of named tensor values, used to specify constant inputs of the graph.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addAllTensors(Iterable<? extends OnnxMl.TensorProto> values)	list of tensors

Uses of OnnxMl.TensorProto in org.tribuo.util.onnx

Subclasses with type arguments of type OnnxMl.TensorProto in org.tribuo.util.onnx

Modifier and Type	Class	Description
final class	ONNXInitializer	A subclass of ONNXRef specialized for OnnxMl.TensorProto.

Methods in org.tribuo.util.onnx that return OnnxMl.TensorProto

Modifier and Type	Method	Description
static OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, double[] parameters)	Builds a TensorProto containing the array.
static OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, double[] parameters, boolean downcast)	Builds a TensorProto containing the array.
static OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, float[] parameters)	Builds a TensorProto containing the array.
static OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, int[] parameters)	Builds a TensorProto containing the array.
static OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, long[] parameters)	Builds a TensorProto containing the array.
static OnnxMl.TensorProto	ONNXUtils.doubleTensorBuilder(ONNXContext context, String name, List<Integer> dims, Consumer<DoubleBuffer> dataPopulator)	Generic method to create double OnnxMl.TensorProto instances.
static OnnxMl.TensorProto	ONNXUtils.floatTensorBuilder(ONNXContext context, String name, List<Integer> dims, Consumer<FloatBuffer> dataPopulator)	Generic method to create float OnnxMl.TensorProto instances.
static OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, double value)	Builds a TensorProto containing the scalar value.
static OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, float value)	Builds a TensorProto containing the scalar value.
static OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, int value)	Builds a TensorProto containing the scalar value.
static OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, long value)	Builds a TensorProto containing the scalar value.