org.bytedeco.javacpp

Class tensorflow.StridedSliceGrad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.StridedSliceGrad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.StridedSliceGrad
extends Pointer

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. Arguments: * scope: A Scope object Returns: * Output: The output tensor.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.StridedSliceGrad.Attrs Optional attribute setters for StridedSliceGrad

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
StridedSliceGrad(Pointer p) Pointer cast constructor.
StridedSliceGrad(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input dy)
StridedSliceGrad(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input dy, tensorflow.StridedSliceGrad.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.StridedSliceGrad.Attrs	BeginMask(long x)
static tensorflow.StridedSliceGrad.Attrs	EllipsisMask(long x)
static tensorflow.StridedSliceGrad.Attrs	EndMask(long x)
static tensorflow.StridedSliceGrad.Attrs	NewAxisMask(long x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.StridedSliceGrad	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.StridedSliceGrad	output(tensorflow.Output output)
static tensorflow.StridedSliceGrad.Attrs	ShrinkAxisMask(long x)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

StridedSliceGrad

public StridedSliceGrad(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

StridedSliceGrad

public StridedSliceGrad(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input shape,
                        @ByVal
                        tensorflow.Input begin,
                        @ByVal
                        tensorflow.Input end,
                        @ByVal
                        tensorflow.Input strides,
                        @ByVal
                        tensorflow.Input dy)

StridedSliceGrad

public StridedSliceGrad(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input shape,
                        @ByVal
                        tensorflow.Input begin,
                        @ByVal
                        tensorflow.Input end,
                        @ByVal
                        tensorflow.Input strides,
                        @ByVal
                        tensorflow.Input dy,
                        @Const @ByRef
                        tensorflow.StridedSliceGrad.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

BeginMask

@ByVal
public static tensorflow.StridedSliceGrad.Attrs BeginMask(@Cast(value="tensorflow::int64")
                                                                  long x)

EndMask

@ByVal
public static tensorflow.StridedSliceGrad.Attrs EndMask(@Cast(value="tensorflow::int64")
                                                                long x)

EllipsisMask

@ByVal
public static tensorflow.StridedSliceGrad.Attrs EllipsisMask(@Cast(value="tensorflow::int64")
                                                                     long x)

NewAxisMask

@ByVal
public static tensorflow.StridedSliceGrad.Attrs NewAxisMask(@Cast(value="tensorflow::int64")
                                                                    long x)

ShrinkAxisMask

@ByVal
public static tensorflow.StridedSliceGrad.Attrs ShrinkAxisMask(@Cast(value="tensorflow::int64")
                                                                       long x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.StridedSliceGrad operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.StridedSliceGrad output(tensorflow.Output output)