Uses of Class
com.yahoo.tensor.TensorType

Packages that use TensorType

Package	Description
com.yahoo.tensor	Tensor data types
com.yahoo.tensor.evaluation	Tensor data types
com.yahoo.tensor.functions	Tensor function evaluation
com.yahoo.tensor.serialization

Uses of TensorType in com.yahoo.tensor

Fields in com.yahoo.tensor declared as TensorType

Modifier and Type	Field	Description
static final TensorType	TensorType.empty	The empty tensor type - which is the same as a double

Methods in com.yahoo.tensor that return TensorType

Modifier and Type	Method	Description
TensorType	TensorType.Builder.build()
static TensorType	TypeResolver.cell_cast(TensorType inputType, TensorType.Value toCellType)
static TensorType	TypeResolver.concat(TensorType lhs, TensorType rhs, String concatDimension)
static TensorType	MixedTensor.createPartialType(TensorType.Value valueType, List<TensorType.Dimension> dimensions)
static TensorType	TensorType.fromSpec(String specString)	Returns a tensor type instance from a tensor type spec: tensor(dimension1, dimension2, ...) where each dimension is either dimension-name[] - an unbound indexed dimension dimension-name[int] - an bound indexed dimension dimension-name{} - a mapped dimension Example: tensor(x[10],y[20]) (a matrix)
static TensorType	TensorTypeParser.fromSpec(String specString)
TensorType	TensorType.indexedSubtype()	The type representing the indexed subset of dimensions of this.
static TensorType	TypeResolver.join(TensorType lhs, TensorType rhs)
static TensorType	TypeResolver.map(TensorType inputType)
TensorType	TensorType.mappedSubtype()	The type representing the mapped subset of dimensions of this.
static TensorType	TypeResolver.merge(TensorType lhs, TensorType rhs)
static TensorType	TypeResolver.peek(TensorType inputType, List<String> peekDimensions)
static TensorType	TypeResolver.reduce(TensorType inputType, List<String> reduceDimensions)
static TensorType	TypeResolver.rename(TensorType inputType, List<String> from, List<String> to)
TensorType	IndexedTensor.Builder.type()
TensorType	IndexedTensor.DirectIndexBuilder.type()
TensorType	IndexedTensor.type()
TensorType	MappedTensor.Builder.type()
TensorType	MappedTensor.type()
TensorType	MixedTensor.Builder.type()
TensorType	MixedTensor.type()	Returns the tensor type
TensorType	Tensor.Builder.CellBuilder.type()	Returns the type of the tensor this cell is build for.
TensorType	Tensor.Builder.type()	Returns the type of the tensor this is building
TensorType	Tensor.type()
TensorType	TensorAddress.Builder.type()	Returns the type of the tensor this address is being built for.

Methods in com.yahoo.tensor that return types with arguments of type TensorType

Modifier and Type	Method	Description
Optional<TensorType>	TensorType.dimensionwiseGeneralizationWith(TensorType other)	Returns the dimensionwise generalization of this and the given type, or empty if no generalization exists.

Methods in com.yahoo.tensor with parameters of type TensorType

Modifier and Type	Method	Description
TensorAddress	PartialAddress.asAddress(TensorType type)	Returns this as an address in the given tensor type
static TensorType	TypeResolver.cell_cast(TensorType inputType, TensorType.Value toCellType)
static TensorType.Value	TensorType.combinedValueType(TensorType... types)
static TensorType	TypeResolver.concat(TensorType lhs, TensorType rhs, String concatDimension)
static Tensor	Tensor.diag(TensorType type)
Optional<TensorType>	TensorType.dimensionwiseGeneralizationWith(TensorType other)	Returns the dimensionwise generalization of this and the given type, or empty if no generalization exists.
static Tensor	Tensor.from(TensorType type, String tensorString)	Returns a tensor instance containing the given data on the tensor literal form.
static Tensor	Tensor.generate(TensorType type, Function<List<Long>,Double> valueSupplier)
boolean	TensorType.isAssignableTo(TensorType generalization)	Returns whether this type can be assigned to the given type, i.e. if the given type is a generalization of this type.
boolean	TensorType.isConvertibleTo(TensorType generalization)	Returns whether this type can be converted to the given type.
boolean	TensorType.isRenamableTo(TensorType other)	Returns whether this type can simply be renamed to the given type.
static TensorType	TypeResolver.join(TensorType lhs, TensorType rhs)
static TensorType	TypeResolver.map(TensorType inputType)
TensorAddress	TensorAddress.mappedPartialAddress(TensorType mappedType, List<TensorType.Dimension> dimensions)	Returns an address containing the mapped dimensions of this.
boolean	TensorType.mathematicallyEquals(TensorType other)	Returns whether the given type has the same dimension names as this
static TensorType	TypeResolver.merge(TensorType lhs, TensorType rhs)
static DimensionSizes	DimensionSizes.of(TensorType type)	Create sizes from a type containing bound indexed dimensions only.
static IndexedTensor.Builder	IndexedTensor.Builder.of(TensorType type)
static IndexedTensor.Builder	IndexedTensor.Builder.of(TensorType type, double[] values)	Creates a builder initialized with the given values
static IndexedTensor.Builder	IndexedTensor.Builder.of(TensorType type, float[] values)	Creates a builder initialized with the given values
static IndexedTensor.Builder	IndexedTensor.Builder.of(TensorType type, DimensionSizes sizes)	Create a builder with dimension size information for this instance.
static IndexedTensor.Builder	IndexedTensor.Builder.of(TensorType type, DimensionSizes sizes, double[] values)	Creates a builder initialized with the given values
static IndexedTensor.Builder	IndexedTensor.Builder.of(TensorType type, DimensionSizes sizes, float[] values)	Creates a builder initialized with the given values
static IndexedTensor.Indexes	IndexedTensor.Indexes.of(TensorType type)	Create indexes from a type containing bound indexed dimensions only.
static IndexedTensor.Indexes	IndexedTensor.Indexes.of(TensorType type, List<String> iterateDimensionOrder)
static MappedTensor.Builder	MappedTensor.Builder.of(TensorType type)
static MixedTensor.BoundBuilder	MixedTensor.BoundBuilder.of(TensorType type)
static MixedTensor.Builder	MixedTensor.Builder.of(TensorType type)	Create a builder depending upon the type of indexed dimensions.
static Tensor.Builder	Tensor.Builder.of(TensorType type)	Creates a suitable builder for the given type
static Tensor.Builder	Tensor.Builder.of(TensorType type, DimensionSizes dimensionSizes)	Creates a suitable builder for the given type
static TensorType	TypeResolver.peek(TensorType inputType, List<String> peekDimensions)
static Tensor	Tensor.random(TensorType type)
static Tensor	Tensor.range(TensorType type)
static TensorType	TypeResolver.reduce(TensorType inputType, List<String> reduceDimensions)
static TensorType	TypeResolver.rename(TensorType inputType, List<String> from, List<String> to)
String	Tensor.Cell.toString(TensorType type)
final String	TensorAddress.toString(TensorType type)	Returns this as a string on the appropriate form given the type
abstract IndexedTensor	IndexedTensor.withType(TensorType type)
Tensor	MappedTensor.withType(TensorType other)
Tensor	MixedTensor.withType(TensorType other)
Tensor	Tensor.withType(TensorType type)	Returns this tensor with the given type if types are compatible

Constructors in com.yahoo.tensor with parameters of type TensorType

Modifier	Constructor	Description
	Builder(TensorType type)
	Builder(boolean allowDifferentSizes, TensorType... types)
	Builder(TensorType... types)	Creates a builder containing a combination of the dimensions of the given types If the same dimension is indexed with different size restrictions the smallest size will be used.
	PartialBuilder(TensorType type)

Uses of TensorType in com.yahoo.tensor.evaluation

Methods in com.yahoo.tensor.evaluation that return TensorType

Modifier and Type	Method	Description
TensorType	MapEvaluationContext.getType(String name)
TensorType	MapEvaluationContext.getType(NAMETYPE name)
TensorType	TypeContext.getType(String name)	Returns the type of the tensor with this name by converting from a string name.
TensorType	TypeContext.getType(NAMETYPE name)	Returns the type of the tensor with this name.
TensorType	VariableTensor.type(TypeContext<NAMETYPE> context)

Constructors in com.yahoo.tensor.evaluation with parameters of type TensorType

Modifier	Constructor	Description
	VariableTensor(String name, TensorType requiredType)	A variable tensor which must be compatible with the given type

Uses of TensorType in com.yahoo.tensor.functions

Methods in com.yahoo.tensor.functions that return TensorType

Modifier and Type	Method	Description
static TensorType	Join.outputType(TensorType a, TensorType b)	Returns the type resulting from applying Join to the two given types
static TensorType	Map.outputType(TensorType inputType)
static TensorType	Matmul.outputType(TensorType a, TensorType b, String dimension)
static TensorType	Merge.outputType(TensorType a, TensorType b)	Returns the type resulting from applying Merge to the two given types
static TensorType	Reduce.outputType(TensorType inputType, List<String> reduceDimensions)
static TensorType	Softmax.outputType(TensorType inputType, String dimension)
TensorType	CellCast.type(TypeContext<NAMETYPE> context)
TensorType	CompositeTensorFunction.type(TypeContext<NAMETYPE> context)	Finds the type this produces by first converting it to a primitive function
TensorType	Concat.type(TypeContext<NAMETYPE> context)
TensorType	ConstantTensor.type(TypeContext<NAMETYPE> context)
TensorType	CosineSimilarity.type(TypeContext<NAMETYPE> context)
TensorType	DynamicTensor.type(TypeContext<NAMETYPE> context)
TensorType	EuclideanDistance.type(TypeContext<NAMETYPE> context)
final TensorType	Expand.type(TypeContext<NAMETYPE> context)
TensorType	Generate.type(TypeContext<NAMETYPE> context)
TensorType	Join.type(TypeContext<NAMETYPE> context)
TensorType	Map.type(TypeContext<NAMETYPE> context)
TensorType	MapSubspaces.type(TypeContext<NAMETYPE> context)
TensorType	Merge.type(TypeContext<NAMETYPE> context)
TensorType	Reduce.type(TypeContext<NAMETYPE> context)
TensorType	Rename.type(TypeContext<NAMETYPE> context)
TensorType	Slice.type(TypeContext<NAMETYPE> context)
abstract TensorType	TensorFunction.type(TypeContext<NAMETYPE> context)	Returns the type of the tensor this produces given the input types in the context

Methods in com.yahoo.tensor.functions with parameters of type TensorType

Modifier and Type	Method	Description
static <NAMETYPE extends Name> Generate<NAMETYPE>	Generate.bound(TensorType type, ScalarFunction<NAMETYPE> generator)	Creates a generated tensor from a bound function
static <NAMETYPE extends Name> Generate<NAMETYPE>	Generate.free(TensorType type, Function<List<Long>,Double> generator)	Creates a generated tensor from a free function
static <NAMETYPE extends Name> DynamicTensor<NAMETYPE>	DynamicTensor.from(TensorType type, List<ScalarFunction<NAMETYPE>> cells)	Creates a dynamic tensor function for a bound, indexed tensor
static <NAMETYPE extends Name> DynamicTensor<NAMETYPE>	DynamicTensor.from(TensorType type, Map<TensorAddress,ScalarFunction<NAMETYPE>> cells)	Creates a dynamic tensor function.
static TensorType	Join.outputType(TensorType a, TensorType b)	Returns the type resulting from applying Join to the two given types
static TensorType	Map.outputType(TensorType inputType)
static TensorType	Matmul.outputType(TensorType a, TensorType b, String dimension)
static TensorType	Merge.outputType(TensorType a, TensorType b)	Returns the type resulting from applying Merge to the two given types
static TensorType	Reduce.outputType(TensorType inputType, List<String> reduceDimensions)
static TensorType	Softmax.outputType(TensorType inputType, String dimension)

Constructors in com.yahoo.tensor.functions with parameters of type TensorType

Modifier	Constructor	Description
	Diag(TensorType type)
	Generate(TensorType type, Function<List<Long>,Double> generator)	The same as Generate.free
	Random(TensorType type)
	Range(TensorType type)

Uses of TensorType in com.yahoo.tensor.serialization

Methods in com.yahoo.tensor.serialization with parameters of type TensorType

Modifier and Type	Method	Description
static Tensor	JsonFormat.decode(TensorType type, byte[] jsonTensorValue)	Deserializes the given tensor from JSON format

Method parameters in com.yahoo.tensor.serialization with type arguments of type TensorType

Modifier and Type	Method	Description
Tensor	DenseBinaryFormat.decode(Optional<TensorType> optionalType, GrowableByteBuffer buffer)
static Tensor	TypedBinaryFormat.decode(Optional<TensorType> type, GrowableByteBuffer buffer)	Decode some data to a tensor