Uses of Class
com.yahoo.tensor.functions.TensorFunction

Packages that use TensorFunction

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

Uses of TensorFunction in com.yahoo.tensor.evaluation

Subclasses of TensorFunction in com.yahoo.tensor.evaluation

Modifier and Type	Class	Description
class	VariableTensor<NAMETYPE extends Name>	A tensor variable name which resolves to a tensor in the context at evaluation time

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

Modifier and Type	Method	Description
TensorFunction<NAMETYPE>	VariableTensor.withArguments(List<TensorFunction<NAMETYPE>> arguments)

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

Modifier and Type	Method	Description
List<TensorFunction<NAMETYPE>>	VariableTensor.arguments()

Method parameters in com.yahoo.tensor.evaluation with type arguments of type TensorFunction

Modifier and Type	Method	Description
TensorFunction<NAMETYPE>	VariableTensor.withArguments(List<TensorFunction<NAMETYPE>> arguments)

Uses of TensorFunction in com.yahoo.tensor.functions

Subclasses of TensorFunction in com.yahoo.tensor.functions

Modifier and Type	Class	Description
class	Argmax<NAMETYPE extends Name>
class	Argmin<NAMETYPE extends Name>
class	CellCast<NAMETYPE extends Name>	The cell_cast tensor function creates a new tensor with the specified cell value type.
class	CompositeTensorFunction<NAMETYPE extends Name>	A composite tensor function is a tensor function which can be expressed (less tersely) as a tree of primitive tensor functions.
class	Concat<NAMETYPE extends Name>	Concatenation of two tensors along an (indexed) dimension
class	ConstantTensor<NAMETYPE extends Name>	A function which returns a constant tensor.
class	CosineSimilarity<NAMETYPE extends Name>	Convenience for cosine similarity between vectors.
class	Diag<NAMETYPE extends Name>	A tensor generator which returns a tensor of any dimension filled with 1 in the diagonal and 0 elsewhere.
class	DynamicTensor<NAMETYPE extends Name>	A function which is a tensor whose values are computed by individual lambda functions on evaluation.
class	EuclideanDistance<NAMETYPE extends Name>	Convenience for euclidean distance between vectors.
class	Expand<NAMETYPE extends Name>	The expand tensor function returns a tensor with a new dimension of size 1 is added, equivalent to "tensor * tensor(dim_name[1])(1)".
class	Generate<NAMETYPE extends Name>	An indexed tensor whose values are generated by a function
class	Join<NAMETYPE extends Name>	The join tensor operation produces a tensor from the argument tensors containing the set of cells given by the cross product of the cells of the given tensors, having as values the value produced by applying the given combinator function on the values from the two source cells.
class	L1Normalize<NAMETYPE extends Name>
class	L2Normalize<NAMETYPE extends Name>
class	Map<NAMETYPE extends Name>	The map tensor function produces a tensor where the given function is applied on each cell value.
class	MapSubspaces<NAMETYPE extends Name>	The map_subspaces tensor function transforms each dense subspace in a (mixed) tensor
class	Matmul<NAMETYPE extends Name>
class	Merge<NAMETYPE extends Name>	The merge tensor operation produces from two argument tensors having equal types a tensor having the same type where the values are the union of the values of both tensors.
class	PrimitiveTensorFunction<NAMETYPE extends Name>	A primitive tensor function is a tensor function which cannot be expressed in terms of other tensor functions.
class	Random<NAMETYPE extends Name>	A tensor generator which returns a tensor of any dimension filled with random numbers between 0 and 1.
class	Range<NAMETYPE extends Name>	A tensor generator which returns a tensor of any dimension filled with the sum of the tensor indexes of each position.
class	Reduce<NAMETYPE extends Name>	The reduce tensor operation returns a tensor produced from the argument tensor where some dimensions are collapsed to a single value using an aggregator function.
class	ReduceJoin<NAMETYPE extends Name>	An optimization for tensor expressions where a join immediately follows a reduce.
class	Rename<NAMETYPE extends Name>	The rename tensor function returns a tensor where some dimensions are assigned new names.
class	Slice<NAMETYPE extends Name>	Returns a subspace of a tensor
class	Softmax<NAMETYPE extends Name>
class	XwPlusB<NAMETYPE extends Name>

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

Modifier and Type	Method	Description
TensorFunction<NAMETYPE>	Map.argument()
TensorFunction<NAMETYPE>	MapSubspaces.argument()
TensorFunction<NAMETYPE>	Reduce.argument()
TensorFunction<NAMETYPE>	Argmax.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Argmin.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	CellCast.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Concat.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	ConstantTensor.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	CosineSimilarity.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Diag.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	DynamicTensor.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	EuclideanDistance.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Expand.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Generate.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Join.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	L1Normalize.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	L2Normalize.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Map.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	MapSubspaces.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Matmul.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Merge.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Random.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Range.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Reduce.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	ReduceJoin.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Rename.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Softmax.withArguments(List<TensorFunction<NAMETYPE>> arguments)
abstract TensorFunction<NAMETYPE>	TensorFunction.withArguments(List<TensorFunction<NAMETYPE>> arguments)	Returns a copy of this tensor function with the arguments replaced by the given list of arguments.
TensorFunction<NAMETYPE>	XwPlusB.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Slice.withTransformedFunctions(Function<ScalarFunction<NAMETYPE>,ScalarFunction<NAMETYPE>> transformer)
TensorFunction<NAMETYPE>	TensorFunction.withTransformedFunctions(Function<ScalarFunction<NAMETYPE>,ScalarFunction<NAMETYPE>> transformer)

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

Modifier and Type	Method	Description
List<TensorFunction<NAMETYPE>>	Argmax.arguments()
List<TensorFunction<NAMETYPE>>	Argmin.arguments()
List<TensorFunction<NAMETYPE>>	CellCast.arguments()
List<TensorFunction<NAMETYPE>>	Concat.arguments()
List<TensorFunction<NAMETYPE>>	ConstantTensor.arguments()
List<TensorFunction<NAMETYPE>>	CosineSimilarity.arguments()
List<TensorFunction<NAMETYPE>>	Diag.arguments()
List<TensorFunction<NAMETYPE>>	DynamicTensor.arguments()
List<TensorFunction<NAMETYPE>>	EuclideanDistance.arguments()
List<TensorFunction<NAMETYPE>>	Expand.arguments()
List<TensorFunction<NAMETYPE>>	Generate.arguments()
List<TensorFunction<NAMETYPE>>	Join.arguments()
List<TensorFunction<NAMETYPE>>	L1Normalize.arguments()
List<TensorFunction<NAMETYPE>>	L2Normalize.arguments()
List<TensorFunction<NAMETYPE>>	Map.arguments()
List<TensorFunction<NAMETYPE>>	MapSubspaces.arguments()
List<TensorFunction<NAMETYPE>>	Matmul.arguments()
List<TensorFunction<NAMETYPE>>	Merge.arguments()
List<TensorFunction<NAMETYPE>>	Random.arguments()
List<TensorFunction<NAMETYPE>>	Range.arguments()
List<TensorFunction<NAMETYPE>>	Reduce.arguments()
List<TensorFunction<NAMETYPE>>	ReduceJoin.arguments()
List<TensorFunction<NAMETYPE>>	Rename.arguments()
List<TensorFunction<NAMETYPE>>	Slice.arguments()
List<TensorFunction<NAMETYPE>>	Softmax.arguments()
abstract List<TensorFunction<NAMETYPE>>	TensorFunction.arguments()	Returns the function arguments of this node in the order they are applied
List<TensorFunction<NAMETYPE>>	XwPlusB.arguments()
default Optional<TensorFunction<NAMETYPE>>	ScalarFunction.asTensorFunction()	Returns this as a tensor function, or empty if it cannot be represented as a tensor function
abstract List<TensorFunction<NAMETYPE>>	DynamicTensor.cellGeneratorFunctions()
List<TensorFunction<NAMETYPE>>	Slice.selectorFunctions()

Method parameters in com.yahoo.tensor.functions with type arguments of type TensorFunction

Modifier and Type	Method	Description
TensorFunction<NAMETYPE>	Argmax.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Argmin.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	CellCast.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Concat.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	ConstantTensor.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	CosineSimilarity.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Diag.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	DynamicTensor.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	EuclideanDistance.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Expand.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Generate.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Join.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	L1Normalize.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	L2Normalize.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Map.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	MapSubspaces.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Matmul.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Merge.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Random.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Range.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Reduce.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	ReduceJoin.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Rename.withArguments(List<TensorFunction<NAMETYPE>> arguments)
Slice<NAMETYPE>	Slice.withArguments(List<TensorFunction<NAMETYPE>> arguments)
TensorFunction<NAMETYPE>	Softmax.withArguments(List<TensorFunction<NAMETYPE>> arguments)
abstract TensorFunction<NAMETYPE>	TensorFunction.withArguments(List<TensorFunction<NAMETYPE>> arguments)	Returns a copy of this tensor function with the arguments replaced by the given list of arguments.
TensorFunction<NAMETYPE>	XwPlusB.withArguments(List<TensorFunction<NAMETYPE>> arguments)

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

Modifier	Constructor	Description
	Argmax(TensorFunction<NAMETYPE> argument)
	Argmax(TensorFunction<NAMETYPE> argument, String dimension)
	Argmax(TensorFunction<NAMETYPE> argument, List<String> dimensions)
	Argmin(TensorFunction<NAMETYPE> argument)
	Argmin(TensorFunction<NAMETYPE> argument, String dimension)
	Argmin(TensorFunction<NAMETYPE> argument, List<String> dimensions)
	CellCast(TensorFunction<NAMETYPE> argument, TensorType.Value valueType)
	Concat(TensorFunction<NAMETYPE> argumentA, TensorFunction<NAMETYPE> argumentB, String dimension)
	CosineSimilarity(TensorFunction<NAMETYPE> argument1, TensorFunction<NAMETYPE> argument2, String dimension)
	EuclideanDistance(TensorFunction<NAMETYPE> argument1, TensorFunction<NAMETYPE> argument2, String dimension)
	Expand(TensorFunction<NAMETYPE> argument, String dimension)
	Join(TensorFunction<NAMETYPE> argumentA, TensorFunction<NAMETYPE> argumentB, DoubleBinaryOperator combinator)
	L1Normalize(TensorFunction<NAMETYPE> argument, String dimension)
	L2Normalize(TensorFunction<NAMETYPE> argument, String dimension)
	Map(TensorFunction<NAMETYPE> argument, DoubleUnaryOperator mapper)
	MapSubspaces(TensorFunction<NAMETYPE> argument, String functionArg, TensorFunction<NAMETYPE> function)
	Matmul(TensorFunction<NAMETYPE> argument1, TensorFunction<NAMETYPE> argument2, String dimension)
	Merge(TensorFunction<NAMETYPE> argumentA, TensorFunction<NAMETYPE> argumentB, DoubleBinaryOperator merger)
	Reduce(TensorFunction<NAMETYPE> argument, Reduce.Aggregator aggregator)	Creates a reduce function reducing all dimensions
	Reduce(TensorFunction<NAMETYPE> argument, Reduce.Aggregator aggregator, String dimension)	Creates a reduce function reducing a single dimension
	Reduce(TensorFunction<NAMETYPE> argument, Reduce.Aggregator aggregator, List<String> dimensions)	Creates a reduce function.
	ReduceJoin(TensorFunction<NAMETYPE> argumentA, TensorFunction<NAMETYPE> argumentB, DoubleBinaryOperator combinator, Reduce.Aggregator aggregator, List<String> dimensions)
	Rename(TensorFunction<NAMETYPE> argument, String fromDimension, String toDimension)
	Rename(TensorFunction<NAMETYPE> argument, List<String> fromDimensions, List<String> toDimensions)
	Slice(TensorFunction<NAMETYPE> argument, List<Slice.DimensionValue<NAMETYPE>> subspaceAddress)	Creates a value function
	Softmax(TensorFunction<NAMETYPE> argument, String dimension)
	XwPlusB(TensorFunction<NAMETYPE> x, TensorFunction<NAMETYPE> w, TensorFunction<NAMETYPE> b, String dimension)