Package com.yahoo.tensor.functions

Class DynamicTensor<NAMETYPE extends Name>

java.lang.Object

com.yahoo.tensor.functions.TensorFunction<NAMETYPE>

com.yahoo.tensor.functions.PrimitiveTensorFunction<NAMETYPE>

com.yahoo.tensor.functions.DynamicTensor<NAMETYPE>

public abstract class DynamicTensor<NAMETYPE extends Name>
extends PrimitiveTensorFunction<NAMETYPE>

A function which is a tensor whose values are computed by individual lambda functions on evaluation.

Author:

bratseth

Method Summary

Modifier and Type	Method	Description
List<TensorFunction<NAMETYPE>>	arguments()	Returns the function arguments of this node in the order they are applied
static <NAMETYPE extends Name> DynamicTensor<NAMETYPE>	from(TensorType type, List<ScalarFunction<NAMETYPE>> cells)	Creates a dynamic tensor function for a bound, indexed tensor
static <NAMETYPE extends Name> DynamicTensor<NAMETYPE>	from(TensorType type, Map<TensorAddress,ScalarFunction<NAMETYPE>> cells)	Creates a dynamic tensor function.
PrimitiveTensorFunction<NAMETYPE>	toPrimitive()	Translate this function - and all of its arguments recursively - to a tree of primitive functions only.
String	toString(ToStringContext<NAMETYPE> context)	Return a string representation of this context.
TensorType	type(TypeContext<NAMETYPE> context)	Returns the type of the tensor this produces given the input types in the context
TensorFunction<NAMETYPE>	withArguments(List<TensorFunction<NAMETYPE>> arguments)	Returns a copy of this tensor function with the arguments replaced by the given list of arguments.

Methods inherited from class com.yahoo.tensor.functions.TensorFunction

asScalarFunction, evaluate, evaluate, hashCode, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Details

type

public TensorType type(TypeContext<NAMETYPE> context)

Description copied from class: TensorFunction

Returns the type of the tensor this produces given the input types in the context

Specified by:

type in class TensorFunction<NAMETYPE extends Name>

Parameters:

context - a context which must be passed to all nexted functions when evaluating

arguments

public List<TensorFunction<NAMETYPE>> arguments()

Description copied from class: TensorFunction

Returns the function arguments of this node in the order they are applied

Specified by:

arguments in class TensorFunction<NAMETYPE extends Name>

withArguments

public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments)

Description copied from class: TensorFunction

Returns a copy of this tensor function with the arguments replaced by the given list of arguments.

Specified by:

withArguments in class TensorFunction<NAMETYPE extends Name>

toPrimitive

public PrimitiveTensorFunction<NAMETYPE> toPrimitive()

Description copied from class: TensorFunction

Translate this function - and all of its arguments recursively - to a tree of primitive functions only.

Specified by:

toPrimitive in class TensorFunction<NAMETYPE extends Name>

Returns:

a tree of primitive functions implementing this

toString

public String toString(ToStringContext<NAMETYPE> context)

Description copied from class: TensorFunction

Return a string representation of this context.

Specified by:

toString in class TensorFunction<NAMETYPE extends Name>

Parameters:

context - a context which must be passed to all nested functions when requesting the string value

from

public static <NAMETYPE extends Name>
DynamicTensor<NAMETYPE> from(TensorType type,
 Map<TensorAddress,ScalarFunction<NAMETYPE>> cells)

Creates a dynamic tensor function. The cell addresses must match the type.

from

public static <NAMETYPE extends Name>
DynamicTensor<NAMETYPE> from(TensorType type,
 List<ScalarFunction<NAMETYPE>> cells)

Creates a dynamic tensor function for a bound, indexed tensor