Uses of Class
onnx.OnnxMl.SparseTensorProto.Builder

Packages that use OnnxMl.SparseTensorProto.Builder

Package	Description
onnx

Uses of OnnxMl.SparseTensorProto.Builder in onnx

Methods in onnx that return OnnxMl.SparseTensorProto.Builder

Modifier and Type	Method	Description
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.addAllDims(Iterable<? extends Long> values)	The shape of the underlying dense-tensor: [dim_1, dim_2, ...
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.addDims(long value)	The shape of the underlying dense-tensor: [dim_1, dim_2, ...
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.SparseTensorProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializerBuilder()	Initializers (see above) stored in sparse format.
OnnxMl.SparseTensorProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializerBuilder(int index)	Initializers (see above) stored in sparse format.
OnnxMl.SparseTensorProto.Builder	OnnxMl.AttributeProto.Builder.addSparseTensorsBuilder()	list of sparse tensors
OnnxMl.SparseTensorProto.Builder	OnnxMl.AttributeProto.Builder.addSparseTensorsBuilder(int index)	list of sparse tensors
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clear()
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clearDims()	The shape of the underlying dense-tensor: [dim_1, dim_2, ...
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clearIndices()	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clearValues()	The sequence of non-default values are encoded as a tensor of shape [NNZ].
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.clone()
OnnxMl.SparseTensorProto.Builder	OnnxMl.GraphProto.Builder.getSparseInitializerBuilder(int index)	Initializers (see above) stored in sparse format.
OnnxMl.SparseTensorProto.Builder	OnnxMl.AttributeProto.Builder.getSparseTensorBuilder()	sparse tensor value
OnnxMl.SparseTensorProto.Builder	OnnxMl.AttributeProto.Builder.getSparseTensorsBuilder(int index)	list of sparse tensors
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.mergeFrom(OnnxMl.SparseTensorProto other)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message 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.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
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.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.newBuilder()
static OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.newBuilder(OnnxMl.SparseTensorProto prototype)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.newBuilderForType()
protected OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setDims(int index, long value)	The shape of the underlying dense-tensor: [dim_1, dim_2, ...
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
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.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto.Builder builderForValue)	The indices of the non-default values, which may be stored in one of two formats.
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto value)	The sequence of non-default values are encoded as a tensor of shape [NNZ].
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto.Builder builderForValue)	The sequence of non-default values are encoded as a tensor of shape [NNZ].
OnnxMl.SparseTensorProto.Builder	OnnxMl.SparseTensorProto.toBuilder()

Methods in onnx that return types with arguments of type OnnxMl.SparseTensorProto.Builder

Modifier and Type	Method	Description
List<OnnxMl.SparseTensorProto.Builder>	OnnxMl.GraphProto.Builder.getSparseInitializerBuilderList()	Initializers (see above) stored in sparse format.
List<OnnxMl.SparseTensorProto.Builder>	OnnxMl.AttributeProto.Builder.getSparseTensorsBuilderList()	list of sparse tensors

Methods in onnx with parameters of type OnnxMl.SparseTensorProto.Builder

Modifier and Type	Method	Description
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue)	Initializers (see above) stored in sparse format.
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.addSparseInitializer(OnnxMl.SparseTensorProto.Builder builderForValue)	Initializers (see above) stored in sparse format.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addSparseTensors(int index, OnnxMl.SparseTensorProto.Builder builderForValue)	list of sparse tensors
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.addSparseTensors(OnnxMl.SparseTensorProto.Builder builderForValue)	list of sparse tensors
OnnxMl.GraphProto.Builder	OnnxMl.GraphProto.Builder.setSparseInitializer(int index, OnnxMl.SparseTensorProto.Builder builderForValue)	Initializers (see above) stored in sparse format.
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setSparseTensor(OnnxMl.SparseTensorProto.Builder builderForValue)	sparse tensor value
OnnxMl.AttributeProto.Builder	OnnxMl.AttributeProto.Builder.setSparseTensors(int index, OnnxMl.SparseTensorProto.Builder builderForValue)	list of sparse tensors