Uses of Class
org.tensorflow.proto.TensorInfo.CooSparse.Builder

Packages that use TensorInfo.CooSparse.Builder

Package	Description
org.tensorflow.proto

Uses of TensorInfo.CooSparse.Builder in org.tensorflow.proto

Subclasses with type arguments of type TensorInfo.CooSparse.Builder in org.tensorflow.proto

Modifier and Type	Class	Description
static final class	TensorInfo.CooSparse.Builder	For sparse tensors, The COO encoding stores a triple of values, indices, and shape.

Methods in org.tensorflow.proto that return TensorInfo.CooSparse.Builder

Modifier and Type	Method	Description
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.addRepeatedField(Descriptors.FieldDescriptor field, Object value)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clear()
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clearDenseShapeTensorName()	The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clearField(Descriptors.FieldDescriptor field)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clearIndicesTensorName()	The indices Tensor must have dtype int64 and shape [?
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clearOneof(Descriptors.OneofDescriptor oneof)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clearValuesTensorName()	The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.clone()
TensorInfo.CooSparse.Builder	TensorInfo.Builder.getCooSparseBuilder()	There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.mergeFrom(Message other)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.mergeFrom(TensorInfo.CooSparse other)
final TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.mergeUnknownFields(UnknownFieldSet unknownFields)
static TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.newBuilder()
static TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.newBuilder(TensorInfo.CooSparse prototype)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.newBuilderForType()
protected TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.newBuilderForType(GeneratedMessageV3.BuilderParent parent)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setDenseShapeTensorName(String value)	The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setDenseShapeTensorNameBytes(ByteString value)	The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setField(Descriptors.FieldDescriptor field, Object value)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setIndicesTensorName(String value)	The indices Tensor must have dtype int64 and shape [?
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setIndicesTensorNameBytes(ByteString value)	The indices Tensor must have dtype int64 and shape [?
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
final TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setUnknownFields(UnknownFieldSet unknownFields)
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setValuesTensorName(String value)	The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.Builder.setValuesTensorNameBytes(ByteString value)	The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder	TensorInfo.CooSparse.toBuilder()

Methods in org.tensorflow.proto with parameters of type TensorInfo.CooSparse.Builder

Modifier and Type	Method	Description
TensorInfo.Builder	TensorInfo.Builder.setCooSparse(TensorInfo.CooSparse.Builder builderForValue)	There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).