org.bytedeco.javacpp

Class tensorflow.TensorArrayGradWithShape

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.TensorArrayGradWithShape

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Creates a TensorArray for storing multiple gradients of values in the given handle. Similar to TensorArrayGradV3. However it creates an accumulator with an expanded shape compared to the input TensorArray whose gradient is being computed. This enables multiple gradients for the same TensorArray to be calculated using the same accumulator. Arguments: * scope: A Scope object * handle: The handle to the forward TensorArray. * flow_in: A float scalar that enforces proper chaining of operations. * shape_to_prepend: An int32 vector representing a shape. Elements in the gradient accumulator will have shape which is this shape_to_prepend value concatenated with shape of the elements in the TensorArray corresponding to the input handle. * source: The gradient source string, used to decide which gradient TensorArray to return. Returns: * Output grad_handle * Output flow_out

Nested Class Summary

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
TensorArrayGradWithShape(Pointer p) Pointer cast constructor.
TensorArrayGradWithShape(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, tensorflow.Input shape_to_prepend, BytePointer source)
TensorArrayGradWithShape(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, tensorflow.Input shape_to_prepend, String source)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	flow_out()
tensorflow.TensorArrayGradWithShape	flow_out(tensorflow.Output flow_out)
tensorflow.Output	grad_handle()
tensorflow.TensorArrayGradWithShape	grad_handle(tensorflow.Output grad_handle)
tensorflow.Operation	operation()
tensorflow.TensorArrayGradWithShape	operation(tensorflow.Operation operation)

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

TensorArrayGradWithShape

public TensorArrayGradWithShape(Pointer p)

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

TensorArrayGradWithShape

public TensorArrayGradWithShape(@Const @ByRef
                                tensorflow.Scope scope,
                                @ByVal
                                tensorflow.Input handle,
                                @ByVal
                                tensorflow.Input flow_in,
                                @ByVal
                                tensorflow.Input shape_to_prepend,
                                @tensorflow.StringPiece
                                BytePointer source)

TensorArrayGradWithShape

public TensorArrayGradWithShape(@Const @ByRef
                                tensorflow.Scope scope,
                                @ByVal
                                tensorflow.Input handle,
                                @ByVal
                                tensorflow.Input flow_in,
                                @ByVal
                                tensorflow.Input shape_to_prepend,
                                @tensorflow.StringPiece
                                String source)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.TensorArrayGradWithShape operation(tensorflow.Operation operation)

grad_handle

@ByRef
public tensorflow.Output grad_handle()

grad_handle

public tensorflow.TensorArrayGradWithShape grad_handle(tensorflow.Output grad_handle)

flow_out

@ByRef
public tensorflow.Output flow_out()

flow_out

public tensorflow.TensorArrayGradWithShape flow_out(tensorflow.Output flow_out)