org.bytedeco.javacpp

Class tensorflow.TensorArrayGather

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.TensorArrayGather

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Gather specific elements from the TensorArray into output value. All elements selected by indices must have the same shape. Arguments: * scope: A Scope object * handle: The handle to a TensorArray. * indices: The locations in the TensorArray from which to read tensor elements. * flow_in: A float scalar that enforces proper chaining of operations. * dtype: The type of the elem that is returned. 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. Returns: * Output: All of the elements in the TensorArray, concatenated along a new axis (the new dimension 0).

Nested Class Summary

Nested Classes

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

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
TensorArrayGather(Pointer p) Pointer cast constructor.
TensorArrayGather(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input indices, tensorflow.Input flow_in, int dtype)
TensorArrayGather(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input indices, tensorflow.Input flow_in, int dtype, tensorflow.TensorArrayGather.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.TensorArrayGather.Attrs	ElementShape(tensorflow.PartialTensorShape x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.TensorArrayGather	operation(tensorflow.Operation operation)
tensorflow.Output	value()
tensorflow.TensorArrayGather	value(tensorflow.Output value)

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

TensorArrayGather

public TensorArrayGather(Pointer p)

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

TensorArrayGather

public TensorArrayGather(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input handle,
                         @ByVal
                         tensorflow.Input indices,
                         @ByVal
                         tensorflow.Input flow_in,
                         @Cast(value="tensorflow::DataType")
                         int dtype)

TensorArrayGather

public TensorArrayGather(@Const @ByRef
                         tensorflow.Scope scope,
                         @ByVal
                         tensorflow.Input handle,
                         @ByVal
                         tensorflow.Input indices,
                         @ByVal
                         tensorflow.Input flow_in,
                         @Cast(value="tensorflow::DataType")
                         int dtype,
                         @Const @ByRef
                         tensorflow.TensorArrayGather.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()

ElementShape

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.TensorArrayGather operation(tensorflow.Operation operation)

value

@ByRef
public tensorflow.Output value()

value

public tensorflow.TensorArrayGather value(tensorflow.Output value)