OutputIndexedSlices

Sparse representation of a set of tensor slices at given indices.

This class if a simple wrapper for a pair (or a set of three) of Output objects:

indices: A one-dimensional integer Output with shape [D0].
values: An Output of any data type, with shape [D0, D1, ..., Dn].
denseShape: Optionally, an integer Output with shape [LARGE0, D1, ..., Dn].

An OutputIndexedSlices is typically used to represent a subset of a larger Output, dense, of shape [LARGE0, D1, ..., Dn], where LARGE0 >> D0. The values in indices are the indices in the first dimension of the slices that have been extracted from the larger tensor.

The dense Output, dense, represented by OutputIndexedSlices, slices, has:

dense(slices.indices(i), ::, ::, ...) = slices.values(i, ::, ::, ...)

The OutputIndexedSlices class is used primarily in the definition of gradients for operations that have sparse gradients, such as gather.

Note that this is different than SparseOutput which uses multi-dimensional indices and scalar values.

indices: Indices along the first dimension of the corresponding dense Output.
values: Values corresponding to the provided indices.
denseShape: Shape of the corresponding dense Output.

Linear Supertypes

Serializable, Serializable, Product, Equals, OutputLike, OutputConvertible, AnyRef, Any

Instance Constructors

new OutputIndexedSlices(indices: Output, values: Output, denseShape: Output = null)

indices
Indices along the first dimension of the corresponding dense Output.
values
Values corresponding to the provided indices.
denseShape
Shape of the corresponding dense Output.

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def consumers: Array[Input]

Consumers of these indexed slices (i.e., ops that use this op output as one of their inputs).
Consumers of these indexed slices (i.e., ops that use this op output as one of their inputs).

Definition Classes
OutputIndexedSlices → OutputLike
def dataType: types.DataType

Data type of these op output indexed slices.
Data type of these op output indexed slices.

Definition Classes
OutputIndexedSlices → OutputLike
val denseShape: Output

Shape of the corresponding dense Output.
def device: String

Device on which these op output indexed slices will be placed.
Device on which these op output indexed slices will be placed.

Definition Classes
OutputIndexedSlices → OutputLike
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def graph: core.Graph

Graph that contains values, indices, and denseShape.
Graph that contains values, indices, and denseShape.

Definition Classes
OutputIndexedSlices → OutputLike
val indices: Output

Indices along the first dimension of the corresponding dense Output.
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def name: String

Name of this op output indexed slices.
Name of this op output indexed slices.

Definition Classes
OutputIndexedSlices → OutputLike
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def op: Op

Op that outputs these indexed slices.
Op that outputs these indexed slices.

Definition Classes
OutputIndexedSlices → OutputLike
def shape: core.Shape

Gets the Shape corresponding to the shape of the dense tensor that these indexed slices represent.
Gets the Shape corresponding to the shape of the dense tensor that these indexed slices represent.
returns
Dense tensor shape.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toOutput: Output

Returns the Output that this OutputLike object represents.
Returns the Output that this OutputLike object represents.

Definition Classes
OutputIndexedSlices → OutputLike → OutputConvertible
def toOutputIndexedSlices(optimize: Boolean = true): OutputIndexedSlices

Returns an OutputIndexedSlices that has the same value as this OutputLike.
Returns an OutputIndexedSlices that has the same value as this OutputLike.
optimize
Boolean flag indicating whether to optimize this conversion by using a constant op with the shape of this tensor at graph creation time (instead of execution time), if known.
returns
OutputIndexedSlices that has the same value as this OutputLike.

Definition Classes
OutputIndexedSlices → OutputLike
def toString(): String

Definition Classes
OutputIndexedSlices → AnyRef → Any
val values: Output

Values corresponding to the provided indices.
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package ops

final case class OutputIndexedSlices(indices: Output, values: Output, denseShape: Output = null) extends OutputLike with Product with Serializable

Instance Constructors

new OutputIndexedSlices(indices: Output, values: Output, denseShape: Output = null)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def consumers: Array[Input]

def dataType: types.DataType

val denseShape: Output

def device: String

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def graph: core.Graph

val indices: Output

final def isInstanceOf[T0]: Boolean

def name: String

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def op: Op

def shape: core.Shape

final def synchronized[T0](arg0: ⇒ T0): T0

def toOutput: Output

def toOutputIndexedSlices(optimize: Boolean = true): OutputIndexedSlices

def toString(): String

val values: Output

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from OutputLike

Inherited from OutputConvertible

Inherited from AnyRef

Inherited from Any

Ungrouped