StridedSliceGrad

public final class StridedSliceGrad

Returns the gradient of `StridedSlice`.

Since `StridedSlice` cuts out pieces of its `input` which is size `shape`, its gradient will have the same shape (which is passed here as `shape`). The gradient will be zero in any element that the slice does not select.

Arguments are the same as StridedSliceGrad with the exception that `dy` is the input gradient to be propagated and `shape` is the shape of `StridedSlice`'s `input`.

Nested Classes

class StridedSliceGrad.Options Optional attributes for StridedSliceGrad

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<U>	asOutput() Returns the symbolic handle of the tensor.
static StridedSliceGrad.Options	beginMask(Long beginMask)
static <U extends TType, T extends TNumber> StridedSliceGrad<U>	create(Scope scope, Operand<T> shape, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<U> dy, Options... options) Factory method to create a class wrapping a new StridedSliceGrad operation.
static StridedSliceGrad.Options	ellipsisMask(Long ellipsisMask)
static StridedSliceGrad.Options	endMask(Long endMask)
static StridedSliceGrad.Options	newAxisMask(Long newAxisMask)
Output<U>	output()
static StridedSliceGrad.Options	shrinkAxisMask(Long shrinkAxisMask)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<U extends TType>	asOutput() Returns the symbolic handle of the tensor.
abstract U extends TType	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<U extends TType>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "StridedSliceGrad"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static StridedSliceGrad.Options beginMask (Long beginMask)

public static StridedSliceGrad<U> create (Scope scope, Operand<T> shape, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<U> dy, Options... options)

Factory method to create a class wrapping a new StridedSliceGrad operation.

Parameters

scope	current scope
options	carries optional attributes values

StridedSliceGrad

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

public Output<U> asOutput ()

public static StridedSliceGrad.Options beginMask (Long beginMask)

public static StridedSliceGrad<U> create (Scope scope, Operand<T> shape, Operand<T> begin, Operand<T> end, Operand<T> strides, Operand<U> dy, Options... options)

Parameters

Returns

public static StridedSliceGrad.Options ellipsisMask (Long ellipsisMask)

public static StridedSliceGrad.Options endMask (Long endMask)

public static StridedSliceGrad.Options newAxisMask (Long newAxisMask)

public Output<U> output ()

public static StridedSliceGrad.Options shrinkAxisMask (Long shrinkAxisMask)