org.bytedeco.javacpp

Class tensorflow.TensorArray

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.TensorArray

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

An array of Tensors of given size. Write data via Write and read via Read or Pack. Arguments: * scope: A Scope object * size: The size of the array. * dtype: The type of the elements on the tensor_array. Optional attributes (see Attrs): * element_shape: The expected shape of an element, if known. Used to validate the shapes of TensorArray elements. If this shape is not fully specified, gathering zero-size TensorArrays is an error. * dynamic_size: A boolean that determines whether writes to the TensorArray are allowed to grow the size. By default, this is not allowed. * clear_after_read: If true (default), Tensors in the TensorArray are cleared after being read. This disables multiple read semantics but allows early release of memory. * identical_element_shapes: If true (default is false), then all elements in the TensorArray will be expected to have have identical shapes. This allows certain behaviors, like dynamically checking for consistent shapes on write, and being able to fill in properly shaped zero tensors on stack -- even if the element_shape attribute is not fully defined. * tensor_array_name: Overrides the name used for the temporary tensor_array resource. Default value is the name of the 'TensorArray' op (which is guaranteed unique). Returns: * Output handle: The handle to the TensorArray. * Output flow: A scalar used to control gradient flow.

Nested Class Summary

Nested Classes

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

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
TensorArray(Pointer p) Pointer cast constructor.
TensorArray(tensorflow.Scope scope, tensorflow.Input size, int dtype)
TensorArray(tensorflow.Scope scope, tensorflow.Input size, int dtype, tensorflow.TensorArray.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.TensorArray.Attrs	ClearAfterRead(boolean x)
static tensorflow.TensorArray.Attrs	DynamicSize(boolean x)
static tensorflow.TensorArray.Attrs	ElementShape(tensorflow.PartialTensorShape x)
tensorflow.Output	flow()
tensorflow.TensorArray	flow(tensorflow.Output flow)
tensorflow.Output	handle()
tensorflow.TensorArray	handle(tensorflow.Output handle)
static tensorflow.TensorArray.Attrs	IdenticalElementShapes(boolean x)
tensorflow.Operation	operation()
tensorflow.TensorArray	operation(tensorflow.Operation operation)
static tensorflow.TensorArray.Attrs	TensorArrayName(BytePointer x)
static tensorflow.TensorArray.Attrs	TensorArrayName(String 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

TensorArray

public TensorArray(Pointer p)

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

TensorArray

public TensorArray(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input size,
                   @Cast(value="tensorflow::DataType")
                   int dtype)

TensorArray

public TensorArray(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input size,
                   @Cast(value="tensorflow::DataType")
                   int dtype,
                   @Const @ByRef
                   tensorflow.TensorArray.Attrs attrs)

Method Detail

ElementShape

@ByVal
public static tensorflow.TensorArray.Attrs ElementShape(@ByVal
                                                                tensorflow.PartialTensorShape x)

DynamicSize

@ByVal
public static tensorflow.TensorArray.Attrs DynamicSize(@Cast(value="bool")
                                                               boolean x)

ClearAfterRead

@ByVal
public static tensorflow.TensorArray.Attrs ClearAfterRead(@Cast(value="bool")
                                                                  boolean x)

IdenticalElementShapes

@ByVal
public static tensorflow.TensorArray.Attrs IdenticalElementShapes(@Cast(value="bool")
                                                                          boolean x)

TensorArrayName

@ByVal
public static tensorflow.TensorArray.Attrs TensorArrayName(@tensorflow.StringPiece
                                                                   BytePointer x)

TensorArrayName

@ByVal
public static tensorflow.TensorArray.Attrs TensorArrayName(@tensorflow.StringPiece
                                                                   String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.TensorArray operation(tensorflow.Operation operation)

handle

@ByRef
public tensorflow.Output handle()

handle

public tensorflow.TensorArray handle(tensorflow.Output handle)

flow

@ByRef
public tensorflow.Output flow()

flow

public tensorflow.TensorArray flow(tensorflow.Output flow)